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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Bibliographische Detailangaben
1. Verfasser: Jingxin Zeng (18773484) (author)
Weitere Verfasser: Ling Lin (57361) (author), Yangyang Ma (6329852) (author), Wenzhe Huang (446343) (author), Quan Luo (1423180) (author), Ju Wen (14784239) (author)
Veröffentlicht: 2025
Schlagworte:
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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