aprE Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
aprE antibody; apr antibody; aprA antibody; sprE antibody; BSU10300 antibody; Subtilisin E antibody; EC 3.4.21.62 antibody
Target Names
aprE
Uniprot No.

Target Background

Function
Subtilisin is an extracellular alkaline serine protease that catalyzes the hydrolysis of proteins and peptide amides.
Gene References Into Functions
  1. A mutant mimicking phosphorylation of SalA (SalA Y327E) exhibited a strong repression of scoC, leading to overproduction of AprE. PMID: 26094643
  2. The findings suggest that IS1 facilitates the formation of the Ca1 site and complete folding of Pro-subtilisin E, thereby accelerating its autoprocessing. PMID: 24279884
Database Links
Protein Families
Peptidase S8 family
Subcellular Location
Secreted.

Q&A

What is aprE Antibody and what experimental systems is it used to study?

The aprE Antibody is a polyclonal antibody raised against Subtilisin E (EC 3.4.21.62), a serine protease encoded by the aprE gene in Bacillus subtilis (strain 168). This antibody specifically recognizes the bacterial protease and is primarily used in microbiology research focused on Bacillus species . The commercially available antibodies are typically raised in rabbits using recombinant Bacillus subtilis aprE protein as the immunogen, resulting in recognition of multiple epitopes on the target protein . Researchers use this antibody to study protease expression, secretion mechanisms, and gene regulation in bacterial systems.

What are the validated applications for aprE Antibody in research protocols?

Based on the search results, aprE Antibody has been validated for several key applications:

ApplicationValidation StatusRecommended Dilution RangeNotes
Western Blot (WB)Validated1:500 - 1:5,000Primary application with confirmed specificity
ELISAValidated1:1,000 - 1:10,000Effective for quantitative analysis
Immunofluorescence (IF)Limited validation1:100 - 1:500Some variants show compatibility
Immunoprecipitation (IP)Limited validation1:50 - 1:200Available with select antibody preparations

These applications allow researchers to detect and quantify aprE protein expression and localization in various experimental contexts. The most robust data has been obtained through Western blotting and ELISA applications .

How should aprE Antibody be validated before incorporation into experimental workflows?

Proper validation of aprE Antibody is critical for ensuring experimental reliability and reproducibility. Based on current best practices in antibody validation, researchers should implement a multi-step validation process:

  • Specificity testing using wild-type cells alongside isogenic CRISPR knockout (KO) variants of the same cells, which provides the most rigorous validation methodology

  • Western blot analysis with positive controls (recombinant aprE protein) and negative controls (lysates from aprE knockout Bacillus strains) to confirm single-band detection at the expected molecular weight

  • Titration experiments to determine optimal working concentrations for each application

  • Cross-reactivity assessment with related bacterial proteases, particularly those with high sequence homology

While the optimal CRISPR KO-based validation approach provides the highest confidence, it carries significant costs (estimated >$5,000 per antibody), which may exceed the typical commercial value of antibody products . Therefore, researchers should at minimum perform Western blot validation with appropriate controls before proceeding with experimental applications.

What are the optimal storage and handling conditions for maintaining aprE Antibody activity?

According to product specifications, aprE Antibody should be stored at -20°C or -80°C upon receipt . To maintain antibody integrity over extended periods:

  • Avoid repeated freeze-thaw cycles which can cause antibody degradation and loss of binding activity

  • Upon receipt, create working aliquots in volumes appropriate for single-use experiments

  • Store in the provided buffer system, which typically contains 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative

  • For reconstituted lyophilized antibodies, equilibrate to room temperature before opening to prevent moisture condensation that could damage the product

  • Always centrifuge briefly before opening to ensure all liquid is at the bottom of the vial

Following these storage guidelines will help maintain antibody activity throughout your research timeline and improve experimental consistency.

What controls are essential when using aprE Antibody in experimental protocols?

