Variability in Streptavidin-Sepharose Matrix Quality Can Significantly Affect Proximity-Dependent Biotinylation (BioID) Data

Overcoming Analytical Challenges in Proximity Labeling Proteomics

Proximity labeling (PL) proteomics has emerged as a powerful tool to capture both stable and transient protein interactions and subcellular networks. Despite the wide biological applications, PL still faces technical challenges in robustness, reproducibility, specificity, and sensitivity. Here, we discuss major analytical challenges in PL proteomics and highlight how the field is advancing to address these challenges by refining study design, tackling interferences, overcoming variation, developing novel tools, and establishing more robust platforms. We also provide our perspectives on best practices and the need for more robust, scalable, and quantitative PL technologies.

The BLM-TOP3A-RMI1-RMI2 proximity map reveals that RAD54L2 suppresses sister chromatid exchanges

Homologous recombination is a largely error-free DNA repair mechanism conserved across all domains of life and is essential for the maintenance of genome integrity. Not only are the mutations in homologous recombination repair genes probable cancer drivers, some also cause genetic disorders. In particular, mutations in the Bloom (BLM) helicase cause Bloom Syndrome, a rare autosomal recessive disorder characterized by increased sister chromatid exchanges and predisposition to a variety of cancers. The pathology of Bloom Syndrome stems from the impaired activity of the BLM-TOP3A-RMI1-RMI2 (BTRR) complex which suppresses crossover recombination to prevent potentially deleterious genome rearrangements. We provide a comprehensive BTRR proximal proteome, revealing proteins that suppress crossover recombination. We find that RAD54L2, a SNF2-family protein, physically interacts with BLM and suppresses sister chromatid exchanges. RAD54L2 is important for recruitment of BLM to chromatin and requires an intact ATPase domain to promote non-crossover recombination. Thus, the BTRR proximity map identifies a regulator of recombination.

Exploring Options for Proximity-Dependent Biotinylation Experiments: Comparative Analysis of Labeling Enzymes and Affinity Purification Resins

Proximity-dependent biotinylation (PDB) techniques provide information about the molecular neighborhood of a protein of interest, yielding insights into its function and localization. Here, we assessed how different labeling enzymes and streptavidin resins influence PDB results. We compared the high-confidence interactors of the DNA/RNA-binding protein transactive response DNA-binding protein 43 kDa (TDP-43) identified using either miniTurbo (biotin ligase) or APEX2 (peroxidase) enzymes. We also evaluated two commercial affinity resins for purification of biotinylated proteins: conventional streptavidin sepharose versus a new trypsin-resistant streptavidin conjugated to magnetic resin, which significantly reduces the level of contamination by streptavidin peptides following on-bead trypsin digestion. Downstream analyses involved liquid chromatography coupled to mass spectrometry in data-dependent acquisition mode, database searching, and statistical analysis of high-confidence interactors using SAINTexpress. The APEX2-TDP-43 experiment identified more interactors than miniTurbo-TDP-43, although miniTurbo provided greater overlap with previously documented TDP-43 interactors. Purifications on sepharose resin yielded more interactors than magnetic resin in small-scale experiments using a range of magnetic resin volumes. We suggest that resin-specific background protein binding profiles and different lysate-to-resin ratios cumulatively affect the distributions of prey protein abundance in experimental and control samples, which impact statistical confidence scores. Overall, we highlight key experimental variables to consider for the empirical optimization of PDB experiments.

Proximity Labeling to Identify β-Arrestin1 Binding Partners Downstream of Ligand-Activated G Protein-Coupled Receptors

