ArticleNPJ systems biology and applications2018
Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes.
Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- Mixing features of transcription factors and genes enable accurate prediction of gene regulation relationships for unknown transcription factors.NAR genomics and bioinformatics · 2026Article
- Regulatory Role of Nuclear Factor of Activated T Cells c4 in the Development of Metabolic dysfunction-associated Fatty Liver Disease.Current atherosclerosis reports · 2025Review
- Network medicine: an approach to complex kidney disease phenotypes.Nature reviews. Nephrology · 2023Review
- Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond.Nature communications · 2023Article
- HYGIEIA: HYpothesizing the Genesis of Infectious Diseases and Epidemics through an Integrated Systems Biology Approach.Viruses · 2022Article
- De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens.Genome research · 2022Article
- Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022Review
- Network medicine in Cardiovascular Research.Cardiovascular research · 2021Review
- Article
- Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside.Clinical epigenetics · 2021Review
- Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Differential epigenetic factors in the prediction of cardiovascular risk in diabetic patients.European heart journal. Cardiovascular pharmacotherapy · 2020Review
- Network Medicine in Pathobiology.The American journal of pathology · 2019Review
- SIRT6 Suppresses NFATc4 Expression and Activation in Cardiomyocyte Hypertrophy.Frontiers in pharmacology · 2018Article
Corrections and comments
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Authors and funding
16 authors at 5 institutions in 3 countries.
Funding
Abstract
Probing the dynamic control features of biological networks represents a new frontier in capturing the dysregulated pathways in complex diseases. Here, using patient samples obtained from a pancreatic islet transplantation program, we constructed a tissue-specific gene regulatory network and used the control centrality (Cc) concept to identify the high control centrality (HiCc) pathways, which might serve as key pathobiological pathways for Type 2 Diabetes (T2D). We found that HiCc pathway genes were significantly enriched with modest GWAS
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.