Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman

Human immune system comprises of many important biological components. Reduction in protein production such as hormones due to changes in codon distribution can lead to immune system disorder. In this study, the balance between mutational bias and translational selection in shaping codon usage bias...

Full description

Bibliographic Details
Main Author: Muhammad Adib , Ruzman
Format: Thesis
Published: 2018
Subjects:
Online Access:http://studentsrepo.um.edu.my/13312/
http://studentsrepo.um.edu.my/13312/2/Muhammad_Adib.pdf
http://studentsrepo.um.edu.my/13312/1/Muhammad_Adib.pdf
_version_ 1848774828586172416
author Muhammad Adib , Ruzman
author_facet Muhammad Adib , Ruzman
author_sort Muhammad Adib , Ruzman
building UM Research Repository
collection Online Access
description Human immune system comprises of many important biological components. Reduction in protein production such as hormones due to changes in codon distribution can lead to immune system disorder. In this study, the balance between mutational bias and translational selection in shaping codon usage bias in protein-coding genes in monocytes, B and T lymphocytes were examined. The protein-coding genes for monocytes, B and T lymphocytes as well as human reference protein-coding genes were obtained from RNA-Seq data from NCBI databases. This study was conducted by computing several codon usage indices and applying multivariate statistical methods. Nucleotide composition analysis showed that the protein-coding genes have GC-rich content and predicted to prefer GC-ended codons to code for the respective amino acids. Relative Synonymous Codon Usage (RSCU) analysis confirms the earlier prediction that GC-rich protein-coding genes will always prefer to use GC-ended codons except for monocytes protein-coding genes which prefer AT-ended codons. The overall codon usage bias was low in all of the cells including human reference protein-coding genes. Multivariate analysis used in this study suggested that codon usage bias is influenced by both mutational bias and translational selection. Moreover, translational selection was identified to be the dominant factor in all the immune cells studied except for monocytes in which it was heavily influenced by mutational bias. This research also provides new insights into human cells biology and contributes new information on advantages of RNA-Seq data in genomic study.
first_indexed 2025-11-14T14:04:30Z
format Thesis
id um-13312
institution University Malaya
institution_category Local University
last_indexed 2025-11-14T14:04:30Z
publishDate 2018
recordtype eprints
repository_type Digital Repository
spelling um-133122022-05-12T18:40:52Z Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman Muhammad Adib , Ruzman Q Science (General) QH301 Biology Human immune system comprises of many important biological components. Reduction in protein production such as hormones due to changes in codon distribution can lead to immune system disorder. In this study, the balance between mutational bias and translational selection in shaping codon usage bias in protein-coding genes in monocytes, B and T lymphocytes were examined. The protein-coding genes for monocytes, B and T lymphocytes as well as human reference protein-coding genes were obtained from RNA-Seq data from NCBI databases. This study was conducted by computing several codon usage indices and applying multivariate statistical methods. Nucleotide composition analysis showed that the protein-coding genes have GC-rich content and predicted to prefer GC-ended codons to code for the respective amino acids. Relative Synonymous Codon Usage (RSCU) analysis confirms the earlier prediction that GC-rich protein-coding genes will always prefer to use GC-ended codons except for monocytes protein-coding genes which prefer AT-ended codons. The overall codon usage bias was low in all of the cells including human reference protein-coding genes. Multivariate analysis used in this study suggested that codon usage bias is influenced by both mutational bias and translational selection. Moreover, translational selection was identified to be the dominant factor in all the immune cells studied except for monocytes in which it was heavily influenced by mutational bias. This research also provides new insights into human cells biology and contributes new information on advantages of RNA-Seq data in genomic study. 2018-03 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/13312/2/Muhammad_Adib.pdf application/pdf http://studentsrepo.um.edu.my/13312/1/Muhammad_Adib.pdf Muhammad Adib , Ruzman (2018) Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman. Masters thesis, Universiti Malaya. http://studentsrepo.um.edu.my/13312/
spellingShingle Q Science (General)
QH301 Biology
Muhammad Adib , Ruzman
Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title_full Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title_fullStr Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title_full_unstemmed Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title_short Comparative analysis of synonymous codon usage bias in human monocytes, B and T lymphocytes based on transcriptome data / Muhammad Adib Ruzman
title_sort comparative analysis of synonymous codon usage bias in human monocytes, b and t lymphocytes based on transcriptome data / muhammad adib ruzman
topic Q Science (General)
QH301 Biology
url http://studentsrepo.um.edu.my/13312/
http://studentsrepo.um.edu.my/13312/2/Muhammad_Adib.pdf
http://studentsrepo.um.edu.my/13312/1/Muhammad_Adib.pdf