ASK10 Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300. Constituents: 50% Glycerol, 0.01M PBS, pH 7.4.
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
ASK10 antibody; At3g21860 antibody; MSD21.23SKP1-like protein 10 antibody; AtSK10 antibody
Target Names
ASK10
Uniprot No.

Target Background

Function
This antibody targets a protein involved in ubiquitination and subsequent proteasomal degradation of target proteins. It functions as a component of the SCF (Skp1-Cullin-F-box protein) E3 ubiquitin ligase complex, alongside CUL1, RBX1, and an F-box protein. The specific substrates targeted by this complex are determined by the associated F-box protein. Within the SCF complex, this protein acts as an adaptor, linking the F-box protein to CUL1.
Database Links

KEGG: ath:AT3G21860

STRING: 3702.AT3G21860.1

UniGene: At.70381

Protein Families
SKP1 family
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in young seedlings, roots, leaves, floral stems, inflorescences, and siliques.

Q&A

What is the ASK10 receptor and how does it relate to the Ephrin receptor family?

The ASK10 receptor appears to be closely related to the Ephrin receptor A10 (EphA10) family, which belongs to the receptor tyrosine kinase superfamily. EphA10 has unique expression characteristics, being nearly undetectable in most normal tissues except for the male testis, while showing significant expression in several malignancies, particularly triple-negative breast cancer (TNBC) . This restricted expression pattern makes EphA10 (and by extension, antibodies targeting it) particularly valuable for targeted cancer therapies with potentially minimal adverse effects on normal tissues.

The receptor is part of the broader ephrin receptor family, which plays critical roles in developmental processes and has been implicated in tumor progression. Understanding the relationship between ASK10 and other ephrin receptor family members is essential for developing highly specific antibodies with minimal cross-reactivity .

How should researchers validate ASK10 antibody specificity before experimental use?

Validation of ASK10 antibody specificity requires a multi-method approach to ensure experimental results are reliable and reproducible:

  • Cross-reactivity testing: Evaluate binding against other Ephrin receptor family members to confirm specificity. Published research demonstrates the importance of confirming that anti-EphA10 monoclonal antibodies recognize surface EphA10 but not other EphA family isoforms .

  • Validation repository consultation: Before beginning experiments, search established antibody validation repositories to determine if existing validation data exists for your antibody of interest:

Repository TypeExamplesApplicationsNotes
General repositoriesAntibodypedia, CiteAbAnyMay include validation data across multiple applications
Imaging-specificHuman Protein AtlasIHC, IF, ICCFocuses on human tissues and cells
Application-specificImmune Epitope DBFlow cytometrySpecialized for immune cell applications
Cancer-focusedThe Cancer Antibody AtlasVarious cancer applicationsValidation in tumor tissues

Researchers should consult multiple repositories as validation data may vary across experimental systems and applications .

  • In-house validation: Always perform validation in your specific experimental system, including positive and negative controls, regardless of published validation data. Techniques include immunoblotting against recombinant protein, immunoprecipitation followed by mass spectrometry, and testing in knockout/knockdown systems .

What distinguishes monoclonal from recombinant monoclonal antibodies in ASK10 research?

In ASK10/EphA10 research, the distinction between traditional monoclonal antibodies and recombinant monoclonal antibodies has significant implications:

Traditional monoclonal antibodies:

  • Produced by hybridoma technology

  • Subject to potential batch-to-batch variability

  • Derived from a single B-cell clone but produced in varying culture conditions

Recombinant monoclonal antibodies:

  • Produced from sequenced antibody genes in defined expression systems

  • Offer superior lot-to-lot consistency

  • Ensure reliable supply and reproducible results

  • Represent approximately 25% of the most popular antibody products in research applications

For ASK10 research, recombinant monoclonal antibodies offer particular advantages when studying rare or novel epitopes, as their defined sequence allows for precise engineering of binding properties and reproducible experimental outcomes across different studies .

What cutting-edge approaches are available for discovering novel ASK10-targeting antibodies?

