Analysis of transcript changes in a heme-deficient mutant of Escherichia coli in response to CORM-3 [Ru(CO)3Cl(glycinate)

Genomics Data
Jayne Louise WilsonRobert K Poole

Abstract

This article describes in extended detail the methodology applied for acquisition of transcriptomic data, and subsequent statistical data modelling, published by Wilson et al. (2015) in a study of the effects of carbon monoxide-releasing molecule-3 (CORM-3 [Ru(CO)3Cl(glycinate)]) on heme-deficient bacteria. The objective was to identify non-heme targets of CORM action. Carbon monoxide (CO) interacts with heme-containing proteins, in particular respiratory cytochromes; however, CORMs have been shown to elicit multifaceted effects in bacteria, suggesting that the compounds may have additional targets. We therefore sought to elucidate the activity of CORM-3, the first water-soluble CORM and one of the most characterised CORMs to date, in bacteria devoid of heme synthesis. Importantly, we also tested inactive CORM-3 (iCORM-3), a ruthenium co-ligand fragment that does not release CO, in order to differentiate between CO- and compound-related effects. A well-established hemA mutant of Escherichia coli was used for the study and, for comparison, parallel experiments were performed on the corresponding wild-type strain. Global transcriptomic changes induced by CORM-3 and iCORM-3 were evaluated using a Two-Color Microarray-Based Prokary...Continue Reading

References

Jan 22, 2005·Journal of Bacteriology·Lucy J LeeRobert K Poole
Dec 24, 2009·Molecular Systems Biology·Natsuko YamamotoHirotada Mori
Aug 27, 2010·Bioinformatics·H M Shahzad AsifGuido Sanguinetti
Sep 30, 2014·Antioxidants & Redox Signaling·Victoria M HarperRakesh P Patel

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Citations

Jun 3, 2021·Antioxidants·Sofia S MendesLígia M Saraiva
Jul 3, 2021·Pharmaceutics·Alexandra-Cristina Munteanu, Valentina Uivarosi

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Datasets Mentioned

BETA
GSE55097

Methods Mentioned

BETA
PCR
Feature Extraction

Software Mentioned

Agilent Scan Control
Agilent Feature Extraction
GeneSpring GX
EcoCyc
TFInfer

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