PUBLICATION

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

Authors
Zhang, X., Peng, M., Zhu, J., Zhai, X., Wei, C., Jiao, H., Wu, Z., Huang, S., Liu, M., Li, W., Yang, W., Miao, K., Xu, Q., Chen, L., Hu, P.
ID
ZDB-PUB-250702-15
Date
2025
Source
Nature communications   16: 59525952 (Journal)
Registered Authors
Chen, Liangbiao
Keywords
none
MeSH Terms
  • Zebrafish/embryology
  • Zebrafish/genetics
  • Sequence Analysis, RNA*/methods
  • Benchmarking
  • Single-Cell Analysis*/methods
  • Embryo, Nonmammalian
  • RNA*/chemistry
  • RNA*/genetics
  • RNA*/metabolism
  • High-Throughput Nucleotide Sequencing*/methods
  • Gene Expression Profiling/methods
  • Animals
PubMed
40593761 Full text @ Nat. Commun.
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 through induced base conversions, relies on conversion efficiency, RNA integrity, and transcript recovery. These factors are influenced by the chosen chemical conversion method and platform compatibility. Despite its potential, a comprehensive comparison of chemical methods and platform compatibility has been lacking. Here, we benchmark ten chemical conversion methods using the Drop-seq platform, analyzing 52,529 cells. We find that on-beads methods, particularly the meta-chloroperoxy-benzoic acid/2,2,2-trifluoroethylamine combination, outperform in-situ approaches. To assess in vivo applications, we apply these optimized methods to 9883 zebrafish embryonic cells during the maternal-to-zygotic transition, identifying and experimentally validating zygotically activated transcripts, which enhanced zygotic gene detection capabilities. Additionally, we evaluate two commercial platforms with higher capture efficiency and find that on-beads iodoacetamide chemistry is the most effective. Our results provide critical guidance for selecting optimal chemical methods and scRNA-seq platforms, advancing the study of RNA dynamics in complex biological systems.
Genes / Markers
Figures
Show all Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping