生物
转录组
计算生物学
RNA序列
基因
核糖核酸
合子
体细胞
基因表达
抄写(语言学)
单细胞分析
细胞
联营
细胞生物学
遗传学
胚胎发生
计算机科学
语言学
哲学
人工智能
作者
Tamar Hashimshony,Florian Wagner,Noa Sher,Itai Yanai
出处
期刊:Cell Reports
[Elsevier]
日期:2012-09-01
卷期号:2 (3): 666-673
被引量:1081
标识
DOI:10.1016/j.celrep.2012.08.003
摘要
High-throughput sequencing has allowed for unprecedented detail in gene expression analyses, yet its efficient application to single cells is challenged by the small starting amounts of RNA. We have developed CEL-Seq, a method for overcoming this limitation by barcoding and pooling samples before linearly amplifying mRNA with the use of one round of in vitro transcription. We show that CEL-Seq gives more reproducible, linear, and sensitive results than a PCR-based amplification method. We demonstrate the power of this method by studying early C. elegans embryonic development at single-cell resolution. Differential distribution of transcripts between sister cells is seen as early as the two-cell stage embryo, and zygotic expression in the somatic cell lineages is enriched for transcription factors. The robust transcriptome quantifications enabled by CEL-Seq will be useful for transcriptomic analyses of complex tissues containing populations of diverse cell types.
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