Comprehensive comparative analysis of 5′-end RNA-sequencing methods

被引:0
|
作者
Xian Adiconis
Adam L. Haber
Sean K. Simmons
Ami Levy Moonshine
Zhe Ji
Michele A. Busby
Xi Shi
Justin Jacques
Madeline A. Lancaster
Jen Q. Pan
Aviv Regev
Joshua Z. Levin
机构
[1] Broad Institute of MIT and Harvard,Klarman Cell Observatory
[2] Broad Institute of MIT and Harvard,Stanley Center for Psychiatric Research
[3] Broad Institute of MIT and Harvard,Laboratory of Molecular Biology
[4] Medical Research Council,Department of Biology, Howard Hughes Medical Institute
[5] Massachusetts Institute of Technology,The David H. Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology, Department of Biology
[6] Massachusetts Institute of Technology,undefined
来源
Nature Methods | 2018年 / 15卷
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学科分类号
摘要
Specialized RNA-seq methods are required to identify the 5′ ends of transcripts, which are critical for studies of gene regulation, but these methods have not been systematically benchmarked. We directly compared six such methods, including the performance of five methods on a single human cellular RNA sample and a new spike-in RNA assay that helps circumvent challenges resulting from uncertainties in annotation and RNA processing. We found that the ‘cap analysis of gene expression’ (CAGE) method performed best for mRNA and that most of its unannotated peaks were supported by evidence from other genomic methods. We applied CAGE to eight brain-related samples and determined sample-specific transcription start site (TSS) usage, as well as a transcriptome-wide shift in TSS usage between fetal and adult brain.
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页码:505 / 511
页数:6
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