Project description:We acquired the largest bacterial proteomic resource, covering 303 species, 119 genera, and five phyla. The proteome coverage is, on average, over 50%. Additionally, we acquired further datasets for bacterial identification algorithm validation: i) 303 species at a 30-minute gradient (38 samples per day throughput), ii) 303 species at a 10-minute gradient (80 samples per day throughput), iii) reproducibility dataset, iv) genus-specific Pseudomonas spp. dataset (94 Pseudomonas spp. strains), v) genus-specific Bacillus spp. dataset (28 Bacillus cereus s.l. strains), vi) food routine dataset (60 dairy product isolates), and vii) clinical routine dataset (570 clinical isolates).
Project description:We report the banana transcriptome profile in response to two distinct growth-promoting rhizobacteria, Bacillus amyloliquefaciens and Pseudomonas fluorescens. The goal of our study is to identify plant genes differentially regulated by rhizobacteria-plant interaction along time. At the same time, we show that despite these two rhizobacteria regulate distinct sets of genes, the same functional categories has been over-represented, such as transcription factor activity, response to stress and metabolic processes.
2016-04-21 | GSE80495 | GEO
Project description:Wild mice enterotype time course experiment
Project description:The goals of this dual-seq experiment were to 1) identify transcriptional changes between mono-species and dual-species biofilms of Candida albicans and Pseudomonas aeruginosa and 2) identify transcriptional changes within mono- or dual-species P. aeruginosa biofilm cells in response to meropenem treatment.