{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15"],"submitter":["Phetkong C"],"pubmed_abstract":["<h4>Introduction</h4>Hepatocellular carcinoma (HCC) remains a major cause of cancer mortality, and effective therapeutic options are limited. MicroRNA‑372‑3p (miR‑372‑3p) has been implicated in HCC, yet its exact role is unclear.<h4>Methods</h4>We established miR‑372‑3p‑overexpressing HCC cell lines (HepG2, SNU‑449, JHH‑4) via lentiviral transduction. Malignant phenotypes were assessed with MTT, transwell migration/invasion, and colony‑formation assays. Transcriptomic changes were analyzed by RNA‑sequencing followed by Gene Set Enrichment Analysis. Lipid metabolism was examined using BODIPY/Oil Red O staining, triglyceride quantification, FAOBlue assays, and organelle colocalization imaging. Candidate targets of miR‑372‑3p were computationally predicted and validated by dual‑luciferase rep"],"journal":["BioImpacts : BI"],"pagination":["31075"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12413982"],"repository":["biostudies-literature"],"pubmed_title":["MicroRNA-372-3p impairs fatty acid metabolism in hepatocellular carcinoma cells by targeting &lt;i&gt;CPT1A&lt;/i&gt; and &lt;i&gt;ACSL4&lt;/i&gt;."],"pmcid":["PMC12413982"],"pubmed_authors":["Boonto T","Phetkong C","Thamjamrassri P","Tangkijvanich P","Ariyachet C"],"additional_accession":[]},"is_claimable":false,"name":"MicroRNA-372-3p impairs fatty acid metabolism in hepatocellular carcinoma cells by targeting &lt;i&gt;CPT1A&lt;/i&gt; and &lt;i&gt;ACSL4&lt;/i&gt;.","description":"<h4>Introduction</h4>Hepatocellular carcinoma (HCC) remains a major cause of cancer mortality, and effective therapeutic options are limited. MicroRNA‑372‑3p (miR‑372‑3p) has been implicated in HCC, yet its exact role is unclear.<h4>Methods</h4>We established miR‑372‑3p‑overexpressing HCC cell lines (HepG2, SNU‑449, JHH‑4) via lentiviral transduction. Malignant phenotypes were assessed with MTT, transwell migration/invasion, and colony‑formation assays. Transcriptomic changes were analyzed by RNA‑sequencing followed by Gene Set Enrichment Analysis. Lipid metabolism was examined using BODIPY/Oil Red O staining, triglyceride quantification, FAOBlue assays, and organelle colocalization imaging. Candidate targets of miR‑372‑3p were computationally predicted and validated by dual‑luciferase rep","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-02T22:37:03.656Z","creation":"2026-05-28T03:07:00.328Z"},"accession":"S-EPMC12413982","cross_references":{"pubmed":["40922951"],"doi":["10.34172/bi.31075"]}}