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Series GSE65364 Query DataSets for GSE65364
Status Public on Mar 01, 2016
Title Single Cell triple omics sequencing reveals genetic and epigenetic heterogeneity in hepatocellular carcinoma
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Methylation profiling by high throughput sequencing
Summary Single cell genome, DNA methylome, and transcriptome sequencing has been achieved separately. However, to analyze the regulation of RNA expression by genetic and epigenetic factors within an individual cell, it is necessary to analyze these omics simultaneously from the same single cell. Here we developed a single cell triple omics sequencing technique- scTrio-seq, to analyze the genome, DNA methylome, and transcriptome concurrently of a mammalian cell.
Overall design 6 single human HepG2 cell line cells were sequenced using the newly developed scTrio-seq, other 2 HepG2 cells were sequenced using scRNA-seq and other 2 HepG2 cells were sequenced using scRRBS as technique control. 6 single mouse embryonic stem cells (mESCs) were sequenced using the newly developted scTrio-seq. Meanwhile, two scRNA-seq and two scRRBS were also completed using two mESCs separately. 26 single cells from hepatocellular carcinoma were sequenced using scTrio-seq to analyze the regulation relations between three omics of cancer cells.
Contributor(s) Hou Y, Tang F, Huang Y, Peng J
Citation(s) 26902283
Submission date Jan 28, 2015
Last update date May 15, 2019
Contact name Yu Hou
Organization name Peking University
Department School of life sciences
Lab Fuchou Tang
Street address No.5 Yiheyuan Street
City Beijing
State/province Beijing
ZIP/Postal code 100871
Country China
Platforms (4)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (95)
GSM1593762 liver_bulk_genome
GSM1593763 liver_bulk_RRBS
GSM1593764 cancer_bulk_genome
BioProject PRJNA273802
SRA SRP052901

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Supplementary file Size Download File type/resource
GSE65364_RAW.tar 288.6 Mb (http)(custom) TAR (of TXT)
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Raw data are available in SRA
Processed data provided as supplementary file

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