PET100 Antibody, Biotin conjugated is a polyclonal antibody raised in rabbits against a recombinant fragment (amino acids 26–73) of the human PET100 protein. The biotin molecule is chemically linked to the antibody, allowing its detection via streptavidin-enzyme conjugates (e.g., streptavidin-HRP) .
| Property | Detail |
|---|---|
| Target Antigen | PET100 cytochrome c oxidase chaperone (UniProt: P0DJ07) |
| Gene ID | 100131801 |
| Associated Disease | Mitochondrial complex IV deficiency |
| Host Species | Rabbit |
| Reactivity | Human |
This antibody is optimized for enzyme-linked immunosorbent assay (ELISA) . Its biotin tag enables signal amplification when paired with streptavidin-HRP or streptavidin-AP, making it suitable for:
Quantifying PET100 in mitochondrial extracts.
Detecting low-abundance PET100 in clinical samples.
| Application | Dilution Range |
|---|---|
| ELISA | Manufacturer-specified (typically 1:1,000–1:10,000) |
PET100 is a mitochondrial protein that functions as a cytochrome c oxidase chaperone with a canonical length of 73 amino acid residues and a mass of 9.1 kDa. It plays a critical role in mitochondrial complex IV maturation and assembly, making it a significant target for research into mitochondrial function and disorders. The PET100 gene has been directly associated with Mitochondrial complex IV deficiency, underscoring its clinical relevance in human disease research. PET100 is primarily localized in the mitochondria and belongs to the PET100 protein family, with orthologs reported in multiple species including mouse, rat, bovine, frog, zebrafish, and chimpanzee .
The biotin-conjugated anti-PET100 antibody (AA 26-73) is a polyclonal antibody raised in rabbits against a specific amino acid sequence (26-73) of the human PET100 protein. The immunogen used is recombinant human Protein PET100 homolog, mitochondrial protein (26-73AA). This antibody demonstrates specific reactivity against human PET100 and is typically supplied in liquid format with buffer composition of 0.01 M PBS, pH 7.4, 0.03% Proclin-300 and 50% Glycerol . The biotin conjugation provides significant advantages for detection and signal amplification in various experimental applications, particularly when low expression levels necessitate enhanced sensitivity .
Biotin conjugation significantly extends the utility of antibodies through its high-affinity interaction with avidin and streptavidin. This interaction is among the strongest non-covalent biological bonds known (Kd ≈ 10^-15 M), providing exceptional stability in experimental conditions. When PET100 antibodies are conjugated with multiple biotin molecules, they can be used with streptavidin- or avidin-based systems to achieve substantial signal amplification for detecting lowly expressed proteins. This amplification system is particularly valuable in techniques requiring high sensitivity such as western blotting, ELISA, immunohistochemistry (IHC), immunocytochemistry (ICC), immunofluorescence (IF), and flow cytometry . The biotin-streptavidin system enables multi-layered approaches that can introduce more detection molecules at the target site, providing multi-fold amplification compared to single-layer detection methods .
| Application | Recommended Protocol Considerations | Signal Detection Method |
|---|---|---|
| ELISA | Optimal working dilution determined experimentally; typically 1-10 μg/ml | Streptavidin-HRP or streptavidin-conjugated enzymes |
| Immunofluorescence | May require signal amplification for low-abundance targets | Fluorochrome-conjugated streptavidin |
| Immunohistochemistry | Consider using 2% normal serum to block cross-reacting endogenous immunoglobulins | DAB visualization after streptavidin-HRP |
| Western Blotting | Requires optimization for specific sample types | Chemiluminescence after streptavidin-HRP |
| Flow Cytometry | Requires titration to determine optimal concentration | Fluorochrome-conjugated streptavidin |
Researchers should validate these applications empirically as performance may vary depending on experimental conditions and sample type .
Protocol optimization for biotin-conjugated PET100 antibody involves several critical considerations:
Concentration Optimization: The recommended working concentration range is 1-10 μg/ml, but this should be empirically determined for each application and sample type .
