haly-1 Antibody

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Description

HLA Antibodies: Overview and Significance

Human Leukocyte Antigen (HLA) antibodies target polymorphic HLA molecules critical for immune regulation. These antibodies are classified based on their reactivity to HLA class I (HLA-A, -B, -C, -E, -F, -G) or class II (HLA-DR, -DQ, -DP) isoforms .

Key Features of HLA Antibodies:

PropertyHLA Class I AntibodiesHLA Class II Antibodies
Target Domainsα1, α2 (variable); α3 (conserved) α1, β1 (variable)
Structural VariantsFace-1 (intact), Face-2 (β2m-free) HLA-DR, -DQ, -DP isoforms
Functional RolesT-cell activation, immune homeostasis B-cell activation, antigen presentation
Therapeutic ApplicationsIVIg, TFL-006/007 mAbs 1D09C3 (clinical trial)

2.2. Mechanisms in Immune Homeostasis

HLA-I antibodies regulate immune responses by:

  • Inhibiting CD8+ T-cells via PD-1/PD-L1 interactions .

  • Reducing myeloid-derived suppressor cells (MDSCs) in tumor microenvironments .

  • Modulating NK cell activity through KIR receptor blockade .

3.1. Diagnostic Applications

  • Anti-Jo-1 Antibodies: A subset of HLA-associated autoantibodies targeting histidyl-tRNA synthetase, linked to polymyositis and interstitial lung disease .

    • Prevalence: 20–30% in polymyositis; >65% in myositis with lung involvement .

    • Detection: Multiplex flow immunoassays (cutoff: >40 AU/mL) .

3.2. Therapeutic Development

AntibodyTargetPhaseIndicationSource
TFL-006/007HLA-I Face-2PreclinicalAutoimmunity, transplantation
1D09C3HLA-DRPhase I (terminated)Lymphoma, leukemia
AdalimumabTNF (guided selection)FDA-approvedRheumatoid arthritis

Future Directions

  • Inverted D Genes: Novel antibody diversity mechanisms involving inverted D genes (InvDs) in CDR-H3 regions enhance antigen recognition (e.g., HIV-1 gp120 binding) .

  • Complement Activation: HLA-C1q assays identify complement-fixing antibodies for transplant risk stratification .

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
haly-1 antibody; F47B10.2 antibody; Histidine ammonia-lyase antibody; Histidase antibody; EC 4.3.1.3 antibody
Target Names
haly-1
Uniprot No.

Q&A

What is the haly-1 Antibody and how does it relate to the Human Leukocyte Antigen (HLA) system?

The haly-1 Antibody belongs to the broader family of Human Leukocyte Antigen (HLA) antibodies that target polymorphic HLA molecules critical for immune regulation. HLA antibodies are classified based on their reactivity to either HLA class I (HLA-A, -B, -C, -E, -F, -G) or class II (HLA-DR, -DQ, -DP) isoforms. The haly-1 Antibody is typically supplied in a buffer containing preservatives such as 0.03% Proclin 300 and in a composition of 50% Glycerol and 0.01M Phosphate Buffered Saline to maintain stability and functionality.

Like other HLA antibodies, haly-1 likely plays important roles in immune regulation through specific binding to HLA epitopes, though its exact binding specificity and target domains should be experimentally verified for each research application.

How do HLA class I and class II antibodies differ in their structural targeting and functional applications?

HLA class I and class II antibodies differ significantly in their target domains, structural variants, and functional roles, as summarized below:

PropertyHLA Class I AntibodiesHLA Class II Antibodies
Target Domainsα1, α2 (variable); α3 (conserved)α1, β1 (variable)
Structural VariantsFace-1 (intact), Face-2 (β2m-free)HLA-DR, -DQ, -DP isoforms
Functional RolesT-cell activation, immune homeostasisB-cell activation, antigen presentation
Therapeutic ApplicationsIVIg, TFL-006/007 mAbs1D09C3 (clinical trial)

Understanding these differences is crucial when designing experiments involving haly-1 Antibody or other HLA antibodies, as the target class will determine appropriate experimental conditions, controls, and expected outcomes.

