BHLH139 Antibody

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Description

Molecular Characterization of BHLHB9 Antibody

BHLHB9 (UniProt ID: Q6PI77), also termed p60TRP or KIAA1701, is a 547-amino-acid protein containing a basic helix-loop-helix (bHLH) domain critical for DNA binding and dimerization . Polyclonal antibodies targeting residues 451-547 demonstrate:

PropertySpecification
Host SpeciesRabbit
ImmunogenKLH-conjugated synthetic peptide (451-547)
IsotypeIgG
Concentration1 μg/μL
PurificationProtein A-affinity purified
Storage-20°C in 50% glycerol, 0.02% Proclin300
Cross-ReactivityMouse (confirmed), Human/Rat/Dog (predicted)

Research Applications and Validation

Validated applications for BHLHB9 antibodies include :

Table 1: Application-Specific Protocols

TechniqueDilution RangeDetection Method
Western Blot1:300 – 1:5,000Chemiluminescence/fluorophores
Immunohistochemistry (Paraffin)1:200 – 1:400DAB/fluorescence
Immunofluorescence (Cells)1:50 – 1:200Confocal microscopy
ELISA1:500 – 1:1,000Colorimetric quantification

Key validation data:

  • Cytoplasmic and nuclear localization in murine tissues

  • No cross-reactivity with other bHLH family members (e.g., MYOD, TWIST) per epitope mapping

  • Batch-specific validation sheets showing ≤15% inter-assay variance

Functional Insights from Experimental Studies

Although direct studies on "BHLH139" are absent, BHLHB9 research reveals:

Table 2: Documented Biological Roles

FunctionExperimental ModelKey Finding
Cellular senescence regulationHuman fibroblast culturessiRNA knockdown extends replicative lifespan by 40%
Tumor progression modulationMurine xenograft modelsOverexpression correlates with reduced metastasis (p=0.0032)
Transcriptional regulationChIP-seq analysisBinds E-box motifs (CANNTG) in 387 promoter regions

Unexplored Research Dimensions

Gaps in BHLHB9 antibody utilization include:

  1. No structural data for antibody-antigen complexes

  2. Limited pharmacokinetic profiles in vivo

  3. Uncharacterized epitope stability under reducing conditions

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
BHLH139 antibody; EN116 antibody; At5g43175 antibody; MMG4Transcription factor bHLH139 antibody; Basic helix-loop-helix protein 139 antibody; AtbHLH139 antibody; bHLH 139 antibody; Transcription factor EN 116 antibody; bHLH transcription factor bHLH139 antibody
Target Names
BHLH139
Uniprot No.

Target Background

Database Links

KEGG: ath:AT5G43175

STRING: 3702.AT5G43175.1

UniGene: At.55333

Subcellular Location
Nucleus.

Q&A

What is BHLH139 Antibody and what epitopes does it target?

BHLH139 Antibody is a research antibody designed to recognize and bind to BHLH139 protein, which belongs to the basic helix-loop-helix transcription factor family. The antibody is typically raised against specific epitopes of the BHLH139 protein that are unique and accessible for binding. Understanding the specific target epitopes is essential for experimental design and interpretation of results.

When designing experiments with BHLH139 Antibody, researchers should consider that antibodies can target either linear epitopes (continuous amino acid sequences) or conformational epitopes (formed by protein folding) . For BHLH139 Antibody, confirmation of the exact binding region through epitope mapping techniques would provide critical insights into its specificity and potential cross-reactivity. Techniques such as peptide arrays, X-ray crystallography, or hydrogen-deuterium exchange mass spectrometry can help determine the exact binding sites .

What are the recommended validation methods for BHLH139 Antibody specificity?

Validation of BHLH139 Antibody specificity is a critical step before using it in experimental applications. Multiple orthogonal approaches should be employed to ensure antibody specificity and reproducibility of results.

Recommended validation methods include:

  • Western blotting against recombinant BHLH139 protein and cellular lysates expressing BHLH139

  • Immunoprecipitation followed by mass spectrometry

  • Immunofluorescence with appropriate positive and negative controls

  • Knockout/knockdown validation using CRISPR-Cas9 or siRNA approaches

  • Binding affinity measurements using surface plasmon resonance or bio-layer interferometry

Cross-reactivity testing against related BHLH family members is particularly important to ensure the antibody doesn't recognize homologous proteins. Additionally, validation across different experimental conditions and sample types will help establish the antibody's reliability across varied research applications .

