ERF017 (Ethylene-responsive transcription factor ERF017) is a member of the DREB subfamily A-5 of the ERF/AP2 transcription factor family. The protein contains one AP2 domain and plays significant roles in plant stress responses. In Arabidopsis thaliana, it is encoded by gene AT1G19210 (also known as T29M8.8 or T29M8_8) . Recent studies have identified a homolog in Cucurbita moschata (pumpkin), CmoERF017, as a positive regulator in response to low-temperature stress, affecting root ABA synthesis and signaling by directly regulating the expression of SDR7 and ABI5 .
ERF017 is particularly important as part of a 15-member subfamily that includes RAP2.1, RAP2.9, and RAP2.10, all implicated in various plant stress responses and developmental processes .
ERF017 antibodies can be utilized in multiple experimental applications including:
Western Blotting (WB): For detection and quantification of ERF017 protein expression levels
Immunohistochemistry (IHC): To visualize the localization of ERF017 in plant tissue sections
Immunocytochemistry (ICC): For cellular localization studies
Immunofluorescence (IF): To visualize ERF017 distribution within cells using fluorescent detection
Flow Cytometry: For quantitative analysis of ERF017 expression at the cellular level
Immunoprecipitation (IP): For isolating ERF017 and associated protein complexes
ELISA: For quantitative measurement of ERF017 in plant extracts
The selection of application depends on your specific research question, tissue type, and experimental design.
For optimal performance and longevity of ERF017 antibodies:
Store concentrated antibody solutions at -20°C for long-term storage (up to one year)
For frequent use and short-term storage (up to one month), store at 4°C
Avoid repeated freeze-thaw cycles which can compromise antibody functionality
When handling, maintain cold chain principles whenever possible
If provided in glycerol solution (common formulation: 1mg/ml in PBS with 0.02% sodium azide, 50% glycerol, pH7.2), ensure proper mixing after thawing
Always use appropriate safety protocols when handling antibody solutions containing preservatives like sodium azide
These storage guidelines apply to most polyclonal antibodies against ERF017, though specific storage instructions may vary by manufacturer.
Rigorous validation of ERF017 antibody specificity is essential before experimental use. A comprehensive validation strategy should include:
Western blot analysis:
Use positive control samples (e.g., Jurkat cell lysates have been documented)
Include negative controls (tissues/cells known not to express ERF017)
Validate band size corresponds to predicted molecular weight (~68 kDa)
Consider using recombinant ERF017 protein as additional positive control
Peptide competition assay:
Pre-incubate antibody with excess immunizing peptide
Compare signal with and without peptide blocking
Specific antibodies will show diminished signal when blocked
Knockout/knockdown validation:
Use CRISPR/Cas9 or RNAi approaches to create ERF017-deficient samples
Compare antibody reactivity between wild-type and knockout/knockdown samples
Cross-reactivity assessment:
Test against related ERF family members to confirm specificity
Especially important since there are 15 members in the DREB subfamily A-5
Orthogonal method comparison:
Document all validation steps thoroughly for publication and reproducibility purposes.
Optimal antibody dilution varies by application, detection method, and antibody characteristics. For ERF017 antibodies, the following starting dilutions are recommended:
| Application | Recommended Dilution Range | Optimization Approach |
|---|---|---|
| Western Blot | 1:500-1:1,000 | Serial dilution testing with consistent protein load |
| ICC/IF | 1:50-1:200 | Titration series with fixed cell preparation |
| IHC | 1:50-1:200 | Gradient testing with consistent tissue processing |
| Flow Cytometry | 1:50-1:100 | Comparative analysis with isotype controls |
Optimization Protocol:
Test three dilutions within the recommended range
Use identical sample preparation methods across dilutions
Include appropriate positive and negative controls
Evaluate signal-to-noise ratio, background staining, and specific signal intensity
For fluorescence applications, assess autofluorescence contribution
The optimal dilution is one that provides maximum specific signal with minimal background.
