Engineering Papers⌕ Search
Home/Archive/DOE OSTI

DOE OSTI · 2470950

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

Tang, Hong-Wen·Spirohn, Kerstin·Hu, Yanhui·Hao, Tong·Kovács, István A.·Gao, Yue·Binari, Richard·Yang-Zhou, Donghui·Wan, Kenneth H.·Bader, Joel S.·Balcha, Dawit·Bian, Wenting·Booth, Benjamin W.·Coté, Atina G.·de Rouck, Steffi·Desbuleux, Alice·Goh, Kah Yong·Kim, Dae-Kyum·Knapp, Jennifer J.·Lee, Wen Xing·Lemmens, Irma·Li, Cathleen·Li, Mian·Li, Roujia·Lim, Hyobin Julianne·Liu, Yifang·Luck, Katja·Markey, Dylan·Pollis, Carl·Rangarajan, Sudharshan·Rodiger, Jonathan·Schlabach, Sadie·Shen, Yun·Sheykhkarimli, Dayag·TeeKing, Bridget·Roth, Frederick P.·Tavernier, Jan·Calderwood, Michael A.·Hill, David E.·Celniker, Susan E.·Vidal, Marc·Perrimon, Norbert·Mohr, Stephanie E.
View original source ↗Read source document ↗Export metadata ↓

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.

Explore related subjects

59 BASIC BIOLOGICAL SCIENCESScience & Technology - Other Topics

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Tang, Hong-Wen, Spirohn, Kerstin, Hu, Yanhui, Hao, Tong, Kovács, István A., Gao, Yue, Binari, Richard, Yang-Zhou, Donghui, Wan, Kenneth H., Bader, Joel S., Balcha, Dawit, Bian, Wenting, Booth, Benjamin W., Coté, Atina G., de Rouck, Steffi, Desbuleux, Alice, Goh, Kah Yong, Kim, Dae-Kyum, Knapp, Jennifer J., Lee, Wen Xing, Lemmens, Irma, Li, Cathleen, Li, Mian, Li, Roujia, Lim, Hyobin Julianne, Liu, Yifang, Luck, Katja, Markey, Dylan, Pollis, Carl, Rangarajan, Sudharshan, Rodiger, Jonathan, Schlabach, Sadie, Shen, Yun, Sheykhkarimli, Dayag, TeeKing, Bridget, Roth, Frederick P., Tavernier, Jan, Calderwood, Michael A., Hill, David E., Celniker, Susan E., Vidal, Marc, Perrimon, Norbert, Mohr, Stephanie E.. 2023-04-15. Next-generation large-scale binary protein interaction network for Drosophila melanogaster. https://doi.org/10.1038/s41467-023-37876-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

DOE OSTI2026

Soil metagenomics umbrella narrative

Implementing accessible, authentic research experiences in introductory courses is challenging, particularly at institutions serving diverse student populations. To address this gap, we developed and deployed a Course-based Undergraduate Research Experience (CURE) focused on plant-microbe interactions in General Biology II at Northeastern Illinois University (NEIU), a minority-serving institution with a diverse student body. Students grew sugar beets (Beta vulgaris), extracted DNA from the rhizoplane, and used the Department of Energy Systems Biology Knowledgebase (KBase) for bioinformatic analysis to compare microbial relative abundance in fertilized versus unfertilized soil. Over five semesters, the CURE engaged 103 students and leveraged the intuitive KBase platform to make complex sequencing data accessible. Pre/post-course survey data revealed significant increases in student self-assessed research skills, including the ability to explain results and determine the types of data to collect. Furthermore, students reported significant gains in confidence related to experimental design and hypothesis development, alongside a strong increase in familiarity with KBase. Informal faculty feedback indicated high student engagement and appreciation for the real-world connections (e.g. food systems, agriculture, and health). This scalable, low-cost model effectively integrates data science tools into the foundational curriculum, demonstrating a potent strategy for boosting research skills and broadening participation in authentic scientific inquiry among diverse undergraduate students.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2026

Genome-resolved insights into microbial diversity and elemental cycling in Winogradsky columns

We retained 18 MAGs with ≥50% completion and <10% contamination (i.e., at least medium quality). Of these, 10 had >90% completion and <5% contamination; however, only one (Paceibacteria Bin.003_MG) can be described as high-quality, as the others lacked a full suite of 5S, 16S, and 23S rRNA genes. To maximize the diversity of our recovered MAGs, we also retained one MAG (Chromatiaceae Bin.008_AM) with >40% (but less than 50%) completion and <5% contamination, as well as one (Rhodopseudomonas Bin.015_MK) with >90% completion and <20% (but>10%) contamination. Interestingly, significant chimerism was not detected in this MAG (40) , suggesting that the elevated contamination (20%) may instead reflect two closely related strains collapsing into a single bin. Consistent with this, contig coverage was bimodal, with roughly 17% of the assembly at ~115x and the remaining 83% at ~282x, while GC content remained uniform across both groups (~64%), arguing against contamination from a taxonomically distinct source.

59 BASIC BIOLOGICAL SCIENCES↗