What are the primary research applications for haly-1 and other HLA antibodies?

HLA antibodies including haly-1 have diverse research applications in immunology, transplantation, oncology, and autoimmunity studies. Key applications include:

  • Immunoregulation studies: HLA-I antibodies regulate immune responses by reducing myeloid-derived suppressor cells (MDSCs) in tumor microenvironments.

  • Autoimmunity research: HLA-associated autoantibodies like Anti-Jo-1 antibodies target specific cellular components (e.g., histidyl-tRNA synthetase) and are linked to conditions such as polymyositis and interstitial lung disease.

  • Therapeutic development: Multiple HLA-targeting antibodies are in various stages of development, from preclinical (TFL-006/007 targeting HLA-I Face-2) to clinical trials (1D09C3 targeting HLA-DR).

  • Transplantation research: HLA antibodies are critical in understanding organ rejection mechanisms and developing strategies to improve graft survival.

What are the recommended protocols for validating haly-1 antibody specificity in experimental settings?

Validating antibody specificity is critical before conducting experiments. For haly-1 and other HLA antibodies, consider implementing the following validation protocol:

  • Western blotting validation: Similar to the approach used for other antibodies such as SNB-1, where specificity was confirmed by comparing wild type and mutant lysates to observe expected band size shifts (e.g., from 16 kDa to 19 kDa in mutants) .

  • Immunostaining controls: Include positive controls (tissues known to express the target) and negative controls (tissues without target expression or knockout models) .

  • Epitope mapping: Determine the specific binding epitope (e.g., "PRPSNKRLQQ" as was done for SNB-1 antibody) , which can inform cross-reactivity potential.

  • Cross-validation with other methods: Compare results with other antibodies targeting the same protein or with GFP-fusion constructs expressing the target protein .

  • Isotype determination: Confirm the antibody isotype (e.g., IgG1, IgM, or mixed isotypes like IgG1+IgG2a+IgM seen with some antibodies) as this affects application protocols .

How should researchers optimize immunostaining protocols when using haly-1 antibody for microscopy applications?

When optimizing immunostaining protocols with haly-1 antibody, researchers should consider:

  • Fixation method optimization: Different fixation methods (paraformaldehyde, methanol, acetone) can affect epitope accessibility. Test multiple methods to determine which best preserves the epitope structure while maintaining tissue morphology.

  • Antibody dilution titration: Based on practices with other antibodies like DLG-1, perform a dilution series (typically starting at 1:200) to determine optimal antibody concentration that maximizes specific signal while minimizing background .

  • Blocking optimization: Use appropriate blocking agents (5-10% normal serum from the secondary antibody species) to reduce non-specific binding.

  • Permeabilization adjustment: If the epitope is intracellular, optimize detergent concentration (Triton X-100, Tween-20) to balance cell permeabilization with epitope preservation.

  • Signal detection and amplification: For weakly expressed targets, consider signal amplification methods such as tyramide signal amplification, which has been successful with other challenging antibodies.

  • Counterstaining selection: Choose appropriate counterstains that don't interfere with haly-1 antibody signal wavelengths.

How can researchers effectively use haly-1 antibody in studies of immune regulation and tumor microenvironments?

For advanced applications in immune regulation and tumor studies, consider the following methodological approach:

  • MDSC modulation studies: Since HLA-I antibodies regulate immune responses by reducing myeloid-derived suppressor cells in tumor microenvironments, design experiments to:

    • Quantify MDSC populations before and after antibody treatment using flow cytometry

    • Assess functional changes in T-cell activation through proliferation assays

    • Measure cytokine production shifts using ELISA or multiplex cytokine arrays

  • Tumor microenvironment investigation protocol:

    • Use immunohistochemistry with haly-1 alongside other immune cell markers

    • Implement multi-color flow cytometry panels to characterize immune cell populations

    • Apply spatial transcriptomics to correlate antibody binding with localized gene expression changes

  • Time-course experiments: Design time-resolved studies to track the kinetics of immune cell population changes following antibody administration.

