IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-37876-0.html
   My bibliography  Save this article

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

Author

Listed:
  • Hong-Wen Tang

    (Harvard Medical School
    Duke-NUS Medical School
    Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore)

  • Kerstin Spirohn

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Yanhui Hu

    (Harvard Medical School)

  • Tong Hao

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • István A. Kovács

    (Dana-Farber Cancer Institute
    Northwestern University
    Northwestern University)

  • Yue Gao

    (Harvard Medical School)

  • Richard Binari

    (Harvard Medical School
    Howard Hughes Medical Institute)

  • Donghui Yang-Zhou

    (Harvard Medical School)

  • Kenneth H. Wan

    (Lawrence Berkeley National Laboratory)

  • Joel S. Bader

    (Whiting School of Engineering, Johns Hopkins University
    Institute of Basic Biological Sciences, Johns Hopkins School of Medicine)

  • Dawit Balcha

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Wenting Bian

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Benjamin W. Booth

    (Lawrence Berkeley National Laboratory)

  • Atina G. Coté

    (Dana-Farber Cancer Institute
    University of Toronto
    Sinai Health, 600 University Ave)

  • Steffi Rouck

    (Cytokine Receptor Lab, VIB Center for Medical Biotechnology)

  • Alice Desbuleux

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Kah Yong Goh

    (Duke-NUS Medical School)

  • Dae-Kyum Kim

    (Roswell Park Comprehensive Cancer Center)

  • Jennifer J. Knapp

    (University of Toronto
    Sinai Health, 600 University Ave)

  • Wen Xing Lee

    (Duke-NUS Medical School)

  • Irma Lemmens

    (Cytokine Receptor Lab, VIB Center for Medical Biotechnology)

  • Cathleen Li

    (Harvard Medical School)

  • Mian Li

    (Harvard Medical School)

  • Roujia Li

    (Dana-Farber Cancer Institute
    University of Toronto
    Sinai Health, 600 University Ave)

  • Hyobin Julianne Lim

    (Roswell Park Comprehensive Cancer Center)

  • Yifang Liu

    (Harvard Medical School)

  • Katja Luck

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Dylan Markey

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Carl Pollis

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Sudharshan Rangarajan

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Jonathan Rodiger

    (Harvard Medical School)

  • Sadie Schlabach

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Yun Shen

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Dayag Sheykhkarimli

    (Dana-Farber Cancer Institute
    University of Toronto
    Sinai Health, 600 University Ave)

  • Bridget TeeKing

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Frederick P. Roth

    (Dana-Farber Cancer Institute
    University of Toronto
    Sinai Health, 600 University Ave
    University of Toronto)

  • Jan Tavernier

    (Cytokine Receptor Lab, VIB Center for Medical Biotechnology)

  • Michael A. Calderwood

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • David E. Hill

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Susan E. Celniker

    (Lawrence Berkeley National Laboratory)

  • Marc Vidal

    (Harvard Medical School
    Dana-Farber Cancer Institute)

  • Norbert Perrimon

    (Harvard Medical School
    Howard Hughes Medical Institute)

  • Stephanie E. Mohr

    (Harvard Medical School)

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.