Blocking Endogenous Biotin: When working with biotin-rich tissues (liver, kidney, brain), consider blocking endogenous biotin using an avidin/biotin blocking kit before antibody application.
Signal Amplification: For enhanced sensitivity, implement a multi-layered approach:
First layer: Target labeling with the biotin-conjugated primary antibody
Second layer: Application of fluorochrome-conjugated streptavidin
Third layer (optional): Application of biotinylated anti-streptavidin
Fourth layer (optional): Second application of fluorochrome-conjugated streptavidin
This sequential application can be repeated to achieve substantial signal amplification for detection of low-abundance targets .
Reducing Background: In tissues containing cross-reacting endogenous immunoglobulins, dilute the biotinylated antibody in buffers containing 2% normal serum from the same species as the tissue .
Storage Conditions: Maintain antibody activity by storing at 2-8°C for short-term use or frozen for long-term storage. Avoid repeated freeze/thaw cycles to prevent degradation of the antibody-biotin conjugate .
Investigating mitochondrial proteins like PET100 presents unique methodological challenges:
Sample Preparation: Mitochondrial isolation protocols significantly impact antibody accessibility and binding. Consider using differential centrifugation followed by detergent-based extraction to maintain protein conformation.
Fixation Impact: When performing immunofluorescence or immunohistochemistry, note that different fixatives can affect mitochondrial membrane permeability and epitope availability. Paraformaldehyde (4%) is generally suitable, but methanol fixation may provide better access to certain mitochondrial epitopes.
Co-localization Studies: For comprehensive analysis of PET100's role in complex IV assembly, consider dual labeling with antibodies against other complex IV components. This approach requires careful selection of compatible secondary detection systems to avoid cross-reactivity.
Functional Assays: When correlating PET100 expression with mitochondrial function, incorporate cytochrome c oxidase activity assays alongside immunodetection for more meaningful interpretation of results.
Controls: Always include appropriate controls including:
Mitochondrial marker controls (e.g., TOMM20, COX4)
Negative controls using isotype-matched irrelevant antibodies
Positive controls using tissues known to express high levels of PET100
These methodological considerations help ensure meaningful and reproducible results when studying this important mitochondrial chaperone protein .
Designing antibodies with customized specificity profiles represents an advanced frontier in research applications. For PET100 antibodies, researchers can employ computational approaches to enhance specificity or cross-reactivity based on experimental needs:
Computational Model Development: Using phage display experimental data, researchers can build computational models that identify different binding modes associated with particular ligands. These models can disentangle binding modes even for chemically similar ligands .
Specificity Profile Design: For highly specific anti-PET100 antibodies, computational approaches can be used to:
Validation Protocol:
Initial validation through competitive binding assays
Secondary validation through surface plasmon resonance to determine binding kinetics
Functional validation in relevant biological systems
Cross-specificity Design: When cross-reactivity is desired (e.g., for detecting PET100 across multiple species), computational approaches can jointly minimize the energy functions associated with desired epitopes from different species variants .
The practical implementation of these approaches requires specialized expertise in computational biology and protein engineering, but offers significant advantages for advanced research applications requiring precise control of antibody specificity.
Interpreting signals from biotin-conjugated PET100 antibodies in complex IV deficiency models presents several advanced challenges:
Distinguishing Primary from Secondary Effects: In complex IV deficiency, reduced PET100 signals could represent:
Primary defect in PET100 expression
Secondary degradation due to failed complex assembly
Altered subcellular localization affecting antibody accessibility
Signal Quantification Considerations:
Normalization approaches significantly impact interpretation
Total mitochondrial content varies in disease models
Recommended normalization against multiple mitochondrial markers
Signal Heterogeneity Analysis: In tissues with mixed cell populations, consider:
Single-cell analysis approaches
Tissue microdissection when feasible
Co-labeling with cell-type specific markers
Correlation with Functional Metrics: Integrate immunodetection data with:
Complex IV enzymatic activity measurements
Oxygen consumption rate analyses
Supercomplex assembly status
Technical Artifacts:
Biotin-streptavidin amplification can magnify non-specific binding
Endogenous biotin in mitochondria may contribute to background
Signal saturation can mask biologically significant differences
Addressing these challenges requires integrated approaches combining biochemical, genetic, and imaging techniques for comprehensive understanding of PET100's role in complex IV assembly and function .
