HCT1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
HCT1 antibody; Os04g0500700 antibody; LOC_Os04g42250 antibody; OsJ_15346 antibody; OSJNBa0029H02.19 antibody; Hydroxycinnamoyltransferase 1 antibody; OsHCT1 antibody; EC 2.3.1.- antibody; BAHD-like hydroxycinnamoyl transferase HCT1 antibody
Target Names
HCT1
Uniprot No.

Target Background

Function
Hydroxycinnamoyl transferase (HCT1) is an enzyme that catalyzes the transfer of an acyl group from p-coumaryol-CoA to various acyl acceptors. It can also utilize feruloyl-CoA and caffeoyl-CoA as acyl donors.
Database Links
Protein Families
Plant acyltransferase family
Tissue Specificity
Expressed in roots, leaves, stems and seeds.

Q&A

What is HCT1/Cdh1 and why is it significant in research?

HCT1 (also known as Cdh1) serves as a substrate-specific activator of the anaphase-promoting complex (APC), a crucial E3-ubiquitin ligase that regulates cell cycle progression through targeted protein degradation. In yeast systems, Hct1 functions as a substrate receptor that recognizes target proteins and recruits them to the APC for ubiquitylation and subsequent proteolysis . Its significance extends beyond basic cell cycle regulation, as Cdh1–APC plays a vital survival role in postmitotic neurons by preventing cyclin B1 accumulation, thus inhibiting aberrant cell cycle re-entry that could trigger apoptotic cell death . This mechanism has particular relevance for neurodegenerative disease research, as cyclin B1 reactivation occurs in conditions such as Alzheimer's disease .

What experimental approaches effectively validate HCT1 antibody specificity?

Validating HCT1 antibody specificity requires a multi-faceted approach:

  • RNA interference validation: Compare antibody reactivity in wild-type cells versus cells where Cdh1 has been depleted using shRNA techniques. The significant reduction or elimination of signal confirms specificity, as demonstrated in neuronal studies using the target sequence 5′-TGAGAAGTCTCCCAGTCAG-3′ .

  • Immunoprecipitation analysis: Perform reciprocal immunoprecipitation experiments with known interacting partners (such as Clb2 and Clb3 in yeast systems) to confirm the antibody recognizes biologically relevant complexes .

  • Functional correlation: Establish correlation between antibody-detected signals and known biological functions. For instance, in neuronal systems, validating that antibody-detected Cdh1 depletion corresponds with cyclin B1 accumulation and downstream apoptotic events .

  • Cross-reactivity testing: Examine reactivity against related proteins and across species to establish specificity boundaries.

How should researchers optimize immunocytochemistry protocols for HCT1 detection?

Optimized immunocytochemistry for HCT1/Cdh1 detection requires careful attention to fixation and permeabilization protocols:

  • Fixation method: Fix cells for 30 minutes in PBS containing 4% paraformaldehyde, followed by PBS rinsing .

  • Permeabilization: Permeabilize fixed cells for 10 minutes with 0.1% Triton X-100 to allow antibody access to intracellular targets .

  • Blocking parameters: Block non-specific binding by incubating in PBS containing 10% normal goat serum prior to primary antibody application .

  • Antibody dilution and incubation: For optimal results with anti-Cdh1 antibody, use 1:100 dilution with a 30-minute incubation period at room temperature .

  • Co-staining considerations: When performing co-localization studies, consider sequential staining approaches to minimize cross-reactivity. For cellular compartment identification, markers such as Map2 (1:200 dilution, 2-hour incubation) can be employed .

What controls are essential when studying HCT1-substrate interactions?

When studying HCT1-substrate interactions, include these critical controls:

  • Function-deficient mutants: Include truncated forms of binding partners (such as hEmi1ΔZBR mutants) that lack functional binding domains as negative controls .

  • Alternative substrate controls: Include known substrates (like cyclin B1) and non-substrates as positive and negative controls to validate interaction specificity .

  • Competitor assays: Perform competition experiments with unlabeled antibody or known binding partners to confirm binding specificity.

  • Cross-linking validation: When appropriate, confirm interactions through chemical cross-linking followed by mass spectrometry to validate direct binding.

  • Domain-specific mutants: Generate point mutations in key recognition motifs to establish the specificity determinants of HCT1-substrate interactions.

How can researchers distinguish between active and inactive forms of HCT1/Cdh1?

Distinguishing between active and inactive forms of HCT1/Cdh1 requires specialized approaches focused on phosphorylation state and complex formation:

  • Phosphorylation-specific antibodies: Develop or utilize antibodies specifically targeting phosphorylated residues known to regulate Cdh1 activity. Cdh1 activation typically requires dephosphorylation, so phospho-specific antibodies can identify the inactive form.

  • APC association assays: Active Cdh1 associates with the APC complex through the C-box motif . Co-immunoprecipitation experiments followed by Western blotting for APC components can determine the proportion of Cdh1 in active complexes.

