AIM21 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
AIM21 antibody; C1Q_00326Altered inheritance of mitochondria protein 21 antibody
Target Names
AIM21
Uniprot No.

Target Background

Function
AIM21 Antibody plays a role in mitochondrial migration along actin filaments.
Protein Families
AIM21 family
Subcellular Location
Cytoplasm, cytoskeleton, actin patch.

Q&A

What types of AIM21 antibodies are currently available for research?

Currently, researchers have access to polyclonal antibodies raised against recombinant Saccharomyces cerevisiae AIM21 protein. One such example is the rabbit-derived AIM21 antibody (product code CSB-PA461186XA01SVP), which has specificity for yeast AIM21 . These antibodies are designed for research applications in Saccharomyces cerevisiae models and are not intended for diagnostic or therapeutic use. The antibodies typically target specific epitopes within the AIM21 protein, enabling detection in various experimental contexts.

How does AIM21 interact with other actin regulatory proteins?

AIM21 functions within a complex network of actin-regulating proteins. High-throughput interaction data and focused biochemical studies have demonstrated that AIM21 interacts with Tda2, a small protein that works in concert with AIM21 to regulate actin assembly . Additionally, AIM21 shows interactions with capping proteins Cap1 and Cap2, suggesting a coordinated mechanism for regulating filament growth. The protein is localized to cortical patches through interactions with Bbc1 and has enhanced localization through Abp1 via its proline-rich domains (PP3-4) . This interaction network positions AIM21 as a key coordinator in balancing actin distribution between patches and cables.

What are the primary research applications for AIM21 antibodies?

AIM21 antibodies serve several key research applications in yeast biology:

  • Protein Localization: Immunofluorescence microscopy to determine the subcellular distribution of AIM21 in wild-type and mutant yeast strains.

  • Protein Expression Analysis: Western blot detection of AIM21 expression levels under different genetic conditions or environmental stresses.

  • Protein-Protein Interaction Studies: Co-immunoprecipitation experiments to confirm and characterize interactions between AIM21 and other actin regulatory proteins.

  • Genetic Suppression Analysis: Investigating how AIM21 deletion affects phenotypes in other mutant backgrounds, such as tpm1Δ cells .

  • Actin Dynamics Research: Exploring how AIM21 contributes to actin patch formation, maintenance, and turnover.

These applications collectively enable researchers to dissect the functional roles of AIM21 in actin regulation and mitochondrial inheritance.

How can AIM21 antibodies be used to investigate actin patch dynamics?

AIM21 antibodies provide valuable tools for investigating actin patch dynamics through several methodological approaches:

  • Immunostaining with Quantitative Analysis: Using AIM21 antibodies in combination with actin markers allows researchers to quantify relative abundance and co-localization in patches. This approach can reveal differences between wild-type and mutant strains.

  • Live Cell Imaging Validation: While GFP-tagged AIM21 is often used for live imaging, antibodies can validate these findings in fixed cells and provide standards for quantification.

  • Temporal Analysis of Patch Formation: By fixing cells at different time points and immunostaining, researchers can use AIM21 antibodies to track the temporal recruitment of AIM21 relative to other patch components.

Research has shown that aim21Δ cells exhibit increased Abp1 signal in cortical patches and extended patch lifespans (from ~11.9s in wild-type to 17.3s in mutants), indicating that AIM21 antibodies can help quantify these phenotypic changes when studying patch dynamics .

What are the optimal fixation and permeabilization conditions for AIM21 immunostaining in yeast?

For effective AIM21 immunostaining in yeast cells, researchers should consider the following optimized protocol:

Fixation:

  • Fix yeast cells with 4% formaldehyde for 30-45 minutes at room temperature

  • Alternative: Use 70% ethanol fixation for 30 minutes at -20°C for better preservation of certain epitopes

Permeabilization:

  • Use 0.1% Triton X-100 in PBS for 5-10 minutes

  • For improved access to cortical structures, zymolyase treatment (1mg/ml for 10-15 minutes) prior to permeabilization can be beneficial

Blocking:

  • 1-3% BSA in PBS for 30-60 minutes at room temperature

  • Addition of 0.1% Tween-20 can reduce background

These conditions help maintain the structural integrity of actin patches while allowing antibody access to AIM21. The method should be adjusted based on the specific epitope recognized by the antibody and whether co-staining for actin or other patch components is being performed.

What control experiments should be included when using AIM21 antibodies?

When conducting experiments with AIM21 antibodies, the following controls are essential for proper interpretation:

Negative Controls:

  • aim21Δ strain: Essential to confirm antibody specificity

  • Secondary antibody only: To assess background fluorescence

  • Pre-immune serum: If using polyclonal antibodies, to establish baseline signal

Positive Controls:

  • GFP-tagged AIM21 strain: When available, can serve as co-localization control

  • Known AIM21 interaction partners: Co-staining with Bbc1 or Abp1 should show partial co-localization

Validation Controls:

  • Peptide competition assay: Pre-incubating the antibody with excess purified antigen should eliminate specific signal

  • Western blot correlation: Confirming that immunostaining intensity correlates with protein levels detected by Western blot

These controls help establish the specificity and reliability of AIM21 antibody-based experiments, particularly important when investigating subtle changes in localization or abundance.

