Group A Streptococcus Transcriptome Analysis.
Base Composition
/ genetics
Base Sequence
/ genetics
Computational Biology
/ methods
Gene Expression Profiling
/ methods
Genome
/ genetics
Genomics
/ methods
High-Throughput Nucleotide Sequencing
/ methods
Humans
RNA
/ genetics
RNA, Ribosomal
/ genetics
Sequence Analysis, RNA
/ methods
Software
Streptococcus pyogenes
/ genetics
Transcriptome
/ genetics
Differential gene expression
Global gene expression
Group A Streptococcus
RNA sequencing
RNA-seq
Streptococcus pyogenes
Transcriptome
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
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