  • Substrate accumulation: Monitor accumulation of known Cdh1-APC substrates such as cyclin B1, which inversely correlates with Cdh1 activity . In functional systems, cyclin B1 levels rise when Cdh1 is inactive or depleted.

  • Subcellular fractionation: Separate nuclear and cytoplasmic fractions before immunoblotting, as active Cdh1 often exhibits distinct subcellular localization patterns compared to inactive forms.

  • Sequential immunoprecipitation: Perform sequential immunoprecipitation with phospho-specific and pan-Cdh1 antibodies to separate and quantify different phospho-forms.

What approaches can resolve contradictory results when using different HCT1 antibody clones?

When faced with contradictory results from different HCT1 antibody clones, implement this systematic troubleshooting approach:

  • Epitope mapping: Determine the exact epitopes recognized by each antibody clone, as differences in epitope accessibility can explain discrepancies, particularly when protein conformation or complex formation may mask certain regions.

  • Validation with genetic models: Test antibodies in Cdh1 knockout/knockdown systems and complementation models to definitively establish specificity and sensitivity parameters .

  • Orthogonal methodologies: Confirm results using non-antibody-based techniques such as mass spectrometry or functional activity assays to provide antibody-independent validation.

  • Domain-specific analysis: If antibodies target different domains of Cdh1, discrepancies might reveal biologically relevant conformational changes or protein-protein interactions rather than technical artifacts.

  • Cross-reactivity profiling: Systematically test each antibody against related proteins, particularly other WD40 domain-containing proteins like Cdc20, to identify potential cross-reactivity issues .

How can HCT1 antibodies be used to study neurodegeneration mechanisms?

HCT1/Cdh1 antibodies offer powerful tools for investigating neurodegeneration mechanisms:

  • Cell cycle re-entry detection: Use Cdh1 and cyclin B1 co-staining to identify neurons attempting aberrant cell cycle re-entry, a phenomenon observed in neurodegenerative diseases like Alzheimer's .

  • Substrate accumulation profiling: Develop immunohistochemical panels combining Cdh1 antibodies with antibodies against key substrates to create "degradation signatures" in diseased versus healthy neural tissue.

  • Temporal progression analysis: Apply Cdh1 antibodies to tissue samples representing different disease stages to track changes in expression, localization, and activity throughout disease progression.

  • Therapeutic intervention assessment: Utilize Cdh1 antibodies to monitor the efficacy of treatments designed to modulate APC activity or stabilize neuronal post-mitotic state.

  • Interaction network mapping: Employ proximity ligation assays with Cdh1 antibodies to visualize and quantify interactions with APC components and substrates in intact neuronal tissues, revealing disruptions in protein interaction networks during neurodegeneration.

What are the methodological considerations for developing monoclonal antibodies against specific HCT1 functional domains?

Developing domain-specific HCT1 monoclonal antibodies requires careful planning:

  • Structural analysis-guided epitope selection: Utilize available structural data to identify accessible epitopes within functional domains, such as the C-box required for APC association or substrate-binding regions.

  • Phage display optimization: When using phage display techniques, design libraries with systematic variation in critical positions (such as CDR3) to generate antibodies with highly specific binding profiles .

  • Binding mode identification: Implement computational modeling to identify different binding modes associated with particular ligands, allowing disentanglement of binding profiles even for chemically similar epitopes .

  • Specificity profile engineering: Apply computational design approaches to customize antibody specificity, either for specific high affinity to a particular epitope or cross-specificity across multiple target regions .

  • Functional validation: Beyond binding assays, validate antibodies through functional tests demonstrating their ability to distinguish between active and inactive conformations, such as testing their effect on substrate ubiquitylation in in vitro assays.

What are the optimal parameters for HCT1 antibody validation in different experimental systems?

Optimal validation parameters vary across experimental systems but should include:

Validation ApproachCell Culture SystemsTissue SectionsCell-Free Systems
Knockdown ControlsshRNA with target sequence 5′-TGAGAAGTCTCCCAGTCAG-3′ Conditional knockout tissueN/A
Peptide Competition10-100x molar excess50-200x molar excess5-50x molar excess
Positive ControlsCo-staining with known interactors (cyclin B1)Adjacent normal tissuePurified recombinant protein
Blocking Conditions10% normal goat serum, 30 min 10% normal goat serum, 1 hour3% BSA, 30 min
Signal Specificity TestFunctional correlation with cyclin B1 accumulation Absence in negative cell typesWestern blot single band verification

How can researchers optimize co-immunoprecipitation protocols to study HCT1-APC substrate interactions?

Optimizing co-immunoprecipitation for HCT1-APC substrate interactions requires:

  • Cross-linker selection: For transient interactions, employ reversible cross-linkers to stabilize complexes before immunoprecipitation.

  • Buffer optimization: Include proteasome inhibitors to prevent substrate degradation, and test different salt and detergent concentrations to maintain complex integrity while reducing non-specific binding.

