Data on low-molecular weight proteins of Escherichia coli treated by essential oils components, tetracycline, chlorine and peroxide by MALDI-TOF MS

. 2018 Dec ; 21 () : 962-965. [epub] 20181023

Status PubMed-not-MEDLINE Jazyk angličtina Země Nizozemsko Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid30426052
Odkazy

PubMed 30426052
PubMed Central PMC6222066
DOI 10.1016/j.dib.2018.10.050
PII: S2352-3409(18)31267-8
Knihovny.cz E-zdroje

In this dataset we provide MALDI-TOF MS spectra of Escherichia coli. The data presented in this article are related to the article entitled "Stress response of Escherichia coli to essential oil components - insights on low-molecular-weight proteins from MALDI-TOF" (Božik et al., 2018) [1]. Essential oils and their components are known for their antibacterial effect. Many studies evaluated the effect of essential oil components (EOCs) on the cell wall, bacterial membranes, and energetic metabolism. But data about low molecular weight proteins (<20 kDa) are limited. Provided data are focused on bacterial response to EOCs; tetracycline, peroxide and chlorine was used as control as common antibiotic and disinfectant agents used against bacteria. These data describe the effect of tested substances to bacterial protein synthesis.

Zobrazit více v PubMed

Božik M., Cejnar P., Šašková M., Nový P., Maršík P., Klouček P. Stress response of Escherichia coli to essential oil components – insights on low-molecular-weight proteins from MALDI-TOF. Sci. Rep. 2018;8:13042. PubMed PMC

Migliore L., Rotini A., Thaller M.C. Low doses of tetracycline trigger the E. coli growth: a case of hormetic response. Dose Response. 2013;11 PubMed PMC

Zubko E.I., Zubko M.K. Co-operative inhibitory effects of hydrogen peroxide and iodine against bacterial and yeast species. BMC Res. Notes. 2013;6:272. PubMed PMC

Cejnar P., Kuckova S., Prochazka A., Karamonova L., Svobodova B. Principal component analysis of normalized full spectrum mass spectrometry data in multiMS-toolbox: an effective tool to identify important factors for classification of different metabolic patterns and bacterial strains. Rapid Commun. Mass Spectrom. 2018 PubMed

Hrdlickova Kuckova S., Rambouskova G., Hynek R., Cejnar P., Oltrogge D., Fuchs R. Evaluation of mass spectrometric data using principal component analysis for determination of the effects of organic lakes on protein binder identification. J. Mass Spectrom. 2015;50:1270–1278. PubMed

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