ACT7 Antibody

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Description

ACT7 Antibody Definition and Development

ACT7 antibody refers to mouse monoclonal antibodies (e.g., clones like MAb2345a) generated against Arabidopsis thaliana Actin-7 (ACT7) . ACT7 is a vegetative actin isovariant encoded by the ACT7 gene, which is rapidly induced by auxin and essential for cell proliferation and tissue development .

Antibody PropertiesDetails
TargetArabidopsis thaliana Actin-7 (ACT7)
Host SpeciesMouse
ApplicationsWestern blotting (WB), immunofluorescence (IF), immunocytochemistry (ICC)
Key Functions StudiedAuxin response, root meristem development, cytoskeletal dynamics
ReactivitySpecific to ACT7 in plants; cross-reactivity with other actins not observed

Biological Role of ACT7

ACT7 is a cytoskeletal protein critical for maintaining actin filament integrity and mediating hormone responses:

  • Root Development: Loss of ACT7 disrupts actin structure, leading to fragmented filaments and reduced cell division in root meristems .

  • Auxin Transport: ACT7 facilitates intracellular trafficking of auxin efflux carriers (PIN1 and PIN2), influencing auxin distribution and root growth .

  • Hormone-Induced Callus Formation: ACT7 is required for auxin-mediated callus proliferation. act7-1 mutants show impaired callus formation, which is rescued by ACT7 gene complementation .

ACT7 in Cytoskeletal Organization

  • Mutants lacking ACT7 (act7) exhibit segmented actin cables and reduced root meristem size, whereas double mutants (act7act8) show enhanced defects .

  • ACT7 depletion disrupts vesicle trafficking of PIN proteins, altering auxin distribution and ethylene responsiveness .

Hormone Response and Gene Expression

  • The ACT7 promoter contains auxin-responsive elements, driving rapid induction during hormone treatments .

  • ACT7 protein levels increase 2–3 fold in hormone-induced callus cultures, unlike other actin isovariants (e.g., ACT2 or ACT8) .

Applications of ACT7 Antibody

  • Cellular Localization: Used in immunofluorescence to visualize ACT7-rich actin filaments in root meristems and hormone-treated tissues .

  • Functional Studies: Demonstrates ACT7's role in auxin-ethylene crosstalk and cytoskeletal reorganization .

  • Mutant Analysis: Validates ACT7 protein depletion in act7-1 mutants and rescue via genetic complementation .

Comparative Insights

ParameterACT7Other Actin Isoforms (e.g., ACT2, ACT8)
Expression InductionRapidly induced by auxinConstitutively expressed in mature tissues
Role in Root DevelopmentEssential for meristem cell divisionMinimal impact on root growth
Hormone ResponseCritical for callus formationNo significant role in hormone-induced processes

Research Implications

ACT7 antibody has advanced understanding of:

  • Cytoskeletal Specificity: ACT7’s unique role in forming dynamic actin filaments for auxin transport .

  • Agricultural Biotechnology: Potential for engineering crops with optimized root systems or stress responses via ACT7 modulation.

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
ACT7 antibody; At5g09810 antibody; MYH9.2Actin-7 antibody; Actin-2 antibody
Target Names
ACT7
Uniprot No.

Target Background

Function
Actins are highly conserved proteins that play crucial roles in various cellular processes, including motility. They are ubiquitously expressed in all eukaryotic cells. Actins are essential components of the cell cytoskeleton, actively participating in cytoplasmic streaming, cell shape determination, cell division, organelle movement, and extension growth. This particular actin is considered a vegetative actin, involved in regulating hormone-induced plant cell proliferation and callus formation. It is required for the trafficking and endocytic recycling of ABCG36/PEN3 between the trans-Golgi network and the plasma membrane in root epidermal and cap cells.
Database Links

KEGG: ath:AT5G09810

STRING: 3702.AT5G09810.1

UniGene: At.23346

Protein Families
Actin family
Subcellular Location
Cytoplasm, cytoskeleton.
Tissue Specificity
Constitutively expressed at high levels in young expanding vegetative tissues. Also strongly expressed in the hypocotyl and seed coat. Little or no expression is detected in mature pollen sacs, ovules, embryos or seeds.

Q&A

What is ACTL7A and why are antibodies against it significant in research?

ACTL7A (Actin-Like 7A) is a member of the actin protein family with specific structural and functional properties. Antibodies targeting ACTL7A are essential tools for investigating protein expression, localization, and function across various biological systems. These antibodies enable researchers to detect and study ACTL7A in different experimental contexts, contributing to our understanding of its biological roles .

Which epitopes of ACTL7A are commonly targeted by research antibodies?

Several key epitopes are targeted by commercially available antibodies, with the most common being the N-terminal region (amino acids 41-67). Other important epitope regions include mid-protein segments (AA 231-280) and C-terminal regions (AA 226-435), as well as antibodies recognizing the full-length protein (AA 1-435). This diversity of epitope targeting provides researchers with flexibility in experimental design based on protein domain accessibility and functional relevance .