When designing experiments with aprE Antibody, several controls should be included to ensure valid and interpretable results:

Control TypeDescriptionPurpose
Positive ControlRecombinant Bacillus subtilis aprE protein or wild-type B. subtilis lysateConfirms antibody binding to target
Negative ControlLysate from aprE knockout strain or unrelated bacterial speciesIdentifies potential cross-reactivity
Secondary Antibody-OnlyOmit primary antibody, include only secondary detectionDetects non-specific binding of detection system
Loading ControlAntibody against housekeeping protein (e.g., RNA polymerase β subunit)Ensures equal sample loading across lanes
Pre-immune SerumSerum collected before immunization (included with some products )Establishes baseline non-specific binding

How does the specificity of polyclonal aprE Antibody compare to monoclonal alternatives for research applications?

The commercially available aprE Antibodies are primarily polyclonal antibodies raised in rabbits , which recognize multiple epitopes on the aprE protein. This multi-epitope recognition provides advantages and limitations compared to potential monoclonal alternatives:

CharacteristicPolyclonal aprE AntibodyMonoclonal Alternative
Epitope RecognitionMultiple epitopesSingle epitope
SensitivityHigher (cumulative signal from multiple epitopes)Lower (signal from single epitope)
SpecificityLower (potential cross-reactivity)Higher (reduced cross-reactivity)
Batch-to-Batch ConsistencyLowerHigher
Resistance to Target DenaturationHigher (some epitopes may remain intact)Lower (epitope loss can eliminate signal)
Application VersatilityMore versatile across applicationsMay perform well in specific applications only

What optimization strategies are recommended for detecting low-abundance aprE expression?

When working with samples where aprE is expressed at low levels, several optimization approaches can enhance detection sensitivity:

  • Signal amplification systems:

    • Utilize high-sensitivity ECL substrates for Western blotting

    • Employ biotin-streptavidin amplification for enhanced signal

    • Implement tyramide signal amplification for immunofluorescence applications

  • Sample enrichment techniques:

    • Concentrate proteins using immunoprecipitation with aprE Antibody

    • Perform subcellular fractionation to isolate compartments with higher aprE concentration

    • Apply TCA precipitation to concentrate secreted aprE from culture media

  • Detection system optimization:

    • Use secondary antibodies with higher enzyme:antibody ratios

    • Extend exposure times for Western blot imaging

    • Employ cooled CCD cameras for improved signal capture with lower background

  • Background reduction strategies:

    • Extend blocking time (overnight at 4°C) with 5% BSA

    • Increase washing duration and buffer volume

    • Pre-absorb diluted antibody with lysates from aprE-knockout bacteria

Combining these approaches can significantly improve the detection of low-abundance aprE protein while maintaining experimental specificity.

How can cross-reactivity with other bacterial proteases be assessed and minimized?

The aprE protein belongs to a family of bacterial serine proteases with structural similarities, raising concerns about potential cross-reactivity. To assess and minimize this issue:

Assessment strategies:

  • Perform Western blot analysis using lysates from:

    • Wild-type Bacillus subtilis

    • aprE knockout mutants

    • Related Bacillus species (B. licheniformis, B. amyloliquefaciens)

    • Other bacteria expressing similar proteases

  • Conduct peptide competition assays:

    • Pre-incubate aprE Antibody with excess purified aprE protein

    • Compare binding patterns with and without competition

    • Reduction in signal confirms specific binding to aprE epitopes

Minimization techniques:

  • Antibody dilution optimization:

    • Test a dilution series to identify concentration with optimal signal-to-noise ratio

    • Use highest dilution that provides adequate specific signal

  • Pre-absorption:

    • Incubate diluted antibody with lysates from bacteria lacking aprE

    • Remove antibodies that bind non-target proteins

  • Modified buffer conditions:

    • Increase salt concentration (250-300 mM NaCl) to reduce non-specific ionic interactions

    • Add 0.1% Tween-20 to reduce hydrophobic interactions

  • Blocking optimization:

    • Test different blocking agents (BSA, milk, commercial blockers)

    • Extend blocking time to enhance competition for non-specific binding sites

These strategies should be systematically evaluated to determine the optimal approach for each specific experimental context.

What sample preparation methodologies maximize aprE detection in bacterial cultures?

Effective sample preparation is critical for successful aprE Antibody detection. For Bacillus subtilis cultures, the following optimized protocol is recommended:

Protocol for intracellular aprE detection:

  • Harvest bacterial cells in mid to late log phase (OD600 ~0.8-1.2) when aprE expression typically reaches detectable levels

  • Wash cell pellet twice with ice-cold PBS to remove media components

  • Resuspend in lysis buffer containing:

    • 50 mM Tris-HCl (pH 8.0)

    • 150 mM NaCl

    • 1 mM EDTA

    • 1 mM PMSF (protease inhibitor)

    • Lysozyme (5 mg/ml)

  • Incubate at 37°C for 30 minutes for cell wall digestion

  • Complete lysis by sonication (5 cycles of 10 seconds on/30 seconds off) on ice

  • Clear lysate by centrifugation (15,000 × g, 15 minutes, 4°C)

  • Quantify protein concentration using Bradford or BCA assay

  • Prepare samples for SDS-PAGE by mixing with Laemmli buffer and heating at 95°C for 5 minutes

Protocol for secreted aprE detection:

  • Grow bacterial culture to desired phase

  • Remove cells by centrifugation (5,000 × g, 10 minutes)

  • Filter supernatant through 0.22 μm filter to remove remaining cells

  • Concentrate proteins by one of these methods:

    • TCA precipitation (add 100% TCA to 10% final concentration, incubate on ice 30 minutes)

    • Ultrafiltration using 10 kDa MWCO device

  • Resuspend precipitated proteins in appropriate buffer for downstream application

These protocols maximize protein recovery while minimizing degradation that could affect antibody recognition.

How can aprE Antibody be used to study aprE protein expression dynamics?

The aprE Antibody serves as a valuable tool for studying protein expression dynamics in Bacillus subtilis through several methodological approaches:

  • Time-course expression analysis:

    • Sample cultures at defined intervals throughout growth phases

    • Process samples consistently using the protocols described in 2.4

    • Perform Western blot analysis with aprE Antibody

    • Quantify band intensities using densitometry

    • Plot relative expression levels against time/growth phase

  • Comparative strain analysis:

    • Prepare lysates from different Bacillus subtilis strains or regulatory mutants

    • Analyze aprE expression using consistent Western blot or ELISA protocols

    • Normalize expression to total protein or housekeeping gene product

    • Identify strain-specific differences in expression patterns

  • Response to environmental stimuli:

    • Culture bacteria under varying conditions (pH, temperature, nutrient availability)

    • Quantify aprE expression changes in response to each condition

    • Correlate expression patterns with environmental parameters

    • Identify regulatory mechanisms through comparison with known stress-response systems

  • Subcellular localization dynamics:

    • Perform cellular fractionation to separate cytoplasmic, membrane, and extracellular fractions

    • Detect aprE in each fraction using the antibody

    • Monitor changes in distribution across fractions under different conditions

    • Assess secretion efficiency in wild-type versus secretory pathway mutants

These approaches provide complementary insights into the regulation, production, and processing of aprE protein in bacterial systems.

What are the methodological considerations for using aprE Antibody in multiplex detection systems?

Multiplex detection using aprE Antibody in combination with other antibodies can provide valuable insights into protein co-expression and potential interactions. Several methodological approaches are available:

  • Dual immunofluorescence labeling:

    • Select primary antibodies raised in different host species (e.g., rabbit anti-aprE with mouse anti-regulatory proteins)

    • Use species-specific secondary antibodies conjugated to spectrally distinct fluorophores

    • Important considerations:

      • Ensure no spectral overlap between selected fluorophores

      • Validate each antibody individually before multiplexing

      • Include single-label controls to confirm specificity

  • Sequential immunoblotting:

    • After detecting aprE, strip the membrane using a mild stripping buffer:

      • 15 mM glycine, 1% SDS, 1% Tween-20, pH 2.2 (10 minutes at room temperature)

    • Verify complete stripping with secondary antibody incubation

    • Reprobe with antibodies against other proteins of interest

    • Critical factors:

      • Validate that stripping does not remove target proteins

      • Optimize stripping conditions to maintain membrane integrity

      • Consider proteins of similar molecular weight that may be difficult to distinguish

  • Capillary-based automated Western systems:

    • Utilize systems like Jess or Wes (ProteinSimple) that allow multiplexing by size

    • Label aprE Antibody with one fluorophore and other antibodies with distinct fluorophores

    • Benefits include:

      • Higher reproducibility than traditional Western blotting

      • Reduced sample consumption

      • Automated quantification

  • Proximity ligation assay (PLA):

    • Combine aprE Antibody with antibodies against potential interaction partners

    • Use oligonucleotide-labeled secondary antibodies that generate amplifiable DNA only when in close proximity

    • Provides in situ detection of protein-protein interactions with high sensitivity

These methods require careful optimization and appropriate controls to ensure reliable multiplex detection of aprE alongside other proteins of interest.

How does buffer composition affect aprE Antibody performance in different experimental systems?

The performance of aprE Antibody can vary significantly across different buffer systems, which is a critical consideration for experimental design. Systematic evaluation of the following parameters is recommended:

Buffer ComponentOptimal RangeEffects Outside RangeRecommended Optimization
pH7.0-8.0<6.0: Reduced binding
>9.0: Increased non-specific binding
Test pH range 6.5-8.5 in 0.5 increments
Salt (NaCl)100-200 mM<50 mM: Increased non-specific binding
>300 mM: Reduced specific binding
Start at 150 mM; adjust ±50 mM based on results
DetergentsTween-20: 0.05-0.1%
Triton X-100: 0.1-0.5%
>0.5%: Possible epitope masking
<0.01%: Insufficient blocking
Test multiple detergent types and concentrations
Blocking ProteinsBSA: 2-5%
Milk: 3-5%
<1%: Insufficient blocking
>10%: Potential epitope masking
Compare BSA, milk, and commercial blockers
Divalent Cations0-5 mM>10 mM: Can affect protein conformation and antibody bindingTest addition of 1-5 mM CaCl₂ or MgCl₂

A systematic buffer optimization experiment should:

  • Start with standard TBS-T (25 mM Tris, 150 mM NaCl, 0.1% Tween-20, pH 7.4)

  • Modify one variable at a time

  • Quantify signal-to-noise ratio for each condition

  • Select conditions that maximize specific signal while minimizing background

This methodical approach will identify optimal buffer conditions for each specific application of aprE Antibody.

What advanced imaging techniques can be combined with aprE Antibody for subcellular localization studies?

When investigating the subcellular localization of aprE protein in bacterial cells, several advanced imaging methodologies can be employed:

  • Super-resolution microscopy techniques:

    • Structured Illumination Microscopy (SIM): Achieves ~100 nm resolution through patterned illumination

    • Stimulated Emission Depletion (STED): Provides ~30-50 nm resolution using depletion laser

    • Single Molecule Localization Microscopy (PALM/STORM): Reaches ~10-20 nm resolution through sequential activation

    Implementation protocol:

    • Use highly specific secondary antibodies conjugated to bright, photostable fluorophores

    • Mount samples with anti-fade reagents to minimize photobleaching

    • Include fiducial markers for drift correction during image acquisition

    • Optimize fixation to preserve cellular ultrastructure (e.g., 2% PFA + 0.1% glutaraldehyde)

  • Correlative Light and Electron Microscopy (CLEM):

    • Visualize aprE using fluorescence microscopy

    • Process same sample for electron microscopy

    • Correlate fluorescence signal with ultrastructural features

    Critical considerations:

    • Use specialized sample preparation compatible with both imaging modalities

    • Include registration markers visible in both light and electron microscopy

    • Optimize fixation and embedding protocols to preserve antigenicity and ultrastructure

  • Expansion Microscopy:

    • Physically expand the sample through a swellable polymer

    • Achieve effective super-resolution with standard microscopes

    • Particularly useful for visualizing aprE distribution in densely packed bacterial cells

    Protocol adaptation for bacterial cells:

    • Modify cell wall digestion steps for efficient expansion

    • Use bright, polymer-anchorable fluorophores

    • Calculate expansion factor using fiducial markers for accurate size determination

  • Cryo-fluorescence microscopy:

    • Rapidly freeze samples without fixation to preserve native state

    • Perform fluorescence imaging at cryogenic temperatures

    • Minimizes artifacts associated with chemical fixation

    Technical requirements:

    • Specialized cryo-stage and environmental control

    • Fluorophores that maintain brightness at low temperatures

    • Rapid sample preparation to prevent ice crystal formation

These advanced imaging approaches provide complementary information about aprE localization with unprecedented spatial resolution and structural context.

What methods can validate the specificity of aprE Antibody for detecting native versus denatured protein conformations?

The conformation-dependent binding properties of aprE Antibody have significant implications for experimental applications. Several methodological approaches can assess and validate specificity for native versus denatured conformations:

  • Parallel native and denaturing Western analysis:

    • Prepare identical samples under native (non-reducing, no SDS, no heating) and denaturing conditions

    • Run parallel native and SDS-PAGE gels

    • Transfer and probe with aprE Antibody

    • Compare binding patterns and signal intensities

    • Results interpretation:

      • Equal signal: Conformation-independent epitope recognition

      • Stronger signal in denatured samples: Recognition of buried epitopes

      • Stronger signal in native samples: Conformation-dependent epitope

  • Enzyme-linked immunosorbent assay (ELISA) variants:

    • Coat plates with native purified aprE protein

    • Compare with heat-denatured aprE protein (95°C, 10 minutes)

    • Detect with aprE Antibody using standard ELISA protocol

    • Measure relative binding affinity to each conformation

  • Immunoprecipitation efficiency comparison:

    • Perform parallel immunoprecipitations under native conditions and with denatured samples

    • Quantify pull-down efficiency by Western blot analysis of input, unbound, and bound fractions

    • Calculate percent recovery under each condition

  • Dot blot analysis with conformational treatments:

    • Spot identical amounts of aprE protein treated with:

      • Buffer only (native)

      • Heat denaturation (95°C, 5 minutes)

      • Chemical denaturation (6M guanidine HCl)

      • Mild reduction (1mM DTT)

      • Complete reduction (10mM DTT)

    • Probe with aprE Antibody and quantify signal intensities

These comparative approaches provide critical information about epitope accessibility and antibody binding characteristics that can guide experimental design and interpretation.

How can computational modeling inform the interpretation of aprE Antibody binding patterns in complex samples?

Computational approaches can significantly enhance the interpretation of experimental results obtained with aprE Antibody. Several methodological frameworks can be applied:

  • Epitope prediction and cross-reactivity assessment:

    • Generate 3D structural models of aprE and related bacterial proteases

    • Perform sequence alignment to identify conserved regions

    • Use epitope prediction algorithms to identify likely antibody binding sites

    • Cross-reference with experimentally observed cross-reactivity patterns

    • This approach helps:

      • Predict potential false positives in complex samples

      • Design blocking peptides for specificity confirmation

      • Interpret unexpected binding patterns

  • Signal quantification and normalization strategies:

    • Apply automated band detection and quantification algorithms

    • Implement background subtraction methods (rolling ball, local baseline)

    • Normalize signal to loading controls using various mathematical models:

      • Linear regression for standard curve generation

      • LOWESS smoothing for non-linear relationships

      • Housekeeping protein normalization with stability assessment

    • These approaches improve:

      • Reproducibility across experiments

      • Detection of subtle expression changes

      • Correction for technical variations

  • Machine learning classification of antibody binding patterns:

    • Train algorithms on datasets with known aprE expression profiles

    • Apply to new samples to identify canonical versus non-canonical binding patterns

    • Use ensemble methods to improve classification accuracy

    • Benefits include:

      • Automated identification of specific versus non-specific binding

      • Pattern recognition across multiple experiments

      • Reduced subjectivity in data interpretation

  • Molecular dynamics simulations of antibody-antigen interactions:

    • Model the 3D structure of aprE protein and antibody binding regions

    • Simulate physical interactions under various conditions

    • Predict effects of mutations, pH changes, or buffer compositions

    • Applications include:

      • Optimizing experimental conditions for maximum binding affinity

      • Understanding conformational epitopes

      • Predicting cross-reactivity with related proteins

Integration of these computational approaches with experimental data provides a more comprehensive understanding of aprE Antibody binding characteristics and enhances data interpretation in complex bacterial systems.

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