SPAP27G11.14c Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SPAP27G11.14c; Uncharacterized protein SPAP27G11.14c
Target Names
SPAP27G11.14c
Uniprot No.

Target Background

Database Links
Subcellular Location
Mitochondrion.

Q&A

What are the most effective techniques for isolating monoclonal antibodies like SPAP27G11.14c?

Current antibody isolation methodologies have evolved significantly beyond traditional hybridoma technology. The most effective contemporary techniques include:

High-throughput single-cell RNA and VDJ sequencing represents a powerful approach for antibody isolation, as demonstrated in the identification of Staphylococcus aureus antibodies from immunized volunteers. This technique allowed researchers to isolate 676 antigen-binding IgG1+ clonotypes from memory B cells, ultimately leading to the identification of potent antibodies like Abs-9 . The process involves:

  • PBMC isolation from blood samples using Ficoll separation

  • Flow cytometry sorting of antigen-specific memory B lymphocytes using markers such as CD19+CD20+IgG+CD3-CD14-CD56-

  • Single-cell sequencing of isolated B cells

  • Bioinformatic analysis to identify promising antibody sequences

For researchers working with SPAP27G11.14c, this approach would allow for rapid screening of numerous antibody candidates, significantly accelerating the development pipeline.

How does one determine the binding affinity of research antibodies?

Determining binding affinity is essential for characterizing antibody function. Multiple complementary techniques should be employed:

  • Enzyme-Linked Immunosorbent Assay (ELISA): Used as an initial screen to detect antibody activity against target antigens. This was successfully employed to identify Abs-9's affinity for SpA5 .

  • Biolayer Interferometry: Provides precise affinity measurements by measuring the binding of different antigen concentrations to the antibody. This technique revealed that Abs-9 had a KD value of 1.959 × 10^-9 M (Kon = 2.873 × 10^-2 M^-1, Koff = 5.628 × 10^-7 s^-1), demonstrating nanomolar affinity .

  • Mass Spectrometry: To exclude non-specific binding, researchers can ultrasonically fragment bacterial fluid, coincubate with the antibody, bind with protein beads, and analyze the eluate through mass spectrometry. This approach confirmed SpA5 as the specific antigen targeted by Abs-9 .

For SPAP27G11.14c research, combining these techniques would provide comprehensive binding characterization data.

What expression systems are optimal for producing research-grade antibodies?

The choice of expression system significantly impacts antibody yield, quality, and functionality. For research-grade antibodies similar to those in the search results:

Mammalian Expression in 293F Cells: This system is particularly effective for producing fully human antibodies. The process typically involves:

  • Culturing 293F cells at an appropriate concentration (10^6 cells/mL)

  • Mixing heavy chain (0.5 μg/mL) and light chain (0.67 μg/mL) plasmids with PEI (2.3 μg/mL)

  • Culturing cells at 37°C in 5% CO2 for 5 days

  • Harvesting the supernatant and purifying using Protein A affinity chromatography

This approach allows for proper folding and post-translational modifications of complex antibodies, ensuring their biological activity is maintained.

How can I design experiments to assess the neutralizing potential of SPAP27G11.14c against diverse pathogen variants?

Designing robust experiments to evaluate neutralizing potential against multiple variants requires a comprehensive approach:

Step 1: Structural Analysis of Target Recognition
Begin by identifying the specific binding region on the target protein through techniques like X-ray crystallography or cryo-EM. For example, researchers studying SC27 determined that this antibody recognized different characteristics of spike proteins across COVID-19 variants by analyzing spike protein structures .

Step 2: Design of Neutralization Assays
Implement multiple assay formats:

  • Pseudovirus neutralization assays using reporter systems

  • Live virus neutralization studies in appropriate biocontainment

  • Binding competition assays to evaluate displacement of natural ligands

  • Protein structural analysis to confirm binding epitopes

Step 3: Cross-Reactivity Testing
Evaluate binding to related proteins from different variants and species. This approach was successfully used with SC27, which was found to neutralize "all known variants of SARS-CoV-2, the virus that causes COVID-19, as well as distantly related SARS-like coronaviruses that infect other animals" .

