yjhH Antibody

Shipped with Ice Packs
In Stock

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
yjhH antibody; b4298 antibody; JW5775 antibody; Probable 2-dehydro-3-deoxy-D-pentonate aldolase YjhH antibody; EC 4.1.2.28 antibody
Target Names
yjhH
Uniprot No.

Target Background

Function
YjhH antibody functions as a 2-dehydro-3-deoxy-D-pentonate aldolase.
Database Links
Protein Families
DapA family
Subcellular Location
Cytoplasm.

Q&A

How can I properly validate a yjhH antibody before using it in experiments?

Proper antibody validation requires multiple complementary approaches, following the "five pillars" framework:

  • Genetic strategies: Test antibody against yjhH knockout E. coli strains. The absence of signal confirms specificity.

  • Orthogonal strategies: Compare results with antibody-independent methods (e.g., mass spectrometry).

  • Independent antibody validation: Use multiple antibodies targeting different epitopes of yjhH.

  • Expression validation: Test antibody against samples with increased yjhH expression.

  • Immunocapture MS: Identify proteins captured by the antibody using mass spectrometry.

For yjhH specifically, using knockout validation is particularly effective, as YCharOS studies showed KO cell lines are superior to other controls, especially for immunofluorescence applications .

What specific controls should be included when validating a yjhH antibody?

Control TypeImplementationPurpose
Negative genetic controlyjhH knockout E. coli strainConfirms antibody specificity
Positive controlRecombinant yjhH proteinVerifies antibody functionality
Cross-reactivity controlRelated aldolases from E. coliAssesses potential cross-reactivity
Loading controlHousekeeping protein (e.g., RNA polymerase)Ensures equal sample loading
Secondary antibody controlSample without primary antibodyDetects non-specific binding

When validating by Western blot, include lysates from wild-type and yjhH-deficient strains in adjacent lanes to directly compare signals. For immunofluorescence, prepare mixed samples of wild-type and knockout cells to ensure identical processing conditions .

How do monoclonal, polyclonal, and recombinant antibodies against yjhH compare in research applications?

Comparative performance characteristics of antibody types for yjhH detection:

CharacteristicPolyclonalMonoclonalRecombinant
SpecificityModerate (recognizes multiple epitopes)High (single epitope)Very high (engineered specificity)
Batch-to-batch consistencyLowHighVery high
Production complexityLowModerateHigh
Epitope accessibilityHigh (multiple epitopes)Limited (single epitope)Customizable
Cross-reactivity riskHigherLowerLowest

Recent studies demonstrated that recombinant antibodies outperformed both monoclonal and polyclonal antibodies across multiple assays . For yjhH specifically, recombinant antibodies offer superior reproducibility and can be engineered for enhanced specificity against this bacterial protein, which is particularly valuable when working with complex bacterial extracts containing similar aldolases.

What are the optimal conditions for using yjhH antibodies in Western blot analysis?

Optimized Western blot protocol for yjhH detection:

  • Sample preparation:

    • Lyse E. coli cells in buffer containing 50 mM Tris-HCl (pH 8.0), 150 mM NaCl, 1% Triton X-100, and protease inhibitors

    • Sonicate briefly (3 × 10s pulses) to ensure complete lysis

    • Centrifuge at 12,000 × g for 15 minutes at 4°C

  • Gel electrophoresis:

    • Use 12% SDS-PAGE (yjhH is ~33 kDa)

    • Load 20-30 μg total protein per lane

  • Transfer conditions:

    • Semi-dry transfer: 15V for 30 minutes

    • Wet transfer: 100V for 1 hour at 4°C

    • Use PVDF membrane (0.45 μm pore size)

  • Blocking:

    • 5% non-fat dry milk in TBST (TBS + 0.1% Tween-20) for 1 hour at room temperature

  • Primary antibody:

    • Dilution: 1:1000-1:2000 in 5% BSA/TBST

    • Incubate overnight at 4°C

  • Secondary antibody:

    • Anti-species HRP-conjugated antibody (1:5000)

    • Incubate for 1 hour at room temperature

  • Detection:

    • Enhanced chemiluminescence

    • Expected band: ~33 kDa

Note: When troubleshooting, adjusting the primary antibody concentration is often more effective than extending incubation time .

How can I design an immunofluorescence protocol to study yjhH localization in E. coli?

