ASK9 Antibody

Shipped with Ice Packs
In Stock

Description

Clarification of Terminology

The term "ASK9" does not appear in any of the provided sources. Potential points of confusion include:

  • AAV9 Antibodies: Frequently discussed in gene therapy research for their role in neutralizing adeno-associated virus vectors .

  • ASK1 (MAP3K5) Antibodies: Referenced in one source as a kinase involved in stress response pathways .

Key Findings on AAV9 Antibodies

While not directly related to "ASK9," AAV9 antibodies are well-characterized in gene therapy contexts:

AAV9 Antibody Prevalence

Age GroupSeroprevalence RateStudy Citation
≤3 months18.2%
>9 months<5%
Adults30%–60%

Functional Impact

  • Neutralizing Activity: Pre-existing anti-AAV9 antibodies can block gene therapy efficacy by inhibiting viral vector transduction .

  • Assay Types:

    • Total Antibody Assays: Detect all AAV9-binding antibodies (e.g., ELISA) .

    • Transduction Inhibition Assays: Measure neutralizing capacity .

ASK1 Antibody (Unrelated to ASK9)

The only "ASK"-related antibody mentioned is Anti-ASK1 (phospho S966):

  • Target: MAP3K5, a kinase involved in oxidative stress responses .

  • Applications: Immunohistochemistry for research on apoptosis and immune signaling .

Research Gaps and Recommendations

  1. Terminology Verification: Confirm whether "ASK9" refers to a typographical error (e.g., AAV9, ASK1).

  2. Exploratory Studies: If ASK9 is a novel target, preliminary studies would require epitope mapping, structural characterization, and functional assays akin to those used for AAV9 .

Data Limitations

The absence of ASK9-specific data in peer-reviewed literature or commercial antibody databases (e.g., Abcam, Antibody Society) suggests that this compound may not yet be characterized or widely recognized in scientific contexts.

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
ASK9 antibody; At3g21850 antibody; MSD21.22SKP1-like protein 9 antibody; AtSK9 antibody
Target Names
ASK9
Uniprot No.

Target Background

Function
ASK9 is involved in the ubiquitination and subsequent proteasomal degradation of target proteins. It forms a SCF (Skp1-Cullin-F-box protein) E3 ubiquitin ligase complex in conjunction with CUL1, RBX1, and an F-box protein. The complex's functional specificity is determined by the specific F-box protein. Within the SCF complex, ASK9 acts as an adapter, linking the F-box protein to CUL1.
Database Links

KEGG: ath:AT3G21850

STRING: 3702.AT3G21850.1

UniGene: At.70382

Protein Families
SKP1 family
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in leaves, shoot apical meristem (SAM), roots, flowers and pollen.

Q&A

What are the primary methods for detecting Cas9 proteins in biological samples?

Cas9 protein detection in biological samples primarily relies on antibody-based immunodetection techniques. Current research demonstrates that polyclonal antibodies against Streptococcus pyogenes Cas9 (SpCas9) can be effectively produced through immunization schemes with the Cas9 protein. These antibodies enable detection through multiple methodologies:

  • Dot blot assays: Effective for determining minimum antigen detection limits, with studies showing sensitivity down to 1-10 ng of antigen depending on antibody preparation

  • Western blot analysis: Useful for detecting SpCas9 in complex biological samples like promastigotes of Leishmania braziliensis expressing exogenous SpCas9

  • Immunofluorescence microscopy: Allows visualization of Cas9 localization within cells

The production process typically involves immunization followed by antibody isolation combining yolk de-lipidation with protein salting out using pectin and ammonium sulfate, respectively. This approach yields highly sensitive and specific antibodies suitable for detecting SpCas9 across various biological contexts .

How do IgY polyclonal antibodies compare to other antibody types for Cas9 detection?

