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Projects: RNA-seq data for paper, RNA-seq data
Institutions: Previwo AS, Norwegian University of Life Sciences


Projects: CF transcriptome
Institutions: RNA Systems Biology Lab - BioISI/FCUL
Projects: ComPASs - Common Pathways in Amyotrophic Lateral Sclerosis (ALS) and Spinal Muscular Atrophy (SMA), miRiAD - exploring the role of microRNAs in T cell function and anti-viral defence, LungCARD - Blood test for clinical therapy guidance of non-small cell lung cancer patients, Mapping Disease Modules Overlaps in Biological Networks
Institutions: RNA Systems Biology Lab - BioISI/FCUL

Projects: ComPASs - Common Pathways in Amyotrophic Lateral Sclerosis (ALS) and Spinal Muscular Atrophy (SMA), miRiAD - exploring the role of microRNAs in T cell function and anti-viral defence, LungCARD - Blood test for clinical therapy guidance of non-small cell lung cancer patients
Institutions: RNA Systems Biology Lab - BioISI/FCUL
Expertise: Bioinformatics, Systems Biology
Projects: Stress granules, MESI-STRAT
Institutions: University of Bergen
Expertise: RNA, alternative splicing, Bioinformatics, Genomics
More detailed profile here https://www.uib.no/en/persons/Sushma.Grellscheid
Projects: iRhythmics, OLCIR: Optimization of Lung Cancer Therapy with Ionizing Radiation
Institutions: University of Rostock

Expertise: Bioinformatics, Transcriptomics, RNA-Seq, AI, Data Integration
Projects: CF transcriptome, miRiAD - exploring the role of microRNAs in T cell function and anti-viral defence, ComPASs - Common Pathways in Amyotrophic Lateral Sclerosis (ALS) and Spinal Muscular Atrophy (SMA), LungCARD - Blood test for clinical therapy guidance of non-small cell lung cancer patients, UnCentre - Unlocking satellite DNA and centromere structure in vertebrate chromosomes, PhotoBoost
Institutions: RNA Systems Biology Lab - BioISI/FCUL, Instituto de Tecnologia Química e Biológia - Universidade Nova de Lisboa
Group Leader and Assistant Professor
Projects: FAIRDOM user meeting
Institutions: Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (HKI)
Expertise: Bioinformatics, Data Management, Python, R, Databases, RNA-Seq, secondary metabolites, gene clusters, Perl
Professor in Neuroscience and Molecular Pharmacology at UMCU, Utrecht, NL
PhD in Biotechnology, Research Associate at Department of Biotechnology and Systems Biology, National Institute of Biology
Projects: SilicoTryp
Institutions: University of Edinburgh
I am a Postdoc at Keith Matthews lab in the Institute of Immunology and Infection Research, Edinburgh University. As part of the SilicoTryp project we are in charge of performing Targeted disruption and Overexpression of critical enzymes of Trypanosoma brucei redox metabolism enzymes and developmental perturbations to provide part of the necessary data for the construction of the model. Also generate consistent samples, so that data can be integrated and quantification results are guarateed to ...

Projects: COVID-19 Disease Map
Institutions: National Institute for Infectious Diseases "L.Spallanzani"

Expertise: Network Analysis, Modelling
Tools: R, RNAseq, network theory, Genomics
Institutions: University of Ulm
Prof. Dr. Peter Dürre Head, Department of Microbiology and Biotechnology, University of Ulm 89069 Ulm, Germany

Projects: SysMO-LAB
Institutions: University of Rostock
Postdoc @ Institute of Medical Microbiology, University of Rostock
Projects: COSMIC
Institutions: University of Ulm
Expertise: Microbiology, Molecular Biology, Regulatory Networks
Tools: Fermentation, DNA, RNA, Proteins, Gaschromatography, Creation of Mutants
Dr. Bettina Schiel-Bengelsdorf Senior Scientist Department of Microbiology and Biotechnology University of Ulm 89069 Ulm, Germany
Projects: SilicoTryp
Institutions: University of Heidelberg
Expertise: Biochemistry
Tools: Biochemistry and protein analysis, enzyme kinetics, RNA interference
Professor of Biochemistry at the Centre of Biochemistry of Heidelberg University, teaching biochemistry for medical and biology students Research focus is the trypanothione redox metabolism of African trypanosomes (Trypanosoma brucei). The work is funded within the Collaborative Research Centre 544 on "Control of Tropical Infectious Diseases" of the German Research Foundation
RNA-Seq projects from SECARNA
Projects: Investigation of the activity of antisense oligonucleotides targeting multiple genes
Web page: Not specified
The RNA Systems Biology Lab Programme compiles the different research projects developed in our lab. The RNA Systems Biology Lab is a collaborative research lab headed by PIs Margarida Gama-Carvalho and Francisco Pinto at the Department of Chemistry and Biochemistry, Faculty of Sciences, University of Lisbon, and integrates the BioSystems and Integrative Sciences Institute (BioISI) Gene Expression and Regulation Group, headed by Margarida Gama-Carvalho. Our research brings together computational ...
Projects: CF transcriptome, miRiAD - exploring the role of microRNAs in T cell function and anti-viral defence, ComPASs - Common Pathways in Amyotrophic Lateral Sclerosis (ALS) and Spinal Muscular Atrophy (SMA), LungCARD - Blood test for clinical therapy guidance of non-small cell lung cancer patients, UnCentre - Unlocking satellite DNA and centromere structure in vertebrate chromosomes, Mapping Disease Modules Overlaps in Biological Networks
Web page: Not specified
Background. RB1 is a paradigm gene for heritable cancer. Almost all RB1 mutation-carriers develop retinoblastoma (heritable-Rb-patient) during childhood and many heritable-Rb-survivors develop second primary malignancies (SPMs; notably sarcomas and melanomas) throughout life, which are often fatal. To date, no standard protocols are available for early detection of SPMs. Recently, blood-based cancer tests have opened up encouraging new possibilities for surveillance. We have developed novel ...
Projects: NIRBTEST
Web page: Not specified
The Collaborative Research Center / Transregio 124 Pathogenic fungi and their human host: Networks of Interaction - FungiNet studies the interaction of the human pathogenic fungi Candida albicans and Aspergillus fumigatus with their host using a Systems Biology approach. The yeast Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of life-threatening invasive mycoses in Europe. Despite the increasing incidence of these infections, the current ...
Projects: Not specified
Web page: http://www.funginet.de/
Projects that do not fall under current programmes.
Projects: Manchester Institute for Biotechnology, ICYSB 2015 - International Practical Course in Systems Biology, iRhythmics, INBioPharm, EmPowerPutida, Systo models, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, Multiscale modelling of state transitions in the host-microbiome-brain network, Extremophiles metabolsim, NAD COMPARTMENTATION, Agro-ecological modelling, Bergen(Ziegler lab) project AF-NADase, NAMPT affinity, Stress granules, Modelling COVID-19 epidemics, Bio-crop, ORHIZON, Coastal Data, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, hybrid sequencing, HOST-PAR, BioCreative VII, Boolean modeling of Parkinson disease map, Orphan cytochrome P450 20a1 CRISPR/Cas9 mutants and neurobehavioral phenotypes in zebrafish, Selective Destruction in Ageing, Viral Metagenomic, Synthetic biology in Synechococcus for bioeconomy applications (SynEco), testproject, SDBV ephemeral data exchanges, Test project, The BeeProject, PHENET, LiceVault, EbN1 Systems Biology, UMRPégase, DeCipher, Heat stress response of the red-tide dinoflagellate Prorocentrum cordatum, middle ear, datamgmt, Institut Pasteur's projects, The nucleus of Prorocentrum cordatum, qpcr, MRC-UNICORN, Test project for Sciender, qPCR, Artificial organelles_Pathogen digestion, Supplementary Information 2 associated with the manuscript entitled " Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", FAIR Functional Enrichment, PTPN11 mutagenesis, Supplementary Information 2 associated with the manuscript entitled "Label free Mass spectrometry proteomics reveals different pathways modulated in THP-1 cells infected with therapeutic failure and drug resistance Leishmania infantum clinical isolates", iPlacenta- Placenta on a chip, Near Surface Wave-Coherent Measurements of Temperature and Humidity, A Meta-Analysis of Functional Recovery of Aphasia after Stroke by Acupuncture Combined with Language Rehabilitation Training, Phytoplankton phenology in the Bay of Biscay: using remote sensing to assess and raise awareness of climate change impacts on the sea, Master-BIDS, Vitis Data Crop, MESI-STRAT Review, Establishing an innovative and transnational feed production approach for reduced climate impact of the aquaculture sector and future food supply, ARAX: a web-based computational reasoning system for translational biomedicine, Adaptation of Salmonella enterica, I AM FRONTIER, ., PhD Nicotinic Acetylcholine Receptors, SFB1361 playground, Amaizing, Conspicuous chloroplast with LHC‒PSI/II‒megacomplex and diverse PBPs in the marine dinoflagellate Prorocentrum cordatum, icpm-kth, SDBV/HITS, sample project, TestingSeek, Genomic Medicine, Remodeling of cIV, Virtual Human Platform for Safety Assessment, PROMISEANG, URGI, Matsutake, UNDESIRABLE EFFECTS OF POST COVID-19 VACCINATION: A DESCRIPTIVE STUDY, WINTER 2022, Semantic Table Interpretation in Chemistry, MS identification of L infantum proteins related to their drug resistance patterns for new drug targets identification and ecotoxicological evaluations of their environmental and interspecies impact, the Supplementary materials for paper, ToxiGen - Reproductive toxicity and transgenerational effects of petroleum mixtures in fish, PhotoBoost, Measurement of Fisheries Provisioning Services and its Pressure to Support Sustainability of Fisheries in The Jatigede Reservoir, Indonesia, FIsh data on 2022 in the Jatigede Reservoir, ImmPort - data sharing, MESI-Review 2024, REWIRED: comparative RNA-seq and ATAC-seq in six salmonids and six outgroup telest fishes, REWIRED, Data Repository, APPN Test Project, Enhanced Anticancer Effect of Thymidylate Synthase Dimer Disrupters Promoting Intracellular Accumulation, BIDS, BioRECIPE representation format, UMass Chan BioImage DMS Core_FAIR Metadata Templates, FUNCEMM, Pectobacterium pangenome, New Optical Coherence Tomography Biomarkers Identified with Deep Learning for Risk Stratification of Patients with Age-related Macular Degeneration, Virulence-related genes expression in planktonic mixed cultures of Candida albicans and non-albicans Candida species, Screening of Secondary Plant Metabolites on Antihelmintic Activity in Ascaris scum, Munich Cluster for Systems Neurology, Test project May 2024, Biospecimen Collection Protocol, Winter Wheat (Triticum aestivum L.) Grain Yield, Quality, and Net Photosynthesis When Grown Under Semi-Transparent Cadmium Telluride Photovoltaic Modules Near Maturity, Benefit for All FAIR Data, Implementation of Nanopore Sequencing for Detection of Treatment Induced Transcriptomic and Epitranscriptomic Changes in Leukaemic Tumour Models, DPL, Glycogen Metabolism in bacteria, ILS Ceramide Ring Trial, Project Test, DeepCurate, Revisiting mutational resistance to ampicillin and cefotaxime in Haemophilus influenzae, Biochemical characterization of the feedforward loop between CDK1 and FOXM1 in epidermal stem cells, Drug Discovery and Biotechnology Standard Operating Procedures, EDITH (Ecosystem Digital Twins in Health) test project, Fluid flow project, Smart Garden Watering System, The role of different fatty acids, AQUACIRCLE, IDIM, Sampling vicinity of industrial settings for pathogens and GMO identification, RNA-seq data for paper, RNA-seq data, Academic Scientific Research Group, SYLOBIO, 3T3 murine fibroblast as feeder-layer, Comparative Analysis of decell efficiency and structural integrity of vessels for tissue engineering aplications, Raman Data, Alters-Krebs-Korrelation anhand der Patienteneingänge 2024, Cassava Gates Curation, GWI-HDMT stemcells, HubMOL, test, Lipopeptide research @ VIB, PRIN 2022 - High-resolution study of translational dynamics in human epithelial stem cells, Automated Hepatic Vessel Segmentation in Whole-Slide Images Using U-Net Variants with Attention and SE Blocks, Diverse Metabolic Control of Phosphoglucomutases by Bisphosphorylated Sugars in Heterotrophic Bacteria, GENBioDORA, Preclinical Imaging and Testing Core at MIT Koch Institute, Ultrasound Guided Injection Protocol Development, BullNet, TERRACOTA, B.Ed Colleges in Bangalore, LIRA, reNEW, Cross-Feeding B.theta, Surgery Analyzer, Pseudomonas aeruginosa and its vesicles, FAIRe Tests BMDS, LabscriptAI, Principais cânceres que afetam mulheres no Brasil, DKDM: Diabetic Kidney Disease Map, NGID, Transforming Marine Waste into Sustainable Value_WASTE2TASTE
Web page: Not specified
Standard ASO design is based on the sequence complementarity of the oligo to its target. However, the degree of target knockdown that ASOs can achieve varies strongly between different ASOs having full complementarity to the target. To determine which factors affect the ASOs’ activity, Secarna has used a novel approach: the Company has designed and screened 51 multi-specific ASOs with a common target (IDO1, a gene involved in tryptophan metabolism), and varying numbers of diverse other targets ...
