Evidence map›Paper›PMID 33037224›Full record

ArticleScientific data2020

Proteomic and transcriptomic profiling of aerial organ development in Arabidopsis.

Julia Mergner, Martin Frejno, Maxim Messerer, Daniel Lang, Patroklos Samaras, Mathias Wilhelm, Klaus F X Mayer, Claus Schwechheimer, Bernhard Kuster

Open access · goldAbstract readComment
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

23 citing papers in PubMed, 47 citations in OpenAlex.

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  15. Seven plant capacities to adapt to abiotic stress.Journal of experimental botany · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Julia MergnerChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0002-4332-1280
Martin FrejnoChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Maxim MessererPlant Genome and Systems Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich-Neuherberg, Germany.ORCID http://orcid.org/0000-0003-0554-5045
Daniel LangPlant Genome and Systems Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich-Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2166-0716
Patroklos SamarasChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.ORCID http://orcid.org/0000-0001-6042-1585
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany.
Klaus F X MayerPlant Genome and Systems Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich-Neuherberg, Germany.ORCID http://orcid.org/0000-0001-6484-1077
Claus SchwechheimerChair of Plant Systems Biology, Technical University of Munich (TUM), Freising, Germany.
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, Germany. kuster@tum.de.ORCID http://orcid.org/0000-0002-9094-1677
Technical University of Munich · DEHelmholtz Zentrum München · DEBayerische Landesanstalt für Wald und Forstwirtschaft · DE

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) BMBF 031L0168Deutsche Forschungsgemeinschaft (German Research Foundation) SFB924
6 · The paper itself

Abstract

Plant growth and development are regulated by a tightly controlled interplay between cell division, cell expansion and cell differentiation during the entire plant life cycle from seed germination to maturity and seed propagation. To explore some of the underlying molecular mechanisms in more detail, we selected different aerial tissue types of the model plant Arabidopsis thaliana, namely rosette leaf, flower and silique/seed and performed proteomic, phosphoproteomic and transcriptomic analyses of sequential growth stages using tandem mass tag-based mass spectrometry and RNA sequencing. With this exploratory multi-omics dataset, development dynamics of photosynthetic tissues can be investigated from different angles. As expected, we found progressive global expression changes between growth stages for all three omics types and often but not always corresponding expression patterns for individual genes on transcript, protein and phosphorylation site level. The biggest difference between proteomic- and transcriptomic-based expression information could be observed for seed samples. Proteomic and transcriptomic data is available via ProteomeXchange and ArrayExpress with the respective identifiers PXD018814 and E-MTAB-7978.

Indexed as

ArabidopsisProteomeGene Expression ProfilingProteomicsTranscriptomeProteome

Identifiers

PMID33037224
PMCPMC7547660
OpenAlexW3092317437

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.