Molecular characterization of Pseudomyxoma peritonei with single-cell and bulk RNA sequencing

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dc.contributor.authorY J Ha-
dc.contributor.authorSeong-Hwan Park-
dc.contributor.authorSeon-Kyu Kim-
dc.contributor.authorK H Tak-
dc.contributor.authorJeong Hwan Kim-
dc.contributor.authorC W Kim-
dc.contributor.authorY S Yoon-
dc.contributor.authorSeon-Young Kim-
dc.contributor.authorJ L Lee-
dc.date.accessioned2025-02-06T16:32:46Z-
dc.date.available2025-02-06T16:32:46Z-
dc.date.issued2025-
dc.identifier.issn2052-4463-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/36830-
dc.description.abstractPseudomyxoma peritonei (PMP), a rare condition characterized by mucinous ascites in the peritoneal cavity, often leads to a poor prognosis. However, omics profiling of this disease remains significantly underexplored. Here, we present single-cell transcriptomic profiling of five PMP cases to identify cell type-specific gene features associated with PMP pathogenesis. Additionally, we provide bulk RNA-seq datasets from two independent cohorts: 19 fresh frozen tissue samples (12 PMPs) and 34 formalin-fixed paraffin-embedded (FFPE) samples (25 PMPs). We also offer protein expression data from a tissue microarray (TMA) analysis of 90 samples (45 PMPs). Our single-cell and bulk transcriptomic profiles, along with TMA verifications, reveal the cellular diversity of PMP, highlighting the coexistence of epithelial and mesenchymal characteristics within PMP cells. These datasets enhance our understanding of PMP pathogenesis and provide a valuable resource for uncovering the intricate molecular landscape of PMP, with the potential to improve clinical utility through further research.-
dc.publisherSpringer-Nature Pub Group-
dc.titleMolecular characterization of Pseudomyxoma peritonei with single-cell and bulk RNA sequencing-
dc.title.alternativeMolecular characterization of Pseudomyxoma peritonei with single-cell and bulk RNA sequencing-
dc.typeArticle-
dc.citation.titleScientific Data-
dc.citation.number0-
dc.citation.endPage213-
dc.citation.startPage213-
dc.citation.volume12-
dc.contributor.affiliatedAuthorSeong-Hwan Park-
dc.contributor.affiliatedAuthorSeon-Kyu Kim-
dc.contributor.affiliatedAuthorJeong Hwan Kim-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName하예진-
dc.contributor.alternativeName박성환-
dc.contributor.alternativeName김선규-
dc.contributor.alternativeName탁가희-
dc.contributor.alternativeName김정환-
dc.contributor.alternativeName김찬욱-
dc.contributor.alternativeName윤용식-
dc.contributor.alternativeName김선영-
dc.contributor.alternativeName이종렬-
dc.identifier.bibliographicCitationScientific Data, vol. 12, pp. 213-213-
dc.identifier.doi10.1038/s41597-025-04561-4-
dc.description.journalClassY-
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Division of A.I. & Biomedical Research > Genomic Medicine Research Center > 1. Journal Articles
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