仿形(计算机编程)
计算生物学
转录组
基因组
计算机科学
生物
遗传学
基因
基因表达
操作系统
作者
Jueun Han,Yejin Song,Ji Hee Lee,Khulan Nyamzaya,Eunjung Kim
出处
期刊:Nanoscale
[Royal Society of Chemistry]
日期:2025-01-01
卷期号:17 (37): 21345-21378
被引量:4
摘要
RNA sequencing and hybridization have enabled high-resolution gene expression mapping in tissue architecture, providing invaluable insights into cellular heterogeneity and disease microenvironments. This review comprehensively explores the fundamental principles, design modifications, and advanced signal amplification strategies of RCA, with a focus on its applications in molecular diagnostics, genome analysis, and spatial transcriptome profiling. Additionally, it addresses key challenges, including reaction specificity, automation, and cost-effectiveness, and discusses future directions for integrating RCA into high-throughput molecular diagnostics, biomarker discovery, and single-cell and spatial multi-omics platforms. Through continuous innovation, RCA is poised to play a transformative role in precision medicine, next-generation sequencing, and biomedical research.
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