The ACAD8 antibody targets the ACAD8 protein (UniProt ID: Q9UKU7), which catalyzes the conversion of isobutyryl-CoA to methacrylyl-CoA in valine metabolism. It also participates in the ARC complex, facilitating transcriptional activation. The antibody is commonly used in research for Western blotting (WB), immunohistochemistry (IHC), and ELISA to study mitochondrial dysfunction and metabolic disorders .
ACAD8 mutations are linked to isobutyryl-CoA dehydrogenase deficiency (IBDD), a rare autosomal recessive disorder. Studies identify 14 mutation sites across six exons, including novel variants (e.g., c.911A > T, c.904C > T) . The antibody aids in diagnosing IBDD via protein expression analysis .
Recent studies reveal ACAD8's role in substrate metabolism, with inhibitors like 2-methylenecyclopropaneacetic acid (MCPA) reducing C3-carnitine levels in HEK-293 cells . This highlights its potential in therapeutic targeting for metabolic disorders .
ACAD8, also known as isobutyryl-CoA dehydrogenase (IBD), is a nuclear-encoded mitochondrial enzyme belonging to the acyl-CoA dehydrogenase family (EC 1.3.99). This enzyme plays a critical role in the metabolism of fatty acids and branched chain amino acids, specifically catalyzing the conversion of isobutyryl-CoA to methacrylyl-CoA in the valine catabolism pathway . ACAD8's importance in metabolism research stems from its central position in essential catabolic pathways and its association with metabolic disorders. Deficiencies in ACAD8 function have been linked to elevated C4-carnitine levels in newborns, a biomarker for potential metabolic disorders . The protein exists in three isoforms with molecular weights of approximately 45 kDa, 31 kDa, and 38 kDa, providing researchers with multiple targets for investigation across various experimental contexts . Understanding ACAD8 function contributes significantly to our knowledge of mitochondrial metabolism and inborn errors of metabolism.
ACAD8 antibodies have been validated for multiple research applications, allowing for comprehensive protein analysis across various experimental platforms. Based on available data, these antibodies demonstrate utility in the following applications:
These applications enable researchers to investigate ACAD8 expression patterns, subcellular localization, protein-protein interactions, and alterations in various experimental conditions or disease states . It is recommended that researchers titrate antibody concentrations within the suggested ranges to determine optimal conditions for their specific experimental system, as sensitivity can vary depending on sample type and preparation method .
Selection of an appropriate ACAD8 antibody should be based on several critical factors that impact experimental outcomes. Researchers should consider:
Species reactivity: Available ACAD8 antibodies demonstrate reactivity with human, mouse, and rat samples . Verify that your chosen antibody recognizes ACAD8 in your species of interest.
Epitope specificity: Different antibodies target distinct regions of the ACAD8 protein. For example:
Clonality: Both monoclonal and polyclonal options are available:
Application compatibility: Ensure the antibody is validated for your desired application (WB, IHC, ELISA, IP) .
Form and conjugation: Available in unconjugated form or conjugated with:
Validation data: Review validation data showing the expected molecular weight detection (45 kDa for the main isoform) and sample-specific reactivity.
