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

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) tec...

Full description

Bibliographic Details
Main Authors: Vesna Grujčić, Sami Saarenpää, John Sundh, Bengt Sennblad, Benjamin Norgren, Meike Latz, Stefania Giacomello, Rachel A Foster, Anders F Andersson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296672&type=printable
_version_ 1797349338860486656
author Vesna Grujčić
Sami Saarenpää
John Sundh
Bengt Sennblad
Benjamin Norgren
Meike Latz
Stefania Giacomello
Rachel A Foster
Anders F Andersson
author_facet Vesna Grujčić
Sami Saarenpää
John Sundh
Bengt Sennblad
Benjamin Norgren
Meike Latz
Stefania Giacomello
Rachel A Foster
Anders F Andersson
author_sort Vesna Grujčić
collection DOAJ
description 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.
first_indexed 2024-03-08T12:28:53Z
format Article
id doaj.art-060865f271f340c1ba9c4f9913e88455
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-03-08T12:28:53Z
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-060865f271f340c1ba9c4f9913e884552024-01-22T05:31:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01191e029667210.1371/journal.pone.0296672Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.Vesna GrujčićSami SaarenpääJohn SundhBengt SennbladBenjamin NorgrenMeike LatzStefania GiacomelloRachel A FosterAnders F AnderssonSingle-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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296672&type=printable
spellingShingle Vesna Grujčić
Sami Saarenpää
John Sundh
Bengt Sennblad
Benjamin Norgren
Meike Latz
Stefania Giacomello
Rachel A Foster
Anders F Andersson
Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
PLoS ONE
title Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
title_full Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
title_fullStr Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
title_full_unstemmed Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
title_short Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.
title_sort towards high throughput parallel imaging and single cell transcriptomics of microbial eukaryotic plankton
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296672&type=printable
work_keys_str_mv AT vesnagrujcic towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT samisaarenpaa towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT johnsundh towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT bengtsennblad towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT benjaminnorgren towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT meikelatz towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT stefaniagiacomello towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT rachelafoster towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton
AT andersfandersson towardshighthroughputparallelimagingandsinglecelltranscriptomicsofmicrobialeukaryoticplankton