Improving the RNA velocity approach using long-read single cell sequencing

Zhang, C.; Chen, W.; Fang, Y.; Chen, Z.; Xie, Y.; Xie, Z.; Guo, M.; Wang, J.; Tan, C.; Wang, H.; Tang, C.

doi:10.1101/2022.05.02.490352

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bioRxiv · 10.1101/2022.05.02.490352

Improving the RNA velocity approach using long-read single cell sequencing

Zhang, C.·Chen, W.·Fang, Y.·Chen, Z.·Xie, Y.·Xie, Z.·Guo, M.·Wang, J.·Tan, C.·Wang, H.·Tang, C.

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Abstract

The concept of RNA velocity has been recently developed that allowed to look at the otherwise static single-cell RNA sequencing data in a dynamic way, which permitted inferences about cell fates. However, the more precise parameters, such as the number of exons/introns, can also be determined using long-read methods. Comparing the numbers of exons and introns allows including more genes for downstream velocity analysis and resolves the precise cell fate. The recently developed concept of "RNA velocity" concerns with dynamic changes in mRNA expression and complements single-cell RNA sequencing (scRNA-seq) data, which are static snapshots of a certain cell state taken at a given time point1. RNA velocity measures the change in mRNA abundance by differentiating the newly transcribed unspliced pre-mRNAs from mature spliced mRNAs. The rapidly developing long-read sequencing technology lends itself for RNA velocity analysis of scRNA-seq data, which was previously performed primarily using second-generation sequencing.

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Zhang, C., Chen, W., Fang, Y., Chen, Z., Xie, Y., Xie, Z., Guo, M., Wang, J., Tan, C., Wang, H., Tang, C.. 2022-05-02. Improving the RNA velocity approach using long-read single cell sequencing. https://doi.org/10.1101/2022.05.02.490352

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