Multiplexed measurements of protein-protein interactions and protein abundance across cellular conditions using Prod&PQ-seq
ABSTRACT Methods to profile protein-protein interactions (PPIs) have limited scalability and can only study a handful of conditions and/or targets. Here, we introduce Prod&PQ-seq, a framework for multiplexed detection and quantification of PPIs and proteins. Our framework uses cross-linked cells, antibody-oligonucleotide conjugates (ab-oligos), and captures PPIs by the DNA-caliper, a specialized oligonucleotide for bidirectional priming of proximal ab-oligos. We benchmarked Prod&PQ-seq using recombinant complexes, titrations and cell mixture experiments and show that our framework is quantitative, reproducible, sensitive and specific. Applying Prod&PQ-seq to study Polycomb Repressive Complex 2 (PRC2) shows that EZH2 inhibition and expression of the oncohistone H3.3K27M weakens both PRC2-H3K27me3 interactions and PPIs within PRC2. Further, H3.1K27M and H3.3K27M variants lead to distinct PPI profiles such as the intensity of H3K27ac-K27M or H3K27ac-EED. Together, Prod&PQ-seq enables detection of changes in PPI composition and intensity and protein quantification across biological conditions, small molecule inhibition and genetic perturbations. GRAPHICAL ABSTRACT
Authors
- Alon Goren (ORCID: https://orcid.org/0000-0001-5669-9357)
- Christopher J. Fry
- Eric M. Mendenhall (ORCID: https://orcid.org/0000-0002-7395-6295)
- Matthew Norton
- Jeremy Fisher (ORCID: https://orcid.org/0000-0002-7296-586X)
- Christopher Benner (ORCID: https://orcid.org/0000-0002-4618-0719)
- Sven Heinz (ORCID: https://orcid.org/0000-0002-4665-1007)
- Yuwei Cao (ORCID: https://orcid.org/0009-0000-4119-4399)
- Lingzhi Zhang (ORCID: https://orcid.org/0009-0005-0557-8789)
- Yossi Farjoun
- Eduardo Modolo
- Tamar Dishon
- Tianyao Xu
- Jingyao Wang
- Yoonju Shin
Institutions
- University of California San Diego (US)
- Fulcrum Therapeutics (United States) (US)
- Cell Signaling Technology (United States) (US)
- HudsonAlpha Institute for Biotechnology (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-01-02
- DOI
- https://doi.org/10.64898/2026.01.01.697286
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00