AtERF73/HRE1 is a transcriptional activator crucial for the hypoxic stress response. It activates transcription via the GCC cis-acting element. This protein plays a significant role in low-oxygen signaling, contributing to anoxia tolerance by enhancing anaerobic gene expression and ethanolic fermentation. Furthermore, AtERF73/HRE1 modulates ethylene responses under both normoxic and hypoxic conditions. Primarily, it's responsible for transactivating hypoxia-responsive genes and is involved in root development by regulating root meristem cell division. Importantly, AtERF73/HRE1 does not activate transcription via the CRT/DRE cis-acting element.
Key Functions of AtERF73/HRE1:
ERF073 (AT1G72360) is a transcription factor belonging to the ERF group VII family in Arabidopsis thaliana. It functions within the ethylene response pathway and may be involved in stress responses, particularly oxidative stress signaling mechanisms. This protein has gained attention due to its potential role in oxylipin signaling pathways .
As a transcription factor, ERF073 binds to specific DNA sequences to regulate gene expression. Understanding its function provides insights into how plants respond to environmental stresses and regulate growth, making it valuable for both basic plant science and potential agricultural applications.
ERF073 antibodies are primarily used in the following research applications:
Western blotting: For detecting ERF073 protein expression levels (typically at ~25-30 kDa depending on modifications)
Immunoprecipitation: To isolate ERF073 and associated protein complexes
Chromatin Immunoprecipitation (ChIP): For identifying DNA binding sites of ERF073
Immunohistochemistry/Immunofluorescence: To visualize tissue and cellular localization
Recent methodological advances have expanded applications to include:
Protein-protein interaction studies: Identifying binding partners using co-immunoprecipitation with ERF073 antibodies
Post-translational modification analysis: Detecting specific modifications that regulate ERF073 activity
Proper validation of ERF073 antibodies is critical for reliable results. A comprehensive validation approach should include:
Primary validation methods:
Western blot with positive controls: Using plant tissues known to express ERF073 (e.g., Arabidopsis seedlings exposed to hypoxia conditions)
Negative controls: Testing with erf073 knockout/mutant lines to confirm absence of band
Epitope competition assays: Pre-incubating antibody with purified antigen/peptide before immunoblotting
Secondary validation methods:
Testing cross-reactivity: With closely related ERF family members
Comparing multiple antibodies: If available, using different antibodies raised against different epitopes of ERF073
Mass spectrometry validation: Of immunoprecipitated proteins to confirm antibody specificity
Based on standard practices for plant antibodies and recommendations for similar research antibodies:
Storage recommendations:
Store antibody aliquots at -20°C for long-term storage (avoid repeated freeze-thaw cycles)
For working aliquots, store at 4°C in the dark for up to 3 months
For conjugated antibodies (e.g., fluorophore-labeled), additional protection from light is essential
Buffer conditions:
Most primary antibodies are stable in phosphate-buffered saline (PBS) or Tris-buffered saline (TBS)
Addition of 0.02% sodium azide can prevent microbial contamination
For fragmentation-prone antibodies, addition of stabilizing proteins (BSA, 1-5%) may be beneficial
Handling practices:
Minimize repeated freeze-thaw cycles by preparing small aliquots
Centrifuge vials briefly before opening to collect liquid at the bottom
Use sterile techniques when handling antibody solutions
Robust experimental design requires appropriate controls:
Essential controls for immunoblotting:
Control Type | Purpose | Implementation |
---|---|---|
Positive control | Verify antibody function | Sample known to express ERF073 (e.g., Arabidopsis under hypoxia) |
Negative control | Assess specificity | erf073 mutant/knockout plant material |
Loading control | Ensure equal loading | Probe for constitutively expressed protein (e.g., actin, GAPDH) |
Secondary antibody control | Check for non-specific binding | Omit primary antibody, keep secondary antibody |
Size marker | Verify molecular weight | Standard protein ladder |
For enhanced reliability, especially in novel experimental systems, consider including:
Peptide competition assay (pre-incubation of antibody with immunizing peptide)
Multiple antibody validation (using different antibodies against ERF073 if available)
ChIP experiments with transcription factors like ERF073 present unique challenges. Optimization strategies include:
Critical parameters for successful ChIP with ERF073 antibodies:
Crosslinking optimization:
Test varied formaldehyde concentrations (0.75-1.5%)
Optimize crosslinking times (5-20 minutes) to balance efficiency vs. reversal
Consider dual crosslinkers (DSG followed by formaldehyde) for enhanced TF-DNA preservation
Chromatin fragmentation:
Target 200-500 bp fragments for optimal resolution
Compare sonication vs. enzymatic digestion methods
Verify fragmentation efficiency by gel electrophoresis
Antibody selection and validation:
Test antibodies raised against different epitopes
Validate antibody ChIP efficiency using known ERF073 target genes
Consider ChIP-grade antibodies specifically validated for this application
Protocol enhancements:
Include specialized detergents (e.g., 0.3% SDS in IP buffer)
Optimize wash stringency to reduce background
Consider two-step IP protocols for challenging TFs
A pilot ChIP-qPCR experiment focusing on known or predicted ERF073 binding sites should precede ChIP-seq to validate the protocol's effectiveness.