IgY polyclonal antibodies offer several distinct advantages for Cas9 detection in research settings:

  • Production efficiency: Studies demonstrate successful antibody production within a one-month immunization scheme, providing faster development timelines compared to some mammalian antibody systems

  • Non-invasive collection: IgY antibodies can be collected from egg yolks rather than blood, reducing animal stress during production

  • Cross-reactivity: IgY antibodies show reduced cross-reactivity with mammalian IgG and complement proteins, minimizing background interference in mammalian cell research

  • Specificity: Recent research indicates high specificity, with anti-SpCas9 IgY antibodies successfully detecting as little as 1 ng of antigen in immune blood samples

For researchers working with mammalian systems, these characteristics make IgY-based detection systems particularly valuable when background reduction is critical for experimental success.

What is the minimum detectable amount of Cas9 protein using current antibody technologies?

Detection sensitivity varies based on antibody preparation and detection methodology. According to recent experimental data:

Antibody preparationMinimum detectable amountMaximum effective dilution
P35% fraction (immune E28)10 ng1:5000
Immune blood samples 1 and 21 ng1:10,000
Pre-immune bloodNo detectionN/A

This data demonstrates that optimized antibody preparations can detect nanogram quantities of Cas9 protein, with immune blood samples showing superior sensitivity compared to P35% fractions . The detection limit can be further improved through signal amplification techniques, though this may introduce additional experimental variables.

How can researchers design antibodies with custom specificity profiles for Cas9 variants?

Designing antibodies with customized specificity profiles for different Cas9 variants involves sophisticated computational approaches coupled with experimental validation:

  • Biophysics-informed modeling: Begin by developing a computational model trained on experimentally selected antibodies, associating distinct binding modes with each potential ligand (Cas9 variant)

  • Binding mode identification: Perform phage display experiments with antibody selection against different combinations of closely related Cas9 variants to generate training data

  • Energy function optimization: For specific binding to a single Cas9 variant, minimize the energy function associated with the desired variant while maximizing functions associated with undesired variants

  • Cross-specific design: To create antibodies that recognize multiple Cas9 variants, jointly minimize the energy functions associated with all desired variants

  • Experimental validation: Test computationally predicted antibody sequences through binding assays with multiple Cas9 proteins to confirm specificity profiles

This approach enables the rational design of antibodies that can either selectively recognize specific Cas9 variants or demonstrate cross-reactivity across multiple variants, depending on experimental requirements .

What antigenic determinants in SpCas9 are most useful for antibody recognition?

Bioinformatic analysis has identified key antigenic determinants in the SpCas9 protein that serve as optimal targets for antibody recognition. The top antigenic peptides based on recent research include:

Antigenic peptide in SpCas9Position (residues)ScoreStructure location
RIDLS1359-13630.813Surface exposed
EEFYKFIKPILEKMDGTEELLVKLNREDLLR370-4000.798Protruding region
IKRYDEHHQDLTLLKALVRQQLPEKYKEIFFDQSKNGYAGYIDGGA322-3670.792Accessible domain
SFEKNPIDFLEAKGKDLII1173-11960.776Surface loop
SVLVVSVKELLGIT1142-11670.757Exposed region

These antigenic determinants were identified using the ElliPro continuous epitope prediction tool applied to the three-dimensional structure of SpCas9 (PDB ID: 4CMP) . Importantly, these specific sequences are not found in Cas9 proteins from other species such as Staphylococcus aureus (SaCas9), Francisella novicida (FnCas9), Neisseria meningitidis (NmCas9), and Campylobacter jejuni (CjCas9), which show less than 20% sequence identity with SpCas9 .

What approaches can overcome cross-reactivity challenges when developing antibodies against similar protein targets?

Overcoming cross-reactivity challenges when developing antibodies against similar protein targets requires sophisticated computational and experimental approaches:

  • Epitope mapping and analysis: Identify unique epitopes that are present in the target protein but absent in similar proteins using bioinformatics tools like ElliPro

  • Negative selection strategies: Implement phage display protocols that include counter-selection steps against similar proteins to remove cross-reactive antibodies

  • Computational disentanglement: Apply biophysics-informed models to identify and separate different binding modes associated with specific ligands, even when they are chemically very similar

  • Targeted mutagenesis: Introduce specific mutations in the antibody sequence based on computational predictions to enhance specificity for the target protein while reducing affinity for similar proteins

  • Machine learning optimization: Utilize machine learning approaches to predict antibody-antigen interactions and optimize sequences for enhanced specificity

Recent studies demonstrate that the combination of experimental selection with computational analysis enables the design of highly specific antibodies, even when discriminating between very similar epitopes that cannot be experimentally dissociated from other epitopes present in the selection .

