In-silico Codon Context and Synonymous Usage Analysis of Genes for Molecular Mechanisms Inducing Autophagy and Apoptosis with Reference to Neurodegenerative Disorders.

Alzheimer’s disease apoptosis autophagy codon context codon pairs rare codons relative synonymous codon usage

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
10 May 2024
Historique:
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 10 5 2024
Statut: aheadofprint

Résumé

Autophagy and apoptosis are cellular processes that maintain cellular homeostasis and remove damaged or aged organelles or aggregated and misfolded proteins. Stress factors initiate the signaling pathways common to autophagy and apoptosis. An imbalance in the autophagy and apoptosis, led by cascade of molecular mechanism prior to both processes culminate into neurodegeneration. In present study, we urge to investigate the codon usage pattern of genes which are common before initiating autophagy and apoptosis. In the present study, we took up eleven genes (DAPK1, BECN1, PIK3C3 (VPS34), BCL2, MAPK8, BNIP3 L (NIX), PMAIP1, BAD, BID, BBC3, MCL1) that are part of molecular signaling mechanism prior to autophagy and apoptosis. We analyzed dinucleotide odds ratio, codon bias, usage, context, and rare codon analysis. CpC and GpG dinucleotides were abundant, with the dominance of G/C ending codons as preferred codons. Clustering analysis revealed that MAPK8 had a distinct codon usage pattern compared to other envisaged genes. Both positive and negative contexts were observed, and GAG-GAG followed by CTG-GCC was the most abundant codon pair. Of the six synonymous arginine codons, two codons CGT and CGA were the rarest. The information presented in the study may be used to manipulate the process of autophagy and apoptosis and to check the pathophysiology associated with their dysregulation.

Sections du résumé

Background UNASSIGNED
Autophagy and apoptosis are cellular processes that maintain cellular homeostasis and remove damaged or aged organelles or aggregated and misfolded proteins. Stress factors initiate the signaling pathways common to autophagy and apoptosis. An imbalance in the autophagy and apoptosis, led by cascade of molecular mechanism prior to both processes culminate into neurodegeneration.
Objective UNASSIGNED
In present study, we urge to investigate the codon usage pattern of genes which are common before initiating autophagy and apoptosis.
Methods UNASSIGNED
In the present study, we took up eleven genes (DAPK1, BECN1, PIK3C3 (VPS34), BCL2, MAPK8, BNIP3 L (NIX), PMAIP1, BAD, BID, BBC3, MCL1) that are part of molecular signaling mechanism prior to autophagy and apoptosis. We analyzed dinucleotide odds ratio, codon bias, usage, context, and rare codon analysis.
Results UNASSIGNED
CpC and GpG dinucleotides were abundant, with the dominance of G/C ending codons as preferred codons. Clustering analysis revealed that MAPK8 had a distinct codon usage pattern compared to other envisaged genes. Both positive and negative contexts were observed, and GAG-GAG followed by CTG-GCC was the most abundant codon pair. Of the six synonymous arginine codons, two codons CGT and CGA were the rarest.
Conclusions UNASSIGNED
The information presented in the study may be used to manipulate the process of autophagy and apoptosis and to check the pathophysiology associated with their dysregulation.

Identifiants

pubmed: 38728191
pii: JAD240158
doi: 10.3233/JAD-240158
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Rekha Khandia (R)

Department of Biochemistry and Genetics, Barkatullah University, Bhopal, India.

Pankaj Gurjar (P)

Centre for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, Australia.

Victoria Romashchenko (V)

RERC Pharmacy, RUDN University, Moscow, Russian Federation.

Sami A Al-Hussain (SA)

Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Athanasios Alexiou (A)

Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, Australia.
AFNP Med, Wien, Austria.

George Zouganelis (G)

School of Human Sciences, College of Life and Natural Sciences, University of Derby, Kedleston Road, Derby, UK.

Magdi E A Zaki (MEA)

Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Classifications MeSH