ROC4 Antibody

Shipped with Ice Packs
In Stock

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
ROC4 antibody; GL2-4 antibody; Os04g0569100 antibody; LOC_Os04g48070 antibody; OSJNBb0032E06.7 antibody; Homeobox-leucine zipper protein ROC4 antibody; GLABRA 2-like homeobox protein 4 antibody; HD-ZIP protein ROC4 antibody; Homeodomain transcription factor ROC4 antibody; Protein RICE OUTERMOST CELL-SPECIFIC 4 antibody
Target Names
ROC4
Uniprot No.

Target Background

Function
ROC4 is a probable transcription factor.
Gene References Into Functions
  1. ROC4 acts as an LD-preferential flowering enhancer. It operates downstream of phytochromes and OsGI, but upstream of Ghd7. PMID: 27717449
Database Links

KEGG: osa:4336705

UniGene: Os.8833

Protein Families
HD-ZIP homeobox family, Class IV subfamily
Subcellular Location
Nucleus.

Q&A

What is ROC4 and why would researchers develop antibodies against it?

ROC4 (HD-ZIP transcription factor) plays a critical role in plant wax biosynthesis and drought stress response mechanisms. Research indicates that ROC4 functions as a putative ubiquitination substrate for the RING-type E3 ligase DHS (DROUGHT HYPERSENSITIVE), which together regulate rice wax biosynthesis through controlling ROC4 protein stability . Developing antibodies against ROC4 allows researchers to:

  • Track protein expression levels during various stress conditions

  • Study protein-protein interactions, particularly with E3 ligases like DHS

  • Investigate post-translational modifications affecting ROC4 stability

  • Examine subcellular localization patterns under different environmental conditions

  • Validate gene expression data at the protein level

The development of specific antibodies is essential for understanding the molecular mechanisms of drought response in crops, which has significant implications for agricultural sustainability.

What sample preparation methods are most effective for ROC4 antibody applications in plant tissues?

When working with plant tissues for ROC4 antibody applications, researchers should consider these preparation approaches:

  • Protein Extraction Buffer Selection:

    • Use buffers containing 50mM Tris-HCl (pH 7.5), 150mM NaCl, 1% Triton X-100, and protease inhibitor cocktail

    • For nuclear proteins like ROC4, include a nuclear extraction step using buffers with higher salt concentrations

    • Add phosphatase inhibitors when studying phosphorylation states

  • Tissue Homogenization Techniques:

    • Liquid nitrogen grinding followed by buffer addition provides best protein preservation

    • For rice tissues specifically, additional mechanical disruption may be required due to silica content

    • Consider using specialized plant protein extraction kits that account for phenolics and secondary metabolites

  • Pre-clearing Steps:

    • Implement centrifugation at 12,000×g for 15 minutes to remove cellular debris

    • Include a pre-clearing step with non-specific IgG when performing immunoprecipitation

    • Consider using plant-specific protein extraction protocols that account for high polysaccharide content

These preparation methods are critical for minimizing background and ensuring specific detection of ROC4 protein in experimental systems.

How can researchers validate the specificity of ROC4 antibodies in experimental systems?

Validating antibody specificity is crucial for obtaining reliable results. For ROC4 antibodies, consider these validation approaches:

  • Genetic Controls:

    • Use ROC4 knockout/knockdown plant lines as negative controls

    • Compare with ROC4 overexpression lines to confirm signal enhancement

    • Test in heterologous expression systems (e.g., protoplasts with ROC4-GFP fusion)

  • Analytical Validation:

    • Perform peptide competition assays using the immunizing peptide

    • Conduct Western blot analysis to confirm single band at expected molecular weight

    • Validate across different tissue types and developmental stages

    • Compare results from different antibody clones targeting distinct ROC4 epitopes

  • Specificity Testing Parameters:

    • Test cross-reactivity with related HD-ZIP family members

    • Perform immunoprecipitation followed by mass spectrometry analysis

    • Compare signal patterns with mRNA expression profiles across tissues/conditions

When validating antibodies against transcription factors like ROC4, it's particularly important to confirm nuclear localization through subcellular fractionation or immunofluorescence microscopy, as this provides additional evidence of specificity for the expected biological function.

