ynfF 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
ynfF antibody; b1588 antibody; JW5260 antibody; Probable dimethyl sulfoxide reductase chain YnfF antibody; DMSO reductase antibody; EC 1.8.99.- antibody
Target Names
ynfF
Uniprot No.

Target Background

Function
Functions as a terminal reductase during anaerobic growth on various sulfoxide and N-oxide compounds.
Database Links
Protein Families
Prokaryotic molybdopterin-containing oxidoreductase family
Subcellular Location
Cell membrane; Peripheral membrane protein; Cytoplasmic side.

Q&A

What is ynfF and why are antibodies against it important for research?

YnfF is a bacterial protein from Escherichia coli that functions as a probable dimethyl sulfoxide (DMSO) reductase. It serves as a terminal reductase during anaerobic growth on various sulfoxide and N-oxide compounds. According to NCBI annotations, ynfF is a verified Tat (Twin-arginine translocation) substrate with high similarity to DmsA, the catalytic subunit of the dimethyl sulfoxide reductase heterotrimer .

YnfF antibodies are valuable research tools for:

  • Studying protein translocation mechanisms via the Tat pathway

  • Investigating anaerobic metabolism in bacteria

  • Examining protein export systems in biotechnology applications

  • Understanding bacterial adaptations to different growth conditions

The protein has a molecular weight of approximately 90 kDa and is involved in the selenocompound metabolism pathway . Its role in the Tat pathway makes it particularly interesting for researchers studying protein secretion mechanisms in bacteria.

How should I validate the specificity of an ynfF antibody for research applications?

Validating an ynfF antibody requires a systematic approach to ensure specificity, especially given its similarity to other bacterial proteins like DmsA:

Critical validation steps:

  • Genetic controls:

    • Compare wild-type E. coli with an ynfF knockout strain by Western blot

    • Use recombinant expression systems with and without ynfF

  • Cross-reactivity assessment:

    • Test against purified recombinant ynfF protein

    • Evaluate potential cross-reactivity with DmsA and other similar proteins

    • Perform peptide competition assays

  • Application-specific validation:

    • Western blot: Confirm single band at expected molecular weight (~90 kDa)

    • Immunoprecipitation: Verify ability to enrich ynfF from bacterial lysates

    • Immunofluorescence: Confirm expected localization pattern

  • Documentation matrix:

Validation ParameterTest MethodExpected ResultInterpretation
SpecificityWestern blot of WT vs. ΔynfFBand present in WT, absent in ΔynfFSpecific binding
Cross-reactivityWestern blot with purified DmsAMinimal or no binding to DmsALow cross-reactivity
SensitivityDilution series of recombinant ynfFDetection limit <10 ngAdequate sensitivity
Application versatilityTesting in multiple techniquesConsistent performanceVersatile reagent

As highlighted in search result , "The only way to minimize non-specific binding in an experiment is through proper experimental design and qualification of the reagents."

What controls should be included when using ynfF antibodies in experiments?

Including appropriate controls is essential when working with ynfF antibodies to ensure reliable data interpretation:

Essential experimental controls:

  • Positive controls:

    • Recombinant ynfF protein

    • E. coli strains overexpressing ynfF

    • Anaerobic cultures (where ynfF expression is higher)

  • Negative controls:

    • ynfF knockout strains

    • Pre-immune serum (for polyclonal antibodies)

    • Secondary antibody-only controls

    • Peptide competition controls (antibody pre-incubated with immunizing peptide)

  • Specificity controls:

    • Testing in DmsA knockout strains (to eliminate cross-reactivity concerns)

    • Isotype controls for monoclonal antibodies

    • Testing in aerobic conditions (where ynfF expression may be downregulated)

  • Technique-specific controls:

    • Western blotting: Loading controls (RNA polymerase β subunit)

    • Immunoprecipitation: Non-specific IgG from same host species

    • Immunofluorescence: Pre-immune serum or irrelevant antibodies

According to search result , "With the added emphasis on reproducibility, it is critical to look at every step where experiments can be improved. No single step makes an experiment more reproducible. Rather, it is a process of making changes at each stage that leads to reproducibility."

How does the Tat secretion pathway affect experimental design when studying ynfF?

