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An investigation of codon usage pattern analysis in pancreatitis associated genes

BACKGROUND: Pancreatitis is an inflammatory disorder resulting from the autoactivation of trypsinogen in the pancreas. The genetic basis of the disease is an old phenomenon, and evidence is accumulating for the involvement of synonymous/non-synonymous codon variants in disease initiation and progres...

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Autores principales: Li, Yuanyang, Khandia, Rekha, Papadakis, Marios, Alexiou, Athanasios, Simonov, Alexander Nikolaevich, Khan, Azmat Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700901/
https://www.ncbi.nlm.nih.gov/pubmed/36434531
http://dx.doi.org/10.1186/s12863-022-01089-z
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author Li, Yuanyang
Khandia, Rekha
Papadakis, Marios
Alexiou, Athanasios
Simonov, Alexander Nikolaevich
Khan, Azmat Ali
author_facet Li, Yuanyang
Khandia, Rekha
Papadakis, Marios
Alexiou, Athanasios
Simonov, Alexander Nikolaevich
Khan, Azmat Ali
author_sort Li, Yuanyang
collection PubMed
description BACKGROUND: Pancreatitis is an inflammatory disorder resulting from the autoactivation of trypsinogen in the pancreas. The genetic basis of the disease is an old phenomenon, and evidence is accumulating for the involvement of synonymous/non-synonymous codon variants in disease initiation and progression. RESULTS: The present study envisaged a panel of 26 genes involved in pancreatitis for their codon choices, compositional analysis, relative dinucleotide frequency, nucleotide disproportion, protein physical properties, gene expression, codon bias, and interrelated of all these factors. In this set of genes, gene length was positively correlated with nucleotide skews and codon usage bias. Codon usage of any gene is dependent upon its AT and GC component; however, AGG, CGT, and CGA encoding for Arg, TCG for Ser, GTC for Val, and CCA for Pro were independent of nucleotide compositions. In addition, Codon GTC showed a correlation with protein properties, isoelectric point, instability index, and frequency of basic amino acids. We also investigated the effect of various evolutionary forces in shaping the codon usage choices of genes. CONCLUSIONS: This study will enable us to gain insight into the molecular signatures associated with the disease that might help identify more potential genes contributing to enhanced risk for pancreatitis. All the genes associated with pancreatitis are generally associated with physiological function, and mutations causing loss of function, over or under expression leads to an ailment. Therefore, the present study attempts to envisage the molecular signature in a group of genes that lead to pancreatitis in case of malfunction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01089-z.
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spelling pubmed-97009012022-11-27 An investigation of codon usage pattern analysis in pancreatitis associated genes Li, Yuanyang Khandia, Rekha Papadakis, Marios Alexiou, Athanasios Simonov, Alexander Nikolaevich Khan, Azmat Ali BMC Genom Data Research Article BACKGROUND: Pancreatitis is an inflammatory disorder resulting from the autoactivation of trypsinogen in the pancreas. The genetic basis of the disease is an old phenomenon, and evidence is accumulating for the involvement of synonymous/non-synonymous codon variants in disease initiation and progression. RESULTS: The present study envisaged a panel of 26 genes involved in pancreatitis for their codon choices, compositional analysis, relative dinucleotide frequency, nucleotide disproportion, protein physical properties, gene expression, codon bias, and interrelated of all these factors. In this set of genes, gene length was positively correlated with nucleotide skews and codon usage bias. Codon usage of any gene is dependent upon its AT and GC component; however, AGG, CGT, and CGA encoding for Arg, TCG for Ser, GTC for Val, and CCA for Pro were independent of nucleotide compositions. In addition, Codon GTC showed a correlation with protein properties, isoelectric point, instability index, and frequency of basic amino acids. We also investigated the effect of various evolutionary forces in shaping the codon usage choices of genes. CONCLUSIONS: This study will enable us to gain insight into the molecular signatures associated with the disease that might help identify more potential genes contributing to enhanced risk for pancreatitis. All the genes associated with pancreatitis are generally associated with physiological function, and mutations causing loss of function, over or under expression leads to an ailment. Therefore, the present study attempts to envisage the molecular signature in a group of genes that lead to pancreatitis in case of malfunction. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01089-z. BioMed Central 2022-11-25 /pmc/articles/PMC9700901/ /pubmed/36434531 http://dx.doi.org/10.1186/s12863-022-01089-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Yuanyang
Khandia, Rekha
Papadakis, Marios
Alexiou, Athanasios
Simonov, Alexander Nikolaevich
Khan, Azmat Ali
An investigation of codon usage pattern analysis in pancreatitis associated genes
title An investigation of codon usage pattern analysis in pancreatitis associated genes
title_full An investigation of codon usage pattern analysis in pancreatitis associated genes
title_fullStr An investigation of codon usage pattern analysis in pancreatitis associated genes
title_full_unstemmed An investigation of codon usage pattern analysis in pancreatitis associated genes
title_short An investigation of codon usage pattern analysis in pancreatitis associated genes
title_sort investigation of codon usage pattern analysis in pancreatitis associated genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700901/
https://www.ncbi.nlm.nih.gov/pubmed/36434531
http://dx.doi.org/10.1186/s12863-022-01089-z
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