The term "ERF016" refers to Ethylene-Responsive Transcription Factor 16 (UniProt ID: Q9C591), a plant-derived protein involved in ethylene-mediated signaling pathways. Key features include:
Function: Acts as a transcriptional activator, binding to GCC-box promoter elements to regulate stress-responsive genes .
Structure: Contains an AP2/ERF DNA-binding domain typical of ethylene-responsive factors.
Role: Implicated in developmental processes and abiotic/biotic stress responses in plants .
Despite extensive searches across academic databases and commercial repositories (e.g., UniProt, PubMed, Thermo Fisher Scientific), no peer-reviewed studies, commercial products, or validation data for an antibody targeting ERF016 were identified in the provided sources. Key observations:
Search Result : The UniProt entry for ERF016 does not list any associated antibodies or experimental tools.
Other Sources: All antibody-related results focus on human therapeutics (e.g., anti-TNF antibodies ), infectious disease research (e.g., HIV , malaria ), or widely used markers like GFP .
Species Specificity: ERF016 is plant-derived, and antibodies against plant proteins are less commonly commercialized compared to human/mammalian targets.
Niche Research Application: ERF016 may not yet be a focus of large-scale studies requiring antibody development.
Antibodies require rigorous validation (e.g., knockout controls, epitope mapping) . No such data exists for ERF016 in the reviewed materials.
To address the lack of information on ERF016 antibodies:
Design Custom Antibodies: Collaborate with antibody production services to generate polyclonal/monoclonal antibodies against ERF016 epitopes.
Validate Specificity: Use CRISPR-edited plant lines (ERF016 knockout) to confirm antibody binding .
Explore Alternatives: Consider transcriptomic or proteomic methods (e.g., qPCR, mass spectrometry) as interim solutions.
While ERF016-specific data is unavailable, lessons from antibody validation workflows for other proteins can guide future efforts:
ERF016 (Ethylene-Responsive Transcription Factor 16) is a plant-derived protein (UniProt ID: Q9C591) that functions as a transcriptional activator within ethylene-mediated signaling pathways. The protein contains a characteristic AP2/ERF DNA-binding domain that enables it to bind to GCC-box pathogenesis-related promoter elements. ERF016's significance stems from its critical role in regulating gene expression during plant development and in response to various environmental stressors, including both abiotic and biotic challenges. Understanding ERF016 function provides valuable insights into plant stress adaptation mechanisms and developmental regulation pathways, making it an important target for agricultural research aimed at improving crop resilience.
ERF016 belongs to the ethylene-responsive element binding factor (ERF) family of transcription factors characterized by their AP2/ERF DNA-binding domain. This conserved domain enables sequence-specific DNA binding to GCC-box promoter elements found in stress-responsive genes. Structurally, the protein contains regions that facilitate nuclear localization, DNA binding, and transcriptional activation. Functionally, ERF016 operates as a transcription activator, influencing the expression of downstream genes involved in multiple physiological processes, particularly those related to stress responses and development. The protein's activity is often regulated through post-translational modifications and protein-protein interactions that modulate its DNA-binding capacity and transcriptional activation potential.
Developing antibodies against plant proteins like ERF016 presents several specific challenges. First, plant-derived proteins are generally less commonly targeted for commercial antibody development compared to mammalian proteins, resulting in fewer established protocols and reference materials. Second, plant transcription factors often exist in families with high sequence homology, making it difficult to generate antibodies with sufficient specificity to distinguish between closely related isoforms. Third, plant proteins may contain post-translational modifications that differ from those in expression systems used for recombinant protein production, potentially affecting epitope recognition. Additionally, the relatively low expression levels of transcription factors in plant tissues can complicate antigen preparation for immunization. These factors collectively contribute to the scarcity of validated antibodies for plant-specific proteins like ERF016.