The Twin-arginine translocation (Tat) pathway transports folded proteins across the cytoplasmic membrane, which has important implications for ynfF research:

Key considerations for experimental design:

  • Subcellular localization experiments:

    • YnfF can be found in both cytoplasmic and periplasmic fractions

    • Cell fractionation protocols must preserve membrane integrity

    • Controls should include other Tat substrates and non-Tat proteins

  • Expression conditions:

    • Tat pathway capacity can become saturated under overexpression conditions

    • Co-expression of Tat machinery components may be necessary

    • Anaerobic conditions typically increase ynfF expression

  • Signal peptide considerations:

    • The ynfF signal peptide contains the twin-arginine motif critical for Tat recognition

    • Mutations in this motif can redirect proteins to alternative pathways

    • Alternative signal peptides (AmiC, MdoD) can enhance secretion efficiency

  • Sample preparation impact:

    • Periplasmic extraction methods must be optimized to avoid cytoplasmic contamination

    • Membrane association may require detergent optimization

    • Native conformation preservation is crucial for functional studies

According to search result : "Alternative signal peptides namely AmiC and MdoD allow highly efficient secretion of a disulphide bond-containing protein (YebF) to the periplasm of E. coli via Tat with CyDisCo. We report that these signal peptides are far more efficient than the well-known Tat specific TorA signal peptide."

What are the best methods for detecting ynfF expression in bacterial samples?

Detecting ynfF expression requires consideration of its expression pattern, localization, and biochemical properties:

Recommended detection methods:

  • Western blotting:

    • Most common technique for ynfF detection

    • Sample preparation: Gentle lysis methods to preserve protein integrity

    • Gel concentration: 8-10% gels for optimal resolution of ~90 kDa protein

    • Blocking: 5% BSA often superior to milk for bacterial reductases

  • Quantitative PCR:

    • For transcriptional analysis of ynfF expression

    • Requires carefully designed primers specific to ynfF, not cross-reactive with dmsA

    • Reference genes should be stable under tested conditions

  • Activity-based assays:

    • DMSO reduction assay to correlate antibody detection with enzyme activity

    • Can distinguish active protein from inactive forms

    • Useful for confirming functional expression

  • Protocol optimization tips:

ParameterRecommended ApproachRationale
Lysis bufferMild detergents (0.1% Triton X-100)Preserves protein structure and activity
Reducing agentsInclude DTT or β-mercaptoethanolPrevents oxidation of catalytic site
Concentration methodAvoid heat precipitationTerminal reductases can be heat-sensitive
Detection systemECL-based chemiluminescenceGood balance of sensitivity and specificity
Antibody dilution1:1000-1:5000 range (optimize)Depends on antibody affinity and specificity

For challenging samples, combining antibody detection with mass spectrometry-based approaches can provide complementary evidence of ynfF expression and modification state.

How can I distinguish between ynfF and DmsA proteins given their high sequence similarity?

Differentiating between ynfF and DmsA presents a significant challenge due to their structural and functional similarities, but several strategic approaches can help:

Differential detection strategies:

  • Epitope-targeted antibodies:

    • Generate antibodies against regions with lowest sequence homology

    • Target unique post-translational modification sites

    • Develop conformation-specific antibodies that recognize structural differences

  • Genetic approaches:

    • Use knockout strains (ΔynfF or ΔdmsA) as definitive controls

    • Create epitope-tagged versions for selective detection

    • Employ CRISPR interference for selective knockdown

  • Expression pattern analysis:

    • YnfF and DmsA show different expression patterns under certain conditions

    • DmsA is typically more abundant during anaerobic growth with DMSO

    • YnfF may predominate under different electron acceptor conditions

  • Mass spectrometry discrimination:

    • Identify peptides unique to each protein

    • Use targeted proteomics (PRM/SRM) for specific detection

    • Quantify relative abundance of distinguishing peptides

Differential detection workflow:

  • Generate antibodies against unique peptides

  • Validate using genetic controls:

SampleAnti-ynfF Peptide AntibodyAnti-DmsA Peptide AntibodyInterpretation
Wild-type++Both proteins detected
ΔynfF-+ynfF-specific antibody confirmed
ΔdmsA+-DmsA-specific antibody confirmed
ΔynfFΔdmsA--Complete specificity
  • Apply conditional expression to further confirm:

    • Test under conditions favoring ynfF vs. DmsA expression

    • Compare expression patterns with genetic expectations

    • Use complementation to restore signal in knockout strains

What techniques can I use to study the interaction between ynfF and the Tat translocation machinery?

