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 .
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 .
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 .
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) .
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 .
| Parameter | ACT7 | Other Actin Isoforms (e.g., ACT2, ACT8) |
|---|---|---|
| Expression Induction | Rapidly induced by auxin | Constitutively expressed in mature tissues |
| Role in Root Development | Essential for meristem cell division | Minimal impact on root growth |
| Hormone Response | Critical for callus formation | No significant role in hormone-induced processes |
ACT7 antibody has advanced understanding of:
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 .
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 .
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 .
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 .
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 .
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 .
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 .
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 .
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 .
A systematic approach to comparing ACTL7A antibodies should include:
| Parameter | Methodology | Analysis Approach |
|---|---|---|
| Specificity | Western blot panel of related proteins | Densitometry with cross-reactivity quantification |
| Sensitivity | Serial dilutions of recombinant ACTL7A | Limit of detection calculation |
| Application suitability | Parallel testing in WB, ELISA, IHC | Performance ranking by application |
| Epitope accessibility | Native vs. denatured protein detection | Comparison of signal ratios |
| Reproducibility | Replicate testing across different lots | Statistical 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 .
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 .
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 .
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 .
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 .
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 .
| Antibody Target Region | Host | Clonality | Conjugate | Applications | Recommended Dilution | Specificity Profile |
|---|---|---|---|---|---|---|
| ACTL7A (AA 41-67, N-Term) | Rabbit | Polyclonal | Unconjugated | WB | 1:1000 | Human |
| ACTL7A (AA 1-435, Full-length) | Rabbit | Polyclonal | Unconjugated | WB, ELISA, IHC | Variable by application | Human |
| ACTL7A (AA 1-435, Full-length) | Rabbit | Polyclonal | Biotin | WB, ELISA, IHC, IHC(p) | Application-dependent | Human |
| ACTL7A (AA 1-435, Full-length) | Rabbit | Polyclonal | HRP | WB, ELISA, IHC, IHC(p) | Application-dependent | Human |
| ACTL7A (AA 1-435, Full-length) | Rabbit | Polyclonal | FITC | WB, ELISA, IHC, IHC(p) | Application-dependent | Human |
| ACTL7A (AA 231-280, Mid-region) | Rabbit | Polyclonal | Unconjugated | WB | Not specified | Human, Mouse |
| ACTL7A (AA 226-435, C-Term) | Rabbit | Polyclonal | Unconjugated | WB | Not specified | Human |