For developing highly specific antibodies against ERF016, epitope selection should focus on unique regions that distinguish it from other ERF family members. The optimal approach involves computational analysis to identify:
Regions with low sequence homology to other AP2/ERF transcription factors
Surface-exposed peptides with high predicted antigenicity
Sequences outside the conserved AP2/ERF domain to avoid cross-reactivity
The most effective strategy combines:
| Epitope Type | Advantages | Considerations |
|---|---|---|
| N/C-terminal peptides | Often unique, less conserved | May be structurally disordered |
| Unique loop regions | Surface-exposed, accessible | Require structural prediction |
| Full-length protein | Provides multiple epitopes | Purification challenges |
For ERF016, targeting unique regions that flank the AP2/ERF domain while avoiding highly conserved DNA-binding motifs will likely yield the most specific antibodies. Since no validated ERF016 antibodies are currently reported in the literature, researchers should consider raising antibodies against multiple distinct epitopes simultaneously to increase success probability. Subsequent validation using knockout plant lines is essential to confirm specificity.
Validating custom-developed antibodies against ERF016 requires a comprehensive approach in the absence of commercial standards. A rigorous validation protocol should include:
Genetic validation: Testing the antibody against samples from wild-type plants versus ERF016 knockout or CRISPR-edited plant lines to confirm specificity. Absence of signal in knockout lines provides the strongest evidence of specificity.
Recombinant protein controls: Expressing tagged ERF016 protein (full-length and fragments) in heterologous systems to create positive controls for Western blot, ELISA, and immunoprecipitation applications.
Peptide competition assays: Pre-incubating the antibody with the immunizing peptide should eliminate signal if the antibody is specific.
Cross-reactivity assessment: Testing against closely related ERF family members to ensure the antibody doesn't recognize homologous proteins.
Multiple technique confirmation: Validating antibody performance across different applications (Western blot, immunoprecipitation, immunofluorescence) to ensure consistent results.
Mass spectrometry verification: Confirming the identity of immunoprecipitated proteins by mass spectrometry to verify target specificity.
This multi-faceted approach compensates for the lack of commercial standards and provides convincing evidence of antibody specificity and utility for ERF016 research.
The selection of expression systems for generating recombinant ERF016 antigen significantly impacts antibody production success. Based on protein characteristics and research requirements, the following systems offer distinct advantages:
| Expression System | Advantages | Limitations | Optimization Strategies |
|---|---|---|---|
| E. coli | High yield, cost-effective, rapid expression | Lacks plant-specific PTMs, potential folding issues | Use specialized strains (Rosetta, Arctic Express); incorporate solubility tags (MBP, SUMO) |
| Plant-based systems | Native post-translational modifications, proper folding | Lower yield, longer production time | Transient expression in N. benthamiana; use viral vectors for enhanced expression |
| Baculovirus/insect cells | Eukaryotic PTMs, better folding than bacteria | Higher cost, moderate complexity | Optimize codon usage; include purification tags that minimize structural interference |
For ERF016, a dual approach is recommended: (1) E. coli expression of the unique N/C-terminal regions for initial antibody generation, and (2) plant-based expression of full-length protein for subsequent validation. This strategy balances the need for high antigen quantity with proper protein conformation. Additionally, incorporating a cleavable affinity tag separated by a flexible linker from the ERF016 sequence will facilitate purification while minimizing structural interference with critical epitopes.
Investigating ERF016 protein-DNA interactions requires techniques that can characterize both binding specificity and functional consequences. The following methodologies are particularly valuable:
Chromatin Immunoprecipitation (ChIP): Requires a validated ERF016 antibody to isolate protein-DNA complexes from plant tissues. Since commercial ERF016 antibodies are unavailable, researchers should develop custom antibodies following validation protocols described in section 2.2. ChIP-seq provides genome-wide binding profiles.
Electrophoretic Mobility Shift Assay (EMSA): Allows in vitro characterization of ERF016 binding to specific DNA sequences containing GCC-box elements. Requires purified recombinant ERF016 protein.
DNA Affinity Purification (DAP-seq): Can be performed with recombinant ERF016 protein against genomic DNA libraries to identify binding sites without requiring antibodies.
Yeast One-Hybrid (Y1H): Useful for confirming direct interactions between ERF016 and specific promoter sequences in a cellular context.
Reporter Gene Assays: Using GCC-box containing promoters fused to reporter genes to assess ERF016's transcriptional activation capacity in plant protoplasts or stable transgenic lines.
For comprehensive understanding of ERF016 function, combining ChIP-seq data with transcriptome analysis (RNA-seq) of ERF016 overexpression/knockout lines would reveal both direct and indirect targets of this transcription factor, providing insights into its regulatory network in stress response pathways.