Programme: RNA-seq
Public web page: Not specified
Organisms: Homo sapiens
Programme: RNA Systems Biology Lab
Public web page: Not specified
Organisms: Homo sapiens
This project aims to characterise the mechanisms through which microRNAs and small non-coding RNAs act to regulate cellular processes focusing on Naïve CD4 T cell activation and viral replication - namely HIV - and to explore their potential use as a therapeutic co-adjuvant agents or targets.
Organisms: Homo sapiens
Programme: RNA Systems Biology Lab
Public web page: http://flysmals.campus.ciencias.ulisboa.pt
Organisms: Homo sapiens, Drosophila melanogaster
Organisms: Homo sapiens
Programme: RNA Systems Biology Lab
Public web page: Not specified
Organisms: Homo sapiens, Peromyscus maniculatus
Understanding the molecular basis of diseases can shed light into new methods to manage and cure diseases. Exploring the common or unique molecular mechanisms among a group of diseases may enhance our understanding of each disease or uncover therapeutic approaches that can be effective in multiple diseases. In this project we develop methods that use biological networks and known gene-disease associations to identify common molecular mechanisms associated across multiple diseases.
Organisms: Not specified
Aliivibrio Vl2 vs. Moritella viscosa
Programme: Independent Projects
Public web page: Not specified
Organisms: Not specified
Vl2 vs M. viscosa
Programme: Independent Projects
Public web page: Not specified
Organisms: Not specified
This project’s main objective was to identify novel Colorado potato beetle gene targets for the development of specific RNAi insecticides and further validate prospective targets using transcriptomics. The work included gene selection, establishment of double-stranded RNA (dsRNA) production methodology and the evaluation of dsRNAs’ insecticidal potential in CPB feeding laboratory and field trials.
Programme: NIBSys
Public web page: http://projects.nib.si/rnainval/
Start date: 1st Nov 2014
End date: 31st Oct 2017
Organisms: Leptinotarsa decemlineata
Programme: Independent Projects
Public web page: Not specified
Organisms: Not specified
Background: The immunoproteasome is expressed constitutively in immune cells alongside standard proteasomes and forms multiple mixed types of proteasome complexes. These mixed 20S proteasomes may have distinct proteolytic activities depending on their subunit composition and may thereby regulate immune cell function. Using site-specific versus pan-inhibitors of the immunoproteasome, we here aim to dissect the biological functions of the three active sites of the immunoproteasome for monocyte cell ...
Programme: Research Center Borstel
Public web page: Not specified
Organisms: Not specified
Bistable switches are the key elements of the regulatory networks governing cell development, differentiation and life-strategy decisions. Transcriptional noise is a main determinant that causes switching between different states in bistable systems. By using the human pathogen Streptococcus pneumoniae as a model bacterium, we will investigate how transcriptional fidelity and processivity influence (noisy) gene expression and participate in bistability. To study this question, we will use both ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=163
Organisms: Streptococcus pneumoniae
The placenta remains the key to maternal diseases such as Pre-eclampsia (PE) and Intrauterine growth restriction (IUGR), however the pathophysiology of these disorders remains elusive. The aim of this study is to characterize the key proteomic variations between PE and IUGR, to better understand the pathoetiology of these diseases.Term placentas each were collected from PE, IUGR pregnancies, and age and BMI matched healthy controls. Quadrupole-orbitrap mass spectrometer was used in data dependent ...
Programme: iPlacenta: A European Union Horizon 2020 innovative training network (ITN)
Public web page: Not specified
Organisms: Not specified
Rationale: Individuals with a cancer predisposition due to a mutation in the paradigm tumor suppressor gene RB1, have a high risk to develop the childhood cancer retinoblastoma (Rb). Biopsies are not possible in Rb, before treatment selection. Heritable Rb patients have also a high risk to develop other types of second primary, either childhood or adult, malignancies (SPMs), notably sarcomas and melanomas. Remarkably, SPMs are now the leading cause of death in heritable-Rb-survivors. Unfortunately, ...
Public web page: Not specified
Organisms: Homo sapiens
BaCell-SysMO 2 Modelling carbon core metabolism in Bacillus subtilis – Exploring the contribution of protein complexes in core carbon and nitrogen metabolism.
Bacillus subtilis is a prime model organism for systems biology approaches because it is one of the most advanced models for functional genomics. Furthermore, comprehensive information on cell and molecular biology, physiology and genetics is available and the European Bacillus community (BACELL) has a well-established reputation for applying ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=53
Organisms: Bacillus subtilis
ROR ID: Not specified
Department: Not specified
Country: Germany
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Norway
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Portugal
City: Not specified
Web page: Not specified
ROR ID: Not specified
Department: Not specified
Country: Norway
City: N-1432 Ås
Web page: http://www.nmbu.no/en
The aim of the study is to assess the global function of RNase Y in RNA processing and degradation in Bacillus subtilis. To this end we constructed a strain allowing controlled depletion of RNase Y and used microarrays to analyze the transcriptome in response to the expression level of RNase Y.
Submitter: Praveen kumar Sappa
Studies: Identification of targets of the essential RNase Y of Bacillus subtilis
Assays: Transcritome data_Identification of targets of the essential RNase Y of ...
Snapshots: No snapshots
Aim: To provide quantitative data that will allow modeling of gene expression for all enzymes of redox metabolism and the pentose phosphate pathway. Modeling will be used to predict enzyme levels based on the integration of an RNA degradation model with translation and protein degradation rates.
Plan: The amounts of a protein in a cell can be determined by the rates of transcription, mRNA processing, translation, mRNA turnover and protein degradation. In trypanosomes analysis is simpler because ...
Submitter: Abeer Fadda
Studies: Determination and integration of abundance, processing efficiency, and d...
Assays: Modelling the gene expression cascade with length-dependent processes, mRNA decay assay, pre-mRNA processing rate
Snapshots: No snapshots
Short Name: T21_SXPsysbio Title: Use a systems biology approach to identify regulatory bottlenecks in SxPv1 Description: Samples from SXPv1.0 plants as well as sister nulls (progeny from the original transgenic event in which the transgene has segregated) and wild type will be grown and leaf samples taken for RNA extraction and profiling of primary metabolites and volatiles (target pheromones as well as potential derivatives) (P1, P5). Phenotypic and GC-MS data will be obtained and analysed from ...
Submitter: Marko Petek
Studies: Investigation files, _S_P1_SPv10T0andT1, _S_P1_SPv10T2andT3, _S_P1_SPv1TransientExp, _S_P1_SxPAltAcTransferases, _S_P1_SxPv10vsSxP12, _S_P1_SxPv12T2, _S_P4_CoExpNetViz, _S_P4_DiNAR, _S_P4_GAtreat, _S_P4_SxP10-newG-DE, _S_P4_SxP10-oldG-DE, _S_P4_SxP1012-finalG, _S_P4_SxP12-newG-DE
Assays: _A_00_SxP_photos-phenotyping, _A_01_RNA1-RNAisol, _A_01_SxP_Data_Only-CoExp, _A_01_SxPv12_fastq-QC, _A_01_mapping-CLC, _A_01_toNewGenome-CLC-mapping, _A_02_FastQC-bioinfo, _A_02_Nb_datasets-CoExp, _A_02_SxPv12_mapping-CLC, _A_02_limmavoomDE-R, _A_02a_limmavoom-multim-R, _A_02a_limmavoomDEbylines-R, _A_02b_limmavoom-uniquem-R, _A_03_MapMan-visualisation, _A_03_NewGenome-MapMan, _A_03_SxPv12_limmavoom_DE-R, _A_03_mapping-CLC, _A_03a_mapping2-STAR, _A_04_GSEA-Stat, _A_04_MapManBINenrich-GSEA, _A_04_Mercator-bioinfo, _A_04_SxPv12_GeneSetEnrichment-RNAseg-GSEA, _A_05_DEstat-R, _A_05_Phenotype_analysis-Stat, _A_05_VOCcomp-Bioinfo, _A_05a_DEstat2-R, _A_05b_DElow-wt-R, _A_06_MapMan-bioinfo, _A_06_SxPv1-0_Illumina-Centrifuge, _A_07_NbAUSv1-0-InterPro, _A_07_transgenes-CLC, _A_CKN-DiNAR, _A_CKN_NbL35-DiNAR, _A_LeavesSxPv10vsv12-GCMS, _A_P4_v10v12-phenotyping, _A_PIS-DiNAR, _A_PIS-SxPv12-DiNAR, _A_PIS_NbL35-DiNAR, _A_RootsSxPv10vsv12-GCMS, _A_SP10T0Analysis-GCMS, _A_SP10T1Analysis-GCMS, _A_SPv10EaDActAnalysis-GCMS, _A_SPv10T2Analysis-GCMS, _A_SPv10T3Analysis-GCMS, _A_SPv10_phenotyping-Images, _A_SxPAlternativeAcetyltransferases-GCMS, _A_SxPv10vsv12-phenotyping, _A_SxPv12ScreeningT2-GCMS, _A_TransientSPv11andSPv12-GCMS, _I_T21_SXPsysbio-files, _S_P1_SPv10T0andT1-files, _S_P1_SPv10T2andT3-files, _S_P1_SPv1TransientExp-files, _S_P1_SxPAltAcTransferases-files, _S_P1_SxPv10vsSxP12-files, _S_P1_SxPv12T2-files, _S_P4_CoExpNetViz-files, _S_P4_DiNAR-files, _S_P4_GAtreat-files, _S_P4_SxP10-newG-DE-files, _S_P4_SxP10-oldG-DE-files, _S_P4_SxP1012-finalG-files, _S_P4_SxP12-newG-DE-files
Snapshots: No snapshots
The raw data generated in the scope of the SysMetEx project for RNAseq, proteomics, and imaging analysis. The data was generated on single and mixed species cultures of A. Caldus, L.ferriphilum, and/or S.thermosulfidooxidans. Raw RNA data is combined in an ENA umbrella study summarising all short read data generated in the project. Raw proteomics data is provided for distinct conditions at the pride repository. Imaging data is provided for distinct conditions at a zenodo repository.