How does AIM21 contribute to the regulation of free actin pools, and how can this be quantitatively assessed?

AIM21 plays a sophisticated role in regulating free actin pools available for assembly into different structures. Research indicates that AIM21, in conjunction with Tda2, reduces barbed end assembly at actin patches, thereby influencing the balance of actin between patches and cables . When AIM21 is deleted, actin patches exhibit increased Abp1 signal and extended lifespans, suggesting enhanced actin polymerization at these sites.

Quantitative Assessment Methods:

  • Latrunculin Sensitivity Assay:

    • The level of free actin can be indirectly assessed by testing sensitivity to latrunculin, which binds monomeric actin.

    • Experimental data shows aim21Δ cells have larger zones of growth inhibition than wild-type cells when exposed to latrunculin-A (0.2 mM), indicating reduced free actin pools .

    • This assay can be quantified by measuring the diameter of growth inhibition zones.

  • Fluorescence Recovery After Photobleaching (FRAP):

    • FRAP of actin structures can measure the rate of actin turnover and indirectly assess free actin availability.

    • Slower recovery in aim21Δ cells would suggest less free actin available for incorporation.

  • G-actin/F-actin Ratio Determination:

    • Biochemical fractionation followed by Western blotting can directly measure the ratio of monomeric to filamentous actin.

    • This approach can quantitatively demonstrate how AIM21 deletion shifts this balance.

These methods collectively provide a comprehensive assessment of how AIM21 regulates actin dynamics and free actin availability in the cell.

What mechanisms explain the paradoxical restoration of actin cables in tpm1Δ cells by AIM21 deletion?

The restoration of actin cables in tpm1Δ cells by AIM21 deletion represents a fascinating example of genetic suppression that reveals important insights into actin regulation. Research has demonstrated that while tpm1Δ cells have almost no visible actin cables and aim21Δ cells have reduced cables, the double mutant aim21Δ tpm1Δ surprisingly restores some cable structures . This paradoxical phenotype can be explained through several mechanistic models:

  • Free Actin Pool Redistribution Model:

    • In aim21Δ cells, enhanced actin assembly at patches reduces the free actin pool

    • When combined with tpm1Δ, the relative equilibrium shifts, making more actin available for cable formation despite the absence of Tpm1

    • This model is supported by latrunculin sensitivity assays showing reduced free actin in aim21Δ cells

  • Alternative Stabilization Pathway Activation:

    • AIM21 deletion may trigger compensatory mechanisms that stabilize actin cables

    • These mechanisms become particularly important in the absence of Tpm1

    • Potential candidates include other actin-binding proteins that assume cable-stabilizing functions

  • Altered Cap1/Cap2 Function:

    • The documented interaction between AIM21/Tda2 and Cap1/Cap2 suggests that AIM21 deletion alters capping protein function

    • This altered function may preferentially benefit cable formation in the tpm1Δ background

This phenomenon highlights the complex interplay between actin regulatory systems and demonstrates how genetic analysis can reveal compensatory mechanisms in actin cytoskeleton regulation.

Why might AIM21 antibody staining show inconsistent localization patterns, and how can this be addressed?

Inconsistent AIM21 antibody staining patterns can arise from several technical and biological factors:

Common Causes and Solutions:

  • Epitope Accessibility Issues

    • Problem: AIM21 localization depends on interactions with Bbc1 and Abp1; these interactions may mask antibody epitopes

    • Solution: Try alternative fixation methods; formaldehyde may preserve protein complexes that occlude epitopes, while methanol fixation might disrupt these interactions

  • Cell Cycle Variation

    • Problem: AIM21 patch localization can vary throughout the cell cycle

    • Solution: Synchronize yeast cultures before fixation or co-stain with cell cycle markers to categorize cells

  • Strain Background Effects

    • Problem: Research shows that AIM21 localization is altered in bbc1Δ, abp1Δ, and bbc1Δ abp1Δ strains

    • Solution: Always include wild-type controls from the same genetic background as experimental strains

  • Antibody Batch Variation

    • Problem: Different lots of polyclonal antibodies may recognize different epitopes

    • Solution: Validate each new antibody lot against previously characterized samples; consider creating a standardized positive control

  • Domain-Specific Recognition

    • Problem: AIM21 has distinct functional domains (proline-rich domains and C-terminal domain) with different localization determinants

    • Solution: Determine which region your antibody recognizes and interpret results accordingly; full-length AIM21-GFP shows some localization even in bbc1Δ abp1Δ cells through its C-terminal domain

Implementing these solutions can significantly improve consistency in AIM21 immunolocalization experiments and enhance result interpretation.