What are the standard applications for ACTL7A antibodies in research settings?

ACTL7A antibodies are validated for multiple research applications including Western Blotting (WB), Enzyme-Linked Immunosorbent Assay (ELISA), and Immunohistochemistry (IHC). These applications enable protein detection, quantification, and localization studies. The antibodies are available in various conjugated forms (unconjugated, biotin-conjugated, HRP-conjugated, FITC-conjugated) to accommodate different detection systems and experimental designs .

How do computational models enhance our understanding of ACTL7A antibody binding specificity?

Advanced computational modeling can identify distinct binding modes between antibodies and their ACTL7A epitopes. These models, trained on phage display experimental data, can predict binding affinity and specificity by analyzing antibody-antigen interactions at the molecular level. Such computational approaches enable researchers to understand the structural basis of antibody specificity and predict how mutations might affect binding properties, facilitating more targeted antibody selection for specific research applications .

What strategies can address cross-reactivity challenges with ACTL7A antibodies?

Cross-reactivity with other actin family proteins represents a significant challenge when using ACTL7A antibodies. Computational biophysics-informed models can be employed to design antibodies with customized specificity profiles, either highly specific for ACTL7A alone or intentionally cross-reactive with defined related proteins. These models work by optimizing energy functions associated with binding modes, allowing researchers to minimize binding to unwanted targets while maximizing affinity for ACTL7A. Experimental validation through competitive binding assays with potential cross-reactive proteins is essential for confirming computational predictions .

How might post-translational modifications affect ACTL7A antibody recognition?

Post-translational modifications can significantly alter antibody epitope recognition. Similar to how modifications like citrullination create targets for autoantibodies in rheumatoid arthritis, modifications of ACTL7A might affect antibody binding. Researchers should consider whether their antibodies recognize modified forms (phosphorylated, acetylated, etc.) of ACTL7A, as these modifications can create neo-epitopes or mask existing ones. This consideration is particularly important when studying ACTL7A in different cellular contexts where post-translational regulation may vary .

What protocols optimize ACTL7A antibody performance in Western blotting?

For optimal Western blotting results with ACTL7A antibodies, the recommended protocol includes:

  • Sample preparation with complete protease inhibitors to prevent degradation

  • Protein separation on 10-12% SDS-PAGE gels

  • Transfer to PVDF membranes (preferred over nitrocellulose for this protein)

  • Blocking with 5% non-fat milk in TBST for 1 hour at room temperature

  • Primary antibody incubation at 1:1000 dilution overnight at 4°C

  • Multiple TBST washes (at least 3 × 10 minutes)

  • Species-appropriate HRP-conjugated secondary antibody at 1:5000 dilution

  • Detection using enhanced chemiluminescence systems

This protocol has been optimized for the N-terminal targeting antibody (AA 41-67) and may require modification for antibodies targeting other epitopes .

How can AI-assisted approaches improve ACTL7A antibody design?

AI-assisted approaches can revolutionize custom ACTL7A antibody development through:

  • Protein language models (like ESM) to predict how sequence variations affect binding properties

  • Protein folding models (such as AlphaFold-Multimer) to simulate antibody-antigen interactions

  • Computational biology software (like Rosetta) to optimize binding interfaces

These approaches enable rational design of antibodies with improved specificity, affinity, and reduced cross-reactivity. The AI-human collaborative "Virtual Lab" concept demonstrates how these technologies can be integrated to design novel antibodies with customized binding profiles, which could be applied to developing ACTL7A antibodies with superior performance characteristics .

What experimental validations are essential for confirming ACTL7A antibody specificity?

A comprehensive validation strategy should include:

  • Western blotting comparing ACTL7A-expressing vs. non-expressing tissues/cells

  • Immunoprecipitation followed by mass spectrometry to identify captured proteins

  • RNA interference or CRISPR knockout controls to confirm signal reduction/elimination

  • Peptide competition assays using the immunizing peptide

  • Parallel testing with multiple antibodies targeting different ACTL7A epitopes

  • Cross-validation with orthogonal techniques (e.g., mRNA expression analysis)

This multi-modal validation approach ensures that experimental observations genuinely reflect ACTL7A biology rather than antibody artifacts .

How should comparative studies of different ACTL7A antibodies be structured?

A systematic approach to comparing ACTL7A antibodies should include:

ParameterMethodologyAnalysis Approach
SpecificityWestern blot panel of related proteinsDensitometry with cross-reactivity quantification
SensitivitySerial dilutions of recombinant ACTL7ALimit of detection calculation
Application suitabilityParallel testing in WB, ELISA, IHCPerformance ranking by application
Epitope accessibilityNative vs. denatured protein detectionComparison of signal ratios
ReproducibilityReplicate testing across different lotsStatistical analysis of variation

This structured approach enables objective comparison of antibodies targeting different epitopes (N-terminal vs. C-terminal) or with different conjugates under identical experimental conditions, facilitating selection of optimal reagents for specific research questions .

