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Series GSE158844 Query DataSets for GSE158844
Status Public on Oct 31, 2020
Title Phenotypically supervised single cell sequencing parses within-cell-type heterogeneity
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We used a phenotypic cell sorting technique to ask whether phenotypically supervised scRNAseq analysis (pheno-scRNAseq) can provide more insight into heterogeneous cell behaviors than unsupervised scRNAseq. Using a simple 3D in vitro breast cancer (BRCA) model, we conducted pheno-scRNAseq on invasive and non-invasive cells and compared the results to phenotype-agnostic scRNAseq analysis. Pheno-scRNAseq identified unique and more selective differentially expressed genes (DEGs) than unsupervised scRNAseq analysis. Functional studies validated the utility of pheno-scRNAseq in understanding within-cell-type functional heterogeneity and revealed that migration phenotypes were coordinated with specific metabolic, proliferation, stress, and immune phenotypes.
 
Overall design Transcriptomic examination of human and mouse breast cancer cells for phenotypic heterogeneity. Phenotypic supervision: Cells were phototagged using photoconversion of Dendra2 that was transduced into MDA-MB-231 cells. Cells were then sorted using fluorescence activated cell sorting. 2 samples were phenotypically supervised, 2 samples were phenotype-agnostic.
Web link https://doi.org/10.1016/j.isci.2020.101991
 
Contributor(s) Chen K, Ozturk K, Carter H, Fraley SI
Citation(s) 33490901, 34095869
Submission date Sep 30, 2020
Last update date Jun 15, 2021
Contact name Stephanie I Fraley
Organization name UCSD
Street address 9500 Gilman Drive MC 0412
City San Diego
State/province CA
ZIP/Postal code 92093
Country USA
 
Platforms (3)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (4)
GSM4812000 MDA spheroids
GSM4812001 MDA networks
GSM4812002 MDA mixed
Relations
BioProject PRJNA666683
SRA SRP285944

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Supplementary file Size Download File type/resource
GSE158844_MDA_10X_output.tar.gz 38.8 Mb (ftp)(http) TAR
GSE158844_MDA_combined_new_QC.rds.gz 801.6 Mb (ftp)(http) RDS
GSE158844_m4T1.rds.gz 561.5 Mb (ftp)(http) RDS
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Raw data are available in SRA
Processed data are available on Series record

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