Investigating ERF073 interactions with other proteins requires specialized approaches:
Co-immunoprecipitation (Co-IP) optimization:
Buffer composition is critical—test various detergent types/concentrations (NP-40, Triton X-100) to preserve interactions
Consider crosslinking approaches for transient interactions
Include RNase treatment to distinguish direct protein interactions from RNA-mediated associations
Advanced interaction methodologies:
Proximity-dependent labeling:
BioID or TurboID fusions with ERF073 combined with antibody-based purification
APEX2 proximity labeling for temporal resolution of interactions
Fluorescence-based interaction assays:
Fluorescence resonance energy transfer (FRET) using fluorophore-conjugated antibodies
Bimolecular fluorescence complementation (BiFC) with antibody validation
Mass spectrometry approaches:
Antibody-based purification followed by MS/MS analysis
SILAC or TMT labeling for quantitative interactome analysis
When investigating interactions with specific candidate proteins, reciprocal Co-IPs (using antibodies against both ERF073 and the candidate partner) provide stronger evidence of direct interaction.
Post-translational modifications likely regulate ERF073 activity. Specialized approaches include:
Detection of specific modifications:
Modification | Detection Method | Technical Considerations |
---|---|---|
Phosphorylation | Phospho-specific antibodies; Phos-tag gels | Phosphatase inhibitors critical; may require enrichment |
SUMOylation | IP followed by anti-SUMO blotting | SUMO proteases must be inhibited; denaturing conditions may be needed |
Ubiquitination | IP under denaturing conditions | Proteasome inhibitors required; detect with anti-ubiquitin antibodies |
Acetylation | IP followed by anti-acetyl-lysine detection | Deacetylase inhibitors necessary |
Advanced PTM analysis workflow:
Immunoprecipitate ERF073 using validated antibodies
Perform targeted western blots with modification-specific antibodies
Confirm by mass spectrometry to identify specific modified residues
Create site-specific mutants to test functional significance
When studying PTMs of ERF073, appropriate controls must include both wild-type and mutant proteins (where the putative modification sites are altered) to confirm specificity.
When faced with inconsistent results using ERF073 antibodies, employ systematic troubleshooting:
Systematic resolution approach:
Antibody validation reassessment:
Confirm antibody specificity with knockout/mutant controls
Test multiple antibodies targeting different epitopes
Validate with orthogonal methods (e.g., mass spectrometry)
Technical optimization:
Systematically vary extraction buffers to preserve protein integrity
Test multiple fixation protocols for immunohistochemistry
Optimize antibody concentration through titration experiments
Biological variables consideration:
Evaluate tissue-specific expression patterns
Assess developmental timing effects
Consider stress-induced changes in expression or localization
Advanced confirmation techniques:
Epitope-tagged transgenic lines for antibody-independent detection
CRISPR/Cas9 epitope tagging of endogenous ERF073
Orthogonal detection methods (fluorescent proteins, enzyme reporters)
Document all optimization steps and report conditions transparently in publications to facilitate reproducibility across laboratories.
Modern plant molecular biology benefits from integrating antibody-based techniques with other omics approaches:
Integration strategies:
ChIP-seq/CUT&RUN with transcriptomics:
Map ERF073 binding sites genome-wide using ChIP-seq
Correlate with RNA-seq data from wild-type vs. erf073 mutants
Identify direct transcriptional targets by overlapping datasets
Proteomics integration:
Combine Co-IP using ERF073 antibodies with mass spectrometry
Correlate with changes in global proteome in response to stimuli
Validate key interactions with targeted approaches
Spatial omics approaches:
Use ERF073 antibodies for in situ protein localization
Correlate with spatial transcriptomics data
Map regulatory networks in specific cell types/tissues
Network analysis:
Combine ChIP-seq, protein interaction, and expression data
Build gene regulatory networks centered on ERF073
Validate key network edges with targeted experiments
This multi-omics integration can reveal ERF073's function across different biological scales, from molecular interactions to physiological responses.
