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

Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression

5 Jun 2025

Abstract excerpt

Abstract Kidney fibrosis, characterized by excessive extracellular matrix deposition, is a progressive disease that, despite affecting 10% of the population, lacks specific treatments and suitable biomarkers. This study presents a comprehensive, time-resolved multi-omics analysis of kidney fibrosis using an in vitro model system based on human kidney PDGFRβ + mesenchymal cells aimed at unraveling disease...

Read the complete abstract on PubMed

Topics

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

Share to Chronic Kidney Disease and Diabetes
Share to Renal and related cancers
Share to Renal cell carcinoma treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40473842
DOI: 10.1038/s44320-025-00116-2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progressionPMID 40473842Read ↗

Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progressionSemantic proximity Read ↗

Single-cell transcriptomic profiling of kidney fibrosis identifies a novel specific fibroblast marker and putative disease targetSemantic proximity Read ↗

Kidney fibrosis molecular mechanisms Spp1 influences fibroblast activity through transforming growth factor beta smad signalingSemantic proximity Read ↗

Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progressionSemantic proximity Read ↗

Cellular and Spatial Drivers of Unresolved Injury and Functional Decline in the Human KidneySemantic proximity Read ↗

Scissor–CIBERSORTx Deconvolution Reveals Functional Heterogeneity of CTAL/aTAL Cells and Associated Biomarkers in Renal FibrosisSemantic proximity Read ↗

Single-cell sequencing dissects the transcriptional identity of activated fibroblasts and identifies novel persistent distal tubular injury patterns in kidney fibrosisSemantic proximity Read ↗

Decoding myofibroblast origins in human kidney fibrosisSemantic proximity Read ↗

Single-cell sequencing dissects the transcriptional identity of activated fibroblasts and identifies novel persistent distal tubular injury patterns in kidney fibrosisSemantic proximity Read ↗

Make Precision Medicine Work for Chronic Kidney Disease.Semantic proximity Read ↗

Characterization of Matricellular Protein Expression Signatures in Mechanistically Diverse Mouse Models of Kidney InjurySemantic proximity Read ↗

Shared and organ-specific gene expression programs of fibrotic diseasesSemantic proximity Read ↗

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