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Biological and Medical Importance of Cellular Heterogeneity Deciphered by Single-Cell RNA Sequencing

机译:单细胞RNA测序破坏细胞异质性的生物学和医学重要性

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摘要

The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq), which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies (e.g., cancer and Alzheimer’s disease). We outline scRNA-seq techniques that are suitable for investigating cellular heterogeneity that is present in cell populations with very high resolution of the transcriptomic landscape. We summarize scRNA-seq findings and applications of this technology to identify cell types, activity, and other features that are important for the function of different bodily organs. We discuss future directions for scRNA-seq techniques that can link gene expression, protein expression, cellular function, and their roles in pathology. We speculate on how the field could develop beyond its present limitations (e.g., performing scRNA-seq in situ and in vivo). Finally, we discuss the integration of machine learning and artificial intelligence with cutting-edge scRNA-seq technology, which could provide a strong basis for designing precision medicine and targeted therapy in the future.
机译:本综述讨论了单细胞RNA测序(SCRNA-SEQ)中的最近进展,其可以描述各种器官,体液和病理(例如,癌症和阿尔茨海默病)中的细胞异质性。我们概述了适用于研究细胞异质性的SCRNA-SEQ技术,所述细胞异质性具有非常高分辨率的转录组景观的细胞群。我们总结了SCRNA-SEQ调查结果和该技术的应用,以识别对不同体内器官功能很重要的细胞类型,活动和其他功能。我们讨论了可以将基因表达,蛋白质表达,细胞功能及其作用链接在病理学中的基因表达,蛋白质表达,细胞功能及其作用的未来方向。我们推测了该领域如何超出其目前的限制(例如,在原位和体内执行Scrna-SEQ)。最后,我们讨论了机器学习和人工智能与尖端SCRNA-SEQ技术的整合,这可能为未来设计精密药和有针对性疗法的强依据。

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