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Series GSE121013 Query DataSets for GSE121013
Status Public on Jun 01, 2019
Title De novo assembled individual genome does not show advantage against standard reference genome: a demonstration of Chinese Han Population
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We compared standard human reference genome GRCh38 and de novo assembled reference genome HX1 in precision medicine applications for specific ethnics. In order to quantify the HX1 misassembled genes and HX1-specific contigs, we performed RNA-seq and RNC-seq on hepatocellular carcinoma cell lines (MHCC97H, MHCCLM3 and MHCCLM6) which were derived from Chinese Han individuals. In which, RNC-seq datasets of MHCC97H and MHCCLM3 had been published. We found that a considerable fraction of HX1 misassembled genes was expressed in the Chinese Han samples. Furthermore, we found no HX1-specific contigs yielded more than 2.27 FPKM (minimun FPKM of 1 copy/cell transcript) in the Chinese Han sampels.
 
Overall design RNA-seq of MHCC97H, MHCCLM3 and MHCCLM6. RNC-seq of MHCCLM6.
 
Contributor(s) Zhibiao M
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Submission date Oct 09, 2018
Last update date Jun 03, 2019
Contact name Zhibiao Mai
E-mail(s) [email protected]
Organization name Jinan University
Department Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering
Lab 920
Street address Huang-Pu Avenue West 601
City Guangzhou
State/province Guangdong
ZIP/Postal code 510632
Country China
 
Platforms (1)
GPL20795 HiSeq X Ten (Homo sapiens)
Samples (4)
GSM3423946 MHCC97H_RNA-seq
GSM3423947 MHCCLM3_RNA-seq
GSM3423948 MHCCLM6_RNA-seq
Relations
BioProject PRJNA495351
SRA SRP164731

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
GSE121013_RAW.tar 3.9 Mb (http)(custom) TAR (of XLSX)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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