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A proximity proteomics pipeline with improved reproducibility and throughput.

Authors :
Zhong X
Li Q
Polacco BJ
Patil T
Marley A
Foussard H
Khare P
Vartak R
Xu J
DiBerto JF
Roth BL
Eckhardt M
Zastrow MV
Krogan NJ
Hüttenhain R
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 27. Date of Electronic Publication: 2024 Apr 27.
Publication Year :
2024

Abstract

Proximity labeling (PL) through biotinylation coupled with mass spectrometry (MS) has emerged as a powerful technique for capturing spatial proteomes within living cells. Large-scale sample processing for proximity proteomics requires a workflow that minimizes hands-on time while enhancing quantitative reproducibility. Here, we present a scalable PL pipeline integrating automated enrichment of biotinylated proteins in a 96-well plate format. By combining this pipeline with an optimized quantitative MS acquisition method based on data-independent acquisition (DIA), we not only significantly increased sample throughput but also improved the reproducibility of protein identification and quantification. We applied this pipeline to delineate subcellular proteomes across various cellular compartments, including endosomes, late endosomes/lysosomes, the Golgi apparatus, and the plasma membrane. Moreover, employing 5HT <subscript>2A</subscript> serotonin receptor as a model, we investigated temporal changes of proximal interaction networks induced by the receptor's activation with serotonin. Finally, to demonstrate the applicability of our PL pipeline across multiple experimental conditions, we further modified the PL pipeline for reduced sample input amounts to accommodate CRISPR-based gene knockout, and assessed the dynamics of the 5HT <subscript>2A</subscript> network in response to the perturbation of selected proximal interactors. Importantly, the presented PL approach is universally applicable to PL proteomics using biotinylation-based PL enzymes, increasing both throughput and reproducibility of standard protocols.<br />Competing Interests: Disclosure & Competing Interests Statement The Krogan laboratory has received research support from Vir Biotechnology, F. Hoffmann-La Roche and Rezo Therapeutics. N.J.K. has financially compensated consulting agreements with Maze Therapeutics and Interline Therapeutics. He is on the Board of Directors and is President of Rezo Therapeutics and is a shareholder in Tenaya Therapeutics, Maze Therapeutics, Rezo Therapeutics, GEn1E Lifesciences and Interline Therapeutics. B. L. R. is a member of the Scientific Advisory Boards of Septerna Pharmaceuticals, Escient Pharmaceuticals, Onsero Pharmaceuticals, and Levator.

Details

Language :
English
ISSN :
2692-8205
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Publication Type :
Academic Journal
Accession number :
37090610
Full Text :
https://doi.org/10.1101/2023.04.11.536358