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Series GSE63266 Query DataSets for GSE63266
Status Public on Mar 20, 2015
Title SC3-seq: a method for highly parallel and quantitative measurement of single-cell gene expression.
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Single-cell mRNA sequencing (RNA-seq) methods have undergone rapid development in recent years, and transcriptome analysis of relevant cell populations at single-cell resolution has become a key research area of biomedical sciences. We here present single-cell mRNA 3-prime end sequencing (SC3-seq), a practical methodology based on PCR amplification followed by 3-prime-end enrichment for highly quantitative, parallel and cost-effective measurement of gene expression in single cells. The SC3-seq allows excellent quantitative measurement of mRNAs ranging from the 10,000-cell to 1-cell level, and accordingly, allows an accurate estimate of the transcript levels by a regression of the read counts of spike-in RNAs with defined copy numbers. The SC3-seq has clear advantages over other typical single-cell RNA-seq methodologies for the quantitative measurement of transcript levels and at a sequence depth required for the saturation of transcript detection. The SC3-seq distinguishes four distinct cell types in the peri-implantation mouse blastocysts. Furthermore, the SC3-seq reveals the heterogeneity in human-induced pluripotent stem cells (hiPSCs) cultured under on-feeder as well as feeder-free conditions, demonstrating a more homogeneous property of the feeder-free hiPSCs. We propose that SC3-seq might be used as a powerful strategy for single-cell transcriptome analysis in a broad range of investigations in biomedical sciences.
 
Overall design Examination of SC3-seq form 5 serially diluted mESC total RNA.
Examination of 38 individual blastocyst single cells
Examination of hiPSC on SNL or feeder-free at single cell level.
 
Contributor(s) Nakamura T, Yabuta Y, Okamoto I, Aramaki S, Yokobayashi S, Kurimoto K, Sekiguchi K, Nakagawa M, Yamamoto T, Saitou M
Citation(s) 25722368
Submission date Nov 13, 2014
Last update date May 15, 2019
Contact name Yukihiro Yabuta
E-mail(s) yabyab@anat2.med.kyoto-u.ac.jp
Organization name Kyoto University, Graduate school of medicine
Department Anatomy and Cell Biology
Street address Yoshida-Konoe-cho, Sakyo-ku
City Kyoto
State/province Kyoto
ZIP/Postal code 606-8501
Country Japan
 
Platforms (2)
GPL15907 AB 5500xl Genetic Analyzer (Mus musculus)
GPL16288 AB 5500xl Genetic Analyzer (Homo sapiens)
Samples (98)
GSM1544684 MS01T01
GSM1544685 MS01T02
GSM1544686 MS01T03
Relations
BioProject PRJNA267121
SRA SRP049771

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
GSE63266_MS01_t01-t32.txt.gz 1.6 Mb (ftp)(http) TXT
GSE63266_MS04_t18-t64.txt.gz 1.5 Mb (ftp)(http) TXT
GSE63266_MS04_t65-t95.txt.gz 1.3 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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