HCT2 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
HCT2 antibody; Os02g0611800 antibody; LOC_Os02g39850 antibody; OJ1004_A05.15 antibody; Hydroxycinnamoyltransferase 2 antibody; OsHCT2 antibody; EC 2.3.1.- antibody; BAHD-like hydroxycinnamoyl transferase HCT2 antibody
Target Names
HCT2
Uniprot No.

Target Background

Function
Hydroxycinnamoyl transferase (HCT2) is an enzyme that catalyzes the transfer of an acyl group from p-coumaryol-CoA to various acyl acceptors. HCT2 can also utilize feruloyl-CoA and caffeoyl-CoA as acyl donors.
Database Links

KEGG: osa:4329959

STRING: 39947.LOC_Os02g39850.1

UniGene: Os.7870

Protein Families
Plant acyltransferase family
Tissue Specificity
Expressed in roots and leaves. Expressed at low levels in stems and seeds.

Q&A

Basic Research Questions

  • What is HCT2 and what is its function in rice plants?

HCT2 (Hydroxycinnamoyl-CoA:shikimate hydroxycinnamoyl transferase 2) is an enzyme involved in the phenylpropanoid pathway, particularly in lignin biosynthesis in rice. It plays a crucial role in the synthesis of monolignols that are subsequently polymerized to form lignin polymers for cell wall reinforcement. This process is essential for structural support and is significantly upregulated during pathogen attack as part of rice's defense mechanism . In rice, HCT2 (Q6K638) is encoded by a gene located in the Oryza sativa subsp. japonica genome and contributes to cell wall biogenesis and defense response.

  • How do I validate the specificity of an HCT2 antibody for rice research?

Validation of HCT2 antibody specificity requires multiple complementary approaches:

  • Western blot analysis: Run protein extracts from wild-type rice alongside HCT2 knockout mutants. A specific antibody will show a band at the expected molecular weight (~50-55 kDa) in wild-type samples but not in knockout samples.

  • Immunoprecipitation followed by mass spectrometry: Verify the identity of the precipitated protein.

  • Immunohistochemistry with controls: Compare staining patterns in wild-type versus knockout tissues.

  • Recombinant protein testing: Express recombinant HCT2 and test antibody binding.

  • Cross-reactivity assessment: Test against related proteins (e.g., HCT4) to ensure specificity.

For rice HCT2 specifically, antibodies should be validated against tissues where lignin biosynthesis is active, such as stem tissue during secondary wall formation or leaf tissue after pathogen challenge .

  • What are the recommended storage conditions for HCT2 antibodies?

For optimal preservation of HCT2 antibody activity:

  • Store concentrated antibody (>0.5 mg/ml) at -20°C for long-term storage

  • For working solutions, store at 4°C with 0.02% sodium azide as preservative

  • Avoid repeated freeze-thaw cycles (limit to <5 cycles)

  • For long-term stability, consider aliquoting before freezing

  • Monitor for precipitation or cloudiness before use

  • For polyclonal antibodies against rice HCT2, adding glycerol (final concentration 50%) improves stability during freezing

  • Typical shelf life is 12-24 months when properly stored

  • What experimental controls should I include when using HCT2 antibody in immunoblotting?

Control TypePurposeImplementation
Positive controlConfirms antibody functionalityUse purified recombinant HCT2 protein or extract from tissue with known high HCT2 expression (e.g., lignifying stems)
Negative controlValidates specificityInclude HCT2 knockout/knockdown rice samples or use pre-immune serum
Loading controlEnsures equal protein loadingProbe for housekeeping proteins like actin, tubulin, or GAPDH
Blocking peptideConfirms epitope specificityPre-incubate antibody with excess HCT2 peptide used for immunization
Cross-reactivity checkAssesses specificityTest against related proteins like HCT4 or other rice transferases
Molecular weight markerVerifies target protein sizeHCT2 is expected at approximately 50-55 kDa

Additional considerations include using appropriate blocking solutions (5% non-fat milk or BSA) and testing antibody at multiple dilutions (1:500 to 1:5000) to optimize signal-to-noise ratio .

  • How does HCT2 expression change during plant disease response?

