Purpose: The goal of this study was to use RNA Seq to explore whether and to what extent genetic heterogeneity would shape the transcriptional profile in the environment of the CF lung Methods : mRNA

NIAID Data Ecosystem50

Longitudinal analysis of the group A Streptococcus transcriptome

病原体转录组

宿主-病原体相互作用

Identification of the genetic events that contribute to host-pathogen interactions is important for understanding the natural history of infectious diseases and developing therapeutics. Transcriptome

NIAID Data Ecosystem40

HapX positively and negatively regulates the transcriptional response to iron deprivation in Cryptococcus neoformans. Cryptococcus neoformans

微生物铁代谢调控

病原体转录组

Analysis of the transcriptional response of C. neoformans WT, cir1 mutant, hap3 mutant and hapX mutant to different iron sources. Overall design: The following experimental design was adopted for the

NIAID Data Ecosystem50

Transcriptome profiling of Listeria monocytogenes during growth on a RTE-meat matrix

病原体转录组

微生物适应性

The gene expression profiles of L. monocytogenes strain F2365 grown in BHI agar (reference) or on a turkey deli meat (query) was examined. Aminosilane-coated cDNA microarray slide was used. The data f

NIAID Data Ecosystem40

Transcriptional profile of Candida albicans during Hypoxic conditions.

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