For optimal results in Western blotting experiments with ACAD8 antibodies, researchers should follow these methodological guidelines:
Sample preparation:
Protein quantification and loading:
Standardize protein concentration using reliable methods (BCA, Bradford)
Load 20-50 μg total protein per lane, adjusting based on expression level
Include positive control samples where ACAD8 expression is established
Gel electrophoresis conditions:
Use 10-12% polyacrylamide gels for optimal resolution around 45 kDa
Include molecular weight markers covering the 30-50 kDa range to identify all isoforms
Transfer parameters:
Optimize transfer conditions for proteins in the 45 kDa range
Consider semi-dry or wet transfer methods based on your equipment
Antibody incubation:
Detection system:
Use enhanced chemiluminescence (ECL) substrates appropriate for your expected protein abundance
Optimize exposure times to prevent signal saturation
Controls:
Include negative controls (non-expressing tissues or knockdown samples)
Consider using recombinant ACAD8 protein as a positive control
Antibody validation is critical for ensuring experimental reproducibility and accuracy. For ACAD8 antibodies, researchers should implement a multi-faceted validation strategy:
Genetic modification approaches:
CRISPR/Cas9 knockout: Generate ACAD8 knockout cell lines to confirm antibody specificity
siRNA/shRNA knockdown: Perform transient knockdown to verify signal reduction correlates with reduced expression
Overexpression: Transfect cells with ACAD8 expression constructs to confirm increased signal
Immunological validation:
Peptide competition assays: Pre-incubate antibody with immunogen peptide to block specific binding
Multiple antibody validation: Compare results using antibodies targeting different ACAD8 epitopes
Isotype controls: Use matched isotype control antibodies to assess non-specific binding
Analytical validation:
Tissue expression validation:
Documentation:
Immunohistochemical detection of ACAD8 requires careful optimization of multiple parameters:
Tissue processing considerations:
Fixation: 4% paraformaldehyde or 10% neutral buffered formalin (10-24 hours at 4°C)
Processing: Standard dehydration and paraffin embedding or freezing for cryosectioning
Section thickness: 4-6 μm for optimal antibody penetration and signal resolution
Antigen retrieval methods:
Heat-induced epitope retrieval (HIER): Test multiple buffers
Citrate buffer (pH 6.0)
EDTA buffer (pH 8.0)
Tris-EDTA buffer (pH 9.0)
Enzymatic retrieval: Consider proteinase K or trypsin digestion if HIER is insufficient
Optimization: Adjust temperature, pressure, and duration based on tissue type
Blocking and antibody incubation:
Blocking: 5-10% normal serum (from secondary antibody species) with 0.1-0.3% Triton X-100
Primary antibody: Dilute according to validation data, typically overnight at 4°C
Secondary detection: HRP-polymer systems or fluorescently-labeled secondary antibodies
Counterstaining: Hematoxylin for brightfield or DAPI/Hoechst for fluorescence
Signal detection optimization:
Chromogenic detection: DAB development time optimization (typically 2-10 minutes)
Fluorescent detection: Select appropriate filters to minimize tissue autofluorescence
Amplification systems: Consider tyramide signal amplification for low abundance targets
Controls and validation:
Quantification considerations:
Standardized acquisition settings across experimental groups
Digital image analysis with appropriate background correction
Normalization to housekeeping proteins or cell counts
The presence of multiple ACAD8 isoforms (45 kDa, 31 kDa, and 38 kDa) presents both challenges and opportunities for experimental design:
Isoform-specific detection strategies:
Experimental considerations for isoform analysis:
Gel percentage: Use 10-15% gradient gels for optimal separation of all isoforms
Running conditions: Extend separation time for closely migrating isoforms
Molecular weight markers: Include precise markers in the 30-50 kDa range
Loading controls: Select controls that don't overlap with ACAD8 isoforms
Tissue and cell type considerations:
Document tissue-specific isoform expression patterns
Consider developmental regulation of isoform expression
Evaluate species-specific isoform differences when using cross-reactive antibodies
Functional studies:
Design isoform-specific knockdown/knockout strategies
Consider isoform-specific primer pairs for qPCR correlation
Investigate potential differential functions of each isoform
Pathological significance:
Analyze isoform ratio changes in disease states
Determine if isoform-specific alterations occur in metabolic disorders
Consider isoform-specific interactions with other proteins
When encountering signal problems with ACAD8 antibodies, researchers should implement a systematic troubleshooting approach:
Weak or absent specific signal:
High background or non-specific binding:
| Problem | Potential Solution |
|---|---|
| Insufficient blocking | Increase blocking time or concentration |
| Excessive antibody concentration | Dilute antibody further, within recommended range |
| Inadequate washing | Increase number of washes and washing time |
| Non-specific secondary antibody binding | Include additional blocking steps or use different blocking agent |
| Endogenous enzyme activity | Include quenching steps (e.g., H₂O₂ treatment for HRP) |