What are the critical considerations when designing co-immunoprecipitation experiments with AIM21 antibodies?

Successfully designing co-immunoprecipitation (co-IP) experiments with AIM21 antibodies requires attention to several critical factors:

Buffer Composition:

  • Use buffers that preserve native protein interactions (typically 150mM NaCl, 50mM Tris pH 7.5, 1mM EDTA)

  • Include mild detergents (0.1-0.5% NP-40 or Triton X-100) to solubilize membranes without disrupting protein-protein interactions

  • Add protease inhibitors to prevent degradation during lysis and immunoprecipitation

Cross-linking Considerations:

  • For transient or weak interactions, consider mild cross-linking with formaldehyde (0.1-0.3%) before lysis

  • This approach may be particularly valuable for capturing AIM21's interactions with Tda2 and capping proteins

Antibody Orientation:

  • Determine whether to immunoprecipitate AIM21 and detect interacting partners, or vice versa

  • For known interactions (AIM21-Tda2, AIM21-Cap1/Cap2), reciprocal co-IPs provide stronger evidence

Controls:

  • Include aim21Δ strains as negative controls

  • Use IgG from the same species as isotype controls

  • For tagged proteins, include untagged strains as controls

Elution Strategy:

  • Gentle elution with excess epitope peptide may preserve co-precipitated complexes better than boiling in SDS

  • Consider native elution for downstream functional assays

These considerations are critical because AIM21 functions within a network of protein interactions that may be disrupted by inappropriate experimental conditions.

How can researchers quantitatively analyze AIM21's effect on actin patch dynamics?

Quantitative analysis of AIM21's effect on actin patch dynamics requires rigorous methodological approaches and appropriate analytical frameworks:

Recommended Quantitative Parameters:

  • Patch Intensity Measurements:

    • Use fluorescently tagged patch markers (e.g., Abp1-mNeonGreen)

    • Measured data shows significantly more Abp1 signal in aim21Δ cells compared to wild-type

    • Quantify using integrated density measurements from calibrated microscopy images

  • Patch Lifespan Analysis:

    • Track individual patches from appearance to disappearance

    • Research demonstrates patch lifespan increases from ~11.9s in wild-type to 17.3s in aim21Δ cells

    • Use time-lapse imaging with measurements of at least 50-100 patches per condition

  • Patch Formation Rate:

    • Calculate the number of new patches forming per unit time

    • Compare across genotypes to determine if AIM21 affects initiation vs. maintenance

  • Spatial Distribution Analysis:

    • Measure the clustering tendency of patches using nearest neighbor analysis

    • Determine if AIM21 affects the spatial organization of the actin cytoskeleton

Statistical Approaches:

  • Use paired statistical tests when comparing the same cells before and after treatment

  • For comparisons between genotypes, employ ANOVA with appropriate post-hoc tests

  • Present data using cumulative frequency distributions to reveal population shifts in patch behaviors

These quantitative approaches provide robust metrics for analyzing how AIM21 influences actin dynamics, enabling more precise interpretation of experimental results.

What experimental approaches can resolve contradictory findings about AIM21 function in different yeast strains or experimental conditions?

When faced with contradictory findings regarding AIM21 function across different experimental systems, researchers should employ systematic approaches to resolve these discrepancies:

Reconciliation Strategies:

  • Standardized Strain Construction:

    • Generate a panel of isogenic strains differing only in the genetic modifications being studied

    • Ensure all strains are derived from the same parental background

    • Research shows strain background can significantly affect AIM21-related phenotypes

  • Comprehensive Phenotypic Analysis:

    • Analyze multiple aspects of actin dynamics rather than focusing on a single metric

    • Evaluate both patch and cable phenotypes, as AIM21 affects the balance between these structures

    • Quantify latrunculin sensitivity, patch dynamics, and cable abundance in parallel

  • Conditional Expression Systems:

    • Implement controllable AIM21 expression to directly observe dose-dependent effects

    • Use temperature-sensitive alleles or promoter systems to modulate activity

    • This approach can resolve threshold effects that may explain phenotypic disparities

  • Epistasis Analysis with Known Interactors:

    • Systematically combine AIM21 mutations with mutations in Bbc1, Abp1, Cap1/Cap2, and Tda2

    • This approach has successfully explained the paradoxical restoration of cables in aim21Δ tpm1Δ double mutants

  • Environmental Variable Control:

    • Test multiple growth conditions: temperature, carbon source, and cell density

    • Document exact experimental conditions to facilitate cross-laboratory comparison

When applied systematically, these approaches can resolve apparent contradictions and provide a more nuanced understanding of AIM21's context-dependent functions in actin regulation.

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