Submitter: Malte Herold
Studies: Biofilms on chalcopyrite grains, Continuous cultures, Planktonic cells, Supplemental Files
Assays: Links to code repositories, Microscopy imaging, Proteomics rawdata, Proteomics rawdata, Proteomics rawdata, RNAseq rawdata, RNAseq rawdata, RNAseq rawdata, Supplemental Files
Snapshots: Snapshot 1, Snapshot 2
The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work is published in Urquiza-Garcia and Millar, Testing the inferred transcription rates of a dynamic, gene network model in absolute units, In Silico Plants, 2021.
Starting from the P2011 model, this project corrects theoretical issues (EC steady state binding assumption) to form an intermediate model (first version U2017.1; published as U2019.1) model, rescales ...
Data, models and simulations for the Chew et al. 2014 paper (PNAS, https://doi.org/10.1073/pnas.1410238111), using wild-type Arabidopsis ecotype Col-0 in standard 12hL:12hD growth conditions, compared to La(er) or Fei-0 accessions, or to plants overexpressing a micro RNA (miR156).
Submitter: Andrew Millar
Studies: Construction of Framework Model v1, Test of FMv1, growth study of Col-0 accession in 12L:12D, Test of FMv1, growth study of Col-0 accession in 5 photoperiods, Test of FMv1, growth study of other accessions and transgenic line in 12...
Assays: Arabidopsis Framework Model v1, Matlab and Simile version, Gas exchange of Fei-0 and Ler plants in 12hL:12hD, Growth of Col-0 and 35S:miR156 plants in 12hL:12hD, Growth of Col-0 in 12hL:12hD, Growth of Col-0 plants in 5 photoperiods, Growth of Fei-0 and Ler plants in 12hL:12hD
Snapshots: No snapshots
Short Name: 03_Omics Title: Omics analysis of RNAi response in CPB Description: Transcriptomics and metagenome changes upon feeding CPB larvae with dsRNA Phenodata: ./phenodata_20210115.txt pISA Investigation creation date: 2021-01-15 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_ns-dsRNA_trans, _S_02_metagenome_resp
Assays: _A_01-DNAisol, _A_01_RNA-Seq_dsEGFP-NGS, _A_02-DNASeq, _A_02_CLC-RNASeq, _A_03-Centrifuge, _A_04_DE_divers-R, _A_05_extr_reads-rcf, _A_06_extr_bact-assembly, _A_07_allReads_meta-assembly, _I_03_Omics-files, _S_01_ns-dsRNA_trans-files, _S_02_metagenome_resp-files
Snapshots: No snapshots
The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work will be published as Urquiza-Garcia, Molina, Halliday and Millar, title "Abundant clock proteins point to missing molecular regulation in the plant circadian clock", in Molecular Systems Biology, 2025 doi 10.1038/s44320-025-00086-5.
Starting from the U2019.3 and U2020.3 models, this project rescales parameters to match protein levels that were predicted ...
Submitter: Andrew Millar
Studies: Construction of NanoLUC-tagged plants, Estimating DNA-binding affinities for Arabidopsis proteins, Measuring absolute levels of clock proteins with calibrated NanoLUC assays, Predicting absolute levels of clock proteins with a simple model, Recalibrating the clock models for absolute protein levels, to create mo..., Reproducibility documentation
Assays: Clock protein number determination with NanoLUC calibration, Clock proteins NanoLUC fusion raw data, Gatway maps of genomic regions of clock genes, In vivo bioluminescence of clock protein-NanoLUC fusions: example experi..., Jupyter notebook Predicting Protein Numbers, Propagating scaling factors into model parameters for U2019.4->U2019.5 a..., Protein level time series, Python packages, Reproducibility tool set, Selection of complemented transgenic lines, TiMet RNA timeseries data, promoter binding affinity calculations on the genome based on PBMs and E...
Snapshots: Snapshot 1
For cells to accurately read out the genomic content, high fidelity during transcription is required. This is mainly established by the accuracy of the active centre of RNA polymerase (RNAP). Based on in vitro experiments with Escherichia coli RNAP it was also suggested that proofreading of transcription via RNA hydrolysis by RNAP may contribute to overall fidelity and processivity. RNAP’s intrinsic cleavage activity is stimulated by the highly conserved Gre factors suggesting that Gre factors ...
Submitter: Jan-Willem Veening
Investigation: Wetlab approach to transcription fidelity
Assays: RNA-Seq
Snapshots: No snapshots
Snapshots: RNA-Seq PA14 A549, RNA-Seq PA14 A549
The aim of the study is to assess the global function of RNase Y in RNA processing and degradation in Bacillus subtilis. To this end we constructed a strain allowing controlled depletion of RNase Y and used microarrays to analyze the transcriptome in response to the expression level of RNase Y.
Submitter: Praveen kumar Sappa
Investigation: Identification of targets of the essential RNas...
Assays: Transcritome data_Identification of targets of the essential RNase Y of ...
Snapshots: No snapshots
The P2011 model (linked in the Assay below) was rescaled to match TiMet RNA data in clock mutants from Flis et al. 2015, also linked here as separate mean and SD files. The raw TiMet data is available elsewhere on FAIRDOMHub.
Submitter: Andrew Millar
Investigation: Absolute units in Arabidopsis clock models up t...
Snapshots: No snapshots
Short Name: P4_SxP10-oldG-DE Title: SxPv1.0 RNA-seq analysis using old Nb genome Description: Analysis of RNA-seq data (Illumina short reads) of two lines of SexyPlants (SxP v1.0) utilising the published (old) genome of Nicotiana benthamiana. Raw Data: Principal investigator: Ĺ pela Baebler License: Creative Commons Attribution 4.0 Sharing permission: Private Upload to FAIRDOMHub: No
Submitter: Marko Petek
Investigation: _I_T21_SXPsysbio
Assays: _A_00_SxP_photos-phenotyping, _A_01_RNA1-RNAisol, _A_02_FastQC-bioinfo, _A_03_mapping-CLC, _A_03a_mapping2-STAR, _A_04_Mercator-bioinfo, _A_05_DEstat-R, _A_05a_DEstat2-R, _A_05b_DElow-wt-R, _A_06_MapMan-bioinfo, _A_07_transgenes-CLC, _S_P4_SxP10-oldG-DE-files
Snapshots: No snapshots
Since over 40 enzymes will be investigated for their mRNA abundance, processing, and degradation kinetics, the less tedious and more accurate Next Generation Sequencing of the entire mRNA repertoire of the cell is employed. To optimise the proportion of useful sequence, while including RNA fragments that are products of of degradation, rRNA is depleted using the eukaryotic Ribominus kit (Ambion). Two biological replicates are treated with Sinefungin and Actinomycin D to inhibit RNA processing and ...
Submitter: Abeer Fadda
Investigation: Gene expression in Trypanosoma brucei
Assays: Modelling the gene expression cascade with length-dependent processes, mRNA decay assay, pre-mRNA processing rate
Snapshots: No snapshots
Short Name: P4_SxP10-newG-DE Title: SxPv1.0 RNA-seq analysis using the new Nb genome Description: Analysis of RNA-seq data (Illumina short reads) of two lines of SexyPlants (SxP v1.0) utilising the not yet published now high quality genome of Nicotiana benthamiana from the Newcotiana project. Raw Data: Principal investigator: Ĺ pela Baebler License: Creative Commons Attribution 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Investigation: _I_T21_SXPsysbio
Assays: _A_01_toNewGenome-CLC-mapping, _A_02_limmavoomDE-R, _A_02a_limmavoomDEbylines-R, _A_03_NewGenome-MapMan, _A_04_GSEA-Stat, _A_05_Phenotype_analysis-Stat, _A_06_SxPv1-0_Illumina-Centrifuge, _A_07_NbAUSv1-0-InterPro, _S_P4_SxP10-newG-DE-files
Snapshots: No snapshots
P2011 model from PLM_43 version 6, optimised by Andrew Millar with SBSI PGA optimisation. A limited parameter set were free to optimise over < 10-fold range (less for RNA degradation rates), against ROBuST RNA data for clock genes in WT and mutants at 17C in LD, and period data in the same mutants in LL. The full SBSI costing is included, using costs from mid-June 2012 (note that costs returned with original optimisation in May were incorrectly reported).Originally submitted to PLaSMo on ...
Submitter: BioData SynthSys
Investigation: Millar, Andrew (ex-PlaSMo models)
Assays: At_Pokh2011v6_plasmo_ltdParams.xml - PLM_68, version 1
Snapshots: No snapshots
An exploration on gene expression data was carried out on single-cell RNAseq analyses of bronchoalveolar lavages from nine COVID-19 patients, three moderate cases, one severe case and five critical cases (GSE145826) (doi: 10.1038/s41591-020-0901-9). To these data, single-cell RNA-sequencing from one COVID-19 lung biopsy, ~10 weeks after initial infection was added to represent persistent severe COVID19 patient group (3 weeks after symptom onset) (GSE163919). For this analysis, the epithelial cell ...
Snapshots: No snapshots
Scope: The COVID-19 disease can have gastrointestinal manifestation. The virus replicates in the gut and has potential faecal-oral transmission besides airborne transmission (Lamers et al., 2020). Intestinal organoids are a proven experimental model of the human gut and can help understand the viral infection of the gut without animal models and additional biopsies. Single-cell RNA-seq techniques can distinguish the SARS-CoV-2 replicating cells and thus help to understand how cells respond to the ...
Snapshots: No snapshots
Short Name: P4_Pcitri_tr2 Description: Study of P. citri transcriptome data from SUSPHIRE and mealybug.org RNA-Seq datasets Raw Data: Principal investigator: Špela Baebler License: Creative Commons Attribution 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Investigation: _I_T31_mealybug
Assays: _A_01_assembly2-rnaSPAdes, _A_02_assembly2-IPS, _A_03_mapAs2ToGenome-STAR, _A_04_mapReadsToAs2-STAR, _A_05_As2_tr_limmaDE-R, _S_P4_Pcitri_tr2-files
Snapshots: No snapshots
The aim of the study is to test the interplay of the effects of different transcriptional regulators on gene expression during different environmental responses in B. subtilis. For a selected set of transcriptional regulators native proteins are fusion-labelled. The intensity of expression of each reporter protein is measured in the absence of several transcriptional regulators that compete for the RNA polymerase.
Submitter: Ulf Liebal
Investigation: The transition from growing to non-growing Baci...
