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Research Article Open access CC BY 4.0

Transforming Transcriptomics: The Impact of RNA Sequencing Technology

Ashish Kumar Nirmal, N T Pramathesh Mishra, Shweta Mishra, Shreya Talreja, Bushra Fatima, Sakshi Srivastava, Chandani Nigam, Shivendra Misra

Asian Journal of Medicine and Health · pp. 40–57 · Published 30 Sep 2024

10.9734/ajmah/2024/v22i101103

Abstract

Aim: This study aimed to explore the advancements, methodologies, and applications of RNA sequencing (RNA-seq) technology, emphasizing its transformative impact on genomic research. Study Design: The research involved an in-depth review of RNA-seq technology, focusing on the steps of sample preparation, sequencing, and data analysis. Place and Duration of Study: Conducted through a detailed literature review over six months, at Hygia college of Pharmacy the study sourced information from various molecular biology and genomics publications. Methodology: Advanced computational techniques were utilized to map and quantify RNA sequences, facilitating a comprehensive analysis of gene expression patterns, alternative splicing, and novel transcript discovery. High-throughput sequencing platforms like Illumina and PacBio generated extensive datasets from diverse biological samples, including tissues, single cells, and environmental microbiomes. Results: The results highlighted RNA-seq's ability to provide a high-resolution view of the transcriptome, surpassing previous technologies in both sensitivity and accuracy. RNA-seq uncovered critical insights into differential gene expression, identifying significant pathways involved in development, disease, and environmental responses. The technology also discovered numerous previously unannotated transcripts and isoforms, contributing to the expansion of existing genomic databases. Conclusion: The study concludes that RNA-seq is a crucial advancement in molecular biology, offering unprecedented insights into gene regulation and expression. Its adoption has facilitated significant breakthroughs in understanding cellular processes, disease mechanisms, and therapeutic targets. As RNA-seq technology continues to evolve, it promises to drive further innovations and applications across diverse fields in the life sciences.

RNA sequencing transcriptome gene expression alternative splicing high-throughput sequencing

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