NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE207592 Query DataSets for GSE207592
Status Public on Jul 09, 2022
Title A cellular hierarchy in melanoma uncouples growth and metastasis
Organisms Homo sapiens; Mus; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary Although melanoma is notorious for its high degree of heterogeneity and plasticity, the origin and magnitude of cell state diversity remains poorly understood. Equally, it is not known whether melanoma growth and metastatic dissemination are supported by overlapping or distinct melanoma subpopulations. By combining mouse genetics, unbiased lineage tracing and quantitative modelling, single-cell and spatial transcriptomics, we provide evidence of a hierarchical model of tumour growth that mirrors the cellular and molecular logic underlying embryonic neural crest cell fate specification and differentiation. Our findings indicate that tumorigenic competence is associated with a spatially localized perivascular niche environment, a phenotype acquired through a NOTCH3-dependent intercellular communication pathway established by endothelial cells. Consistent with a model in which only a fraction of melanoma cells is fated to fuel growth, temporal single-cell tracing of a population of melanoma cells harbouring a mesenchymal-like state revealed that these cells do not contribute to primary tumour growth but, instead, constitutes a pool of metastatic-initiating cells that can switch cell identity while disseminating to secondary organs. Our data provide a spatially and temporally resolved map of the diversity and trajectories of cancer cell states within the evolving melanoma ecosystem and suggest that the ability to support growth and metastasis are limited to distinct pools of melanoma cells. The observation that these phenotypic competencies can be dynamically acquired upon exposure to specific niche signals warrant the development of therapeutic strategies that interfere with the cancer cell reprogramming activity of such microenvironmental cues.
 
Overall design scRNA-Seq and bulk RNA-Seq
 
Contributor(s) Rambow F, Karras P, Pozniak J
Citation(s) 36131018, 38963759
Submission date Jul 06, 2022
Last update date Aug 26, 2024
Contact name Panagiotis Cristophe Karras
E-mail(s) panagiotis.karras@kuleuven.vib.be
Phone 0479673407
Organization name VIB Center for Cancer Biology
Street address Herestraat 49
City leuven
State/province belgium
ZIP/Postal code 3000
Country Belgium
 
Platforms (3)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
GPL28457 DNBSEQ-G400 (Mus musculus)
GPL31136 Illumina NovaSeq 6000 (Mus)
Samples (25)
GSM6300689 CMA001
GSM6300690 scrCMA079_mm10
GSM6300691 scrCMA080_mm10
Relations
BioProject PRJNA856289

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE207592_MM047siINVTFsMatrix.txt.gz 232.7 Kb (ftp)(http) TXT
GSE207592_RAW.tar 3.6 Gb (http)(custom) TAR (of CSV, H5, MTX, TIFF, TSV, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap