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Bioinformatic analysis of bacteria and host cell dual RNA-sequencing experiments.
Marsh, James W; Hayward, Regan J; Shetty, Amol C; Mahurkar, Anup; Humphrys, Michael S; Myers, Garry S A.
Afiliación
  • Marsh JW; The ithree institute, University of Technology Sydney.
  • Hayward RJ; The ithree institute, University of Technology Sydney.
  • Shetty AC; Institute for Genome Sciences at the University of Maryland, Baltimore.
  • Mahurkar A; Institute for Genome Sciences at the University of Maryland, Baltimore.
  • Humphrys MS; Institute for Genome Sciences at the University of Maryland, Baltimore.
  • Myers GSA; The ithree institute, University of Technology Sydney.
Brief Bioinform ; 19(6): 1115-1129, 2018 11 27.
Article en En | MEDLINE | ID: mdl-28535295
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN Bacteriano / Chlamydia trachomatis / Análisis de Secuencia de ARN / Biología Computacional / Interacciones Huésped-Patógeno Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ARN Bacteriano / Chlamydia trachomatis / Análisis de Secuencia de ARN / Biología Computacional / Interacciones Huésped-Patógeno Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article