Group A Streptococcus Transcriptome Analysis.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 21 5 2020
pubmed: 21 5 2020
medline: 9 3 2021
Statut: ppublish

Résumé

Global gene expression analyses in bacteria have undergone a dramatic transformation. Prior to the development of high-throughput sequencing technologies, real-time PCR or microarray studies were the mainstay of assessing differences in gene expression in bacteria. Real-time PCR remains a critical tool for targeted gene expression analyses. However, microarray studies have given way to the plethora of advantages in RNA sequencing (RNA-seq) for the determination of global gene expression (i.e., transcriptome). Increased accessibility to high-throughput sequencing and user-friendly bioinformatics data analysis software have made RNA-seq technology use more widespread. Here, we provide comprehensive methods to perform RNA sequencing of Streptococcus pyogenes strains grown in vitro in standard laboratory media, including cell growth, RNA extraction, ribosomal RNA depletion, and library construction. Considerations for library sequencing and data analysis are also provided.

Identifiants

pubmed: 32430816
doi: 10.1007/978-1-0716-0467-0_8
doi:

Substances chimiques

RNA, Ribosomal 0
RNA 63231-63-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113-133

Auteurs

Misú Sanson (M)

Division of Infectious Diseases, Department of Pediatrics, Center for Antimicrobial Resistance and Microbial Genomics, McGovern Medical School, University of Texas Health Sciences Center at Houston, Houston, TX, USA.

Anthony R Flores (AR)

Division of Infectious Diseases, Department of Pediatrics, Center for Antimicrobial Resistance and Microbial Genomics, McGovern Medical School, University of Texas Health Sciences Center at Houston, Houston, TX, USA. anthony.r.flores@uth.tmc.edu.

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Classifications MeSH