The term "YEF1" does not correspond to any recognized human protein, gene symbol (HGNC), or UniProt entry. Closest matches include:
None of these proteins are abbreviated as "YEF1" in standard nomenclature.
Commercial antibody vendors and research databases (e.g., R&D Systems, Cell Signaling Technology, Sino Biological) were queried for "YEF1":
No antibodies targeting a "YEF1" epitope were identified.
Cardiac Development: Knockout of EBF1 in stem cells reduces expression of cardiac markers (e.g., NKX2-5, TNNT2) and impairs cardiomyocyte differentiation .
Cancer Research: Used to study transcriptional regulation in Burkitt’s lymphoma (e.g., LMP1/EBNA2 pathways) .
Cancer Therapy: ARF1 overexpression correlates with tumor invasion; antibodies aid in studying its GTPase activity .
Mitochondrial Dynamics: Detects ARF1’s role in mitophagy and organelle connectivity .
Verify Target Identity: Confirm whether "YEF1" refers to a novel protein or a typographical error (e.g., EBF1, ARF1).
Epitope Characterization: If studying a novel antigen, perform mass spectrometry or phage display to identify target sequences.
Antibody Validation: Use knockout cell lines (e.g., CRISPR) to confirm specificity, as demonstrated in eEF1A methylation studies .
KEGG: sce:YEL041W
STRING: 4932.YEL041W
YEF1 (NAD+ kinase) in Saccharomyces cerevisiae plays a crucial role in cellular redox processes and NAD metabolism. The protein catalyzes the phosphorylation of NAD+ to NADP+, which is essential for maintaining the NADPH pool required for cellular antioxidant defense systems and anabolic reactions. Studying YEF1 is particularly valuable for understanding fundamental redox biology in eukaryotic systems, as the NAD+/NADP+ balance is critical for cellular homeostasis and stress responses .
The YEF1 Antibody is available as a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) YEF1 protein. It is supplied in liquid form with a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. The antibody is purified using antigen affinity methods and is specifically validated for ELISA and Western Blot applications .
When working with YEF1 Antibody, researchers should implement the following controls:
| Control Type | Description | Purpose |
|---|---|---|
| Positive Control | Wild-type S. cerevisiae lysate with known YEF1 expression | Confirms antibody functionality |
| Negative Control | YEF1 knockout strain lysate (Δyef1) | Verifies antibody specificity |
| Loading Control | Detection of housekeeping proteins (e.g., PGK1, hexokinase) | Ensures equal protein loading across samples |
| Peptide Competition | Pre-incubation of antibody with immunizing peptide | Confirms signal specificity |
| Isotype Control | Non-specific rabbit IgG | Identifies non-specific binding |
These controls are essential for validating experimental results and ensuring the reliability of data obtained using YEF1 Antibody .
For maximal preservation of YEF1 Antibody activity, store the antibody at either -20°C or -80°C immediately upon receipt. According to manufacturer specifications, repeated freeze-thaw cycles should be strictly avoided as they significantly compromise antibody functionality . To minimize degradation during experimental use, consider the following protocol:
Aliquot the stock antibody into single-use volumes (typically 10-20 μL) upon initial thawing
Use sterile, low-protein binding microcentrifuge tubes for storage
When removing from freezer, thaw aliquots on ice rather than at room temperature
Once thawed, keep antibody at 4°C during the experimental day, avoiding repeated temperature fluctuations
Return unused aliquots to -80°C storage promptly
Maintain a log of freeze-thaw cycles for each aliquot to monitor potential degradation
This methodical approach ensures maximum retention of antibody specificity and sensitivity throughout the research timeline .
Optimizing Western Blot protocols for YEF1 Antibody requires systematic adjustment of multiple parameters. Based on standard immunoblotting principles, the following methodological approach is recommended:
| Protocol Step | Recommended Parameters | Optimization Considerations |
|---|---|---|
| Sample Preparation | 20-50 μg total protein from S. cerevisiae lysate | Extract using glass bead lysis in buffer containing protease inhibitors |
| Gel Percentage | 10-12% acrylamide | Adjust based on YEF1's ~40 kDa molecular weight |
| Transfer Conditions | 100V for 60 min or 30V overnight at 4°C | Wet transfer to PVDF membrane recommended for optimal protein retention |
| Blocking Solution | 5% non-fat milk or 3% BSA in TBST | Test both to determine which gives lower background |
| Primary Antibody Dilution | Begin testing at 1:1000 | Create dilution series (1:500, 1:1000, 1:2000) to determine optimal signal-to-noise ratio |
| Primary Antibody Incubation | Overnight at 4°C | Extended incubation improves signal for lower abundance proteins |
| Washing Steps | 3 × 10 minutes in TBST | Thorough washing critical for reducing background |
| Secondary Antibody | Anti-rabbit HRP at 1:5000 | Optimize concentration if background issues persist |
| Detection Method | Enhanced chemiluminescence | Begin with 1-minute exposure, adjust as needed |
Systematic optimization of these parameters should be documented to establish a reproducible protocol for consistent results .
