scRNA-seq and snRNA-seq profiling of 26 melanoma samples.

scRNA-seq and snRNA-seq profiling of 26 melanoma samples.

<p>(A) t-SNE plots depicting the cell origins by seurat clusters (left panel), samples origin (middle panel) and tissue origin (left panel). (B-C) Boxplot showing the proportions of melanoma cells, T/NK cells and macrophages across PT, ECM and MBM. Statistical difference was calculated by the...

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Dettagli Bibliografici
Autore principale:	Jingxin Zeng (18773484) (author)
Altri autori:	Ling Lin (57361) (author), Yangyang Ma (6329852) (author), Wenzhe Huang (446343) (author), Quan Luo (1423180) (author), Ju Wen (14784239) (author)
Pubblicazione:	2025
Soggetti:	Cell Biology Genetics Neuroscience Biotechnology Immunology Developmental Biology Cancer Hematology Virology Biological Sciences not elsewhere classified Information Systems not elsewhere classified limited treatment efficacy associated tumor cells adhesion genes (< nucleus rna sequencing metastatic tumor subpopulation 26 melanoma samples study identifies mbmatcs mbm ecosystems showed div >< p melanoma brain metastasis metastatic pathways bulk rna brain metastasis melanoma patients validation cohorts upregulated neural treg enrichment remains lethal potential activity nrg3 </ ncam1 </ mela3 ). lag3 </ high risk havcr2 </ early stratification clinical relevance cellular origins cellular origin brain tropism >), suggesting 1 </
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