Effective extraction of ERF017 from plant tissues requires careful consideration of buffer composition and extraction conditions:
Recommended Extraction Protocol:
Buffer Composition:
Base buffer: 50mM Tris-HCl pH 7.5, 150mM NaCl
Detergent: 0.5-1% Triton X-100 or 0.1-0.5% NP-40
Protease inhibitors: Complete protease inhibitor cocktail
Phosphatase inhibitors (if studying phosphorylation status)
Reducing agent: 1-5mM DTT or β-mercaptoethanol
EDTA: 1-2mM to inhibit metalloproteases
Extraction Procedure:
Flash-freeze tissue samples in liquid nitrogen
Grind to fine powder using mortar and pestle while maintaining freezing temperature
Add extraction buffer at 3-5 ml per gram of tissue
Homogenize thoroughly with minimum heat generation
Centrifuge at 12,000-15,000g for 15-20 minutes at 4°C
Collect supernatant and determine protein concentration
Prepare aliquots to avoid freeze-thaw cycles
Special Considerations for Transcription Factors:
Consider nuclear extraction protocols for enrichment
Nuclear lysis buffers may improve extraction efficiency
DNase treatment may be necessary to reduce viscosity and improve purity
Storage of Extracts:
This protocol maximizes the recovery of active ERF017 protein while minimizing degradation.
Cross-reactivity assessment is critical for studies comparing ERF017 across species or when working with non-model plants. A systematic approach includes:
Sequence homology analysis:
Perform multiple sequence alignment of ERF017 protein sequences from target species
Identify conservation in the epitope region recognized by the antibody
Calculate percent identity and similarity in key regions
Western blot validation:
Test identical protein amounts from multiple species
Include positive control (Arabidopsis thaliana samples)
Document molecular weight variations across species
Analyze band patterns for specificity
Epitope competition assay:
Design peptides representing potential cross-reactive regions
Test antibody binding with and without peptide competition
Quantify relative binding affinity across species
Recombinant protein testing:
Express ERF017 homologs from different species
Compare antibody reactivity in controlled conditions
Calculate relative detection sensitivity
Known homolog testing:
A thorough comparison table documenting cross-reactivity can be valuable for publication and collaborative research efforts.
ERF017 antibodies can provide valuable insights into transcription factor behavior during stress responses through multiple experimental approaches:
Chromatin Immunoprecipitation (ChIP) Assays:
Use ERF017 antibodies to precipitate DNA-protein complexes
Identify direct binding targets through ChIP-seq or ChIP-qPCR
Map genome-wide binding profiles under different stress conditions
Compare binding sites during normal vs. stress conditions (e.g., cold stress)
Co-Immunoprecipitation (Co-IP) Studies:
Identify protein interaction partners during stress responses
Compare interaction networks between normal and stress conditions
Validate specific interactions with known stress response factors
Time-Course Expression Analysis:
Monitor ERF017 protein levels at different time points following stress exposure
Correlate protein expression with transcriptional changes of target genes
Assess post-translational modifications under stress conditions
Nuclear-Cytoplasmic Fractionation:
Track subcellular localization changes during stress response
Quantify nuclear accumulation kinetics following stress
Correlate localization with transcriptional activity
Pulse-Chase Experiments:
Determine protein turnover rates during stress adaptation
Compare stability under normal vs. stress conditions
Immunofluorescence Microscopy:
This multi-faceted approach allows comprehensive characterization of ERF017's role in stress response pathways, particularly in cold tolerance mechanisms as identified in recent CmoERF017 studies.
