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◆ Journal of Translational Medicine2025-10-14· Computational biology

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

Haoxuan Luo, Ansar Hussain, Musavir Abbas, Lun Yuan, Youfeng Shen, Ziyuan Zhang, Guorong Sun, Xiujuan Yin, Shan Huang

原始摘要(英文原文)· Original 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.
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Droplet-based single-cell RNA sequencing: decoding cellular heterogeneity for breakthroughs in cancer, reproduction, and beyond — 科研速览 Science Skim