Integration of biotin-conjugated PET100 antibodies into multi-parameter workflows enables sophisticated analysis of mitochondrial biology:
Mass Cytometry Integration: Biotin-conjugated PET100 antibodies can be used in CyTOF (Cytometry by Time-of-Flight) approaches when combined with metal-conjugated streptavidin, enabling simultaneous analysis of multiple mitochondrial parameters at single-cell resolution.
Spatial Transcriptomics Correlation:
PET100 protein detection can be combined with RNA-FISH
Enables correlation between protein localization and transcript expression
Allows for identification of post-transcriptional regulation mechanisms
Proximity Ligation Assays:
When paired with antibodies against interaction partners
Provides direct evidence of molecular interactions in situ
Quantifiable readout of protein-protein interactions
Live-Cell Imaging Applications:
Through secondary labeling with quantum dot-conjugated streptavidin
Enables tracking of dynamic complex IV assembly processes
Requires careful optimization to minimize interference with biological processes
Workflow Integration Example:
| Step | Technique | Purpose |
|---|---|---|
| 1 | Biotin-PET100 antibody labeling | Target identification |
| 2 | Streptavidin-fluorophore detection | Signal visualization |
| 3 | OXPHOS activity assays | Functional correlation |
| 4 | Mitochondrial isolation | Biochemical verification |
| 5 | BN-PAGE analysis | Complex assembly assessment |
| 6 | Computational integration | Multi-parameter data synthesis |
This integrated approach provides comprehensive insights into PET100's role in mitochondrial biology beyond what single-parameter analyses can reveal.
Researchers frequently encounter several challenges when working with biotin-conjugated antibodies:
High Background Signal:
Weak or No Signal:
Non-specific Binding:
Cause: Cross-reactivity or insufficient blocking
Solution: Increase blocking agent concentration; pre-adsorb antibody with similar proteins; validate specificity with knockout/knockdown controls
Signal Variability:
Quenching of Fluorescent Signals:
Cause: Photobleaching during extended imaging
Solution: Use anti-fade mounting media; minimize exposure times; consider using quantum dots with streptavidin for more stable fluorescence
Validation of antibody specificity is critical for meaningful interpretation of experimental results:
Genetic Validation:
CRISPR/Cas9-mediated knockout of PET100
siRNA-mediated knockdown with titrated reduction
Heterologous expression in null backgrounds
Each approach should demonstrate corresponding changes in signal intensity
Peptide Competition:
Pre-incubation of antibody with immunizing peptide (AA 26-73 of PET100)
Should result in dose-dependent reduction in specific signal
Non-related peptides should not affect signal intensity
Cross-platform Validation:
Correlation between different detection methods (IF, WB, IP)
Consistent results across multiple tissues/cell types with known expression profiles
Agreement with mRNA expression patterns when applicable
Epitope Mapping:
Verification that antibody recognizes the expected region (AA 26-73)
Testing against truncated recombinant proteins
Confirmation of specificity for human PET100 versus other species
Subcellular Localization:
Co-localization with established mitochondrial markers
Absence of signal in other subcellular compartments
Agreement with known biochemical fractionation patterns
These validation approaches provide multiple lines of evidence for antibody specificity, increasing confidence in experimental findings .
