Transcriptomic profiles of Pseudomonas aeruginosa PAO1 grown in the presence or absence of mucins or mucin-glycans
We use high-throughput sequencing to profile the response of the opportunistic mucosal pathogen Pseudomonas aeruginosa to mucins and mucin-glycans from the mucosal niche. We find that P. aeruginosa undergoes a genome-wide phenotypic shift in response to mucins and their attached glycans. Specifically, nearly all virulence pathways are downregulated in response to these host-produced factors. This study provides a framework for understanding how the host environment regulates bacterial function.
Provenance — who produced it, who reused it
Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently