Literature DB >> 16247735

Proteomic analysis using an unfinished bacterial genome: the effects of subminimum inhibitory concentrations of antibiotics on Mannheimia haemolytica virulence factor expression.

Bindu Nanduri1, Mark L Lawrence, Sucharith Vanguri, Tibor Pechan, Shane C Burgess.   

Abstract

Here we identify, using nonelectrophoretic proteomics, effects of subminimum inhibitory concentrations (subMIC) of two antibiotic preparations, chlortetracycline (CTC), and chlortetracycline-sulfamethazine (CTC + SMZ), on protein expression in the bovine respiratory pathogen Mannheimia haemolytica. The M. haemolytica genome is currently in draft form, and annotation is incomplete. Relying on the principle of gene sequence conservation across species, we used annotated genomes from closely related species to identify, confirm, and functionally annotate 495 M. haemolytica proteins. To conduct quantitative comparative proteomics, we developed a protein quantitation method based on the cross correlation function of the SEQUEST algorithm. When M. haemolytica was cultivated in the presence of 1/4 MIC of CTC and CTC + SMZ, expression of proteins involved in energy production, nucleotide metabolism, translation, and the bacterial stress response (chaperones) were affected. The most notable subMIC effect was a significant decrease in the expression of leukotoxin A, which is an important M. haemolytica virulence factor. Reduction in leukotoxin expression could be one of the molecular mechanisms responsible for the efficacy of these antibiotics against bovine respiratory disease.

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Year:  2005        PMID: 16247735     DOI: 10.1002/pmic.200500112

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  HFIP extraction followed by 2D CTAB/SDS-PAGE separation: a new methodology for protein identification from tissue sections after MALDI mass spectrometry profiling for personalized medicine research.

Authors:  Rémi Longuespée; Christophe Tastet; Annie Desmons; Olivier Kerdraon; Robert Day; Isabelle Fournier; Michel Salzet
Journal:  OMICS       Date:  2014-05-19

2.  Proteomics-based systems biology modeling of bovine germinal vesicle stage oocyte and cumulus cell interaction.

Authors:  Divyaswetha Peddinti; Erdogan Memili; Shane C Burgess
Journal:  PLoS One       Date:  2010-06-21       Impact factor: 3.240

3.  Global liver proteomics of rats exposed for 5 days to phenobarbital identifies changes associated with cancer and with CYP metabolism.

Authors:  Mary B Dail; L Allen Shack; Janice E Chambers; Shane C Burgess
Journal:  Toxicol Sci       Date:  2008-09-16       Impact factor: 4.849

4.  Vesicular trafficking and stress response coupled to PI3K inhibition by LY294002 as revealed by proteomic and cell biological analysis.

Authors:  Tomáš Takáč; Tibor Pechan; Olga Samajová; Jozef Samaj
Journal:  J Proteome Res       Date:  2013-09-09       Impact factor: 4.466

5.  Proteomic comparison of four Eimeria tenella life-cycle stages: unsporulated oocyst, sporulated oocyst, sporozoite and second-generation merozoite.

Authors:  Kalpana Lal; Elizabeth Bromley; Richard Oakes; Judith Helena Prieto; Sanya J Sanderson; Dominic Kurian; Lawrence Hunt; John R Yates; Jonathan M Wastling; Robert E Sinden; Fiona M Tomley
Journal:  Proteomics       Date:  2009-10       Impact factor: 3.984

6.  Comparative proteomic analysis of Listeria monocytogenes strains F2365 and EGD.

Authors:  Janet R Donaldson; Bindu Nanduri; Shane C Burgess; Mark L Lawrence
Journal:  Appl Environ Microbiol       Date:  2008-11-21       Impact factor: 4.792

7.  Apoplast proteome reveals that extracellular matrix contributes to multistress response in poplar.

Authors:  Olga Pechanova; Chuan-Yu Hsu; Joshua P Adams; Tibor Pechan; Lindsay Vandervelde; Jenny Drnevich; Sara Jawdy; Ardeshir Adeli; Jeffrey C Suttle; Amanda M Lawrence; Timothy J Tschaplinski; Armand Séguin; Cetin Yuceer
Journal:  BMC Genomics       Date:  2010-11-29       Impact factor: 3.969

8.  Proteome and membrane fatty acid analyses on Oligotropha carboxidovorans OM5 grown under chemolithoautotrophic and heterotrophic conditions.

Authors:  Debarati Paul; Ranjit Kumar; Bindu Nanduri; Todd French; Ken Pendarvis; Ashli Brown; Mark L Lawrence; Shane C Burgess
Journal:  PLoS One       Date:  2011-02-28       Impact factor: 3.240

9.  Nuclear proteome response to cell wall removal in rice (Oryza sativa).

Authors:  Hana Mujahid; Feng Tan; Jian Zhang; Babi Ramesh Reddy Nallamilli; Ken Pendarvis; Zhaohua Peng
Journal:  Proteome Sci       Date:  2013-06-19       Impact factor: 2.480

10.  An automated proteomic data analysis workflow for mass spectrometry.

Authors:  Ken Pendarvis; Ranjit Kumar; Shane C Burgess; Bindu Nanduri
Journal:  BMC Bioinformatics       Date:  2009-10-08       Impact factor: 3.169

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