Literature DB >> 20217870

Descriptive proteomic analysis shows protein variability between closely related clinical isolates of Mycobacterium tuberculosis.

Carolina Mehaffy1, Ann Hess, Jessica E Prenni, Barun Mathema, Barry Kreiswirth, Karen M Dobos.   

Abstract

The use of isobaric tags such as iTRAQ allows the relative and absolute quantification of hundreds of proteins in a single experiment for up to eight different samples. More classical techniques such as 2-DE can offer a complimentary approach for the analysis of complex protein samples. In this study, the proteomes of secreted and cytosolic proteins of genetically closely related strains of Mycobacterium tuberculosis were analyzed. Analysis of 2-D gels afforded 28 spots with variations in protein abundance between strains. These were identified by MS/MS. Meanwhile, a rigorous statistical analysis of iTRAQ data allowed the identification and quantification of 101 and 137 proteins in the secreted and cytosolic fractions, respectively. Interestingly, several differences in protein levels were observed between the closely related strains BE, C28 and H6. Seven proteins related to cell wall and cell processes were more abundant in BE, while enzymes related to metabolic pathways (GltA2, SucC, Gnd1, Eno) presented lower levels in the BE strain. Proteins involved in iron and sulfur acquisition (BfrB, ViuB, TB15.3 and SseC2) were more abundant in C28 and H6. In general, iTRAQ afforded rapid identification of fine differences between protein levels such as those presented between closely related strains. This provides a platform from which the relevance of these differences can be assessed further using complimentary proteomic and biological modeling methods.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20217870      PMCID: PMC3517044          DOI: 10.1002/pmic.200900836

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


  70 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  Towards the proteome of Mycobacterium tuberculosis.

Authors:  I Rosenkrands; A King; K Weldingh; M Moniatte; E Moertz; P Andersen
Journal:  Electrophoresis       Date:  2000-11       Impact factor: 3.535

3.  Response of Mycobacterium tuberculosis to reactive oxygen and nitrogen intermediates.

Authors:  T R Garbe; N S Hibler; V Deretic
Journal:  Mol Med       Date:  1996-01       Impact factor: 6.354

4.  Virulence of Mycobacterium tuberculosis CDC1551 and H37Rv in rabbits evaluated by Lurie's pulmonary tubercle count method.

Authors:  W R Bishai; A M Dannenberg; N Parrish; R Ruiz; P Chen; B C Zook; W Johnson; J W Boles; M L Pitt
Journal:  Infect Immun       Date:  1999-09       Impact factor: 3.441

5.  Mutations in Mycobacterium tuberculosis Rv0444c, the gene encoding anti-SigK, explain high level expression of MPB70 and MPB83 in Mycobacterium bovis.

Authors:  Battouli Saïd-Salim; Serge Mostowy; Arnold S Kristof; Marcel A Behr
Journal:  Mol Microbiol       Date:  2006-10-25       Impact factor: 3.501

6.  A combined DNA vaccine-prime, BCG-boost strategy results in better protection against Mycobacterium bovis challenge.

Authors:  H Cai; D H Yu; X D Hu; S X Li; Y X Zhu
Journal:  DNA Cell Biol       Date:  2006-08       Impact factor: 3.311

7.  Complementary analysis of the Mycobacterium tuberculosis proteome by two-dimensional electrophoresis and isotope-coded affinity tag technology.

Authors:  Frank Schmidt; Samuel Donahoe; Kristine Hagens; Jens Mattow; Ulrich E Schaible; Stefan H E Kaufmann; Ruedi Aebersold; Peter R Jungblut
Journal:  Mol Cell Proteomics       Date:  2003-10-13       Impact factor: 5.911

8.  A localization index for distinction between extracellular and intracellular antigens of Mycobacterium tuberculosis.

Authors:  H G Wiker; M Harboe; S Nagai
Journal:  J Gen Microbiol       Date:  1991-04

9.  Differential expression of novel tyrosine kinase substrates during breast cancer development.

Authors:  Yunhao Chen; Lee-Yee Choong; Qingsong Lin; Robin Philp; Chee-Hong Wong; Boon-Keong Ang; Yee-Ling Tan; Marie-Chiew-Shia Loh; Choy-Leong Hew; Nilesh Shah; Brian J Druker; Poh-Kuan Chong; Yoon-Pin Lim
Journal:  Mol Cell Proteomics       Date:  2007-09-12       Impact factor: 5.911

10.  Hypoxic response of Mycobacterium tuberculosis studied by metabolic labeling and proteome analysis of cellular and extracellular proteins.

