Evidence map›Paper›PMID 34562694›Full record

ReviewCurrent opinion in plant biology2022

Advancing root developmental research through single-cell technologies.

Max Minne, Yuji Ke, Maite Saura-Sanchez, Bert De Rybel

Abstract readReview
In one paragraph

Review in Current opinion in plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Single Cell RNA-Sequencing in Arabidopsis Root Tissues.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Article
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

4 authors.

Max MinneGhent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium.
Yuji KeGhent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium.
Maite Saura-SanchezGhent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium.
Bert De RybelGhent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium. Electronic address: beryb@psb.vib-ugent.be.

Funding

European Research Council 714055
6 · The paper itself

Abstract

Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.

Indexed as

ArabidopsisMeristemRNASingle-Cell AnalysisTranscriptomeRNARoot developmentSingle-cell transcriptomicsSingle-nucleus transcriptomicsSpatial transcriptomics

Identifiers

PMID34562694
PMCPMC7611778

What OpenQuestion holds

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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.