Investigating the interactions between ynfF and the Tat machinery requires specialized approaches to capture these often transient and dynamic associations:

Advanced interaction analysis techniques:

  • In vivo cross-linking approaches:

    • Chemical cross-linking with membrane-permeable reagents

    • Photo-activatable cross-linkers for temporal control

    • In vivo site-specific cross-linking using unnatural amino acid incorporation

  • Co-immunoprecipitation strategies:

    • Sequential IP: First with anti-TatC, then anti-ynfF antibodies

    • IP under different detergent and salt conditions to preserve interactions

    • Quantitative MS analysis of co-precipitated proteins

  • Proximity-based labeling:

    • TurboID or APEX2 fusions to ynfF or Tat components

    • BioID-based mapping of the ynfF interaction neighborhood

    • APEX-mediated electron microscopy visualization

  • Real-time interaction monitoring:

    • FRET pairs on ynfF and Tat components

    • Split-GFP complementation systems

    • Single-molecule tracking in living cells

  • Structural analysis of complexes:

    • Cryo-EM of purified Tat-ynfF complexes

    • Hydrogen-deuterium exchange MS to map interaction interfaces

    • Integrative modeling combining crosslinking, EM, and biochemical data

Experimental design example - Tat interaction mapping:

ApproachTechnical SetupExpected OutcomeControls
Sequential IPAnti-TatC IP followed by anti-ynfF detectionCo-precipitation indicates interactionΔtatC strain as negative control
BioID proximity labelingTatC-BioID fusion expressionBiotinylation of ynfF during transportSignal peptide mutant of ynfF
Site-specific crosslinkingAmber suppression to insert crosslinker at ynfF signal peptideTatC crosslinksNon-crosslinkable ynfF variant
HDX-MSPurified components with deuterium labelingProtection patterns at interaction sitesFree components as reference

According to search result : "Research work presented in this thesis suggests that the Tat pathway and the CyDisCo system are attractive platforms for biotechnology and establishes highly efficient Tat-dependent secretion of disulphide-bonded protein YebF to the E. coli periplasm."

How can ynfF antibodies be used to study conformational changes during catalytic activity?

YnfF, as a redox enzyme, undergoes significant conformational changes during its catalytic cycle. Antibody-based approaches can provide unique insights into these structural dynamics:

Conformational analysis strategies:

  • Conformation-specific antibody development:

    • Generate antibodies against distinct conformational states (reduced/oxidized)

    • Screen antibody libraries under different conditions to identify state-specific binders

    • Use structural information to target regions with predicted conformational flexibility

  • Differential accessibility analysis:

    • Compare epitope accessibility in different enzymatic states

    • Use partial proteolysis combined with antibody detection

    • Apply hydrogen-deuterium exchange with antibody capture

  • Real-time conformational monitoring:

    • Apply antibodies in native gel electrophoresis

    • Use ELISA-based approaches with conformation-specific antibodies

    • Develop antibody-based FRET sensors for live monitoring

  • Structure-function correlation:

    • Correlate antibody binding with enzyme activity measurements

    • Map conformational changes to catalytic cycle stages

    • Identify conditions that stabilize specific conformations

Experimental workflow for conformational analysis:

  • Generate antibody panel against ynfF

  • Screen for differential binding under various conditions:

    • Native vs. denatured

    • Oxidized vs. reduced states

    • Substrate-bound vs. substrate-free

    • Various pH and salt conditions

  • Conformational state mapping example:

Antibody CloneBinding to Reduced ynfFBinding to Oxidized ynfFBinding to Substrate-BoundInterpretation
mAb-Y1StrongWeakWeakReduced state-specific
mAb-Y2WeakStrongModerateOxidized state-specific
mAb-Y3StrongStrongWeakSubstrate-binding sensitive
mAb-Y4StrongStrongStrongConformation-independent
  • Apply to study catalytic mechanism:

    • Monitor conformational changes during substrate turnover

    • Identify rate-limiting conformational changes

    • Map electron transfer pathways through protein structure

This approach can reveal important insights about how ynfF functions at the molecular level and how its activity is regulated under different environmental conditions.

What are the optimal conditions for immunoprecipitating ynfF from bacterial cultures?

