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Series GSE134842 Query DataSets for GSE134842
Status Public on Dec 19, 2020
Title Assessing efficiency of single cell population by Drop-seq using cell mixture of epithelial and myeloid cells.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary A lung epithelial cell line was mixed with monocytes/marcophages, and then cells were separated using specific antibodies and/or Drop-seq. PC9 is a non-small cell lung carcinoma (NSCLC) cell line. Myeloid lineage cell line U937 are known to differentiate along monocyte/marcophage lineage by TPA. Using Drop-seq, we were able to clearly distinguish PC9 from U937 cells in the mixture. The separation by Drop-seq was correlated with the separation by cell type-specific antibodies. We were able to identify specific biomarkers, as preferentially expressed genes, for each cell population. The results of our study addresses the quality of cell separation by Drop-seq.
 
Overall design efficincy of cell separation using single cell RNA-seq
 
Contributor(s) Benevolenskaya EV, Aissa AF, Islam AB
Citation(s) 33712615
NIH grant(s)
Grant ID Grant title Affiliation Name
R01 CA211095 Role of KDM5A in pRB-mediated differentiation BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS Elizaveta V. Benevolenskaya
Submission date Jul 25, 2019
Last update date Mar 22, 2021
Contact name Elizaveta V Benevolenskaya
E-mail(s) [email protected]
Phone 312-413-8947
Organization name University of Illinois at Chicago
Department Biochemistry and Molecular Genetics
Street address 900 S. Ashland Ave.
City Chicago
State/province IL
ZIP/Postal code 60607
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (3)
GSM3972674 PC9 U937 mix
GSM3972675 EpCAM-positive
GSM3972676 CD45-negative
This SubSeries is part of SuperSeries:
GSE149383 Drug resistant changes at the level of single cells
Relations
BioProject PRJNA556616
SRA SRP216365

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
GSE134842_RAW.tar 7.1 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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