HCT2 expression is significantly upregulated during pathogen attack as part of the plant's defense system. Research indicates:

  • Upon pathogen infection, rice plants increase production of H₂O₂, activating defense signaling cascades

  • Transcription factors like bHLH25 are oxidized by H₂O₂ and regulate the expression of genes involved in lignin biosynthesis

  • HCT2 mRNA levels increase 3-6 fold within 24 hours after pathogen exposure

  • Expression is particularly elevated in tissues directly in contact with pathogens

  • The oxidation/non-oxidation status of regulatory transcription factors like bHLH25 coordinates the timing of HCT2 upregulation

  • Increased HCT2 activity leads to enhanced monolignol production for cell wall reinforcement

  • The lignification process creates a physical barrier that prevents pathogen penetration into plant cells

This pathogen-induced upregulation of HCT2 and other lignin biosynthesis enzymes highlights their importance in plant immunity responses .

Advanced Research Questions

  • How can I optimize immunohistochemical detection of HCT2 in rice tissues?

Optimizing immunohistochemical detection of HCT2 in rice tissues requires careful consideration of tissue preparation, fixation methods, and detection parameters:

Sample preparation protocol:

  • Fix fresh rice tissue samples in 4% paraformaldehyde for 12-16 hours at 4°C

  • Perform paraffin embedding with gradual ethanol dehydration (30%, 50%, 70%, 85%, 95%, 100%)

  • Section tissues at 5-10 μm thickness

Antigen retrieval optimization:

  • Test multiple approaches: citrate buffer (pH 6.0), Tris-EDTA (pH 9.0), or enzymatic retrieval

  • For rice tissues, heat-induced retrieval in citrate buffer (10 mM, pH 6.0) at 95°C for 20 minutes typically yields best results

Antibody incubation parameters:

  • Primary antibody (anti-HCT2): Test dilutions from 1:50 to 1:500

  • For rice stem tissue, a 1:200 dilution with overnight incubation at 4°C typically produces optimal signal-to-noise ratio

  • Add 0.1% Triton X-100 to enhance antibody penetration in dense tissues

  • Include 3% BSA to reduce background staining

Detection system optimization:

  • For fluorescence: Use secondary antibodies conjugated to bright, photostable fluorophores (Alexa Fluor 488 or 594)

  • For chromogenic detection: HRP-conjugated secondaries with DAB substrate provide good contrast

  • Counterstain nuclei with DAPI or hematoxylin for orientation

Critical controls:

  • Pre-immune serum control

  • HCT2 knockout/knockdown tissue

  • Blocking peptide control

  • Secondary antibody-only control

For rice specifically, differential HCT2 localization can be observed between epidermal, vascular, and mesophyll tissues, with highest expression in developing vascular bundles where lignification actively occurs .

  • What approaches can I use to study the interaction between HCT2 and oxidative stress signaling in rice?

To investigate the relationship between HCT2 and oxidative stress signaling in rice, several complementary approaches can be employed:

Biochemical approaches:

  • In vitro enzymatic assays: Measure HCT2 activity using recombinant protein under various H₂O₂ concentrations (0-10 mM)

  • Protein oxidation analysis: Assess direct oxidation of HCT2 using carbonyl detection assays

  • Co-immunoprecipitation: Identify HCT2-interacting proteins under oxidative stress conditions

Molecular approaches:

  • Expression analysis: Monitor HCT2 transcript levels following H₂O₂ treatment (1 mM for 0-72h) using RT-qPCR

  • Promoter analysis: Identify redox-responsive elements in the HCT2 promoter

  • ChIP assays: Determine if transcription factors like bHLH25 bind to the HCT2 promoter in an oxidation-dependent manner

Cellular approaches:

  • Subcellular localization: Track HCT2-GFP fusion protein localization before and after oxidative stress

  • ROS imaging: Use H₂O₂-specific fluorescent probes alongside HCT2 immunolocalization

Genetic approaches:

  • HCT2 overexpression/knockout: Generate transgenic rice lines and assess oxidative stress tolerance

  • Double mutants: Create plants lacking both HCT2 and key ROS-signaling components

Metabolomic approaches:

  • Lignin content analysis: Measure lignin composition changes in response to oxidative stress

  • Metabolite profiling: Analyze phenylpropanoid pathway intermediates

Recent research has demonstrated that H₂O₂ treatment of rice plants significantly upregulates genes involved in cell wall biogenesis and lignin biosynthesis, with HCT2 being among the highest upregulated genes . The transcription factor bHLH25 acts as a direct H₂O₂ sensor through oxidation of its methionine 256 residue, subsequently regulating downstream genes including those in the lignin biosynthesis pathway .

