The antibody is validated for use in:
Western Blotting (WB): Detects IF1 in mitochondrial lysates at 1:1,000–1:5,000 dilution.
Immunohistochemistry (IHC): Stains IF1 in formalin-fixed, paraffin-embedded human tumor sections.
Immunofluorescence (IF/ICC): Visualizes mitochondrial localization in live or fixed cells.
Immunoprecipitation (IP): Purifies IF1 complexes for downstream analysis.
IF1 inhibits ATP synthase activity under conditions of low mitochondrial membrane potential, preventing ATP depletion during ischemia . Recent studies reveal its broader regulatory role:
Normoxic ATP Synthesis Inhibition: IF1 tetramers inhibit ATP synthase even under normal oxygen levels, shifting metabolism toward aerobic glycolysis .
Mitochondrial Quality Control: IF1 modulates mitochondrial membrane potential (ΔΨm), linking bioenergetics to cellular stress responses .
Elevated IF1 expression in human carcinomas (e.g., breast, colon, lung) correlates with enhanced glycolysis and suppressed oxidative phosphorylation (OXPHOS) . Key findings:
Cancer Metabolism: IF1 overexpression promotes the Warburg effect, enabling cancer cells to thrive under hypoxic conditions .
Tumor Growth Paradox: High IF1 levels paradoxically inhibit tumor growth in certain contexts by inducing mitochondrial hyperpolarization, which may reduce metastatic potential .
ATPIF1 (ATP synthase inhibitory factor 1) is a small mitochondrial protein (~12 kDa) that plays a crucial role in regulating mitochondrial ATP synthase activity. It functions as an endogenous F(1)F(o)-ATPase inhibitor that limits ATP depletion when the mitochondrial membrane potential falls below a threshold.
ATPIF1 primarily:
Binds to the C-terminal region of a β subunit of the F1-ATPase, inhibiting enzyme activity particularly under low pH conditions
Prevents excessive ATP hydrolysis during metabolic stress
Maintains cellular energy homeostasis by preventing ATP consumption when F(1)F(o)-ATP synthase acts as an ATP hydrolase
Regulates heme synthesis in erythroid tissues by modulating mitochondrial pH and redox potential
Participates in vascular function through reversible binding to the F1F0-ATPase complex on endothelial cell surfaces
Several types of ATPIF1 antibodies are available for research:
By antibody class:
Mouse monoclonal antibodies (e.g., A-3 clone, 5E2D7 clone)
Rabbit polyclonal antibodies
Recombinant antibodies (e.g., 3E2 clone)
By conjugation status:
Unconjugated primary antibodies
Conjugated forms:
By species reactivity:
Based on manufacturer recommendations:
Storage conditions:
Store at -20°C (most common recommendation)
Stable for one year after shipment when properly stored
For certain formulations, aliquoting is unnecessary for -20°C storage
Buffer composition:
Typically provided in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3
Handling recommendations:
Avoid repeated freeze-thaw cycles
Allow antibody to equilibrate to room temperature before opening
Centrifuge briefly before use to collect contents at the bottom of the tube
Return to storage conditions promptly after use
ATPIF1 antibodies have been validated for multiple applications:
Based on manufacturer recommendations:
| Application | Recommended Dilution Range | Notes |
|---|---|---|
| Western Blot (WB) | 1:500-1:2400 | Sample-dependent optimization required |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of total protein | Higher amounts may be needed for low expression |
| Immunohistochemistry (IHC) | 1:50-1:500 | Antigen retrieval with TE buffer pH 9.0 recommended |
| Immunofluorescence (IF/ICC) | 1:50-1:500 | Cell type-specific optimization recommended |
It is strongly recommended to titrate antibodies in each experimental system to obtain optimal results, as performance can be sample-dependent .
