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

Integrative multi-omics analysis reveals novel idiopathic pulmonary fibrosis endotypes associated with disease progression

31 May 2023

Abstract excerpt

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is characterized by the accumulation of extracellular matrix in the pulmonary interstitium and progressive functional decline. We hypothesized that integration of multi-omics data would identify clinically meaningful molecular endotypes of IPF. METHODS: The IPF-PRO Registry is a prospective registry of patients with IPF. Proteomic and transcriptomic (including total...

Read the complete abstract on PubMed

Topics

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

Share to Connective Tissue Growth Factor Research
Share to Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Share to Systemic Sclerosis and Related Diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37344825
DOI: 10.1186/s12931-023-02435-0

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

Integrative multi-omics analysis reveals novel idiopathic pulmonary fibrosis endotypes associated with disease progressionPMID 37344825Read ↗

Cluster analysis of transcriptomic datasets to identify endotypes of Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

Cluster analysis of transcriptomic datasets to identify endotypes of idiopathic pulmonary fibrosisSemantic proximity Read ↗

Integrative omics analysis identifies biomarkers of idiopathic pulmonary fibrosisSemantic proximity Read ↗

Topological data analysis identifies molecular phenotypes of idiopathic pulmonary fibrosis.Semantic proximity Read ↗

Identifying new molecular signatures and potential therapeutics for idiopathic pulmonary fibrosis: a network medicine approachSemantic proximity Read ↗

Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes.Semantic proximity Read ↗

The Identification Markers of activated myofibroblast subsets in the Human Lung Fibrosis Ecosystem via integrated omics AnalysisSemantic proximity Read ↗

Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributorsSemantic proximity Read ↗

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkersSemantic proximity Read ↗

Exploring the Cellular and Molecular Landscape of Idiopathic Pulmonary Fibrosis: Integrative Multi-Omics and Single-Cell AnalysisSemantic proximity Read ↗

Mass cytometry identifies the source of cellular and functional changes of gene expression profiles associated with Idiopathic Pulmonary Fibrosis mortalitySemantic proximity Read ↗

Identification of common signatures in idiopathic pulmonary fibrosis and lung cancer using gene expression modelingSemantic proximity Read ↗

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