Optimized immunofluorescence protocol for yjhH visualization:

  • Sample preparation:

    • Grow E. coli to mid-log phase (OD600 0.4-0.6)

    • Harvest 1 mL culture by centrifugation (5,000 × g, 5 min)

    • Wash twice with PBS

  • Fixation:

    • Resuspend in 4% paraformaldehyde in PBS for 15 minutes at room temperature

    • Wash three times with PBS

  • Permeabilization:

    • Treat with 0.1% Triton X-100 in PBS for 5 minutes

    • Wash three times with PBS

  • Blocking:

    • Incubate with 2% BSA in PBS for 30 minutes

  • Primary antibody:

    • Apply yjhH antibody (1:100-1:500 dilution) in 1% BSA/PBS

    • Incubate for 2 hours at room temperature or overnight at 4°C

  • Secondary antibody:

    • Apply fluorophore-conjugated secondary antibody (1:500)

    • Incubate for 1 hour at room temperature in the dark

  • Counterstaining:

    • Add DAPI (1 μg/mL) for nuclear visualization

    • Incubate for 5 minutes

  • Mounting and visualization:

    • Mount cells on poly-L-lysine-coated slides

    • Visualize using confocal microscopy

This protocol has been adapted from successful approaches used to visualize bacterial proteins in research examining the distribution of RNA polymerase in E. coli, where submembrane and cytoplasmic distributions were distinguished .

What methods enable the use of yjhH antibodies for co-immunoprecipitation studies?

For effective co-immunoprecipitation of yjhH and its interacting partners:

  • Cross-linking (optional):

    • Treat cells with 1% formaldehyde for 10 minutes to stabilize transient interactions

    • Quench with 125 mM glycine for 5 minutes

  • Cell lysis:

    • Use gentle lysis buffer: 20 mM HEPES (pH 7.4), 150 mM NaCl, 0.5% NP-40, with protease inhibitors

    • Perform lysis at 4°C for 30 minutes with gentle rotation

  • Pre-clearing:

    • Incubate lysate with Protein A/G beads for 1 hour at 4°C

    • Remove beads by centrifugation (1,000 × g, 5 min)

  • Immunoprecipitation:

    • Add 2-5 μg yjhH antibody to pre-cleared lysate

    • Incubate overnight at 4°C with gentle rotation

    • Add fresh Protein A/G beads and incubate for 2 hours at 4°C

    • Wash beads 4-5 times with wash buffer (lysis buffer with reduced detergent)

  • Elution:

    • For non-denaturing: use excess antigenic peptide

    • For denaturing: use SDS sample buffer and heat at 95°C for 5 minutes

  • Analysis:

    • Western blot for known interactors

    • Mass spectrometry for unbiased discovery of novel interactions

This method has been validated for studying protein-protein interactions in E. coli and can reveal associations between yjhH and other metabolic enzymes or regulatory proteins .

How can yjhH antibodies be utilized to study changes in protein expression during metabolic stress?

To analyze yjhH expression changes under metabolic stress:

  • Experimental design:

    • Subject E. coli cultures to relevant stressors (nutrient limitation, oxidative stress, carbon source shifts)

    • Collect samples at multiple time points (0, 15, 30, 60, 120 minutes)

  • Quantitative Western blot:

    • Process samples as described in section 2.1

    • Include internal loading control (housekeeping protein)

    • Use fluorescent secondary antibodies for more accurate quantification

    • Analyze band intensities using software like ImageJ

  • Flow cytometry approach:

    • Fix and permeabilize cells as described in section 2.2

    • Stain with yjhH primary antibody and fluorescent secondary antibody

    • Analyze population-level expression changes with single-cell resolution

  • Data analysis:

    • Normalize yjhH expression to control protein

    • Plot expression changes over time for each condition

    • Perform statistical analysis to identify significant changes

This approach was effectively used to monitor expression changes of metabolic enzymes in E. coli during shifts in carbon source availability, revealing how bacteria reprogram their central metabolism during adaptation .

What computational approaches can improve the design of yjhH-specific antibodies?

Advanced computational methods can enhance yjhH antibody design:

  • Epitope prediction and optimization:

    • Use bioinformatic tools to identify unique epitopes in yjhH not present in related E. coli proteins

    • Analyze protein structure to select surface-exposed regions

    • Evaluate epitope conservation across E. coli strains

  • Biophysics-informed modeling:

    • Apply machine learning models trained on experimental antibody-antigen interaction data

    • Identify and disentangle multiple potential binding modes

    • Optimize paratope residues for increased specificity and affinity

  • Computational validation:

    • Perform molecular dynamics simulations to assess binding stability

    • Calculate binding energy to predict antibody-antigen affinity

    • Model potential cross-reactivity with structurally similar proteins

Recent research demonstrated how machine learning approaches can successfully predict antibody specificity and enable the design of antibodies with customized specificity profiles . For example:

Design ApproachBinding SpecificityCross-ReactivityAffinity (KD)
Traditional epitope selectionModerateVariable10-100 nM
Structure-guided designHighLow1-10 nM
ML-optimized designVery highMinimal0.1-1 nM

Computational approaches can identify optimal CDR sequences that maximize specificity for yjhH while minimizing cross-reactivity with related bacterial proteins .

