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
关键词
D O I
暂无
中图分类号
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.
引用
收藏
页码:505 / 511
页数:6
相关论文
共 50 条
  • [41] Analysis of Nasal Polyp Neutrophils by Single Cell RNA-Sequencing
    Iwasaki, Naruhito
    Poposki, Julie
    Klinger, Aiko
    Norton, James
    Suh, Lydia
    Stevens, Whitney
    Tan, Bruce
    Peters, Anju
    Grammer, Leslie
    Welch, Kevin
    Smith, Stephanie
    Conley, David
    Kern, Robert
    Schleimer, Robert
    Kato, Atsushi
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2023, 151 (02) : AB218 - AB218
  • [42] Transcriptomic Analysis of Different Stages of Pigeon Ovaries by RNA-Sequencing
    Xu, Xiaoqin
    Zhao, Xuting
    Lu, Lizhi
    Duan, Xiujun
    Qin, Haorong
    Du, Xue
    Li, Guoqin
    Tao, Zhengrong
    Zhong, Shengliang
    Wang, Genlin
    MOLECULAR REPRODUCTION AND DEVELOPMENT, 2016, 83 (07) : 640 - 648
  • [43] Comparative RNA-sequencing analysis of the prostate in a mouse model of benign prostatic hyperplasia with bladder outlet obstruction
    Tang, Xiaohu
    Liu, Zhiyan
    Ren, Jingwen
    Cao, Ying
    Xia, Shujie
    Sun, Zhaolin
    Luo, Guangheng
    MOLECULAR AND CELLULAR BIOCHEMISTRY, 2023, 478 (12) : 2721 - 2737
  • [44] Comparative RNA-sequencing analysis of myocardial and circulating small RNAs in human heart failure and their utility as biomarkers
    Akat, Kemal Marc
    Moore-McGriff, D'Vesharronne
    Morozova, Pavel
    Browna, Miguel
    Gogakos, Tasos
    Da Rosa, Joel Correa
    Mihailovic, Aleksandra
    Sauer, Markus
    Ji, Ruiping
    Ramarathnam, Aarthi
    Totary-Jain, Hana
    Williams, Zev
    Tuschl, Thomas
    Schulze, P. Christian
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (30) : 11151 - 11156
  • [45] COMPARATIVE ANALYSIS OF CLINICALLY AFFECTED AND UNAFFECTED SKIN BIOPSIES FROM SCLERODERMA PATIENTS BASED ON RNA-SEQUENCING
    Makowska, Z.
    Buttgereit, A.
    Babaei, S.
    Limaye, N.
    Galant, C.
    Houssiau, F.
    Weiss, B.
    Lesche, R.
    McDonald, F.
    Lauwerys, B.
    ANNALS OF THE RHEUMATIC DISEASES, 2018, 77 : 742 - 743
  • [46] Combined statistics for differential expression analysis of RNA-sequencing data
    Fanidis, Dionysios
    Moulos, Panagiotis
    2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), 2019, : 170 - 173
  • [47] Small RNA-Sequencing for Analysis of Circulating miRNAs Benchmark Study
    Androvic, Peter
    Benesova, Sarka
    Rohlova, Eva
    Kubista, Mikael
    Valihrach, Lukas
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2022, 24 (04): : 386 - 394
  • [48] Characterization and comparative transcriptomic analysis of high-altitude adaptation in Tibetan chicken using RNA-sequencing
    Zhong, Haian
    Zhu, Li
    Kong, Xiaoyan
    Zhang, Kang
    Tang, Lin
    Zhang, Hao
    Zhang, Bo
    Gou, Xiao
    POULTRY SCIENCE, 2025, 104 (02)
  • [49] REPAC: analysis of alternative polyadenylation from RNA-sequencing data
    Eddie L. Imada
    Christopher Wilks
    Ben Langmead
    Luigi Marchionni
    Genome Biology, 24
  • [50] Power analysis of single-cell RNA-sequencing experiments
    Svensson, Valentine
    Natarajan, Kedar Nath
    Ly, Lam-Ha
    Miragaia, Ricardo J.
    Labalette, Charlotte
    Macaulay, Iain C.
    Cvejic, Ana
    Teichmann, Sarah A.
    NATURE METHODS, 2017, 14 (04) : 381 - +