Literature DB >> 26889693

Pan-proteomics, a concept for unifying quantitative proteome measurements when comparing closely-related bacterial strains.

James A Broadbent1,2, Daniel A Broszczak1, Imalka U K Tennakoon2, Flavia Huygens2.   

Abstract

The comparison of proteomes between genetically heterogeneous bacterial strains may offer valuable insights into physiological diversity and function, particularly where such variation aids in the survival and virulence of clinically-relevant strains. However, reports of such comparisons frequently fail to account for underlying genetic variance. As a consequence, the current knowledge regarding bacterial physiological diversity at the protein level may be incomplete or inaccurate. To address this, greater consideration must be given to the impact of genetic heterogeneity on proteome comparisons. This may be possible through the use of pan-proteomics, an analytical concept that permits the ability to qualitatively and quantitatively compare the proteomes of genetically heterogeneous organisms. Limited examples of this emerging technology highlight currently unmet analytical challenges. In this article we define pan-proteomics, where its value lies in microbiology, and discuss the technical considerations critical to its successful execution and potential future application.

Keywords:  Bacterial strains; Bioinformatics; Clinical microbiology; Comparative proteomics; Genetic heterogeneity; Microbiology; Pan-proteomics

Mesh:

Substances:

Year:  2016        PMID: 26889693     DOI: 10.1586/14789450.2016.1155986

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  6 in total

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Journal:  Microorganisms       Date:  2022-03-26

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Journal:  Front Vet Sci       Date:  2021-02-16

Review 3.  Quick microbial molecular phenotyping by differential shotgun proteomics.

Authors:  Duarte Gouveia; Lucia Grenga; Olivier Pible; Jean Armengaud
Journal:  Environ Microbiol       Date:  2020-03-11       Impact factor: 5.491

4.  A journey through the Corynebacterium pseudotuberculosis proteome promotes insights into its functional genome.

Authors:  Wanderson Marques da Silva; Nubia Seyffert; Artur Silva; Vasco Azevedo
Journal:  PeerJ       Date:  2021-12-23       Impact factor: 2.984

5.  Proteogenomics data for deciphering Frankia coriariae interactions with root exudates from three host plants.

Authors:  Guylaine Miotello; Amir Ktari; Abdellatif Gueddou; Imen Nouioui; Faten Ghodhbane-Gtari; Jean Armengaud; Maher Gtari
Journal:  Data Brief       Date:  2017-07-11

6.  Comparative proteomic analysis of four biotechnological strains Lactococcus lactis through label-free quantitative proteomics.

Authors:  Wanderson M Silva; Cassiana S Sousa; Leticia C Oliveira; Siomar C Soares; Gustavo F M H Souza; Guilherme C Tavares; Cristiana P Resende; Edson L Folador; Felipe L Pereira; Henrique Figueiredo; Vasco Azevedo
Journal:  Microb Biotechnol       Date:  2018-10-19       Impact factor: 5.813

  6 in total

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