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Series GSE255829 Query DataSets for GSE255829
Status Public on Jun 17, 2024
Title Genomic heterogeneity drives mechanical adaptation in human tumor cells [RNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The progression of many solid tumors is accompanied by temporal and spatial changes in the stiffness of the extracellular matrix (ECM). Cancer cells adapt to soft and stiff ECM through mechanisms that are not fully understood. In particular, it is well known that there is significant genetic heterogeneity from cell to cell in tumors, but how ECM stiffness as a parameter might interact with that genetic variation is not known. Here, we used the method of experimental evolution to study response of genetically variable and clonal tumor cell populations to ECM stiffness. Cell fitness increased on soft ECM over a period of several weeks in genetically variable but not clonal populations. DNA barcode-enabled clonal tracking revealed that sustained culture on soft ECM selects for a few genetic variants. These data provide the first evidence that ECM stiffness exerts natural selection on genetically variable tumor populations. Genome-wide analysis including RNA-seq, ATAC-seq and DNA methylation profiling reveal substantial differences in gene expression between selected populations and ancestral cells which are partially explained by epigenetic modifications. Soft-selected cells are highly migratory with enriched oncogenic signatures and exhibit highly unusual behaviors like spreading and traction force generation on ECMs as soft as 1 kPa. Cell spreading is the directly selected trait but not levels of integrins or adhesion proteins like talin. Overall, these data show that ECM stiffness in solid tumors may drive malignant behaviors through evolution by natural selection.
 
Overall design To explore the mechanism underlying cell evolution on soft ECM, we performed whole genome transcriptome sequencing (RNA-seq).
 
Contributor(s) Wang T, Sawhney S, Morgan D, Bennett RL, Rashmi R, Estecio MR, Brock A, Singh I, Baer CF, Licht JD, Lele TP
Citation(s) 39302966
Submission date Feb 14, 2024
Last update date Sep 24, 2024
Contact name Ting-Ching Wang
E-mail(s) tcwang@tamu.edu
Phone 979-739-4958
Organization name Texas A&M University
Street address 101 Bizzell St
City College Station
ZIP/Postal code 77843
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (16)
GSM8081354 MDA-MB-231, ancestral on soft, rep 1 (RNA-seq)
GSM8081355 MDA-MB-231, ancestral on soft, rep 2 (RNA-seq)
GSM8081356 MDA-MB-231, ancestral on soft, rep 3 (RNA-seq)
Relations
BioProject PRJNA1076641

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
GSE255829_fpkm_rna.txt.gz 2.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA

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