BHLH143 Antibody

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Description

Terminology Clarification

The term "BHLH143" does not align with established nomenclature for antibodies or transcription factors.

  • Antibody naming conventions typically follow standardized formats (e.g., "IgG1," "VRC01," or therapeutic names like "Adalimumab") .

  • bHLH transcription factors are classified numerically (e.g., bHLH3, bHLH13, bHLH17) or by functional subgroups (e.g., MYC, MAX) . The suffix "143" is atypical, suggesting either a typographical error or a non-canonical designation.

Potential Contextual Matches

While "BHLH143" itself is undocumented, related bHLH-family proteins and antibodies were identified:

A. bHLH Transcription Factors

ProteinFunctionAssociated AntibodiesReferences
bHLH3/bHLH17Negative regulators of jasmonate signalingAnti-bHLH3, Anti-bHLH17 (NeuroMab)
TCF3 (E2A)Prostate cancer biomarkerAnti-TCF3 (sc-349, Santa Cruz)
Gh_bHLH48Proanthocyanin biosynthesis in cottonAnti-GhTT2 (Y2H, LCI assays)

B. Antibody Characterization Programs

  • NeuroMab: Validates antibodies for neuroscience targets (e.g., bHLH3, bHLH17) via immunohistochemistry and Western blotting .

  • CPTAC Antibody Portal: Provides cancer-related antibodies (e.g., HER2, VEGF) but no bHLH143 .

Hypothetical Scenarios

If "BHLH143" refers to a novel or proprietary antibody, the following steps are recommended for validation:

  1. Sequence Alignment: Compare putative BHLH143 to known bHLH proteins (e.g., UniProt, NCBI).

  2. Epitope Mapping: Use KO cell lines to confirm specificity (as in YCharOS studies) .

  3. Functional Assays: Test in JA response pathways (anthocyanin accumulation, root growth) or cancer models .

Data Gaps and Limitations

  • Commercial Databases: No matches in Vector Labs, Santa Cruz Biotechnology, or DSHB repositories .

  • Structural Studies: No crystallographic or cryo-EM data for a "BHLH143" complex.

Recommendations

  1. Verify the spelling/nomenclature of "BHLH143" (e.g., "bHLH14.3" or "bHLH-143").

  2. Consult proprietary databases (e.g., internal pharma libraries) for unpublished data.

  3. Explore antibodies targeting analogous bHLH proteins (e.g., bHLH3, bHLH17) .

Product Specs

Buffer
Preservative: 0.03% Proclin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
BHLH143 antibody; EN129 antibody; At5g09460 antibody; T5E8.260Transcription factor bHLH143 antibody; Basic helix-loop-helix protein 143 antibody; AtbHLH143 antibody; bHLH 143 antibody; Transcription factor EN 129 antibody; bHLH transcription factor bHLH143 antibody
Target Names
BHLH143
Uniprot No.

Target Background

Database Links

KEGG: ath:AT5G09460

STRING: 3702.AT5G09460.1

UniGene: At.20593

Subcellular Location
Nucleus.

Q&A

What is BHLH143 and what role does it play in cellular functions?

BHLH143 belongs to the basic helix-loop-helix family of transcription factors that regulate gene expression through binding to specific DNA sequences. These transcription factors are involved in various cellular processes including differentiation, proliferation, and metabolism. When studying BHLH143, researchers should consider:

  • Its tissue-specific expression patterns across different cell types

  • Potential roles in development and disease processes

  • Interactions with other transcription factors and co-regulators

  • DNA binding properties and target gene networks

Understanding these fundamental aspects provides the foundation for designing targeted antibody-based experiments that can elucidate BHLH143's specific functions .

What types of antibodies are most suitable for BHLH143 research?

Selecting the appropriate antibody type is critical for successful BHLH143 research. Each antibody category offers distinct advantages depending on your experimental objectives:

Antibody TypeCharacteristicsRecommended ApplicationsConsiderations
MonoclonalSingle epitope specificity, homogeneousWestern blot, ChIP-seq, flow cytometryHigher specificity but limited epitope coverage
PolyclonalMultiple epitopes, heterogeneousImmunoprecipitation, immunohistochemistryBetter signal detection but potential cross-reactivity
HumanizedReduced immunogenicityIn vivo studies, therapeutic developmentApplicable for translational research
RecombinantConsistent production, defined propertiesReproducible quantitative assaysReduces batch-to-batch variation

Phage display technology has proven particularly valuable for generating high-affinity monoclonal antibodies against transcription factors like BHLH143, allowing for precise epitope targeting and selection of antibodies with desired binding properties .

