PBX1 antibodies are immunological tools designed to detect and study the PBX1 protein, a transcription factor involved in embryonic development and hematopoiesis. These antibodies are widely used in:
PBX1 antibodies have been rigorously validated across multiple platforms:
Epitope Diversity: High-density peptide arrays revealed >20 linear epitopes on PBX1, critical for antibody-antigen interaction .
Clinical Relevance: PBX1 antibodies aid in studying hematologic malignancies and developmental disorders .
Database Coverage: PBX1 antibody sequences are cataloged in PLAbDab, a repository with >150,000 antibody entries .
Sample Preparation: Epitope accessibility requires native protein conformation; denaturation (e.g., western blot protocols) may reduce binding efficiency .
Specificity Controls: Non-reactivity with serum albumin (BSA/RSA) confirmed via peptide microarray analysis .
Dosage: For therapeutic development, physiologically based pharmacokinetic (PBPK) modeling predicts optimal dosing regimens .
KEGG: bsu:BSU34440
STRING: 224308.Bsubs1_010100018661
The pbpE protein (Penicillin-binding protein 4*) is a critical component in bacterial cell wall biosynthesis, primarily involved in peptidoglycan modification during cortex synthesis in Bacillus subtilis. This protein belongs to the penicillin-binding protein family and plays a significant role in maintaining cell wall integrity. Understanding pbpE function provides insights into bacterial growth, sporulation, and potential antimicrobial resistance mechanisms in gram-positive bacteria .
The pbpE Antibody (PACO50306) has been rigorously validated for multiple research applications, most notably Western Blot (WB) and ELISA. For Western Blot applications, researchers should use dilution ranges of 1:500-1:5000, while ELISA applications typically require dilutions of 1:2000-1:10000. These applications enable precise detection and quantification of pbpE protein expression across various experimental conditions .
The commercially available pbpE Antibody (PACO50306) is a rabbit-derived polyclonal antibody with high specificity for Bacillus subtilis samples. It is supplied in liquid form (50μg) with a storage buffer containing 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS at pH 7.4. The antibody is purified using Protein G purification (>95% purity) and is non-conjugated, making it versatile for various detection methods .
| Specification | Details |
|---|---|
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Target Species | Bacillus subtilis |
| Applications | ELISA (1:2000-1:10000), WB (1:500-1:5000) |
| Immunogen | Recombinant Bacillus subtilis Penicillin-binding protein 4* protein (1-451AA) |
| Molecular Weight | 67.4 kDa (target protein) |
| Observed Band Size | 52 kDa |
| Purification Method | Protein G purified (>95%) |
| Storage | 50% Glycerol, 0.01M PBS, pH 7.4 with 0.03% Proclin 300 |
For optimal detection of pbpE in bacterial samples, researchers should implement a carefully designed extraction protocol:
Culture Bacillus subtilis to mid-logarithmic phase (OD600 = 0.6-0.8) in appropriate media
Harvest cells by centrifugation (5,000 × g for 10 minutes at 4°C)
Wash bacterial pellet twice with ice-cold PBS to remove media components
Resuspend in lysis buffer containing appropriate protease inhibitors
Add lysozyme (1 mg/mL final concentration) and incubate at 37°C for 30 minutes
Disrupt cells via sonication (6-8 cycles of 10 seconds on/20 seconds off at 30% amplitude)
Centrifuge lysate at 15,000 × g for 30 minutes at 4°C
Collect supernatant for soluble proteins or process pellet for membrane-associated fractions
Determine protein concentration using Bradford or BCA assay
Add SDS-PAGE sample buffer and heat at 95°C for 5 minutes prior to gel loading
This protocol ensures efficient extraction while preserving protein integrity for subsequent antibody-based detection methods.
To achieve optimal Western blot results with pbpE Antibody, researchers should implement the following protocol:
Separate 20-50 μg of protein extract on a 10% SDS-PAGE gel
Transfer proteins to PVDF membrane (100V for 60 minutes in cold transfer buffer)
Block membrane with 5% non-fat dry milk in TBST for 1 hour at room temperature
Incubate with primary pbpE Antibody at 1:1000 dilution (in 5% BSA/TBST) overnight at 4°C
Wash membrane 3× with TBST (10 minutes each)
Incubate with HRP-conjugated anti-rabbit IgG secondary antibody (1:50000 dilution) for 1 hour
Wash membrane 3× with TBST (10 minutes each)
Develop using ECL substrate and image using appropriate detection system
Western blot validation data shows that the antibody detects a specific band at the expected size of 52 kDa in recombinant protein samples, confirming its specificity and sensitivity .
When designing experiments with pbpE Antibody, researchers should incorporate multiple controls to ensure data reliability:
Positive control: Wild-type Bacillus subtilis known to express pbpE
Negative control: Ideally a pbpE knockout strain (if available)
Recombinant protein control: Purified recombinant pbpE protein
Primary antibody omission control: Sample processed without primary antibody
Isotype control: Non-specific rabbit IgG at equivalent concentration
Blocking peptide control: Pre-incubation of antibody with immunizing peptide
Cross-reactivity controls: Related bacterial species to assess specificity
These controls help distinguish specific signals from background noise and validate experimental findings. The inclusion of multiple controls is particularly important given ongoing concerns about antibody reproducibility in scientific research .