Investigating ERF017's role in hormone signaling requires integrative experimental approaches:
Hormone Treatment Studies:
Treat plant tissues with hormones (ethylene, ABA) at various concentrations
Monitor ERF017 protein levels via Western blot with anti-ERF017 antibodies
Assess changes in subcellular localization using immunofluorescence
Compare wild-type response to ERF017 overexpression/knockout lines
ChIP-seq After Hormone Treatment:
Perform chromatin immunoprecipitation with ERF017 antibodies following hormone exposure
Identify differential binding sites after hormone treatment
Map binding motifs to hormone-responsive elements
Correlate with transcriptomic changes in hormone response genes
Protein-Protein Interaction Networks:
Use ERF017 antibodies for co-IP followed by mass spectrometry
Identify interactions with known hormone signaling components
Validate key interactions through bimolecular fluorescence complementation
Construct interaction networks under different hormone treatments
Transcriptional Reporter Assays:
Use ERF017 antibodies to confirm binding to promoters of interest
Correlate binding with reporter gene expression
Test effects of hormone pathway mutants on ERF017-dependent transcription
Assess cooperative effects with other transcription factors
Targeted Analysis of ERF017-Hormone Connections:
This systematic approach will provide mechanistic insights into how ERF017 integrates into hormone signaling networks, particularly in stress response pathways.
Developing highly specific ERF017 antibodies requires strategic approaches:
Epitope Selection Strategies:
Analyze sequence alignment of all 15 DREB subfamily A-5 members
Identify regions unique to ERF017 outside the conserved AP2 domain
Prioritize sequences with high antigenicity and surface exposure
Consider multiple epitopes for comprehensive coverage
Advanced Antibody Engineering Approaches:
Generate recombinant antibody fragments (Fab, scFv) for improved tissue penetration
Apply phage display selection with negative selection steps against related family members
Implement affinity maturation to enhance binding specificity
Consider intrabody development for subcellular targeting
Validation with Advanced Controls:
Create CRISPR/Cas9 knockout lines of ERF017
Generate cell lines with controlled expression of ERF017 variants
Develop epitope-tagged ERF017 reference materials
Test against panels of related transcription factors
Application-Specific Antibody Development:
For ChIP applications: optimize for native epitope recognition
For microscopy: select epitopes accessible in fixed samples
For in vivo tracking: develop non-interfering binding sites
For proximity labeling: create fusion-compatible antibody formats
Cross-Species Considerations:
These approaches can significantly improve antibody performance in challenging applications such as ChIP-seq, live-cell imaging, and studies of low-abundance transcription factor variants.
ERF017 antibodies offer powerful tools for evolutionary studies of transcription factor functions:
Cross-Species Immunoprecipitation:
Test ERF017 antibody reactivity across diverse plant species
Perform IP-MS to identify interaction partners in different species
Compare complex composition to infer functional conservation/divergence
Document differences in post-translational modifications
Chromatin Binding Conservation Analysis:
Conduct ChIP-seq in multiple species using validated cross-reactive antibodies
Compare binding motifs and genomic targets across evolutionary distance
Identify core conserved targets versus species-specific targets
Correlate binding patterns with phenotypic adaptations
Function-Structure Relationship Studies:
Immunoprecipitate ERF017 from different species
Analyze protein modifications and structural features
Correlate with functional differences in transcriptional activity
Map conservation of regulatory domains
Developmental Expression Profiling:
Use antibodies for immunohistochemistry across diverse species
Compare tissue/cell-specific expression patterns
Document developmental timing differences
Correlate with evolutionary adaptations
Phylogenetic Applications:
This approach provides functional evidence to complement sequence-based evolutionary analyses of plant transcription factor families.
Based on recent discoveries about CmoERF017's role in cold tolerance, several approaches can be employed:
Temperature-Dependent Binding Studies:
Use ERF017 antibodies for ChIP-seq at different temperatures
Identify temperature-sensitive binding targets
Map cold-responsive element (CRE) motifs bound by ERF017
Compare with other cold-responsive transcription factors
Protein Complex Dynamics:
Immunoprecipitate ERF017 under normal and cold conditions
Identify temperature-dependent interaction partners
Analyze complex formation kinetics during temperature transitions
Test stability of interactions under varying temperature conditions
Genetic Complementation with Antibody Validation:
Create ERF017 knockout/knockdown lines
Complement with wild-type or mutant versions
Use antibodies to confirm expression levels
Correlate with cold tolerance phenotypes
Validate direct regulation of SDR7 and ABI5 as identified in CmoERF017 studies
Hormone Signaling Integration:
Investigate ERF017 protein levels after ABA treatment
Compare with cold-induced expression changes
Use antibodies to track nuclear localization during cold stress
Correlate with activation of ABA-responsive genes
Tissue-Specific Expression Analysis:
These approaches can validate and extend the findings from CmoERF017 studies to other plant species and provide mechanistic insights into cold tolerance pathways.