To effectively investigate ERF016's role in ethylene-mediated signaling pathways, researchers should implement a multi-faceted experimental approach:
Genetic manipulation strategies:
Generate ERF016 knockout/knockdown lines using CRISPR-Cas9 or RNAi
Create overexpression lines with constitutive (35S) or inducible promoters
Develop transgenic lines expressing tagged ERF016 versions (GFP, HA) for localization and interaction studies
Ethylene response phenotyping:
Assess classic ethylene response parameters (triple response in seedlings, senescence rates, fruit ripening) in modified ERF016 expression lines
Compare phenotypes under normal conditions versus ethylene treatment
Examine responses to ethylene biosynthesis inhibitors and precursors
Interactome analysis:
Perform co-immunoprecipitation with tagged ERF016 followed by mass spectrometry to identify protein interaction partners
Use yeast two-hybrid or bimolecular fluorescence complementation to validate specific interactions
Investigate interactions with known ethylene signaling components (EIN3, CTR1, ETR1)
Transcriptome profiling:
Compare RNA-seq data from wild-type and ERF016-modified plants with and without ethylene treatment
Conduct time-course experiments following ethylene exposure
Identify direct targets using inducible systems combined with transcriptional inhibitors
This systematic approach allows researchers to position ERF016 within the ethylene signaling cascade and distinguish its specific contributions from those of other ERF family members.
Detecting low-abundance transcription factors like ERF016 in plant tissues presents significant technical challenges that require specialized approaches:
Protein enrichment techniques:
Nuclear fractionation to concentrate transcription factors
Immunoprecipitation with custom-validated antibodies
Tandem affinity purification using transgenic plants expressing tagged ERF016
Signal amplification methods:
Enhanced chemiluminescence with extended exposure for Western blots
Tyramide signal amplification for immunohistochemistry
Proximity ligation assay for improved sensitivity in tissue sections
Expression system optimization:
Tissue-specific promoters that match ERF016's natural expression pattern
Stress induction protocols to upregulate endogenous ERF016 before analysis
Developmental stage selection based on transcriptomic data indicating peak expression
Alternative detection approaches:
Monitoring mRNA expression via qRT-PCR as a proxy for protein presence
Using reporter constructs (promoter::GUS) to identify tissues/conditions with active expression
Targeted proteomics approaches such as selected reaction monitoring (SRM) mass spectrometry
When antibody-based detection proves challenging due to the unavailability of validated ERF016 antibodies, researchers should consider generating transgenic lines expressing epitope-tagged ERF016 under its native promoter. This approach maintains physiological expression levels while enabling detection through commercial tag-specific antibodies with established validation.
Understanding the structural characteristics of ERF016 is crucial for effective antibody design. While no crystal structure is currently available for ERF016 specifically, insights from related ERF proteins can guide antibody development:
Structural domain analysis:
The AP2/ERF domain of ERF016 likely adopts a conserved three-stranded β-sheet and α-helix structure that binds the major groove of DNA. For antibody development, focusing on the less structured N-terminal and C-terminal regions would likely yield more specific antibodies compared to targeting the highly conserved DNA-binding domain.
Epitope accessibility considerations:
Surface prediction algorithms can identify exposed regions of the protein that represent better targets for antibody binding. In transcription factors like ERF016, the DNA-binding interface is often obscured during DNA interaction, making antibodies targeting this region potentially less effective for techniques like ChIP.
Post-translational modification sites:
ERF transcription factors are often regulated by phosphorylation, SUMOylation, and other modifications. When developing antibodies, researchers must decide whether to target modified or unmodified forms based on their research questions. Modification-specific antibodies could provide valuable tools for studying ERF016 regulation.
Homology-based structural modeling:
In the absence of crystal structures, researchers should generate homology models of ERF016 based on related proteins with solved structures. These models can guide epitope selection by identifying unique structural features that distinguish ERF016 from related ERF proteins.
This structure-informed approach to antibody design significantly increases the probability of developing functional, specific antibodies against ERF016, despite the current lack of validated commercial options.