  • How can I develop a high-specificity antibody against rice HCT2 for my research?

Developing a high-specificity antibody against rice HCT2 requires careful antigen design, rigorous screening, and comprehensive validation:

Antigen design strategies:

  • Unique peptide approach:

    • Identify HCT2-specific epitopes (15-20 amino acids) that have minimal homology with related proteins (HCT4, etc.)

    • Focus on surface-exposed regions using protein structure prediction software

    • Avoid highly conserved catalytic domains to minimize cross-reactivity

  • Recombinant protein approach:

    • Express full-length HCT2 or unique domain fragments in E. coli or insect cells

    • Include purification tags that can be cleaved before immunization

    • Verify proper folding through activity assays

Immunization protocol:

  • For polyclonal antibodies: Use rabbits with a 3-month immunization schedule

  • For monoclonal antibodies: Consider mouse or rat immunization followed by hybridoma generation

  • For recombinant antibodies: Employ phage display technology with designed libraries

Screening methodology:

  • Initial ELISA screening against immunizing antigen

  • Secondary screening against recombinant full-length HCT2

  • Cross-reactivity screening against related proteins (HCT4, other transferases)

  • Functional screening using immunoprecipitation of active HCT2

Validation protocol:

  • Western blot against rice tissue extracts

  • Immunohistochemistry in wild-type vs. HCT2 knockout tissues

  • Mass spectrometry confirmation of immunoprecipitated proteins

  • Testing across multiple rice cultivars and tissue types

Characterization parameters to document:

  • Epitope mapping data

  • Sensitivity (detection limit)

  • Specificity metrics

  • Optimized working dilutions for different applications

  • Cross-reactivity profile

Based on successful approaches in plant antibody development, the generation of recombinant antibody fragments (scFv) against plant targets has shown excellent specificity and reproducibility .

  • What are the key differences between using monoclonal versus polyclonal antibodies for HCT2 detection in rice research?

ParameterMonoclonal AntibodiesPolyclonal Antibodies
Epitope recognitionSingle epitopeMultiple epitopes on HCT2
Batch-to-batch variationMinimal variationSignificant variation between animal immunizations
Production complexityHigh (hybridoma technology)Lower (animal immunization)
CostHigher initial investmentLower initial cost
Sensitivity in rice extractsLower (single epitope binding)Higher (multiple epitope binding)
Background in rice tissueGenerally lowerCan be higher, requiring more optimization
Cross-reactivity with HCT4Depends on epitope selectionMore likely due to multiple epitope recognition
Applications in denatured conditionsMay lose reactivity if epitope is conformation-dependentMore robust across different conditions
Post-translational modification detectionExcellent for specific PTM-targetingLimited ability to distinguish PTMs
Shelf-lifeTypically longerShorter due to heterogeneous nature

Recommendations for rice HCT2 research applications:

  • Western blotting: Both suitable; polyclonals offer higher sensitivity

  • Immunoprecipitation: Polyclonals typically perform better

  • Immunohistochemistry: Monoclonals provide cleaner staining in dense rice tissues

  • ELISA: Monoclonals as capture antibody, polyclonals as detection antibody

  • ChIP assays: Monoclonals preferred due to higher specificity

Recent research has shown that rice-specific antibodies require extensive validation due to the complex cellular makeup of rice tissues and potential cross-reactivity with other plant proteins .

  • How can I use HCT2 antibodies to study the relationship between lignin biosynthesis and disease resistance in rice?

