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Series GSE115140 Query DataSets for GSE115140
Status Public on Sep 09, 2020
Title Single-cell analysis of tumor progression reveals the function, structure, and evolution of cancer archetypes
Organism Danio rerio
Experiment type Expression profiling by high throughput sequencing
Summary The classic cancer evolution model posits that driver mutations sweep the population sequentially as the complete set of hallmarks are assembled by the neoplastic clone. However, recent work has challenged this model revealing that most tumors contain highly complex dynamics with genetic diversity reflecting distinct clonal architectures. The functional and phenotypic heterogeneity also has been shown to have a crucial influence on the fate of the tumor5–10. However, it is not well understood how distinct tumor clonal populations coexist and function. Here, we study tumor architecture at the level of individual cells by sampling a zebrafish melanoma tumor over time and space. We found that cancer transcriptional programs can be classified to three archetypes, each exploiting the existing neural crest, mature melanocytes, and stress modules, and distinct intra-tumor locations. Strikingly, these archetypes are conserved in human melanoma. Further, we found that the cancer cells are comprised of two distinct clones, where one expresses a unique archetype. Over time, we found that the cells of this clone adapt by exhibiting a more similar profile to the corresponding archetype.
 
Overall design Single-cell RNA sequencing of zebrafish tumor cells from 2 zebrafish at multiple time points.
Web link https://doi.org/10.1016/j.cels.2020.08.018
 
Contributor(s) Baron M
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date May 31, 2018
Last update date Sep 09, 2020
Contact name Maayan Baron
E-mail(s) Maayan.Baron@nyumc.org
Organization name NYU
Lab Yanai
Street address 435 E. 30th Street, 8th Floor
City New York
State/province NY
ZIP/Postal code 10016
Country USA
 
Platforms (1)
GPL20828 Illumina NextSeq 500 (Danio rerio)
Samples (14)
GSM3167477 ZF1,tumor 1,time point 1
GSM3167478 ZF1,tumor 1,time point 2
GSM3167479 ZF1,tumor 1,time point 3
Relations
BioProject PRJNA473915
SRA SRP149420

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
GSE115140_RAW.tar 21.0 Mb (http)(custom) TAR (of CSV, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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