Assays: B. subtilis Transcription Factor Competition - theoretical interpretation, B. subtilis Transcription Factor Competition - theoretical interpretation
Snapshots: No snapshots
Short Name: 03_dsRNAprod Title: Production of selected desigend dsRNAs in-vivo Description: We established the production of two selected designed dsRNAs in-vivo in bacterial cultures of E. coli TH115 (DE3), a strain that does not produce RNases and is thus suitable for production of long dsRNA Raw Data: pISA Study creation date: 2021-01-14 pISA Study creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Investigation: _I_01_LabTrials
Assays: _A_00_Ecoli-dry, _A_01_pIsol-wet, _A_02_plasmid-SangerSeq, _A_03_RNaseItreat-wet, _A_04_prod-qPCR, _S_03_dsRNAprod-files
Snapshots: No snapshots
Key enzymes of critical points in the pathways will be targeted for disruption by the generation of RNAi cell lines and lines which drive tetracycline-regulatable ectopic over expression of either wild type enzyme or, if appropriate, dominant-negative or mis-targeted mutants of these. In all cases perturbed lines will be analysed with respect to the mRNA, protein or enzymatic activities of other components of the subsystem, this being directed iteratively by the predictions from systems modelling. ...
Submitter: Federico Rojas
Investigation: Perturbing the biological system: developmental...
Assays: Generation of RNAi cell lines in T.brucei brucei 2T1 cell line, Induction of RNA interference in T.brucei brucei 2T1 cell line
Snapshots: No snapshots
Short Name: 01_TargetSelect Title: Search for genes that might be good targets for control using dsRNAs (RNAi pesticides) Description: We will examine the results of RNAi screening experiments in model organisms (e.g. Drosophila melanogaster, Tribolium castaneum) as well as employ our previous data and literature knowledge on CPB gene expression and physiology Raw Data: pISA Study creation date: 2021-01-13 pISA Study creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 ...
Submitter: Marko Petek
Investigation: _I_01_LabTrials
Assays: _A_01_LitData-dry, _A_02_UlrichTop100-BLAST, _A_03_patentDB-BLAST, _A_04_ortho-BLAST, _A_05_CPB_gene-annot, _A_06_splitter_BLAST-dry, _A_07_MergeEvi-dry, _A_08_SelTargetsA-dry, _S_01_TargetSelect-files
Snapshots: No snapshots
Short Name: P1_SPv10T2andT3 Title: Characterization of SPv1.0 plants of the T2 and T3 generations Description: Plants of the SxP v1 second and third generation were grown in the greenhouse and leaf samples were collected for analysing their metabolome (via GC-MS) and transcriptome (via RNA-seq). Phenotypic data such as plant height was also recorded. Raw Data: pISA Study creation date: 2018-11-09 pISA Study creator: ElenaMG Principal investigator: Diego Orzaez License: Creative Commons Attribution ...
Submitter: Marko Petek
Investigation: _I_T21_SXPsysbio
Assays: _A_SPv10T2Analysis-GCMS, _A_SPv10T3Analysis-GCMS, _A_SPv10_phenotyping-Images, _S_P1_SPv10T2andT3-files
Snapshots: No snapshots
Lauren Baugh, Brittany A. Goods, Juan S. Gnecco, Yunbeen Bae, Michael Retchin, Constantine N. Tzouanas, Megan Loring, Keith Isaacson, Alex K. Shalek, Douglas Lauffenburger, Linda Griffith
https://www.medrxiv.org/content/10.1101/2022.01.29.22269829v1
Endometriosis is a debilitating gynecological disorder affecting approximately 10% of the female population. Despite its prevalence, robust methods to classify and treat endometriosis remain elusive. Changes ...
Submitter: Charles Demurjian
Investigation: Endometriosis
Assays: All Metadata, DNA Extraction - Metadata, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata
Snapshots: No snapshots
Kathryn M. Yammine, Sophia Mirda Abularach, Michael Xiong, Seo-yeon Kim, Agata A. Bikovtseva, Vincent L. Butty, Richard P. Schiavoni, John F. Bateman, Shireen R. Lamandé, and Matthew D. Shoulders
A dbGaP Submission is underway and metadata will be updated at the completion of submission. The remaining of the data and metadata are available here.
DOI: 10.1101/2024.11.07.622468.
Abstract:
Objectives Mutations in the procollagen-II gene (COL2A1) ...
Submitter: Charles Demurjian
Investigation: Shoulders Lab Individual Publications
Assays: All Metadata, Cell Imaging - Data Linked, Gene Expression Analysis - Data Linked, LC - MS/MS (Proteomics) - Data Linked, Library Creation - Metadata, Proteomics Analysis - Data Linked, RNA Extraction - Metadata, Short Read Sequencing - Data Linked, iPSC Culture and Chondronoid Formation - Metadata
Snapshots: Snapshot 1
Aim: To investigate whether Atlantic cod that feed close to aquatic breeding facilities are affected by chlorpyrifos-methyl. Feeding experiment with chlorpyrifos-methyl, an organophosphorous pesticide detected in plant based salmon feed. Based on previous experiments using salmon.
Doses: 0, 0.5, 5.0, 25 mg/kg) chlorpyrifos-methyl. Duration: 30 days Set-up: Three tanks per treatment (12 in total)
Samples include: Liver, plasma, bile, brain. Analysis include:
- Have RNAseq and metabolomics from 36 ...
Submitter: Marta Eide
Investigation: 1 hidden item
Assays: Chemical analyses, EROD activity, Fish biometrics in vivo Nord, Metabolomics, Plasma parameters, Transcriptomics
Snapshots: Snapshot 1, Snapshot 2
This experiment is designed to pinpoint where in the metabolic network there are differences between salmon of different genetic families and on different diets. Analyses of this material will help inform feeding and breeding strategies.
Salmon will be reared on feeds with contrasting levels of very-long-chain polyunsaturated fatty acids. Then some fish will be crossed over to the other diet while others remain as controls. This perturbation of diet should provoke changes in omega-3 metabolism ...
Submitter: Jon Olav Vik
Investigation: Omega-3 metabolism of salmon in relation to die...
Assays: Fatty acid contents in feed using Gas chromatography/FAME analysis, Fatty acid contents in tissues using Gas chromatography/FAME analysis, Feed switch 2015-09 Solbergstranda, pilot proteomics, Feed switch 2015-09, 2016-01 Solbergstranda, gross phenotypes, Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition,..., Lipidomics, Metabolomics, Overview of RNAseq datasets in GenoSysFat, RNA sequencing Feed switch- Liver and Gut
Snapshots: Snapshot 1
Stranded RNAseq libraries were prepared from 1µg total RNA from liver tissue using TruSeq Stranded mRNA library preparation kit (Illumina, San Diego, USA) using double unique indices (#20022371), according to the manufacturer's instruction (Part 15031057 Rev.E). Libraries were sequenced at the Norwegian Sequencing Centre (NSC). All libraries were pooled, and the same pool was sequenced on 4 flow cell lanes on a HiSeq 3000 machine (Illumina), generating 100bp single-end reads. RNA sequencing files ...
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: Combined.counts, Crispr_metadata
Snapshots: No snapshots
RNAseq is utilised to validate the SnpEff annotation predictions for aberrant splicing. For this purpose the percentage exon retention for exons 4, 6 and 7 are calculated using RNAseq data.
Submitter: Sahar Hassani
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: ELOVL2 Knockout
S.pneumoniae D39 cells (wild type and delta greA) were grown in C+Y medium and cells were harvested for total RNA isolation at mid-exponential growth (OD600nm 0.3 for wt, 0.25 for delta greA). Total RNA was isolated as described before (Kloosterman et al 2006). The total RNA samples were examined by capillary electrophoresis. dephosphorylated with antarctic phosphatase followed by treatment with polynucleotide kinase (PNK). Afterwards, samples were poly(A)-tailed using poly(A) polymerase. Then a ...
Submitter: Jan-Willem Veening
Assay type: Transcriptomics
Technology type: Technology Type
Investigation: Wetlab approach to transcription fidelity
Organisms: No organisms
SOPs: No SOPs
Data files: RNA-seq delta greA, RNA-seq wild type
Snapshots: No snapshots
Submitter: Yang Jin
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Knockout omega-3 genes to perturb LC-PUFA metab...
Study: FADS Knockout
Organisms: No organisms
SOPs: No SOPs
Data files: Lipid metabolism gene list, Meta Data, Raw Count table
Snapshots: No snapshots
RNAseq data for L.ferriphilum samples
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Multi -omics reveal lifestyle of acidophile, mi...
Study: Omics_data_analysis
Organisms: No organisms
SOPs: No SOPs
Data files: LF_RNAseq_TPM_continuous, LF_RNAseq_TPM_mineral, LF_RNAseq_rawdata, LF_deseq_comparison, LF_omics_analysis, LF_omics_combined_Table
Snapshots: No snapshots
Submitter: Theresa Kouril
Assay type: RNA-seq Profiling
Technology type: Next generation sequencing
Investigation: L-fucose degradation in Sulfolobus solfataricus P2
Organisms: Sulfolobus solfataricus
SOPs: SulfoSYS_BIOTECH: RNA isolation and sequencing
Data files: Transcriptomics L-fuc vs D-glc
Snapshots: No snapshots
Data derived from RNAseq
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Reverse Engineering Directed Gene Regulatory Ne...
Study: Supplementary files
Organisms: No organisms
SOPs: No SOPs
Data files: Sample information, TPM counts
Snapshots: No snapshots
Rawdata for RNAseq derived from biofilms on chalcopyrite grains
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: SysMetEx - Dataset collection
Organisms: Acidithiobacillus caldus : Acidithiobacillus caldus ATCC 51756 (wild-type / wild-type), Leptospirillum ferriphilum : Leptospirillum ferriphilum DSM 14647 (wild-type / wild-type), Sulfobacillus thermosulfidooxidans : Sulfobacillus thermosulfidooxidans DSM_9293 (wild-type / wild-type)
SOPs: DNA, RNA, Protein extraction from mineral samples, SOP - RNA-Prot sampling for bioleaching, Sample Identification Code
Data files: Rawdata RNAseq
Snapshots: No snapshots
Link to RNAseq raw data
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: SysMetEx - Dataset collection
Study: Planktonic cells
Organisms: Acidithiobacillus caldus : Acidithiobacillus caldus ATCC 51756 (wild-type / wild-type), Leptospirillum ferriphilum : Leptospirillum ferriphilum DSM 14647 (wild-type / wild-type), Sulfobacillus thermosulfidooxidans : Sulfobacillus thermosulfidooxidans DSM_9293 (wild-type / wild-type)
SOPs: 003 Biomolecular Extractions from LAO (Qiagen A..., SOP - RNA-Prot sampling for bioleaching, Sample Identification Code
Data files: Rawdata RNAseq
Snapshots: No snapshots
RNAseq raw data derived from continuous culture samples
Submitter: Malte Herold
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: SysMetEx - Dataset collection
Study: Continuous cultures
Organisms: Acidithiobacillus caldus : Acidithiobacillus caldus ATCC 51756 (wild-type / wild-type), Leptospirillum ferriphilum : Leptospirillum ferriphilum DSM 14647 (wild-type / wild-type), Sulfobacillus thermosulfidooxidans : Sulfobacillus thermosulfidooxidans DSM_9293 (wild-type / wild-type)
SOPs: 003 Biomolecular Extractions from LAO (Qiagen A..., SOP - RNA/Protein sampling for continuous culture, Sample Identification Code
Data files: Rawdata RNAseq
Snapshots: No snapshots
Liver samples from Atlantic cod males. Total RNA isolated using TRI Reagent (Fekadu Yadetie). Sequencing performed with Illumina Stranded mRNA (sequencing poly-A mRNA) at Genomic Core Facility at UiB/Haukeland (contact person Rita Holdhus).