How can I validate the specificity of a BHLH143 antibody?

Rigorous validation is essential before using any BHLH143 antibody for research applications. A comprehensive validation strategy should include:

  • Western blot analysis using:

    • Positive controls (cells/tissues known to express BHLH143)

    • Negative controls (BHLH143 knockout/knockdown samples)

    • Testing for cross-reactivity with other BHLH family members

  • Immunoprecipitation followed by mass spectrometry to confirm target identity

  • Immunofluorescence to verify expected subcellular localization (typically nuclear for transcription factors)

  • Competitive binding assays with recombinant BHLH143 protein

  • Chromatin immunoprecipitation at known BHLH143 binding sites

These validation steps ensure that experimental observations are truly attributable to BHLH143 and not to cross-reactivity or non-specific binding phenomena .

What are the challenges in developing antibodies that can distinguish between BHLH143 and closely related family members?

Developing highly specific antibodies against BHLH143 presents significant challenges due to the conserved structural domains shared among BHLH family members. Researchers face several obstacles:

  • The basic helix-loop-helix domain is highly conserved, limiting unique epitope availability

  • Potential cross-reactivity with structurally similar transcription factors

  • Variable expression levels of BHLH143 across different tissues and conditions

  • Post-translational modifications that may affect epitope accessibility

To overcome these challenges, researchers can employ strategic approaches including:

  • Targeting non-conserved regions outside the BHLH domain for antibody development

  • Using phage display technology with negative selection steps to remove cross-reactive antibodies

  • Implementing structure-guided and machine learning approaches to optimize antibody design

  • Conducting comprehensive cross-reactivity testing against related BHLH proteins

These advanced strategies align with methods described in antibody engineering literature where structure-guided and machine learning approaches have successfully improved antibody specificity and binding properties .

How can I optimize BHLH143 antibody performance for chromatin immunoprecipitation sequencing (ChIP-seq)?

ChIP-seq is particularly challenging for transcription factors like BHLH143 due to their relatively low abundance and context-dependent binding patterns. Optimization strategies include:

  • Antibody selection considerations:

    • Use antibodies specifically validated for ChIP applications

    • Select antibodies targeting epitopes that remain accessible when BHLH143 is bound to DNA

    • Consider using multiple antibodies targeting different epitopes

  • Sample preparation optimization:

    • Test different crosslinking conditions (formaldehyde concentration and time)

    • Optimize sonication parameters to achieve 200-500bp fragments

    • Implement two-step crosslinking for improved protein-DNA fixation

  • Immunoprecipitation refinement:

ParameterOptimization ApproachExpected Outcome
Antibody amountTitration experiments (2-10 μg)Determine minimum effective concentration
Chromatin amountSeries of input concentrationsBalance signal-to-noise ratio
Washing stringencyBuffer composition variationsReduce background while maintaining signal
Incubation time2h vs. overnight protocolsOptimize binding efficiency
  • Controls and validation:

    • Include IgG control to establish background levels

    • Perform qPCR on known BHLH143 binding sites before sequencing

    • Validate novel peaks with orthogonal methods

Implementing these optimizations can significantly improve ChIP-seq data quality and reliability for BHLH143 transcription factor binding site identification .

What approaches can be used to study BHLH143 protein-protein interactions using antibodies?

Investigating BHLH143 protein interactions requires specialized antibody-based techniques:

  • Co-immunoprecipitation (Co-IP) strategies:

    • Native Co-IP to preserve physiological interactions

    • Crosslinking Co-IP for transient or weak interactions

    • Sequential Co-IP for complex multi-protein assemblies

  • Proximity labeling approaches:

    • BioID or TurboID fusion with BHLH143 followed by streptavidin pulldown

    • APEX2 proximity labeling coupled with antibody validation of candidates

  • Advanced microscopy techniques:

    • Proximity ligation assay (PLA) to visualize protein interactions in situ

    • FRET/FLIM microscopy with antibody-based detection systems

    • Super-resolution microscopy for co-localization studies

  • Functional validation of interactions:

    • Mutation of interaction domains followed by antibody-based detection

    • Competition assays with peptides derived from interaction interfaces

    • Reconstitution experiments with purified components

These methodologies can reveal critical insights into BHLH143's functional networks and regulatory mechanisms, particularly important for understanding transcription factor complexes that control gene expression .

