Mass-spectrometry-based draft of the Arabidopsis proteome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-03-11

AUTHORS

Julia Mergner, Martin Frejno, Markus List, Michael Papacek, Xia Chen, Ajeet Chaudhary, Patroklos Samaras, Sandra Richter, Hiromasa Shikata, Maxim Messerer, Daniel Lang, Stefan Altmann, Philipp Cyprys, Daniel P. Zolg, Toby Mathieson, Marcus Bantscheff, Rashmi R. Hazarika, Tobias Schmidt, Corinna Dawid, Andreas Dunkel, Thomas Hofmann, Stefanie Sprunck, Pascal Falter-Braun, Frank Johannes, Klaus F. X. Mayer, Gerd Jürgens, Mathias Wilhelm, Jan Baumbach, Erwin Grill, Kay Schneitz, Claus Schwechheimer, Bernhard Kuster

ABSTRACT

Plants are essential for life and are extremely diverse organisms with unique molecular capabilities1. Here we present a quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana. Our analysis provides initial answers to how many genes exist as proteins (more than 18,000), where they are expressed, in which approximate quantities (a dynamic range of more than six orders of magnitude) and to what extent they are phosphorylated (over 43,000 sites). We present examples of how the data may be used, such as to discover proteins that are translated from short open-reading frames, to uncover sequence motifs that are involved in the regulation of protein production, and to identify tissue-specific protein complexes or phosphorylation-mediated signalling events. Interactive access to this resource for the plant community is provided by the ProteomicsDB and ATHENA databases, which include powerful bioinformatics tools to explore and characterize Arabidopsis proteins, their modifications and interactions. More... »

PAGES

409-414

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  • Journal

    TITLE

    Nature

    ISSUE

    7799

    VOLUME

    579

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41586-020-2094-2

    DOI

    http://dx.doi.org/10.1038/s41586-020-2094-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1125546497

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/32188942


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