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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Bibliografische gegevens
Hoofdauteur:	Jingxin Zeng (18773484) (author)
Andere auteurs:	Ling Lin (57361) (author), Yangyang Ma (6329852) (author), Wenzhe Huang (446343) (author), Quan Luo (1423180) (author), Ju Wen (14784239) (author)
Gepubliceerd in:	2025
Onderwerpen:	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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Samples & cell type composition in sc/snRNA-seq.
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Marker genes in melanoma tumor cells across PT, ECM and MBM by sc/snRNA-seq.
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Single cell RNA-seq and snRNA-seq profiling of the PTs (primary melanoma), ECMs (extracranial melanoma metastases) and MBMs (melanoma brain metastases) environments.
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Discovery of therapeutic compounds targeting brain metastasis-associated tumor cells (MBMATCs) in high MBM-Index melanoma.
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The MBM-Index as an independent predictor of overall survival (OS) in melanoma.
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Identification of melanoma brain metastasis-associated tumor cell subpopulations (MBMATCs).
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Tumor cell-specific transcriptomic features across PTs, ECMs and MBMs.
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Immune landscape and CD8<sup>+</sup> T cell transition states in PTs, ECMs and MBMs.
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Samples & cell type composition in melanoma tumor cells.
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AXL and MITF signature genes.
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Identification of therapeutic drugs with high drug sensitivity for brain metastasis-associated tumor cells (MBMATCs) and high-brain metastasis (MBM) index patients.
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The enriched pathway by all transcripts differentially expressed between MBMATCs and other tumor cells, and between MBM-High and MBM-Low groups.
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The MBM-Index showed no significant correlation with clinicopathological features.
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Interaction between MBMATCs and the immune microenvironment.
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Pseudotime trajectory analysis of melanoma clusters Mela4 and Mela5.
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Supplementary Table 2 from Apolipoprotein E2 Stimulates Protein Synthesis and Promotes Melanoma Progression and Metastasis
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Supplementary Table 3 from Apolipoprotein E2 Stimulates Protein Synthesis and Promotes Melanoma Progression and Metastasis
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Table S3 from Clinical Importance of the lncRNA <i>NEAT1</i> in Cancer Patients Treated with Immune Checkpoint Inhibitors
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Table S6 from Clinical Importance of the lncRNA <i>NEAT1</i> in Cancer Patients Treated with Immune Checkpoint Inhibitors
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