The data sets are submitted to the ArrayExpress repository, and will be linked here.
Submitter: Marta Eide
Assay type: Transcriptomics
Technology type: Rna-seq
Investigation: 1 hidden item
Organisms: No organisms
SOPs: No SOPs
Data files: RNA-Seq of Atlantic cod (Gadus morhua) liver tr...
Snapshots: No snapshots
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: MetNet
Organisms: No organisms
SOPs: P.KAM-240712_V1_GFP_RNAseq.docx
Data files: samples-publishGFP_CEL.xlsx, samples-publishGFP_RNA.xlsx
Snapshots: No snapshots
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Shoulders Lab Individual Publications
Organisms: No organisms
SOPs: P.SHO-250605-V1_Collagen_RNAseq.docx
Data files: samples-250609-SC-R719C-CEL.xlsx, samples-250609-SC-R719C-RNA.xlsx
Snapshots: No snapshots
Cells were seeded in 6-well plates and incubated at 37 °C and 5 % CO2 overnight. The next day, cells were washed with 1X PBS, treated with BMVs and incubated at 37 °C and 5 % CO2 for 24 h. RNA isolation was performed by using the NucleoSpin® RNA kit (MACHEREY-NAGEL, 740955.50). cDNA synthesis was performed and libraries were constructed using NEBNext Ultra II Directional RNA Library Prep Kit for Illumina at the Genome Analytics at Helmholtz Centre for Infection Research. Libraries were sequenced ...
Submitter: Meina Neumann-Schaal
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: 1 hidden item
RNA-seq data for In vivo 7 samples. Only 32 RNA samples from liver of male fish sequenced. Illumina poly(A)-RNA sequencing at UiB GCF, as in Yadetie et al., 2018.
Submitter: Fekadu Yadetie
Assay type: RNA-seq
Technology type: Next generation sequencing
Investigation: 1 hidden item
Study: 1 hidden item
Submitter: Fekadu Yadetie
Assay type: RNA-seq
Technology type: Next generation sequencing
Investigation: 1 hidden item
Organisms: Gadus morhua
SOPs: No SOPs
Data files: PCLS_BaP-EE2_RNAseq - analysis, PCLS_BaP-EE2_RNAseq - reads, RNA-seq metadata for BaP and EE2 treated PCLS s...
Snapshots: No snapshots
From the "data accessibility" section of Life-stage associated remodeling of lipid metabolism regulation in Atlantic salmon. (Publication):
Supplementary files have been deposited to datadryad.org under the accession: https://doi.org/10.5061/dryad.j4h65. Raw RNA-Seq data have been deposited into European Nucleotide Archive (ENA) under the project Accession no. PRJEB24480.
Dead links 2022-06-29 (the Shiny ...
Submitter: Graceline Tina Kirubakaran
Assay type: RNA-seq
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: Liver Slice protocol, RNASeq Template
Data files: Gene_information, Gut- CPM, Gut- Counts, Gut- FPKM, Lipid_Gene_List, Liver- CPM, Liver- Counts, Liver- FPKM, Metadata, Sample metadata
Snapshots: No snapshots
RNA timeseries data for Arabidopsis Col wild-type plants and clock mutants, as separate mean and SD files. The raw data is available on BioDare.ed.ac.uk, and is linked as 'Attribution' from elsewhere on FAIRDOMHub.
Submitter: Andrew Millar
Assay type: Q_PCR
Technology type: qRT-PCR
Investigation: Absolute units for proteins in Arabidopsis cloc...
Organisms: Arabidopsis thaliana : Col-0 wild type (wild-type / wild-type), Arabidopsis thaliana : prr7-3 prr9-1 (T-DNA insertion PRR9;T-DNA insertion PRR7 / 28h circadian rhythm), Arabidopsis thaliana, Arabidopsis thaliana
SOPs: No SOPs
Data files: Processed TiMet WP1.1a RNA data, SD, Processed TiMet WP1.1a RNA data, mean
Snapshots: No snapshots
Submitter: Jacqueline Wolf
Assay type: RNA-seq Profiling
Technology type: Rna-seq
Investigation: Amino acid degradation in Sulfolobus solfataric...
Organisms: Sulfolobus solfataricus
SOPs: SulfoSYS_BIOTECH: RNA isolation and sequencing
Data files: RNA-Seq mappings - Sulfolobus solfataricus P2 -..., RNA-Seq mappings - Sulfolobus solfataricus P2 -..., RNA-Seq raw data - Sulfolobus solfataricus P2 -..., SSO Genome reference
Snapshots: No snapshots
Submitter: Jacqueline Wolf
Assay type: Experimental Assay Type
Technology type: Rna-seq
Investigation: Phenol degradation in Saccharolobus solfataricu...
Organisms: Sulfolobus solfataricus
SOPs: No SOPs
Data files: Transcriptome analysis phenol vs glucose
Snapshots: No snapshots
Submitter: Margarida Gama-Carvalho
Provider Name: Coriell Institute
Provider's strain ID: GM03417
Organism: Homo sapiens
Genotypes: wild-type
Phenotypes: wild-type
Comment: Mosaic t(14,21) translocation
Transcriptome analysis suggests a compensatory role of the cofactors coenzyme A and NAD+ in medium-chain acyl-CoA dehydrogenase knockout mice. During fasting, mitochondrial fatty-acid β-oxidation (mFAO) is essential for the generation of glucose by the liver. Children with a loss-of-function deficiency in the mFAO enzyme medium-chain acyl-Coenzyme A dehydrogenase (MCAD) are at serious risk of life-threatening low blood glucose levels during fasting in combination with intercurrent disease. However, ...
Creators: PoLiMeR_user Martines_data, Terry G.J. Derks, Barbara Bakker, Martines AMF
Submitter: PoLiMeR_user Martines_data
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
Reference genome of Sulfolobus solfataricus P2 used for mapping of RNA-seq results. Based on NCBI genome of Sulfolobus solfataricus.
Creators: Stefan Albaum, Andreas Albersmeier (CeBiTec, University of Bielefeld), Jörn Kalinowski (CeBiTec, University of Bielefeld)
Submitter: Stefan Albaum
Investigations: Amino acid degradation in Sulfolobus solfataric...
RNA-Seq raw data: Sulfolobus solfataricus P2 grown on casaminoacids and d-glucose.
Creators: Stefan Albaum, Andreas Albersmeier (CeBiTec, University of Bielefeld), Jörn Kalinowski (CeBiTec, University of Bielefeld)
Submitter: Stefan Albaum
Investigations: Amino acid degradation in Sulfolobus solfataric...
RNA-Seq mapping results (part1): Sulfolobus solfataricus P2 grown on casaminoacids and d-glucose, mapped using bowtie2 against reference sequence of Sulfolobus solfataricus P2 (NBCI, see other data files of experiment).
Creators: Stefan Albaum, Andreas Albersmeier (CeBiTec, University of Bielefeld), Jörn Kalinowski (CeBiTec, University of Bielefeld)
Submitter: Stefan Albaum
Investigations: Amino acid degradation in Sulfolobus solfataric...
RNA-Seq mapping results (part2): Sulfolobus solfataricus P2 grown on casaminoacids and d-glucose, mapped using bowtie2 against reference sequence of Sulfolobus solfataricus P2 (NBCI, see other data files of experiment).
Creators: Stefan Albaum, Andreas Albersmeier (CeBiTec, University of Bielefeld), Jörn Kalinowski (CeBiTec, University of Bielefeld)
Submitter: Stefan Albaum
Investigations: Amino acid degradation in Sulfolobus solfataric...
Excel file summarizing:
- Name of the RNAseq study
- Orion path were the .fastq files are stored
- Year the libraries were sequenced
- short description
Creators: Fabian Grammes, Simen Sandve
Submitter: Fabian Grammes
Creators: Andreas Albersmeier, Jörn Kalinowski
Submitter: Jacqueline Wolf
Investigations: Phenol degradation in Saccharolobus solfataricu...
We performed network analysis to investigate the dysregulated biological processes in the disease progression and revealed the molecular mechanism underlying NAFLD C57BL/6J mice were fed a standard mouse chow diet and housed in a 12‐h light–dark cycle. From the age of 8 weeks, the mice were then divided into two groups of 5 mice fed with chow diet, 4 mice fed with high-sucrose diet for 3 weeks, respectively. At the age of 11 weeks, we performed a genome-wide transcriptomic analysis on tissue ...
Creators: Hong Yang, Adil Mardinoglu, Jan Boren
Submitter: Hong Yang
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
In this study, we used publically available dataset from gene expression omnibus (GEO):
The pathophysiological mechanisms that drive non-alcoholic fatty liver disease (NAFLD) progression remain poorly understood. This multicenter study characterized the transcriptional changes that occur as liver disease progresses. 216 snap frozen liver biopsies, comprising 206 NAFLD cases with different fibrosis stages and 10 controls were studied. Samples underwent high-throughput RNA sequencing. This study ...
Creator: Govaere O et.al.
Submitter: Hong Yang
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
In this study, we used publically available dataset from gene expression omnibus (GEO):
Transcriptomic analysis of liver biopsies that cover the spectrum of nonalcoholic fatty liver disease reveals genes that are progressively regulated over the course of the disease. This study demonstrates that progressive changes in expression of these genes can be used to approximate the histological grade of a liver biopsy. Furthermore, the relative progression profiles of these disease-responsive genes are ...
Creator: Hoang SA et.al.
Submitter: Hong Yang
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
A list of interesting lipid genes
CPM is a descriptive measures for the expression level of a gene.
Creator: Graceline Tina Kirubakaran
Submitters: Jon Olav Vik, Graceline Tina Kirubakaran
FPKMs or Fragments Per Kilobase of exon per Million reads . Fragment means fragment of DNA, so the two reads that comprise a paired-end read count as one. Per kilobase of exon means the counts of fragments are then normalized by dividing by the total length of all exons in the gene (or transcript). This bit of magic makes it possible to compare Gene A to Gene B even if they are of different lengths. Per million reads means this value is then normalized against the library size. This bit of magic ...
Creators: Graceline Tina Kirubakaran, Gareth Gillard, Fabian Grammes
Submitter: Graceline Tina Kirubakaran
Read counts for each sample
Creators: Graceline Tina Kirubakaran, Gareth Gillard, Fabian Grammes
Submitter: Graceline Tina Kirubakaran
Read counts for each sample
Creators: Graceline Tina Kirubakaran, Fabian Grammes, Gareth Gillard
Submitter: Graceline Tina Kirubakaran
Information on samples submitted for RNAseq
Rows are individual samples
Columns are: ID Sample Name Date sampled Species Sex Tissue Geographic location Date extracted Extracted by Nanodrop Conc. (ng/µl) 260/280 260/230 RIN Plate ID Position Index name Index Seq Qubit BR kit Conc. (ng/ul) BioAnalyzer Conc. (ng/ul) BioAnalyzer bp (region 200-1200) Submission reference Date submitted Conc. (nM) Volume provided PE/SE Number of reads Read length
Creator: Thomas Harvey
Submitter: Thomas Harvey
Creators: Graceline Tina Kirubakaran, Gareth Gillard, Fabian Grammes, Jon Olav Vik
Submitter: Graceline Tina Kirubakaran
FPKMs or Fragments Per Kilobase of exon per Million reads . Fragment means fragment of DNA, so the two reads that comprise a paired-end read count as one. Per kilobase of exon means the counts of fragments are then normalized by dividing by the total length of all exons in the gene (or transcript). This bit of magic makes it possible to compare Gene A to Gene B even if they are of different lengths. Per million reads means this value is then normalized against the library size. This bit of magic ...