ATPIF1 antibodies can be used to study ATPIF1-ATP synthase interactions through several approaches:
Co-immunoprecipitation:
Immunoprecipitate ATP synthase complex using anti-ATP synthase antibodies
Detect co-precipitated ATPIF1 by western blotting with anti-ATPIF1 antibodies
This approach has revealed ATPIF1 binding to ATP synthase under various metabolic states
Proximity Ligation Assay (PLA):
Use antibodies against ATPIF1 and ATP synthase subunits (e.g., β-F1-ATPase)
PLA signals indicate close proximity (<40 nm) between proteins
Quantify as spots/area, spots/nucleus, or percentage of spots/μm³ of mitochondria
Immunofluorescence co-localization:
Co-stain with antibodies against ATPIF1 and ATP synthase subunits
Calculate Pearson's correlation coefficient to quantify co-localization
Values close to 1 indicate strong co-localization (e.g., Pearson's r = 0.90 ± 0.01 for ATPIF1 with β-F1-ATPase)
ATPIF1 is overexpressed in many tumors and functions as a pro-oncogenic protein. Researchers can use ATPIF1 antibodies to:
Expression analysis:
Analyze ATPIF1 expression levels in different cancer types via IHC or WB
Compare expression between tumor and adjacent normal tissues
Correlate expression with clinical parameters and patient outcomes
Mechanism studies:
Investigate ATPIF1 interaction with ATP synthase OSCP subunit in cancer cells using IP or PLA
Study the effect of ATPIF1 on ATP synthase oligomerization and PTP (permeability transition pore) formation
Examine how ATPIF1-ATP synthase interaction affects apoptosis in cancer cells
T cell function in cancer:
Assess how ATPIF1 expression affects T cell exhaustion in tumor-infiltrating lymphocytes
Examine the relationship between ATPIF1 levels and CD8+ T cell function (proliferation, IFN-γ secretion)
Study ATPIF1's influence on metabolic reprogramming (glycolysis vs. OXPHOS) in T cells
Therapeutic potential:
Monitor changes in ATPIF1 expression during cancer treatment
Assess ATPIF1 as a biomarker for therapy response
Evaluate potential of ATPIF1 modulation for enhancing CAR-T cell efficacy
ATPIF1 is specifically upregulated in pathological cardiac hypertrophy but not in physiological hypertrophy. ATPIF1 antibodies can be used to:
Expression analysis:
Detect ATPIF1 upregulation in different models of cardiac hypertrophy:
Structural studies:
Investigate the formation of ATP synthase tetramers when bound to ATPIF1
Study ATPIF1 cross-linking with ATP synthase subunits using techniques like iqPIR (isobaric quantitative Protein Interaction Reporter)
Metabolic reprogramming:
Examine how ATPIF1 upregulation affects the metabolic shift toward increased glycolysis in hypertrophied hearts
Study ATPIF1's role in reducing oxidative phosphorylation under cardiac stress conditions
Recent research suggests ATPIF1 may interact with ATP synthase through multiple binding modes:
Classical inhibitory binding:
Study ATPIF1 binding to the catalytic F1 domain during ATP hydrolysis
Examine the pH-dependence of this interaction
Investigate how this binding mode prevents ATP consumption during metabolic stress
Alternative binding to OSCP:
Use antibodies to investigate ATPIF1 binding to the ATP synthase OSCP subunit under normal culture conditions
Study whether this interaction occurs without the requirement for ATP hydrolysis
Determine how this binding affects ATP synthase function during ATP synthesis
State-dependent interactions:
Compare ATPIF1-ATP synthase interactions across different metabolic states:
State 2 respiration (substrate without ADP)
State 3 respiration (substrate with ADP, active ATP synthesis)
ATP hydrolysis conditions
Detect these interactions using immunoprecipitation followed by western blotting
Thorough validation of ATPIF1 antibody specificity is crucial:
Genetic validation approaches:
Test antibody in ATPIF1 knockout cells created via CRISPR-Cas9
Verify absence of signal in knockout samples by western blot, IF, and IHC
Compare with wild-type samples showing expected signal pattern
RNA interference validation:
Test antibody in cells with ATPIF1 knockdown by siRNA or shRNA
Verify reduction in signal intensity correlating with knockdown efficiency
Recombinant protein controls:
Use purified recombinant ATPIF1 protein as a positive control
Verify antibody detection at the expected molecular weight (~12 kDa)
Perform peptide competition assays to confirm epitope specificity
Subcellular localization verification:
Confirm mitochondrial localization through co-staining with established mitochondrial markers
Calculate Pearson's correlation coefficient with mitochondrial markers (values close to 0.9 indicate strong colocalization)
