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Mergner, J.* ; Frejno, M.* ; List, M.* ; Papacek, M.* ; Chen, X.* ; Chaudhary, A.* ; Samaras, P.* ; Richter, S.* ; Shikata, H.* ; Messerer, M. ; Lang, D. ; Altmann, S. ; Cyprys, P.* ; Zolg, D.P.* ; Mathieson, T.* ; Bantscheff, M.* ; Hazarika, R.R.* ; Schmidt, T.* ; Dawid, C.* ; Dunkel, A.* ; Hofmann, T.* ; Sprunck, S.* ; Falter-Braun, P. ; Johannes, F.* ; Mayer, K.F.X. ; Jürgens, G.* ; Wilhelm, M.* ; Baumbach, J.* ; Grill, E.* ; Schneitz, K.* ; Schwechheimer, C.* ; Kuster, B.*

Mass-spectrometry-based draft of the Arabidopsis proteome.

Nature 579, 409-414 (2020)
Postprint Forschungsdaten DOI PMC
Open Access Green
Plants are essential for life and are extremely diverse organisms with unique molecular capabilities(1). 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.A quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana provides a valuable resource for plant research.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Computational Platform; Comprehensive Analysis; Agc Kinases; Phosphorylation; Expression; Identification; Proteins; Database; Reveals; Network
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 0028-0836
e-ISSN 1476-4687
Zeitschrift Nature
Quellenangaben Band: 579, Heft: 7799, Seiten: 409-414 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Plant Genome and Systems Biology (PGSB)
Institute of Network Biology (INET)
POF Topic(s) 30202 - Environmental Health
30203 - Molecular Targets and Therapies
Forschungsfeld(er) Environmental Sciences
PSP-Element(e) G-503500-002
G-506400-001
DOI 10.1038/s41586-020-2094-2
WOS ID WOS:000520778000020
WOS ID WOS:000519162500007
Scopus ID 85081892519
PubMed ID 32188942
Erfassungsdatum 2020-03-26
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