What are the optimal methods for generating and producing BHLH143 protein for antibody development?

Producing high-quality BHLH143 antigen is crucial for successful antibody development. The following strategies are recommended:

  • Expression system selection:

Expression SystemAdvantagesLimitations for BHLH143Recommended Applications
E. coliHigh yield, cost-effectiveMay lack PTMs, folding issuesPeptide antibodies, non-conformational epitopes
Insect cellsBetter folding, some PTMsModerate yield, higher costFull-length protein, conformational epitopes
Mammalian cellsNative folding, complete PTMsLower yield, highest costPTM-specific antibodies, complex epitopes
  • Protein domain considerations:

    • Express individual domains separately to avoid folding issues

    • Include purification tags that won't interfere with epitope accessibility

    • Consider a combination of full-length and domain-specific immunogens

  • Purification strategy:

    • Implement multi-step purification (affinity, ion exchange, size exclusion)

    • Confirm proper folding through circular dichroism or thermal shift assays

    • Verify homogeneity through SDS-PAGE and analytical size exclusion

  • Antigen quality assessment:

    • Mass spectrometry to confirm identity and modifications

    • Activity assays to verify functional conformation (DNA binding for BHLH143)

    • Stability testing under storage conditions

These methodologies ensure that the immunogen used for antibody development accurately represents the native BHLH143 protein, increasing the likelihood of generating antibodies with relevant biological activity .

How should I optimize immunofluorescence protocols for detecting BHLH143 in fixed cells?

Optimizing immunofluorescence (IF) for BHLH143 detection requires systematic refinement of several parameters:

  • Fixation method optimization:

    • Compare paraformaldehyde, methanol, and mixed fixation approaches

    • Test fixation duration (10-30 minutes) to balance epitope preservation and morphology

    • Evaluate permeabilization agents (Triton X-100, saponin, digitonin) for nuclear access

  • Antibody incubation conditions:

    • Determine optimal primary antibody concentration through titration

    • Compare overnight 4°C vs. shorter room temperature incubations

    • Test different blocking solutions to minimize background

  • Signal enhancement strategies:

    • Tyramide signal amplification for low abundance detection

    • Evaluate various secondary antibody formats (direct, polymer-based)

    • Consider antigen retrieval methods if epitope masking occurs

  • Controls and validation:

    • Include BHLH143 overexpression and knockdown controls

    • Perform peptide competition assays to confirm specificity

    • Use subcellular markers to confirm expected localization pattern

  • Imaging considerations:

    • Optimize exposure settings to avoid saturation

    • Use appropriate filter sets to minimize bleed-through

    • Implement deconvolution for improved signal-to-noise ratio

Following these optimization steps ensures reliable detection of BHLH143 in its native cellular context, allowing for accurate assessment of expression levels and subcellular distribution .

What are the key considerations for developing a quantitative ELISA for BHLH143?

Developing a quantitative ELISA for BHLH143 requires careful consideration of assay design and validation:

  • Assay format selection:

    • Sandwich ELISA using two antibodies recognizing different epitopes

    • Competitive ELISA for small samples or limited epitope accessibility

    • Direct ELISA for initial screening but with lower specificity

  • Critical reagent optimization:

ComponentOptimization ParametersEvaluation Criteria
Capture antibodyConcentration (1-10 μg/mL), coating bufferSensitivity, dynamic range
Detection antibodyDilution series, conjugation methodSignal-to-noise ratio
Standard curveRecombinant BHLH143, concentration rangeLinearity, recovery
Sample preparationLysis buffer, dilution factorMatrix effects, parallelism
  • Assay performance validation:

    • Determine limit of detection and quantification

    • Assess intra- and inter-assay coefficients of variation (<15%)

    • Perform spike-and-recovery experiments across sample types

    • Evaluate antibody cross-reactivity with related BHLH proteins

  • Quality control implementation:

    • Include calibrators on each plate

    • Establish acceptance criteria for standard curves

    • Implement control samples at low, medium, and high concentrations

Developing a robust ELISA enables accurate quantification of BHLH143 across multiple sample types, facilitating comparative studies of expression levels in different biological contexts .