How can anti-Cas9 antibodies advance CRISPR-based therapeutic applications?

Anti-Cas9 antibodies contribute significantly to advancing CRISPR-based therapeutic applications through multiple mechanisms:

  • Quality control and validation: Enable precise detection and quantification of Cas9 proteins in therapeutic preparations, ensuring consistent dosing and product standards

  • Monitoring cellular delivery: Allow tracking of Cas9 distribution and cellular uptake in experimental models, optimizing delivery systems for clinical applications

  • Prime and Base editing applications: Recent bioinformatics analyses suggest anti-SpCas9 antibodies could be applied in advanced genome editing approaches like Prime and Base editing technologies

  • Safety monitoring: Provide tools for detecting potential immune responses to Cas9 in clinical trial participants, informing safety profiles

  • Clearance assessment: Enable studies of Cas9 clearance kinetics from tissues, informing optimal dosing schedules and long-term safety considerations

By providing these critical research capabilities, anti-Cas9 antibodies help accelerate the translation of CRISPR technologies from laboratory research to clinical applications.

What are the methodological considerations when using anti-Cas9 antibodies for detecting Cas9 in parasites like Leishmania?

When utilizing anti-Cas9 antibodies for detecting Cas9 in parasites like Leishmania, researchers should consider several methodological factors to ensure reliable results:

  • Sample preparation optimization: Leishmania samples require specific lysis conditions that preserve Cas9 protein structure while effectively disrupting parasite membranes

  • Background reduction: Implementing appropriate blocking strategies is crucial as parasites may contain proteins that cause non-specific binding

  • Validation controls: Include Cas9-expressing and non-expressing parasite strains as positive and negative controls, respectively

  • Signal amplification considerations: In cases of low Cas9 expression, enhanced detection methods may be necessary while maintaining specificity

  • Antibody specificity verification: Confirm antibody specificity through preliminary testing against purified Cas9 protein before application to complex parasite samples

Recent research demonstrates that anti-SpCas9 IgY antibodies produced through specialized immunization protocols are effective for detecting exogenous SpCas9 in Leishmania braziliensis promastigotes, making them valuable tools for CRISPR/Cas-based studies in this parasite model .

How do antibody size and structure impact their effectiveness in detecting and neutralizing target proteins?

Antibody size and structure significantly influence their effectiveness in both detection and neutralization applications:

  • Tissue penetration and diffusion: Smaller antibody components, such as the variable heavy chain (VH) domains (approximately one-tenth the size of full antibodies), demonstrate enhanced tissue penetration and diffusion capabilities, allowing them to reach targets more effectively

  • Administration flexibility: Reduced size enables alternative administration routes, including inhalation delivery systems that may be impossible with full-sized antibodies

  • Detection sensitivity balance: While smaller antibody fragments may access epitopes more efficiently, they typically contain fewer binding domains, potentially reducing avidity compared to complete antibodies

  • Cellular interaction profiles: Engineered antibody components can be designed to minimize binding to human cells, reducing off-target effects and side effects, as demonstrated with the Ab8 antibody component developed for SARS-CoV-2

  • Stability considerations: Different antibody formats exhibit varying stability profiles under experimental conditions, affecting their utility in different research applications

The importance of size and structure is exemplified by recent research on SARS-CoV-2, where a tiny antibody component (Ab8) demonstrated superior neutralization capabilities compared to larger antibody structures, highlighting how structural optimization can dramatically improve antibody performance .

How can machine learning approaches improve antibody design for research applications?

