Transcription profiling of Pseudomonas treated with azithromycin-treated vs. untreated

ChEBI2008-06-12 更新2026-07-21 收录

细菌转录组学

假单胞菌药物响应

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-2430 数据链接链接失效反馈

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资源简介：

Transcription profiling of Pseudomonas treated with azithromycin-treated vs. untreated

创建时间：

2008-06-12

Porphyromonas gingivalis ATCC 33277 Transcriptome or Gene expression

细菌转录组学

基因表达分析

Total RNA for deep sequencing was isolated by using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's protocol, with some modifications. Each sample added 300 ul TRIzol (I

NIAID Data Ecosystem30

In-Vivo Expression Profiling of Pseudomonas aeruginosa Infections Reveals Niche-Specific and Strain-Independent Transcriptional Programs. Pseudomonas aeruginosa

细菌转录组学

铜绿假单胞菌毒力机制

Pseudomonas aeruginosa is a threatening, opportunistic pathogen causing disease in immunocompromised individuals. The hallmark of P. aeruginosa virulence is its multi-factorial and combinatorial natur

NIAID Data Ecosystem20

Rhizobium leguminosarum Stf07 transcriptome - Stf07_Hg1

细菌转录组学

金属胁迫响应

Rhizobium leguminosarum Stf07 transcriptome; Hg treated

NIAID Data Ecosystem00

Global transcriptional response of Methylorubrum extorquens to formaldehyde stress includes both overlapping and unique gene sets in comparison to antibiotic translational inhibition and expands the role of EfgA. Global transcriptional response of Methylorubrum extorquens to formaldehyde stress includes both overlapping and unique gene sets in comparison to antibiotic translational inhibition and expands the role of EfgA

细菌转录组学

甲醛应激响应

The potency and indiscriminate nature of formaldehyde reactivity upon biological molecules make it a universal stressor. However, some organisms such as Methylorubrum extorquens possess means to rapid

NIAID Data Ecosystem30

Fibrobacter succinogenes S85 glucose max G20-3 Transcriptome

细菌转录组学

纤维杆菌糖代谢

Transcriptomic analysis of Fibrobacter succinogenes S85 strain during steady-state growth on glucose at maximum growth rate

NIAID Data Ecosystem00