ArticleOncogene2015
Single-cell gene expression signatures reveal melanoma cell heterogeneity.
Article in Oncogene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
45 citing papers in PubMed, 81 citations in OpenAlex.
- Investigating tumour heterogeneity in a melanoma arising in congenital melanocytic nevus using in situ spatial gene expression analysis.Journal of clinical pathology · 2026Article
- Oocyte-inspired universal whole-cell vaccines against tumor heterogeneity.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Multifaceted roles of OCT4 in tumor microenvironment: biology and therapeutic implications.Oncogene · 2025Review
- Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma.iScience · 2022Article
- Fate mapping melanoma persister cells through regression and into recurrent disease in adult zebrafish.Disease models & mechanisms · 2022Article
- Review
- Inherited duplications of PPP2R3B predispose to nevi and melanoma via a C21orf91-driven proliferative phenotype.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Deciphering Melanoma Cell States and Plasticity with Zebrafish Models.The Journal of investigative dermatology · 2021Article
- How Neural Crest Transcription Factors Contribute to Melanoma Heterogeneity, Cellular Plasticity, and Treatment Resistance.International journal of molecular sciences · 2021Review
- Reemergence of neural crest stem cell-like states in melanoma during disease progression and treatment.Stem cells translational medicine · 2021Review
- Long non-coding RNA TINCR suppresses metastatic melanoma dissemination by preventing ATF4 translation.EMBO reports · 2021Article
- Inter and intra-tumor somatostatin receptor 2 heterogeneity influences peptide receptor radionuclide therapy response.Theranostics · 2021Article
- Intrinsic Balance between ZEB Family Members Is Important for Melanocyte Homeostasis and Melanoma Progression.Cancers · 2020Review
- High-resolution label-free 3D mapping of extracellular pH of single living cells.Nature communications · 2019Article
- Zebrafish MITF-Low Melanoma Subtype Models Reveal Transcriptional Subclusters and MITF-Independent Residual Disease.Cancer research · 2019Article
- Melanoma plasticity and phenotypic diversity: therapeutic barriers and opportunities.Genes & development · 2019Review
- Intratumor heterogeneity index of breast carcinomas based on DNA methylation profiles.BMC cancer · 2019Article
- MiT/TFE Family of Transcription Factors, Lysosomes, and Cancer.Annual review of cancer biology · 2019Article
- One step DNA amplification of mammalian cells in picoliter microwell arrays.RSC advances · 2019Article
- SOX9 is a dose-dependent metastatic fate determinant in melanoma.Journal of experimental & clinical cancer research : CR · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is well established that tumours are not homogenous, but comprise cells with differing invasive, proliferative and tumour-initiating potential. A major challenge in cancer research is therefore to develop methods to characterize cell heterogeneity. In melanoma, proliferative and invasive cells are characterized by distinct gene expression profiles and accumulating evidence suggests that cells can alternate between these states through a process called phenotype switching. We have used microfluidic technology to isolate single melanoma cells grown in vitro as monolayers or melanospheres or in vivo as xenografted tumours and analyse the expression profiles of 114 genes that discriminate the proliferative and invasive states by quantitative PCR. Single-cell analysis accurately recapitulates the specific gene expression programmes of melanoma cell lines and defines subpopulations with distinct expression profiles. Cell heterogeneity is augmented when cells are grown as spheres and as xenografted tumours. Correlative analysis identifies gene-regulatory networks and changes in gene expression under different growth conditions. In tumours, subpopulations of cells that express specific invasion and drug resistance markers can be identified amongst which is the pluripotency factor POUF51 (OCT4) whose expression correlates with the tumorigenic potential. We therefore show that single-cell analysis can be used to define and quantify tumour heterogeneity based on detection of cells with specific gene expression profiles.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.