A highly multiplexed and sensitive RNA-seq protocol for simultaneous analysis of host and pathogen transcriptomes

被引:0
|
作者
Roi Avraham
Nathan Haseley
Amy Fan
Zohar Bloom-Ackermann
Jonathan Livny
Deborah T Hung
机构
[1] Broad Institute of MIT and Harvard,Department of Medicine
[2] Brigham and Women's Hospital,Department of Molecular Biology
[3] Harvard Medical School,Department of Microbiology and Immunobiology
[4] Massachusetts General Hospital,undefined
[5] Center for Computational and Integrative Biology,undefined
[6] Massachusetts General Hospital,undefined
[7] Harvard Medical School,undefined
[8] Present address: Department of Biological Regulation,undefined
[9] Weizmann Institute of Science,undefined
[10] Rehovot,undefined
[11] Israel.,undefined
来源
Nature Protocols | 2016年 / 11卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This protocol enables simultaneous analysis of host and bacterial transcripts by RNA-seq. It includes procedures for efficient host and bacterial cell lysis, barcoding of samples and analysis of both mammalian and microbial reads from mixed host–pathogen RNA-seq data.
引用
收藏
页码:1477 / 1491
页数:14
相关论文
共 50 条
  • [31] RNA-seq data of control and powdery mildew pathogen (Golovinomyces orontii) treated transcriptomes of Helianthus niveus
    Sujatha, Mulpuri
    Ulaganathan, Kandasamy
    Bhanu, Bhupatipalli Divya
    Soni, Prashant Kumar
    DATA IN BRIEF, 2018, 17 : 210 - 217
  • [32] Necklace: combining reference and assembled transcriptomes for more comprehensive RNA-Seq analysis
    Davidson, Nadia M.
    Oshlack, Alicia
    GIGASCIENCE, 2018, 7 (05):
  • [33] Genome-wide RNA-seq analysis of human and mouse platelet transcriptomes
    Rowley, Jesse W.
    Oler, Andrew J.
    Tolley, Neal D.
    Hunter, Benjamin N.
    Low, Elizabeth N.
    Nix, David A.
    Yost, Christian C.
    Zimmerman, Guy A.
    Weyrich, Andrew S.
    BLOOD, 2011, 118 (14) : E101 - E111
  • [34] RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
    Ramirez, Miguel
    Alejandro Rojas-Quintero, Cristian
    Enrique Vera-Parra, Nelson
    2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2015,
  • [35] Pathogen detection in RNA-seq data with Pathonoia
    Anna-Maria Liebhoff
    Kevin Menden
    Alena Laschtowitz
    Andre Franke
    Christoph Schramm
    Stefan Bonn
    BMC Bioinformatics, 24
  • [36] Pathogen detection in RNA-seq data with Pathonoia
    Liebhoff, Anna-Maria
    Menden, Kevin
    Laschtowitz, Alena
    Franke, Andre
    Schramm, Christoph
    Bonn, Stefan
    BMC BIOINFORMATICS, 2023, 24 (01)
  • [37] Dual Host and Pathogen RNA-Seq Analysis Unravels Chicken Genes Potentially Involved in Resistance to Highly Pathogenic Avian Influenza Virus Infection
    Perlas, Albert
    Argilaguet, Jordi
    Bertran, Kateri
    Sanchez-Gonzalez, Raul
    Nofrarias, Miquel
    Valle, Rosa
    Ramis, Antonio
    Cortey, Marti
    Majo, Natalia
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [38] RNA-seq in kinetoplastids: A powerful tool for the understanding of the biology and host-pathogen interactions
    Helena Patino, Luz
    David Ramirez, Juan
    INFECTION GENETICS AND EVOLUTION, 2017, 49 : 273 - 282
  • [39] A bioinformatics approach to distinguish plant parasite and host transcriptomes in interface tissue by classifying RNA-Seq reads
    Daisuke Ikeue
    Christian Schudoma
    Wenna Zhang
    Yoshiyuki Ogata
    Tomoaki Sakamoto
    Tetsuya Kurata
    Takeshi Furuhashi
    Friedrich Kragler
    Koh Aoki
    Plant Methods, 11
  • [40] A bioinformatics approach to distinguish plant parasite and host transcriptomes in interface tissue by classifying RNA-Seq reads
    Ikeue, Daisuke
    Schudoma, Christian
    Zhang, Wenna
    Ogata, Yoshiyuki
    Sakamoto, Tomoaki
    Kurata, Tetsuya
    Furuhashi, Takeshi
    Kragler, Friedrich
    Aoki, Koh
    PLANT METHODS, 2015, 11