Using HCT2 antibodies to investigate the lignin biosynthesis-disease resistance relationship requires a multi-faceted approach:

Temporal profiling of HCT2 protein levels during pathogen infection:

  • Inoculate rice plants with pathogens such as Magnaporthe oryzae (rice blast fungus)

  • Collect tissue samples at defined intervals (0, 12, 24, 36, 48, 72 hours post-infection)

  • Perform Western blot analysis using anti-HCT2 antibodies

  • Correlate HCT2 protein levels with disease progression and H₂O₂ accumulation

Spatial analysis of HCT2 during infection:

  • Prepare infected leaf sections at various time points

  • Perform immunohistochemistry with HCT2 antibodies

  • Co-stain for lignin deposition using phloroglucinol or other lignin stains

  • Use confocal microscopy to visualize HCT2 localization at infection sites

Co-localization studies:

  • Combine HCT2 immunostaining with pathogen-specific markers

  • Use fluorescence microscopy to determine spatial relationships between:

    • HCT2 localization

    • Lignin deposition

    • Pathogen penetration sites

    • H₂O₂ accumulation (using H₂O₂-specific probes)

Functional studies:

  • Use HCT2 antibodies for immunodepletion experiments in cell extracts

  • Measure resulting changes in lignin precursor accumulation

  • Apply immunoprecipitated HCT2 in activity assays under varying H₂O₂ conditions

Genetic complementation analysis:

  • Generate HCT2 overexpression and RNAi knockdown rice lines

  • Challenge with pathogens and compare disease progression

  • Use HCT2 antibodies to confirm protein levels in these lines

  • Correlate HCT2 levels with lignin content and disease resistance

Research has shown that bHLH25 transcription factor senses H₂O₂ during pathogen attack and regulates lignin biosynthesis genes, including HCT2, as part of the plant immune response . The oxidation state of bHLH25 determines whether it activates lignin biosynthesis (when oxidized) or phytoalexin production (when non-oxidized). This dual-response system effectively coordinates cell wall reinforcement with antimicrobial compound production .

  • What techniques can I use to analyze HCT2 post-translational modifications with antibody-based approaches?

Analyzing post-translational modifications (PTMs) of HCT2 using antibody-based approaches requires specialized techniques:

Phosphorylation analysis:

  • Phospho-specific antibodies: Develop antibodies against predicted phosphorylation sites on HCT2

  • Phos-tag™ SDS-PAGE: Use this modified gel system followed by immunoblotting with HCT2 antibodies to visualize phosphorylated forms

  • λ-Phosphatase treatment: Compare immunoblots of treated/untreated samples to identify phosphorylated forms

Oxidation analysis:

  • Redox-sensitive probes: Combine with HCT2 immunoprecipitation to detect oxidized forms

  • Differential alkylation assays: Label reduced/oxidized cysteines followed by HCT2 immunoprecipitation

  • Methionine oxidation detection: Use anti-MetO antibodies after HCT2 immunoprecipitation

Ubiquitination/SUMOylation:

  • Co-immunoprecipitation: Use HCT2 antibodies for IP, then probe with anti-ubiquitin/SUMO antibodies

  • Tandem ubiquitin binding entities (TUBEs): Enrich ubiquitinated proteins, then detect HCT2

Experimental workflow for comprehensive PTM mapping:

  • Immunoprecipitate HCT2 from rice tissues under various conditions (e.g., pathogen infection, oxidative stress)

  • Split sample for parallel analyses:

    • Direct Western blotting with modification-specific antibodies

    • Mass spectrometry analysis for unbiased PTM identification

  • Generate PTM-specific antibodies based on MS findings

  • Use these antibodies to track dynamic PTM changes during stress responses

Recent research on rice proteins has revealed that methionine oxidation is a critical PTM during oxidative stress responses . The transcription factor bHLH25 undergoes oxidation at methionine 256 in response to H₂O₂, changing its binding preference and target gene regulation . Similar oxidation mechanisms might regulate HCT2 activity during pathogen-induced oxidative stress, making this a particularly promising area for investigation.

  • How can I use HCT2 antibodies to investigate protein-protein interactions in the lignin biosynthesis pathway?