  • Combinatorial approaches: Test haly-1 in combination with other immunomodulatory agents to identify synergistic effects, similar to therapeutic antibody development strategies.

What considerations should researchers take into account when comparing haly-1 antibody with other HLA antibodies in experimental settings?

When conducting comparative studies between haly-1 and other HLA antibodies, researchers should consider:

  • Epitope overlap analysis: Determine whether antibodies target overlapping or distinct epitopes, which affects competitive binding experiments.

  • Isotype effects: Different antibody isotypes (IgG1, IgG2a, IgM) exhibit different effector functions that may confound comparative results, as observed with other antibodies like HMR-1 where different isotypes showed varying detection capabilities in western blots .

  • Cross-reactivity profiling: Comprehensively assess cross-reactivity against HLA variants to create a specificity profile using techniques such as:

    • Peptide arrays with HLA variant sequences

    • Binding assays with recombinant HLA proteins

    • Cell panels expressing different HLA alleles

  • Functional endpoint selection: Choose appropriate functional readouts based on whether the antibody targets HLA class I (T-cell activation) or class II (B-cell activation, antigen presentation).

  • Quantitative comparison methodology:

    • Use surface plasmon resonance to compare binding affinities (KD values)

    • Perform side-by-side neutralization assays

    • Implement competitive binding studies to determine relative affinities

What are the current challenges in developing therapeutic applications of HLA antibodies like haly-1?

Current challenges in therapeutic HLA antibody development include:

  • Specificity optimization: Achieving high specificity for particular HLA alleles without unwanted cross-reactivity remains challenging. Current approaches include:

    • Humanization of mouse-derived antibodies, similar to methods used for SARS-CoV-2 neutralizing antibodies

    • Single B cell cloning from human donors with specific HLA reactivity patterns

    • Structure-guided mutation to enhance specificity for particular epitopes

  • Clinical translation barriers:

    ChallengeCurrent Research Approaches
    ImmunogenicityHumanization, de-immunization strategies
    Delivery to target tissuesAntibody-drug conjugates, targeted nanoparticles
    Dosing optimizationPK/PD modeling, biomarker development
    Side effect managementEpitope selection to avoid off-target effects
  • Regulatory considerations: Therapeutic HLA antibodies must navigate complex regulatory pathways due to their immunomodulatory effects, requiring robust preclinical safety data.

  • Functional variability: As seen with other antibodies like SNB-1 and HMR-1, different clones targeting the same protein can exhibit substantial variability in different applications (western blot vs. immunostaining) , necessitating thorough validation for therapeutic applications.

How should researchers interpret unexpected cross-reactivity when using haly-1 antibody in multi-species studies?

When encountering unexpected cross-reactivity with haly-1 antibody across species:

  • Epitope conservation analysis: Compare the sequence homology of the target epitope across species using bioinformatics tools. High conservation may explain legitimate cross-reactivity.

  • Validation through knockout controls: Test antibody reactivity in tissues from knockout organisms or cell lines where the target has been deleted using CRISPR-Cas9, similar to validation approaches for other antibodies .

  • Competition assays: Perform pre-absorption experiments with purified antigens to determine if cross-reactivity is due to specific binding to conserved epitopes or non-specific interactions.

  • Western blot analysis of different species: Compare banding patterns across species samples; true cross-reactivity should show bands of appropriate molecular weights in evolutionarily related species.

  • Alternative detection methods: Confirm findings using non-antibody-based methods like mass spectrometry or transcriptomics to verify target protein presence.

What methodological approaches can resolve contradictory results when using haly-1 antibody across different experimental platforms?

When faced with contradictory results across platforms (e.g., positive western blot but negative immunostaining):

  • Epitope accessibility assessment: Different experimental methods expose different epitopes. For example, denaturation in western blotting versus native conformation in immunostaining can affect antibody binding, as seen with antibodies like HMR-1 which performed differently in various applications .

  • Protocol optimization matrix: Systematically vary key parameters across platforms:

    • Fixation methods (cross-linking vs. precipitating fixatives)

    • Blocking reagents (BSA, casein, normal serum)

    • Detergent types and concentrations

    • Antibody concentration and incubation conditions

  • Multiple antibody validation: Test multiple antibodies against different epitopes of the same protein, as done with SNB-1, DLG-1, and LMN-1 antibodies where multiple hybridoma cell lines were generated and compared .

