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Next-generation large-scale binary protein interaction network for Drosophila melanogaster.

Authors :
Tang HW
Spirohn K
Hu Y
Hao T
Kovács IA
Gao Y
Binari R
Yang-Zhou D
Wan KH
Bader JS
Balcha D
Bian W
Booth BW
Coté AG
de Rouck S
Desbuleux A
Goh KY
Kim DK
Knapp JJ
Lee WX
Lemmens I
Li C
Li M
Li R
Lim HJ
Liu Y
Luck K
Markey D
Pollis C
Rangarajan S
Rodiger J
Schlabach S
Shen Y
Sheykhkarimli D
TeeKing B
Roth FP
Tavernier J
Calderwood MA
Hill DE
Celniker SE
Vidal M
Perrimon N
Mohr SE
Source :
Nature communications [Nat Commun] 2023 Apr 15; Vol. 14 (1), pp. 2162. Date of Electronic Publication: 2023 Apr 15.
Publication Year :
2023

Abstract

Generating reference maps of interactome networks illuminates genetic studies by providing a protein-centric approach to finding new components of existing pathways, complexes, and processes. We apply state-of-the-art methods to identify binary protein-protein interactions (PPIs) for Drosophila melanogaster. Four all-by-all yeast two-hybrid (Y2H) screens of > 10,000 Drosophila proteins result in the 'FlyBi' dataset of 8723 PPIs among 2939 proteins. Testing subsets of data from FlyBi and previous PPI studies using an orthogonal assay allows for normalization of data quality; subsequent integration of FlyBi and previous data results in an expanded binary Drosophila reference interaction network, DroRI, comprising 17,232 interactions among 6511 proteins. We use FlyBi data to generate an autophagy network, then validate in vivo using autophagy-related assays. The deformed wings (dwg) gene encodes a protein that is both a regulator and a target of autophagy. Altogether, these resources provide a foundation for building new hypotheses regarding protein networks and function.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
37061542
Full Text :
https://doi.org/10.1038/s41467-023-37876-0