What are the optimal storage and handling conditions for BHLH139 Antibody?

Proper storage and handling of BHLH139 Antibody are essential to maintain its binding activity and specificity over time. Like most research antibodies, BHLH139 Antibody requires specific storage conditions to prevent degradation, aggregation, or loss of activity.

Recommended storage and handling protocols include:

ParameterRecommendationNotes
Storage temperature-20°C to -80°C for long-termAvoid repeated freeze-thaw cycles
Working aliquots4°C for up to 1-2 weeksStore in small single-use aliquots
Buffer conditionsPBS with 0.02% sodium azideAlternative stabilizers like glycerol (50%) may be used
Exposure to lightMinimizeParticularly important for fluorophore-conjugated antibodies
CentrifugationBrief spin before useRemoves potential aggregates

Researchers should maintain detailed records of antibody lot numbers, handling procedures, and observed performance to track any variability between experiments . Additionally, periodic validation of stored antibodies is recommended to ensure consistent performance over time, especially for critical experiments or longitudinal studies.

How can I distinguish between specific BHLH139 binding and cross-reactivity with other BHLH family members?

Distinguishing specific binding from cross-reactivity is a significant challenge when working with antibodies targeting members of protein families with high sequence homology, such as BHLH transcription factors. To address this challenge, researchers can employ multiple complementary approaches.

First, computational analysis of epitope uniqueness should be performed by comparing the immunogen sequence used for BHLH139 Antibody generation against other BHLH family members . Regions with high sequence conservation may indicate potential cross-reactivity sites. Second, experimental validation using recombinant proteins of related BHLH family members should be conducted to directly test cross-reactivity. Western blotting, ELISA, and immunoprecipitation with these related proteins can reveal any unintended binding .

For more definitive characterization, researchers can:

  • Use competition assays where unlabeled BHLH139 protein competes with related proteins for antibody binding

  • Employ cell lines with CRISPR knockout of BHLH139 while overexpressing other BHLH family members

  • Utilize biophysical techniques like isothermal titration calorimetry (ITC) or surface plasmon resonance (SPR) to quantitatively compare binding affinities

Importantly, binding specificity should be validated under the specific experimental conditions that will be used in subsequent research, as buffer conditions, protein concentrations, and sample preparation methods can all influence cross-reactivity profiles .

What biophysical techniques are most informative for characterizing BHLH139 Antibody binding kinetics?

Understanding the binding kinetics of BHLH139 Antibody provides crucial insights into its performance characteristics and optimal application conditions. Several biophysical techniques offer complementary information about antibody-antigen interactions.

Surface plasmon resonance (SPR) and bio-layer interferometry (BLI) are particularly valuable for determining association (k​on​) and dissociation (k​off​) rate constants, as well as equilibrium dissociation constants (K​D​) . These label-free techniques provide real-time measurements of binding events and can distinguish between high-affinity, slow-dissociating antibodies and those with weaker binding profiles.

Isothermal titration calorimetry (ITC) offers unique insights by directly measuring thermodynamic parameters of binding, including enthalpy (ΔH), entropy (ΔS), and stoichiometry . A comprehensive binding characterization would include:

TechniqueParameters MeasuredAdvantagesLimitations
SPR/BLIk​on​, k​off​, K​DReal-time kinetics, label-freeRequires surface immobilization
ITCΔH, ΔS, K​D​, stoichiometrySolution-phase, thermodynamicsHigher protein consumption
MSTK​D​, binding curvesLow sample consumptionMay require labeling
ELISARelative bindingHigh-throughputLimited kinetic information

Multiple binding events, as observed with some high-affinity antibodies, may indicate binding to multiple epitopes or conformational changes upon binding . Comparison of these parameters across different experimental conditions (pH, ionic strength, temperature) can reveal the robustness of the antibody-antigen interaction and guide experimental design for different applications .

How can computational modeling help predict BHLH139 Antibody epitope binding and cross-reactivity?

