This is the SimileXML for the Salazar model linked to the T6P/TPS pathway (Wahl et al. Science 2013). The Simile version of this model and the parameter file are also attached here. Time series data of T6P and FT mRNA for Col wild type and tps1 mutant from Fig. 1 in Wahl et al were used to re-optimise Bco, KCO, kT6P and vT6P (which replaces VCO). Note: This set of parameter values has only been optimised and tested for a 16:8 light:dark cycle, and the initial values in the Simile model are for ...

This is the SimileXML for the Salazar2009_FloweringPhotoperiod model in PlaSMo. It corresponds to Model 3 in the publication of Salazar et al 2009. The Simile version of this model is also attached here. Instructions to run the Photoperiodism Model in Simile 1.       Save all the files into the same folder. 2.       Copy and paste the attached ‘lightfunction.pl’ file in the following folder:            Program File > Simile6.0 (or other software version)> Functions 3.       Download the ...

The model shows how the CONSTANS gene and protein in Arabidopsis thaliana forms a day-length sensor. It corresponds to Model 3 in the publication of Salazar et al. 2009. Matlab versions of all the models in the paper are attached to this record as a ZIP archive, as are all the data waveforms curated from the literature to constrain the model. Further information may be available via links from the authors web site (www.amillar.org). Simulation notes for SBML version of Model3 from Salazar et al., ...

The model shows how the CONSTANS gene and protein in Arabidopsis thaliana forms a day-length sensor. It corresponds to Model 3 in the publication of Salazar et al. 2009. Matlab versions of all the models in the paper are attached to this record as a ZIP archive, as are all the data waveforms curated from the literature to constrain the model. Further information may be available via links from the authors web site (www.amillar.org). Simulation notes for SBML version of Model3 from Salazar et al., ...

The three different CRISPR target sites within the elovl2 gene (T1-3) were characterised by Sanger sequencing, sequencing on average 8 clones per individual.

Sawa et al. (2007); CO; 16L:8D; WT, gi

Description

Purpose

Precise timing of CONSTANS (CO) gene expression is necessary for day-length discrimination for photoperiodic flowering. The FLAVIN-BINDING, KELCH REPEAT, F-BOX 1 (FKF1), and GIGANTEA (GI) proteins regulate CO transcription in Arabidopsis. We demonstrate ...

Application of the LoRAS oversampling approach on single-cell/single-nuclei data to annotate/identify specific cell populations in new data based on previously, manually curated data.

All files for metabolic modeling using the Metano toolbox, including the scenarios and flux balance analyses.

For scRNA-Seq, iSABs were dissociated using the Primary Cardiomyocyte Isolation Kit (Thermo Fisher Scientific) before library preparation was performed using the 10xGenomics system with subsequent sequencing on the HighSeq4000 (Illumina). The mouse-SAN scRNA-Seq protocol is described in Goodyer et al. Preprocessing of raw sequencing data from iSABs relied on tools of the Cell Ranger Software (v.6.1.0) as was the procedure in Goodyer et al. Downstream analyses were conducted similar for both ...

SDtoLD 260410

Description

pTOC plate 0683 pCAB plate0684 LHY plate 0685 control plate 0686 TOC plate0687 pLHY plate 0688

Purpose

Re-entrainment dynamics during the transition between light:dark cycles with different photoperiods, comparing Arabidopsis thaliana and Ostreococcus tauri. This expt in O. tauri ...

The reporter fusion constructs expressing clock proteins fused to NanoLUC or firefly FLUC were transformed into the cognate, clock-mutant host plants. Each host also contained a transcriptional FLUC fusion that was used to score the circadian period of each transgenic line in constant light. Transformants that expressed a functionally normal level of clock protein were selected by choosing lines that complemented the mutant's period defect back close to the wild type period. Note that the reporters ...

Specific activity of Gre2p measured by following the change in absorbance of NADPH at 340 nm for the conversion of nitrononane-2,8-dione (NDK) using different enzyme concentrations.

effects of 1% increase in each parameter, more detailed analysis of water content

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

Short read sequencing is a high-throughput next-generation sequencing (NGS) approach used to determine the nucleotide sequence of DNA or RNA fragments, enabling detection of genetic variants, gene expression profiles, or genomic features depending on the library preparation strategy employed. This assay involves fragmentation of input nucleic acids, adapter ligation, and amplification prior to sequencing on short-read platforms (such as Illumina), generating millions of short sequence reads ...

The soluble protein fraction was subjected to shotgun proteomics (i..e. in-solution digest) applying nanoLC ESI-Iontrap MS/MS and only detections in at least two replicates per condition and bacterium were considered for subsequent analyses. Correspondingly peptide count data was compiled per condition and strain studied.

