Mergner, Julia and Frejno, Martin and List, Markus and Papacek, Michael and Chen, Xia and Chaudhary, Ajeet and Samaras, Patroklos and Richter, Sandra and Shikata, Hiromasa and Messerer, Maxim and Lang, Daniel and Altmann, Stefan and Cyprys, Philipp and Zolg, Daniel P. and Mathieson, Toby and Bantscheff, Marcus and Hazarika, Rashmi R. and Schmidt, Tobias and Dawid, Corinna and Dunkel, Andreas and Hofmann, Thomas and Sprunck, Stefanie and Falter-Braun, Pascal and Johannes, Frank and Mayer, Klaus F. X. and Juergens, Gerd and Wilhelm, Mathias and Baumbach, Jan and Grill, Erwin and Schneitz, Kay and Schwechheimer, Claus and Kuster, Bernhard (2020) Mass-spectrometry-based draft of the Arabidopsis proteome. NATURE, 579 (7799). 409-+. ISSN 0028-0836, 1476-4687
Full text not available from this repository. (Request a copy)Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COMPUTATIONAL PLATFORM; COMPREHENSIVE ANALYSIS; AGC KINASES; PHOSPHORYLATION; EXPRESSION; IDENTIFICATION; PROTEINS; DATABASE; REVEALS; NETWORK; |
| Subjects: | 500 Science > 580 Botanical sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Lehrstuhl für Zellbiologie und Pflanzenphysiologie (Prof. Dr. Klaus Grasser) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 29 Mar 2021 08:34 |
| Last Modified: | 29 Mar 2021 08:34 |
| URI: | https://pred.uni-regensburg.de/id/eprint/44948 |
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