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In a recent in Â鶹´«Ã½É«ÇéƬ & Cellular Proteomics, Payman Samavarchi–Tehrani and colleagues in the at Sinai Health Systems and the University of Toronto offer an introduction to proximity-dependent biotinylation, a key first step in proximity proteomics. The authors give researchers who are new to the field information about the natural history of biotinylation enzymes. They also offer insights into the mechanisms of these enzymes and new perspectives on future proximity proteomics experiments.

Traditional proteomics can provide information about the quantitative contents of a cell or tissue, but it sacrifices much information on the spatial organization of proteins within cells. Since protein activity often depends on location and interactions with other proteins, researchers have developed approaches such as proximity proteomics to obtain information about the environs of a protein of interest. Proximity proteomics methods developed in the past 10 years depend on fusing the protein of interest to an enzyme that will label nearby proteins with a chemical tag that then can be purified. After purification, mass spectrometry identifies the tagged proteins.

Most often, the chemical tag is biotin, a cofactor that is key to carboxylase enzyme activity in several metabolic pathways. Two types of enzyme are used for proximity-dependent biotinylation: peroxidases, used for methods such as APEX, and biotin ligases, used for methods such as BioID.

Samavarchi–Tehrani et al./MCP

A schematic diagram shows the proximity proteomics workflow. A bait protein is tagged with a biotinylation enzyme (center of concentric circles), which allows for covalent labeling of proteins in its vicinity with a reactive biotin intermediate. Then the researcher lyses the cells and uses streptavidin to extract biotin-tagged proteins, digests those proteins and uses mass spectrometry to determine their identity.

Ordinarily, biotin ligases append biotin to the carboxylases that need it as a cofactor. Biotin ligases found in cells have high specificity for their substrate proteins, but certain mutations reduce that specificity by decreasing the ligase enzyme’s affinity for a reactive intermediate. Such mutants lose their grip on the cofactor and can release a reactive biotin that can bind the next amine group it encounters — often on a nearby protein. When researchers pull down biotin after this reaction occurs, they can determine what proteins were localized in the neighborhood of the biotin ligase and, by extension, the protein it was tethered to.

The second enzyme family, the peroxidases, evolved to convert hydrogen peroxide to water by redox chemistry. In the presence of a biotin–phenol substrate and hydrogen peroxide, they can make a short-lived free radical that reacts with certain amino acid side chains, once again tagging nearby proteins for later identification.

As proximity proteomics has grown in popularity, both types of enzyme have been the targets of extensive engineering and molecular evolution to coax them toward the activity profiles users want. The authors review the available enzymes and discuss experimental design considerations, such as choice of control conditions and how to get rid of what they call “frequent flyer” proteins that often are isolated nonspecifically.