β-arrestins are multifaceted adaptor proteins that regulate various aspects of G protein-coupled receptor (GPCR) signaling. β-arrestins are recruited to agonist-activated and phosphorylated GPCRs at the plasma membrane, thereby preventing G protein coupling, while also targeting GPCRs for internalization via clathrin-coated pits. In addition, β-arrestins can activate various effector molecules to prosecute their role in GPCR signaling; however, the full extent of their interacting partners remains unknown. To discover potentially novel β-arrestin interacting partners, we used APEX-based proximity labeling coupled with affinity purification and quantitative mass spectrometry. We appended APEX in-frame to the C-terminus of β-arrestin1 (βarr1-APEX), which we show does not impact its ability to support agonist-stimulated internalization of GPCRs. By using coimmunoprecipitation, we show that βarr1-APEX interacts with known interacting proteins. Furthermore, following agonist stimulation βarr1-APEX labeled known βarr1-interacting partners as assessed by streptavidin affinity purification and immunoblotting. Aliquots were prepared in a similar manner and analyzed by tandem mass tag labeling and high-content quantitative mass spectrometry. Several proteins were found to be increased in abundance following GPCR stimulation. Biochemical experiments confirmed two novel proteins that interact with β-arrestin1, which we predict are novel ligand-stimulated βarr1 interacting partners. Our study highlights that βarr1-APEX-based proximity labeling represents a valuable approach to identifying novel players involved in GPCR signaling.

Studying Cellular Dynamics Using Proximity-Dependent Biotinylation: Somatic Cell Reprogramming

Assessing the reorganization of proteins and organelles following the induction of reprogramming and differentiation programs is crucial to understand the mechanistic underpinning of morphological and fate changes associated with these processes. The advent of proximity-dependent biotinylation (PDB) methods has overcome some of the limitations of biochemical purification methods, enabling proteomic characterization of most subcellular compartments. The first-generation PDB enzyme, the biotin ligase BirA* used in BioID, has now been used in multiple studies determining the cellular context in which proteins reside, typically under standard growth conditions and using long labeling (usually 8-24 h) times. Capitalizing on the generation of more active PDB enzymes such as miniTurbo that can generate strong biotinylation signals in minutes rather than hours, as well as the development of an inducible lentiviral toolkit for BioID, we define here protocols for time-resolved PDB in primary cells. Here, we report the optimization and application of lentivirally delivered miniTurbo constructs to a mouse fibroblast model of somatic cell reprogramming, allowing the study of this dynamic process. This detailed protocol also provides a baseline reference for researchers who wish to adapt these techniques to other dynamic cellular processes.

Studying the ubiquitin code through biotin-based labelling methods

Post-translational modifications of cellular substrates by members of the ubiquitin (Ub) and ubiquitin-like (UbL) family are crucial for regulating protein homeostasis in organisms. The term "ubiquitin code" encapsulates how this diverse family of modifications, via adding single UbLs or different types of UbL chains, leads to specific fates for substrates. Cancer, neurodegeneration and other conditions are sometimes linked to underlying errors in this code. Studying these modifications in cells is particularly challenging since they are usually transient, scarce, and compartment-specific. Advances in the use of biotin-based methods to label modified proteins, as well as their proximally-located interactors, facilitate isolation and identification of substrates, modification sites, and the enzymes responsible for writing and erasing these modifications, as well as factors recruited as a consequence of the substrate being modified. In this review, we discuss site-specific and proximity biotinylation approaches being currently applied for studying modifications by UbLs, highlighting the pros and cons, with mention of complementary methods when possible. Future improvements may come from bioengineering and chemical biology but even now, biotin-based technology is uncovering new substrates and regulators, expanding potential therapeutic targets to manipulate the Ub code.

Illuminating the dark protein-protein interactome

In living systems, a complex network of protein-protein interactions (PPIs) underlies most biochemical events. The human protein-protein interactome has been surveyed using yeast two-hybrid (Y2H)- and mass spectrometry (MS)-based approaches such as affinity purification coupled to MS (AP-MS). Despite decades of systematic investigations and collaborative multi-disciplinary efforts, there is no "gold standard" for documenting PPIs. A surprisingly large fraction of the human interactome remains uncharted, which we refer to as the "dark interactome." In this review, we highlight the complexity of the human interactome and discuss the current status of the human reference interactome maps. We discuss why a large proportion of the human interactome has remained refractory to traditional approaches. We propose an experimental model that can enable the identification of the dark interactome in a cell-type-specific manner. We also propose a framework to implement when embarking on studies designed to rigorously identify and characterize protein interactions.

