Back to search

Article

Transcriptomic module fingerprint reveals heterogeneity of whole blood transcriptome in type 1 diabetic patients

2025-11-24

Abstract excerpt

<h4>Background</h4> Type 1 diabetes (T1D) is a complex autoimmune disease resulting from β-cell destruction in the pancreas. Yet, no gene signature derived from whole blood samples has been established to differentiate T1D patients from healthy donors, likely because of the high heterogeneity of the underlying pathophysiological mechanisms. <h4>Methods</h4> We analysed whole blood transcriptomic profiles from 39...

Topics

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

Identifiers and source

Literature Corpus work
2207bde5-f9bd-58ba-bf00-d1600da6f8e6
DOI
10.1101/2025.11.19.689306
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Transcriptomic module fingerprint reveals heterogeneity of whole blood transcriptome in type 1 diabetic patientsDOI 10.1101/2025.11.19.689306
Transcriptomic Architecture of Type 2 Diabetes in Human Pancreatic Islets: An Integrative Meta-Analysis and Machine Learning Framework for Biomarker DiscoverySemantic proximity
Integrative analysis of the transcriptome profiles observed in type 1, type 2 and gestational diabetes mellitus reveals the role of inflammationSemantic proximity
Immune mechanisms of type 1 diabetes revealed by single-cell transcriptomics, bulk transcriptomics, and experimental validationSemantic proximity
Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitusSemantic proximity
Multi-Tiered Assessment of Gene Expression Provides Evidence for Mechanisms That Underlie Risk for Type 2 DiabetesSemantic proximity
Gene Co-Expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Type 1 DiabetesSemantic proximity
In silico analysis reveals interrelation of enriched pathways and genes in type 1 diabetes.Semantic proximity
Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 DiabetesSemantic proximity
Unraveling the molecular heterogeneity in type 2 diabetes: A potential subtype discovery followed by metabolic modelingSemantic proximity
Identification of Key Genes and Pathways in Peripheral Blood Mononuclear Cells of Type 1 Diabetes Mellitus by Integrated Bioinformatics AnalysisSemantic proximity
Discovering the diagnostic biomarkers underlying Type 1 diabetes and Celiac disease by integrating transcriptomics and machine learningSemantic proximity
Uncovering the gene regulatory network of type 2 diabetes through multi-omic data integrationSemantic proximity
Select a neighboring publication to make it the new centre.