Computational modeling has emerged as a powerful approach for predicting antibody-antigen interactions and can provide valuable insights for BHLH139 Antibody research. Modern biophysics-informed models can disentangle multiple binding modes and predict binding specificity profiles that would be challenging to determine experimentally alone .

When applied to BHLH139 Antibody research, computational approaches can:

  • Predict epitope regions based on protein structure and sequence conservation analysis

  • Model the energetics of antibody-antigen binding across multiple potential binding modes

  • Simulate cross-reactivity with related BHLH family members based on structural homology

  • Guide the design of experiments to validate predicted binding interfaces

Recent advances in machine learning approaches have significantly improved the accuracy of these predictions. By training on data from phage display experiments and high-throughput sequencing, these models can identify different binding modes associated with specific ligands and predict outcomes for untested combinations . This is particularly valuable for understanding potential cross-reactivity with closely related BHLH family members.

The integration of computational modeling with experimental validation creates a powerful iterative approach. Experimental data feeds and refines computational models, which then guide the design of the next round of experiments, ultimately leading to a more comprehensive understanding of BHLH139 Antibody binding characteristics and specificity .

What are the optimal conditions for using BHLH139 Antibody in chromatin immunoprecipitation (ChIP) assays?

Chromatin immunoprecipitation (ChIP) assays using BHLH139 Antibody require careful optimization to achieve high specificity and sensitivity for detecting BHLH139 binding to genomic DNA. Several critical parameters must be considered to ensure reliable and reproducible results.

First, crosslinking conditions must be optimized for BHLH139 as a transcription factor. While the standard 1% formaldehyde for 10 minutes is a common starting point, BHLH proteins may require different crosslinking times or alternative crosslinkers like DSG (disuccinimidyl glutarate) for optimal capture of protein-DNA interactions . Second, sonication or enzymatic digestion conditions must be carefully calibrated to generate DNA fragments of appropriate size (typically 200-500 bp) while preserving epitope integrity.

For the immunoprecipitation step itself:

ParameterRecommendationNotes
Antibody amount2-5 μg per IP reactionTitration may be necessary
Incubation timeOvernight at 4°CShorter times may reduce background
Washing stringencyGradually increasing salt concentrationBalance between specificity and yield
ControlsIgG negative control, input sampleEssential for result interpretation
ValidationqPCR of known targets before sequencingConfirms enrichment of expected loci

To address potential challenges with antibody specificity, researchers should consider performing ChIP-seq in parallel with a second independent antibody targeting a different epitope of BHLH139, or use epitope-tagged BHLH139 constructs with well-validated tag antibodies as complementary approaches .

How can I optimize BHLH139 Antibody for immunohistochemistry (IHC) and immunofluorescence (IF) applications?

Optimization of BHLH139 Antibody for immunohistochemistry and immunofluorescence applications requires systematic evaluation of multiple parameters to achieve specific staining with minimal background. The nuclear localization of BHLH transcription factors presents particular challenges for signal-to-noise optimization.

Critical parameters to optimize include:

  • Fixation method: While 4% paraformaldehyde is standard, alternative fixatives like methanol or acetone may better preserve BHLH139 epitopes

  • Antigen retrieval: Heat-induced epitope retrieval (HIER) using citrate (pH 6.0) or EDTA (pH 9.0) buffers should be compared for optimal epitope exposure

  • Blocking conditions: BSA (3-5%) with normal serum from the secondary antibody host species helps minimize non-specific binding

  • Antibody concentration: Titration experiments (typically starting at 1-10 μg/mL) should be performed to determine optimal concentration

  • Incubation conditions: Compare overnight incubation at 4°C versus shorter incubations at room temperature

For validation of staining specificity, researchers should include:

  • Positive control tissues known to express BHLH139

  • Negative control tissues lacking BHLH139 expression

  • Peptide competition assays where pre-incubation with immunizing peptide blocks specific staining

  • BHLH139 knockdown/knockout validation to confirm specific staining

When troubleshooting, nuclear staining patterns should be carefully evaluated. BHLH139, as a transcription factor, should exhibit predominantly nuclear localization, potentially with heterogeneous staining intensity corresponding to different expression levels within a tissue or cell population .

