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An Insight into Codon Pattern Analysis of Autophagy Genes Associated with Virus Infection.
Singhal, Shailja; Kumar, Utsang; Alqahtani, Taha; Rzhepakovsky, Igor Vladimirovich; Khandia, Rekha; Pandey, Megha; Alqahtani, Saud; Alharbi, Hanan; Kamal, Mohammad Amjad.
Afiliação
  • Singhal S; Department of Biochemistry and Genetics, Barkatullah University, Bhopal, 462026, India.
  • Kumar U; Department of Biochemistry and Genetics, Barkatullah University, Bhopal, 462026, India.
  • Alqahtani T; Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, 62529, Saudi Arabia.
  • Rzhepakovsky IV; Medical and Biological Faculty, North Caucasus Federal University, Stavropol, Russia.
  • Khandia R; Department of Biochemistry and Genetics, Barkatullah University, Bhopal, 462026, India.
  • Pandey M; Translational Medicine Center, All India Institute of Medical Sciences, Bhopal, 462020, India.
  • Alqahtani S; Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, 62529, Saudi Arabia.
  • Alharbi H; Department of Pharmaceutics, College of Pharmacy, Umm Al-Qura University, Makkah, 21955, Saudi Arabia.
  • Kamal MA; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, China.
Curr Pharm Des ; 29(14): 1105-1120, 2023.
Article em En | MEDLINE | ID: mdl-37073656
ABSTRACT

INTRODUCTION:

Apoptosis and autophagy are the two fundamental processes involved in maintaining homeostasis, and a common stimulus may initiate the processes. Autophagy has been implicated in various diseases, including viral infections. Genetic manipulations leading to altered gene expression might be a strategy to check virus infection.

AIM:

Determination of molecular patterns, relative synonymous codon usage, codon preference, codon bias, codon pair bias, and rare codons so that genetic manipulation of autophagy genes may be done to curb viral infection.

METHODS:

Using various software, algorithms, and statistical analysis, insights into codon patterns were obtained. A total of 41 autophagy genes were envisaged as they are involved in virus infection.

RESULTS:

The A/T and G/C ending codons are preferred by different genes. AAA-GAA and CAG-CTG codon pairs are the most abundant codon pairs. CGA, TCG, CCG, and GCG are rarely used codons.

CONCLUSION:

The information generated in the present study helps manipulate the gene expression level of virus infection-associated autophagy genes through gene modification tools like CRISPR. Codon deoptimization for reducing while codon pair optimization for enhancing is efficacious for HO-1 gene expression.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Viroses Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Curr Pharm Des Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Viroses Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Revista: Curr Pharm Des Ano de publicação: 2023 Tipo de documento: Article