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:
Property | Specification |
---|---|
Host Species | Rabbit |
Immunogen | KLH-conjugated synthetic peptide (451-547) |
Isotype | IgG |
Concentration | 1 μg/μL |
Purification | Protein A-affinity purified |
Storage | -20°C in 50% glycerol, 0.02% Proclin300 |
Cross-Reactivity | Mouse (confirmed), Human/Rat/Dog (predicted) |
Validated applications for BHLHB9 antibodies include :
Technique | Dilution Range | Detection Method |
---|---|---|
Western Blot | 1:300 – 1:5,000 | Chemiluminescence/fluorophores |
Immunohistochemistry (Paraffin) | 1:200 – 1:400 | DAB/fluorescence |
Immunofluorescence (Cells) | 1:50 – 1:200 | Confocal microscopy |
ELISA | 1:500 – 1:1,000 | Colorimetric quantification |
Key validation data:
No cross-reactivity with other bHLH family members (e.g., MYOD, TWIST) per epitope mapping
Batch-specific validation sheets showing ≤15% inter-assay variance
Although direct studies on "BHLH139" are absent, BHLHB9 research reveals:
Gaps in BHLHB9 antibody utilization include:
No structural data for antibody-antigen complexes
Limited pharmacokinetic profiles in vivo
Uncharacterized epitope stability under reducing conditions
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 .
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 .
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:
Parameter | Recommendation | Notes |
---|---|---|
Storage temperature | -20°C to -80°C for long-term | Avoid repeated freeze-thaw cycles |
Working aliquots | 4°C for up to 1-2 weeks | Store in small single-use aliquots |
Buffer conditions | PBS with 0.02% sodium azide | Alternative stabilizers like glycerol (50%) may be used |
Exposure to light | Minimize | Particularly important for fluorophore-conjugated antibodies |
Centrifugation | Brief spin before use | Removes 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.
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 .
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 (kon) and dissociation (koff) rate constants, as well as equilibrium dissociation constants (KD) . 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:
Technique | Parameters Measured | Advantages | Limitations |
---|---|---|---|
SPR/BLI | kon, koff, KD | Real-time kinetics, label-free | Requires surface immobilization |
ITC | ΔH, ΔS, KD, stoichiometry | Solution-phase, thermodynamics | Higher protein consumption |
MST | KD, binding curves | Low sample consumption | May require labeling |
ELISA | Relative binding | High-throughput | Limited 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 .
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 .
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:
Parameter | Recommendation | Notes |
---|---|---|
Antibody amount | 2-5 μg per IP reaction | Titration may be necessary |
Incubation time | Overnight at 4°C | Shorter times may reduce background |
Washing stringency | Gradually increasing salt concentration | Balance between specificity and yield |
Controls | IgG negative control, input sample | Essential for result interpretation |
Validation | qPCR of known targets before sequencing | Confirms 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 .
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 .
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 Approach | Description | Advantage |
---|---|---|
Proximity ligation assay | In situ detection of protein proximity | Maintains cellular context |
FRET/BRET analysis | Energy transfer between fluorophores | Quantitative, real-time |
Binding site mutations | Modification of predicted interaction surfaces | Establishes specificity |
Competitive peptides | Disruption of interaction with synthetic peptides | Confirms 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.
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 Factor | Investigation Approach | Mitigation Strategy |
---|---|---|
Antibody storage | Test aliquots stored under different conditions | Prepare single-use aliquots in optimal buffer |
Sample preparation | Compare fresh vs. stored samples | Standardize preparation protocols |
Protocol drift | Review detailed protocols for subtle changes | Maintain detailed protocol documentation |
Reagent changes | Test new lots of all critical reagents | Purchase critical reagents in bulk |
Equipment variation | Calibrate and standardize equipment | Include 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.
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:
Approach | Methodology | Advantages |
---|---|---|
Isoform enrichment | Cell fractionation or temporal sampling | Exploits differential localization or expression timing |
Phospho-specific detection | Phosphatase treatment comparison | Identifies phosphorylation-dependent epitopes |
Combined antibodies | Using antibodies to different regions | Creates pattern recognition for specific isoforms |
Expression constructs | Selective expression of isoforms | Provides 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 .
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 Type | Resolution Approach | Rationale |
---|---|---|
Signal presence/absence | Titrate antibody concentration across wide range | Identifies potential detection threshold issues |
Localization differences | Multi-technique validation (IF, fractionation, ChIP) | Confirms localization through orthogonal methods |
Interaction partners | Vary stringency conditions in binding assays | Distinguishes stable vs. context-dependent interactions |
Size/band patterns | Use multiple antibodies to different epitopes | Identifies 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 .
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:
Approach | Methodology | Advantages for BHLH139 Targeting |
---|---|---|
Phage Display | Selection from synthetic libraries | Allows negative selection against related BHLH proteins |
Hybridoma with Screening | Immunization and hybridoma generation | Yields multiple clones with different properties |
Recombinant Antibody Engineering | Rational design and affinity maturation | Enables specificity optimization post-selection |
Camelid Single-Domain Antibodies | Immunization of camelids | Access 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.
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:
Technology | Application to BHLH139 | Key Advantages |
---|---|---|
CRISPR-Cas9 epitope tagging | Endogenous labeling of BHLH139 | Maintains native expression levels |
SNAP/HALO-tag fusion proteins | Pulse-chase labeling of BHLH139 | Reveals protein turnover dynamics |
Single-molecule tracking | Visualizing BHLH139 movement | Quantifies residence time on chromatin |
Proximity labeling (BioID/TurboID) | Identifying context-specific interactors | Maps 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 .
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 Application | Benefit for BHLH139 Research | Implementation Approach |
---|---|---|
Automated image segmentation | Quantification of nuclear BHLH139 staining | Convolutional neural networks for nucleus identification |
Signal-to-noise enhancement | Improved detection of low-abundance binding | Denoising algorithms for immunofluorescence images |
Pattern recognition | Identification of distinct BHLH139 localization patterns | Clustering algorithms applied to spatial distribution data |
Cross-modality integration | Correlation of binding patterns with morphological features | Multimodal 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 .
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 Category | Essential Details to Report | Impact on Reproducibility |
---|---|---|
Antibody information | Supplier, catalog number, lot, concentration used | Enables direct replication |
Sample preparation | Cell type, lysis method, buffer composition | Affects epitope accessibility |
Experimental conditions | Incubation times, temperatures, washing steps | Influences signal-to-noise ratio |
Image acquisition | Exposure settings, microscope parameters, settings | Determines detection sensitivity |
Data analysis | Quantification methods, normalization approach | Affects 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.