{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["29"],"submitter":["Cho M"],"pubmed_abstract":["Cancer-associated fibroblasts (CAFs), one of the most substantial constituents of the pancreatic tumor microenvironment, exhibit far greater heterogeneity and phenotypic plasticity than it was previously recognized. Accordingly, distinguishing between CAF subpopulations and their functional roles in pancreatic tumorigenesis has become increasingly important. Additionally, as the importance of the therapeutic approach increases, interests in technologies capable of efficiently differentiating between normal fibroblast subpopulations and pathologic CAFs also grow. Label-free imaging and analytical technologies that do not require fluorescent labeling or other preprocessing steps offer a promising alternative to conventional invasive cell analysis. Here, we employed Raman spectroscopy to chem"],"journal":["Biomaterials research"],"pagination":["0292"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12686345"],"repository":["biostudies-literature"],"pubmed_title":["Molecular Profiling of Inflammatory and Myofibroblast Cancer-Associated Fibroblast Subtypes Derived from Human Pancreatic Stellate Cells Using Machine Learning-Based Label-Free Raman Spectroscopy."],"pmcid":["PMC12686345"],"pubmed_authors":["Jun E","Cho M","Koh EY","Pack CG","Kim JK","Kim Y","Kim SJ"],"additional_accession":[]},"is_claimable":false,"name":"Molecular Profiling of Inflammatory and Myofibroblast Cancer-Associated Fibroblast Subtypes Derived from Human Pancreatic Stellate Cells Using Machine Learning-Based Label-Free Raman Spectroscopy.","description":"Cancer-associated fibroblasts (CAFs), one of the most substantial constituents of the pancreatic tumor microenvironment, exhibit far greater heterogeneity and phenotypic plasticity than it was previously recognized. Accordingly, distinguishing between CAF subpopulations and their functional roles in pancreatic tumorigenesis has become increasingly important. Additionally, as the importance of the therapeutic approach increases, interests in technologies capable of efficiently differentiating between normal fibroblast subpopulations and pathologic CAFs also grow. Label-free imaging and analytical technologies that do not require fluorescent labeling or other preprocessing steps offer a promising alternative to conventional invasive cell analysis. Here, we employed Raman spectroscopy to chem","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-31T03:14:06.496Z","creation":"2026-05-31T03:09:56.426Z"},"accession":"S-EPMC12686345","cross_references":{"pubmed":["41376815"],"doi":["10.34133/bmr.0292"]}}