The FAHD2A antibody is derived from either rabbit (polyclonal) or mouse (monoclonal) hosts. Key structural details include:
Immunogen: The antibody targets distinct regions of the FAHD2A protein. For example, the rabbit polyclonal antibody (ABIN6747792) binds to the amino acid sequence spanning positions 28–77, while the mouse monoclonal antibody (Clone ID: OTI7C9) recognizes the full-length recombinant protein produced in HEK293T cells .
Clonality: Polyclonal antibodies (e.g., ABIN6747792) offer broader epitope recognition, whereas monoclonal antibodies (e.g., OTI7C9) provide higher specificity .
The FAHD2A antibody is optimized for:
Western Blotting (WB): Detects FAHD2A in human and monkey tissues, with dilution recommendations ranging from 1:2000 (OTI7C9) to optimized concentrations for polyclonal variants .
Flow Cytometry (FC): Mouse monoclonal antibodies like OTI7C9 enable cell surface or intracellular detection at 1:100 dilution .
ELISA: Used for quantitative analysis, supported by rabbit polyclonal antibodies .
Reactivity is primarily confirmed for human samples, with cross-reactivity observed in monkey tissues for certain rabbit-derived antibodies .
The FAHD2A antibody has been utilized in studies exploring the protein’s role in cellular processes. Notably:
FAHD2A (also known as CGI-105) is a member of the fumarylacetoacetate hydrolase family that may possess hydrolase activity . It is also identified as an oxaloacetate tautomerase (EC 5.3.2.2) with mitochondrial localization . The protein is encoded by the FAHD2A gene (Gene ID: 51011) located on chromosome 2q11.2 . The protein has a predicted molecular weight of approximately 34.6 kDa, though it is sometimes observed at around 31 kDa in Western blot analysis .
FAHD2A is involved in metabolic processes and belongs to the FAH family of proteins that typically participate in amino acid catabolism pathways . While its precise biological function is still being investigated, its hydrolase and tautomerase activities suggest roles in cellular metabolism.
Several types of FAHD2A antibodies are available for research purposes:
Monoclonal antibodies: Produced from single B-cell clones, offering high specificity and consistency. Examples include:
Polyclonal antibodies: Produced from multiple B-cell lineages, recognizing multiple epitopes:
Specialty formats:
Selection of FAHD2A antibodies should be based on:
Target application: Different antibodies perform optimally in specific applications. For example, some are validated specifically for Western blot, while others work well in immunofluorescence .
Species reactivity: Most available FAHD2A antibodies react with human FAHD2A, with some showing cross-reactivity with other species:
Epitope region: Different antibodies target different regions of the FAHD2A protein:
Validation data: Review available validation data including Western blot images, immunofluorescence patterns, and cross-reactivity profiles before selection .
Optimizing Western blot protocols for FAHD2A detection requires attention to several parameters:
Sample preparation:
Use appropriate lysis buffers that preserve protein structure
Include protease inhibitors to prevent degradation
Heat samples at 95°C for 5 minutes in sample buffer containing SDS and reducing agents
Antibody selection and dilution:
Electrophoresis and transfer conditions:
Use 10-12% SDS-PAGE gels for optimal resolution around 31-35 kDa
Transfer to PVDF membranes at 100V for 60-90 minutes
Blocking and detection:
Block with 5% non-fat dry milk or BSA in TBST
Incubate with primary antibody overnight at 4°C
Use HRP-conjugated secondary antibodies with appropriate chemiluminescent detection systems
Expected results:
Comprehensive validation of FAHD2A antibodies should include:
Positive and negative controls:
Peptide competition assays:
Multiple detection methods:
Compare results across different techniques (WB, IF, IHC)
Use multiple antibodies targeting different epitopes of FAHD2A
Signal specificity assessment:
To study FAHD2A protein interactions, researchers can employ several complementary approaches:
Co-immunoprecipitation (Co-IP):
Proximity labeling methods:
BioID or APEX2 fusion proteins to identify proximal proteins
Express FAHD2A fused to promiscuous biotin ligase in cells
Purify biotinylated proteins and identify by mass spectrometry
Fluorescence techniques:
FRET or BRET assays with fluorescently-tagged FAHD2A and candidate partners
Use FAHD2A antibodies for Proximity Ligation Assay (PLA)
Perform co-localization studies using FAHD2A antibodies in combination with antibodies against potential interacting proteins
Crosslinking mass spectrometry:
Chemical crosslinking of protein complexes followed by MS analysis
Particularly useful for transient interactions
For optimal immunofluorescence results with FAHD2A antibodies, consider:
Fixation and permeabilization:
For mitochondrial proteins like FAHD2A, paraformaldehyde fixation (4%, 15 min) followed by Triton X-100 permeabilization (0.1%, 10 min) is typically effective
Methanol fixation can be used as an alternative that simultaneously fixes and permeabilizes
Antibody dilution and incubation:
Controls and counterstaining:
Include a mitochondrial marker (MitoTracker, TOM20 antibody) for co-localization
Use DAPI for nuclear counterstaining
Include secondary antibody-only controls
Image acquisition:
Use confocal microscopy for precise subcellular localization
Acquire z-stacks for complete spatial information
Use appropriate filter sets to minimize bleed-through
