Radiolabeled monoclonal antibodies targeting ATP synthase have been explored for dual imaging and therapeutic purposes. These antibodies exploit ATP synthase’s role in tumor angiogenesis and its ectopic expression on cancer cell surfaces.
| Parameter | Result |
|---|---|
| Tumor Uptake (MKN-45 model) | Peak uptake at 24–48 hours post-injection; optimal tumor-to-background contrast at 48 hours |
| Therapeutic Efficacy | 131I-ATPS mAb significantly suppressed MKN-45 tumor growth in mice (n=7) |
| Mechanism | Targets ectopic ATP synthase, acting as a receptor for antiangiogenic factors like angiostatin |
Radioimmunotherapy: Delivering radiation directly to tumors while sparing healthy tissues.
Imaging: PET/CT compatibility for monitoring treatment response.
Elevated extracellular ATP in the TME has been harnessed to design ATP-switch antibodies that bind antigens only in ATP-rich environments. This approach minimizes off-tumor toxicity .
Binding Specificity: ATP acts as a molecular switch, altering the antibody-antigen interface to enable selective binding in tumors.
Preclinical Validation: Demonstrated tumor-specific binding in transgenic mouse models with minimal normal tissue interaction.
ATPE is a scalable method for purifying antibodies from complex biological matrices, ensuring high purity for therapeutic and diagnostic use .
| System Point | Yield (%) | Purity (%) | Log Cell Reduction |
|---|---|---|---|
| SP1 | 95 ± 2.33 | 80.93 ± 0.02 | 2.08 ± 0.1 |
| SP3 | 63 ± 3.00 | 67.98 ± 1.8 | 3.45 ± 0.2 |
Scalability: Continuous processing reduces costs and batch variability.
High Purity: Achieves >99% purity for IgG from CHO cell supernatants.
While not directly linked to antibodies, the atpE gene in M. tuberculosis has been evaluated as a diagnostic target using PCR primers. This highlights its potential for future antibody-based detection methods .
| Metric | Result |
|---|---|
| Sensitivity | 61.54% against clinical samples (vs. reference primers) |
| Specificity | 100% for M. tuberculosis H37Rv strain |
| Detection Method | PCR with Thermo Fisher-designed primers ending with G/C nucleotides |
Diagnostic Utility: Could enable rapid detection of MTB in sputum, aiding in early intervention.
Drug Resistance Profiling: Combined with sequencing, atpE may help identify resistance mutations.
Target Specificity: ATP synthase antibodies require careful validation to avoid cross-reactivity with host ATP synthase.
Production Scalability: ATPE offers a cost-effective alternative to chromatography but needs optimization for diverse antibody types.
Clinical Translation: ATP-switch antibodies and atpE-targeted diagnostics remain in preclinical stages, necessitating further validation.
KEGG: ath:ArthCp028
STRING: 3702.ATCG00470.1
The atpE Antibody is a polyclonal antibody designed for research involving ATP synthase subunit c (atpE), a key component of F1F0 ATP synthase that plays a critical role in cellular energy metabolism. F-type ATPases consist of two structural domains, with the F1 domain containing the extramembraneous catalytic core. The atpE protein specifically corresponds to the subunit c component that helps produce ATP from ADP in the presence of a proton or sodium gradient. As a research tool, the antibody enables scientists to detect, quantify, and visualize this essential enzyme in various experimental contexts, providing insights into mitochondrial function and energy production pathways .
The atpE Antibody is validated for multiple research applications with distinct methodological approaches:
ELISA (Enzyme-Linked Immunosorbent Assay): The primary validated application, useful for quantitative detection of atpE protein in solution-based samples
Western blotting: For protein detection and semi-quantitative analysis of atpE in cell or tissue lysates
Immunofluorescence: For visualization of atpE localization within cellular compartments, particularly mitochondria
Immunohistochemistry: For detection of atpE in tissue sections to study distribution patterns
These techniques allow researchers to investigate ATP synthase expression levels, localization patterns, and potential alterations in various experimental conditions or disease models. The high specificity and sensitivity of the antibody make it particularly valuable for detecting subtle changes in energy metabolism pathways .
