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Proximity-dependent Biotin Identification (BioID) Service

Proximity-dependent Biotin Identification (BioID) Service

Background

Introduction

In the rapidly evolving field of protein interaction research, Profacgen delivers cutting-edge Proximity-dependent Biotin Identification (BioID) services to uncover intricate cellular networks and dynamic molecular interactions. Leveraging advanced BirA* enzyme systems and streamlined workflows, we empower researchers to map protein interactomes with high specificity, even in challenging biological models. Our expertise spans diverse applications, from target validation to pathway mechanism studies, ensuring actionable insights for drug discovery and functional genomics.

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The introduction of BioID.
fig1. Schematic Diagram of BioID Technique.

Technical Workflow of BioID

BioID begins by genetically fusing a promiscuous biotin ligase (BirA*, an R118G mutant of E. coli BirA) to a target protein. This fusion ensures BirA* localizes to the target's native cellular compartment.

In live cells, BirA* uses ATP and exogenous biotin to generate reactive biotin-5′-AMP, which labels lysine residues on proteins within a ~10–20 nm radius. The short-lived intermediate ensures spatial specificity.

Cells are lysed, and biotinylated proteins are isolated using streptavidin-coated beads. Harsh washes remove nonspecific interactions, enriching the target's proximal interactors.

Purified proteins are digested into peptides, analyzed by LC-MS/MS, and identified via database matching. Statistical filtering distinguishes true interactors from background.

A Workflow of BioID.Fig2. Diagram of Basic Protocol. (Le Sage, et al., 2016)

Advantages of Profacgen's BioID Service

1) In Vivo Interaction Mapping: Detect protein interactions in living cells, reflecting true biological conditions.
2) High Sensitivity and Specificity: Identify low-abundance proteins with minimal false positives/negatives.
3) Versatility Across Species: Suitable for a wide range of organisms and cell types, including mammalian cells, plants, and yeast.
4) Comprehensive Support: Offer complementary validation services (e.g., IP assays) to confirm interactions and provide actionable insights.

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Service Procedure

Sample Submission Requirements

To activate the BioID service, clients must submit the following materials:

Plasmid Containing Target Gene

Cell Line Information

Additional Reagents (Optional)

If specialized reagents (e.g., antibodies for Western blotting) or detection tools (e.g., fluorescent probes for imaging) are required for post-analysis, either supply these materials or explicitly list their specifications (e.g., product catalog numbers, dilution ratios).

Note: If clients cannot provide specific reagents, we can prepare a full set.

Delivery

Service Scope

Vector Construction
  • Subclone the target gene into a customized expression vector (e.g., pLenti-EF1a-EGFP-F2A-Puro-CMV-MCS-BirA-HA) to ensure proper fusion of the BirA* tag with the target protein.
  • Validate vector sequence integrity via Sanger sequencing and provide detailed vector maps with annotations of key elements.
Stable Cell Line Development
  • Establish stable cell lines expressing the fusion protein (e.g., HEK293, HepG2) using a lentiviral transduction system, and obtain high-expression monoclonal lines via puromycin selection.
  • Confirm fusion protein expression levels by Western blot and verify BirA* subcellular localization using fluorescence microscopy.
Biotinylation & Protein Capture
  • Perform biotinylation under physiological conditions (e.g., 37°C/5% CO₂) with optimized incubation time (typically 16-24 hours) to balance labeling efficiency and cell viability.
  • Capture biotinylated proteins using streptavidin-coated magnetic beads and apply stringent wash buffers (e.g., 2 M NaCl, 1% SDS) to eliminate nonspecific binding, ensuring specific enrichment of interaction networks.
Mass Spectrometry Analysis
  • Validate protein capture efficiency via SDS-PAGE, followed by in-gel digestion and peptide identification using high-resolution mass spectrometry.
  • Analyze raw data using MaxQuant/Perseus to generate an interaction protein list with peptide coverage, abundance, and statistical significance metrics (e.g., SAINT score).
Data Interpretation
  • Compare protein profiles between experimental and control groups (e.g., empty vector-transfected samples) to screen significantly enriched targets (p<0.05, fold change >2).
  • Provide KEGG/GO functional annotations, STRING interaction network visualization, and a customized analysis report summarizing subcellular localization, known interactions, and disease associations of candidate proteins.

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Why Choose Profacgen?

Technical Expertise in Proximity-Dependent Labeling

Profacgen's team specializes in BioID technology, with validated protocols for optimizing BirA* fusion constructs, biotinylation kinetics, and background reduction, ensuring precise identification of proximal interactors.

End-to-End Customization

From vector design (e.g., choice of promoters, tags) to cell line selection (primary, cancer, or engineered lines), workflows are tailored to match experimental needs, including niche applications like organelle-specific interactome mapping.

Rigorous Multi-Stage QC

Every step undergoes stringent validation: Sanger sequencing for plasmid integrity, Western blot for fusion protein expression, and label-free quantitation (LFQ) in MS to filter low-confidence hits, minimizing false positives.

Advanced Proteomics Infrastructure

Equipped with state-of-the-art Orbitrap mass spectrometers and AI-driven bioinformatics pipelines, we deliver high-depth proteomic coverage and statistically robust interaction networks (SAINT, CRAPome-filtered).

Turnkey Service with Timely Delivery

Fixed turnaround times (e.g., 8-10 weeks for full workflow), dedicated project managers, and interactive reporting portals ensure transparency and accelerate downstream validation studies.

Case Study

* NOTE: We prioritize confidentiality in our services to safeguard technology and intellectual property for enhanced future value and protection. The following case study has been shared with the client's consent.