| Sample overloading | Reduce protein amount to prevent non-specific interactions |
Unexpected banding patterns:
Optimization strategies:
Multiplex immunofluorescence with ACAD8 antibodies allows simultaneous detection of multiple targets, enhancing experimental insights:
Antibody selection for multiplexing:
Spectral considerations:
Plan fluorophore combinations to minimize spectral overlap
For ACAD8-FITC conjugates, pair with red/far-red fluorophores for other targets
Include single-color controls to assess bleed-through
Mitochondrial co-localization strategies:
Pair ACAD8 with established mitochondrial markers:
TOMM20 (outer membrane)
COX IV (inner membrane)
MnSOD (matrix)
Use super-resolution microscopy for precise co-localization analysis
Sequential staining protocols:
For same-species antibodies, implement sequential detection with intermediate blocking
Consider tyramide signal amplification to allow antibody stripping between rounds
Use directly conjugated primary antibodies to eliminate secondary antibody cross-reactivity
Optimization for specific tissue types:
Adjust fixation protocols based on tissue preservation requirements
Implement tissue-specific autofluorescence reduction methods
Optimize antigen retrieval for each target protein
Quantitative analysis approaches:
Standardize image acquisition parameters across all experimental groups
Implement automated quantification algorithms for unbiased analysis
Consider co-localization coefficients for interaction studies
ACAD8 (isobutyryl-CoA dehydrogenase) deficiency represents an important metabolic disorder that can be investigated using ACAD8 antibodies:
Clinical sample considerations:
Genotype-phenotype correlation studies:
Select antibodies targeting epitopes preserved in common ACAD8 mutations
Consider how specific mutations might affect antibody binding sites
Develop methods to distinguish wild-type from mutant protein expression
Functional analysis approaches:
Model system selection:
Therapeutic monitoring applications:
Establish baseline expression levels in patient samples
Develop standardized protocols for longitudinal assessment
Consider how potential treatments might affect antibody epitope accessibility
Sample preparation significantly impacts ACAD8 detection across different experimental platforms:
Western blot sample preparation:
Lysis buffer considerations:
RIPA buffer: Good for general protein extraction
NP-40 buffer: Milder detergent for preserving protein-protein interactions
Specialized mitochondrial extraction buffers for enriched preparations
Critical additives:
Protease inhibitor cocktails (prevent degradation)
Phosphatase inhibitors (preserve phosphorylation states)
Reducing agents (maintain protein in reduced state)
Immunohistochemistry/immunofluorescence preparation:
Fixation optimization:
Crosslinking fixatives (paraformaldehyde, formalin): Preserve structure but may mask epitopes
Precipitating fixatives (methanol, acetone): Better epitope preservation but poorer morphology
Fixation duration: Typically 24-48 hours for tissues, 10-15 minutes for cells
Processing considerations:
Paraffin embedding: Superior morphology but requires deparaffinization
Frozen sections: Better epitope preservation but challenging morphology
Vibratome sections: No fixative penetration issues but technically demanding
Immunoprecipitation considerations:
Lysis conditions:
Non-denaturing conditions to preserve native protein structure
Mild detergents (0.5-1% NP-40 or Triton X-100)
Physiological salt concentrations to maintain interactions
Pre-clearing strategies:
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Use isotype control antibodies for negative controls
ELISA sample preparation:
Standardize protein extraction methods across all samples
Consider matrix effects when preparing tissue or cell lysates
Include appropriate dilution series to ensure measurements within linear range
Quantitative assessment of ACAD8 requires methodological rigor and appropriate controls:
Western blot quantification:
| Normalization Method | Advantages | Considerations |
|---|---|---|
| Housekeeping proteins | Widely accepted | Expression may vary across conditions |
| Total protein staining | Accounts for loading differences | Requires specialized stains (Ponceau S, REVERT) |
| Recombinant protein standards | Allows absolute quantification | Requires purified standards |
Immunohistochemistry quantification:
Digital image analysis parameters:
Define positive staining thresholds objectively
Measure staining intensity, area, and distribution
Normalize to tissue area or cell count
Controls for standardization:
Include reference samples in each batch
Use automated staining platforms when possible
Maintain consistent acquisition settings
ELISA-based quantification:
Standard curve generation:
Use purified recombinant ACAD8 protein
Include standards on each plate
Ensure measurements fall within linear range
Sample preparation standardization:
Normalize to total protein concentration
Process all samples simultaneously
Include quality control samples
Flow cytometry approaches:
Signal calibration:
Use calibration beads for standardization
Include unstained and single-stained controls
Compensate for spectral overlap in multiplex assays
Analysis parameters:
Gate on relevant cell populations
Report median fluorescence intensity
Use consistent analysis templates