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RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection.

Kemal AvicanJehad AldahdoohMatteo TogninalliA K M Firoj MahmudJing TangKarsten M BorgwardtMikael RhenMaria Fällman
Published in: Nature communications (2021)
Bacterial processes necessary for adaption to stressful host environments are potential targets for new antimicrobials. Here, we report large-scale transcriptomic analyses of 32 human bacterial pathogens grown under 11 stress conditions mimicking human host environments. The potential relevance of the in vitro stress conditions and responses is supported by comparisons with available in vivo transcriptomes of clinically important pathogens. Calculation of a probability score enables comparative cross-microbial analyses of the stress responses, revealing common and unique regulatory responses to different stresses, as well as overlapping processes participating in different stress responses. We identify conserved and species-specific 'universal stress responders', that is, genes showing altered expression in multiple stress conditions. Non-coding RNAs are involved in a substantial proportion of the responses. The data are collected in a freely available, interactive online resource (PATHOgenex).
Keyphrases
  • endothelial cells
  • induced pluripotent stem cells
  • stress induced
  • gram negative
  • poor prognosis
  • machine learning
  • genome wide
  • electronic health record
  • long non coding rna
  • deep learning