Proteomics

Dataset Information

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Proteomic analysis of E. coli K-12 LE392, P. putida KT2440 under exposure of six non-antibiotic pharmaceuticals


ABSTRACT: The goals of this study are to use SWATH-MS to detect bacterial proteomic profiles of E. coli K-12 LE392 with conjugative RP4 plasmid, P. putida KT2440, and their protein response under the exposure of six kinds of non-antibiotic pharmaceuticals, i.e., ibuprofen (ibu), naproxen (nap), gemfibrozil (gem), iopromide (iop), diclofenac (dic), propanolol (pro). Each treatment condition was conducted in triplicate. By comparing the proteomic profiles of experimental groups and control group, the effects of these non-antibiotic pharmaceuticals on translational levels can be revealed.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Escherichia Coli Pseudomonas Putida Kt2440

TISSUE(S): Cell Culture

SUBMITTER: Jianhua Guo  

LAB HEAD: Jianhua Guo

PROVIDER: PXD012642 | Pride | 2022-02-15

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
YueResults.group Other
Yue_Control_IDA.mzML Mzml
Yue_Control_SWATH_Replicate1.mzML Mzml
Yue_Control_SWATH_Replicate2.mzML Mzml
Yue_Control_SWATH_Replicate3.mzML Mzml
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Publications

Non-antibiotic pharmaceuticals promote the transmission of multidrug resistance plasmids through intra- and intergenera conjugation.

Wang Yue Y   Lu Ji J   Zhang Shuai S   Li Jie J   Mao Likai L   Yuan Zhiguo Z   Bond Philip L PL   Guo Jianhua J  

The ISME journal 20210310 9


Antibiotic resistance is a global threat to public health. The use of antibiotics at sub-inhibitory concentrations has been recognized as an important factor in disseminating antibiotic resistance via horizontal gene transfer. Although non-antibiotic, human-targeted pharmaceuticals are widely used by society (95% of the pharmaceuticals market), the potential contribution to the spread of antibiotic resistance is not clear. Here, we report that commonly consumed, non-antibiotic pharmaceuticals, i  ...[more]

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