Literature DB >> 28535295

Bioinformatic analysis of bacteria and host cell dual RNA-sequencing experiments.

James W Marsh1, Regan J Hayward1, Amol C Shetty2, Anup Mahurkar2, Michael S Humphrys2, Garry S A Myers1.   

Abstract

Bacterial pathogens subvert host cells by manipulating cellular pathways for survival and replication; in turn, host cells respond to the invading pathogen through cascading changes in gene expression. Deciphering these complex temporal and spatial dynamics to identify novel bacterial virulence factors or host response pathways is crucial for improved diagnostics and therapeutics. Dual RNA sequencing (dRNA-Seq) has recently been developed to simultaneously capture host and bacterial transcriptomes from an infected cell. This approach builds on the high sensitivity and resolution of RNA sequencing technology and is applicable to any bacteria that interact with eukaryotic cells, encompassing parasitic, commensal or mutualistic lifestyles. Several laboratory protocols have been presented that outline the collection, extraction and sequencing of total RNA for dRNA-Seq experiments, but there is relatively little guidance available for the detailed bioinformatic analyses required. This protocol outlines a typical dRNA-Seq experiment, based on a Chlamydia trachomatis-infected host cell, with a detailed description of the necessary bioinformatic analyses with currently available software tools.

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Year:  2018        PMID: 28535295      PMCID: PMC6291798          DOI: 10.1093/bib/bbx043

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  71 in total

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Authors:  Sonia Tarazona; Fernando García-Alcalde; Joaquín Dopazo; Alberto Ferrer; Ana Conesa
Journal:  Genome Res       Date:  2011-09-08       Impact factor: 9.043

2.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

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

Authors:  Roi Avraham; Nathan Haseley; Amy Fan; Zohar Bloom-Ackermann; Jonathan Livny; Deborah T Hung
Journal:  Nat Protoc       Date:  2016-07-21       Impact factor: 13.491

4.  Differential analysis of gene regulation at transcript resolution with RNA-seq.

Authors:  Cole Trapnell; David G Hendrickson; Martin Sauvageau; Loyal Goff; John L Rinn; Lior Pachter
Journal:  Nat Biotechnol       Date:  2012-12-09       Impact factor: 54.908

5.  Highly integrated single-base resolution maps of the epigenome in Arabidopsis.

Authors:  Ryan Lister; Ronan C O'Malley; Julian Tonti-Filippini; Brian D Gregory; Charles C Berry; A Harvey Millar; Joseph R Ecker
Journal:  Cell       Date:  2008-05-02       Impact factor: 41.582

6.  GC-content normalization for RNA-Seq data.

Authors:  Davide Risso; Katja Schwartz; Gavin Sherlock; Sandrine Dudoit
Journal:  BMC Bioinformatics       Date:  2011-12-17       Impact factor: 3.169

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

8.  NVT: a fast and simple tool for the assessment of RNA-seq normalization strategies.

Authors:  Thomas Eder; Florian Grebien; Thomas Rattei
Journal:  Bioinformatics       Date:  2016-08-11       Impact factor: 6.937

9.  Massive transcriptional start site analysis of human genes in hypoxia cells.

Authors:  Katsuya Tsuchihara; Yutaka Suzuki; Hiroyuki Wakaguri; Takuma Irie; Kousuke Tanimoto; Shin-ichi Hashimoto; Kouji Matsushima; Junko Mizushima-Sugano; Riu Yamashita; Kenta Nakai; David Bentley; Hiroyasu Esumi; Sumio Sugano
Journal:  Nucleic Acids Res       Date:  2009-02-22       Impact factor: 16.971

10.  Simultaneous transcriptional profiling of bacteria and their host cells.

Authors:  Michael S Humphrys; Todd Creasy; Yezhou Sun; Amol C Shetty; Marcus C Chibucos; Elliott F Drabek; Claire M Fraser; Umar Farooq; Naomi Sengamalay; Sandy Ott; Huizhong Shou; Patrik M Bavoil; Anup Mahurkar; Garry S A Myers
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

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  7 in total

1.  Stress responses, M2 macrophages, and a distinct microbial signature in fatal intestinal acute graft-versus-host disease.

Authors:  Shernan G Holtan; Ashraf Shabaneh; Brian C Betts; Armin Rashidi; Margaret L MacMillan; Celalletin Ustun; Khalid Amin; Byron P Vaughn; Justin Howard; Alexander Khoruts; Mukta Arora; Todd E DeFor; Darrell Johnson; Bruce R Blazar; Daniel J Weisdorf; Jinhua Wang
Journal:  JCI Insight       Date:  2019-08-08

2.  Early Transcriptional Landscapes of Chlamydia trachomatis-Infected Epithelial Cells at Single Cell Resolution.

Authors:  Regan J Hayward; James W Marsh; Michael S Humphrys; Wilhelmina M Huston; Garry S A Myers
Journal:  Front Cell Infect Microbiol       Date:  2019-11-19       Impact factor: 5.293

3.  Dual transcriptomic analysis reveals metabolic changes associated with differential persistence of human pathogenic bacteria in leaves of Arabidopsis and lettuce.

Authors:  Cristián Jacob; André C Velásquez; Nikhil A Josh; Matthew Settles; Sheng Yang He; Maeli Melotto
Journal:  G3 (Bethesda)       Date:  2021-12-08       Impact factor: 3.154

Review 4.  Steroid-Refractory Gut Graft-Versus-Host Disease: What We Have Learned From Basic Immunology and Experimental Mouse Model.

Authors:  Qingxiao Song; Ubaydah Nasri; Defu Zeng
Journal:  Front Immunol       Date:  2022-02-18       Impact factor: 7.561

Review 5.  Role of main RNA modifications in cancer: N6-methyladenosine, 5-methylcytosine, and pseudouridine.

Authors:  Chen Xue; Qingfei Chu; Qiuxian Zheng; Shiman Jiang; Zhengyi Bao; Yuanshuai Su; Juan Lu; Lanjuan Li
Journal:  Signal Transduct Target Ther       Date:  2022-04-28

6.  A Laboratory Methodology for Dual RNA-Sequencing of Bacteria and their Host Cells In Vitro.

Authors:  James W Marsh; Michael S Humphrys; Garry S A Myers
Journal:  Front Microbiol       Date:  2017-09-21       Impact factor: 5.640

7.  Molecular insights into the mechanisms of susceptibility of Labeo rohita against oomycete Aphanomyces invadans.

Authors:  P K Pradhan; Dev Kumar Verma; Luca Peruzza; Shubham Gupta; Syed Assim Haq; Sergei V Shubin; Kenton L Morgan; Franziska Trusch; Vindhya Mohindra; Chris Hauton; Pieter van West; Neeraj Sood
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

  7 in total

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