Creators: Graceline Tina Kirubakaran, Fabian Grammes, Gareth Gillard
Submitter: Graceline Tina Kirubakaran
Column 1: Row numbers Column 2: Sample id (See below) Column 3: Water (Fish from salt water or fresh water) Column 4: Tissue (Liver or Gut) Column 5: Feed (MA- Marine oil, VO- Vegetable oil) Column 6: Day Column 7: Count file location
Column 2 explained: The freshwater fish have no tank numbers and saltwater fish do have tank numbers eg : 69-D0-MA-G-1 - > 69 well position (id given when sequncing), Day 0, Marine oil, Gut, Fish number 1 147-D16-VO-MA-L-6 -> 147 well position, Day 16, Vegetable ...
Creators: Graceline Tina Kirubakaran, Gareth Gillard
Submitter: Graceline Tina Kirubakaran
Creator: Fekadu Yadetie
Submitter: Fekadu Yadetie
Investigations: 1 hidden item
Creator: Niels Zondervan
Submitter: Niels Zondervan
Model type: Metabolic network
Model format: SBML
Environment: JWS Online
Organism: Not specified
Investigations: Modelling of M. pneumoniae metabolism
Model derived from U2019.1 in which the transcription rates were rescaled to match the scale of TiMet data set for absolute units of RNA concentration. The gmX scaling parameters in the model were fitted numerically. This model has equivalent dynamics to P2011.1.2.
Creators: Uriel Urquiza Garcia, Andrew Millar
Submitter: Uriel Urquiza Garcia
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Copasi
Organism: Arabidopsis thaliana
Investigations: Absolute units in Arabidopsis clock models up t...
Studies: P2011, U2019 and U2020 models and modelling res...
Assays: U2019/U2020 models
The zip file contains two executable Matlab functions.
File named 'fnct_gen_tfcompmod.m' generates a Simbiology model based on the following interactions: R + X <-> RX -> R + X + Px R + Y <-> RY -> R + Y + Py R + Z <-> RZ -> R + Z + Pz Y + Pz -> Pz Px -> Py -> Pz ->
We assume much higher reaction speeds of sigma factor RNApol binding/unbinding compared to protein expression. Protein expression can therefore be represented by Michaelis-Menten like kinetic ...
Creator: Ulf Liebal
Submitter: Ulf Liebal
Model type: Ordinary differential equations (ODE)
Model format: Matlab package
Environment: Matlab
Single nuclei transcriptomics data as .csv files from the Allen Brain atlas data set of mus musculus (https://celltypes.brain-map.org/) have been utilized as an input for scSynO. The underlying analysis is part of the manuscript entitled "Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling". Data anaylsis and visalizations were mainly generated with the Seurat R package (https://satijalab.org/seurat/archive/v3.2/spatial_vignette.html)
Creator: Markus Wolfien
Submitter: Markus Wolfien
Model type: Not specified
Model format: Not specified
Environment: Not specified
Creators: Alexey Kolodkin, Hans V. Westerhoff, Raju Prasad Sharma
Submitter: Alexey Kolodkin
Model type: Not specified
Model format: SBML
Environment: Not specified
Organism: Not specified
Investigations: ROS networks: designs, aging, Parkinson's disea...
Studies: ROS Models and Data for NPJ Systems Biology and...
Assays: Main Figure 3
The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that ...
Creators: Maksim Zakhartsev, Olga Krebs, Irina Medvedeva, Ilya Akberdin, Yuriy Orlov
Submitter: Maksim Zakhartsev
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Arabidopsis thaliana
Investigations: Metabolic analysis of effects of sucrose transl... and 1 hidden item
Studies: Analysis of central carbon and energy metabolis... and 1 hidden item
Assays: Flux Balance Analysis of multi-compartment meta... and 1 hidden item
Model derived from U2020.2, fitted to the TiMet RNA data for wild-type and clock mutants. Fixed parameters are scaling factors, COP1 and cP parameters. The rest of the parameters were left optimisable. The networks used in the fitting include WT, lhycca1, prr79, toc1, gi and ztl. The ztl network was only used for fixing the period in this mutant. Then final parameter values for transcription rates were obtained by taking the product of scaling factor and either transcription or translation, the ...
Creators: Uriel Urquiza Garcia, Andrew Millar
Submitter: Uriel Urquiza Garcia
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Copasi
Organism: Arabidopsis thaliana
Investigations: Absolute units in Arabidopsis clock models up t...
Studies: P2011, U2019 and U2020 models and modelling res...
Assays: U2019/U2020 models
This stoichiometric model of Aromatoleum aromaticum EbN1 is a genome-scale model and comprises 655 enzyme-catalyzed reactions and 731 distinct metabolites.
The model is in the plain-text reaction format of Metano that is human-readable and can be opened with every text editor. To run this version of the model, please use the Metano Modeling Toolbox (mmtb.brenda-enzymes.org) and the associated scenario files.
Creators: Julia Koblitz, Dietmar Schomburg, Meina Neumann-Schaal
Submitter: Julia Koblitz
Model type: Stoichiometric model
Model format: Not specified
Environment: Not specified
Organism: Aromatoleum aromaticum
Investigations: Systems biology investigation of aromatic compo...
Studies: Metabolic Modelling
Assays: Metabolic modeling of EbN1, Scenario files for Metano metabolic modeling
Atlantic salmon (Salmo salar) is the most valuable farmed fish globally and there is much interest in optimizing its genetics and rearing conditions for growth and feed efficiency. Marine feed ingredients must be replaced to meet global demand, with challenges for fish health and sustainability. Metabolic models can address this by connecting genomes to metabolism, which converts nutrients in the feed to energy and biomass, but such models are currently not available for major aquaculture species ...
Creators: Maksim Zakhartsev, Filip Rotnes, Marie Gulla, Ove Oyas, Jesse van Dam, Maria Suarez Diez, Fabian Grammes, Wout van Helvoirt, Jasper Koehorst, Peter Schaap, Yang Jin, Liv Torunn Mydland, Arne Gjuvsland, Sandve Simen, Vitor Martins dos Santos, Jon Olav Vik
Submitter: Jon Olav Vik
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
Model derived from U2019.1, in which the way the PRR genes are regulated is modified. Repression mechanism introduced Instead of activation between the PRRs for producing the wave of expression. This is inspired in the result of three models P2012, F2014 and F2016. P2012 introduced TOC1 repression in earlier genes relative to its expression. F2014 introduced also the backward repression of PRR9 |-- PRR7 |--- PRR5, TOC1. However little attention was given to why there is a sharper expression ...
Creators: Uriel Urquiza Garcia, Andrew Millar
Submitter: Uriel Urquiza Garcia
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Copasi
Organism: Arabidopsis thaliana
Investigations: Absolute units in Arabidopsis clock models up t...
Studies: P2011, U2019 and U2020 models and modelling res...
Assays: U2019/U2020 models
The zip file contains model files and an experiment file. Unpack it in a directory and navigate with matlab to there. Use the 'matlab_execution_guide.m' for simulation and visualisation of the model. This file is written in matlab cell mode, so it is not a stand alone function.
Three models have been developed to test their capacity to reproduce the experimental data from Study: 'Controlled sigmaB induction in shake flask' with Assay: 'IPTG induction of sigmaB in BSA115'. One model assumes a ...
Creator: Ulf Liebal
Submitter: Ulf Liebal
Model type: Ordinary differential equations (ODE)
Model format: Matlab package
Environment: Matlab
Organism: Bacillus subtilis
Investigations: The transition from growing to non-growing Baci...
Stoichiometric model in SBML format using the acetate-aerobic standard scenario.
Please note that SBML was exported using the sbmlwriter class of Metano. This file was not used for the actual analyses.
Creator: Julia Koblitz
Submitter: Julia Koblitz
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
Organism: Aromatoleum aromaticum
Investigations: Systems biology investigation of aromatic compo...
Studies: Metabolic Modelling
Assays: Metabolic modeling of EbN1
Preliminary metabolic network of S. pyogenes including primary metabolism, polysaccharide metabolism, purine and pyrimidine biosoynthesis, teichoic acid biosynthesis, fatty acid and phospholipid bioynthesis, amino acid metabolism, vitamins and cofactors. The model still needs to be validated.
Creator: Jennifer Levering
Submitter: Jennifer Levering
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Streptococcus pyogenes
Investigations: Investigation of glycolysis and pyruvate branch...
This SBML file uses the RAM extension and contains a minimal genome scaled model for Saccharomyces cerevisiae. The model is based of Yeast 6.06 and was published first in A.-M. Reimers Thesis "Understanding metabolic regulation and cellular resource allocation through optimization".
Creators: Henning Lindhorst, Alexandra-M. Reimers
Submitter: Henning Lindhorst
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
Organism: Saccharomyces cerevisiae
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
The consensus GEM for Saccharomyces cerevisiae, version 8.3.3, maintained on https://github.com/SysBioChalmers/yeast-GEM.
Creator: Eduard Kerkhoven
Submitter: Eduard Kerkhoven
Model type: Metabolic network
Model format: SBML
Environment: Matlab
Organism: Saccharomyces cerevisiae
Investigations: Systems Biology and Analysis
Studies: 1 hidden item
Assays: 1 hidden item
First version of Genome-scale metabolic model (GEM) for reconstraction of flavonoids biosynthetic pathways. This model includes as a chassis , the Pseudomonas Putida GEM (iJN1411) . It includes the metabolic reconstruction of more than 500 flavonoids and more than 500 reactions related to the flavonoid biosynthesis.
Creators: David San León Granado, Juan Nogales, Álvaro Gargantilla Becerra
Submitter: David San León Granado
Model type: Metabolic network
Model format: SBML
Environment: Matlab
Organism: Pseudomonas putida
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Genome-scale metabolic model (GEM) for Streptomyces albus, maintained on https://github.com/SysBioChalmers/Salb-GEM.
Creator: Cheewin Kittikunapong
Submitter: Cheewin Kittikunapong
Model type: Metabolic network
Model format: SBML
Environment: Matlab
Organism: Streptomyces albus
Investigations: Systems Biology and Analysis
Studies: 1 hidden item
Assays: 1 hidden item
A reconstruction of the cellular metabolism of the opportunistic human pathogen Enterococcus faecalis V583 represented as stoichiometric model and analysed using constraint-based modelling approaches
Creators: Nadine Veith, Margrete Solheim, Koen van Grinsven, Jennifer Levering, Jeroen Hugenholtz, Helge Holo, Ingolf Nes, Bas Teusink, Ursula Kummer, Brett G Olivier, Ruth Grosseholz
Submitter: Nadine Veith
Model type: Linear equations
Model format: SBML
Environment: Not specified
Organism: Enterococcus faecalis
Investigations: Investigation of glycolysis and pyruvate branch...