Recent technological advances have revolutionized antibody discovery processes for targets like ASK10:

Microfluidics-enabled single-cell encapsulation: This approach represents a significant advancement in antibody discovery. The technique:

  • Encapsulates single antibody-secreting cells (ASCs) into antibody capture hydrogels at rates of 10^7 cells per hour

  • Creates a stable matrix around each cell that concentrates secreted antibodies

  • Allows for simple addition/removal of detection reagents

  • Utilizes fluorescence-activated cell sorting (FACS) for high-throughput isolation of antigen-specific ASCs

  • Preserves the critical link between phenotype (the secreted antibody) and genotype (the cell encoding it)

This methodology has demonstrated remarkable efficiency, with studies showing:

  • Processing of millions of mouse and human ASCs in single campaigns

  • Identification of high-affinity antibodies (<1 pM) in just 2 weeks

  • Exceptional hit rates (>85% of characterized antibodies binding target antigens)

For ASK10 research, this approach could significantly accelerate the discovery of high-affinity, highly specific antibodies by accessing the underexplored antibody-secreting cell compartment, which represents the active humoral immune response .

How can computational models enhance ASK10 antibody specificity engineering?

Computational approaches are increasingly valuable for designing antibodies with custom specificity profiles against targets like ASK10:

Energy function optimization: Advanced computational models employ energy functions associated with binding modes to predict and design antibody specificity. These models can be used to:

  • Design cross-specific antibodies that interact with several distinct ligands by jointly minimizing energy functions associated with desired targets

  • Create highly specific antibodies by minimizing energy functions associated with desired targets while maximizing those associated with undesired targets

Phage display integration: Computational modeling paired with phage display experimental validation creates a powerful iterative approach:

  • Phage display experiments provide training data for computational models

  • Models predict outcomes for new antibody-ligand combinations

  • Experimental validation refines model accuracy

  • The refined model proposes novel antibody sequences with customized specificity profiles

For ASK10 research, these computational approaches could facilitate the development of antibodies that specifically recognize ASK10 while excluding closely related family members, addressing one of the key challenges in creating truly specific research and therapeutic tools .

What strategies can optimize antibody screening workflows for identifying ASK10-specific binders?

Optimizing screening workflows for ASK10-specific antibodies requires integration of multiple complementary approaches:

  • Multiplexed antigen screening: Simultaneously screen candidate antibodies against ASK10 and related family members to immediately identify those with the desired specificity profile. This approach:

    • Rapidly eliminates cross-reactive antibodies early in the workflow

    • Reduces downstream characterization efforts

    • Streamlines identification of truly specific binders

  • Compartmentalized screening protocols: Implement workflows that preserve the link between antibody phenotype (binding properties) and genotype (encoding sequence):

    • Single-cell encapsulation methods maintain this critical connection

    • Allows recovery of genetic information from cells producing antibodies with desired properties

    • Enables sequence analysis and recombinant production of interesting candidates

  • Tiered validation approach:

Validation TierMethodsPurpose
Primary screeningFlow cytometry with cell-expressed ASK10Initial identification of potential binders
Secondary validationELISA, BLI against recombinant proteinAffinity assessment and cross-reactivity testing
Tertiary validationCell-based functional assaysEvaluation of biological activity
Final validationIn vivo targeting studiesConfirmation of specificity in complex environments

This tiered approach ensures thorough characterization while optimizing resource allocation throughout the discovery pipeline .

How does ASK10/EphA10 expression correlate with cancer progression and prognosis?

Research on EphA10 (relevant to ASK10) has revealed significant correlations with cancer progression and prognosis:

EphA10 expression has been shown to correlate with tumor progression and poor prognosis in several malignancies, with triple-negative breast cancer (TNBC) showing particularly notable associations . Studies have identified:

  • Tumor-specific expression patterns: High expression levels of EphA10 have been detected in tumor regions of breast, lung, and ovarian cancers, with minimal expression in normal tissues (except testis) .

  • Microenvironment implications: Beyond tumor cells themselves, EphA10 expression has been observed in immunosuppressive myeloid cells within the tumor microenvironment, suggesting a potential role in immune evasion mechanisms .