Rigorous validation of YEF1 Antibody specificity is crucial for ensuring reliable experimental outcomes. Researchers should implement a multi-pronged approach:
Genetic Validation:
Compare signal between wild-type and YEF1 knockout (Δyef1) strains
Test antibody against strains with YEF1 point mutations in the epitope region
Examine antibody reactivity with YEF1 overexpression systems
Biochemical Validation:
Perform peptide competition assays using the immunizing peptide
Conduct immunoprecipitation followed by mass spectrometry identification
Compare reactivity patterns across different antibody lots
Cross-Reactivity Assessment:
Test against closely related NAD+ kinase family members
Evaluate signal in other yeast species with varying YEF1 homology
Examine potential cross-reactivity with human NAD+ kinases if conducting comparative studies
Orthogonal Approach Correlation:
Compare protein levels detected by antibody with mRNA expression
Correlate antibody signal with activity of tagged YEF1 constructs
Validate subcellular localization through fractionation studies
Methodical documentation of these validation steps significantly enhances the credibility and reproducibility of research findings .
YEF1 Antibody offers valuable insights into metabolic adaptation mechanisms in yeast. For advanced stress response studies, consider the following methodological approaches:
Oxidative Stress Response Analysis:
Track YEF1 protein levels during hydrogen peroxide or menadione exposure using Western blot
Correlate protein abundance with NADPH/NADP+ ratios measured by metabolomics
Compare wild-type responses to antioxidant-deficient strains (e.g., Δglr1, Δzwf1)
Nutritional Stress Investigations:
Monitor YEF1 expression during diauxic shift using time-course Western blot analysis
Analyze post-translational modifications under glucose limitation
Compare protein levels in fermentative versus respiratory growth conditions
Chronological Aging Studies:
Quantify YEF1 abundance changes throughout yeast chronological lifespan
Correlate with redox cofactor balance and mitochondrial function markers
Implement genetic interventions to modify NAD+ metabolism and assess YEF1 response
Multi-Stress Integration:
Develop a stress response matrix measuring YEF1 levels across multiple stress types
Identify common regulatory patterns through statistical modeling
Map YEF1 to broader stress response networks through correlation analysis
These advanced applications leverage YEF1 Antibody as a tool to uncover the intricate connections between NAD+ metabolism and cellular stress adaptation mechanisms.
Successful immunoprecipitation (IP) with YEF1 Antibody requires careful methodological planning. Consider these research-focused parameters:
Buffer Optimization Matrix:
| Buffer Component | Test Range | Optimization Goal |
|---|---|---|
| Salt (NaCl/KCl) | 100-300 mM | Minimize non-specific binding while preserving interactions |
| Detergent | 0.1-1.0% NP-40, Triton X-100, or digitonin | Extract YEF1 while maintaining protein-protein interactions |
| pH | 7.0-8.0 | Optimize antibody-antigen binding while preserving complex integrity |
| Divalent Cations | 0-5 mM MgCl₂/CaCl₂ | Stabilize protein interactions if dependent on metal ions |
| Reducing Agents | 0-5 mM DTT or β-mercaptoethanol | Balance between preserving disulfide bonds and preventing oxidation |
Antibody Coupling Strategies:
Direct coupling to beads using chemical crosslinkers for cleaner elution profiles
Comparison of protein A/G beads versus magnetic beads for efficiency
Optimization of antibody:bead ratio for maximal capture with minimal background
Elution Strategy Development:
Comparison of gentle (competitive peptide) versus denaturing (SDS, low pH) elution methods
Assessment of elution efficiency using quantitative Western blot
Evaluation of complex preservation under different elution conditions
Downstream Analysis Planning:
Sample preparation workflows for mass spectrometry identification
Orthogonal validation approaches for identified interaction partners
Quantitative analysis parameters for comparative interaction studies
This systematic approach establishes a robust IP protocol specifically optimized for YEF1 Antibody research applications.
