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Series GSE105451 Query DataSets for GSE105451
Status Public on Feb 11, 2019
Title TARGET-seq: novel method for single-cell mutational analysis and parallel RNA-sequencing [validation in cell lines; Figure 2 and Figure S3]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We developed TARGET-seq, a single-cell genotyping and RNA-seq method, which allows accurate detection of multiple mutations within single-cells from genomic and coding DNA in parallel with whole transcriptome analysis, providing a powerful tool to link transcriptional and genetic tumor heterogeneity. Single cell whole transcriptome analysis of JURKAT, SET2 and HSPCs using SMART-seq+, mRNA targeting (tSMARTseq) or TARGET-seq reveals very good correlations between methods.
 
Overall design Whole transcriptome analysis of single cells processed using SMART-seq+, mRNA targeting and TARGET-seq methods. We analyzed sequencing metrics, library quality and potential biases using TARGET-seq as compared to SMART-seq+ or mRNA targeting methods (tSMARTseq), in two different human cell lines (JURKAT and SET2) and primary HSPCs (Hematopoietic Stem and Progenitor Cells).
 
Contributor(s) Rodriguez-Meira A, Mead AJ
Citation(s) 30765193
Submission date Oct 20, 2017
Last update date May 15, 2019
Contact name Alba Rodriguez-Meira
Organization name University of Oxford
Department Weatherall Institute of Molecular Medicine
Street address John Radcliffe Hospital/Headley Way
City Oxford
ZIP/Postal code OX3 9DS
Country United Kingdom
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (180)
GSM2826274 JURKAT_CLPL2_10B
GSM2826275 JURKAT_CLPL2_10C
GSM2826277 JURKAT_CLPL2_10D
This SubSeries is part of SuperSeries:
GSE105454 TARGET-seq: novel method for single-cell mutational analysis and parallel RNA-sequencing
Relations
BioProject PRJNA415204
SRA SRP120614
SRA SRP167864

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
GSE105451_Rodriguez-Meira_et.al_RPKM.VALIDATION.txt.gz 7.4 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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