  • Prognostic value: The correlation with poor prognosis indicates that EphA10 may be involved in aggressive tumor behaviors, making it both a valuable prognostic marker and potential therapeutic target .

For ASK10 research, these findings suggest that antibodies targeting this receptor may have significant value not only for detection and monitoring but also for therapeutic interventions that could potentially improve patient outcomes in multiple cancer types .

What methodological approaches have proven effective for developing ASK10/EphA10-specific monoclonal antibodies?

Development of highly specific monoclonal antibodies against ASK10/EphA10 requires specialized approaches:

  • Immunization strategies: Using recombinant protein fragments representing unique epitopes of ASK10/EphA10 that differ from related family members has proven effective. These immunogens should be carefully designed to exclude conserved domains shared with other family members .

  • Hybridoma screening protocol: A multi-step screening process focusing first on binding to native cell-surface ASK10/EphA10, followed by counter-screening against other family members, has successfully yielded specific antibodies. This approach identified antibodies like clone #4 that specifically recognize EphA10 without cross-reactivity to other EphA family isoforms .

  • In vivo validation: Testing antibody specificity in complex in vivo environments is critical. Research has demonstrated that anti-EphA10 mAbs can precisely target tumor regions in vivo with no apparent accumulation in other organs, confirming their specificity in physiological contexts .

These methodological approaches have successfully produced antibodies capable of distinguishing ASK10/EphA10 from closely related family members, an essential requirement for both research and therapeutic applications .

How can ASK10/EphA10 antibodies be leveraged for developing novel cancer immunotherapies?

ASK10/EphA10 antibodies offer multiple promising avenues for cancer immunotherapy development:

  • Direct targeting approaches: Anti-EphA10 monoclonal antibodies have demonstrated the ability to enhance tumor regression and therapeutic response rates in syngeneic TNBC mouse models, suggesting direct anti-tumor effects .

  • Chimeric antigen receptor T cell (CAR-T) therapy: EphA10 mAbs have been successfully used to develop CAR-T cells that:

    • Significantly inhibit TNBC cell viability in vitro

    • Suppress tumor growth in vivo

    • Represent a promising strategy for patients with EphA10-positive tumors

  • Enhancement of T cell-mediated immunity: Beyond direct targeting, EphA10 antibodies have shown capability to enhance T cell-mediated antitumor immunity, suggesting potential for combination with other immunotherapy approaches .

These findings suggest that ASK10/EphA10-targeting antibodies may offer multiple mechanistic pathways for therapeutic intervention, potentially expanding the armamentarium available for treating cancers expressing this target .

What experimental controls are essential when validating ASK10 antibodies for research applications?

Rigorous validation of ASK10 antibodies requires comprehensive controls to ensure experimental robustness:

Essential experimental controls:

Control TypeImplementationPurpose
Positive expression controlCell lines with confirmed ASK10/EphA10 expression (e.g., TNBC lines)Verify antibody can detect known target expression
Negative expression controlNormal tissue samples (except testis) or knockout cell linesConfirm specificity and absence of non-specific binding
Family member cross-reactivityCells expressing other ephrin receptors but not ASK10/EphA10Assess potential cross-reactivity with related proteins
Isotype controlMatching isotype antibody with irrelevant specificityIdentify non-specific binding due to antibody class
Blocking controlPre-incubation with recombinant ASK10/EphA10 proteinConfirm binding specificity through competition

Implementation of these controls provides a comprehensive validation framework essential for establishing antibody reliability before use in critical research applications .

How can researchers reconcile contradictory data when validating ASK10 antibody specificity?

Contradictory results during antibody validation require systematic investigation:

  • Application-specific performance evaluation: Antibodies may perform differently across applications. Methodically test in multiple contexts:

    • Immunoblotting (denatured vs. native conditions)

    • Immunoprecipitation (capturing native complexes)

    • Immunofluorescence (preserving spatial context)

    • Flow cytometry (cell-surface vs. intracellular staining)

  • Epitope accessibility analysis: Contradictory results may stem from differential epitope availability:

    • Evaluate fixation and permeabilization effects

    • Test alternative sample preparation methods

    • Consider native protein conformation in different experimental contexts

  • Data integration approach: When faced with contradictory results:

    • Consult antibody data repositories for similar reports

    • Compare with alternative antibody clones targeting different epitopes

    • Correlate antibody-based detection with orthogonal methods (e.g., mRNA expression)

    • Document conditions where results are reproducible versus contradictory

This systematic approach allows researchers to define reliable experimental parameters and understand the limitations of specific antibody reagents .

