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Ras-related associated with diabetes genes for biomarker-based therapeutics in cancer: A comparative evolutionary
1From the Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Al-Quwayiyah, Riyadh, Kingdom of Saudi Arabia.
Objectives:
To compare Ras-related associated with diabetes (RRAD) across different species and to identify specific biomarkers for cancer therapy.
Methods:
The study involves comparing the coding sequences, genes, messenger ribonucleic acid (RNA), non-coding RNA, open reading frame, short- and long-sequence repeats, and transcription factors of RRAD genes from 82 species. Various tools and software are employed for these comparisons, and evolutionary analysis was carried out to understand the gene's evolutionary history. The data are classified based on forward and reverse sequences.
Results:
Our analysis indicates that ACTG1 may function as a downstream effector of RRAD, offering potential avenues for diabetes and cancer treatments. By collecting RRAD sequences from 82 species and carrying out comparative genomics, this study provides diverse strategies for developing biomarker-based therapeutics. Furthermore, it suggests using RRAD in other organisms as a model for studying the knockdown effects of specific sequence sets. The study presents RRAD sequences from 82 organisms across different families, contributing to a diverse knowledge base for identifying drug-designing biomarkers.
Conclusion:
This research offers insights into the potential of RRAD as a therapeutic target in various organisms and highlights the importance of biomarker identification in drug development.
Insights
Ras-related associated with diabetes (RRAD) gene comparisons across 82 species reveal ACTG1 as a potential target for diabetes and cancer therapies. This study aids in developing novel biomarker-based treatments.
Area of Science:
- Genomics
- Molecular Biology
- Evolutionary Biology
Background:
- Ras-related associated with diabetes (RRAD) is implicated in cellular processes relevant to metabolic and oncogenic pathways.
- Understanding RRAD's evolutionary conservation and functional variations across species is crucial for therapeutic development.
Purpose of the Study:
- To conduct a comparative genomic analysis of RRAD across 82 diverse species.
- To identify potential biomarkers for cancer and diabetes therapies based on RRAD sequence variations.
- To explore the evolutionary history and functional implications of RRAD.
Main Methods:
- Comparative genomics of RRAD coding sequences, genes, RNA, non-coding RNA, open reading frames, repeats, and transcription factors from 82 species.
- Utilized various bioinformatics tools and software for sequence analysis and evolutionary assessments.
- Classified sequence data based on forward and reverse orientations.
Main Results:
- Identified ACTG1 as a potential downstream effector of RRAD, suggesting therapeutic applications for diabetes and cancer.
- Comparative genomics across 82 species provided a foundation for developing diverse biomarker-based therapeutics.
- RRAD sequences from diverse organisms offer models for studying gene knockdown effects and identifying drug-design biomarkers.
Conclusions:
- RRAD presents a promising therapeutic target across a wide range of organisms.
- Biomarker identification is essential for advancing drug development strategies targeting RRAD.
- Comparative genomics of RRAD provides valuable insights for future therapeutic interventions.
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