ABCA7 antibodies are immunodetection tools targeting the ABCA7 protein, a member of the ATP-binding cassette transporter family. ABCA7 regulates lipid homeostasis, phagocytosis, and immune responses, with implications in Alzheimer’s disease (AD) and cellular metabolism .
ABCA7 deficiency increases amyloid-β (Aβ) production by altering APP endocytosis and β-secretase activity .
Haplodeficiency disrupts microglial immune responses, impairing CD14 expression and exacerbating Aβ accumulation in AD mouse models .
Genetic variants in ABCA7 correlate with altered sphingolipid metabolism (e.g., hexosylceramides), influencing AD risk .
ABCA7 regulates CD1d expression in antigen-presenting cells, affecting NKT cell development .
Lipid transport: ABCA7 exports phospholipids, maintaining membrane cholesterol balance and influencing phagocytosis .
Western blotting: Use 4–20% gels for ABCA7 (~234 kDa predicted; observed 200–250 kDa due to glycosylation) .
IHC optimization: Antigen retrieval with TE buffer (pH 9.0) or citrate buffer (pH 6.0) improves detection .
Storage: Stable at -20°C for one year in PBS with 0.02% sodium azide and 50% glycerol .
ABCA7 antibodies are critical for studying lipid dysregulation in neurodegenerative diseases. Mechanistic insights into ABCA7’s role in Aβ clearance and immune modulation highlight its potential as a therapeutic target . Future work should explore tissue-specific isoforms and validate findings in human-derived models.
ABCI7, also known as ATP-binding cassette I7, ATNAP6, NAP6, or non-intrinsic ABC protein 6, is a member of the ABC transporter family in plants, particularly characterized in Arabidopsis thaliana. The protein is encoded by gene loci F5D14.28/F5D14_28 . Unlike mammalian ABCB7 (which exports iron-sulfur clusters from mitochondria to cytosol ), plant ABCI7 has distinct functions in plant cellular processes.
As an ABC transporter component, ABCI7 likely participates in energy-dependent transport of substrates across membranes, utilizing ATP hydrolysis. Research suggests its involvement in metal ion homeostasis and potential roles in stress response pathways. The protein's structure includes characteristic ATP-binding domains that enable its transport functions.
Methodological approach: To properly characterize ABCI7 function, researchers should employ multiple complementary techniques including gene expression analysis (qRT-PCR), protein localization studies (using fluorescent protein fusions), and phenotypic analysis of knockout/knockdown mutants.
The ABCI7 antibody from CUSABIO Technology LLC (catalog number CSB-PA878548XA01DOA) has been validated for several research applications:
Application | Validation Status | Notes |
---|---|---|
ELISA | Validated | Particularly effective for recombinant protein detection |
Western Blot (WB) | Validated | Positive for recombinant immunogen protein/peptide |
Immunoassay | Validated | General immunodetection methods |
EIA | Validated | Enzyme immunoassay applications |
When designing experiments, researchers should note that this antibody has been specifically validated with recombinant protein/peptide immunogen rather than endogenous protein in complex biological samples .
The ABCI7 antibody requires specific storage conditions to maintain its functionality and specificity. Upon receipt, the antibody should be stored at either -20°C or -80°C, with -80°C being preferable for long-term storage . Repeated freeze-thaw cycles should be strictly avoided as they can lead to antibody degradation and loss of binding efficiency.
The antibody is formulated with preservative (0.03% Proclin 300) and stabilizers (50% Glycerol, 0.01M PBS, pH 7.4) in liquid format . When working with this antibody:
Aliquot upon first thaw to minimize freeze-thaw cycles
Thaw aliquots at 4°C rather than room temperature
Keep on ice during experiment preparation
Return to -20°C or -80°C immediately after use
Avoid exposure to light for extended periods
For experimental use, it is recommended to dilute working solutions in fresh buffer containing 1% BSA as a blocking agent to minimize non-specific binding.
Proper experimental controls are essential for reliable interpretation of results when using ABCI7 antibody:
Positive control: The antibody kit includes 200μg recombinant immunogen protein/peptide that should be used as a positive control to verify antibody performance .
Negative control: The pre-immune serum (1ml) provided with the antibody should be utilized as a negative control to establish baseline and non-specific binding levels .
Isotype control: A non-specific rabbit IgG at the same concentration should be used to identify potential background resulting from the antibody isotype.