For optimal atpE Antibody binding, researchers should follow these methodological steps:
Sample preparation:
Cell cultures: Harvest cells at 70-80% confluence
Tissues: Flash-freeze and homogenize in appropriate buffer
Include protease inhibitors to prevent protein degradation
Buffer composition:
Use a buffer compatible with the preservative (0.03% Proclin 300)
Maintain pH at 7.4 to match storage conditions
Include 50% glycerol for sample stability during longer procedures
Blocking conditions:
Use 3-5% BSA or serum from a species different from the host (non-rabbit)
Block for 1-2 hours at room temperature to minimize background
Temperature considerations:
Perform primary antibody incubation at 4°C overnight for best results
Allow reagents to reach room temperature before use
This methodological approach maximizes specific binding while reducing background, critical for accurate detection and quantification of atpE protein .
Researchers working with atpE Antibody should be aware of specific species reactivity limitations. According to technical specifications, the commercially available atpE Antibody (PACO35034) is specifically reactive to strain OhILAs ATP synthase subunit c protein. The antibody was generated using a recombinant strain OhILAs ATP synthase subunit c protein spanning amino acids 1-88 as the immunogen. This specific reactivity profile means:
Primary reactivity: Confirmed for strain OhILAs samples
Cross-reactivity: May potentially recognize homologous sequences in related bacterial strains, but this requires empirical validation
Mammalian applications: Cross-reactivity with human, mouse, or other mammalian atpE homologs is not guaranteed and should be experimentally verified
Researchers should conduct preliminary validation studies when applying this antibody to species not explicitly listed in the reactivity profile, as sequence conservation in ATP synthase components varies across evolutionary distance .
Researchers should implement a multi-tiered validation approach to confirm atpE Antibody specificity:
Molecular weight verification:
Run SDS-PAGE with positive and negative control samples
Confirm binding to proteins of expected molecular weight (~8-10 kDa for atpE)
Assess presence of non-specific bands
Peptide competition assay:
Pre-incubate antibody with excess immunizing peptide (strain OhILAs ATP synthase subunit c, 1-88AA)
Compare results with and without peptide competition
Specific signals should be abolished or significantly reduced
Knockout/knockdown controls:
Use CRISPR-Cas9 or RNAi to generate atpE-deficient cells
Compare antibody reactivity between wild-type and modified cells
Specific signals should be absent or reduced in modified samples
Orthogonal detection methods:
Compare results with a second antibody targeting a different epitope
Correlate protein detection with mRNA expression data
Validate findings using mass spectrometry when possible
This comprehensive validation strategy ensures experimental observations genuinely reflect atpE biology rather than antibody artifacts .
For enhanced detection of low-abundance atpE in biological samples, researchers can employ these methodological refinements:
Signal amplification techniques:
Implement tyramide signal amplification (TSA) for immunohistochemistry applications
Use high-sensitivity chemiluminescent substrates for Western blotting
Consider polymer-based detection systems over conventional secondary antibodies
Sample enrichment strategies:
Perform subcellular fractionation to isolate mitochondria-enriched fractions
Use immunoprecipitation to concentrate target protein before analysis
Implement ultracentrifugation techniques to separate membrane-associated proteins
Optimized antibody parameters:
Extend primary antibody incubation time (up to 24-48 hours at 4°C)
Test concentration ranges above recommended dilutions
Evaluate signal-to-noise ratio at each concentration
Instrument optimization:
Use highly sensitive CCD cameras for fluorescence detection
Optimize gain and exposure settings for quantitative imaging
Consider cooled-CCD systems to reduce background noise
| Sensitivity Enhancement Technique | Approximate Improvement | Best Application |
|---|---|---|
| Tyramide Signal Amplification | 10-100x | IHC, IF |
| Mitochondrial Enrichment | 5-20x | Western Blot |
| Extended Antibody Incubation | 2-5x | All methods |
| Polymer Detection Systems | 3-10x | IHC |
These approaches maintain specificity while substantially improving detection limits for challenging samples .
