Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton

PLoS One. 2024 Jan 19;19(1):e0296672. doi: 10.1371/journal.pone.0296672. eCollection 2024.

Abstract

Single-cell transcriptomics has the potential to provide novel insights into poorly studied microbial eukaryotes. Although several such technologies are available and benchmarked on mammalian cells, few have been tested on protists. Here, we applied a microarray single-cell sequencing (MASC-seq) technology, that generates microscope images of cells in parallel with capturing their transcriptomes, on three species representing important plankton groups with different cell structures; the ciliate Tetrahymena thermophila, the diatom Phaeodactylum tricornutum, and the dinoflagellate Heterocapsa sp. Both the cell fixation and permeabilization steps were adjusted. For the ciliate and dinoflagellate, the number of transcripts of microarray spots with single cells were significantly higher than for background spots, and the overall expression patterns were correlated with that of bulk RNA, while for the much smaller diatom cells, it was not possible to separate single-cell transcripts from background. The MASC-seq method holds promise for investigating "microbial dark matter", although further optimizations are necessary to increase the signal-to-noise ratio.

MeSH terms

  • Animals
  • Eukaryota
  • Gene Expression Profiling* / methods
  • Mammals
  • Plankton* / genetics
  • RNA
  • Transcriptome

Substances

  • RNA

Grants and funding

This work was funded by Formas grant 2017-00694 to A.F.A and R.A.F; additional funds from Knut and Alice Wallenberg Foundation to R.A.F supplemented the project. B.S. and J.S are financially supported by the Knut and Alice Wallenberg Foundation as part of the National Bioinformatics Infrastructure Sweden at SciLifeLab. https://formas.se/https://kaw.wallenberg.org/en The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.