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

Integrated Left Ventricular Global Transcriptome and Proteome Profiling in Human End-Stage Dilated Cardiomyopathy

6 Oct 2016

Abstract excerpt

AIMS: The disease pathways leading to idiopathic dilated cardiomyopathy (DCM) are still elusive. The present study investigated integrated global transcriptional and translational changes in human DCM for disease biomarker discovery. METHODS: We used identical myocardial tissues from five DCM hearts compared to five non-failing (NF) donor hearts for both transcriptome profiling using the ABI high-density...

Read the complete abstract on PubMed

Topics

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

Share to Advanced Proteomics Techniques and Applications
Share to Cardiac Fibrosis and Remodeling
Share to GDF15 and Related Biomarkers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 27711126
DOI: 10.1371/journal.pone.0162669

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

Integrated Left Ventricular Global Transcriptome and Proteome Profiling in Human End-Stage Dilated CardiomyopathyPMID 27711126Read ↗

Multi-omics integration to identify the genetic expression and protein signature of dilated and ischemic cardiomyopathySemantic proximity Read ↗

Integrated analysis of the proteome and transcriptome in human ischemic cardiomyopathySemantic proximity Read ↗

Proteomic Characterisation of Heart Failure Reveals a Unique Molecular Phenotype for Hypertrophic CardiomyopathySemantic proximity Read ↗

Multiomics Analysis of Transcriptome, Epigenome, and Genome Uncovers Putative Mechanisms for Dilated Cardiomyopathy.Semantic proximity Read ↗

Clustering of Cardiac Transcriptome Profiles Reveals UniqueSemantic proximity Read ↗

Identifying the Oxidative Stress-Related Diagnostic Biomarkers in Dilated Cardiomyopathy by Bioinformatics AnalysisSemantic proximity Read ↗

Integrative plasma lipidomics and proteomics profiling to decipher potential biomarkers of dilated cardiomyopathySemantic proximity Read ↗

Identification and Validation of RNA Modification-Related Biomarkers in Dilated cardiomyopathySemantic proximity Read ↗

Integrative analysis of genes reveals endoplasmic reticulum stress-related immune responses involved in dilated cardiomyopathy with fibrosisSemantic proximity Read ↗

Distinct Myocardial Transcriptomic Profiles of Cardiomyopathies Stratified by the Mutant Genes.Semantic proximity Read ↗

Novel insights into potential therapeutic targets and biomarkers using integrated multi- <i>omics</i> approaches for dilated and ischemic cardiomyopathiesSemantic proximity Read ↗

Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences.Semantic proximity Read ↗

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