Literature DB >> 33687715

Mass Spectrometry-Based Analysis of Mycobacterial Single-Colony Proteome.

John Iradukunda1, Tariq Ganief1, Jonathan M Blackburn1,2, Nelson C Soares3,4.   

Abstract

Mass spectrometry-based single-cell proteomic analysis has recently gained momentum and is now an emerging area with established protocols and promising results. Traditional proteomic studies, especially involving bacteria, have been limited to suspension cultures with large protein yields. Such studies, however, remain population centered with the uniqueness of individual responses to environmental challenges becoming diluted. To enable bacterial single-colony proteomics, we describe a quantitative mass spectrometry-based protocol to isolate and analyze the proteome of a single mycobacterial colony from 7H10 media, with growth supplements for optimal growth. Following protein purification and digestion, tryptic peptides are analyzed by UHPLC coupled to a hybrid Q Exactive mass spectrometer. Raw data were analyzed using the MaxQuant Suite, and downstream statistical analysis was performed using Perseus software. A total of 7805 unique peptides and 1387 proteins were identified. Data are available via ProteomeXchange with identifier PXD018168. In this chapter, we identify steps most prone to sample loss and describe measures of alleviation that allows the preservation of protein yield and boosts quantitative power while increasing reproducibility, of "very limiting samples."

Keywords:  Bacterial proteome; Mass spectrometry; Mycobacteria; Protein extraction; Proteomics; Single-colony

Mesh:

Substances:

Year:  2021        PMID: 33687715     DOI: 10.1007/978-1-0716-1178-4_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics.

Authors:  Juri Rappsilber; Yasushi Ishihama; Matthias Mann
Journal:  Anal Chem       Date:  2003-02-01       Impact factor: 6.986

2.  Contribution of phenotypic heterogeneity to adaptive antibiotic resistance.

Authors:  María Antonia Sánchez-Romero; Josep Casadesús
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-18       Impact factor: 11.205

3.  The origin of phenotypic heterogeneity in a clonal cell population in vitro.

Authors:  Daniel Stockholm; Rachid Benchaouir; Julien Picot; Philippe Rameau; Thi My Anh Neildez; Gabriel Landini; Corinne Laplace-Builhé; Andras Paldi
Journal:  PLoS One       Date:  2007-04-25       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.