atpE Antibody offers valuable research applications for investigating mitochondrial dysfunction through these methodological approaches:
Differential expression analysis:
Compare atpE protein levels between normal and diseased tissues/cells
Correlate expression changes with functional mitochondrial assays
Implement quantitative Western blotting with normalization to mitochondrial mass markers
Co-localization studies:
Perform dual immunofluorescence with markers of mitochondrial integrity
Assess potential redistribution of atpE during pathological states
Quantify co-localization coefficients using digital image analysis
Post-translational modification assessment:
Combine atpE immunoprecipitation with mass spectrometry
Investigate modifications (phosphorylation, acetylation) affecting ATP synthase function
Develop modification-specific detection systems
Pharmacological intervention studies:
Monitor atpE expression/localization in response to therapeutic compounds
Correlate molecular changes with functional recovery metrics
Develop high-throughput screening methods for compound effects on ATP synthase assembly
These approaches provide mechanistic insights into how ATP synthase alterations contribute to pathological conditions, potentially leading to novel therapeutic targets for mitochondrial disorders .
Implementing appropriate controls is essential for reliable atpE Antibody research. Researchers should incorporate the following controls based on experimental design:
Antibody specificity controls:
Isotype control: Use non-specific rabbit IgG at identical concentration
Secondary-only control: Omit primary antibody to assess non-specific secondary binding
Absorption control: Pre-incubate antibody with immunizing peptide
Positive control: Include sample known to express atpE (strain OhILAs)
Sample preparation controls:
Loading control: Validate equal protein loading using housekeeping proteins
Subcellular fraction purity: Confirm mitochondrial enrichment with markers like COX IV
Degradation assessment: Evaluate sample integrity with broad-spectrum protein stains
Methodological controls:
Technical replicates: Perform multiple measurements to assess reproducibility
Dilution series: Confirm signal linearity across sample concentrations
Inter-assay calibrators: Include standard samples across experiments for normalization
Data analysis controls:
Blinded quantification: Analyze images without knowledge of sample identity
Signal saturation test: Ensure signal falls within linear detection range
Background subtraction validation: Apply consistent background definition across all samples
This comprehensive control framework enables confident interpretation of experimental results and identification of potential methodological artifacts .
Optimizing extraction of atpE protein requires specialized approaches due to its membrane-associated nature and relatively small size. Researchers should implement this methodological workflow:
Lysis buffer composition optimization:
Include non-ionic detergents (0.5-1% Triton X-100 or NP-40)
Add mild ionic detergents (0.1-0.5% sodium deoxycholate)
Incorporate chaotropic agents (1-2M urea) for membrane disruption
Maintain physiological pH (7.2-7.6) to preserve protein structure
Physical disruption techniques:
For tissues: Utilize mechanical homogenization followed by sonication
For cells: Apply multiple freeze-thaw cycles with sonication
Consider nitrogen cavitation for gentle membrane disruption
Solubilization enhancement:
Heat samples to 60-70°C (not boiling) in SDS-containing buffer
Allow extended incubation times (30-60 minutes) for complete solubilization
Use increasing detergent gradients to identify optimal concentration
Protein preservation strategies:
Include comprehensive protease inhibitor cocktail
Perform all extraction steps at 4°C
Process samples immediately after collection
Avoid repeated freeze-thaw cycles
| Buffer Component | Concentration | Purpose |
|---|---|---|
| Tris-HCl pH 7.4 | 50 mM | pH buffering |
| NaCl | 150 mM | Ionic strength maintenance |
| Triton X-100 | 0.5-1% | Membrane solubilization |
| Sodium deoxycholate | 0.1-0.5% | Enhanced solubilization |
| EDTA | 1-2 mM | Metalloprotease inhibition |
| Glycerol | 10% | Protein stabilization |
| Protease inhibitor cocktail | 1X | Prevent degradation |
This optimized approach maximizes recovery of atpE protein while maintaining its antigenic properties for subsequent immunodetection .
