IR@PKUHSC  > 北京大学第三临床医学院
学科主题临床医学
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
Yan, Liying1,2,3; Yang, Mingyu1,2; Guo, Hongshan1,2; Yang, Lu1,2; Wu, Jun1,2; Li, Rong1,2,3; Liu, Ping1,2; Lian, Ying1,2; Zheng, Xiaoying1,2; Yan, Jie1,2; Huang, Jin1,2; Li, Ming1,2; Wu, Xinglong1,2; Wen, Lu1,2; Lao, Kaiqin4; Li, Ruiqiang1,2,5; Qiao, Jie1,2,3; Tang, Fuchou1,2
刊名NATURE STRUCTURAL & MOLECULAR BIOLOGY
2013-09-01
DOI10.1038/nsmb.2660
20期:9页:1131-+
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Biochemistry & Molecular Biology ; Biophysics ; Cell Biology
资助者National Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Funds for Distinguished Young Scholar ; National Science Foundation of China ; National Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Funds for Distinguished Young Scholar ; National Science Foundation of China
研究领域[WOS]Biochemistry & Molecular Biology ; Biophysics ; Cell Biology
关键词[WOS]LONG NONCODING RNAS ; GENE-EXPRESSION PROFILES ; TRANSCRIPTOME ANALYSIS ; HUMAN TROPHECTODERM ; BLASTOCYST ; GENOME ; MOUSE ; PLURIPOTENCY ; DERIVATION ; ALIGNMENT
英文摘要

Measuring gene expression in individual cells is crucial for understanding the gene regulatory network controlling human embryonic development. Here we apply single-cell RNA sequencing (RNA-Seq) analysis to 124 individual cells from human preimplantation embryos and human embryonic stem cells (hESCs) at different passages. The number of maternally expressed genes detected in our data set is 22,687, including 8,701 long noncoding RNAs (lncRNAs), which represents a significant increase from 9,735 maternal genes detected previously by cDNA microarray. We discovered 2,733 novel lncRNAs, many of which are expressed in specific developmental stages. To address the long-standing question whether gene expression signatures of human epiblast (EPI) and in vitro hESCs are the same, we found that EPI cells and primary hESC outgrowth have dramatically different transcriptomes, with 1,498 genes showing differential expression between them. This work provides a comprehensive framework of the transcriptome landscapes of human early embryos and hESCs.

语种英语
所属项目编号2012CB966704 ; 2011CB966303 ; 2011CB944500 ; 31271543 ; 30825038 ; 81000275
资助者National Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Funds for Distinguished Young Scholar ; National Science Foundation of China ; National Basic Research Program of China ; National Natural Science Foundation of China ; National Natural Science Funds for Distinguished Young Scholar ; National Science Foundation of China
WOS记录号WOS:000324160900018
Citation statistics
Cited Times:370[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/68231
Collection北京大学第三临床医学院
作者单位1.Peking Univ, Hosp 3, Coll Life Sci, Biodynam Opt Imaging Ctr, Beijing 100871, Peoples R China
2.Peking Univ, Hosp 3, Coll Life Sci, Ctr Reprod Med, Beijing 100871, Peoples R China
3.Minist Educ, Key Lab Assisted Reprod, Beijing, Peoples R China
4.Life Technol, Appl Biosyst, Genet Syst, Foster City, CA USA
5.Peking Univ, Coll Life Sci, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Yan, Liying,Yang, Mingyu,Guo, Hongshan,et al. Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells[J]. NATURE STRUCTURAL & MOLECULAR BIOLOGY,2013,20(9):1131-+.
APA Yan, Liying.,Yang, Mingyu.,Guo, Hongshan.,Yang, Lu.,Wu, Jun.,...&Tang, Fuchou.(2013).Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.NATURE STRUCTURAL & MOLECULAR BIOLOGY,20(9),1131-+.
MLA Yan, Liying,et al."Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells".NATURE STRUCTURAL & MOLECULAR BIOLOGY 20.9(2013):1131-+.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
谷歌学术
谷歌学术Similar articles in
[Yan, Liying]'s Articles
[Yang, Mingyu]'s Articles
[Guo, Hongshan]'s Articles
百度学术
百度学术Similar articles in
[Yan, Liying]'s Articles
[Yang, Mingyu]'s Articles
[Guo, Hongshan]'s Articles
必应学术
必应学术Similar articles in
[Yan, Liying]'s Articles
[Yang, Mingyu]'s Articles
[Guo, Hongshan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.