Optimized Workflow for Enrichment and Identification of Biotinylated Peptides Using Tamavidin 2-REV for BioID and Cell Surface Proteomics

Chemical or enzymatic biotinylation of proteins is widely used in various studies, and proximity-dependent biotinylation coupled to mass spectrometry is a powerful approach for analyzing protein-protein interactions in living cells. We recently developed a simple method to enrich biotinylated peptides using Tamavidin 2-REV, an engineered avidin-like protein with reversible biotin-binding capability. However, the level of biotinylated proteins in cells is low; therefore, large amounts of cellular proteins were required to detect biotinylated peptides. In addition, the enriched biotinylated peptide solution contained many contaminant ions. Here, we optimized the workflow for efficient enrichment of biotinylated peptides and removal of contaminant ions. The efficient recovery of biotinylated peptides with fewer contaminant ions was achieved by heat inactivation of trypsin, prewashing Tamavidin 2-REV beads, clean-up of biotin solution, mock elution, and using optimal temperature and salt concentration for elution. The optimized workflow enabled identification of nearly 4-fold more biotinylated peptides with higher purity from RAW264.7 macrophages expressing TurboID-fused STING (stimulator of interferon genes). In addition, sequential digestion with Glu-C and trypsin revealed biotinylation sites that were not identified by trypsin digestion alone. Furthermore, the combination of this workflow with TMT labeling enabled large-scale quantification of cell surface proteome changes upon epidermal growth factor (EGF) stimulation. This workflow will be useful for BioID and cell surface proteomics and for various other applications based on protein biotinylation.

Biotinylation-based proximity labeling proteomics: Basics, applications, and technical considerations

Recent advances in biotinylation-based proximity labeling (PL) have opened up new avenues for mapping the protein composition of cellular compartments and protein complexes in living cells at high spatiotemporal resolution. In particular, PL combined with mass spectrometry-based proteomics has been successfully applied to defining protein-protein interactions, protein-nucleic acid interactions, (membraneless) organelle proteomes, and secretomes in various systems ranging from cultured cells to whole animals. In this review, we first summarize the basics and recent biological applications of PL proteomics, and then highlight recent developments in enrichment techniques for biotinylated proteins and peptides, focusing on the advantages of PL and technical considerations.

Reversible Click Chemistry Tag for Universal Proteome Sample Preparation for Top-Down and Bottom-Up Analysis

Successful proteome analysis requires reliable sample preparation beginning with protein solubilization and ending with a sample free of contaminants, ready for downstream analysis. Most proteome sample preparation technologies utilize precipitation or filter-based separation, both of which have significant disadvantages. None of the current technologies are able to prepare both intact proteins or digested peptides. Here, we introduce a reversible protein tag, ProMTag, that enables whole proteome capture, cleanup, and release of intact proteins for top-down analysis. Alternatively, the addition of a novel Trypsin derivative to the workflow generates peptides for bottom-up analysis. We show that the ProMTag workflow yields >90% for intact proteins and >85% for proteome digests. For top-down analysis, ProMTag cleanup improves resolution on 2D gels; for bottom-up exploration, this methodology produced reproducible mass spectrometry results, demonstrating that the ProMTag method is a truly universal approach that produces high-quality proteome samples compatible with multiple downstream analytical techniques. Data are available via ProteomeXchange with identifier PXD027799.

Assessment of Streptavidin Bead Binding Capacity to Improve Quality of Streptavidin-based Enrichment Studies

The streptavidin-based enrichment of biotin-tagged molecules is a common methodology that is routinely used across multiple disciplines in biomedical research. Numerous and varied formats of immobilized streptavidin and related proteins are available, but predicting which product is most apt for a given application is complicated by the fact that there are numerous technical considerations and no universal reporting standards for describing the binding capacity of the beads. Here, we define criteria that should be considered when performing a fit-for-purpose evaluation of streptavidin beads. We also describe a colorimetric competitive displacement assay, the streptAVIdin binDing capacITY (AVIDITY) assay, a fast, easy, and inexpensive absorbance-based method to measure the binding capacity of streptavidin beads, which can be used to compare different products and evaluate variation among many of the same product. We expect that the fit-for-purpose criteria and the AVIDITY assay will benefit users across disciplines to make informed decisions regarding the most apt streptavidin bead products for their own experiments.