Immunoprecipitating ynfF presents unique challenges due to its membrane association, redox-sensitive nature, and participation in protein complexes. Optimizing IP conditions is crucial for success:

Optimized immunoprecipitation protocol:

  • Cell growth and harvest:

    • Grow E. coli under anaerobic conditions to maximize ynfF expression

    • Harvest at mid-log phase (OD600 ~0.6-0.8) for optimal yield

    • Process samples rapidly to minimize oxidation

  • Lysis buffer optimization:

    • Base buffer: 50 mM Tris-HCl pH 7.5, 150 mM NaCl

    • Detergent: 1% Digitonin or 0.5% DDM (milder than Triton X-100)

    • Reducing agent: 1-5 mM DTT or TCEP (essential for reductases)

    • Protease inhibitors: Complete protease inhibitor cocktail

    • Optional: 10% glycerol for stabilization

  • Antibody coupling strategies:

    • Direct coupling to magnetic beads for cleaner background

    • Protein A/G beads for flexibility with different antibodies

    • Crosslink antibodies to beads to prevent co-elution

  • Pre-clearing optimization:

    • Extensive pre-clearing with non-specific IgG (2 hours minimum)

    • Include unconjugated beads to remove non-specific binders

    • Filter lysates through 0.45 μm filter to remove aggregates

  • IP conditions optimization:

    • Temperature: 4°C throughout the procedure

    • Incubation time: 4 hours to overnight

    • Washing: 4-5 washes with decreasing detergent concentration

    • Elution: Native elution with specific peptide or pH elution

Comparison of lysis conditions for ynfF IP:

Lysis ConditionynfF RecoveryComplex PreservationBackgroundBest For
Digitonin 1%++++++LowProtein-protein interactions
DDM 0.5%+++++Low-MediumBalance of yield and interactions
Triton X-100 0.5%+++++MediumMaximum protein recovery
CHAPS 1%++++LowMass spectrometry applications
SDS 0.1%+++++-HighMaximum stringency, no complexes
  • Validation steps:

    • Western blotting: Confirm ynfF enrichment in IP vs. input

    • Mass spectrometry: Verify protein identity and detect interactors

    • Activity assays: Test if immunoprecipitated ynfF retains function

This optimized protocol significantly improves the chances of successful ynfF immunoprecipitation from bacterial cultures and enables downstream applications such as interaction studies and functional analysis.

How can I use ynfF antibodies to investigate the relationship between Tat pathway efficiency and bacterial adaptations to environmental stress?

The Tat pathway plays a crucial role in bacterial adaptation to changing environments, and ynfF as a Tat substrate can serve as a model protein to study these processes:

Research approaches using ynfF antibodies:

  • Stress-response profiling:

    • Subject bacteria to various stresses (pH, temperature, oxidative, nutrient)

    • Use ynfF antibodies to quantify expression and localization changes

    • Correlate with Tat pathway component expression

  • Pathway efficiency measurement:

    • Develop assays to measure the ratio of cytoplasmic to periplasmic ynfF

    • Create a translocation efficiency index under different conditions

    • Compare ynfF translocation with other Tat substrates

  • Adaptation mechanisms investigation:

    • Study long-term adaptation to stress through sequential passages

    • Track changes in ynfF expression, modification, and translocation

    • Correlate with bacterial fitness measurements

  • Compartment-specific analysis:

    • Fractionate cells into cytoplasmic, membrane, and periplasmic components

    • Quantify ynfF in each fraction under different stress conditions

    • Track changes in post-translational modifications across compartments

Example experimental design - Oxidative stress response:

Stress ConditionMeasurementTechniqueExpected Result
H₂O₂ exposureTotal ynfF expressionWestern blotIncreased expression
H₂O₂ exposureCytoplasmic/periplasmic ratioFractionation + WBAltered translocation efficiency
H₂O₂ exposureTranslocation kineticsPulse-chase + IPSlower transport rate
H₂O₂ exposureTat component interactionCo-IPModified interaction pattern
H₂O₂ exposurePost-translational modificationsIP + MSIncreased oxidative modifications

Data integration framework:

  • Generate comprehensive dataset correlating stress conditions with:

    • ynfF expression levels

    • Translocation efficiency

    • Post-translational modifications

    • Protein-protein interactions

    • Bacterial growth and survival metrics

  • Develop mathematical models to predict:

    • Optimal Tat pathway operation under different stresses

    • Rate-limiting steps in protein export during stress

    • Potential intervention points to enhance bacterial adaptation

According to search result : "The Tat pathway of E. coli has recently garnered interest for the periplasmic export of folded biopharmaceuticals as it possesses a unique proofreading ability to export correctly folded proteins." This proofreading function may be particularly important under stress conditions when protein folding is compromised.

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