Comparison of simulated wild-type and prr7prr9 double mutant under 12L:12D cycles. Simulation with CVODE simulator via SBSI v1.5 framework.

Model simulation of cortisone or 11KA4 metabolism in human subcutaneous and omental adipose tissue, and the effect of AZD4017 inhibition of HSD11B1.

This is the simulation part of the Simulation Foundry, Version 1.5.

Download and unpack the zip file and the .sh bash script. Copy them into a folder which has a meaningful name. Launch the bash script, following the instructions in the manual.

Make sure you followed the instructions in "Preparation" before running this.

Scripts for running network simulations

Single cell clustering is a computational analysis assay that groups individual cells into distinct clusters based on transcriptomic or multi-omic feature similarity, enabling the identification and characterization of cell populations within heterogeneous samples. This data-linked implementation integrates clustering outputs with associated metadata and upstream single-cell sequencing data (such as scRNA-seq), applying algorithms such as k-means, graph-based (e.g., Louvain/Leiden), or hierarchical ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

Peaklist files (.mgf) and mascot search files are provided per analysis. Each sample replicate was separated by gel electrophoresis and subdivided into 8 gel-slices. These were subjected to in-gel digest and LC ESI-iontrap MS/MS analyses.

Peaklist files (.mgf) and mascot search files are provided per analysis. Each sample replicate was separated by gel electrophoresis and subdivided into 8 gel-slices. These were subjected to in-gel digest and LC ESI-iontrap MS/MS analyses.

Song et al. (2012); WT, fkf1, COox, COox;fkf1 and COoxCDF1ox in SD and LD at 22oC.

Description

Literature data from: 'FKF1 conveys timing information for CONSTANS stabilization in photoperiodic flowering' by: Song, Y.H..

CDF1 and FKF1 have previously been shown to regulate CO mRNA. This data highlights that they ...

Song et al. (2012); WT, fkf1, COox, COox;fkf1 and COoxCDF1ox in SD and LD at 22oC.

Description

Literature data from: 'FKF1 conveys timing information for CONSTANS stabilization in photoperiodic flowering' by: Song, Y.H..

CDF1 and FKF1 have previously been shown to regulate CO mRNA. This data highlights that they ...

Detailed model of starch metabolism from Sorokina et al. BMC Sys Bio 2011. First upload is a draft.

Related Publications
Sorokina et al (2011). BMicroarray data can predict diurnal changes of starch content in the picoalga Ostreococcus.. BMC Systems Biology. Retrieved from: http://www.ncbi.nlm.nih.gov/pubmed/21352558

Originally submitted to PLaSMo on 2011-08-12 15:34:00

Specific activity of Gre2p measured by following the change in absorbance of NADPH at 340 nm for the conversion of nitrononane-2,8-dione (NDK).

The membrane potential of cells grown overnight in a certain concentration of KCl will be determined, to reveal a relation between external KCl and a possibly stable membrane potential. See also "2D-Gel Electrophoresis " Assay for further details.

The pH of cells grown overnight in a certain concentration of KCl will be determined, to reveal a functional relationship between external KCl and a stable pH. See also "2D-Gel Electrophoresis" Assay for further details.

The potassium content of cells grown overnight in a certain amount (0.1, 0.2, 0.5, 1, 5, 20, 50, 200 mM) of KCl will be determined. Additionally the potassium content of cells grown overnight in high potassium and shifted to the amounts of potassium used in the former experiment. After growing overnight again in the lower potassium, the cells should contain finally a comparable potassium concentration than the cells grown in the respecting KCl in the first experiment.

The volume of cells grown overnight in a certain concentration of KCl will be determined, to reveal a relation between the osmotic effects of external KCl and the cell volume. See also 1.4.1. for further details.

Dear SEEK users, this Assay is just an example Excel sheet for intracellular metabolites concentration measurements performed using cell culture growing in chemostat

The statistical analysis was performed in a jupyter notebook. This notebook contains the commands for all performed analyses (Statistical_analysis_of_FAIR_citations.ipynb)

The Bayesian Estimation Superseeds the t Test (BEST) method of Kruschke 2013 was used for the Bayesian significance testing. The method was implemented in a python class together with visualization and distributional analysis methods (BEST_method_python_Kruschke2012.py). Also the bayesian multiple comparison analysis can be ...

Steady state concentrations of extracellular metabolites in yeast Saccharomyces cerevisiae in anaerobic chemostat at D = 0.1 h-1 on minimal medium