What are the optimal methods for using ROC4 antibodies to study protein-protein interactions with DHS?

To investigate ROC4-DHS interactions using antibodies, researchers should consider these methodological approaches:

Co-immunoprecipitation (Co-IP) Protocol:

  • Extract proteins from plant tissues using gentle lysis buffers (e.g., 50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40)

  • Pre-clear lysates using protein A/G beads

  • Incubate with ROC4 antibody (or DHS antibody) overnight at 4°C

  • Capture complexes with protein A/G beads

  • Wash stringently (at least 4-5 times)

  • Elute and analyze by Western blot, probing for both ROC4 and DHS

Proximity Ligation Assay (PLA) Approach:
This technique can visualize protein interactions in situ with high specificity:

  • Fix plant tissues (4% paraformaldehyde)

  • Incubate with primary antibodies against ROC4 and DHS

  • Apply PLA probes and perform ligation and amplification

  • Analyze signal using confocal microscopy

Bimolecular Fluorescence Complementation (BiFC) Validation:
Although not directly using the antibody, this approach can validate Co-IP findings:

  • Create fusion constructs of ROC4 and DHS with split fluorescent protein halves

  • Express in plant protoplasts or whole plants

  • Analyze fluorescence restoration through microscopy

  • Use results to confirm antibody-based interaction studies

These methods should be integrated to provide multiple lines of evidence for ROC4-DHS interactions, with antibody-based approaches serving as the primary experimental tools .

What controls should be included when studying ROC4 protein levels during drought stress experiments?

When designing experiments to study ROC4 protein dynamics during drought stress, researchers should include these essential controls:

Experimental Controls Table:

Control TypePurposeImplementation
Negative ControlsValidate antibody specificityROC4 knockout/knockdown lines
Loading ControlsNormalize protein amountsAnti-Actin or anti-Tubulin antibodies
Treatment ControlsVerify stress responseWell-watered vs. drought-stressed plants
Time Course ControlsTrack dynamic changesSamples at multiple time points (0h, 6h, 12h, 24h, 48h, 7d)
Tissue-specific ControlsAccount for spatial variationCompare leaves, roots, stems separately
Subcellular Fraction ControlsVerify location-specific changesNuclear vs. cytoplasmic fractions
Developmental ControlsAccount for growth stage differencesCompare plants at different growth stages

Additionally, researchers should include parallel measurements of known drought-responsive proteins and corresponding gene expression analyses (RT-qPCR) to correlate protein-level changes with transcriptional regulation. Include DHS protein detection to analyze the relationship between ROC4 and its E3 ligase regulator during drought stress .

How can researchers effectively use ROC4 antibodies in chromatin immunoprecipitation (ChIP) experiments?

For investigating ROC4 binding to target promoters, ChIP experiments require specific optimization:

ChIP Protocol Optimization for ROC4:

  • Crosslinking Optimization:

    • Test different formaldehyde concentrations (0.5-3%)

    • Evaluate various crosslinking times (10-30 minutes)

    • Consider dual crosslinking with DSG (disuccinimidyl glutarate) followed by formaldehyde for transcription factors

  • Sonication Parameters:

    • Optimize sonication conditions to generate 200-500bp DNA fragments

    • Verify fragmentation efficiency by agarose gel electrophoresis

    • Consider plant-specific chromatin preparation methods that account for cell wall components

  • Antibody Incubation:

    • Test different antibody amounts (2-10μg per reaction)

    • Optimize incubation time (4 hours to overnight)

    • Include IgG control and input samples for normalization

  • Data Analysis Approach:

    • Analyze enrichment using qPCR for known or predicted ROC4 targets

    • Include negative control regions (non-target genomic regions)

    • Consider ChIP-seq for genome-wide binding profiles

To validate ChIP results, researchers should perform reporter gene assays or EMSA (Electrophoretic Mobility Shift Assay) to confirm direct binding of ROC4 to identified target sequences. Since ROC4 is an HD-ZIP transcription factor, look for enrichment of DNA sequences containing the typical binding motifs for this family of transcription factors.

