Article

Network Analysis Reveals Dysregulated Functional Patterns in Type II Diabetic Skin

2021-12-14

Abstract excerpt

Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis of single genes in previous research. Here, we use network analysis...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ed4d7917-4cb5-5bc4-ba7e-889921ef7472
DOI: 10.21203/rs.3.rs-1135528/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Network Analysis Reveals Dysregulated Functional Patterns in Type II Diabetic SkinDOI 10.21203/rs.3.rs-1135528/v1Read

Integrative systems biology framework discovers common gene regulatory signatures in multiple mechanistically distinct inflammatory skin diseasesSemantic proximity Read

<i>In-silico</i> analysis reveals hub genes and enriched pathways in Type 2 Diabetes MellitusSemantic proximity Read

Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancerSemantic proximity Read

Transcriptome profiling reveals association of peripheral adipose tissue pathology with type-2 diabetes in Asian IndiansSemantic proximity Read

Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: A bioinformatics analytic workflowSemantic proximity Read

Potential Biomarkers of Diabetic Kidney Disease Based on Weighted Gene Co-expression Network AnalysisSemantic proximity Read

Diabetic kidney disease‐predisposing proinflammatory and profibrotic genes identified by weighted gene co‐expression network analysis (WGCNA)Semantic proximity Read

Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integrationSemantic proximity Read

Multi-omics regulatory networks reveal the key driver genes in the development of type 2 diabetesSemantic proximity Read

Integrative systems biology framework discovers common gene regulatory signatures in multiple mechanistically distinct inflammatory skin diseases.Semantic proximity Read

Transcriptomic Analysis of Differentially Expressed Lipid Metabolism-Related Genes in Psoriasis PatientsSemantic proximity Read

Differently Expressed Genes (DEGs) Relevant to Type 2 Diabetes Mellitus Identification and Pathway Analysis via Integrated Bioinformatics AnalysisSemantic proximity Read