What methodological considerations are critical for evaluating ASK10 antibody performance in complex tissue environments?

Evaluating ASK10 antibody performance in complex tissues requires specialized methodological considerations:

  • Tissue preparation optimization:

    • Fixation protocol: Optimize fixation time and conditions to preserve epitope recognition while maintaining tissue architecture

    • Antigen retrieval: Determine optimal methods (heat-induced vs. enzymatic) for exposing ASK10 epitopes without creating artifacts

    • Blocking protocols: Implement comprehensive blocking to minimize non-specific binding in complex tissue matrices

  • Multi-parameter analysis:

    • Co-staining approaches: Combine ASK10 antibody with markers for specific cell types to characterize expression patterns

    • Sequential staining: For co-localization studies with antibodies from the same species, employ sequential staining with intermediate blocking steps

    • Multiplexed imaging: Consider advanced platforms like IBEX multiplex tissue imaging for comprehensive spatial analysis

  • Validation in relevant models:

    • Patient-derived xenografts: Test antibody performance in models that recapitulate human tumor heterogeneity

    • Fresh vs. archived samples: Evaluate performance across different sample types and storage conditions

    • Comparative analysis: Benchmark against established markers with known expression patterns

These methodological considerations ensure that ASK10 antibody performance in complex tissues yields reliable, reproducible, and biologically meaningful results .

How might emerging antibody technologies enhance ASK10 research and therapeutic development?

Several emerging technologies hold promise for advancing ASK10 research and therapeutic applications:

  • Bispecific antibody platforms: Developing bispecific antibodies that simultaneously target ASK10/EphA10 and immune effector cells could enhance therapeutic efficacy by:

    • Directing immune responses specifically to ASK10-expressing tumor cells

    • Potentially overcoming immune suppression in the tumor microenvironment

    • Offering novel mechanisms of action beyond traditional antibody approaches

  • Antibody-drug conjugates (ADCs): The highly restricted expression pattern of ASK10/EphA10 makes it an ideal target for ADC development:

    • Leveraging the specificity of anti-ASK10 antibodies to deliver cytotoxic payloads

    • Minimizing off-target effects due to limited expression in normal tissues

    • Potentially addressing resistant tumor populations

  • Advanced computational design: Next-generation computational approaches could:

    • Optimize antibody binding properties with unprecedented precision

    • Engineer novel binding modes that access previously unexploited epitopes

    • Create custom specificity profiles tailored to specific research or therapeutic needs

These emerging technologies could significantly expand the utility of ASK10 antibodies in both research and clinical applications, potentially leading to novel therapeutic modalities for ASK10-expressing malignancies .

What experimental approaches can address unresolved questions about ASK10 function in normal and pathological states?

Several experimental approaches could illuminate unresolved questions about ASK10 function:

  • Conditional knockout models: Developing tissue-specific and inducible ASK10/EphA10 knockout models would allow:

    • Investigation of developmental versus adult functions

    • Analysis of tissue-specific roles without systemic effects

    • Evaluation of acute versus chronic loss of function

  • CRISPR-based screening: Genome-wide CRISPR screens in ASK10-expressing cells could:

    • Identify synthetic lethal interactions with ASK10

    • Discover signaling pathway connections

    • Reveal potential resistance mechanisms to ASK10-targeted therapies

  • Single-cell approaches: Applying single-cell technologies to ASK10 research could:

    • Map heterogeneity of ASK10 expression within tumors

    • Correlate expression with cellular states and microenvironmental factors

    • Identify rare cell populations with unique ASK10-related functions

These approaches would significantly advance understanding of ASK10 biology while potentially uncovering new therapeutic vulnerabilities in ASK10-expressing cancers .

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