A healthy lifestyle is the basis for adequate management in cardiovascular and other chronic conditions. The BENEFIT program aims to provide long-term support to patients with cardiovascular disease (CVD) in their own home with a healthy lifestyle.The FAIR Data approach in BENEFIT standardises and structures the data collected in the project, for better use and reuse. This metadata record describes the data available and provides a contact point for researchers who would like to apply to use the ...

Ionizing radiation (IR) leads to DNA double-strand breaks and can therefore be used as cancer treatment. However, some tumors are less responsive to radiation treatment because of their underlying molecular profile. Our ultimate goal is to understand the reaction of lung cancer cells with different phenotypes to IR on a molecular level to then provide the best therapy options for lung cancer patients with IR therapy.

OLCIR is funded by the Federal Ministry for Education and Research (BMBF, ...

About

This project houses all the publicly available datasets generated by the Hi-IMPAcTB consortium over the course of its 7+ years.

What is Hi-IMPAcTB?

Hi-IMPAcTB is an ambitious endeavor bringing together a team of international, interdisciplinary researchers to improve our understanding of host-pathogen interactions in the context of tuberculosis (TB). Funded by a multi-center contract from the NIH, the long-term goal of the consortium is to enable principled vaccine design by improving ...

Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!

At our users meeting you can:

• Learn why data and model management is ...

nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show ...

MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification. Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast ...

PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.

Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease ...

The project is aimed at integrated analysis of multi-omics TCGA data. We are going to use multiSOM approach.

Project Overview

Databases of biomedical knowledge are rapidly proliferating and growing, with recent advances (such as the RTX-KG2 knowledge-base that we have recently developed; (Wood et al. 2022)) increasingly focusing on integration of knowledge under a standardized schema and semantic layer (i.e., controlled vocabularies for types of concepts and types of relationships, for example, the Biolink standard (Unni et al. 2022)). The rise of standardized knowledge-bases sets the stage for the ...

This project bundles information about COVID-19 related studies and tools in Germany. It intends to provide an information hub for the different initiatives, their aims, their processes, standards and study protocols, as well as their available data and metadata. It is initiated by the German National Research Data Infrastructure for Personal Health Data (nfdi4health), a consortium that plans to establish a concept for a federated research data infrastructure for personal health data in Germany. ...

Up-regulation of glycolytic flux (glucose to lactate conversion), also known as the “Warburg effect”, has been associated with 90% of cancers. We implemented a systems biology approach in order to improve the overall understanding of the “Warburg effect” as well as identifying drug targets within the glycolytic pathway.

Developing a placenta on a chip

The project "INtegrative COllaborative modeling in systems MEdicine" aims at connecting different heterogenous datasets and individual models within systems medicine.

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

Data digitized from publication.

Hetzler1990 Description

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Magnusson2008 Description

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Perera2011 Description

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Tanaka2014 Description

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Blanchard1983a Description

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Kaplan1997 Description

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Amchin1999 Description

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Haller2002 Description

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Kakuda2014 Description

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Akinyinka2000 Description

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Healy1991 Description

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Oh2012 Description

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Jeppesen1996 Description

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Spigset1999a Description

Validation of model's ability to predict oxygen consumption flux as measured usign permeabilised cells in an Oroboros Oxygraph. Generates Fig. 2A in the associated publication.

Download "Model_notebooks.rar", unzip, and run: "2, generate-model-Oroboros-validation-[needs(1)]-20221109.nb" and "4, Fig2A-Oroboros-simulation-data-[needs-(1-2-and-3)]-20221109.nb" after running "1, generate-model-20221109.nb"

Mathematica notebook with model simulation of metabolite profiles after 24h incubation with different ratios of HSD11B1 and AKR1C3 transfected HEK293 cells.

Adjusted model to test the model's ability to oxygen consumption rate by permeabilised HepG2 cells in an Oroboros oxygraph. Data from Fletcher et al. (2019).

Adjusted model to test the model's ability to predict palmitoyl-CoA and octanoyl-CoA dehydrogenation in human liver lysate, with and without anti-MCAD and anti-VLCAD antibodies. Data from Aoyama et al. (1995).

Unzip model notebooks and keep in the same folder. Notebook names state which notebooks need to be run before them in order for them to word, e.g. "[needs-(1)]" indicates that the notebook numbered 1 must be run and its exported output generated before the given notebook can work. This has to do with the model being generated in only one notebook to avoid duplication.

NLRP3 inflammasome activation

Thrombotic complications and coagulopathy in COVID-19

Kynurenine synthesis pathway

TGF beta signalling

The role of the interaction between the SARS-CoV-2 Spike protein and the renin-angiotensin pathway, in particular human ACE2 in pulmonary blood pressure regulation

The Interferon-lambda (IFNL) map describes the action of the drug candidate IFNL on intra- and intercellular signal transduction under SARS-CoV-2.

The relation of the interferon 2 pathway and SARS-CoV-2.

The pathway of heme metabolism under COVID-19, involving Orf3a and Orf9c

The impact of SARS-CoV-2 on the apoptosis pathway

The pathways focused on SARS-CoV infections curated in Reactome. These pathways are work-in-progress.

A diagram of Nsp9 interactions.

Orf10 of SARS-CoV-2 and its interaction with the Cul2 pathway.

Pyrimidine deprivation and immune response related to human coronavirus infection

The mechanisms of the Electron Transport Chain under COVID-19, including Nsp7, Nsp8 and Orf9c

SARS-CoV-2 impact on the ER stress

COVID-19 Causal Networks: The SIGNOR team has curated the causal relationships that, according to available evidence, are likely to be relevant for the COVID-19 pathology. The perturbations caused by viral infection are integrated into the cell networks. Evidence obtained using related human coronaviruses diseases such as SARS and MERS are also mapped to the networks. Most of these are indirect relationships as few mechanistic details are clarified to date. As new evidence will be published, it ...