Genetic controls: When possible, include samples from ABCI7 knockout or knockdown plants to confirm antibody specificity.
Blocking peptide control: A competitive binding assay using excess immunizing peptide can verify signal specificity.
The inclusion of these controls enables proper validation of experimental results and supports reproducibility in scientific research.
Immunolocalization of ABCI7 in plant tissues presents unique challenges due to plant cell wall barriers and potential epitope masking. To optimize this application:
Fixation protocol optimization: Compare multiple fixation protocols including:
Paraformaldehyde (3-4%) fixation for 2-4 hours
Ethanol:acetic acid (3:1) for improved penetration
Methanol fixation for certain membrane proteins
Cell wall digestion: Implement a balanced enzymatic digestion using:
Cellulase (1-2%) and Macerozyme (0.2-0.5%) cocktail
Pectinase treatment (0.1-0.3%)
Monitor digestion carefully to prevent overdigestion and tissue damage
Antibody penetration enhancement:
Use extended incubation periods (12-24 hours at 4°C)
Include 0.1-0.3% Triton X-100 or 0.05-0.1% Tween-20 in blocking buffer
Consider vacuum infiltration of antibody solutions
Signal amplification:
Implement tyramide signal amplification (TSA) for low-abundance proteins
Use highly cross-adsorbed secondary antibodies to minimize background
Optimize antibody concentration through systematic dilution series (1:100 to 1:2000)
Validation through parallel approaches such as ABCI7-fluorescent protein fusions can help confirm localization patterns observed with antibody-based detection.
Co-immunoprecipitation with ABCI7 antibody can identify protein interaction partners, providing insight into functional networks. Key methodological considerations include:
Extraction buffer optimization:
Test multiple buffer compositions (HEPES, Tris, phosphate-based)
Adjust salt concentration (100-500mM) to balance specificity and yield
Include appropriate detergents (0.5-1% NP-40, 0.1-0.5% Triton X-100)
Add protease inhibitor cocktail and phosphatase inhibitors if studying phosphorylation states
Crosslinking considerations:
For transient interactions, implement mild crosslinking (0.1-0.5% formaldehyde)
Use membrane-permeable crosslinkers like DSP for organelle-localized interactions
Include crosslink reversal controls
Antibody coupling strategies:
Direct coupling to protein A/G beads may improve yield
Test both pre-clearing sample with beads and pre-binding antibody to beads
Consider orientation-specific coupling to avoid blocking antigen recognition sites
Validation approaches:
Perform reverse Co-IP with antibodies against suspected interaction partners
Include IgG controls and ABCI7-knockout/knockdown samples
Confirm interactions using orthogonal methods (Y2H, BiFC, FRET)
Co-IP Condition | Advantages | Limitations |
---|---|---|
Native conditions | Preserves physiological interactions | May miss weak/transient interactions |
Crosslinked | Captures transient interactions | May introduce artifacts |
Stringent washing | Reduces background | May lose weak interactions |
Mild washing | Preserves more interactions | Higher background |
Epitope accessibility is a critical factor affecting ABCI7 antibody performance across different subcellular fractions. Since the antibody was generated against a recombinant protein , its performance may vary depending on protein conformation and environmental context.
Epitope mapping considerations:
The antibody was generated against the full ABCI7 recombinant protein
Predict potentially hidden epitopes using protein structure prediction tools
Consider different extraction methods that may expose different epitopes
Subcellular fraction-specific protocols:
For membrane fractions: Include 0.5-1% SDS or 8M urea to denature proteins
For nuclear fractions: Use sonication and nuclease treatment
For chloroplast/mitochondrial fractions: Implement osmotic shock methods
Denaturation state optimization:
For Western blot: Compare reducing vs. non-reducing conditions
Test different heating protocols (65°C vs. 95°C; 5 min vs. 10 min)
Evaluate the effects of different detergents (SDS, Triton X-100, CHAPS)
Experimental validation approach:
Compare native vs. denatured protein detection efficiency
Generate subcellular markers as parallel controls
Verify localization using orthogonal methods (fluorescent protein fusions)
By systematically investigating these parameters, researchers can optimize detection of ABCI7 across different subcellular compartments and experimental conditions.