Systematic optimization of antibody dilution is critical for balancing sensitivity and specificity in atpE detection. Researchers should follow this methodological approach:
Initial dilution range determination:
Start with manufacturer's recommended dilution (based on application)
Prepare a logarithmic dilution series spanning at least 3-fold above and below
For ELISA applications, include 2-fold dilution steps for finer optimization
Signal-to-noise evaluation:
Calculate signal-to-noise ratio for each dilution
Plot dilution versus signal-to-noise to identify optimal range
Determine minimum dilution that produces acceptable background
Application-specific considerations:
Western blotting: Optimize based on protein load (10-50 μg total protein)
Immunofluorescence: Consider tissue type and fixation method
ELISA: Adjust based on antigen concentration and detection system
Validation of optimized dilution:
Confirm reproducibility with independent samples
Verify linearity of signal across relevant concentration range
Assess inter-lot consistency if using multiple antibody lots
For the atpE Antibody (PACO35034), researchers should note that while general dilution recommendations exist, optimal dilutions must be determined empirically for each experimental system, as factors like sample preparation, detection method, and instrument sensitivity significantly impact performance .
Non-specific binding presents a significant challenge when working with atpE Antibody. Researchers can implement these methodological solutions:
Blocking optimization:
Test alternative blocking agents (5% BSA, 5% non-fat milk, commercial blockers)
Extend blocking time to 2-3 hours at room temperature
Include 0.1-0.3% Tween-20 in blocking solution to reduce hydrophobic interactions
Consider fish gelatin-based blockers for highly sensitive applications
Washing protocol enhancement:
Increase washing stringency with higher salt concentration (up to 500 mM NaCl)
Extend wash duration and increase wash steps (5-6 washes of 10 minutes each)
Add low concentrations of SDS (0.01-0.05%) to wash buffers for membrane applications
Implement temperature-controlled washing (4°C for reduced dissociation, 37°C for increased stringency)
Antibody incubation modification:
Pre-adsorb antibody with tissue/cell lysate from species of interest
Dilute antibody in buffer containing 1-5% of species-matched normal serum
Add non-ionic detergents (0.1-0.3% Triton X-100) to antibody diluent
Consider overnight incubation at 4°C rather than shorter room temperature incubation
Sample preparation refinement:
Implement additional purification steps for complex samples
Consider protein A/G pre-clearing to remove endogenous immunoglobulins
Use freshly prepared samples to minimize denaturation and aggregation
These interventions should be systematically tested and documented to establish an optimized protocol for specific experimental conditions .
Distinguishing genuine atpE signals from artifacts requires rigorous analytical approaches:
Multi-technique validation:
Confirm findings using at least two independent detection methods
Compare results between different antibody-based techniques (Western blot vs. IF vs. ELISA)
Correlate protein detection with mRNA expression data where possible
Quantitative analysis frameworks:
Implement digital image analysis with consistent thresholding parameters
Use ratiometric analysis comparing target to internal controls
Apply statistical approaches to distinguish signal from background variation
Consider machine learning algorithms for pattern recognition in complex images
Biological validation strategies:
Correlate atpE signals with functional measurements of ATP synthesis
Assess co-localization with other mitochondrial markers
Verify expected response patterns to known modulators of ATP synthase
Technical artifact elimination:
Implement blind duplicate analysis by independent researchers
Document consistent findings across multiple experimental replicates
Develop criteria for exclusion of technically compromised samples
Consider natural signal distribution patterns across tissue/cell types
Unexpected molecular weight bands in atpE Western blotting require systematic interpretation:
Biological source assessment:
Post-translational modifications: Phosphorylation, glycosylation, or ubiquitination may increase apparent molecular weight
Protein-protein interactions: Incomplete denaturation may preserve complexes
Alternative splicing: Verify against known splice variants in sequence databases
Proteolytic fragments: May indicate sample degradation or physiological processing
Technical artifact evaluation:
Non-specific binding: Test with blocking peptide competition
Cross-reactivity: Conduct bioinformatic analysis for sequence similarity with detected bands
Secondary antibody binding: Perform secondary-only control
Sample preparation issues: Evaluate different extraction and denaturation methods
Verification experiments:
Immunoprecipitation followed by mass spectrometry
Comparison with antibodies targeting different epitopes
siRNA/CRISPR knockdown to confirm specificity
Subcellular fractionation to localize unexpected bands
Quantitative band analysis:
Document relative intensity of expected versus unexpected bands
Assess reproducibility across different samples and experiments
Investigate biological conditions that alter band patterns
The expected molecular weight for atpE (ATP synthase subunit c) is approximately 8-10 kDa, though oligomeric forms may appear at higher molecular weights. Bands at significantly different weights warrant careful investigation using the approaches outlined above .