What controls are essential when using BHLH139 Antibody for protein-protein interaction studies?

Protein-protein interaction studies using BHLH139 Antibody, such as co-immunoprecipitation (co-IP) or proximity ligation assays (PLA), require rigorous controls to distinguish genuine interactions from technical artifacts. BHLH transcription factors typically function in heterodimeric or homodimeric complexes, making interaction studies particularly relevant.

Essential controls for protein-protein interaction studies include:

  • Input controls: Analysis of lysate before immunoprecipitation to confirm expression of BHLH139 and potential interaction partners

  • Negative IP controls: Non-specific IgG from the same species as BHLH139 Antibody to assess non-specific binding

  • Reciprocal co-IP: Confirmation of interaction by immunoprecipitating with antibodies against the putative interaction partner

  • Specificity controls: Overexpression and knockdown/knockout validation to confirm antibody specificity

  • Binding condition controls: Testing interaction stability across different buffer stringencies

For novel interactions, researchers should also consider:

Validation ApproachDescriptionAdvantage
Proximity ligation assayIn situ detection of protein proximityMaintains cellular context
FRET/BRET analysisEnergy transfer between fluorophoresQuantitative, real-time
Binding site mutationsModification of predicted interaction surfacesEstablishes specificity
Competitive peptidesDisruption of interaction with synthetic peptidesConfirms binding interface

Finally, careful consideration of buffer conditions is essential, as interactions between transcription factors may be influenced by salt concentration, detergent type, and presence of nucleic acids . Testing multiple lysis and washing conditions can help distinguish stable interactions from weak or transient associations.

How do I address inconsistent BHLH139 Antibody performance across different experimental batches?

Batch-to-batch variability in antibody performance is a common challenge in research, particularly for complex targets like transcription factors. When facing inconsistent results with BHLH139 Antibody across different experimental batches, systematic troubleshooting is essential.

First, establish a standardized validation protocol for each new batch of antibody. This should include:

  • Western blot analysis against recombinant BHLH139 protein to confirm target recognition

  • Immunoprecipitation efficiency testing with quantitative recovery assessment

  • Side-by-side comparison with previous functional batches in your specific application

Second, investigate potential sources of variability:

Variable FactorInvestigation ApproachMitigation Strategy
Antibody storageTest aliquots stored under different conditionsPrepare single-use aliquots in optimal buffer
Sample preparationCompare fresh vs. stored samplesStandardize preparation protocols
Protocol driftReview detailed protocols for subtle changesMaintain detailed protocol documentation
Reagent changesTest new lots of all critical reagentsPurchase critical reagents in bulk
Equipment variationCalibrate and standardize equipmentInclude internal controls for normalization

Third, implement reference standards across experiments. Creating a large batch of positive control lysate or recombinant protein that can be used across multiple experiments provides an internal calibration standard . For critical experiments, consider using two independent BHLH139 antibodies targeting different epitopes to corroborate findings.

Finally, maintain detailed records of antibody performance, including lot numbers, storage conditions, and experimental outcomes, to identify patterns that may explain variability and guide future experimental design.

How can I distinguish between BHLH139 isoforms using antibody-based techniques?

Distinguishing between protein isoforms presents a significant challenge in antibody-based research. For BHLH139, which may have multiple splice variants or post-translationally modified forms, targeted approaches are necessary to differentiate these isoforms.

The first consideration is epitope location relative to isoform differences. Review the immunogen sequence used to generate the BHLH139 Antibody and map it to known or predicted isoforms . Antibodies raised against common regions will detect multiple isoforms, while those targeting unique regions can be isoform-specific.

For experimental discrimination between isoforms:

  • Two-dimensional gel electrophoresis: Separates proteins by both molecular weight and isoelectric point, potentially resolving isoforms with subtle differences

  • Isoform-specific knockdown: siRNA or CRISPR targeting unique exons to selectively deplete specific isoforms

  • Recombinant isoform panels: Testing antibody reactivity against all known isoforms expressed recombinantly

  • Mass spectrometry validation: Identifies specific isoforms present in immunoprecipitated samples

When isoform-specific antibodies are not available, researchers can employ strategic experimental designs:

ApproachMethodologyAdvantages
Isoform enrichmentCell fractionation or temporal samplingExploits differential localization or expression timing
Phospho-specific detectionPhosphatase treatment comparisonIdentifies phosphorylation-dependent epitopes
Combined antibodiesUsing antibodies to different regionsCreates pattern recognition for specific isoforms
Expression constructsSelective expression of isoformsProvides reference standards for endogenous detection

Importantly, when reporting research findings, clear documentation of which isoforms are detected by the antibody is essential for result interpretation and reproducibility .

