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.

中文翻译：

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从单细胞 RNA 测序数据中识别选择性剪接事件的前景

背景：单细胞 RNA 测序 (scRNA-seq) 技术的出现为揭示细胞异质性和功能提供了前所未有的机会。然而，尽管它成功地揭示了基因表达异质性，但从 scRNA-seq 数据中准确识别和解释选择性剪接事件仍然是一个艰巨的挑战。随着技术的进步和算法的创新，从 scRNA-seq 数据中准确识别选择性剪接事件的前景变得越来越有希望。 目标：这一观点旨在揭示单细胞水平剪接的复杂性及其对健康和疾病的潜在影响。它试图利用 scRNA-seq 的变革力量来揭示细胞特异性的选择性剪接动态，并旨在将我们对单个细胞内基因调控的理解推向新的高度。方法：该观点的方法基于最近的文献、单细胞 RNA-seq 的实验方案以及从 scRNA-seq 数据中识别和量化选择性剪接事件的方法。结果：该观点概述了利用不同 scRNA-seq 技术来识别和研究选择性剪接事件的有希望的潜力、挑战和方法，重点是增进我们对单细胞水平基因调控的理解。结论：本视角探讨了利用 scRNA-seq 数据识别和研究选择性剪接事件的前景，强调了它们的潜力、挑战、方法、生物学见解和未来方向。