Authors:  Ida Rosenkrands; Richard A Slayden; Janne Crawford; Claus Aagaard; Clifton E Barry; Peter Andersen
Journal:  J Bacteriol       Date:  2002-07       Impact factor: 3.490

View more
  21 in total

1.  Visualization of imbalances in sulfur assimilation and synthesis of sulfur-containing amino acids at the single-cell level.

Authors:  Kristina Hoffmann; Alexander Grünberger; Frank Lausberg; Michael Bott; Lothar Eggeling
Journal:  Appl Environ Microbiol       Date:  2013-08-30       Impact factor: 4.792

2.  Epidemiologic consequences of microvariation in Mycobacterium tuberculosis.

Authors:  Barun Mathema; Natalia Kurepina; Guibin Yang; Elena Shashkina; Claudia Manca; Carolina Mehaffy; Helle Bielefeldt-Ohmann; Shama Ahuja; Dorothy A Fallows; Angelo Izzo; Pablo Bifani; Karen Dobos; Gilla Kaplan; Barry N Kreiswirth
Journal:  J Infect Dis       Date:  2012-02-07       Impact factor: 5.226

3.  Methods for Proteomic Analyses of Mycobacteria.

Authors:  Carolina Mehaffy; Megan Lucas; Nicole A Kruh-Garcia; Karen M Dobos
Journal:  Methods Mol Biol       Date:  2021

4.  Sample preparation of Mycobacterium tuberculosis extracts for nuclear magnetic resonance metabolomic studies.

Authors:  Denise K Zinniel; Robert J Fenton; Steven Halouska; Robert Powers; Raul G Barletta
Journal:  J Vis Exp       Date:  2012-09-03       Impact factor: 1.355

5.  Three protein cocktails mediate delayed-type hypersensitivity responses indistinguishable from that elicited by purified protein derivative in the guinea pig model of Mycobacterium tuberculosis infection.

Authors:  Hongliang Yang; JoLynn Troudt; Ajay Grover; Kimberly Arnett; Megan Lucas; Yun Sang Cho; Helle Bielefeldt-Ohmann; Jennifer Taylor; Angelo Izzo; Karen M Dobos
Journal:  Infect Immun       Date:  2010-12-06       Impact factor: 3.441

6.  Deciphering the proteome of the in vivo diagnostic reagent "purified protein derivative" from Mycobacterium tuberculosis.

Authors:  Yun Sang Cho; Karen M Dobos; Jessica Prenni; Hongliang Yang; Ann Hess; Ida Rosenkrands; Peter Andersen; Sung Weon Ryoo; Gill-Han Bai; Michael J Brennan; Angelo Izzo; Helle Bielefeldt-Ohmann; John T Belisle
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

Review 7.  Tuberculosis: global approaches to a global disease.

Authors:  Denise E Kirschner; Douglas Young; JoAnne L Flynn
Journal:  Curr Opin Biotechnol       Date:  2010-07-14       Impact factor: 9.740

8.  Analysis of the secretome and identification of novel constituents from culture filtrate of bacillus Calmette-Guerin using high-resolution mass spectrometry.

Authors:  Jianhua Zheng; Xianwen Ren; Candong Wei; Jian Yang; Yongfeng Hu; Liguo Liu; Xingye Xu; Jin Wang; Qi Jin
Journal:  Mol Cell Proteomics       Date:  2013-04-24       Impact factor: 5.911

9.  Portrait of a pathogen: the Mycobacterium tuberculosis proteome in vivo.

Authors:  Nicole A Kruh; Jolynn Troudt; Angelo Izzo; Jessica Prenni; Karen M Dobos
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

10.  Upregulation of the phthiocerol dimycocerosate biosynthetic pathway by rifampin-resistant, rpoB mutant Mycobacterium tuberculosis.

Authors:  Gregory P Bisson; Carolina Mehaffy; Corey Broeckling; Jessica Prenni; Dalin Rifat; Desmond S Lun; Marcos Burgos; Drew Weissman; Petros C Karakousis; Karen Dobos
Journal:  J Bacteriol       Date:  2012-09-21       Impact factor: 3.490

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.