A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels

Guste Urbonaite and Jimmy Tsz Hang Lee et al. present a droplet-based single-cell sequencing method optimized for use in yeast. They use their method—yeastDropSeq—to investigate the changes in gene expression profiles following treatment with the lifespan-extending compound mycophenolic acid and/or...

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Bibliographic Details
Main Authors: Guste Urbonaite, Jimmy Tsz Hang Lee, Ping Liu, Guillermo E. Parada, Martin Hemberg, Murat Acar
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-021-02320-w
Description
Summary:Guste Urbonaite and Jimmy Tsz Hang Lee et al. present a droplet-based single-cell sequencing method optimized for use in yeast. They use their method—yeastDropSeq—to investigate the changes in gene expression profiles following treatment with the lifespan-extending compound mycophenolic acid and/or its epistatic agent, guanine.
ISSN:2399-3642