function and origins of cell-to-cell variability. Different high-throughput methods for single-cell RNA-seq have been introduced that vary in coverage, sensitivity and multiplexing ability. We recently introduced Smart-seq for transcriptome analysis from single cells...
SMART-seq(Switching mechanism at 5’ end of the RNA transcript)是一项具里程碑意义的技术,相比于10x Genomics单细胞转录组测序技术只捕获转录本的 3’ 端序列,SMART-seq技术能够覆盖完整的转录本,从而在表达分析的基础上,进一步实现可变剪切和SNV检测等深入研究,是10x Genomics单细胞转录组技术的有益补充。这项...
Full-length RNA-seq from single cells using Smart-seq2 Simone Picelli Omid R Faridani Rickard Sandberg Nature ProtocolsProtocol02 Jan 2014 Nature Methods (Nat Methods)ISSN1548-7105(online)ISSN1548-7091(print) Sign up for theNature Briefingnewsletter — what matters in science, free to your inbox...
Smart-seq2技术在单细胞水平对带Poly(A)的RNA进行全长转录组扩增及高通量测序,能够满足高灵敏度、低偏好性的cDNA扩增,得到全长转录本,实现高水平的序列模板转换。 Smart-seq2技术有较好的覆盖范围,可检测到稀有转录本,无需额外的专业设备,...
2013年，Nature Methods 杂志上报道了 SMART-seq2，该技术是经 SMART-seq 改进的一种测序方法，以提高...
Figure 1 : Improvements in cDNA library yield and length. Figure 2 : Sensitive full-length transcriptome profiling in single cells. Advertisement Citations (775) Associated articles Full-length RNA-seq from single cells using Smart-seq2 Simone Picelliet al.,2014,Nature Protocols...
应用单细胞测序技术研究科学问题越来越普遍,当下应用最火热的是10X Genomics公司的解决方案,但是在某些特殊或者少量细胞样本的单细胞转录组研究中,Smart-seq2技术还是一项研究利器。在Smart-seq2技术基础上衍生的其它单细胞转录组测序技术为某些特殊科学问题提供了解决方案,比如最近发表的mRNA poly(A)尾的多态性研究(Liu...
Here we present a detailed protocol for G&T-seq, a method for separation and parallel sequencing of genomic DNA and full-length polyA(+) mRNA from single cells. We provide step-by-step instructions for the isolation and lysis of ... IC Macaulay,MJ Teng,W Haerty,... - 《Nature Protocol...
Full-length RNA-seq from single cells using Smart-seq2 Protocol Nature Protocols 02 January 2014 Access this article Log in via an institution Buy article PDF USD 39.95 Price includes VAT (Brazil) Instant access to the full article PDF. Rent this article via DeepDyve Institutional subscr...
首先呢,smart-seq2技术依赖于C1这个仪器,每次都是96个细胞一起测序,每个细胞的测序量这个综述可能是写错了,应该是1M-10M为佳,不太可能是100-1000个M,最重要的是它可以覆盖到整个RNA分子的全长测序,每个细胞都是独立的测序,独立的fastq文件哦 。 然后呢,对于10X技术单细胞转录组呢,每次可以测好几千的细胞,每个...