Investigating the nexus between YEF1-mediated NAD+ metabolism and mitochondrial function represents an advanced research direction. Consider these methodological approaches:
Subcellular Fractionation Studies:
Isolate mitochondrial, cytosolic, and nuclear fractions using differential centrifugation
Quantify YEF1 distribution across fractions using the antibody
Track redistribution during respiratory versus fermentative growth
Respiration-Deficient Mutant Analysis:
Compare YEF1 expression between wild-type and petite (rho⁻) mutants
Assess impact of respiratory chain inhibitors on YEF1 levels and localization
Investigate retrograde signaling effects on YEF1 expression
Metabolic Flux Correlation:
Measure oxygen consumption rates using respirometry
Correlate with YEF1 protein levels quantified by immunoblotting
Map relationship between NAD+/NADH ratio and respiratory capacity
Mitochondrial Stress Response:
Induce mitochondrial unfolded protein response using genetic or chemical approaches
Monitor YEF1 levels during mitochondrial stress adaptation
Investigate potential regulatory role in mitochondrial quality control
Chronological Aging Correlation:
Track YEF1 levels throughout yeast chronological lifespan
Correlate with mitochondrial morphology and membrane potential
Develop predictive models of NAD+ metabolism influence on mitochondrial aging
These approaches utilize YEF1 Antibody as a critical tool for elucidating the complex relationship between redox metabolism and mitochondrial homeostasis.
When working with YEF1 Antibody in Western blot applications, researchers may encounter several technical challenges. Here is a systematic troubleshooting approach:
| Challenge | Potential Causes | Methodological Solutions |
|---|---|---|
| No Signal | - Insufficient protein loading - Excessive antibody dilution - Protein degradation - Target protein denaturation | - Increase sample loading to 50-75 μg - Use more concentrated antibody (1:500) - Add fresh protease inhibitors during lysis - Modify sample heating conditions (65°C for 5 min instead of 95°C) |
| High Background | - Insufficient blocking - Antibody concentration too high - Inadequate washing - Secondary antibody issues | - Extend blocking to 2 hours or overnight at 4°C - Test serial antibody dilutions (1:1000-1:5000) - Increase wash stringency (0.1% Tween-20, 5 × 10 min) - Try alternative secondary antibody at higher dilution |
| Multiple Bands | - Post-translational modifications - Degradation products - Cross-reactivity - Splice variants | - Perform phosphatase treatment of lysates - Use fresher samples with multiple protease inhibitors - Conduct peptide competition assay - Check literature for known YEF1 isoforms |
| Inconsistent Results | - Variable extraction efficiency - Uneven transfer - Antibody stability issues - Expression variability | - Standardize cell disruption protocol - Use stain-free or Ponceau S to verify transfer - Make fresh antibody dilutions for each experiment - Control growth conditions precisely |
For each troubleshooting intervention, researchers should systematically modify one variable at a time and document the outcomes to establish optimal conditions for their specific experimental system .
Accurate quantification of YEF1 protein levels requires rigorous methodology to ensure reproducibility and reliability:
Standardized Sample Preparation:
Harvest cells at precisely defined growth phases
Use mechanical disruption (glass beads) for consistent extraction efficiency
Determine protein concentration using Bradford or BCA assay in technical triplicate
Prepare multiple identical aliquots to minimize freeze-thaw cycles
Optimal Electrophoresis and Transfer Parameters:
Load equal protein amounts (verified by total protein stain)
Include calibration curve using recombinant standards when possible
Use stain-free technology or reversible stains to confirm transfer efficiency
Implement PVDF membranes for better protein retention and quantification linearity
Rigorous Immunodetection Protocol:
Optimize antibody concentration for linear response range
Ensure exposure times avoid signal saturation
Capture multiple exposure times to determine linear detection range
Use digital imaging systems rather than film for wider dynamic range
Robust Normalization Strategy:
Employ multiple loading controls (e.g., PGK1 and total protein)
Calculate normalization factors using geometric means of multiple references
Verify loading control stability across experimental conditions
Consider normalization to cell number in addition to protein content
Statistical Analysis Framework:
Analyze minimum of three biological replicates
Apply appropriate statistical tests (ANOVA, t-test) with multiple testing correction
Report effect sizes and confidence intervals in addition to p-values
Present both raw and normalized data in supplementary materials
Following these methodological guidelines ensures robust quantification of YEF1 protein levels across experimental conditions.
Cross-reactivity represents a significant concern in antibody-based research. For YEF1 Antibody, implement this systematic assessment and mitigation strategy:
Comprehensive Specificity Assessment:
Test antibody against lysates from Δyef1 deletion strain
Examine reactivity with recombinant YEF1 protein
Evaluate signal in strains with epitope-modified YEF1
Compare reactivity pattern with multiple anti-YEF1 antibodies (if available)
Homology-Based Cross-Reactivity Prediction:
Identify proteins with sequence similarity to YEF1 immunizing peptide
Test antibody against recombinant versions of potential cross-reactive proteins
Analyze molecular weight patterns of detected bands relative to known homologs
Implement bioinformatic prediction of potential cross-reactive epitopes
Advanced Validation Techniques:
Perform immunoprecipitation followed by mass spectrometry
Conduct epitope mapping using peptide arrays
Implement competitive ELISA with potential cross-reactive proteins
Use orthogonal detection methods (aptamers, alternative antibodies) for confirmation
Experimental Design Modifications:
Include additional controls when cross-reactivity is suspected
Implement pre-adsorption with potential cross-reactive proteins
Consider using tagged YEF1 constructs with tag-specific antibodies as alternatives
Interpret results cautiously with acknowledged limitations
These methodological approaches allow researchers to confidently distinguish between specific YEF1 signal and potential cross-reactivity, enhancing data reliability and reproducibility.
