SynthesisScientific reports2016
Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Type 2 Diabetes.
Synthesis in Scientific reports, 2016. 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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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Longitudinal association between DNA methylation and type 2 diabetes: findings from the KORA F4/FF4 study.Cardiovascular diabetology · 2025Article
- Differential expression and correlation analysis of whole transcriptome for type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- Reduced methylation correlates with diabetic nephropathy risk in type 1 diabetes.The Journal of clinical investigation · 2023Article
- Comprehensive Interactome Mapping of Nuclear Receptors Using Proximity Biotinylation.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Integratome analysis of adipose tissues reveals abnormal epigenetic regulation of adipogenesis, inflammation, and insulin signaling in obese individuals with type 2 diabetes.Clinical and translational medicine · 2021Article
- JAZF1 heterozygous knockout mice show altered adipose development and metabolism.Cell & bioscience · 2021Article
- Multi-omics profiling: the way towards precision medicine in metabolic diseases.Journal of molecular cell biology · 2021Article
- Circulating lymphocytes and monocytes transcriptomic analysis of patients with type 2 diabetes mellitus, dyslipidemia and periodontitis.Scientific reports · 2020Article
- Revealing the Interactions Between Diabetes, Diabetes-Related Diseases, and Cancers Based on the Network Connectivity of Their Related Genes.Frontiers in genetics · 2020Article
- Sustained Stimulation of βDiabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Mitochondria under the spotlight: On the implications of mitochondrial dysfunction and its connectivity to neuropsychiatric disorders.Computational and structural biotechnology journal · 2020Review
- Overview of genomics and post-genomics research on type 2 diabetes mellitus: Future perspectives and a framework for further studies.Journal of biosciences · 2019Review
- A network biology approach to unraveling inherited axonopathies.Scientific reports · 2019Article
- An Artificial Neural Network Integrated Pipeline for Biomarker Discovery Using Alzheimer's Disease as a Case Study.Computational and structural biotechnology journal · 2018Review
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein interactions play significant roles in complex diseases. We analyzed peripheral blood mononuclear cells (PBMC) transcriptome using a multi-method strategy. We constructed a tissue-specific interactome (T2Di) and identified 420 molecular signatures associated with T2D-related comorbidity and symptoms, mainly implicated in inflammation, adipogenesis, protein phosphorylation and hormonal secretion. Apart from explaining the residual associations within the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) study, the T2Di signatures were enriched in pathogenic cell type-specific regulatory elements related to fetal development, immunity and expression quantitative trait loci (eQTL). The T2Di revealed a novel locus near a well-established GWAS loci AChE, in which SRRT interacts with JAZF1, a T2D-GWAS gene implicated in pancreatic function. The T2Di also included known anti-diabetic drug targets (e.g. PPARD, MAOB) and identified possible druggable targets (e.g. NCOR2, PDGFR). These T2Di signatures were validated by an independent computational method, and by expression data of pancreatic islet, muscle and liver with some of the signatures (CEBPB, SREBF1, MLST8, SRF, SRRT and SLC12A9) confirmed in PBMC from an independent cohort of 66 T2D and 66 control subjects. By combining prior knowledge and transcriptome analysis, we have constructed an interactome to explain the multi-layered regulatory pathways in T2D.
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