Step 4: In Vivo Protection Studies
Assess prophylactic efficacy in animal models challenged with different variants. For instance, Abs-9 demonstrated "strong prophylactic efficacy in mice injected with lethal doses of a wide range of drug-resistant S. aureus strains" .

Variant TypeRecommended Neutralization AssayKey Readout MeasurementsExpected Timeframe
Primary variantsLive virus neutralizationIC50, IC90 values5-7 days
Emerging variantsPseudovirus assays% neutralization at fixed antibody concentration3-4 days
Distantly related strainsBinding studies + functional assaysAffinity constants + functional impact7-10 days

What strategies can overcome epitope shielding when targeting conserved domains with SPAP27G11.14c?

Epitope shielding represents a significant challenge in antibody development, particularly when targeting conserved domains that may be protected by variable regions. Advanced strategies to address this include:

  • Antibody Engineering for Enhanced Penetration

    • Reduce antibody size through Fab or scFv formats

    • Modify the hinge region for improved flexibility

    • Engineer the CDR regions based on molecular dynamics simulations

  • Targeting Transitional Epitope States

    • Focus on conformational epitopes that become exposed during pathogen-host interactions

    • Utilize structural biology techniques to identify transiently exposed regions

    • The SC27 antibody's ability to recognize different spike protein characteristics suggests it may target epitopes that remain accessible across variants

  • Combination Approaches

    • Develop antibody cocktails targeting distinct epitopes

    • Pair antibodies with small-molecule drugs that induce conformational changes

    • Consider bispecific antibodies that can engage multiple epitopes simultaneously

For SPAP27G11.14c research, these approaches would need to be evaluated based on the specific target protein structure and functional requirements.

How can molecular docking inform antibody optimization and epitope prediction?

Molecular docking represents a powerful computational approach for predicting antibody-antigen interactions and guiding optimization efforts:

The research on Abs-9 demonstrates how molecular docking can be applied to predict antigenic epitopes. The researchers used "Alphafold2 and molecular docking methods" to predict and validate potential epitopes for the Abs-9 antibody . This approach combines advanced structural prediction with interaction modeling to identify the most likely binding sites.

A comprehensive molecular docking workflow for antibody research typically includes:

  • Structure Preparation

    • Generate antibody models using homology modeling or AlphaFold

    • Prepare antigen structures from experimental data or prediction

    • Define flexible regions and binding constraints

  • Docking Simulations

    • Employ multiple docking algorithms (e.g., HADDOCK, AutoDock, Rosetta)

    • Run ensemble docking with different antibody conformations

    • Implement knowledge-based constraints from experimental data

  • Analysis and Validation

    • Score docking poses using energy functions

    • Cluster results to identify primary binding modes

    • Compare predictions with experimental epitope mapping data

  • Optimization Guidance

    • Identify key contact residues for mutagenesis

    • Design affinity maturation strategies

    • Predict cross-reactivity with variant antigens

This approach provides structural insights that inform rational antibody engineering efforts, potentially improving binding affinity, specificity, and neutralizing capacity.

What is the optimal approach for evaluating SPAP27G11.14c efficacy in preclinical models?

Comprehensive preclinical evaluation requires a strategic approach that balances in vitro characterization with relevant in vivo models:

In Vitro Efficacy Assessment:

  • Binding studies to confirm target engagement (ELISA, surface plasmon resonance)

  • Functional assays to demonstrate mechanism of action

  • Cell-based assays to confirm efficacy in relevant cellular contexts

Animal Model Selection:
The choice of animal model should be guided by specific research questions. For antibodies targeting human antigens, options include:

  • Humanized Mouse Models: Used successfully to evaluate CD27-targeting antibody 1F5, where "1F5 significantly enhanced the survival of SCID mice bearing Raji or Daudi tumors"

