Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data

Title:Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data

Volume: 19 Issue: 9

Author(s): Jiacheng Wang*Lei Yuan

Affiliation:

• Department of Hepatobiliary Surgery, Quzhou People's Hospital, 100# Minjiang Main Road, Quzhou, Zhejiang, 324000, China
• Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
• Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, Zhejiang, China

Abstract:

Background: The advent of single-cell RNA sequencing (scRNA-seq) technology has offered unprecedented opportunities to unravel cellular heterogeneity and functions. Yet, despite its success in unraveling gene expression heterogeneity, accurately identifying and interpreting alternative splicing events from scRNA-seq data remains a formidable challenge. With advancing technology and algorithmic innovations, the prospect of accurately identifying alternative splicing events from scRNA-seq data is becoming increasingly promising.

Objective: This perspective aims to uncover the intricacies of splicing at the single-cell level and their potential implications for health and disease. It seeks to harness scRNA-seq's transformative power in revealing cell-specific alternative splicing dynamics and aims to propel our understanding of gene regulation within individual cells to new heights.

Methods: The perspective grounds its method on recent literature along with the experimental protocols of single-cell RNA-seq and methods to identify and quantify the alternative splicing events from scRNA-seq data.

Results: This perspective outlines the promising potential, challenges, and methodologies for leveraging different scRNA-seq technologies to identify and study alternative splicing events, with a focus on advancing our understanding of gene regulation at the single-cell level.

Conclusion: This perspective explores the prospects of utilizing scRNA-seq data to identify and study alternative splicing events, highlighting their potential, challenges, methodologies, biological insights, and future directions.

Cite this article as:

Wang Jiacheng*, Yuan Lei, Prospects of Identifying Alternative Splicing Events from Single-Cell RNA Sequencing Data, Current Bioinformatics 2024; 19 (9) . https://dx.doi.org/10.2174/0115748936279561231214072041