What control systems are critical for rigorous ACTL7A antibody experiments?

A comprehensive control system for ACTL7A antibody experiments must include:

  • Positive controls: Cell lines or tissues with verified ACTL7A expression

  • Negative controls:

    • Tissues known to lack ACTL7A expression

    • CRISPR knockout or siRNA knockdown samples

    • Secondary antibody-only controls

  • Specificity controls:

    • Peptide competition/blocking experiments

    • Isotype-matched irrelevant antibodies

  • Technical controls:

    • Loading controls (β-actin, GAPDH) for Western blotting

    • Tissue processing controls for IHC/IF

This multi-layered control system ensures experimental rigor and enables confident interpretation of results by distinguishing specific signals from technical artifacts .

How can multiplexed approaches be implemented with ACTL7A antibodies?

Effective multiplexed detection strategies with ACTL7A antibodies require:

  • Selection of compatible antibody hosts and isotypes to avoid cross-reactivity

  • Strategic use of different conjugates (FITC, biotin, HRP) for orthogonal detection

  • Sequential immunostaining protocols with complete stripping between rounds

  • Spectral unmixing for fluorescent applications to resolve overlapping signals

  • Validation of antibody performance in multiplexed vs. single-target detection

These approaches enable simultaneous detection of ACTL7A alongside interacting proteins, subcellular markers, or other proteins of interest, providing contextual information about ACTL7A localization and function within complex biological systems .

What quantitative analysis approaches are appropriate for ACTL7A antibody experimental data?

Quantitative analysis of ACTL7A antibody data requires:

  • For Western blotting:

    • Densitometry with normalization to loading controls

    • Linear dynamic range validation

    • Statistical comparison across biological replicates

  • For ELISA:

    • Standard curve generation using recombinant ACTL7A

    • Four-parameter logistic regression analysis

    • Determination of EC50 values for comparative studies

  • For immunostaining:

    • Quantitative image analysis with defined threshold parameters

    • Cell-by-cell analysis for heterogeneous populations

    • Colocalization coefficients for multiplexed studies

These approaches transform qualitative observations into robust quantitative data suitable for statistical analysis and comparative studies .

How can researchers resolve contradictory findings when using different ACTL7A antibodies?

When different ACTL7A antibodies yield contradictory results, resolution strategies should include:

  • Comprehensive antibody validation using the methods described in section 3.3

  • Epitope mapping to understand which protein domains each antibody recognizes

  • Investigation of potential post-translational modifications affecting epitope accessibility

  • Correlation with mRNA expression data using RT-qPCR or RNA-seq

  • Mass spectrometry analysis to identify the exact protein species being detected

  • Consideration of protein conformation differences between applications

  • Functional studies (e.g., immunodepletion) to confirm biological relevance

This systematic troubleshooting approach can reconcile apparently contradictory findings by identifying the biological or technical factors responsible for the discrepancies .

What approaches distinguish between specific and non-specific binding of ACTL7A antibodies?

Distinguishing specific from non-specific binding requires:

  • Pre-adsorption studies with immunizing peptide to block specific binding

  • Competitive binding assays with excess unlabeled antibody

  • Correlation between signal intensity and known ACTL7A expression patterns

  • Comparison of staining/detection patterns across multiple antibodies targeting different ACTL7A epitopes

  • Signal reduction/elimination in genetic knockdown/knockout systems

  • Biochemical validation through techniques like immunoprecipitation followed by Western blotting or mass spectrometry

These complementary approaches provide strong evidence for binding specificity when consistent results are observed across multiple methods .

Data Table: ACTL7A Antibody Characteristics and Applications

Antibody Target RegionHostClonalityConjugateApplicationsRecommended DilutionSpecificity Profile
ACTL7A (AA 41-67, N-Term)RabbitPolyclonalUnconjugatedWB1:1000Human
ACTL7A (AA 1-435, Full-length)RabbitPolyclonalUnconjugatedWB, ELISA, IHCVariable by applicationHuman
ACTL7A (AA 1-435, Full-length)RabbitPolyclonalBiotinWB, ELISA, IHC, IHC(p)Application-dependentHuman
ACTL7A (AA 1-435, Full-length)RabbitPolyclonalHRPWB, ELISA, IHC, IHC(p)Application-dependentHuman
ACTL7A (AA 1-435, Full-length)RabbitPolyclonalFITCWB, ELISA, IHC, IHC(p)Application-dependentHuman
ACTL7A (AA 231-280, Mid-region)RabbitPolyclonalUnconjugatedWBNot specifiedHuman, Mouse
ACTL7A (AA 226-435, C-Term)RabbitPolyclonalUnconjugatedWBNot specifiedHuman

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