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Improving the RNA velocity approach with single-cell RNA lifecycle (nascent, mature and degrading RNAs) sequencing technologies.

Chen ZhangYitong FangWeitian ChenZhichao ChenYing ZhangYeming XieWenfang ChenZhe XieMei GuoJuan WangChen TanHongqi WangChong Tang
Published in: Nucleic acids research (2023)
We presented an experimental method called FLOUR-seq, which combines BD Rhapsody and nanopore sequencing to detect the RNA lifecycle (including nascent, mature, and degrading RNAs) in cells. Additionally, we updated our HIT-scISOseq V2 to discover a more accurate RNA lifecycle using 10x Chromium and Pacbio sequencing. Most importantly, to explore how single-cell full-length RNA sequencing technologies could help improve the RNA velocity approach, we introduced a new algorithm called 'Region Velocity' to more accurately configure cellular RNA velocity. We applied this algorithm to study spermiogenesis and compared the performance of FLOUR-seq with Pacbio-based HIT-scISOseq V2. Our findings demonstrated that 'Region Velocity' is more suitable for analyzing single-cell full-length RNA data than traditional RNA velocity approaches. These novel methods could be useful for researchers looking to discover full-length RNAs in single cells and comprehensively monitor RNA lifecycle in cells.
Keyphrases
  • single cell
  • rna seq
  • induced apoptosis
  • high throughput
  • blood flow
  • nucleic acid
  • cell cycle arrest
  • mass spectrometry
  • cell death
  • dna methylation
  • single molecule
  • neural network