How can functional assays be developed to study yjhH enzymatic activity using antibody-based approaches?

To study yjhH enzymatic function using antibody-based approaches:

  • Activity-preserving immunoprecipitation:

    • Use gentle conditions during IP (as described in section 2.3)

    • Maintain native protein conformation with non-denaturing elution

    • Perform enzyme activity assays directly on immunoprecipitated protein

  • Antibody inhibition assays:

    • Test whether antibody binding affects enzyme activity

    • Incubate purified yjhH with varying antibody concentrations

    • Measure aldolase activity using spectrophotometric assays

    • Calculate IC50 values to quantify inhibitory potency

  • In situ enzyme activity visualization:

    • Develop coupled enzyme assays that produce fluorescent or colorimetric products

    • Combine with immunofluorescence to correlate yjhH localization with activity

    • Use fluorescence microscopy to visualize spatial distribution of enzyme activity

  • Biosensor development:

    • Engineer antibody fragments conjugated to reporter molecules

    • Create FRET-based sensors using antibody-antigen interactions

    • Monitor yjhH conformational changes during catalysis

These approaches have been successfully applied to study enzyme kinetics in vivo for various metabolic enzymes and can provide insights into how yjhH function relates to its cellular localization and interaction partners .

How can I resolve cross-reactivity issues with yjhH antibodies?

To address cross-reactivity with yjhH antibodies:

  • Identify the source of cross-reactivity:

    • Perform Western blot with wild-type and yjhH knockout E. coli

    • Analyze unexpected bands by mass spectrometry

    • Compare protein sequences of cross-reactive proteins with yjhH

  • Antibody purification strategies:

    • Affinity purification against recombinant yjhH protein

    • Negative selection against cross-reactive proteins

    • Epitope-specific purification using synthetic peptides

  • Blocking strategies:

    • Pre-incubate antibody with recombinant cross-reactive proteins

    • Add competing peptides corresponding to cross-reactive epitopes

    • Optimize blocking buffer composition (BSA vs. milk, concentration)

  • Alternative antibody selection:

    • Test antibodies targeting different epitopes of yjhH

    • Consider recombinant antibodies with engineered specificity

    • Evaluate monoclonal vs. polyclonal options

Cross-reactivity is particularly common with bacterial proteins due to conserved domains. A systematic approach involving all these strategies significantly reduced cross-reactivity in antibodies targeting E. coli proteins in previous studies .

What factors affect reproducibility in yjhH antibody experiments and how can they be controlled?

Critical factors affecting reproducibility and their solutions:

FactorImpactMitigation Strategy
Antibody qualityVariable detectionUse characterized antibodies with validation data
Lot-to-lot variationInconsistent resultsTest each new lot against reference samples
Sample preparationAltered epitope accessibilityStandardize lysis and processing protocols
Fixation conditionsChanged protein conformationOptimize fixation for epitope preservation
Blocking efficiencyNonspecific backgroundTest multiple blocking agents and concentrations
Detection systemsSignal variabilityUse calibration standards for quantification
E. coli strain differencesProtein variationControl for strain-specific effects

To maximize reproducibility:

  • Document extensively: Record all experimental details including antibody lot numbers, dilutions, and incubation times

  • Use internal controls: Include consistent positive and negative controls in every experiment

  • Standardize protocols: Develop detailed SOPs for sample preparation, antibody application, and detection

  • Consider automated systems: Reduce human variation through automation where possible

  • Conduct inter-laboratory validation: Confirm key findings across different research settings

A systematic approach to these factors has been shown to significantly improve reproducibility in antibody-based experiments according to studies on antibody validation methodologies .

How can low signal issues with yjhH antibodies be diagnosed and resolved?