Several factors affect the stability and performance of biotin-conjugated antibodies over time:
Storage Conditions:
Buffer Composition:
Conjugate Stability Factors:
Degree of biotinylation affects both stability and functionality
Over-biotinylation can reduce antibody specificity and increase aggregation
Biotin-antibody linkage chemistry influences susceptibility to hydrolysis
Light exposure accelerates oxidative damage to both protein and biotin
Performance Monitoring:
Implement regular quality control testing of stored antibodies
Use consistent positive controls to track performance over time
Consider including reference standards in each experiment
Document lot-to-lot variations when replacing depleted stocks
Proper attention to these factors ensures consistent experimental results and maximizes the useful lifetime of biotin-conjugated antibody reagents.
Biotin-conjugated PET100 antibodies present significant opportunities for integration with emerging single-cell technologies:
Single-Cell Proteomics Applications:
Integration with microfluidic antibody capture techniques
Combination with bar-coding strategies for high-throughput analysis
Development of single-cell western blotting applications using biotin-streptavidin detection
Spatial Biology Platforms:
Implementation in multiplexed imaging technologies through cyclic labeling
Integration with spatial transcriptomics to correlate protein localization with gene expression
Development of super-resolution compatible detection systems for nanoscale localization
In Situ Proximity Labeling:
Biotin-antibody directed TurboID or APEX2 systems
Enable selective proteomic mapping of PET100 interactomes
Potential for temporal analysis of complex IV assembly dynamics
Single-Organelle Analysis:
Isolation of individual mitochondria using antibody-based capture
Analysis of heterogeneity in complex IV assembly at the single-organelle level
Correlation with functional parameters in individual mitochondria
These emerging applications represent frontier areas where biotin-conjugated antibodies offer particular advantages due to their amplification capabilities and compatibility with diverse detection systems .
Several methodological advances show promise for enhanced detection of challenging mitochondrial targets:
Proximity-Based Signal Amplification:
Implementation of proximity ligation assays (PLA)
Integration with rolling circle amplification
Development of branched DNA detection systems
These approaches can achieve 100-1000× signal enhancement compared to conventional detection
Computational Antibody Engineering:
Nanobody and Alternative Binding Scaffold Development:
Engineering of smaller binding proteins with improved tissue penetration
Development of aptamer-based detection systems
Creation of synthetic binding proteins with tailored properties
These approaches address limitations of conventional antibodies for certain applications
Expansion Microscopy Integration:
Physical expansion of specimens to improve optical resolution
Enhanced detection of closely positioned epitopes in mitochondrial complexes
Better discrimination between assembled and unassembled complexes
This approach enables super-resolution imaging with conventional microscopes
These methodological advances represent emerging opportunities to address current limitations in the detection and analysis of mitochondrial proteins like PET100.
Successful implementation of biotin-conjugated PET100 antibodies in research requires thoughtful consideration of multiple factors:
Experimental Purpose Alignment:
Select antibodies validated for your specific application (ELISA, IHC, etc.)
Consider epitope accessibility in your experimental system
Evaluate whether signal amplification benefits outweigh potential background issues
Technical Implementation:
Biological Relevance:
Ensure antibody reactivity matches your species of interest (human-reactive based on search results)
Consider epitope conservation when studying PET100 across species
Validate findings with complementary approaches (genetic manipulation, functional assays)
Practical Considerations:
By carefully addressing these considerations, researchers can effectively implement biotin-conjugated PET100 antibodies to advance understanding of mitochondrial biology and complex IV assembly processes.
Research utilizing PET100 antibodies has significantly advanced understanding of mitochondrial disorders:
Mechanistic Insights:
Diagnostic Applications:
Enabled immunohistochemical assessment of PET100 in patient tissues
Facilitated biochemical quantification of protein levels in patient samples
Supported development of functional assays for complex IV assembly
These applications enhance diagnostic precision for mitochondrial disorders
Therapeutic Development:
Provided tools to screen potential therapeutic compounds
Enabled monitoring of treatment effects on complex IV assembly
Supported validation of gene therapy approaches
These applications accelerate translational research for mitochondrial disorders
Model System Validation:
Verified conservation of PET100 function across species
Confirmed phenotypic relevance of model systems
Enabled cross-species comparison of complex IV assembly
These validations strengthen the relevance of preclinical research models