How can I troubleshoot weak or inconsistent BHLH143 antibody signals in Western blotting?

When encountering weak or inconsistent BHLH143 signals in Western blotting, implement a systematic troubleshooting approach:

  • Sample preparation issues:

    • Ensure complete nuclear protein extraction (BHLH143 is a nuclear protein)

    • Add phosphatase and protease inhibitors immediately during lysis

    • Optimize sample denaturation conditions (temperature, reducing agents)

    • Consider specialized extraction protocols for transcription factors

  • Technical optimization:

ParameterPotential IssuesOptimization Strategy
Transfer efficiencyInsufficient transfer of nuclear proteinsExtended transfer time, lower methanol concentration
Blocking conditionsOver-blocking masking epitopesEvaluate different blocking agents (BSA vs. milk)
Primary antibodySuboptimal concentration or incubationTitration, extended incubation at 4°C
Detection systemInsufficient sensitivityTry enhanced chemiluminescence or fluorescent detection
  • Control experiments:

    • Run positive control lysates (cells overexpressing BHLH143)

    • Verify antibody functionality with recombinant BHLH143

    • Test multiple antibodies targeting different epitopes

    • Perform loading control normalization with nuclear markers

  • Common BHLH143-specific issues:

    • Post-translational modifications affecting epitope recognition

    • Protein degradation during sample preparation

    • Low endogenous expression requiring enrichment steps

    • Presence of multiple isoforms or splice variants

These troubleshooting strategies address the specific challenges associated with detecting transcription factors like BHLH143, which are often expressed at lower levels than structural or metabolic proteins .

How should I analyze and interpret contradictory results from different BHLH143 antibodies?

Contradictory results from different BHLH143 antibodies require careful analysis and reconciliation:

  • Systematic comparison approach:

    • Map the epitopes recognized by each antibody

    • Determine if discrepancies correlate with specific epitope regions

    • Evaluate validation documentation for each antibody

  • Potential causes of discrepancies:

    • Differential recognition of BHLH143 isoforms

    • Epitope masking by protein-protein interactions

    • Post-translational modifications affecting accessibility

    • Cross-reactivity with related BHLH family proteins

  • Resolution strategies:

    • Perform genetic validation (siRNA, CRISPR knockout)

    • Use orthogonal detection methods (mass spectrometry)

    • Implement epitope-tagged BHLH143 expression systems

    • Conduct side-by-side comparison under identical conditions

  • Integrated data analysis:

    • Weight results based on validation evidence

    • Consider the biological context of each experiment

    • Evaluate consistency with known BHLH143 biology

    • Seek consensus patterns across multiple antibodies

  • Documentation and reporting:

    • Clearly document antibody sources, catalog numbers, and lots

    • Report specific experimental conditions for each antibody

    • Present all data transparently, including discrepancies

    • Discuss potential biological interpretations of differences

This systematic approach allows researchers to distinguish between technical artifacts and biologically meaningful variations in BHLH143 detection .

What statistical approaches are appropriate for analyzing quantitative BHLH143 expression data from antibody-based assays?

  • Data preprocessing considerations:

    • Normalization to appropriate reference proteins

    • Log transformation for skewed distributions

    • Outlier identification and handling

    • Missing data imputation strategies

  • Statistical test selection:

Experimental DesignRecommended TestsAssumptions and Considerations
Two-group comparisont-test or Mann-WhitneyAssess normality, equal variances
Multiple group comparisonANOVA or Kruskal-WallisPost-hoc testing with correction
Correlation with outcomesPearson or Spearman correlationLinearity assessment
Time course dataRepeated measures ANOVA, mixed modelsAccount for subject variability
  • Statistical power considerations:

    • Perform power analysis to determine adequate sample size

    • Consider biological and technical variability in calculations

    • Implement biological and technical replicates appropriately

    • Report confidence intervals alongside p-values

  • Advanced analytical approaches:

    • Multivariate analysis for complex experimental designs

    • Machine learning for pattern identification

    • Bayesian approaches for integrating prior knowledge

    • Meta-analysis for combining multiple experimental datasets

  • Visualization strategies:

    • Box plots showing distribution characteristics

    • Scatter plots revealing individual data points

    • Heat maps for multiple sample comparisons

    • Forest plots for effect size visualization

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