Evidence map›Paper›PMID 34142712›Full record

ArticleDevelopment (Cambridge, England)2021

Gene expression variation in Arabidopsis embryos at single-nucleus resolution.

Ping Kao, Michael A Schon, Magdalena Mosiolek, Balaji Enugutti, Michael D Nodine

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  8. Dissecting the cellular architecture and genetic circuitry of the soybean seed.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  19. Weighted Gene Correlation Network Analysis (WGCNA) ofInternational journal of genomics · 2022
    Article
  20. Review
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

5 authors.

Ping KaoGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Bio Center (VBC), Dr Bohr-Gasse 3, 1030 Vienna, Austria.
Michael A SchonGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Bio Center (VBC), Dr Bohr-Gasse 3, 1030 Vienna, Austria.ORCID 0000-0002-4756-3906
Magdalena MosiolekGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Bio Center (VBC), Dr Bohr-Gasse 3, 1030 Vienna, Austria.ORCID 0000-0002-2204-1298
Balaji EnuguttiGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Bio Center (VBC), Dr Bohr-Gasse 3, 1030 Vienna, Austria.ORCID 0000-0002-0816-024X
Michael D NodineGregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Bio Center (VBC), Dr Bohr-Gasse 3, 1030 Vienna, Austria.ORCID 0000-0002-6204-8857

Funding

Interreg V-A Austria-Czech Republic ATCZ40Österreichischen Akademie der Wissenschaften
6 · The paper itself

Abstract

Soon after fertilization of egg and sperm, plant genomes become transcriptionally activated and drive a series of coordinated cell divisions to form the basic body plan during embryogenesis. Early embryonic cells rapidly diversify from each other, and investigation of the corresponding gene expression dynamics can help elucidate underlying cellular differentiation programs. However, current plant embryonic transcriptome datasets either lack cell-specific information or have RNA contamination from surrounding non-embryonic tissues. We have coupled fluorescence-activated nuclei sorting together with single-nucleus mRNA-sequencing to construct a gene expression atlas of Arabidopsis thaliana early embryos at single-cell resolution. In addition to characterizing cell-specific transcriptomes, we found evidence that distinct epigenetic and transcriptional regulatory mechanisms operate across emerging embryonic cell types. These datasets and analyses, as well as the approach we devised, are expected to facilitate the discovery of molecular mechanisms underlying pattern formation in plant embryos. This article has an associated 'The people behind the papers' interview.

Indexed as

Gene Expression Regulation, DevelopmentalGene Expression Regulation, PlantTranscriptomeArabidopsisCell NucleusEmbryonic DevelopmentEpigenomicsGene Expression ProfilingGenome, PlantPlant CellsRNA, MessengerTranscription FactorsRNA, MessengerTranscription FactorsArabidopsisEmbryoEpigeneticGene expressionSingle-nucleus RNA-seqTranscription factor

Identifiers

PMID34142712
PMCPMC8276985

What OpenQuestion holds

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LicenceCC BY
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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.