  • Non-Human Primates: Provides important toxicity and safety data. For the CD27 antibody, "administration of up to 10 mg/kg of 1F5 to cynomolgus monkeys was well tolerated without evidence of significant toxicity or depletion of circulating lymphocytes"

  • Species-Specific Considerations: Ensure cross-reactivity with animal orthologs or use species-specific surrogate antibodies

Dosing and Administration:

  • Conduct dose-ranging studies to establish dose-response relationships

  • Evaluate multiple administration routes (IV, SC, IP)

  • Consider pharmacokinetic/pharmacodynamic (PK/PD) modeling to optimize dosing schedules

Endpoint Selection:
Choose endpoints relevant to the antibody's mechanism of action and disease context. Monitor both efficacy parameters and safety indicators.

Model TypeKey AdvantagesLimitationsBest For
In vitro bindingPrecise affinity measurementLimited functional insightsInitial characterization
Cell-based assaysFunctional readoutsMay not reflect in vivo complexityMechanism studies
Humanized miceHuman target engagementLimited immune componentsProof-of-concept
Non-human primatesClosely resembles humansHigher cost, ethical considerationsSafety/toxicity

What quality control parameters are essential when evaluating purified SPAP27G11.14c for research applications?

Rigorous quality control is critical for ensuring reproducible results in antibody research. Essential parameters include:

  • Purity Analysis

    • SDS-PAGE with Coomassie staining (>95% purity recommended)

    • Size exclusion chromatography to detect aggregates

    • Endotoxin testing (limit <0.5 EU/mg protein)

  • Identity Confirmation

    • Mass spectrometry to verify protein mass and sequence

    • Western blotting with anti-human IgG detection

    • N-terminal sequencing for additional verification

  • Functional Characterization

    • Binding affinity determination via ELISA or Biolayer Interferometry

    • Target specificity testing against related proteins

    • Functional activity in appropriate biological assays

  • Stability Assessment

    • Accelerated stability studies at elevated temperatures

    • Freeze-thaw stability (minimum 3 cycles)

    • Long-term storage stability at recommended conditions

For research applications, lot-to-lot consistency is particularly important. Establishing reference standards and implementing robust acceptance criteria helps maintain experimental reproducibility across studies.

How can I design single-cell RNA and VDJ sequencing experiments to identify novel antibodies similar to SPAP27G11.14c?

Single-cell RNA and VDJ sequencing represents a powerful approach for antibody discovery, as demonstrated in the identification of S. aureus antibodies . A comprehensive experimental design would include:

Sample Preparation:

  • PBMC isolation using Ficoll separation as described in the literature: "Blood samples were diluted with an equal volume of PBS buffer and carefully layered over Ficoll separation solution. After centrifugation at 2000 rpm for 20 min, the white cell layer was collected, washed with PBS, and centrifuged at 1500 rpm for 10 min"

  • Antigen-specific B cell enrichment using biotinylated target protein: "Biotinylated antigenic protein was incubated with PBMCs at 4°C for 25 min in the dark, followed by flow cytometric staining"

  • Flow cytometry sorting using appropriate markers: "Single antigen-specific memory B lymphocytes were sorted using the gating strategy CD19+CD20+IgG+CD3−CD14−CD56−"

Sequencing Strategy:

  • Single-cell isolation using microfluidics or sorting

  • Paired heavy and light chain amplification

  • Library preparation with unique molecular identifiers

  • Deep sequencing to ensure adequate coverage

Bioinformatic Analysis Pipeline:

  • Quality filtering and preprocessing

  • VDJ gene assignment and CDR identification

  • Clonotype clustering and frequency analysis

  • Selection of candidates based on:

    • Clonal expansion (frequency)

    • Somatic hypermutation patterns

    • CDR3 sequence features

    • Germline divergence

Candidate Validation:

  • Recombinant expression of selected candidates

  • Initial screening via ELISA or similar binding assays

  • Functional characterization of promising antibodies

  • Structural analysis of antibody-antigen complexes

This approach facilitates the identification of diverse antibody candidates, including those that may recognize the same target through different binding modes or epitopes.

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