What are common causes of non-specific binding when using ROC4 antibodies and how can they be addressed?

Non-specific binding is a frequent challenge in plant antibody applications. For ROC4 antibodies, consider these troubleshooting approaches:

Common Issues and Solutions:

  • High Background in Western Blots:

    • Increase blocking stringency (5% BSA or milk, overnight at 4°C)

    • Optimize antibody dilution (test 1:500 to 1:5000 range)

    • Increase washing duration and number of washes

    • Include 0.05-0.1% Tween-20 in washing buffer

    • Consider using TBS instead of PBS for phospho-specific detection

  • Multiple Bands in Immunoblotting:

    • Optimize protein extraction to minimize degradation (use fresh protease inhibitors)

    • Test different reducing conditions

    • Purify antibody using antigen affinity chromatography

    • Pre-absorb antibody with plant extracts from ROC4 knockout plants

    • Verify if bands represent post-translationally modified forms of ROC4

  • Non-specific Nuclear Staining in Immunofluorescence:

    • Include additional blocking steps with normal serum

    • Increase antibody dilution

    • Perform peptide competition controls

    • Use super-resolution microscopy to better distinguish specific signals

    • Compare staining patterns with ROC4-GFP fusion protein localization

Including appropriate negative controls such as pre-immune serum, isotype controls, or samples from ROC4 knockout plants is essential for distinguishing between specific and non-specific signals.

How can researchers optimize immunoprecipitation protocols for ROC4 when studying ubiquitination?

Given ROC4's interaction with the E3 ligase DHS , studying its ubiquitination requires specific protocol considerations:

Optimized Ubiquitination-IP Protocol:

  • Preparation of Plant Material:

    • Include proteasome inhibitors (MG132, 50μM) in extraction buffer

    • Add deubiquitinase inhibitors (N-Ethylmaleimide, 10mM)

    • Consider including 1% SDS with heat treatment followed by dilution to 0.1% SDS

    • Use young tissue with high protein synthesis/turnover rates

  • IP Strategy Options:

    • Direct IP: Use anti-ROC4 antibody to pull down ROC4 and detect ubiquitin

    • Tandem IP: First IP with anti-ROC4, then elute and re-IP with anti-ubiquitin

    • Consider denaturing conditions to disrupt protein-protein interactions

  • Detection Methods:

    • Western blotting with anti-ubiquitin antibodies

    • Mass spectrometry to identify ubiquitination sites

    • Use antibodies specific to different ubiquitin chain types (K48, K63)

  • Controls and Validation:

    • Compare samples with and without proteasome inhibitors

    • Include E3 ligase mutant (DHS knockout) plants

    • Compare samples from normal and drought stress conditions

    • Use ubiquitin mutants to confirm specificity

To specifically study the DHS-mediated ubiquitination of ROC4, researchers should perform comparative analyses between wild-type and DHS-deficient plants under both normal and drought stress conditions.

How should researchers interpret contradictory results between ROC4 protein detection and gene expression data?