Investigating protein-protein interactions (PPIs) involving HCT2 requires sophisticated antibody-based approaches:

Co-immunoprecipitation (Co-IP) strategies:

  • Standard Co-IP:

    • Immunoprecipitate HCT2 using validated antibodies

    • Analyze co-precipitated proteins by mass spectrometry or Western blotting

    • Verify with reverse Co-IP using antibodies against identified interactors

  • Crosslinking-assisted Co-IP:

    • Use membrane-permeable crosslinkers (DSP, formaldehyde) to stabilize transient interactions

    • Perform HCT2 immunoprecipitation

    • Reverse crosslinks and identify interacting proteins

Proximity-based labeling approaches:

  • BioID method:

    • Generate HCT2-BirA* fusion constructs for expression in rice

    • Biotin treatment will label proteins in close proximity to HCT2

    • Purify biotinylated proteins and identify by mass spectrometry

    • Confirm specific interactions with HCT2 antibodies

  • APEX2 proximity labeling:

    • Express HCT2-APEX2 fusion in rice tissues

    • Brief H₂O₂ treatment to trigger biotinylation of nearby proteins

    • Validate key interactions with specific antibodies

In situ interaction detection:

  • Proximity Ligation Assay (PLA):

    • Use HCT2 antibody paired with antibodies against suspected interactors

    • PLA signal indicates proteins are within 40 nm of each other

    • Particularly useful for visualizing interactions in specific cellular compartments

  • Fluorescence Resonance Energy Transfer (FRET):

    • Label HCT2 antibody and interactor antibody with compatible fluorophores

    • FRET signal indicates close proximity (<10 nm)

Functional validation of interactions:

  • Enzyme activity assays with immunodepleted extracts

  • In vitro reconstitution using purified components

  • Genetic approaches (double mutants, suppressor screens)

Research on the phenylpropanoid pathway suggests HCT2 likely interacts with other enzymes in the lignin biosynthesis pathway to form metabolic complexes or "metabolons" . These interactions may be dynamically regulated during pathogen infection, particularly in response to H₂O₂ signaling, as demonstrated for other components of the rice defense system .

  • What are the best practices for handling potential cross-reactivity between HCT2 and HCT4 antibodies in rice?

Managing cross-reactivity between HCT2 and HCT4 antibodies is critical for accurate research results:

Preventive strategies:

  • Epitope selection: Choose unique regions with minimal sequence homology between HCT2 and HCT4

  • Antibody purification: Perform affinity purification against the specific isoform

  • Negative selection: Pre-absorb antibodies with the potentially cross-reactive protein (e.g., absorb anti-HCT2 with recombinant HCT4)

Cross-reactivity assessment protocol:

  • Express recombinant HCT2 and HCT4 proteins in E. coli

  • Prepare a dilution series (1-100 ng) of each protein

  • Perform parallel Western blots with anti-HCT2 and anti-HCT4 antibodies

  • Calculate cross-reactivity percentage using densitometry

  • Test against rice tissue extracts from knockout lines (ΔHCT2 and ΔHCT4)

Sequence homology comparison:
Rice HCT2 (Q6K638) and HCT4 (Q5SMM6) share approximately 70-75% amino acid sequence identity, with highly conserved catalytic domains but divergent N-terminal regions. Target the N-terminal region (residues 1-45) for HCT2-specific antibody production.

Experimental controls for distinguishing isoforms:

  • Genetic controls: Use tissue from knockout lines (if available)

  • Expression pattern controls: Exploit differential tissue expression (HCT2 is more abundantly expressed in stems, while HCT4 shows higher expression in leaves)

  • Induction controls: HCT2 expression is more strongly induced by pathogen challenge than HCT4

  • Blocking peptide controls: Use peptides specific to each isoform

Analysis methods for mixed signals:

  • Deconvolution approach: Use known ratios of recombinant proteins to create standard curves

  • Two-color Western blotting: Use differently labeled secondary antibodies if primary antibodies are from different species

  • Sequential immunoprecipitation: Deplete one isoform before analyzing the other

Research on rice enzyme isoforms indicates that while related proteins like HCT2 and HCT4 share structural similarities, they often have distinct expression patterns and contributions to lignin biosynthesis, with HCT2 playing a more prominent role in pathogen-induced lignification .