Suggested Citation

  • Hong-Wen Tang & Kerstin Spirohn & Yanhui Hu & Tong Hao & István A. Kovács & Yue Gao & Richard Binari & Donghui Yang-Zhou & Kenneth H. Wan & Joel S. Bader & Dawit Balcha & Wenting Bian & Benjamin W. Bo, 2023. "Next-generation large-scale binary protein interaction network for Drosophila melanogaster," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37876-0
    DOI: 10.1038/s41467-023-37876-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-37876-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-37876-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. István A. Kovács & Katja Luck & Kerstin Spirohn & Yang Wang & Carl Pollis & Sadie Schlabach & Wenting Bian & Dae-Kyum Kim & Nishka Kishore & Tong Hao & Michael A. Calderwood & Marc Vidal & Albert-Lász, 2019. "Network-based prediction of protein interactions," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    2. Christian Behrends & Mathew E. Sowa & Steven P. Gygi & J. Wade Harper, 2010. "Network organization of the human autophagy system," Nature, Nature, vol. 466(7302), pages 68-76, July.
    3. Katja Luck & Dae-Kyum Kim & Luke Lambourne & Kerstin Spirohn & Bridget E. Begg & Wenting Bian & Ruth Brignall & Tiziana Cafarelli & Francisco J. Campos-Laborie & Benoit Charloteaux & Dongsic Choi & At, 2020. "A reference map of the human binary protein interactome," Nature, Nature, vol. 580(7803), pages 402-408, April.
    4. Soon Gang Choi & Julien Olivet & Patricia Cassonnet & Pierre-Olivier Vidalain & Katja Luck & Luke Lambourne & Kerstin Spirohn & Irma Lemmens & Mélanie Dos Santos & Caroline Demeret & Louis Jones & Sud, 2019. "Maximizing binary interactome mapping with a minimal number of assays," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    5. Orit Rozenblatt-Rosen & Rahul C. Deo & Megha Padi & Guillaume Adelmant & Michael A. Calderwood & Thomas Rolland & Miranda Grace & Amélie Dricot & Manor Askenazi & Maria Tavares & Samuel J. Pevzner & F, 2012. "Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins," Nature, Nature, vol. 487(7408), pages 491-495, July.
    6. James B. Brown & Nathan Boley & Robert Eisman & Gemma E. May & Marcus H. Stoiber & Michael O. Duff & Ben W. Booth & Jiayu Wen & Soo Park & Ana Maria Suzuki & Kenneth H. Wan & Charles Yu & Dayu Zhang &, 2014. "Diversity and dynamics of the Drosophila transcriptome," Nature, Nature, vol. 512(7515), pages 393-399, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bingjie Hao & István A. Kovács, 2023. "A positive statistical benchmark to assess network agreement," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Xiaoting Zhou & You-Kyung Lee & Xianting Li & Henry Kim & Carlos Sanchez-Priego & Xian Han & Haiyan Tan & Suiping Zhou & Yingxue Fu & Kerry Purtell & Qian Wang & Gay R. Holstein & Beisha Tang & Junmin, 2024. "Integrated proteomics reveals autophagy landscape and an autophagy receptor controlling PKA-RI complex homeostasis in neurons," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Lee, Yan-Li & Zhou, Tao, 2021. "Collaborative filtering approach to link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    4. Patrick Bryant & Gabriele Pozzati & Wensi Zhu & Aditi Shenoy & Petras Kundrotas & Arne Elofsson, 2022. "Predicting the structure of large protein complexes using AlphaFold and Monte Carlo tree search," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    5. Yu, Jiating & Wu, Ling-Yun, 2022. "Multiple Order Local Information model for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    6. Xuedi Zhang & Ju Peng & Menghua Wu & Angyang Sun & Xiangyu Wu & Jie Zheng & Wangfei Shi & Guanjun Gao, 2023. "Broad phosphorylation mediated by testis-specific serine/threonine kinases contributes to spermiogenesis and male fertility," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    7. Timothy C Matisziw & Tony H Grubesic & Junyu Guo, 2012. "Robustness Elasticity in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-10, July.
    8. Seungjae Lee & Yen-Chung Chen & Austin E. Gillen & J. Matthew Taliaferro & Bart Deplancke & Hongjie Li & Eric C. Lai, 2022. "Diverse cell-specific patterns of alternative polyadenylation in Drosophila," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    9. Erica W. Carter & Orlene Guerra Peraza & Nian Wang, 2023. "The protein interactome of the citrus Huanglongbing pathogen Candidatus Liberibacter asiaticus," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    10. Ghulam Muhiuddin & Sovan Samanta & Abdulrahman F. Aljohani & Abeer M. Alkhaibari, 2023. "A Study on Graph Centrality Measures of Different Diseases Due to DNA Sequencing," Mathematics, MDPI, vol. 11(14), pages 1-18, July.
    11. Aziz, Furqan & Gul, Haji & Muhammad, Ishtiaq & Uddin, Irfan, 2020. "Link prediction using node information on local paths," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    12. Diego Esposito & Jane Dudley-Fraser & Acely Garza-Garcia & Katrin Rittinger, 2022. "Divergent self-association properties of paralogous proteins TRIM2 and TRIM3 regulate their E3 ligase activity," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    13. Zhou, Tao, 2023. "Discriminating abilities of threshold-free evaluation metrics in link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    14. Maik Müller & Fabienne Gräbnitz & Niculò Barandun & Yang Shen & Fabian Wendt & Sebastian N. Steiner & Yannik Severin & Stefan U. Vetterli & Milon Mondal & James R. Prudent & Raphael Hofmann & Marc Oos, 2021. "Light-mediated discovery of surfaceome nanoscale organization and intercellular receptor interaction networks," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    15. Pisanu Buphamalai & Tomislav Kokotovic & Vanja Nagy & Jörg Menche, 2021. "Network analysis reveals rare disease signatures across multiple levels of biological organization," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    16. Xu-Wen Wang & Lorenzo Madeddu & Kerstin Spirohn & Leonardo Martini & Adriano Fazzone & Luca Becchetti & Thomas P. Wytock & István A. Kovács & Olivér M. Balogh & Bettina Benczik & Mátyás Pétervári & Be, 2023. "Assessment of community efforts to advance network-based prediction of protein–protein interactions," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    17. Irmgard U. Haussmann & Yanying Wu & Mohanakarthik P. Nallasivan & Nathan Archer & Zsuzsanna Bodi & Daniel Hebenstreit & Scott Waddell & Rupert Fray & Matthias Soller, 2022. "CMTr cap-adjacent 2′-O-ribose mRNA methyltransferases are required for reward learning and mRNA localization to synapses," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    18. Jens S. Andersen & Aaran Vijayakumaran & Christopher Godbehere & Esben Lorentzen & Vito Mennella & Kenneth Bødtker Schou, 2024. "Uncovering structural themes across cilia microtubule inner proteins with implications for human cilia function," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    19. Zhiping Zhang & Bongmin Bae & Winston H. Cuddleston & Pedro Miura, 2023. "Coordination of alternative splicing and alternative polyadenylation revealed by targeted long read sequencing," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    20. Cheoljun Choi & Yujin L. Jeong & Koung-Min Park & Minji Kim & Sangseob Kim & Honghyun Jo & Sumin Lee & Heeseong Kim & Garam Choi & Yoon Ha Choi & Je Kyung Seong & Sik Namgoong & Yeonseok Chung & Young, 2024. "TM4SF19-mediated control of lysosomal activity in macrophages contributes to obesity-induced inflammation and metabolic dysfunction," Nature Communications, Nature, vol. 15(1), pages 1-21, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37876-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.