The new GEM of S. coelicolor developed by Tjasa Kumelj, Snorre Sulheim, Alexander Wentzel and Eivind Almaas in 2017/2018
Creators: Snorre Sulheim, Tjasa Kumelj
Submitter: Snorre Sulheim
Model type: Stoichiometric model
Model format: SBML
Environment: Not specified
Organism: Streptomyces coelicolor
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
First version of enzyme-constrained model (ecModel) for Streptomyces albus J1074
Creator: Cheewin Kittikunapong
Submitter: Cheewin Kittikunapong
Model type: Stoichiometric model
Model format: SBML
Environment: Matlab
Organism: Streptomyces albus
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creators: Theresa Kouril, Andreas Albersmeier, CeBiTech, University Bielefeld, Germany; Jörn Kalinowski, CeBiTech, University Bielefeld;
Submitter: Theresa Kouril
Investigations: Amino acid degradation in Sulfolobus solfataric..., L-fucose degradation in Sulfolobus solfataricus P2
Studies: Comparison of S. solfataricus grown on l-fucose..., Comparison of Sulfolobus solfataricus P2 grown ...
Assays: RNA sequencing: Casaminoacids vs D-glc, RNA sequencing:l-fuc/d-glu
Standard Operating Procedure (SOP) for integration of MESI-STRAT sequence data stored in MESI-SEEK into ENA
Creator: Olga Krebs
Submitter: Olga Krebs
Investigations: MESI-STRAT data for submission into public re...
Studies: Sequence data for European Nucleotide Archive (...
Assays: Instructions for ENA submission and 1 hidden item
Use this template when you upload RNA sequencing data. Email : 31 May 2016 More columns need to be added PE/SE etc?
Creators: Graceline Tina Kirubakaran, Jon Olav Vik, Thomas Harvey, Sandve Simen, Hanne Hellerud Hansen
Submitter: Graceline Tina Kirubakaran
Investigations: Omega-3 metabolism of salmon in relation to die... and 2 hidden items
Studies: GSF1: Salmon feed-switch experiment vegetable a... and 7 hidden items
Assays: RNA sequencing Feed switch- Liver and Gut and 8 hidden items
The procedure describes the preparation of fluorescent DNA probes from human mRNA or total RNA.
Creator: Olga Krebs
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creators: Louise Thomas, Maggie Smith
Submitter: Jay Moore
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Creator: Susana Domingues
Submitter: Susana Domingues
Investigations: 1 hidden item
Studies: 1 hidden item
Assays: 1 hidden item
This protocol describes the analysis of RNA-Seq data to identify differential expressed genes between two samples. The protocol is simply the analysis of the data and do not include the sequencing protocol.
Creator: Vânia Pobre
Submitter: Vânia Pobre
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
A method to compare kdpFABC expression between MG1655 (wildtype) and MG1655 (kdpA4) after a shift to K+ limitation, the RNA was extracted from samples taken at different points in time.
Creator: Lisbeth Lyngberg
Submitter: Lisbeth Lyngberg
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Isolation of total RNA from Bacillus Subtilis using phenol-chloroform extraction method by maintaining cryogenec conditions initailly to prevent RNA degradation. Quality of the obtained RNA is then tested with Agilent Bioanalyser before proceeding for gene expression analysis.
Creator: Praveen kumar Sappa
Submitter: Praveen kumar Sappa
Creator: Holger Janssen
Submitter: The JERM Harvester
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
sampling procedure for mineral containing leaching experiments
Creator: Stephan Christel
Submitter: Stephan Christel
Investigations: SysMetEx - Dataset collection
Studies: Biofilms on chalcopyrite grains, Planktonic cells
Assays: Proteomics rawdata, Proteomics rawdata, RNAseq rawdata, RNAseq rawdata
Standard Operating Procedure describes the labeling of eukaryotic RNA with aminoallyl labeled nucleotides via first strand cDNA synthesis followed by a coupling of the aminoallyl groups to either Cyanine 3 or 5 (Cy 3/Cy5) fluorescent molecules (published by The Institute For Genomic Research
Creators: Olga Krebs, Jeremy Hasseman , Emily Chen, Ivana Yang
Submitter: Olga Krebs
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This SOP describes the preparation of E. coli RNA
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Transcriptional profiling of E. coli during ana..., Transcriptional profiling of steady states at d...
Creator: Federico Rojas
Submitter: Federico Rojas
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
steps conducted to pellet cells for RNA and protein extraction
Creator: Stephan Christel
Submitter: Stephan Christel
Investigations: Multi -omics reveal lifestyle of acidophile, mi..., SysMetEx - Dataset collection
Studies: Continuous cultures, Omics_data_analysis
Assays: Experimental methods, Proteomics rawdata, RNAseq rawdata
This file contains the detailed experimental protocol to isolate nuclei from murine hearts.
Creators: Markus Wolfien, Anne-Marie Galow
Submitter: Markus Wolfien
Investigations: 1 hidden item
Studies: Single nuclei characterisation of adult mammali..., integrative cluster analysis - proliferative ca...
Assays: Single nuclei RNA-Seq analysis of Fzt:DU mice, integrative cluster analysis of single cell and...
The fluorescent DNA-binding dye used in qRT-PCR binds to all kinds of double stranded DNA. To prevent false-positive results, the RNA is treated with DNase to remove remaining DNA.
Creator: Lisbeth Lyngberg
Submitter: Lisbeth Lyngberg
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
SOP for extracting DNA, RNA and Proteins from the mineral pellet of a bioleaching culture using hot acidic phenol. Current draft.
Creators: Malte Herold, Mario Vera, Soeren Bellenberg
Submitter: Malte Herold
Investigations: SysMetEx - Dataset collection
Studies: Biofilms on chalcopyrite grains
Assays: Proteomics rawdata, RNAseq rawdata
Cells were harvested from culture keeping the cells cold to quench the physiological condition of RNA and the cells were mechanically disrupted. RNA was isolated from the cells by conventional acid-phenol method and the quality was checked by Agilent bioanalyser.
Creator: Praveen kumar Sappa
Submitter: Praveen kumar Sappa
Investigations: Identification of targets of the essential RNas..., Multiomics study of Bacillus subtilis under osm..., The transition from growing to non-growing Baci...
Studies: B. subtilis_SysMo2_Chemostat_growthrate-salt, Batchfermentation exp-starv01_090204, Identification of targets of the essential RNas...
Assays: Gene expression(Transcriptome), Transcriptome data for chemostat cultivated sam..., Transcritome data_Identification of targets of ...
This protocol describes the transcriptional profiling of E. coli cultures using microarrays. The protocol utilises RNA isolated as described in another SOP (SUMO RNA isolation from E. coli) and with hybridisation to Ocimum Ocichip E. coli K-12 microarrays.
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Investigations: Dynamical studies for different oxygen availabi..., Steady state studies for different oxygen avail...
Studies: The Escherichia coli dynamical response to oxyg..., The Escherichia coli steady state response to o...
Assays: Transcriptional profiling of E. coli during ana..., Transcriptional profiling of steady states at d...
Abstract (Expand)
Authors: M. Poenisch, P. Metz, H. Blankenburg, A. Ruggieri, J. Y. Lee, D. Rupp, I. Rebhan, K. Diederich, L. Kaderali, F. S. Domingues, M. Albrecht, V. Lohmann, H. Erfle, R. Bartenschlager
Date Published: 8th Jan 2015
Publication Type: Not specified
PubMed ID: 25569684
Citation: PLoS Pathog. 2015 Jan 8;11(1):e1004573. doi: 10.1371/journal.ppat.1004573. eCollection 2015 Jan.
Abstract (Expand)
Authors: Lavanya M Iyer, Sankari Nagarajan, Monique Woelfer, Eric Schoger, Sara Khadjeh, Maria Patapia Zafiriou, Vijayalakshmi Kari, Jonas Herting, Sze Ting Pang, Tobias Weber, Franziska S Rathjens, Thomas H Fischer, Karl Toischer, Gerd Hasenfuss, Claudia Noack, Steven A Johnsen, Laura C Zelarayán
Date Published: 6th Apr 2018
Publication Type: Not specified
DOI: 10.1093/nar/gky049
Citation: A context-specific cardiac β-catenin and GATA4 interaction influences TCF7L2 occupancy and remodels chromatin driving disease progression in the adult heart 46(6) : 2850
Abstract (Expand)
Authors: Anne-Claire M. F. Martines, Albert Gerding, Sarah Stolle, Marcel A. Vieira-Lara, Justina C. Wolters, Angelika Jurdzinski, Laura Bongiovanni, Alain de Bruin, Pieter van der Vlies, Gerben van der Vries, Vincent W. Bloks, Terry G. J. Derks, Dirk-Jan Reijngoud, Barbara M. Bakker
Date Published: 1st Dec 2019
Publication Type: Journal
DOI: 10.1038/s41598-019-50758-0
Citation: Sci Rep 9(1)
Abstract (Expand)
Authors: G. Gillard, T. N. Harvey, A. Gjuvsland, Y. Jin, M. Thomassen, S. Lien, M. Leaver, J. S. Torgersen, T. R. Hvidsten, J. O. Vik, S. R. Sandve
Date Published: No date defined
Publication Type: Not specified
PubMed ID: 29431879
Citation: Mol Ecol. 2018 Feb 12. doi: 10.1111/mec.14533.
Abstract (Expand)
Authors: F. Yadetie, X. Zhang, E. M. Hanna, L. Aranguren-Abadia, M. Eide, N. Blaser, M. Brun, I. Jonassen, A. Goksoyr, O. A. Karlsen
Date Published: 22nd Jun 2018
Publication Type: Not specified
PubMed ID: 29929084
Citation: Aquat Toxicol. 2018 Aug;201:174-186. doi: 10.1016/j.aquatox.2018.06.003. Epub 2018 Jun 7.
Abstract (Expand)
Authors: S. Reiss, I. Rebhan, P. Backes, I. Romero-Brey, H. Erfle, P. Matula, L. Kaderali, M. Poenisch, H. Blankenburg, M. S. Hiet, T. Longerich, S. Diehl, F. Ramirez, T. Balla, K. Rohr, A. Kaul, S. Buhler, R. Pepperkok, T. Lengauer, M. Albrecht, R. Eils, P. Schirmacher, V. Lohmann, R. Bartenschlager
Date Published: 18th Jan 2011
Publication Type: Not specified
PubMed ID: 21238945
Citation: Cell Host Microbe. 2011 Jan 20;9(1):32-45. doi: 10.1016/j.chom.2010.12.002.
Abstract (Expand)
Authors: A. Brazma, P. Hingamp, J. Quackenbush, G. Sherlock, P. Spellman, C. Stoeckert, J. Aach, W. Ansorge, C. A. Ball, H. C. Causton, T. Gaasterland, P. Glenisson, F. C. Holstege, I. F. Kim, V. Markowitz, J. C. Matese, H. Parkinson, A. Robinson, U. Sarkans, S. Schulze-Kremer, J. Stewart, R. Taylor, J. Vilo, M. Vingron
Date Published: 1st Dec 2001
Publication Type: Not specified
PubMed ID: 11726920
Citation: Nat Genet. 2001 Dec;29(4):365-71.