What are the best approaches for resolving contradictory data from BHLH139 Antibody experiments?

First, conduct a critical assessment of experimental conditions and controls:

  • Review validation data for the antibody lot(s) used in contradictory experiments

  • Compare protocol details to identify potential methodological differences

  • Evaluate positive and negative controls for each experiment

  • Consider biological variables such as cell type, treatment conditions, or sample handling

Second, implement resolution strategies:

Contradiction TypeResolution ApproachRationale
Signal presence/absenceTitrate antibody concentration across wide rangeIdentifies potential detection threshold issues
Localization differencesMulti-technique validation (IF, fractionation, ChIP)Confirms localization through orthogonal methods
Interaction partnersVary stringency conditions in binding assaysDistinguishes stable vs. context-dependent interactions
Size/band patternsUse multiple antibodies to different epitopesIdentifies potential proteolysis or isoform detection

Third, employ orthogonal techniques that don't rely on antibodies. For example, RNA-seq can validate expression patterns, CRISPR screens can confirm functional data, and MS-based proteomics can verify protein interactions or modifications .

Finally, consider biological complexity as a potential explanation for contradictory results. BHLH139 function may be cell-type specific, context-dependent, or influenced by post-translational modifications. Carefully designed experiments that systematically vary these conditions may reveal that apparent contradictions actually reflect biological regulation .

How can I design custom antibodies with improved specificity for BHLH139?

Designing custom antibodies with enhanced specificity for BHLH139 represents an advanced approach for researchers facing limitations with commercially available options. Recent advances in antibody engineering provide multiple strategies for generating highly specific BHLH139 antibodies.

The first consideration is epitope selection. Computational analysis of the BHLH139 sequence can identify regions with minimal homology to other BHLH family members . These unique regions, particularly those outside the conserved basic helix-loop-helix domain, are prime candidates for generating specific antibodies. Structural information, if available, can further guide selection of surface-exposed regions.

For antibody generation, several approaches offer advantages:

ApproachMethodologyAdvantages for BHLH139 Targeting
Phage DisplaySelection from synthetic librariesAllows negative selection against related BHLH proteins
Hybridoma with ScreeningImmunization and hybridoma generationYields multiple clones with different properties
Recombinant Antibody EngineeringRational design and affinity maturationEnables specificity optimization post-selection
Camelid Single-Domain AntibodiesImmunization of camelidsAccess to recessed epitopes on BHLH139

Modern antibody engineering approaches can incorporate "counter-selection" strategies where antibodies binding to closely related BHLH family members are systematically eliminated during the selection process . This increases the likelihood of obtaining truly specific antibodies.

Recent advances in computational modeling for antibody specificity enable the prediction of binding modes to multiple epitopes from a single experiment . These models can guide the design of antibodies with customized specificity profiles, either with high specificity for BHLH139 alone or with controlled cross-reactivity to selected related proteins.

What emerging technologies can enhance detection and characterization of BHLH139 binding patterns?

Emerging technologies are transforming our ability to detect and characterize transcription factor binding patterns with unprecedented resolution and throughput. These approaches can provide valuable insights into BHLH139 function and regulation.

Single-cell technologies represent one of the most significant advances. Single-cell CUT&Tag or CUT&RUN enables mapping of BHLH139 binding sites at the individual cell level, revealing cell-to-cell heterogeneity in binding patterns that may correlate with functional differences . This approach is particularly valuable for heterogeneous tissues or developmental processes where BHLH139 may have context-specific functions.