Expected pattern:
Gene editing tools provide powerful complementary approaches to antibody-based FAHD2A research:
CRISPR/Cas9 knockout systems:
CRISPR activation systems:
HDR and Double Nickase approaches:
Integration with antibody-based methods:
Use edited cells for rigorous antibody validation
Combine with immunoprecipitation to study protein complexes under physiological expression levels
Create cell lines with tagged FAHD2A for antibody-independent detection
Non-specific binding is a common challenge that can be addressed through:
Optimization of blocking conditions:
Test different blocking agents (BSA, non-fat milk, normal serum)
Increase blocking time or concentration
Include blocking peptides derived from non-specific binding regions
Antibody dilution adjustment:
Buffer optimization:
Add 0.1-0.3% Triton X-100 or 0.05% Tween-20 to reduce hydrophobic interactions
Adjust salt concentration (150-500 mM NaCl) to reduce ionic interactions
Consider adding 5-10% serum from the secondary antibody host species
Alternate antibody selection:
Try antibodies targeting different epitopes of FAHD2A
Compare monoclonal versus polyclonal antibodies
Consider using different host species to minimize background
For challenging tissue samples:
Antigen retrieval optimization:
Test both heat-induced epitope retrieval (citrate buffer pH 6.0, EDTA buffer pH 9.0)
Adjust retrieval duration (10-30 minutes)
Consider enzymatic retrieval for certain fixatives
Signal amplification strategies:
Use tyramide signal amplification (TSA) systems
Consider biotin-streptavidin amplification
Try polymer-based detection systems
Tissue-specific considerations:
Optimize fixation protocols for specific tissue types
Adjust section thickness (4-8 μm typically works well)
Block endogenous peroxidase activity in tissues with high peroxidase content
Controls and validation:
Include tissue samples with known FAHD2A expression levels
Use peptide competition or FAHD2A knockout controls
Compare results from multiple antibodies targeting different epitopes
FAHD2A antibodies enable several approaches in mitochondrial research:
Subcellular localization studies:
Immunofluorescence co-localization with mitochondrial markers
Subcellular fractionation followed by Western blot analysis
Immuno-electron microscopy for high-resolution localization
Mitochondrial stress responses:
Monitor FAHD2A expression changes under oxidative stress
Assess FAHD2A levels during mitochondrial biogenesis or mitophagy
Study FAHD2A in models of mitochondrial disease
Protein-protein interaction networks:
Immunoprecipitation of FAHD2A to identify mitochondrial binding partners
Study co-regulation with other mitochondrial proteins
Assess FAHD2A incorporation into mitochondrial complexes
Enzymatic activity correlation:
Correlate FAHD2A protein levels with oxaloacetate tautomerase activity
Determine relationship between FAHD2A abundance and metabolic flux
To investigate FAHD2A's role in metabolism:
Metabolic flux analysis:
Use FAHD2A antibodies to correlate protein levels with metabolic changes
Combine with stable isotope labeling to track carbon flow
Compare wild-type and FAHD2A-modulated cells
Multi-omics integration:
Correlate FAHD2A protein levels (using validated antibodies) with:
Transcriptomic changes (RNA-seq)
Metabolomic alterations (MS or NMR-based metabolomics)
Proteomic shifts in relevant pathways
Enzymatic assays:
Immunopurify FAHD2A using specific antibodies for activity assays
Correlate enzyme activity with protein levels in various conditions
Evaluate post-translational modifications affecting activity
Tissue-specific metabolism:
Emerging technologies that will impact FAHD2A antibody research include:
Super-resolution microscopy:
STORM, PALM, or STED microscopy for nanoscale localization
Multi-color super-resolution for co-localization studies
Live-cell super-resolution to track FAHD2A dynamics
Single-cell proteomics:
Antibody-based single-cell protein quantification
Mass cytometry (CyTOF) for multiplexed protein detection
Integration with single-cell transcriptomics
Advanced multiplexing:
Cyclic immunofluorescence for detecting multiple proteins in the same sample
Mass spectrometry imaging with antibody-based detection
Multiplexed ion beam imaging (MIBI) for spatial proteomics
In situ proximity labeling:
Antibody-enzyme conjugates for spatially-resolved interactome mapping
APEX2 or TurboID fusion antibodies for targeted proximity labeling
Integration with mass spectrometry for unbiased interaction discovery
Computational methods offer powerful tools to extend FAHD2A antibody applications:
Machine learning for image analysis:
Automated quantification of FAHD2A immunostaining patterns
Deep learning for subcellular localization classification
Computer vision approaches for co-localization analysis
Network analysis:
Integration of FAHD2A antibody-derived interaction data into protein networks
Pathway enrichment analysis of FAHD2A-associated proteins
Prediction of functional associations based on co-expression patterns
Structural biology integration:
Mapping antibody epitopes onto predicted protein structures
Molecular dynamics simulations to understand antibody-antigen interactions
Structure-based prediction of protein-protein interfaces
Multi-omics data integration:
Correlation of FAHD2A protein levels with transcriptomic and metabolomic data
System-level modeling of FAHD2A in metabolic networks
Causal inference methods to determine FAHD2A's position in regulatory hierarchies