Abstract (Expand)
Authors: , M. Ryten, D. Droll, , V. Farber, , C. Merce, , ,
Date Published: 26th Aug 2014
Publication Type: Not specified
PubMed ID: 25145465
Citation:
Abstract (Expand)
Authors: J. Wolf, H. Stark, K. Fafenrot, A. Albersmeier, T. K. Pham, K. B. Muller, B. Meyer, L. Hoffmann, L. Shen, S. P. Albaum, T. Kouril, K. Schmidt-Hohagen, M. Neumann-Schaal, C. Brasen, J. Kalinowski, P. C. Wright, S. V. Albers, D. Schomburg, B. Siebers
Date Published: 10th Sep 2016
Publication Type: Not specified
PubMed ID: 27611014
Citation: Mol Microbiol. 2016 Sep 9. doi: 10.1111/mmi.13498.
Abstract (Expand)
Authors: Meredith Hill, Dayna Mason, Tânia Monteiro Marques, Margarida Gama Carvalho, Nham Tran
Date Published: 1st Oct 2019
Publication Type: Not specified
DOI: 10.1016/j.mex.2019.10.011
Citation: MethodsX
Abstract (Expand)
Authors: D. Mason, X. Zhang, T. M. Marques, B. Rose, S. Khoury, M. Hill, F. Deutsch, J. G. Lyons, M. Gama-Carvalho, N. Tran
Date Published: 24th Jun 2018
Publication Type: Not specified
PubMed ID: 29935424
Citation: Virology. 2018 Aug;521:149-157. doi: 10.1016/j.virol.2018.05.022. Epub 2018 Jun 20.
Abstract (Expand)
Authors: Marina L. Garcia-Vaquero, Margarida Gama-Carvalho, Javier De Las Rivas, Francisco R. Pinto
Date Published: 1st Dec 2018
Publication Type: Not specified
DOI: 10.1038/s41598-018-29990-7
Citation: Sci Rep 8(1) : 275
Abstract (Expand)
Authors: A. J. Amaral, J. Andrade, R. B. Foxall, P. Matoso, A. M. Matos, R. S. Soares, C. Rocha, C. G. Ramos, R. Tendeiro, A. Serra-Caetano, J. A. Guerra-Assuncao, M. Santa-Marta, J. Goncalves, M. Gama-Carvalho, A. E. Sousa
Date Published: 1st Feb 2017
Publication Type: Not specified
PubMed ID: 27993935
Citation: EMBO J. 2017 Feb 1;36(3):346-360. doi: 10.15252/embj.201694335. Epub 2016 Dec 19.
Abstract (Expand)
Authors: M. Gama-Carvalho, M. L Garcia-Vaquero, F. R Pinto, F. Besse, J. Weis, A. Voigt, J. B. Schulz, J. De Las Rivas
Date Published: 6th Jan 2017
Publication Type: Not specified
PubMed ID: 28054357
Citation: J Neurochem. 2017 Apr;141(1):12-30. doi: 10.1111/jnc.13945. Epub 2017 Feb 28.
Abstract (Expand)
Date Published: 26th Sep 2011
Publication Type: Not specified
PubMed ID: 21947264
Citation:
Abstract (Expand)
Date Published: 1st Jun 2010
Publication Type: Not specified
PubMed ID: 20534498
Citation:
Abstract (Expand)
Authors: Martin Lehnik-Habrink, Marc Schaffer, , Christine Diethmaier, Christina Herzberg,
Date Published: 4th Aug 2011
Publication Type: Not specified
PubMed ID: 21815947
Citation:
Abstract (Expand)
Authors: Eveline Kindler, Volker Thiel
Date Published: 1st Aug 2014
Publication Type: Journal
DOI: 10.1016/j.mib.2014.05.005
Citation: Current Opinion in Microbiology 20:69-75
Abstract (Expand)
Authors: Martin Lehnik-Habrink, , Fabian M Rothe, Alexandra S Solovyova, Cecilia Rodrigues, Christina Herzberg, Fabian M Commichau, ,
Date Published: 29th Jul 2011
Publication Type: Not specified
PubMed ID: 21803996
Citation:
Abstract (Expand)
Authors: Martin Lehnik-Habrink, , ,
Date Published: 8th May 2012
Publication Type: Not specified
PubMed ID: 22568516
Citation:
The samples that were subsequently harvested for RNA extraction in Takato's summer study; pictures from Young Hun and Akane
Creators: Andrew Millar, Young Hun Song, Akane Kubota
Submitter: Andrew Millar
The openbis tutorial covering all tasks and instructions.
Creators: Carsten Fortmann-Grote, Caterina Barillari (ETH Zuerich SIS)
Submitter: Carsten Fortmann-Grote
This presentation accompagnies the openbis hands-on tutorial.
Creator: Caterina Barillari (ETH Zuerich SIS)
Submitter: Carsten Fortmann-Grote
Poster presented during the ICSB 2011 conference in Mannheim
Creators: Abeer Fadda, Christine Clayton
Submitter: Abeer Fadda
Olga's presentation at SySMO PALs meeting 29 – 30 November 2012, Heidelberg
Creators: Olga Krebs, PALs
Submitter: Olga Krebs
Presentation at the SysMO-LAB2 meeting in Copenhagen November 2012. Group from Nofima/Norwegian University of Life Sciences, Ås, Norway. Work on four strains of Lactobacillus plantarum, omics-analyses, diversity.
Creators: Anette McLeod, Lars Axelsson
Submitter: Anette McLeod
Introductory lecture Biology & Epidemiology
Creators: Hans V. Westerhoff, Stefania Astrologo
Submitter: Hans V. Westerhoff
The paper by Tyson for the Hands-on Model Management in SEEK. Please refer to the related task sheet: https://fairdomhub.org/presentations/251
Creators: Ron Henkel, Dagmar Waltemath
Submitter: Ron Henkel
The talk shows that proline biosynthesis and accumulation is connected to glycine betaine availability. Glycine betaine complements proline function.
Creator: Tamara Hoffmann
Submitter: Ulf Liebal
Talk given by Olga Krebs at SysMO PALs meeting on 18 - 20 September 2013 in Paris
Creator: Olga Krebs
Submitter: Olga Krebs
Introduction to RightField and Demo were presented at the Virtual Liver Network PALs meeting on 31st of October in Hünfeld, Germany
Creators: Olga Krebs, Stuart Owen, Katy Wolstencroft
Submitter: Olga Krebs
_p_SUSPHIRE/_I_T21_SXPsysbio/_S_P4_SxP10-oldG-DE/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_01_LabTrials/_S_04_Stages/_A_03_stages-RNAisol/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T21_SXPsysbio/_S_P4_SxP10-oldG-DE/_A_01_RNA1-RNAisol/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_01_LabTrials/_S_01_TargetSelect/_A_01_LitData-dry/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T31_mealybug/_S_P4_Pcitri_tr1/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T21_SXPsysbio/_S_P4_SxP10-oldG-DE/_A_01_RNA1-RNAisol/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_01_RNA-Seq_dsEGFP-NGS/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_01_RNA-Seq_dsEGFP-NGS/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_03_Omics/_S_01_ns-dsRNA_trans/_A_02_CLC-RNASeq/
Creator: Marko Petek
Submitter: Marko Petek
_p_RNAinVAL/_I_01_LabTrials/_S_03_dsRNAprod/_A_00_Ecoli-dry/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T31_mealybug/_S_P4_Pcitri_genome/_A_01_RNAseq-CLC/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T31_mealybug/_S_P4_Pcitri_genome/_A_01_RNAseq-CLC/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T31_mealybug/_S_P4_Pcitri_genome/_A_01_RNAseq-CLC/
Creator: Marko Petek
Submitter: Marko Petek
_p_SUSPHIRE/_I_T31_mealybug/_S_P4_Pcitri_genome/_A_01_RNAseq-CLC/
Creator: Marko Petek
Submitter: Marko Petek
MESI-STRAT data collection for public repository ENA
Maintainers: Olga Krebs, Sofya Marchenko, Leon Regin, Pamela Riemer, Mirja Tamara Prentzell
Number of items: 0
Tags: Sequence, RNA, human cell culture, Cancer, drug
UID (Text) *, Name (Text) , File_PrimaryData (Text) , File_SecondaryData (Text) , Link_PrimaryData (URI) , Link_SecondaryData (Text) , Accession (Text) , Repository (Text) , RepositoryID (Text) , LibraryStrategy (Text) , LibrarySource (Text) , LibrarySelection (Text) , LibraryDesign (Text) , Parent (Registered Sample - DNA CEL - GRI) , DataType (Text) , SequencingType (Text) , Sequencer (Text) , Checksum_PrimaryData (Text) , Checksum_PrimaryType (Text) , Checksum_SecondaryData (Text) , Checksum_SecondaryType (Text) , Protocol (URI)
Not specified
UID (Text) *, Name (Text) , File_PrimaryData (Text) , Scientist (Text) , SampleCreationDate (Text) , Protocol (Web link) , Link_PrimaryData (URI) , Parent (Registered Sample - DNA -TIS-CD8) , DataType (Text) , SequencingType (Text) , Sequencer (Text) , F_bp (Text) , R_bp (Text) , NumReads (Text) , LibraryStrategy (Text) , LibrarySource (Text) , LibrarySelection (Text) , ExtractedMolecule (Text) , Checksum_PrimaryData (Text) , File_SecondaryData (Text) , LibraryDesign (Text) , Accession (Text) , Repository (Text) , Checksum_SecondaryData (Text) , Link_SecondaryData (Web link) , Checksum_Type (Text)
Not specified
UID (Text) *, Name (Text) , Parent (Registered Sample - MUS - NIV) , Scientist (Text) , Protocol (URI) , Organ (Text) , OrganDetail (Text) , StorageType (Text) , Notes (Text)
Not specified
UID (Text) *, Name (Text) , File_PrimaryData (Text) , Scientist (Text) , SampleCreationDate (Text) , Protocol (URI) , Link_PrimaryData (URI) , Parent (Text) , DataType (Text) , SequencingType (Text) , Sequencer (Text) , F_bp (Text) , R_bp (Text) , NumReads (Text) , LibraryStrategy (Text) , LibrarySource (Text) , LibrarySelection (Text) , ExtractedMolecule (Text) , Checksum_PrimaryData (Text) , File_SecondaryData (Text) , Link_SecondaryData (URI) , LibraryDesign (Text) , Accession (Text) , Repository (Text) , Checksum_PrimaryType (Text)
Not specified
UID (Text) *, Name (Text) , File_PrimaryData (Text) , File_SecondaryData (Text) , Link_PrimaryData (URI) , Link_SecondaryData (URI) , Accession (Text) , Repository (Text) , RepositoryID (Text) , LibraryStrategy (Text) , LibrarySource (Text) , LibrarySelection (Text) , LibraryDesign (Text) , Parent (Registered Sample - DNA TIS - GRI) , DataType (Text) , SequencingType (Text) , Sequencer (Text) , Checksum_PrimaryData (Text) , Checksum_PrimaryType (Text) , Checksum_SecondaryData (Text) , Checksum_SecondaryType (Text) , Protocol (URI)
Not specified
UID (Text) *, Name (Text) , Scientist (Text) , Protocol (URI) , Parent (Registered Sample - PAV - GRI) , Type (Text) , Organ (Text) , Notes (Text)
Not specified
Sample ID (String) *, Sample name (String) , Date sampled (Date) , Treatment (String) , Fish# (sampling) (Integer) , Fish# (RNA-seq) (Integer) , Body wt in (g) (Integer) , Liver wt in (g) (Integer) , Sex (String) , Species (String) , Tissue (String)
Not specified