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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מידע ביבליוגרפי

Principais autores:	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
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-07-01
סדרה:	Nature Communications
גישה מקוונת:	https://doi.org/10.1038/s41467-025-61375-z
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