ArticleBiology2018
Pseudotime Dynamics in Melanoma Single-Cell Transcriptomes Reveals Different Mechanisms of Tumor Progression.
Article in Biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Single-cell transcriptome analysis suggests cells of the tumor microenvironment as a major discriminator between brain and extracranial melanoma metastases.Biology direct · 2025Article
- A distinct subgroup with Schwann-like differentiation presents immune resistance and poor prognosis in plantar melanoma.Theranostics · 2025Article
- Review
- Single-cell RNA sequencing in melanoma: what have we learned so far?EBioMedicine · 2024Review
- Single-cell spatial proteomic imaging for human neuropathology.Acta neuropathologica communications · 2022Article
- Article
- Transcriptional states of CAR-T infusion relate to neurotoxicity - lessons from high-resolution single-cell SOM expression portraying.Frontiers in immunology · 2022Article
- Article
- PseudoGA: cell pseudotime reconstruction based on genetic algorithm.Nucleic acids research · 2021Article
- Article
- Article
- Applying Single-Cell Technology in Uveal Melanomas: Current Trends and Perspectives for Improving Uveal Melanoma Metastasis Surveillance and Tumor Profiling.Frontiers in molecular biosciences · 2020Article
- Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma.Cell death & disease · 2019Review
- Melanoma plasticity and phenotypic diversity: therapeutic barriers and opportunities.Genes & development · 2019Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell transcriptomics has been used for analysis of heterogeneous populations of cells during developmental processes and for analysis of tumor cell heterogeneity. More recently, analysis of pseudotime (PT) dynamics of heterogeneous cell populations has been established as a powerful concept to study developmental processes. Here we perform PT analysis of 3 melanoma short-term cultures with different genetic backgrounds to study specific and concordant properties of PT dynamics of selected cellular programs with impact on melanoma progression. Overall, in our setting of melanoma cells PT dynamics towards higher tumor malignancy appears to be largely driven by cell cycle genes. Single cells of all three short-term cultures show a bipolar expression of microphthalmia-associated transcription factor (MITF) and AXL receptor tyrosine kinase (AXL) signatures. Furthermore, opposing gene expression changes are observed for genes regulated by epigenetic mechanisms suggesting epigenetic reprogramming during melanoma progression. The three melanoma short-term cultures show common themes of PT dynamics such as a stromal signature at initiation, bipolar expression of the MITF/AXL signature and opposing regulation of poised and activated promoters. Differences are observed at the late stage of PT dynamics with high, low or intermediate MITF and anticorrelated AXL signatures. These findings may help to identify targets for interference at different stages of tumor progression.
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