Comparative in-silico proteomic analysis discerns potential granuloma proteins of Yersinia pseudotuberculosis

Manisha Aswal1, Anjali Garg1, Neelja Singhal1

  • 1Department of Biophysics, University of Delhi South Campus, New Delhi, 110021, India.

Scientific Reports
|February 22, 2020
PubMed

Insights

This study identifies seven potential proteins involved in Yersinia pseudotuberculosis granuloma formation using computational analysis. Further research is needed to confirm their exact roles in this bacterial disease.

Area of Science:

  • Microbiology
  • Immunology
  • Computational Biology

Background:

  • Yersinia pseudotuberculosis pathogenesis is primarily studied via its Type III secretion system.
  • Factors contributing to Y. pseudotuberculosis granuloma formation remain largely unknown.
  • Granuloma formation is a shared pathogenic trait between Mycobacterium and Yersinia species.

Purpose of the Study:

  • To computationally identify proteins potentially involved in Y. pseudotuberculosis granuloma formation.
  • To compare proteomes of granuloma-forming and non-granuloma-forming bacteria.
  • To lay the groundwork for future experimental validation.

Main Methods:

  • Comparative proteome analysis of seven bacterial species (Mycobacterium and Yersinia).
  • Identification of conserved orthologous proteins.
  • In silico analysis to predict potential granuloma proteins.
  • Transcriptome data analysis and protein-protein interaction mapping.

Main Results:

  • Seven candidate proteins (UniProt IDs provided) were identified as potentially playing a role in Y. pseudotuberculosis granuloma formation.
  • The study compared proteomes of M. tuberculosis, M. bovis, M. avium paratuberculosis, Y. pestis, Y. frederiksenii, Y. enterocolitica, and Y. pseudotuberculosis.
  • Validation involved transcriptome data and mapping to M. tuberculosis granuloma protein interaction networks.

Conclusions:

  • Seven proteins are proposed as potential contributors to Y. pseudotuberculosis granuloma formation.
  • This computational study provides a foundation for future experimental investigations.
  • Further research, including gene knockout studies, is necessary to confirm the role of these proteins.

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