COMPLETE ANALYSIS OF HOX GENE BY USING BIOINFORMATICS TOOLS

Authors

  • MUHAMMAD WAQAR MAZHAR Department of Biotechnology and Bioinformatics, Government College University, Faisalabad, Pakistan.
  • JAVARIA MAHMOOD Department of Biotechnology and Bioinformatics, Government College University, Faisalabad, Pakistan.
  • SAIRA SAIF Department of Biotechnology and Bioinformatics, Government College University, Faisalabad, Pakistan.
  • NIBRAS WAQAS Department of Biotechnology and Bioinformatics, Government College University, Faisalabad, Pakistan.
  • MUDASARA SIKANDAR Department of Biotechnology and Bioinformatics, Government College University, Faisalabad, Pakistan.

Keywords:

distortions of human HOX, genes of HOX, differentiation, cancer, stem cell, intron and exons

Abstract

HOX gene contains an evolutionary series of transcription factors that regulate the organization of an organism's phenotype during its genetic composition. HOX genes are arranged Genes that encode the identification of anatomical segments, which is when the embryonic is formed with bilateral head symmetry, tail, back (dorsal), and abdomen (ventral). Since HOX genes control stem cells are considered to be in cancer, the mechanisms by which dysregulation of the HOX genes in SCs triggers differentiation and the HOX gene in the development of cancer is not entirely known. HOX genes are the principal transcription regulators of various functions from embryogenesis to cancer. In all mankind, there are 39 HOX variants in the four clusters of various chromosomes (7p15,12q13, and 2q31,17q21.2). During SC specialization from embryonic development stages to stem-cell SC functions, HOX genes have proven themselves to be essential. The clusters are known as HOXA, HOXB, HOXC, HOXD. The category contains 13 paralog groups allocated between 9-11 numbers depending on the series and place of each group. Two exons as well as a single intron are found in HOX genes. 120-nucleotide chain, called homeobox, is found in exon2. About 10,000 sequences were analyzed among 310 metazoan organisms, six genomic projects, and the whole UniProtKB server. This statement gives impact on this points that it is possible to enhance the discovery of Hox genes by integrating many methods of gene detection and a Hox-dedicated software. A phylogenetic analysis of many organisms with the neighbouring (nJ) approach and the highest probability (ML) approaches was conducted with elevated whole genetic sequence information. Highly evolved HOX gene roots are measured using phylogenetic techniques and are not closely associated with any community of existing Hox members.

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Published

2021-07-13

How to Cite

MAZHAR, M. W., MAHMOOD, J., SAIF, S., WAQAS, N., & SIKANDAR, M. (2021). COMPLETE ANALYSIS OF HOX GENE BY USING BIOINFORMATICS TOOLS. Quantum Journal of Medical and Health Sciences, 1(3), 39–45. Retrieved from https://qjmhs.com/index.php/qjmhs/article/view/21

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