Machine learning approaches are revolutionizing antibody design for research applications through several innovative strategies:

  • Binding mode identification: Advanced models can identify and disentangle multiple binding modes associated with specific ligands, enabling the prediction of antibody binding profiles beyond experimentally tested scenarios

  • Sequence-function relationships: Machine learning algorithms trained on experimental data can predict how sequence modifications will affect antibody function, allowing rational design of improved variants

  • Epitope prediction optimization: Computational tools can identify optimal epitopes based on protein structure and accessibility, enhancing antibody targeting efficiency

  • Cross-reactivity prediction: Models can assess potential cross-reactivity with unintended targets before experimental validation, saving time and resources

  • Library design enhancement: Machine learning can guide the design of smarter antibody libraries that cover greater functional diversity with fewer variants

Recent research demonstrates that biophysics-informed models can successfully predict binding properties and enable the design of antibodies with customized specificity profiles, either with specific high affinity for particular target ligands or with cross-specificity for multiple target ligands .

What technologies enable the development of broadly neutralizing antibodies against multiple variants of a target?

Several cutting-edge technologies are enabling the development of broadly neutralizing antibodies that can target multiple variants of a protein:

  • Hybrid immunity studies: Research approaches that combine natural infection and vaccination immune responses have proven successful in identifying broadly neutralizing antibodies, as demonstrated with the SC27 antibody that recognizes all known COVID-19 variants

  • High-throughput screening technologies: Advanced screening platforms allow researchers to test billions of potential antibody sequences against multiple variants simultaneously

  • Structural biology integration: Combining antibody discovery with detailed structural analyses helps identify conserved epitopes that remain accessible across variants

  • Single-cell sequencing approaches: Technologies that link antibody sequences with functional properties at the single-cell level enable more efficient identification of broadly neutralizing candidates

  • Computational epitope mapping: Sophisticated algorithms can predict conserved epitopes across variants, guiding experimental design toward regions most likely to yield broadly neutralizing antibodies

The successful development of the SC27 antibody against SARS-CoV-2 exemplifies this approach, where researchers isolated a broadly neutralizing plasma antibody from a single patient and determined its exact molecular sequence, enabling potential manufacturing for future treatments .

What controls should be included when validating new anti-Cas9 antibodies?

Comprehensive validation of new anti-Cas9 antibodies requires the inclusion of several critical controls:

  • Pre-immune samples: Include pre-immune serum or antibody preparations to establish baseline reactivity and identify any non-specific binding

  • Negative protein controls: Test antibodies against structurally similar but antigenically distinct proteins (like BSA) to confirm specificity

  • Concentration gradients: Perform dilution series of both antibody and antigen to determine detection limits and optimal working concentrations

  • Cross-reactivity panel: Test against other Cas proteins (SaCas9, FnCas9, etc.) to assess specificity within the Cas protein family

  • Cellular expression controls: Include cells expressing and not expressing Cas9 to verify detection in complex biological samples

  • Blocking peptide validation: For epitope-specific antibodies, include competition assays with the target peptide to confirm binding specificity

Recent research on anti-SpCas9 IgY antibodies demonstrates the importance of these controls, showing that while immune samples detected as little as 1 ng of antigen, pre-immune samples showed no detection, confirming the specificity of the developed antibodies .

What methods can optimize antibody production for research applications while minimizing batch-to-batch variation?

Optimizing antibody production while minimizing batch-to-batch variation requires implementation of several methodological approaches:

  • Standardized immunization protocols: Implement consistent immunization schedules and antigen preparation methods, such as the one-month immunization scheme with Cas9 protein that produced reliable anti-SpCas9 antibodies

  • Controlled isolation procedures: Utilize consistent isolation techniques combining yolk de-lipidation with protein salting out using standardized reagents like pectin and ammonium sulfate

  • Quality control checkpoints: Implement regular testing of antibody preparations against reference standards to identify deviations early

  • Pooling strategies: When appropriate, pool antibodies from multiple production runs to average out minor variations

  • Recombinant antibody production: For critical applications, consider transitioning to recombinant antibody production based on sequence information derived from successful polyclonal preparations

  • Documentation and traceability: Maintain comprehensive records of production conditions to identify sources of variation when it occurs

Recent research demonstrates that simplified methods combining yolk de-lipidation with protein salting out can produce consistent anti-SpCas9 IgY antibodies with high sensitivity and specificity, providing reliable reagents for CRISPR/Cas-based studies .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.