Quantitative analysis of ABCI7 expression under stress conditions requires robust methodological approaches:
Western blot quantification protocol:
Implement standardized loading controls (anti-actin, anti-tubulin)
Use infrared fluorescent secondary antibodies for wider linear range
Perform technical triplicates with biological replicates (n≥3)
Analyze using densitometry software with background subtraction
Present data as fold-change relative to control conditions
ELISA-based quantification:
Develop a standard curve using recombinant ABCI7 protein (purified)
Implement sandwich ELISA for increased sensitivity
Normalize protein loading across samples before analysis
Calculate absolute protein quantities based on standard curve
Stress response experimental design:
Time-course analysis (0, 1, 3, 6, 12, 24, 48 hours post-treatment)
Dose-response experiments with multiple stress intensities
Combine different stressors to identify interaction effects
Include recovery phases to assess protein turnover
Statistical analysis approach:
Apply appropriate statistical tests (ANOVA, t-test)
Implement multiple testing correction for time-course/dose-response
Calculate effect sizes and confidence intervals
Determine biological significance thresholds (typically >1.5-fold change)
Example data representation format:
Stress Condition | Time (h) | ABCI7 Expression (fold change) | p-value | Significant? |
---|---|---|---|---|
Drought (20% FC) | 6 | 2.3 ± 0.4 | 0.008 | Yes |
Drought (20% FC) | 24 | 4.1 ± 0.7 | 0.001 | Yes |
Salt (150mM) | 6 | 1.2 ± 0.3 | 0.241 | No |
Salt (150mM) | 24 | 3.5 ± 0.5 | 0.004 | Yes |
Cold (4°C) | 6 | 0.9 ± 0.2 | 0.652 | No |
Cold (4°C) | 24 | 1.7 ± 0.3 | 0.032 | Yes |
Investigating ABCI7's interactions within larger ABC transporter complexes requires sophisticated approaches:
Proximity-based protein interaction analysis:
Implement BioID or TurboID proximity labeling using ABCI7 as bait
Employ ABCI7 antibody for pulldown of biotinylated interaction partners
Use chemical crosslinking followed by immunoprecipitation with ABCI7 antibody
Validate with reciprocal pulldowns using antibodies against identified partners
Native complex isolation techniques:
Blue Native PAGE followed by Western blotting with ABCI7 antibody
Sucrose gradient fractionation to separate intact complexes
Size-exclusion chromatography coupled with immunodetection
Glycerol gradient ultracentrifugation for complex separation
Interaction domain mapping:
Generate domain-specific constructs for deletion analysis
Use peptide competition assays to identify binding interfaces
Implement hydrogen-deuterium exchange mass spectrometry (HDX-MS)
Conduct alanine scanning mutagenesis of potential interaction domains
Functional validation of interactions:
Measure transport activity in reconstituted liposomes
Assess ATP hydrolysis rates of purified complexes
Analyze phenotypic changes in plants with disrupted interaction sites
Monitor subcellular localization changes upon interaction disruption
These approaches can be integrated into a multifaceted experimental pipeline to characterize the composition, stoichiometry, and functional significance of ABCI7-containing complexes.
Non-specific binding is a common challenge when working with antibodies in complex plant extracts. To address this issue with ABCI7 antibody:
Blocking optimization:
Compare different blocking agents (5% BSA, 5% non-fat milk, commercial blockers)
Extend blocking time (2-16 hours at 4°C)
Test different blocking buffer compositions (TBS vs. PBS base)
Include 0.1-0.3% Tween-20 in wash and antibody incubation buffers
Antibody dilution optimization:
Perform systematic dilution series (1:500 to 1:5000)
Test extended primary antibody incubation at 4°C (overnight to 48 hours)
Reduce secondary antibody concentration if background persists
Implement thorough washing steps (5-6 washes of 10 minutes each)
Sample preparation refinement:
Include additional purification steps (ion exchange, size exclusion)
Pre-clear lysates with Protein A/G beads to remove sticky proteins
Treat samples with nucleases to reduce nucleic acid interference
Optimize protein extraction buffers for cleaner preparations
Technical validation approaches:
Run peptide competition controls alongside experimental samples
Include knockout/knockdown samples to identify specific bands
Use gradient gels for better separation of similar molecular weight proteins
Implement membrane stripping and reprobing protocols to confirm specificity
These systematic approaches will help researchers distinguish specific ABCI7 signal from non-specific background, enhancing experimental reliability and reproducibility.
