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Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics
Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium; VIB Centre for Plant Systems Biology, Ghent 9052, Belgium.
Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium; VIB Centre for Plant Systems Biology, Ghent 9052, Belgium; VIB Single Cell Core Facility, Ghent 9052, Belgium.
Centre for Organismal Studies, Heidelberg University, 69120 Heidelberg, Germany; Institute of Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany.
Institute of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany.
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2024 (English)In: The Plant Cell, ISSN 1040-4651, E-ISSN 1532-298X, Vol. 36, no 4, p. 812-828Article, review/survey (Refereed) Published
Abstract [en]

Single-cell and single-nucleus RNA-sequencing technologies capture the expression of plant genes at an unprecedented resolution. Therefore, these technologies are gaining traction in plant molecular and developmental biology for elucidating the transcriptional changes across cell types in a specific tissue or organ, upon treatments, in response to biotic and abiotic stresses, or between genotypes. Despite the rapidly accelerating use of these technologies, collective and standardized experimental and analytical procedures to support the acquisition of high-quality data sets are still missing. In this commentary, we discuss common challenges associated with the use of single-cell transcriptomics in plants and propose general guidelines to improve reproducibility, quality, comparability, and interpretation and to make the data readily available to the community in this fast-developing field of research.

Place, publisher, year, edition, pages
Oxford University Press (OUP) , 2024. Vol. 36, no 4, p. 812-828
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Bioinformatics and Computational Biology
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URN: urn:nbn:se:kth:diva-367032DOI: 10.1093/plcell/koae003ISI: 001156421600001PubMedID: 38231860Scopus ID: 2-s2.0-85187579079OAI: oai:DiVA.org:kth-367032DiVA, id: diva2:1983654
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QC 20250711

Available from: 2025-07-11 Created: 2025-07-11 Last updated: 2025-07-11Bibliographically approved

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Giacomello, Stefania

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