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

Identification of key genes associated with the progression of liver fibrosis to hepatocellular carcinoma based on iTRAQ proteomics and GEO database

3 Feb 2022

Abstract excerpt

INTRODUCTION AND OBJECTIVE: Liver fibrosis (LF) often leads to cirrhosis and even hepatocellular carcinoma (HCC), but the molecular mechanism remains unclear. The aims of the present study were to identify potential biomarkers for the progression of LF to HCC and explore the associated molecular mechanisms. MATERIALS AND METHODS: The isobaric tags for relative and absolute quantitation (iTRAQ) was used to detect...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Hepatocellular Carcinoma Treatment and Prognosis
Share to Liver physiology and pathology

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35124283
DOI: 10.1016/j.aohep.2022.100681

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 24 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of key genes associated with the progression of liver fibrosis to hepatocellular carcinoma based on iTRAQ proteomics and GEO databasePMID 35124283Read ↗

Proteome Differences between Hepatitis B Virus Genotype-B- and Genotype-C-Induced Hepatocellular Carcinoma Revealed by iTRAQ-Based Quantitative Proteomics.Semantic proximity Read ↗

Multitranscriptome analyses reveal prioritized genes specifically associated with liver fibrosis progression independent of etiologySemantic proximity Read ↗

Transcriptomic Enrichment of Ferroptosis-Related Gene <i>ACSL4</i> in Advanced Hepatic Fibrosis/Cirrhosis: Bioinformatics Analysis and Experimental validationSemantic proximity Read ↗

Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologiesSemantic proximity Read ↗

Multi‐omics profiling of primary hepatic stellate cells from advanced liver fibrosis patients reveals distinctive molecular signaturesSemantic proximity Read ↗

Identification of key genes in non‑alcoholic fatty liver disease progression based on bioinformatics analysis.Semantic proximity Read ↗

Lactylation signature identifies liver fibrosis phenotypes and traces fibrotic progression to hepatocellular carcinoma.Semantic proximity Read ↗

Molecular characterization of chronic liver disease dynamics: From liver fibrosis to acute-on-chronic liver failureSemantic proximity Read ↗

Transcriptomics reveals immune-metabolism disorder in acute-on-chronic liver failure in ratsSemantic proximity Read ↗

iTRAQ-Based Proteomics Reveals Novel Biomarkers for Idiopathic Pulmonary FibrosisSemantic proximity Read ↗

Proteome Expression Profile for Red Blood Cells Enables Diagnostics for Hepatocellular CarcinomaSemantic proximity Read ↗

Identification and Analysis of Hub Transcriptional Factors Related to Acetaminophen-Induced Liver InjurySemantic proximity Read ↗

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