Discrepancies between protein detection and transcript levels are common in biological research. When facing contradictory results with ROC4:

Systematic Analysis Approach:

  • Verify Technical Aspects:

    • Confirm antibody specificity through additional validation experiments

    • Check primer specificity for gene expression analysis

    • Ensure appropriate normalization for both protein and RNA data

    • Verify sample quality and experimental conditions

  • Consider Biological Explanations:

    • Post-transcriptional regulation (miRNA-mediated degradation)

    • Post-translational modifications affecting antibody recognition

    • Protein stability changes due to DHS-mediated ubiquitination

    • Differential regulation across subcellular compartments

    • Temporal delay between transcription and translation

  • Reconciliation Strategies:

    • Perform time-course experiments to detect temporal relationships

    • Analyze protein half-life using cycloheximide chase assays

    • Evaluate subcellular fractions separately

    • Investigate stress-specific regulatory mechanisms

    • Test for feedback regulation between protein abundance and gene expression

  • Integrative Analysis:

    • Use statistical methods to correlate patterns rather than absolute values

    • Apply systems biology approaches to model regulatory networks

    • Consider the influence of other interacting proteins (such as DHS)

Understanding that ROC4 is regulated by DHS through ubiquitin-mediated protein degradation provides a biological explanation for potential disconnects between mRNA and protein levels, particularly during stress responses .

What statistical approaches are most appropriate for analyzing ROC4 antibody-based experimental data?

Statistical Methodology Recommendations:

  • Quantitative Western Blot Analysis:

    • Perform minimum of 3-5 biological replicates

    • Use ANOVA with post-hoc tests for multi-group comparisons

    • Apply appropriate normalization to loading controls

    • Consider non-parametric tests if normality assumptions are violated

    • Use linear mixed models for complex experimental designs

  • Immunofluorescence Quantification:

    • Apply intensity threshold analysis with consistent parameters

    • Use Pearson's or Mander's coefficients for co-localization analysis

    • Implement cell-by-cell analysis rather than field averages

    • Consider 3D quantification for z-stack imaging data

  • ChIP-qPCR Data Analysis:

    • Use percent input or fold enrichment over IgG methods

    • Apply appropriate background subtraction

    • Consider Bayesian approaches for peak calling in ChIP-seq

    • Validate with multiple primer sets for target regions

  • Protein Interaction Studies:

    • Use co-localization coefficients with statistical testing

    • Apply permutation tests for complex interaction networks

    • Consider Bayesian approaches for interaction probability models

    • Implement FRET efficiency statistical analysis for proximity studies

When analyzing drought stress experiments, researchers should apply time-series statistical methods to account for the dynamic nature of stress responses and their impact on ROC4 protein levels.

How can ROC4 antibodies be used to investigate the temporal dynamics of stress response pathways?

Understanding the temporal regulation of ROC4 during stress responses requires specialized approaches:

Temporal Analysis Methodologies:

  • Time-Course Experimental Design:

    • Sample collection at key time points (0h, 0.5h, 1h, 3h, 6h, 12h, 24h, 48h, 7d)

    • Include both early and late response phases

    • Synchronize plants for developmental stage before stress application

    • Consider diurnal rhythm effects by consistent sampling times

  • Multiplexed Protein Detection:

    • Develop multiplexed Western blot or ELISA approaches

    • Combine ROC4 antibody with antibodies against other pathway components

    • Include phospho-specific detection for activation status

    • Correlate with ubiquitination status to track protein turnover

  • Single-Cell Resolution Approaches:

    • Apply immunohistochemistry with tissue-specific analysis

    • Implement cell-type specific isolation followed by immunoblotting

    • Consider microfluidic antibody-based detection systems

    • Correlate with cell-type specific transcriptomics

  • Systems-Level Integration:

    • Correlate protein dynamics with transcriptomic and metabolomic changes

    • Develop mathematical models of the ROC4-DHS regulatory network

    • Apply machine learning for pattern recognition in complex time-series data

    • Integrate with physiological measurements of drought response

What approaches can researchers use to study ROC4 post-translational modifications using antibody-based methods?

