ArticleInternational journal of clinical and experimental pathology2021
Analysis of key genes and related transcription factors in liver fibrosis based on bioinformatic technology.
Article in International journal of clinical and experimental pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Conserved hepatic RNA signatures across multiple cohorts reveal novel mechanistic clues for advanced fibrosis in human MASLD.Hepatology communications · 2026Pooled it
- Cell Function Experiments and Bioinformatics Analysis Jointly Revealed the Antineoplastic Effect of Lumican on Hepatocellular Carcinoma.Phenomics (Cham, Switzerland) · 2025Article
- Persistent Transcriptome Alterations in Zebrafish Embryos After Discontinued Opioid Exposure.International journal of molecular sciences · 2025Article
- Fibrosis and Hepatocarcinogenesis: Role of Gene-Environment Interactions in Liver Disease Progression.International journal of molecular sciences · 2024Review
- MFAP2 promotes HSCs activation through FBN1/TGF-β/Smad3 pathway.Journal of cellular and molecular medicine · 2023Article
- Specificity Proteins (SP) and Krüppel-like Factors (KLF) in Liver Physiology and Pathology.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze differentially expressed genes (DEGs) related to liver fibrosis, and clarify the key genes and the possible targets in the progression of liver fibrosis.
methodsUsing microarray datasets, GSE38199 was extracted from Gene Expression Omnibus (GEO), and a bioinformatics method was performed to find DEGs and transcription factors related to liver fibrosis.
resultsA total of 58 DEGs were screened out according to GEO2R online analysis tool, which included 49 up-regulated and 9 down-regulated genes. These DEGs were mainly involved in formation with the extracellular region and extracellular exosome through gene ontology (GO) enrichment analysis. Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis showed that DEGs mainly participated in the PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction, and metabolic pathways. Based on the results of the Protein-Protein Interaction (PPI) network and Molecular Complex Detection (MCODE) analysis, 9 key genes (
conclusionStat3, Trp53, NF-κB1, and Sp1 were all related to the development of liver fibrosis, and
Indexed as
Identifiers
33936366PMC8085816W3157460230What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.