  • Antibody orientation: Compare results when immunoprecipitating with anti-HCT1 versus anti-substrate antibodies, as each approach may reveal different complex populations or efficiencies.

  • Sequential immunoprecipitation: For complex interaction networks, implement sequential immunoprecipitation to isolate specific subcomplexes, such as first pulling down APC components, then eluting and re-immunoprecipitating with Cdh1 antibodies .

  • Temporal dynamics: Synchronize cells at different cell cycle stages before immunoprecipitation to capture phase-specific interactions, particularly for cyclins and other cell cycle regulators .

What strategies can enhance detection of novel HCT1-APC substrates?

To identify novel HCT1-APC substrates, researchers should consider:

  • Proteomics approach: Combine Cdh1 immunoprecipitation with mass spectrometry to identify interacting proteins, focusing on those containing known destruction motifs (D-box, KEN-box).

  • Stability profiling: Compare protein half-lives in wild-type versus Cdh1-depleted cells to identify proteins stabilized by Cdh1 loss .

  • Substrate prediction algorithm: Develop computational approaches to predict potential substrates based on structural similarities to known substrates such as Clb2, Clb3, and Cdc5 .

  • Degron reporter systems: Create fusion proteins containing potential destruction motifs linked to reporter proteins, then test their stability in the presence or absence of functional Cdh1.

  • In vitro ubiquitylation assays: Reconstitute the Cdh1-APC system in vitro and test candidate substrates for ubiquitylation in a controlled environment.

How can researchers address non-specific binding issues with HCT1 antibodies?

To address non-specific binding with HCT1 antibodies:

  • Optimization of blocking conditions: Test different blocking agents beyond standard serum, including specific protein blockers or commercial formulations designed to reduce background.

  • Cross-adsorption: Pre-adsorb antibodies against related proteins or tissue lysates from knockout models to remove cross-reactive antibody populations.

  • Epitope-specific competition: Include competing peptides representing only the specific epitope region rather than full-length protein to preserve specific binding while reducing non-specific interactions.

  • Antibody fragmentation: In some applications, using Fab or F(ab')₂ fragments rather than intact IgG can reduce non-specific binding mediated by Fc regions.

  • Detergent optimization: Systematically test different detergent types and concentrations in washing buffers to optimize the signal-to-noise ratio without disrupting specific interactions.

What approaches can help interpret variable HCT1 detection across different tissue types?

When facing variable HCT1 detection across tissues:

  • Expression level normalization: Implement absolute quantification methods using recombinant protein standards to determine if variations reflect true expression differences rather than detection artifacts.

  • Tissue-specific modification analysis: Investigate potential tissue-specific post-translational modifications that might alter epitope accessibility or antibody affinity.

  • Extraction protocol optimization: Different tissues may require tailored protein extraction methods to efficiently solubilize Cdh1 without affecting antibody recognition sites.

  • Alternative antibody validation: When possible, confirm patterns using antibodies targeting different epitopes or non-antibody detection methods.

  • Context-specific controls: Include tissue-matched positive and negative controls, particularly for tissues showing unexpected results, to validate assay performance in each specific context.

How should researchers interpret contradictions between HCT1 antibody results and functional data?

When antibody results contradict functional observations:

  • Activity-state assessment: Determine if antibodies detect total protein versus active forms. Cdh1 function depends on phosphorylation state and complex formation, which may not correlate with total protein levels .

  • Subcellular localization analysis: Perform fractionation studies to determine if Cdh1 localization rather than total levels explains functional differences.

  • Isoform specificity: Investigate whether antibodies detect all relevant isoforms or splice variants that may have different functional properties.

  • Temporal dynamics consideration: Assess whether sampling time points match the expected temporal window of Cdh1 activity, particularly in cell cycle studies where timing is critical.

  • Interaction partner influence: Evaluate whether the presence of different interaction partners across experimental systems might mask epitopes or alter antibody accessibility while preserving or modifying function.

How can HCT1 antibodies be utilized for live-cell imaging of APC activity?

For live-cell imaging of APC activity using HCT1 antibodies:

  • Antibody fragment engineering: Develop fluorescently labeled Fab fragments that retain specificity but can penetrate living cells more effectively than full IgG.

  • Intrabody approaches: Express single-chain antibody fragments (scFv) derived from HCT1 antibodies as fusion proteins with fluorescent reporters to track Cdh1 localization and interactions in living cells.

  • Conformation-sensitive detection: Design antibody-based FRET sensors that can report on Cdh1 activation state or substrate binding events in real time.

  • Target degradation monitoring: Combine Cdh1 antibody-based imaging with fluorescent reporters for key substrates like cyclin B1 to simultaneously track enzyme and substrate dynamics .

  • Microinjection techniques: For short-term studies, directly microinject labeled antibodies into cells and monitor their localization and co-localization with substrates or APC components over time.

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