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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 DOI
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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Publication type Article: Journal article
Document type Scientific Article
Keywords Computational Platform; Comprehensive Analysis; Agc Kinases; Phosphorylation; Expression; Identification; Proteins; Database; Reveals; Network
ISSN (print) / ISBN 0028-0836
e-ISSN 1476-4687
Journal Nature
Quellenangaben Volume: 579, Issue: 7799, Pages: 409-414 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Research Unit Plant Genome and Systems Biology (PGSB)
Institute of Network Biology (INET)