Integration of antibody-based protein studies with transcriptomics offers powerful insights:
ChIP-seq and RNA-seq Integration:
Perform ChIP-seq using ERF017 antibodies to identify binding sites
Conduct parallel RNA-seq to determine expression changes
Integrate datasets to identify direct transcriptional targets
Create comprehensive regulatory networks
Proteomics-Transcriptomics Correlation:
Use antibodies to quantify ERF017 protein levels
Compare with mRNA expression data from RNA-seq
Identify post-transcriptional regulatory mechanisms
Document protein-mRNA correlations during stress responses
Single-Cell Applications:
Combine single-cell transcriptomics with antibody-based imaging
Map cell-type specific expression patterns
Correlate with single-cell RNA-seq data
Identify heterogeneous responses within tissues
Time-Course Integration:
Track ERF017 protein expression kinetics with antibodies
Perform parallel RNA-seq at matching timepoints
Document delays between transcriptional activation and protein accumulation
Model temporal regulatory networks
Validation of QTL Studies:
Use antibodies to confirm expression of candidate genes identified in QTL studies
Correlate protein expression with phenotypic variation
Validate functional candidates from RNA-seq studies
Example from CmoERF017 research where RNA-seq and QTL-seq were integrated to identify a key cold tolerance gene
Researchers frequently encounter several challenges when working with ERF017 antibodies:
Low Signal Intensity:
Cause: Insufficient antibody concentration, low target abundance, or protein degradation
Solution: Optimize antibody concentration, enrich nuclear fraction for transcription factors, include protease inhibitors, and use fresh samples
High Background Signal:
Cause: Non-specific binding, insufficient blocking, or cross-reactivity
Solution: Increase blocking time/concentration, optimize antibody dilution, perform additional washing steps, pre-adsorb antibody with non-specific proteins
Inconsistent Results:
Cause: Variable sample preparation, antibody degradation, or technical inconsistencies
Solution: Standardize protocols, aliquot antibodies to avoid freeze-thaw cycles, include internal controls in every experiment
Poor Reproducibility in ChIP Experiments:
Cause: Inefficient chromatin shearing, suboptimal crosslinking, or epitope masking
Solution: Optimize sonication conditions, test different crosslinking times, verify antibody compatibility with fixed samples
Cross-Reactivity with Related Proteins:
Cause: Conserved domains across the ERF family
Solution: Validate specificity with knockout controls, use peptide competition assays, consider raising antibodies against unique regions
Quantification Challenges:
Cause: Variable loading, inconsistent transfer, or detection limitations
Solution: Use loading controls, implement internal standards, consider quantitative methods like ELISA or automated Western blot systems
Low Immunoprecipitation Efficiency:
Documentation of troubleshooting steps is essential for methods sections and laboratory records.
Ensuring consistency between antibody batches is critical for experimental reproducibility:
Standard QC Panel Testing:
Develop a standard panel of positive and negative control samples
Test each new batch against this panel using your primary application
Document signal intensity, background levels, and specific/non-specific bands
Calculate batch-to-batch variation coefficient
Quantitative Comparison Protocol:
Epitope Binding Validation:
Perform competitive binding assays with immunizing peptide
Compare inhibition curves between batches
Test cross-reactivity profiles with related proteins
Document any shifts in epitope preference
Application-Specific Testing:
Validate each batch specifically for your intended application
For ChIP applications, compare peak profiles and enrichment values
For imaging, evaluate background and specific signal intensity
For proximity labeling, compare labeling efficiency
Documentation and Record-Keeping: