omcA Antibody

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Description

What is OmcA Antibody?

OmcA antibodies are immunochemical reagents designed to bind selectively to the OmcA protein, enabling its detection, quantification, and functional analysis in experimental settings. OmcA is a key component of the extracellular electron transfer (EET) system in S. oneidensis, facilitating respiration on insoluble metal oxides like Fe(III) and Mn(IV) .

Research Applications of OmcA Antibody

OmcA antibodies are primarily used to:

  • Identify and localize OmcA in bacterial membranes via Western blotting and immunoelectron microscopy .

  • Study protein-protein interactions, such as OmcA’s association with MtrC, another outer membrane cytochrome .

  • Elucidate mechanisms of metal reduction by tracking OmcA’s role in electron transport pathways .

Experimental Data Overview

Study FocusKey FindingsMethods UsedReferences
OmcA-MtrC InteractionOmcA and MtrC copurify as a complex; binding affinity Kd=0.51.0μMK_d = 0.5–1.0 \mu MAffinity purification, SDS-PAGE
Metal Reduction SpecificityOmcA required for Mn(IV) reduction but not Fe(III)Gene knockout assays
Structural AnalysisOmcA migrates as ~75 kDa protein; forms oligomers with MtrCHeme staining, Immunoblotting

Technical Notes on OmcA Antibody Production

  • Hybridoma Technology: Monoclonal antibodies against OmcA are typically produced by immunizing animal models (e.g., mice) with purified OmcA, followed by hybridoma screening and antibody harvesting .

  • Epitope Tags: Engineered OmcA variants with tags (e.g., V5, His6_6) enable antibody-assisted purification and detection .

Limitations and Future Directions

  • Species Specificity: Current OmcA antibodies are tailored for S. oneidensis MR-1; cross-reactivity with homologs in other bacteria remains unexplored.

  • Therapeutic Potential: While OmcA itself is not a clinical target, understanding its function could inform bioengineering strategies for microbial fuel cells or environmental cleanup .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
omcA antibody; omp2A antibody; omp3 antibody; CT_444 antibody; Small cysteine-rich outer membrane protein OmcA antibody; Small-CRP antibody; 9 kDa cysteine-rich lipoprotein antibody; 9kDa-CRP antibody
Target Names
omcA
Uniprot No.

Target Background

Function
In elementary bodies (EBs), the infectious stage of *Chlamydia* that can survive outside the host cell, OmcA provides structural integrity to the outer envelope through disulfide cross-links with the large cysteine-rich periplasmic protein and the major outer membrane porin. It is described in the literature as the Sarkosyl-insoluble COMC (Chlamydia outer membrane complex) and serves as the functional equivalent of peptidoglycan.
Database Links

KEGG: ctr:CT_444

Subcellular Location
Cell outer membrane; Lipid-anchor. Note=The protein moiety probably penetrates into the periplasm.

Q&A

What is OmcA and why are antibodies against it important in research?

OmcA is a decaheme c-type cytochrome protein expressed on the exterior surface of Shewanella oneidensis MR-1, a bacterium known for its metal-reducing capabilities. Antibodies against OmcA are crucial research tools that enable the detection, localization, and functional analysis of this protein in various experimental contexts. These antibodies help researchers understand the role of OmcA in extracellular electron transfer processes, which is fundamental to studies on microbial fuel cells, bioremediation, and bacterial respiration mechanisms . Unlike simple biochemical assays, antibody-based techniques provide specific spatial information about protein localization and can be used in multiple experimental platforms from Western blots to advanced microscopy techniques.

How can I validate the specificity of anti-OmcA antibodies?

Validation of anti-OmcA antibodies requires multiple complementary approaches:

  • Western blot analysis: Test the antibody against both purified OmcA protein and whole-cell lysates of wild-type and OmcA-deficient (ΔomcA) mutant strains. A specific antibody will bind exclusively to OmcA without cross-reactivity to other cytochromes like MtrC .

  • Denaturing and native PAGE: Validate antibody recognition under both denaturing (SDS-PAGE) and native conditions, as some epitopes may be conformation-dependent .

  • Blocking experiments: Conduct competitive blocking assays where free anti-OmcA is added to the imaging fluid during microscopy to block binding between the antibody-functionalized probe and surface-exposed cytochromes. A significant decrease in signal confirms specificity .

  • Mutant controls: Use ΔomcA or ΔomcA ΔmtrC double mutant cells as negative controls. Significant reduction in binding events when probing these mutants indicates antibody specificity .

How can I use antibody recognition force microscopy (Ig-RFM) to detect OmcA on bacterial surfaces?

Ig-RFM is a specialized atomic force microscopy technique that maps the nanoscale location of specific molecules on cell surfaces. To detect OmcA using Ig-RFM:

  • Antibody functionalization: Covalently couple anti-OmcA molecules to silicon nitride (Si₃N₄) cantilevers via a flexible polyethylene glycol (PEG) linker molecule. This typically involves:

    • Functionalizing AFM tips with amine groups using ethanolamine

    • Attaching NHS-PEG-aldehyde linker to the aminated tips

    • Covalently tethering anti-OmcA antibodies (0.2 mg/ml) to the tips via the linker's aldehyde group using NaCNBH₃

  • Sample preparation: Grow Shewanella oneidensis MR-1 cells anaerobically to mid-log phase with Fe(III) as the terminal electron acceptor. Allow cells to attach to the substrate (e.g., hematite thin film) in anaerobic conditions without drying .

  • Force measurements: Perform force curve measurements by raster scanning the antibody-functionalized AFM tip across the sample surface. Collect force curves for a 32-by-32 array and deconvolute the raw data using a regularized filter algorithm .

  • Controls: Include essential controls such as unbaited tips, blocking experiments with free antibodies, and measurements on ΔomcA mutant cells .

This technique provides valuable insights into the spatial distribution of OmcA on living bacterial cells under near-native conditions.

What methods can be used to conjugate anti-OmcA antibodies to different surfaces for experimental applications?

Several conjugation strategies can be employed depending on the surface chemistry and experimental requirements:

Conjugation MethodSurface TypeLinker ChemistryAdvantagesLimitations
PEG linker systemSilicon nitride AFM tipsNHS-PEG-aldehydeProvides flexibility, reduces steric hindranceComplex multi-step process
Direct covalent attachmentGlass, silicon, goldGlutaraldehyde, EDC/NHSSimple, stable bondsPotential loss of antibody activity
Biotin-streptavidinVarious functionalized surfacesBiotin/streptavidin interactionStrong non-covalent binding, versatileAdditional biotin labeling step required
Physical adsorptionHydrophobic surfacesNon-covalent interactionsSimple, minimal chemical modificationLess stable, random orientation

For AFM applications specifically, the PEG linker approach described in Lower et al.'s work has proven effective for maintaining antibody functionality while providing the necessary flexibility for detection .

How can OmcA antibodies be used to study the interaction between Shewanella oneidensis and mineral surfaces?

OmcA antibodies enable sophisticated investigations of bacteria-mineral interactions through several advanced approaches:

These approaches collectively provide mechanistic insights into how bacteria like Shewanella oneidensis interact with and reduce extracellular minerals, which has implications for understanding natural geochemical cycles and developing biotechnological applications.

What are the challenges in using OmcA antibodies for quantitative analysis of protein expression?

Researchers face several methodological challenges when using OmcA antibodies for quantitative analysis:

  • Variable antibody tip configuration: In AFM applications, the exact configuration of antibodies on the tip (concentration, orientation, binding epitopes) is not known a priori, making absolute quantification difficult .

  • Protein accessibility issues: Since OmcA is embedded in complex cell surface structures including extracellular polymeric substances, antibody access may be inconsistent, affecting quantitative measurements .

  • Epitope masking: Under different growth conditions or in different mutant backgrounds, conformational changes or interactions with other molecules may mask epitopes, leading to false negative results.

  • Cross-reactivity concerns: Despite validation, subtle cross-reactivity with other c-type cytochromes may occur, particularly in whole-cell contexts with complex protein mixtures.

  • Quantitative calibration: Correlating signal intensity with absolute protein abundance requires careful calibration against known standards, which are challenging to establish for membrane-associated proteins.

To address these challenges, researchers should:

  • Use multiple antibody clones targeting different epitopes

  • Include appropriate controls including deletion mutants

  • Complement antibody-based quantification with orthogonal methods like mass spectrometry

  • Develop standard curves using purified proteins when possible

  • Report relative rather than absolute quantities when calibration is uncertain

How do research findings on OmcA localization compare between different experimental techniques?

Different techniques for studying OmcA localization provide complementary information, but sometimes with apparent contradictions that require careful interpretation:

TechniqueKey Findings on OmcA LocalizationStrengthsLimitations
Antibody Recognition Force Microscopy (Ig-RFM)Localized to cell exterior and preferentially at mineral interfaces; associated with EPS Direct visualization on living cells; nanoscale resolutionLimited to surface-accessible epitopes; potential artifacts from tip-sample interactions
Fluorescence Microscopy with labeled antibodiesConfirms outer membrane localization; enables visualization in cell populationsAllows high-throughput analysis; compatible with live imagingLower resolution; potential artifacts from fixation
Fractionation & Western BlottingConfirms presence in outer membrane fractions; allows quantificationBiochemical validation of localization; quantitative potentialDisrupts native context; potential cross-contamination between fractions
Protease Accessibility StudiesConfirms surface exposure of certain domainsProvides topological informationLimited to accessible regions; potential for incomplete digestion

The most comprehensive understanding comes from integrating multiple approaches. For example, the Ig-RFM findings showing OmcA at the cell-mineral interface are strengthened when combined with biochemical studies confirming its outer membrane localization and protease accessibility data indicating surface exposure. When apparent contradictions arise, researchers should consider differences in sample preparation, growth conditions, and the specific aspects of localization being measured by each technique.

How can we distinguish between specific and non-specific binding events in OmcA antibody experiments?

Distinguishing specific from non-specific binding is critical for accurate data interpretation in antibody-based studies of OmcA. Multiple methodological approaches can help make this distinction:

  • Force curve analysis: In Ig-RFM experiments, specific antibody-antigen interactions show characteristic force-distance curves with distinctive unbinding signatures, while non-specific adhesion events typically show different patterns . Specific interactions often exhibit:

    • Single or multiple discrete unbinding events

    • Force distributions centered around expected antibody-antigen unbinding forces (typically 50-200 pN)

    • Characteristic loading rate dependencies

  • Genetic controls: Comparing binding events between wild-type and ΔomcA mutant strains provides a powerful control. Lower et al. demonstrated that binding events were significantly reduced when probing ΔomcA ΔmtrC double mutant cells compared to wild-type cells .

  • Competitive blocking: Adding free antibodies (0.1 μM) to the imaging fluid blocks specific binding sites. This approach was used effectively to demonstrate specificity of OmcA detection, resulting in decreased adhesion between antibody-functionalized tips and cell surfaces .

  • Unbaited tip controls: Using AFM tips conjugated with the PEG linker but not functionalized with antibodies helps establish baseline non-specific interactions .

By implementing these methodological controls, researchers can confidently attribute observed binding events to specific OmcA recognition rather than non-specific interactions with other cell surface components.

What are emerging techniques for studying OmcA using antibody-based approaches?

Several innovative antibody-based techniques are emerging that promise to advance our understanding of OmcA:

  • Super-resolution microscopy with OmcA antibodies: Techniques like STORM (Stochastic Optical Reconstruction Microscopy) and PALM (Photoactivated Localization Microscopy) combined with fluorescently-labeled anti-OmcA antibodies can provide nanoscale resolution of OmcA distribution on bacterial surfaces, surpassing the diffraction limit of conventional light microscopy.

  • Correlative light and electron microscopy (CLEM): This approach combines the specificity of antibody-based fluorescence microscopy with the ultrastructural context provided by electron microscopy, allowing researchers to precisely localize OmcA within the cellular ultrastructure.

  • Single-molecule tracking: Using quantum dot-conjugated antibody fragments to track individual OmcA molecules in living cells can reveal dynamic aspects of OmcA function and movement that are not accessible with static imaging approaches.

  • Proximity labeling techniques: Methods like APEX2 or BioID fused to anti-OmcA antibody fragments can identify proteins in close proximity to OmcA, revealing its interaction network on the cell surface.

  • Cryo-electron tomography with immunogold labeling: This technique can provide 3D visualization of OmcA in its native cellular context with nanometer precision, potentially revealing structural details of OmcA-mediated electron transfer complexes.

These emerging techniques will help address key questions about the dynamic behavior, structural organization, and functional interactions of OmcA in bacterial electron transfer processes.

How does environmental variation affect OmcA expression and antibody detection efficiency?

The expression of OmcA and the efficiency of its detection using antibodies can be significantly influenced by environmental conditions, presenting important considerations for experimental design:

  • Terminal electron acceptor effects: The type of terminal electron acceptor (TEA) used for growth significantly affects OmcA expression levels. Cells grown with Fe(III) as the TEA show robust expression of OmcA on the exterior surface, while growth with other electron acceptors may alter expression patterns .

  • Oxygen exposure concerns: Since Shewanella oneidensis MR-1 is a facultative anaerobe, exposure to oxygen during sample preparation or analysis may alter protein conformation or expression, potentially affecting antibody recognition and binding efficiency.

  • Growth phase considerations: The expression of outer membrane cytochromes varies with growth phase. Standardizing cell collection at mid-log phase helps ensure consistent results when using antibody-based detection methods .

  • Media composition effects: Trace metals, particularly iron, can influence cytochrome expression. Iron limitation or supplementation may alter OmcA levels and localization patterns, affecting antibody detection efficiency.

  • Biofilm versus planktonic states: Cells in biofilms versus planktonic culture may exhibit different patterns of OmcA expression and accessibility to antibodies, requiring different sample preparation approaches.

To account for these variables, researchers should:

  • Clearly document and standardize growth conditions

  • Include appropriate controls for each environmental condition tested

  • Consider using internal standards for normalization across different conditions

  • Validate antibody detection efficiency under each specific experimental condition

  • Interpret quantitative comparisons between different environmental conditions with caution

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