Generating high-quality recombinant ERF073 protein is crucial for antibody production and validation:
Expression system comparison:
Expression System | Advantages | Limitations | Optimization Strategies |
---|---|---|---|
E. coli | Cost-effective; high yields; established protocols | Lacks plant PTMs; protein may be insoluble | Use solubility tags (MBP, SUMO); low temperature expression; codon optimization |
Insect cells | Better folding than bacteria; moderate PTMs | More complex; higher cost; slower | Optimize signal peptides; use strong viral promoters; optimize cell density |
Plant expression | Native PTMs; proper folding | Lower yields; time-consuming | Transient expression in N. benthamiana; use viral vectors for enhanced expression |
For antibody production against ERF073, expressing the DNA-binding domain alone often yields higher success rates than full-length protein. Alternatively, synthetic peptides corresponding to unique regions of ERF073 can be used for antibody production.
When expressing in E. coli, optimization techniques such as those used for other transcription factors can be applied .
Non-specific binding is a common challenge when working with plant transcription factor antibodies:
Systematic troubleshooting approach:
Antibody optimization:
Blocking optimization:
Compare different blocking agents (BSA, milk, commercial blockers)
Optimize blocking time and temperature
Consider adding non-ionic detergents (0.05-0.1% Tween-20)
Sample preparation refinement:
Improve protein extraction methods to reduce interfering compounds
Use nuclear extraction for enrichment of transcription factors
Consider additional purification steps before immunoblotting
Advanced techniques for reducing background:
Pre-adsorb antibody with plant extracts from knockout/mutant lines
Use highly specific detection systems (e.g., TrueBlot®)
Consider monovalent antibody fragments for certain applications
When working with plant samples, special attention must be paid to endogenous plant compounds that may interfere with antibody binding. Including PVPP or specific protease inhibitors can significantly improve specificity.
ERF073 belongs to a family of transcription factors involved in stress responses, making antibodies valuable tools for stress biology research:
Research applications in stress biology:
Stress-specific expression patterns:
Monitor ERF073 protein levels under various stresses (hypoxia, drought, oxidative stress)
Compare protein vs. transcript dynamics to identify post-transcriptional regulation
Map tissue-specific expression under stress conditions
Stress signaling pathway elucidation:
Use phospho-specific antibodies to track ERF073 activation
Perform chromatin immunoprecipitation after stress exposure
Identify stress-specific protein interaction partners
Crosstalk with hormone signaling:
Investigate ERF073 regulation by ethylene, jasmonate, and other hormone pathways
Study changes in PTMs in response to hormone treatments
Map differential binding patterns after hormone application
Understanding the role of ERF073 in stress responses may provide insights for developing crops with enhanced stress tolerance, similar to what has been observed with related ERF transcription factors like ERF106 and ERF107 .
Several cutting-edge technologies show promise for expanding ERF073 antibody applications:
Proximity labeling approaches:
TurboID or APEX2 fusions with ERF073 to map protein interaction networks
Proximity-dependent biotinylation followed by antibody-based detection
Super-resolution microscopy:
STORM/PALM microscopy with fluorophore-conjugated ERF073 antibodies
Multi-color imaging to visualize co-localization with interaction partners
Single-cell protein analysis:
Adaptation of antibody-based detection for single-cell proteomics
Spatial proteomics to map ERF073 distribution within tissues
Synthetic antibody alternatives:
CRISPR-based tagging:
Endogenous tagging of ERF073 for antibody-independent validation
CUT&Tag approaches for more efficient chromatin profiling
Multiple approaches can be used to study ERF073, each with distinct advantages and limitations:
Comparative analysis of methods:
Method | Advantages | Limitations | Best Applications |
---|---|---|---|
Antibody-based detection | Detects endogenous protein; PTM analysis; no genetic modification needed | Specificity concerns; may not detect all isoforms | Protein expression studies; ChIP; co-IP |
Fluorescent protein fusions | Live imaging; dynamics studies; no antibodies needed | May affect protein function; overexpression artifacts | Localization; protein dynamics; FRET studies |
Epitope tagging | Highly specific detection; commercially available antibodies | Requires genetic modification; tag may affect function | Interaction studies; ChIP-seq; cases where specific antibodies unavailable |
MS-based proteomics | Unbiased; identifies PTMs; no antibody requirements | Lower sensitivity; complex sample preparation | Global proteomic studies; PTM mapping |
Genetic approaches | Functional insights; in vivo relevance; no antibody artifacts | Indirect measurement of protein function; compensation effects | Phenotypic studies; genetic screens; in vivo function |
A comprehensive understanding of ERF073 function is best achieved through integration of multiple approaches. Antibody-based methods provide direct detection of the endogenous protein and its modifications, while complementary approaches offer functional insights.