RNA-Seq analysis to capture the transcriptome landscape of a single cell

被引:382
作者
Tang, Fuchou [1 ]
Barbacioru, Catalin [2 ]
Nordman, Ellen [2 ]
Li, Bin [2 ]
Xu, Nanlan [2 ]
Bashkirov, Vladimir I. [2 ]
Lao, Kaiqin [2 ]
Surani, M. Azim [1 ]
机构
[1] Univ Cambridge, Wellcome Trust Canc Res UK Gurdon Inst Canc & Dev, Cambridge, England
[2] Appl Biosyst Inc, Genet Syst, Foster City, CA USA
基金
英国医学研究理事会; 英国惠康基金;
关键词
OLIGONUCLEOTIDE MICROARRAY ANALYSIS; MOUSE PREIMPLANTATION DEVELOPMENT; GENE-EXPRESSION PATTERNS; MESSENGER-RNA; NUCLEOTIDE RESOLUTION; CDNA AMPLIFICATION; ARRAYS; NOISE; STEM; CONSEQUENCES;
D O I
10.1038/nprot.2009.236
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We describe here a protocol for digital transcriptome analysis in a single mouse oocyte and blastomere using a deep-sequencing approach. In this method, individual cells are isolated and transferred into lysate buffer by mouth pipette, followed by reverse transcription carried out directly on the whole cell lysate. Free primers are removed by exonuclease I and a poly(A) tail is added to the 3' end of the first-strand cDNAs by terminal deoxynucleotidyl transferase. Single-cell cDNAs are then amplified by 20 + 9 cycles of PCR. The resulting 100-200 ng of amplified cDNAs are used to construct a sequencing library, which can be used for deep sequencing using the SOLiD system. Compared with cDNA microarray techniques, our assay can capture up to 75% more genes expressed in early embryos. This protocol can generate deep-sequencing libraries for 16 single-cell samples within 6 d.
引用
收藏
页码:516 / 535
页数:20
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