Solution: Optimize protein extraction from mitochondria using specialized buffers
Load higher amounts of mitochondrial fractions rather than whole cell lysates
Use more sensitive detection methods (ECL Prime, SuperSignal West Femto)
Reduce washing stringency or duration
Solution: Use longer blocking times (≥1 hour) with 5% BSA or 10% normal serum
Include 0.1-0.3% Triton X-100 in antibody diluent to reduce non-specific binding
Use more dilute antibody concentrations
Consider using specialized mounting media with anti-fade properties
Solution: Crosslink antibodies to beads to prevent antibody co-elution
Use gentler lysis conditions to preserve protein-protein interactions
Include protease inhibitors freshly in all buffers
Consider using ATPIF1-GFP fusion constructs for initial optimization
Solution: Avoid Mitotracker staining as it may reduce PLA sensitivity
Use alternative mitochondrial markers that don't interfere with the PLA reaction
Optimize primary antibody concentrations specifically for PLA applications
When using multiple ATPIF1 antibodies:
Epitope considerations:
Map the epitope regions recognized by different antibodies
Consider that antibodies targeting different epitopes may yield different results
N-terminal vs. C-terminal targeting antibodies may detect different isoforms
Cross-validation approach:
Use at least two antibodies from different sources targeting different epitopes
Compare results across multiple experimental techniques (WB, IF, IHC)
Prioritize antibodies with published validation in similar applications
Isoform awareness:
Consider that ATPIF1 has up to 3 reported isoforms in humans
Determine which isoforms each antibody can detect
Account for isoform-specific expression patterns in different tissues
Rigorous controls:
Include the same positive and negative controls when comparing antibodies
Use the same experimental conditions and samples for direct comparisons
Document differences in sensitivity and specificity between antibodies
Single-cell techniques:
Integration with single-cell RNA sequencing (scRNA-seq) to correlate protein expression with transcriptional profiles
Single-cell western blotting to analyze ATPIF1 expression heterogeneity within populations
Single-cell imaging to examine subcellular localization differences
Advanced microscopy applications:
Super-resolution microscopy (STORM, PALM) to visualize ATPIF1 distribution within mitochondria
Live-cell imaging using genetically encoded tags to monitor ATPIF1 dynamics
FRET-based approaches to study ATPIF1-ATP synthase interactions in real-time
Clinical research applications:
Development of tissue microarray analysis for ATPIF1 expression in cancer cohorts
Integration of ATPIF1 expression data with patient outcomes in biomarker studies
Analysis of ATPIF1 in liquid biopsies (circulating tumor cells, exosomes)
ATPIF1 modulation shows therapeutic potential in several contexts:
Cancer immunotherapy:
Monitoring ATPIF1 levels in T cells during immunotherapy response
Evaluating ATPIF1 expression as a predictor of immunotherapy efficacy
Investigating ATPIF1 overexpression as a strategy to enhance CAR-T cell function
Cardiac protection strategies:
Assessing ATPIF1 modulation as an intervention in pathological cardiac hypertrophy
Monitoring ATPIF1 expression changes during heart failure progression
Investigating the effects of cardiac drugs on ATPIF1 expression and function
Metabolic disease applications:
Studying ATPIF1's role in metabolic reprogramming in obesity and diabetes
Investigating ATPIF1 modulation as a strategy to improve mitochondrial function
Examining tissue-specific ATPIF1 expression patterns in metabolic disorders
Selection criteria should include:
Research question alignment:
For protein-protein interactions: Choose antibodies validated for IP and PLA
For localization studies: Select antibodies optimized for IF/IHC with minimal background
For quantitative analysis: Use antibodies validated for flow cytometry or ELISA
Technical specifications:
Species reactivity matching experimental model (human, mouse, rat)
Monoclonal vs. polyclonal (monoclonals for specificity, polyclonals for sensitivity)
Clone-specific performance in published literature (e.g., applications, citations)
Validated applications:
Review validation data provided by manufacturers
Assess published literature using specific antibody clones
Experimental controls:
Ensure appropriate positive and negative controls are available
Consider generating ATPIF1 knockout or knockdown models for validation
Plan for orthogonal verification using multiple antibodies or techniques