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 and characterization of bone/cartilage-associated signatures in common fibrotic skin diseases

4 Apr 2023

Abstract excerpt

Background: Fibrotic skin diseases are characterized by excessive accumulation of the extracellular matrix (ECM) and activation of fibroblasts, leading to a global healthcare burden. However, effective treatments of fibrotic skin diseases remain limited, and their pathological mechanisms require further investigation. This study aims to investigate the common biomarkers and therapeutic targets in two major...

Read the complete abstract on PubMed

Topics

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

Share to Dermatological and Skeletal Disorders
Share to Skin and Cellular Biology Research
Share to Systemic Sclerosis and Related Diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37082197
DOI: 10.3389/fgene.2023.1121728

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

Identification and characterization of bone/cartilage-associated signatures in common fibrotic skin diseasesPMID 37082197Read ↗

The Polygenic Map of Keloid Fibroblasts Reveals Fibrosis-Associated Gene Alterations in Inflammation and Immune Responses.Semantic proximity Read ↗

Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic modelSemantic proximity Read ↗

Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Discovering novel hub genes and pathways associated with the pathogenesis of psoriasisSemantic proximity Read ↗

Identification of Biomarkers and Mechanisms for Keloid Disorder based on Comprehensive Bioinformatics Analysis and Machine Learning AlgorithmsSemantic proximity Read ↗

Integrated bioinformatic analysis of gene expression profiling data to identify combinatorial biomarkers in inflammatory skin diseaseSemantic proximity Read ↗

Identification of hub genes and pathways in psoriasis through bioinformatics and validation by RT-qPCRSemantic proximity Read ↗

Underlying Genes and Molecular Mechanism of Keloids Investigated by Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Identification of novel hub genes and pathways predictive of fibrosis progression in cancer-related lymphedema through integrated multi-omicsSemantic proximity Read ↗

Identification and clinical implications of the immune-related hub genes in psoriasisSemantic proximity Read ↗

Identification and validation of HOXD3 and UNC5C as molecular signatures in keloid based on weighted gene co-expression network analysisSemantic proximity Read ↗

Exploring Diagnostic and Therapeutic Markers Based on Immune-Related Genes in PsoriasisSemantic proximity Read ↗

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