Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells

被引:1309
作者
Yan, Liying [1 ,2 ,3 ]
Yang, Mingyu [1 ,2 ]
Guo, Hongshan [1 ,2 ]
Yang, Lu [1 ,2 ]
Wu, Jun [1 ,2 ]
Li, Rong [1 ,2 ,3 ]
Liu, Ping [1 ,2 ]
Lian, Ying [1 ,2 ]
Zheng, Xiaoying [1 ,2 ]
Yan, Jie [1 ,2 ]
Huang, Jin [1 ,2 ]
Li, Ming [1 ,2 ]
Wu, Xinglong [1 ,2 ]
Wen, Lu [1 ,2 ]
Lao, Kaiqin [4 ]
Li, Ruiqiang [1 ,2 ,5 ]
Qiao, Jie [1 ,2 ,3 ]
Tang, Fuchou [1 ,2 ]
机构
[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
基金
国家杰出青年科学基金; 中国国家自然科学基金; 美国国家科学基金会;
关键词
GENE-EXPRESSION; TRANSCRIPTOME ANALYSIS; HUMAN TROPHECTODERM; NONCODING RNAS; PLURIPOTENCY; ALIGNMENT; EPIBLAST; REVEALS; MASS; ANNOTATION;
D O I
10.1038/nsmb.2660
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
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.
引用
收藏
页码:1131 / +
页数:12
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