Project 1: Proximity Labeling in xxx Cells with Bio-ID

Goal

The primary objective of this project was to identify interaction proteins of the target protein (xxx) in xxx cells using the BioID (Proximity-dependent Biotin Identification) technique. The process involved fusing the target protein with a biotin ligase (BioID), constructing stable cell lines using lentivirus, and identifying biotinylated proteins via mass spectrometry.

Results

  • Silver Staining

Two rounds of silver staining were performed to visualize the biotinylated proteins captured by streptavidin beads. The results demonstrated successful biotinylation and enrichment of target proteins.

The First Siliver Stainning Results.

The Second Siliver Stainning Results.

Fig3. Two Siliver Stainning Results.

  • Mass Spectrometry
    Mass spectrometry analysis identified a comprehensive list of proteins interacting with the target protein. Detailed results, including protein identification and analysis instructions, are provided in the undisclosed folder.

Conclusions and Discussions

The project successfully constructed stable cell lines expressing the target protein fused with BioID. The biotinylation and enrichment process effectively captured interacting proteins, which were subsequently identified by mass spectrometry. The results provide valuable insights into the protein-protein interactions of the target protein in xxx cells, achieving the project's goals.

Project 2: Proximity-dependent Biotin Identification (BioID) Assay for Protein Interactions

Goal

The primary goal of this project was to identify the interacting proteins of the target protein (xxx) using the BioID technique. This involved constructing a stable cell line expressing the target protein fused with a biotin ligase (BirA*), followed by biotinylation, protein capture, and identification via mass spectrometry.

Results

  • Vector Construction
    The target gene (xxx) was successfully cloned into the vector H6431 pLenti-EF1a-EGFP-F2A-Puro-CMV-MCS-BirA-HA. The construct was verified through sequencing and vector mapping.
  • Stable Cell Line Construction
    Stable cell lines (H28178 and H6431) were established using lentivirus-mediated transduction.
    Infection efficiency reached 80% under MOI 20 conditions, and stable expression was confirmed by fluorescence microscopy and Western Blot analysis.

Results of Lentivirus infection.Fig4. Lentivirus infection of xxx cells for 72h.

Stable strains validation.Fig5. Fluorescence photos of stable strains after 14 days of screening.

Western Blot analysis of stable strains.Fig6. The results of the Western Blot assay.

  • BioID Analysis
    Biotinylation was performed in stable cell lines, followed by protein capture using streptavidin beads.
    Silver staining of SDS-PAGE gels confirmed the presence of biotinylated proteins.
  • Mass Spectrometry Identification
    Mass spectrometry identified a comprehensive list of interacting proteins from the target cell line (H28178) and control cell line (H6431).
    Differential analysis highlighted specific proteins interacting with the target protein (xxx).

Conclusions and Discussions

The project successfully achieved its goal of identifying interacting proteins of the target protein (xxx) using the BioID technique. The constructed stable cell lines and validated constructs provided a reliable platform for biotinylation and subsequent protein identification. Mass spectrometry analysis yielded valuable insights into the protein-protein interactions, demonstrating the effectiveness of the BioID approach in capturing transient and weak interactions in a native cellular environment. The results lay the groundwork for further studies into the functional roles of these interactions in cellular processes.

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FAQs

Q: What is the principle behind BioID, and how does it differ from traditional co-IP/MS methods?
A: BioID utilizes a promiscuous biotin ligase (e.g., BirA*) fused to a bait protein, which biotinylates proximal interacting proteins within a defined radius (~10 nm) in live cells. Unlike co-immunoprecipitation (co-IP/MS), which captures stable interactions under lysate conditions, BioID captures transient or weak interactions in a native cellular context. This spatial and temporal resolution makes it ideal for studying dynamic processes like signaling cascades or organelle-specific networks.
A: For optimal results, ensure the following:
  • Bait expression: Stable expression of the BirA*-fusion bait protein is required. Provide constructs with validated expression levels (e.g., via Western blot or fluorescence tagging).
  • Cell viability: Maintain >85% viability during biotinylation (typically 18–24 hours). Avoid prolonged biotin treatment to minimize cytotoxicity.
  • Biotin supplementation: Include biotin (e.g., 50 μM) in the culture medium during the biotinylation window.
    For non-mammalian systems (e.g., plant cells or microbes), consult our team for protocol adjustments, including biotin concentration or incubation time optimization.
A: A standard project (from bait validation to final report) requires 6–10 weeks, depending on bait protein expression efficiency and interaction complexity. Delays may occur if iterative optimization is needed (e.g., adjusting expression levels or reducing cytotoxicity). Rush services (4–6 weeks) are available for validated systems. We provide a detailed project plan upfront to align with your deadlines.
A: Yes. Beyond raw data delivery, we provide:
  • Bioinformatic interpretation: Customized pathway enrichment analysis (GO, KEGG, Reactome) and network visualization tailored to your biological context.
  • Hit prioritization: Guidance on filtering interactors (e.g., excluding common contaminants, focusing on novel/uncharacterized proteins).
  • Experimental follow-up: Recommendations for orthogonal validation (e.g., co-IP, CRISPR knockout) or functional assays to confirm relevance.
    Additional support, such as cross-project meta-analysis or integration with public datasets, is available upon request.
A: BioID inherently reduces false positives by requiring proximity-dependent biotinylation in live cells. Our workflow includes:
  • Negative controls: Cells expressing untagged BirA* or non-biotinylated bait.
  • Background subtraction: Exclusion of proteins identified in controls or public contaminant databases (e.g., CRAPome).
  • Statistical filtering: SAINTexpress or CompPASS algorithms to assign interaction confidence scores.

Resources

Reference:

  1. Le Sage V.; et al. Proximity-Dependent Biotinylation for Identification of Interacting Proteins. Curr Protoc Cell Biol. 2016;73:17.19.1-17.19.12.
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