  • Sample preparation considerations: Differences in sample preparation can affect results:

    • Protein denaturation conditions for western blotting

    • Fixation and permeabilization for immunostaining

    • Epitope retrieval methods for immunohistochemistry

  • Environmental factors: Control for pH, temperature, and buffer composition, which can significantly impact antibody-epitope interactions.

What are the best practices for quantifying haly-1 antibody binding in complex tissue samples?

For accurate quantification of haly-1 antibody binding in complex tissues:

  • Image analysis standardization:

    • Use consistent acquisition parameters (exposure, gain, offset)

    • Apply appropriate background subtraction methods

    • Implement thresholding algorithms to distinguish specific from non-specific signal

    • Consider machine learning approaches for complex pattern recognition

  • Internal controls incorporation:

    • Include calibration standards in each experiment

    • Use internal reference markers with known expression levels

    • Implement spike-in controls with defined quantities of target protein

  • Multi-parameter normalization strategy:

    • Normalize to total protein content

    • Use housekeeping proteins as loading controls

    • Account for tissue-specific autofluorescence

  • Statistical analysis approach:

    • Apply appropriate statistical tests for the experimental design

    • Use power analysis to determine sample size requirements

    • Consider hierarchical or mixed models for nested experimental designs

    • Implement multiple comparison corrections for large-scale analyses

  • Validation with orthogonal methods: Confirm key findings using complementary techniques like flow cytometry, ELISA, or mass spectrometry to validate microscopy-based quantification.

How might single-cell technologies enhance the application of haly-1 antibody in immunological research?

Single-cell technologies offer powerful new approaches for haly-1 antibody applications:

  • Single-cell antibody sequencing applications: Similar to approaches used for SARS-CoV-2 neutralizing antibodies from humanized mice , single-cell technologies can:

    • Identify rare HLA-reactive B cells in patient samples

    • Characterize the BCR repertoire associated with specific HLA responses

    • Enable isolation of novel HLA antibodies with unique binding properties

  • Spatial profiling methodologies:

    • Implement multiplexed ion beam imaging (MIBI) or imaging mass cytometry (IMC) to visualize haly-1 binding in the spatial context of the tissue microenvironment

    • Apply spatial transcriptomics to correlate antibody binding with gene expression patterns

    • Use multiplexed immunofluorescence to study co-localization with other immune markers

  • Single-cell functional assays:

    • Develop droplet-based assays to measure individual cell responses to haly-1 antibody

    • Apply CyTOF (mass cytometry) to simultaneously measure multiple cellular parameters following antibody treatment

    • Implement live-cell imaging to track dynamic responses to antibody binding

  • Integration of multi-omics data: Combine antibody binding data with transcriptomic, proteomic, and metabolomic profiles at single-cell resolution to comprehensively characterize cellular responses.

What emerging technologies might improve haly-1 antibody specificity and application range?

Emerging technologies to enhance haly-1 antibody performance include:

  • Antibody engineering strategies:

    • Humanization approaches similar to those used for SP1-77 which maintained broad neutralization capacity against multiple SARS-CoV-2 variants

    • CDR optimization through directed evolution or rational design

    • Affinity maturation through yeast or phage display technologies

  • Novel detection systems:

    • Proximity ligation assays for improved sensitivity

    • Split-fluorescent protein complementation for studying protein-protein interactions

    • CRISPR-based tagging systems for endogenous protein labeling

  • Advanced microscopy integration:

    • Super-resolution microscopy techniques (STORM, PALM, STED) for nanoscale visualization of antibody binding

    • Lattice light-sheet microscopy for rapid volumetric imaging with reduced phototoxicity

    • Adaptive optics for improved imaging in thick tissue samples

  • Computational enhancements:

    • Machine learning algorithms for improved image analysis

    • Molecular dynamics simulations to predict antibody-epitope interactions

    • Structure-based design of antibody variants with enhanced properties

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