Benchmarking metabolic RNA labeling techniques for high-throughput single-cell RNA sequencing

Benchmarking metabolic RNA labeling techniques for high-throughput single-cell RNA sequencing

Abstract Metabolic RNA labeling with high-throughput single-cell RNA sequencing (scRNA-seq) enables precise measurement of gene expression dynamics in complex biological processes, such as cell state transitions and embryogenesis. This technique, which tags newly synthesized RNA for detection throug...

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Main Authors: Xiaowen Zhang, Mingjian Peng, Jianghao Zhu, Xue Zhai, Chaoguang Wei, He Jiao, Zhichao Wu, Songqian Huang, Mingli Liu, Wenhao Li, Wenyi Yang, Kai Miao, Qiongqiong Xu, Liangbiao Chen, Peng Hu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-61375-z
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https://doi.org/10.1038/s41467-025-61375-z

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