atpE Antibody can be incorporated into sophisticated multiparameter imaging through these methodological approaches:
Multiplexed immunofluorescence strategies:
Spectral unmixing: Utilize fluorophores with distinct emission spectra
Sequential detection: Employ multiple rounds of staining with intermediate stripping
Multispectral imaging: Capture spectral signatures across wavelength ranges
Combine with tyramide signal amplification for improved sensitivity
Correlative microscopy techniques:
Combine fluorescence with electron microscopy for ultrastructural context
Implement super-resolution methods (STORM, PALM, STED) for nanoscale localization
Register light and electron microscopy images for multi-scale analysis
Use fiducial markers for precise alignment of imaging modalities
Live-cell imaging applications:
Generate cell lines expressing fluorescently tagged atpE for dynamic studies
Correlate fixed-cell antibody staining with live-cell functional imaging
Implement reversible membrane permeabilization for antibody delivery to live cells
Use proximity ligation assays to detect protein-protein interactions in situ
Spatial analysis frameworks:
Quantify co-localization coefficients with mitochondrial markers
Analyze morphological parameters of atpE-positive structures
Implement neighborhood analysis for spatial relationships
Develop 3D reconstruction of atpE distribution patterns
These advanced imaging approaches provide unprecedented insights into atpE distribution, dynamics, and functional interactions within the complex cellular environment .
When selecting appropriate ATPE systems for antibody purification, researchers should consider these methodological factors:
Partition coefficient optimization:
PEG/phosphate systems offer excellent recovery for antibodies
Adjust molecular weight of PEG (4000-8000 Da) based on antibody characteristics
Modify phase-forming salt concentration to optimize partition
Consider pH effects on antibody charge and partitioning behavior
Process integration factors:
Continuous ATPE systems incorporating extraction, back-extraction, and washing improve purity
Microfluidic platforms allow rapid screening of multiple extraction conditions
Pump mixer-settler batteries enable scale-up from laboratory to production
Evaluate compatibility with upstream and downstream processing steps
Impurity removal efficiency:
Higher molecular weight impurities typically separate during extraction
Lower molecular weight impurities require subsequent back-extraction and washing
Evaluate host cell protein removal across different ATPE systems
Consider DNA and endotoxin removal requirements
Scale-up and economic considerations:
Assess reagent costs and recyclability of phase components
Evaluate process throughput and continuous processing potential
Consider equipment requirements and capital investment
Factor in validation and reproducibility across scales
| ATPE System | Typical Recovery | Purity Achievement | Best Application |
|---|---|---|---|
| PEG/Phosphate | 80-100% | >99% protein purity | General mAb purification |
| PEG/Citrate | 70-90% | Medium-high purity | Acid-sensitive antibodies |
| PEG/Sulfate | 75-95% | High purity | High volume processing |
| Microchannel ATPE | Variable | Medium purity | Rapid condition screening |
This systematic approach to ATPE system selection ensures optimal performance for specific antibody purification requirements .