Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Multi-tissue multi-omics integration reveals tissue-specific pathways, gene networks and drug candidates for type 1 diabetes.

Diabetologia - 1 Jul 2026

Blencowe Montgomery, Saleem Zara, Liu Ruoshui, Wang Margaret, Tseng I-Hsin, Wier Julian, Mutter Stefan, Vaida Florin, Guo Yi, Sandholm Niina, Ackeifi Courtney, Kaufman Daniel L, Yang Xia

Abstract excerpt

AIMS/HYPOTHESIS: Although genome-wide association studies (GWAS) have identified loci associated with type 1 diabetes, the specific pathways and regulatory networks linking these loci to disease pathology remain largely unknown. We hypothesised that type 1 diabetes genetic risk factors disrupt tissue-specific biological pathways and gene networks that ultimately lead to beta cell loss. METHODS: We conducted a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Diabetes Mellitus, Type 1
Share to Gene Regulatory Networks

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Genomics

Share to Mice, Inbred NOD

Share to Multiomics

Source

Open in PubMed Open full text

Identifiers

PMID: 41986815
DOI: 10.1007/s00125-026-06721-6
PMCID: PMC13236778

Genes

FYN
GC
LCK
LCP2
TAP1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-tissue multi-omics integration reveals tissue-specific pathways, gene networks and drug candidates for type 1 diabetes.PMID 41986815Read ↗

Multitissue Multiomics Integration Reveals Tissue-Specific Pathways, Gene Networks, and Drug Candidates for Type 1 DiabetesSemantic proximity Read ↗

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

Integrated multi-omics strategies for identifying novel therapies in psoriasis.Semantic proximity Read ↗

In silico analysis reveals interrelation of enriched pathways and genes in type 1 diabetes.Semantic proximity Read ↗

Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 DiabetesSemantic proximity Read ↗

Type 1 Diabetes Mellitus-Associated Genetic Variants Contribute to Overlapping Immune Regulatory NetworksSemantic proximity Read ↗

Gene Expression Analysis of the Pre-Diabetic Pancreas to Identify Pathogenic Mechanisms and Biomarkers of Type 1 DiabetesSemantic proximity Read ↗

Transcriptomic Architecture of Type 2 Diabetes in Human Pancreatic Islets: An Integrative Meta-Analysis and Machine Learning Framework for Biomarker DiscoverySemantic proximity Read ↗

An integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D associated genes and regulatory signalsSemantic proximity Read ↗

From omics to AI —mapping the pathogenic pathways in type 2 diabetesSemantic proximity Read ↗

Type 1 diabetes mellitus-associated genetic variants contribute to overlapping immune regulatory networksSemantic proximity Read ↗

Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.