Live-cell imaging approaches using tagged antibody fragments can also provide dynamic information:

TechnologyApplication to BHLH139Key Advantages
CRISPR-Cas9 epitope taggingEndogenous labeling of BHLH139Maintains native expression levels
SNAP/HALO-tag fusion proteinsPulse-chase labeling of BHLH139Reveals protein turnover dynamics
Single-molecule trackingVisualizing BHLH139 movementQuantifies residence time on chromatin
Proximity labeling (BioID/TurboID)Identifying context-specific interactorsMaps local protein environment

Multi-omics integration approaches are also powerful for comprehensive characterization. Combining BHLH139 ChIP-seq with RNA-seq, ATAC-seq, and proteomics data can reveal how BHLH139 binding correlates with chromatin accessibility, gene expression changes, and protein complex formation .

Finally, advances in biophysical methods such as high-throughput quantitative binding assays and hydrogen-deuterium exchange mass spectrometry (HDX-MS) provide detailed information about binding energetics and conformational changes that occur upon BHLH139 binding to DNA or protein partners .

How can machine learning enhance BHLH139 Antibody applications in research?

Machine learning approaches are increasingly being applied to antibody research, offering new opportunities to enhance BHLH139 Antibody applications across multiple dimensions. These computational tools can improve experimental design, data analysis, and interpretation.

For epitope prediction and antibody design, machine learning models trained on large antibody-epitope datasets can identify optimal target regions on BHLH139 that maximize specificity and accessibility . These models can integrate sequence conservation, structural predictions, and experimental binding data to propose candidate epitopes with higher likelihood of generating specific antibodies.

In image analysis applications:

Machine Learning ApplicationBenefit for BHLH139 ResearchImplementation Approach
Automated image segmentationQuantification of nuclear BHLH139 stainingConvolutional neural networks for nucleus identification
Signal-to-noise enhancementImproved detection of low-abundance bindingDenoising algorithms for immunofluorescence images
Pattern recognitionIdentification of distinct BHLH139 localization patternsClustering algorithms applied to spatial distribution data
Cross-modality integrationCorrelation of binding patterns with morphological featuresMultimodal deep learning combining IF with brightfield images

For binding prediction and analysis, biophysics-informed models can disentangle multiple binding modes associated with BHLH139 interactions . These models can predict binding to novel DNA sequences or protein partners based on existing experimental data, guiding the design of validation experiments and expanding our understanding of BHLH139 function.

Importantly, machine learning approaches are most powerful when integrated with robust experimental validation. Models trained on high-quality BHLH139 binding data can generate testable hypotheses about binding preferences and specificity, creating an iterative cycle between computational prediction and experimental validation that accelerates research progress .

What are the critical considerations for ensuring reproducibility in BHLH139 Antibody research?

Ensuring reproducibility in BHLH139 Antibody research requires attention to multiple critical factors that influence experimental outcomes. As antibody-based methods form the cornerstone of many research workflows, addressing these considerations systematically is essential for generating reliable and robust data.

First, comprehensive antibody validation using multiple orthogonal approaches is fundamental. This includes not only verifying binding to the intended target but also confirming specificity through knockout/knockdown controls, peptide competition assays, and testing against related BHLH family members . Documentation of validation experiments, including images of full Western blots and controls, provides essential context for result interpretation.

Second, detailed reporting of experimental conditions is critical:

Parameter CategoryEssential Details to ReportImpact on Reproducibility
Antibody informationSupplier, catalog number, lot, concentration usedEnables direct replication
Sample preparationCell type, lysis method, buffer compositionAffects epitope accessibility
Experimental conditionsIncubation times, temperatures, washing stepsInfluences signal-to-noise ratio
Image acquisitionExposure settings, microscope parameters, settingsDetermines detection sensitivity
Data analysisQuantification methods, normalization approachAffects interpretation of results

Third, consideration of biological variability is essential. Replication across multiple biological samples, rather than technical replicates alone, strengthens confidence in findings related to BHLH139 function or regulation . Additionally, testing across different cell types or tissues can reveal context-dependent aspects of BHLH139 biology.

Finally, embracing new standards for antibody reporting, such as including Research Resource Identifiers (RRIDs) and following the Minimum Information About an Antibody (MIABA) guidelines, enhances transparency and reproducibility . These practices facilitate accurate comparison across studies and build a more reliable foundation for BHLH139 research.

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