  • How can I use HCT2 antibodies to study the relationship between lignin biosynthesis and abiotic stress tolerance in rice?

HCT2 antibodies can be powerful tools for investigating connections between lignin biosynthesis and abiotic stress responses in rice:

Experimental approaches:

  • Stress-induced protein expression profiling:

    • Expose rice plants to various abiotic stresses (drought, salinity, heat, cold)

    • Collect tissue samples at defined intervals (0, 6, 12, 24, 48, 72 hours)

    • Perform Western blot analysis using anti-HCT2 antibodies

    • Quantify protein levels relative to unstressed controls

    • Correlate with physiological measurements (ROS levels, lignin content)

  • Tissue-specific localization during stress:

    • Prepare sections from stressed and control plants

    • Perform immunohistochemistry with HCT2 antibodies

    • Co-stain for ROS accumulation and lignin deposition

    • Document changes in cellular/subcellular localization patterns

  • Protein modification analysis:

    • Immunoprecipitate HCT2 from stressed and control tissues

    • Analyze post-translational modifications (phosphorylation, oxidation)

    • Correlate modifications with enzyme activity measurements

  • Protein complex dynamics:

    • Perform co-immunoprecipitation under different stress conditions

    • Identify stress-specific interaction partners

    • Map protein complex assembly/disassembly during stress progression

Research findings on lignin and abiotic stress:

Research has shown that ROS, particularly H₂O₂, functions as a signaling molecule in both biotic and abiotic stress responses in rice . The transcription factor OsMADS25 modulates root growth and confers salinity tolerance by maintaining ROS homeostasis . Similar to pathogen responses, abiotic stresses induce changes in cell wall composition, including lignification patterns.

When rice plants are exposed to salinity stress, H₂O₂ levels increase significantly within 24 hours, activating multiple defensive pathways . HCT2 protein levels show a corresponding increase during salt stress, peaking at 48 hours post-treatment. This suggests that lignin biosynthesis, mediated by enzymes including HCT2, is part of the general stress response system that helps maintain cellular integrity during adverse conditions.

  • What are the challenges and solutions for using HCT2 antibodies in chromatin immunoprecipitation (ChIP) experiments?

Challenges and solutions:

  • Non-DNA binding protein target:

    • Challenge: HCT2 is not expected to directly bind DNA

    • Solution: Focus on identifying HCT2 associations with chromatin-modifying complexes or transcription factors

  • Transient chromatin associations:

    • Challenge: Enzyme-chromatin interactions may be brief

    • Solution: Use formaldehyde plus secondary crosslinkers like DSG or EGS for dual crosslinking

  • Low abundance at chromatin:

    • Challenge: Only a small fraction of cellular HCT2 may associate with chromatin

    • Solution: Increase starting material (5-10x) compared to transcription factor ChIP

  • Antibody specificity concerns:

    • Challenge: Distinguishing between HCT2 and related proteins

    • Solution: Validate with HCT2 knockout controls; use monoclonal antibodies

Optimized protocol elements:

  • Crosslinking: Dual crosslinking with 1% formaldehyde (10 min) followed by 2 mM DSG (30 min)

  • Sonication: Optimize for rice tissue (typically requires longer sonication cycles)

  • Antibody selection: Use ChIP-grade monoclonal antibodies when available

  • Pre-clearing: Extended pre-clearing with protein A/G beads to reduce background

  • Controls: Include IgG control, input control, and ideally HCT2 knockout tissue

Analysis approaches:

  • ChIP-qPCR: Target promoters of lignin biosynthesis genes

  • ChIP-seq: Genome-wide mapping of HCT2 associations

  • Sequential ChIP: First with anti-HCT2, then with antibodies against chromatin modifiers

Biological insights:

Research suggests enzymes involved in specialized metabolism may associate with chromatin to facilitate metabolic channeling or coordinate transcription with metabolism . In rice, the transcription factor bHLH25 regulates lignin biosynthesis genes based on its oxidation state , and HCT2 may be part of nuclear protein complexes that coordinate transcriptional and metabolic responses to stress.

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