Post-translational modifications (PTMs) of ROC4 likely play crucial roles in its function and regulation:

PTM Analysis Strategies:

  • Phosphorylation Analysis:

    • Develop phospho-specific antibodies against predicted sites

    • Use Phos-tag SDS-PAGE followed by ROC4 antibody detection

    • Apply immunoprecipitation followed by mass spectrometry

    • Compare PTM patterns before and after stress treatment

  • Ubiquitination Detection:

    • Perform immunoprecipitation with ROC4 antibody followed by ubiquitin detection

    • Use tandem ubiquitin binding entities (TUBEs) to enrich ubiquitinated proteins

    • Apply linkage-specific ubiquitin antibodies to determine chain types

    • Correlate with DHS activity and stress conditions

  • Additional PTM Investigation:

    • SUMOylation: IP-based detection with SUMO-specific antibodies

    • Acetylation: Use anti-acetyl lysine antibodies after ROC4 IP

    • Methylation: Analyze using methylation-specific antibodies

    • Proteolytic processing: Compare fragment sizes using N and C-terminal antibodies

  • Functional Correlation:

    • Correlate PTM status with DNA binding activity (ChIP)

    • Analyze relationship between modifications and protein stability

    • Investigate PTM crosstalk (how one modification affects others)

    • Compare PTM profiles across different stress conditions

For techniques like immunoprecipitation, researchers should optimize salt concentrations (typically 100-300mM NaCl) and detergent types (0.1-1% NP-40 or Triton X-100) to maintain protein-protein interactions while minimizing background.

How might researchers develop improved ROC4 antibody-based tools for advanced applications?

As research on ROC4 advances, several innovative antibody-based approaches should be considered:

Next-Generation Antibody Tools:

  • Recombinant Antibody Development:

    • Generate single-chain variable fragments (scFvs) against ROC4

    • Engineer nanobodies for improved tissue penetration

    • Develop bispecific antibodies targeting ROC4 and interacting proteins

    • Create intrabodies for live-cell applications

  • Proximity Labeling Applications:

    • Conjugate ROC4 antibodies with biotin ligases (TurboID, BioID)

    • Develop antibody-based APEX2 fusion systems

    • Apply for in vivo proximity interactome mapping

    • Combine with mass spectrometry for comprehensive interaction profiling

  • Live-Cell Imaging Approaches:

    • Develop cell-permeable antibody fragments

    • Create antibody-based biosensors for conformational changes

    • Apply for real-time monitoring of ROC4 dynamics during stress

    • Implement optogenetic tools combined with antibody detection

  • High-Throughput Applications:

    • Develop antibody arrays for parallelized protein interaction studies

    • Apply microfluidic antibody-based detection systems

    • Create plant tissue-specific antibody panels

    • Implement single-cell resolution antibody detection methods

These advanced tools will enable researchers to move beyond static measurements to dynamic, real-time analysis of ROC4 function in plant stress responses, providing deeper insights into the temporal and spatial regulation of this important transcription factor.

What methodological considerations are important when using ROC4 antibodies across different plant species?

When extending ROC4 antibody applications to species beyond rice:

Cross-Species Application Strategy:

  • Epitope Conservation Analysis:

    • Perform sequence alignment of ROC4 homologs across target species

    • Identify conserved epitope regions for antibody selection

    • Consider using antibodies raised against conserved domains

    • Test epitope conservation using peptide competition assays

  • Validation Requirements:

    • Perform Western blot validation in each new species

    • Compare band patterns and molecular weights

    • Include positive controls from original species (rice)

    • Verify specificity using knockout/knockdown lines if available

  • Protocol Adaptations:

    • Modify extraction buffers based on species-specific components

    • Adjust antibody concentrations and incubation times

    • Optimize blocking agents to reduce species-specific background

    • Consider species-specific fixation protocols for immunohistochemistry

  • Interpretation Considerations:

    • Account for evolutionary differences in protein function

    • Consider species-specific post-translational modifications

    • Evaluate potential differences in subcellular localization

    • Interpret interaction data in context of species-specific pathways

For cross-species applications, researchers should focus on antibodies targeting the most conserved domains of ROC4, such as the HD-ZIP domain, rather than more variable regions that might differ between species.

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.