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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)
Verlagsversion DOI PMC
Free by publisher
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter 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
Zeitschrift Proceedings of the National Academy of Sciences of the United States of America
Quellenangaben Band: 117, Heft: 21, Seiten: 11836-11842 Artikelnummer: , Supplement: ,
Verlag National Academy of Sciences
Verlagsort 2101 Constitution Ave Nw, Washington, Dc 20418 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Network Biology (INET)