Droplet-based single-cell RNA sequencing: decoding cellular heterogeneity for breakthroughs in cancer, reproduction, and beyond

基于液滴的单细胞RNA测序:解码细胞异质性,助力癌症、生殖及其他领域的突破

阅读:1

Abstract

Droplet-based single-cell RNA sequencing (scRNA-seq) has redefined biological research by resolving cellular heterogeneity with an unprecedented precision. This review synthesizes the technological evolution of the 10× Genomics Chromium platform, its Gel Bead-in-Emulsion (GEM)s technology, and end-to-end workflows, while critically addressing persistent challenges, such as cell capture variability (30-75% efficiency), barcode collisions (< 5% multiplet rates), and mRNA capture limitations (10-50% efficiency). We spotlight two transformative applications: (1) cancer research, where scRNA-seq unveils rare circulating tumor cells (CTCs) and dynamic tumor microenvironments, and (2) reproductive medicine, enabling breakthroughs in primordial germ cell (PGC) epigenetics and pre-implantation diagnostics. Unlike prior reviews, we systematically evaluated innovative solutions-including UMIs, computational demultiplexing, and microfluidic cost-reduction strategies (40-60% savings)-and propose a roadmap for integrating spatial transcriptomics and multi-omics approaches. Looking ahead, we identify three frontiers poised to redefine the field: (i) single-cell epigenome-transcriptome co-profiling, (ii) AI-driven analysis of multimodal datasets, and (iii) scalable microfluidics for clinical adoption. This review is of key significance in bridging cutting-edge technology with translational impact in oncology and reproductive biology, while outlining a roadmap for the evolution of the field.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。