The pbpE Antibody provides a valuable tool for investigating antimicrobial resistance mechanisms, particularly those involving cell wall synthesis modifications. Researchers can design experiments to:
Compare pbpE expression levels in antibiotic-sensitive versus resistant strains
Monitor changes in pbpE expression following exposure to sub-lethal concentrations of β-lactam antibiotics
Analyze potential structural modifications of pbpE through immunoprecipitation followed by mass spectrometry
Perform co-localization studies with other penicillin-binding proteins to identify compensatory mechanisms
Evaluate pbpE expression in clinical isolates with varying antibiotic susceptibility profiles
This approach provides insights into the molecular mechanisms underlying bacterial adaptation to antimicrobial challenges, potentially revealing novel therapeutic targets .
When designing physiologically based pharmacokinetic (PBPK) models involving antibodies against bacterial targets like pbpE, researchers should consider multiple factors:
Integrate antibody-specific physiochemical properties that influence distribution and clearance
Account for nonspecific binding parameters, which significantly correlate with vascular to endothelial clearance (R = 0.64, p = .0013)
Consider paracellular transport mechanisms influenced by antibody characteristics (R = 0.52, p = .012)
Incorporate thermal stability, hydrophobicity, and self-association parameters, though these alone may not be predictive
Develop mechanism-based models rather than empirical correlations to better predict antibody pharmacokinetics
Account for FcRn-mediated recycling that significantly impacts antibody half-life
These considerations enable more accurate prediction of antibody distribution and efficacy when targeting bacterial antigens in complex physiological systems .
Evaluating cross-reactivity is essential for accurate interpretation of experimental results. Researchers should:
Perform sequence alignment analysis of the immunogen (Bacillus subtilis pbpE residues 1-451) against homologous proteins from relevant bacterial species
Test the antibody against protein extracts from multiple bacterial species using Western blot
Quantify relative signal intensity across species to assess degree of cross-reactivity
Conduct epitope mapping to identify specific binding regions
Validate findings using knockout strains or heterologous expression systems
Consider pre-adsorption with recombinant proteins to enhance specificity in mixed-culture experiments
When encountering weak or absent signals with pbpE Antibody, researchers should systematically evaluate:
Protein extraction efficiency: Ensure complete lysis of bacterial cells with appropriate cell wall digestion steps
Protein degradation: Verify protease inhibitor effectiveness and maintain samples at 4°C throughout processing
Antibody concentration: Consider using higher antibody concentrations (1:500 dilution) for low-abundance targets
Incubation conditions: Extend primary antibody incubation to overnight at 4°C
Detection sensitivity: Utilize enhanced chemiluminescence substrates for improved signal amplification
Membrane selection: PVDF membranes often provide better protein retention than nitrocellulose
Expression levels: Confirm pbpE expression under experimental conditions via RT-qPCR
Antibody quality: Verify antibody activity using positive control samples
Implementing these approaches systematically helps identify and address the specific cause of signal issues .
Given the significant concerns about antibody reproducibility in scientific research, rigorous validation is essential:
Multi-method validation: Confirm specificity using orthogonal techniques (Western blot, ELISA, immunoprecipitation)
Genetic validation: Compare results between wild-type and gene knockout samples
Peptide competition: Demonstrate signal reduction following antibody pre-incubation with immunizing peptide
Recombinant protein standards: Include concentration gradients of recombinant protein as quantitative references
Lot-to-lot consistency: Test multiple antibody lots to ensure reproducible performance
Independent verification: Consider using multiple antibodies targeting different epitopes of the same protein
Publication of validation data: Document and share comprehensive validation methods and results
This thorough approach addresses the estimated 50% failure rate of commercial antibodies to meet basic characterization standards, which contributes to significant financial losses and reproducibility challenges in biomedical research .
To maintain optimal pbpE Antibody performance over time, researchers should consider these stability factors:
Storage temperature: Maintain at -20°C for long-term storage with minimal freeze-thaw cycles
Aliquoting strategy: Prepare single-use aliquots to prevent repeated freeze-thaw cycles
Buffer composition: The provided buffer (50% Glycerol, 0.01M PBS, pH 7.4) with 0.03% Proclin 300 preservative optimizes stability
Dilution stability: Working dilutions should be prepared fresh or stored at 4°C for no more than 1-2 weeks
Contamination prevention: Use sterile technique when handling antibody solutions
Temperature fluctuations: Avoid extended periods at room temperature
Expiration monitoring: Periodically test antibody performance against reference samples
Implementing these practices ensures consistent antibody performance throughout the research timeline and enhances experimental reproducibility .
The pbpE Antibody offers potential for developing high-throughput screening platforms to identify novel antimicrobial compounds:
Develop ELISA-based assays to quantify pbpE binding following compound treatment
Create fluorescence-based cellular assays to monitor pbpE localization changes in response to antimicrobial candidates
Establish multiplexed detection systems combining pbpE with other penicillin-binding proteins
Implement automated image analysis workflows for rapid assessment of pbpE expression patterns
Develop reporter systems that correlate pbpE binding with cellular viability markers
These approaches could accelerate identification of compounds that disrupt bacterial cell wall synthesis through novel mechanisms, potentially addressing antimicrobial resistance challenges .
When incorporating pbpE Antibody into systems biology investigations, researchers should:
Validate quantitative relationships between antibody signal and actual protein concentration
Establish standardized protocols for comparative analysis across multiple experimental conditions
Develop data normalization approaches that account for technical variations in antibody performance
Consider multiplexed detection methods to analyze pbpE in context with interacting proteins
Integrate antibody-based detection data with transcriptomic and metabolomic datasets
Implement computational models that incorporate protein-level data into pathway analysis
This integrated approach enables more comprehensive understanding of pbpE's role within broader bacterial physiological networks and stress responses .