Streamlined Biotinylation, Enrichment and Analysis for Enhanced Plasma Membrane Protein Identification Using Turboid and Turboid-Start Biotin Ligases

Author:

SARIHAN MEHMET1,KASAP MURAT1,AKPINAR GURLER1

Affiliation:

1. Kocaeli University Medical School

Abstract

Abstract Plasma membrane proteins play pivotal roles in various cellular events and are crucial in disease pathogenesis, making their comprehensive characterization vital for biomedical research. However, the hydrophobic nature and low expression levels of PMPs pose challenges for conventional enrichment methods, hindering their identification and functional profiling. In this study, we presented a novel TurboID-based enrichment approach for PMPs that helped overcoming some of the existing limitations. We evaluated the efficacy of TurboID and its modified form, TurboID-START, in PMP enrichment, achieving more efficient and targeted labeling of PMPs without the need for stable cell line generation. This approach significantly reduced non-specific biotinylation events, leading to improved PMP enrichment and enabling a precise assessment of the subcellular proteome associated with the plasma membrane. Our findings highlighted the dynamic nature of the plasma membrane as well and captured transient associations of proteins with the plasma membrane. The novel TurboID-based enrichment approach presented here offers promising prospects for in-depth investigations into PMPs and their roles in cellular processes.

Publisher

Research Square Platform LLC

Reference27 articles.

1. Proximal Biotinylation-Based Combinatory Approach for Isolating Integral Plasma Membrane Proteins;Akdag M;J Proteome Res,2020

2. Boschetti E, Righetti PG (2013) Low-abundance proteome discovery: state of the art and protocols

3. Efficient proximity labeling in living cells and organisms with TurboID;Branon TC;Nat Biotechnol,2018

4. The orchestra of lipid-transfer proteins at the crossroads between metabolism and signaling;Chiapparino A;Prog Lipid Res,2016

5. Split-TurboID enables contact-dependent proximity labeling in cells;Cho KF;Proc Natl Acad Sci U S A,2020

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