Integrating YEF1 Antibody-based proteomics with other omics approaches offers powerful insights into yeast metabolism:
Integrated Transcriptome-Proteome Analysis:
Correlate YEF1 protein levels (Western blot) with YEF1 mRNA expression (RT-qPCR/RNA-seq)
Identify post-transcriptional regulation mechanisms
Develop mathematical models describing YEF1 expression regulation
Proteome-Metabolome Integration:
Measure YEF1 protein abundance across metabolic states
Correlate with NAD+/NADH and NADP+/NADPH ratios
Map relationship between enzyme levels and metabolic flux
Temporal Multi-omics Profiling:
Conduct time-course experiments tracking YEF1 levels during metabolic transitions
Integrate with metabolomics and phosphoproteomics
Develop dynamic models of NAD+ metabolism regulation
Spatial-Proteomics Integration:
Use YEF1 Antibody in subcellular fractionation studies
Combine with spatial metabolomics approaches
Map compartment-specific NAD+ metabolism regulation
Network Analysis Framework:
Position YEF1 within protein-protein interaction networks
Identify regulatory hubs controlling YEF1 expression/activity
Develop predictive models of metabolic responses to perturbation
This multi-omics integration provides systems-level understanding of YEF1's role in metabolic regulation beyond what isolated approaches can achieve.
Several cutting-edge technologies offer potential to enhance YEF1 antibody applications:
Single-Cell Proteomics:
Apply YEF1 Antibody in microfluidic single-cell Western blot platforms
Resolve cell-to-cell variability in YEF1 expression
Identify subpopulations with distinct metabolic states
Proximity Labeling Applications:
Use YEF1 Antibody to validate BioID or TurboID fusion constructs
Map YEF1 protein-protein interactions in living cells
Identify transient interaction partners missed by conventional approaches
Super-Resolution Microscopy Integration:
Apply YEF1 Antibody in STORM or PALM imaging
Resolve nanoscale organization of YEF1 in subcellular compartments
Track dynamic relocalization during metabolic transitions
Microfluidics-Enhanced Live-Cell Analysis:
Combine with microfluidic platforms for real-time perturbation
Correlate single-cell metabolic responses with fixed-cell YEF1 immunofluorescence
Develop predictive models of metabolic heterogeneity
CRISPR-Based Approaches:
Validate CRISPR-edited YEF1 variants using the antibody
Implement CRISPRi/CRISPRa to modulate YEF1 expression
Correlate genomic modifications with protein-level changes
Machine Learning Integration:
Apply deep learning to analyze complex YEF1 localization patterns
Develop predictive models correlating YEF1 levels with cellular phenotypes
Implement automated image analysis for high-throughput screening
These technological advances significantly expand the research applications of YEF1 Antibody beyond conventional biochemical approaches.
YEF1 Antibody offers valuable opportunities for evolutionary studies of NAD+ metabolism across fungal species:
Cross-Species Reactivity Analysis:
Test YEF1 Antibody against lysates from evolutionarily diverse yeast species
Map epitope conservation across phylogenetic distance
Develop evolutionary models of functional domain conservation
Comparative Expression Profiling:
Quantify YEF1 homolog expression across species under identical conditions
Correlate protein abundance with NAD+ metabolic patterns
Identify species-specific regulatory mechanisms
Functional Conservation Assessment:
Express YEF1 homologs from different species in S. cerevisiae Δyef1 background
Use YEF1 Antibody to quantify expression levels
Correlate cross-species complementation with protein structure conservation
Stress Response Evolution:
Compare YEF1 expression dynamics during stress across species
Identify conserved versus divergent regulatory mechanisms
Map evolutionary trajectories of NAD+ metabolism regulation
Methodological Approach for Cross-Species Analysis:
| Experimental Step | Methodology | Analysis Approach |
|---|---|---|
| Sequence Analysis | Multiple sequence alignment of YEF1 homologs | Calculate conservation scores for epitope regions |
| Epitope Mapping | Peptide arrays with conserved and variable regions | Determine precise binding sites of YEF1 Antibody |
| Cross-Reactivity Testing | Western blot against multiple species | Quantify signal intensity relative to sequence divergence |
| Functional Testing | Heterologous expression and enzyme activity assays | Correlate structure conservation with function |
| Evolutionary Modeling | Ancestral sequence reconstruction | Map functional divergence on phylogenetic tree |
This systematic approach leverages YEF1 Antibody as a tool for exploring the evolutionary dynamics of NAD+ metabolism across the fungal kingdom.