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Wierbowski, S.D.* ; Vo, T.V.* ; Falter-Braun, P. ; Jobe, T.O.* ; Kruse, L.H.* ; Wei, X.* ; Liang, J.* ; Meyer, M.J.* ; Akturk, N.* ; Rivera-Erick, C.A.* ; Cordero, N.A.* ; Paramo, M.I.* ; Shayhidin, E.E.* ; Bertolotti, M.* ; Tippens, N.D.* ; Akther, K.* ; Sharma, R.* ; Katayose, Y.* ; Salehi-Ashtiani, K.* ; Hao, T.* ; Ronald, P.C.* ; Ecker, J.R.* ; Schweitzer, P.A.* ; Kikuchi, S.* ; Mizuno, H.* ; Hill, D.E.* ; Vidal, M.* ; Moghe, G.D.* ; McCouch, S.R.* ; Yu, H.*

A massively parallel barcoded sequencing pipeline enables generation of the first ORFeome and interactome map for rice.

Proc. Natl. Acad. Sci. U.S.A. 117, 11836-11842 (2020)
Publ. Version/Full Text DOI PMC
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Open Access Green as soon as Postprint is submitted to ZB.
Systematic mappings of protein interactome networks have provided invaluable functional information for numerous model organisms. Here we develop PCR-mediated Linkage of barcoded Adapters To nucleic acid Elements for sequencing (PLATE-seq) that serves as a general tool to rapidly sequence thousands of DNA elements. We validate its utility by generating the ORFeome for Oryza sativa covering 2,300 genes and constructing a high-quality protein-protein interactome map consisting of 322 interactions between 289 proteins, expanding the known interactions in rice by roughly 50%. Our work paves the way for high-throughput profiling of protein-protein interactions in a wide range of organisms.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Protein-protein Interaction ; Rice ; Orfeome ; Next-generation Sequencing ; Networks; Network Evolution; Stress-response; Version 1.1; Proteome; Database; Annotation; Platform; Cloning; Proteasome; Proteins
ISSN (print) / ISBN 0027-8424
e-ISSN 1091-6490
Journal Proceedings of the National Academy of Sciences of the United States of America
Quellenangaben Volume: 117, Issue: 21, Pages: 11836-11842 Article Number: , Supplement: ,
Publisher National Academy of Sciences
Publishing Place 2101 Constitution Ave Nw, Washington, Dc 20418 Usa
Reviewing status Peer reviewed
Institute(s) Institute of Network Biology (INET)