Evidence map›Paper›PMID 33730513›Full record

ReviewAnnual review of plant biology2021

Advances and Opportunities in Single-Cell Transcriptomics for Plant Research.

Carolin Seyfferth, Jim Renema, Jos R Wendrich, Thomas Eekhout, Ruth Seurinck, Niels Vandamme, Bernhard Blob, Yvan Saeys, Yrjo Helariutta, Kenneth D Birnbaum and 1 more

Abstract readReview
In one paragraph

Review in Annual review of plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

95 citing papers in PubMed.

  1. Single-Cell RNA-Sequencing in Nodulated Roots of Medicago truncatula.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Article
  4. Dual Roles of mCells · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Materiobiology in the omics era.Materials today. Bio · 2025
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carolin SeyfferthDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; email: bert.derybel@psb.vib-ugent.be.
Jim RenemaDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; email: bert.derybel@psb.vib-ugent.be.
Jos R WendrichDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; email: bert.derybel@psb.vib-ugent.be.
Thomas EekhoutDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; email: bert.derybel@psb.vib-ugent.be.
Ruth SeurinckData Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium.
Niels VandammeData Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium.
Bernhard BlobThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Yvan SaeysData Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium.
Yrjo HelariuttaThe Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom.
Kenneth D BirnbaumCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA; email: ken.birnbaum@nyu.edu.
Bert De RybelDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; email: bert.derybel@psb.vib-ugent.be.

Funding

European Research Council 714055
6 · The paper itself

Abstract

Single-cell approaches are quickly changing our view on biological systems by increasing the spatiotemporal resolution of our analyses to the level of the individual cell. The field of plant biology has fully embraced single-cell transcriptomics and is rapidly expanding the portfolio of available technologies and applications. In this review, we give an overview of the main advances in plant single-cell transcriptomics over the past few years and provide the reader with an accessible guideline covering all steps, from sample preparation to data analysis. We end by offering a glimpse of how these technologies will shape and accelerate plant-specific research in the near future.

Indexed as

Single-Cell AnalysisTranscriptomeComputational BiologyPlantsSequence Analysis, RNAcell atlascell trajectoryplant transcriptomicsprotoplastscRNA-seq

Identifiers

PMID33730513
PMCPMC7611048

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.