ArticleCommunications biology2021
A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Empowering fungal infection research with single-cell RNA sequencing.Communications biology · 2026Review
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
- Review
- Advanced genetic techniques in fungal pathogen research.mSphere · 2024Review
- An ultra high-throughput, massively multiplexable, single-cell RNA-seq platform in yeasts.Yeast (Chichester, England) · 2024Article
- Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.PloS one · 2024Article
- The Dynamic Fungal Genome: Polyploidy, Aneuploidy and Copy Number Variation in Response to Stress.Annual review of microbiology · 2023Review
- Integration of silicon chip microstructures for in-line microbial cell lysis in soft microfluidics.Lab on a chip · 2023Article
- Fungal biotechnology: From yesterday to tomorrow.Frontiers in fungal biology · 2023Review
- Challenges and potential solutions for studying the genetic and phenotypic architecture of adaptation in microbes.Current opinion in genetics & development · 2022Review
- Article
- mDrop-Seq: Massively Parallel Single-Cell RNA-Seq ofVaccines · 2021Article
- A yeast-optimized single-cell transcriptomics platform elucidates how mycophenolic acid and guanine alter global mRNA levels.Communications biology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Stochastic gene expression leads to inherent variability in expression outcomes even in isogenic single-celled organisms grown in the same environment. The Drop-Seq technology facilitates transcriptomic studies of individual mammalian cells, and it has had transformative effects on the characterization of cell identity and function based on single-cell transcript counts. However, application of this technology to organisms with different cell size and morphology characteristics has been challenging. Here we present yeastDrop-Seq, a yeast-optimized platform for quantifying the number of distinct mRNA molecules in a cell-specific manner in individual yeast cells. Using yeastDrop-Seq, we measured the transcriptomic impact of the lifespan-extending compound mycophenolic acid and its epistatic agent guanine. Each treatment condition had a distinct transcriptomic footprint on isogenic yeast cells as indicated by distinct clustering with clear separations among the different groups. The yeastDrop-Seq platform facilitates transcriptomic profiling of yeast cells for basic science and biotechnology applications.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.