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Series GSE148372 Query DataSets for GSE148372
Status Public on Jun 26, 2020
Title RNA-Seq of brain metastatic breast cancer cell lines after knockout of lipid metabolism genes using CRISPR/Cas9 gene editing
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Brain metastasis is one of the lethal causes of breast cancer. Here we identified an altered lipid metabolism state to be associated with brain metastatic potential of breast cancer cell lines. To investigate the mechanism, we knocked out genes mediating this altered state and examined transcriptomic changes. The results revealed that these genes confer cells a state with increased lipid and cholesterol biosynthesis and that resembles the lipid metabolite state seen in the brain. These findings revealed an unappreciated machinery that cancer cells adopt for their increased adaptability to the brain microenvironment.
 
Overall design CRISPR/Cas9-expressing versions of the cell lines were infected with guides targeting sterol regulatory element-binding protein 1 (SREBF1), SREBP cleavage-activating protein (SCAP), phosphomevalonate kinase (PMVK) or non-targeting controls. Knock-out and wild-type cells were profiled with RNA-Seq. Profiling was performed for four brain metastatic breast cell lines including MDAMB231, HCC1806, HCC1954, and JIMT1.
 
Contributor(s) Jin X
Citation(s) 33299191, 37034672
Submission date Apr 09, 2020
Last update date May 02, 2023
Contact name Xin Jin
E-mail(s) xjin@broadinstitute.org
Organization name Broad Institute of MIT and Harvard
Street address 415 Main Street
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (23)
GSM4463269 HCC1806.wildtype.g2
GSM4463272 HCC1806.wildtype.g1
GSM4463275 HCC1806.PMVKko.g1
Relations
BioProject PRJNA624099
SRA SRP255872

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
GSE148372_ko.count.csv.gz 1.1 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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