The Staphylococcus aureus Transcriptome during Cystic Fibrosis Lung Infection.

ABSTRACT: Laboratory models have been invaluable for the field of microbiology for over 100 years and have provided key insights into core aspects of bacterial physiology such as regulation and metabolism. However, it is important to identify the extent to which these models recapitulate bacterial physiology within a human infection environment. Here, we performed transcriptomics (RNA-seq), focusing on the physiology of the prominent pathogen Staphylococcus aureusin situ in human cystic fibrosis (CF) infection. Through principal-component and hierarchal clustering analyses, we found remarkable conservation in S. aureus gene expression in the CF lung despite differences in the patient clinic, clinical status, age, and therapeutic regimen. We used a machine learning approach to id

SUBMITTER: Ibberson CB 

PROVIDER: S-EPMC6867902 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature