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Analysis of Salmonella typhimurium Protein-Targeting in the Nucleus of Host Cells and the Implications in Colon Cancer: An in-silico Approach

Authors Li J, Zakariah M, Malik A, Ola MS, Syed R, Chaudhary AA, Khan S

Received 13 April 2020

Accepted for publication 9 June 2020

Published 20 July 2020 Volume 2020:13 Pages 2433—2442

DOI https://doi.org/10.2147/IDR.S258037

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Dr Sahil Khanna


Jianhua Li,1 Mohammed Zakariah,2 Abdul Malik,3 Mohammad Shamsul Ola,4 Rabbani Syed,3 Anis Ahmad Chaudhary,5 Shahanavaj Khan6,7

1Department of General Surgery Ⅰ, Xinxiang Central Hospital, Xinxiang City, Henan Province 453000, People’s Republic of China; 2Research Center, College of Computer and Information Science, King Saud University, Riyadh, Saudi Arabia; 3Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia; 4Department of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia; 5Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia; 6Bioinformatics and Biotechnology Unit, Department of Bioscience, Shri Ram Group of College (SRGC), Muzaffarnagar, UP, India; 7Nano-Biotechnology Unit, Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia

Correspondence: Shahanavaj Khan Tel +91 9219993262
Email khan.shahanavaj@gmail.com

Background: Infections of Salmonella typhimurium (S. typhimurium) are major threats to health, threats include diarrhoea, fever, acute intestinal inflammation, and cancer. Nevertheless, little information is available about the involvement of S. typhimurium in colon cancer etiology.
Methods: The present study was designed to predict nuclear targeting of S. typhimurium proteins in the host cell through computational tools, including nuclear localization signal (NLS) mapper, Balanced Subcellular Localization predictor (BaCeILo), and Hum-mPLoc using next-generation sequencing data.
Results: Several gene expression-associated proteins of S. typhimurium have been predicted to target the host nucleus during intracellular infections. Nuclear targeting of S. typhimurium proteins can lead to competitive interactions between the host and pathogen proteins with similar cellular substrates, and it may have a possible involvement in colon cancer growth. Our results suggested that S. typhimurium releases its proteins within compartments of the host cell, where they act as a component of the host cell proteome. Protein targeting is possibly involved in colon cancer etiology during intracellular bacterial infection.
Conclusion: The results of current in-silico study showed the potential involvement of S. typhimurium infection with alteration in normal functioning of host cell which act as possible factor to connect with the growth and development of colon cancer.

Keywords: S. typhimurium, in- silico analysis, proteome, nuclear targeting protein, colon cancer etiology

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