When encountering low signal problems:

  • Systematic diagnosis:

    • Test antibody with positive control (recombinant yjhH)

    • Verify target protein expression in your samples

    • Check detection system functionality with established antibodies

    • Assess buffer compatibility and storage conditions

  • Signal enhancement strategies:

    For Western blot:

    • Increase protein loading (up to 50-75 μg per lane)

    • Extend primary antibody incubation (overnight at 4°C)

    • Use signal enhancing systems (amplified HRP substrates)

    • Try more sensitive detection methods (chemiluminescence → fluorescence)

    For immunofluorescence:

    • Optimize fixation to preserve epitope (test multiple fixatives)

    • Increase permeabilization efficiency

    • Use tyramide signal amplification

    • Employ confocal microscopy with enhanced sensitivity settings

  • Antibody optimizations:

    • Titrate antibody concentration (test 2-5× recommended concentration)

    • Reduce washing stringency (decrease detergent concentration)

    • Try alternative secondary antibodies

    • Consider using antibody fragments for better penetration

An experimental approach testing these variables systematically often resolves low signal issues, as demonstrated in studies optimizing detection protocols for bacterial antigens .

How can yjhH antibodies be used to study bacterial protein localization during different growth phases?

To track yjhH localization across growth phases:

  • Time-course experimental design:

    • Establish synchronized E. coli cultures

    • Sample at defined points: lag, early-log, mid-log, late-log, stationary phases

    • Process samples in parallel for consistent comparison

  • Subcellular fractionation approach:

    • Separate periplasmic, cytoplasmic, and membrane fractions

    • Perform Western blot analysis with yjhH antibodies on each fraction

    • Use compartment-specific markers as controls (OmpA for outer membrane, MalE for periplasm, GroEL for cytoplasm)

    • Quantify relative distribution across compartments

  • High-resolution imaging:

    • Perform immunofluorescence as described in section 2.2

    • Use super-resolution microscopy (STED, STORM, or PALM)

    • Conduct z-stack imaging to create 3D reconstructions

    • Apply deconvolution algorithms to enhance resolution

  • Quantitative analysis:

    • Measure fluorescence intensity profiles across cell dimensions

    • Calculate colocalization coefficients with subcellular markers

    • Perform cluster analysis to identify protein aggregation patterns

    • Track changes in localization patterns across growth phases

This approach revealed how the distribution of RNA polymerase and associated proteins changes during different growth phases in E. coli, and similar approaches can be applied to yjhH .

What approaches enable integration of yjhH antibody data with metabolomic profiles?

To correlate yjhH protein levels with metabolic function:

  • Integrated experimental design:

    • Collect parallel samples for antibody-based protein quantification and metabolomics

    • Include time-course analysis during metabolic transitions

    • Manipulate yjhH expression (knockdown, overexpression) to establish causality

  • Multi-omics data collection:

    • Quantify yjhH levels using quantitative Western blot or ELISA

    • Perform targeted metabolomics focusing on pentose metabolism intermediates

    • Measure flux through relevant pathways using 13C-labeled substrates

  • Data integration methods:

    • Calculate Pearson or Spearman correlations between yjhH levels and metabolite concentrations

    • Perform pathway enrichment analysis to identify affected metabolic modules

    • Apply multivariate statistical methods (PCA, PLS-DA) to identify patterns

  • Visualization approaches:

    • Create pathway maps highlighting correlations between yjhH and metabolites

    • Develop heat maps showing temporal changes in protein-metabolite relationships

    • Use network analysis to visualize protein-metabolite interactions

This integrated approach successfully revealed how changes in enzyme abundance correlate with metabolic flux alterations during carbon source shifts in E. coli .

How can antibodies against yjhH contribute to understanding chaperonin-dependent substrate identification?

yjhH antibodies can aid in studying potential chaperonin dependence:

  • Co-chaperone interaction analysis:

    • Perform co-immunoprecipitation with yjhH antibodies followed by Western blot for chaperones (GroEL, DnaK)

    • Conduct reverse co-IP with chaperone antibodies and probe for yjhH

    • Use proximity ligation assays to visualize protein-protein interactions in situ

  • Chaperone dependence assessment:

    • Compare yjhH solubility in wild-type vs. chaperone-depleted strains

    • Quantify yjhH aggregation using antibody-based detection in inclusion body fractions

    • Analyze yjhH folding kinetics in presence/absence of chaperones

  • Advanced experimental approaches:

    • Develop pulse-chase experiments with antibody capture to track yjhH folding states

    • Create split-GFP complementation assays combined with antibody-based pulldowns

    • Use hydrogen-deuterium exchange mass spectrometry with antibody enrichment

Studies on chaperonin-dependent substrates in E. coli have shown that GroEL/ES chaperonins are required for proper folding of approximately 250 E. coli proteins. Determining whether yjhH falls into this category would provide insights into its folding requirements and potential classification as a Class III substrate requiring chaperonin assistance for proper folding .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.