Accurate quantification of ABCI7 protein levels requires careful methodological consideration:
Western blot quantification best practices:
Use chemiluminescent detection within linear range
Alternatively, employ fluorescent secondary antibodies for wider linear range
Include standard curve with purified recombinant protein
Normalize to multiple housekeeping proteins (actin, GAPDH, tubulin)
Process all experimental conditions on the same blot when possible
ELISA-based quantification approach:
Develop sandwich ELISA using capture and detection antibodies
Include standard curve with known quantities of recombinant ABCI7
Run all samples in technical triplicates
Use four-parameter logistic regression for standard curve fitting
Calculate concentration based on standard curve interpolation
Data normalization strategies:
Total protein normalization using Ponceau S or Coomassie staining
Housekeeping protein ratio analysis
Geometric mean of multiple reference proteins
Global normalization using total signal intensity
Statistical analysis framework:
Apply appropriate statistical tests based on experimental design
Calculate confidence intervals for all measurements
Report both raw and normalized values
Use power analysis to determine required sample sizes
Quantification Method | Sensitivity Range | Advantages | Limitations |
---|---|---|---|
Western blot | 10-100 ng | Visual band confirmation | Limited dynamic range |
ELISA | 0.1-10 ng | Higher throughput | No size confirmation |
Capillary Western | 5-50 ng | Automated, reproducible | Specialized equipment |
Mass spectrometry | 1-10 ng | Absolute quantification | Complex sample prep |
Genetic validation approaches:
Test antibody in ABCI7 knockout/knockdown lines (T-DNA insertion, CRISPR/Cas9)
Perform complementation studies with tagged ABCI7 constructs
Use RNAi lines with varying degrees of ABCI7 suppression
Compare antibody signal with mRNA expression patterns
Biochemical validation methods:
Perform peptide competition assays using immunizing peptide
Conduct immunoprecipitation followed by mass spectrometry
Compare multiple antibodies targeting different ABCI7 epitopes
Test cross-reactivity with recombinant related proteins (other ABC transporters)
Heterologous expression validation:
Express tagged ABCI7 in heterologous systems (E. coli, yeast)
Compare detection of native vs. heterologously expressed protein
Create fusion proteins with different tags for orthogonal detection
Test antibody performance across expression levels
Technical controls implementation:
Include pre-immune serum controls in all experiments
Perform secondary-only controls to assess non-specific binding
Use isotype controls at equivalent concentrations
Implement peptide blocking controls systematically
While ABCI7 is primarily characterized as a transport protein, investigating potential DNA interactions requires specialized ChIP adaptations:
ChIP protocol optimization for ABCI7:
Crosslinking optimization (1-3% formaldehyde for varying times)
Sonication parameters adjustment for plant chromatin (power, cycles)
Antibody concentration titration (2-10 μg per reaction)
Enrichment verification using known DNA-binding proteins as positive controls
Controls for ChIP specificity:
IgG negative control processed in parallel
Input chromatin control for normalization
ABCI7 knockout/knockdown negative control
Positive control using known DNA-binding transcription factors
Analysis approaches:
qPCR for specific target regions
ChIP-seq for genome-wide binding profile
De novo motif discovery in enriched regions
Integration with transcriptome data for functional correlation
Validation strategies:
Electrophoretic mobility shift assay (EMSA) with recombinant ABCI7
In vitro DNA-binding assays with purified protein
Reporter gene assays for functional validation
Protein-DNA crosslinking followed by mass spectrometry
These methodological considerations enable investigation of potential novel functions of ABCI7 beyond its characterized role in transport processes.
Super-resolution microscopy offers nanoscale visualization of protein distribution and requires specific antibody considerations:
Fixation and sample preparation optimization:
Test aldehyde-based fixatives versus organic solvent fixation
Optimize cell wall digestion for improved antibody penetration
Evaluate clearing methods for deep tissue imaging
Balance fixation strength with epitope preservation
Antibody labeling strategies:
Direct conjugation with small fluorophores (Alexa Fluor 647, Cy5)
Use of smaller detection probes (nanobodies, aptamers)
Two-step labeling with biotinylated primary and fluorophore-streptavidin
Evaluation of quantum dots for PALM/STORM applications
Validation controls:
Correlation with diffraction-limited conventional microscopy
Parallel imaging of fluorescent protein fusions
Quantification of labeling density and specificity
Background assessment in knockout/knockdown samples
Technical considerations for different super-resolution techniques:
Technique | Key Considerations for ABCI7 Antibody |
---|---|
STED | Photostability of fluorophores, sample mounting media |
STORM/PALM | Blinking behavior, buffer composition, labeling density |
SIM | Signal-to-noise ratio, sample thickness limitations |
Expansion Microscopy | Epitope retention during expansion, anchoring chemistry |
Implementing these considerations enables nanoscale visualization of ABCI7 distribution and potential co-localization with interaction partners.
