GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
Series GSE78968 Query DataSets for GSE78968
Status Public on Dec 31, 2016
Title Effective Detection of Variation in Single Cell Transcriptome using MATQ-seq
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We report here a new single-cell RNA-seq assay, Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq), which provides the accuracy and sensitivity that enable the detection of transcriptional variations existing in single cells of the same type. We performed a systematic characterization of the technical noise using pool-and-split averaged single-cell samples and showed that the biological variations in single cells were observed with statistical significance.
Overall design 10 HEK293T single cells and 10 HEK293T pool-and-split averaged single cell samples were sequenced with MATQ-seq. We also sequenced 6 MCF10A single cells and 6MCF10A pool-and-split averaged single cell samples.
To characterize the capture efficiency, we also sequenced 6 averaged one-fifth MCF10A single-cell samples with ERCC spike-in.
Additional 38 HEK293T single cells (HEK293T_clone1_SC*) and 10 HEK293T pool-and-split averaged single cell samples (HEK293T_clone1_SC_average*) were sequenced with MATQ-seq.
Contributor(s) Sheng K, Zong C
Citation(s) 28092691
Submission date Mar 07, 2016
Last update date May 15, 2019
Contact name Kuanwei Sheng
Organization name Baylor College of Medicine
Department Molecular and Human Genetics
Lab Zong Lab
Street address ONE BAYLOR PALAZA
State/province TX
ZIP/Postal code 77030
Country USA
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (91)
GSM2082827 HEK293T_averaged_sc_1
GSM2082828 HEK293T_averaged_sc_2
GSM2082829 HEK293T_averaged_sc_3
BioProject PRJNA314523
SRA SRP071245

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
GSE78968_RAW.tar 76.2 Mb (http)(custom) TAR (of DAT, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap