Mapping adipocyte interactome networks by HaloTag-enrichment-mass spectrometry
Open accessPublished version of a preprint
Abstract
Mapping protein interaction complexes in their natural state in vivo is arguably the Holy Grail of protein network analysis. Detection of protein interaction stoichiometry has been an important technical challenge, as few studies have focused on this. This may, however, be solved by artificial intelligence (AI) and proteomics. Here, we describe the development of HaloTag-based affinity purification mass spectrometry (HaloMS), a high-throughput HaloMS assay for protein interaction discovery. The approach enables the rapid capture of newly expressed proteins, eliminating tedious conventional one-by-one assays. As a proof-of-principle, we used HaloMS to evaluate the protein complex interactions of 17 regulatory proteins in human adipocytes. The adipocyte interactome network was validated using an in vitro pull-down assay and AI-based prediction tools. Applying HaloMS to probe adipocyte differentiation facilitated the identification of previously unknown transcription factor (TF)–protein complexes, revealing proteome-wide human adipocyte TF networks and shedding light on how different pathways are integrated.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature · doi:10.1038/s41586-024-07487-w · Cited by 15,861 · see citing works
Evolutionary-scale prediction of atomic level protein structure with a language model
Lin, Z., Akin, H., Rao, R., Hie, B., Zhu, Z., Lu, W., Smetanin, N., Verkuil, R., Kabeli, O., Shmueli, Y., et al. (2022) · doi:10.1101/2022.07.20.500902 · Cited by 5,523 · see citing works
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025 · see citing works
The role of leptin and ghrelin in the regulation of food intake and body weight in humans: a review
Klok, M. D., Jakobsdottir, S., & Drent, M. L. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2006.00270.x · Cited by 1,442 · see citing works
A structural biology community assessment of AlphaFold2 applications
Akdel, M., Pires, D. E. V., Pardo, E. P., Jänes, J., Zalevsky, A. O., Mészáros, B., Bryant, P., Good, L. L., Laskowski, R. A., Pozzati, G., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00849-w · Cited by 675 · see citing works
The role of mitochondria in the pathogenesis of type 2 diabetes
Patti, M.-E., & Corvera, S. (2010) · Endocrine Reviews · doi:10.1210/er.2009-0027 · Cited by 551 · see citing works
Ishigaki, K., Akiyama, M., Kanai, M., Takahashi, A., Kawakami, E., Sugishita, H., Sakaue, S., Matoba, N., Low, S.-K., Okada, Y., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0640-3 · Cited by 508 · see citing works
Transcription Factor Cooperativity in Early Adipogenic Hotspots and Super-Enhancers
Siersbæk, R., Rabiee, A., Nielsen, R., Sidoli, S., Traynor, S., Loft, A., Poulsen, L. L. C., Rogowska-Wrzesinska, A., Jensen, O. N., & Mandrup, S. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.04.042 · Cited by 234 · see citing works
Flagged first, then by citations
- Authors
- Yazaki, J., Yamanashi, T., Nemoto, S., Kobayashi, A., Han, Y.-W., Hasegawa, T., Iwase, A., Ishikawa, M., Konno, R., Imami, K., Kawashima, Y., & Seita, J.
- Affiliations
- Setsunan University (JP)
- University of Tsukuba (JP)
- RIKEN Center for Integrative Medical Sciences (JP)
- RIKEN Center for Sustainable Resource Science (JP)
- Kazusa DNA Research Institute (JP)
- Corresponding author
- Yazaki, Junshi
- ORCID
- Venue
- Biology Methods and Protocols
- Publisher
- Oxford University Press (OUP)
- Published
- 2024
- Volume
- 9
- Issue
- 1
- Pages
- bpae039-bpae039
- ISSN
- 2396-8923 (ISSN-L)
- PMC
- PMC11180226
- OpenAlex
- W4399117958
- Cited by
- 2
- References
- 9
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 0.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Biology Methods and Protocols (publishedVersion, cc-by-nc)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- SSRN Electronic Journal (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Ministry of Education, Science, Sports, and Culture
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Biotin and Related Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- HaloTag, protein-protein interaction, protein complex stoichiometry, adipogenesis, transcriptional regulatory networks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review