Correlating ABCI7 protein levels with transport function requires integrated experimental approaches:
Parallel quantification strategies:
Quantitative Western blot for protein expression level
Transport assays in isolated membrane vesicles
ATP hydrolysis measurements as proxy for transport activity
Development of substrate accumulation assays in intact organelles
Genetic manipulation approaches:
Create expression gradient using inducible promoters
Generate point mutations affecting transport but not stability
Implement tissue-specific or developmentally regulated expression
Use CRISPR/Cas9 for precise genome editing
Correlation analysis framework:
Plot protein expression vs. transport activity
Calculate Pearson/Spearman correlation coefficients
Determine threshold expression for detectable activity
Model relationship between expression and function
Integrated experimental design:
Time-course analysis following induction or repression
Environmental stress response with parallel protein/activity measurements
In vitro reconstitution with defined protein amounts
Single-cell analysis correlating expression with functional readouts
This integrated approach provides mechanistic insight into the relationship between ABCI7 expression levels and its functional transport activity, revealing potential regulatory mechanisms.
Investigation of post-translational modifications (PTMs) requires specialized approaches:
Detection of common PTMs:
Phosphorylation: Phos-tag gels, phospho-specific antibodies
Ubiquitination: Immunoprecipitation under denaturing conditions
Glycosylation: Glycosidase treatment, lectin blotting
Acetylation: Acetylation-specific antibodies, deacetylase inhibitors
Mass spectrometry-based approaches:
Immunoprecipitation followed by LC-MS/MS
Enrichment of specific modifications (TiO₂ for phosphopeptides)
Targeted multiple reaction monitoring (MRM) for specific sites
Quantitative comparison across conditions
Functional correlation studies:
Site-directed mutagenesis of predicted modification sites
Treatment with modification-inducing conditions
Inhibitor studies targeting specific modification enzymes
Correlation of modification status with protein activity
Visualization of modification dynamics:
Development of PTM-specific probes
Time-course analysis following stimulus
Subcellular fractionation to track modified pools
Co-immunoprecipitation to identify modification-dependent interactions
PTM Type | Detection Method | Functional Validation |
---|---|---|
Phosphorylation | Phos-tag, MS/MS | Phosphomimetic mutations |
Ubiquitination | Denaturing IP, MS/MS | Lysine to arginine mutations |
Acetylation | Acetyl-lysine antibodies | Lysine to arginine mutations |
S-nitrosylation | Biotin switch assay | Cysteine mutations |
These approaches enable comprehensive characterization of ABCI7 post-translational modifications and their functional significance in plant physiology.
Comparative analysis of ABCI7 with other ABC transporters provides evolutionary and functional context:
Structural comparison approaches:
Domain architecture analysis (transmembrane domains vs. nucleotide-binding domains)
Homology modeling based on crystallized ABC transporters
Sequence conservation mapping to functional regions
Phylogenetic analysis of ABC transporter subfamilies
Functional comparison strategies:
Substrate specificity profiling across ABC transporters
ATP hydrolysis kinetics comparison
Transport mechanism evaluation (conformational changes)
Regulation pattern analysis across different conditions
Experimental comparison framework:
Parallel phenotypic analysis of knockout lines
Cross-complementation studies between transporters
Side-by-side biochemical characterization
Comparative protein interaction network analysis
ABCI7 belongs to a specialized subset of ATP-binding cassette proteins with distinct structural features compared to full-size ABC transporters. It lacks transmembrane domains typical of many transporters and likely functions as part of larger protein complexes.
While mammalian ABCB7 exports iron-sulfur clusters from mitochondria to cytosol , plant ABCI7 may have evolved different substrate specificities and cellular functions related to plant-specific metabolic and developmental processes.