Investigating ERF016 function across different plant species requires carefully designed comparative studies that account for evolutionary divergence while maintaining experimental consistency:
Homology identification and verification:
Conduct phylogenetic analysis to identify true ERF016 orthologs across species
Verify conserved domain structure and key functional residues
Assess synteny of genomic regions to confirm orthology relationships
Cross-species experimental design:
| Experimental Approach | Controls | Considerations |
|---|---|---|
| Complementation studies | Null mutant background | Use species-specific promoters |
| Heterologous expression | Empty vector, unrelated TF | Normalize for expression levels |
| Binding site conservation | Scrambled motifs, mutated GCC-box | Account for species-specific cofactors |
Species-specific adaptation strategies:
Monocots vs. dicots: Adjust transformation protocols and expression systems
Model vs. crop species: Consider tissue-specific expression patterns
Developmental timing: Adjust sampling timepoints based on species-specific growth rates
Data normalization approaches:
Use conserved reference genes appropriate for each species
Implement relative quantification methods that account for species differences
Include multiple biological and technical replicates to address species-specific variability
This systematic approach enables meaningful cross-species comparisons of ERF016 function while minimizing experimental artifacts. For species lacking genetic transformation protocols, virus-induced gene silencing or transient expression systems can provide alternatives for functional studies.
Distinguishing the specific functions of ERF016 from other ERF family members requires strategies that overcome the challenge of functional redundancy and sequence similarity:
High-resolution expression analysis:
Cell-type specific transcriptomics to identify unique expression patterns
Developmental time-course analysis to detect temporal specificity
Stress-response profiling under various conditions to identify unique induction patterns
Protein-specific interaction networks:
Perform immunoprecipitation with tagged versions of each ERF protein
Identify unique protein interaction partners that may explain functional differences
Map interactions with different components of the ethylene signaling pathway
Binding site specificity determination:
Conduct DAP-seq or ChIP-seq for multiple ERF proteins simultaneously
Perform motif enrichment analysis to identify subtle binding preferences
Use protein-binding microarrays to quantitatively compare DNA-binding affinities
Genetic redundancy management:
Generate single, double, and higher-order mutants of related ERF genes
Design artificial microRNAs targeting specific ERF members
Use CRISPR-based approaches for precise gene editing of single family members
Domain-swapping experiments:
Create chimeric proteins exchanging domains between ERF016 and related proteins
Identify which domains confer functional specificity
Investigate the contribution of non-conserved regions to unique functions
This multi-dimensional approach allows researchers to deconvolute the specific functions of ERF016 despite its membership in a large gene family with potentially overlapping functions. While commercial antibodies for ERF016 are not currently available, custom-developed antibodies validated against recombinant protein and knockout lines would be essential tools for this comparative analysis.
Several emerging technologies show particular promise for advancing ERF016 antibody development and expanding research applications:
Next-generation antibody technologies:
Single-domain antibodies (nanobodies) derived from camelids offer smaller size and potentially better access to cryptic epitopes in transcription factors
Synthetic antibody libraries with plant-specific frameworks may improve recognition of plant proteins
Yeast surface display for rapid screening of antibody variants with optimal binding characteristics
Computational design approaches:
In situ detection innovations:
Proximity labeling techniques (TurboID, APEX) for mapping protein interactions without requiring antibodies
CRISPR-based tagging systems for endogenous protein visualization
Small molecule-based protein degradation systems as alternatives to antibody-based approaches
Affinity reagent alternatives:
Aptamer development as non-immunoglobulin binding molecules
Engineered protein scaffolds (Affibodies, DARPins) optimized for plant protein recognition
Molecularly imprinted polymers as synthetic recognition elements
These technologies could address the current limitations in ERF016 research, where validated antibodies are not commercially available, by providing alternative detection methods with potentially superior specificity and sensitivity. As these approaches mature, they promise to facilitate more detailed investigations of ERF016's role in plant stress responses and development.
Integrating multi-omics approaches provides a comprehensive understanding of ERF016 function across multiple biological levels:
Multi-layered data generation:
Genomics: Identify ERF016 binding sites through ChIP-seq or DAP-seq
Transcriptomics: Profile expression changes in ERF016 mutants/overexpression lines
Proteomics: Map ERF016 protein interactions and post-translational modifications
Metabolomics: Analyze downstream metabolic changes resulting from ERF016 activity
Phenomics: Quantify morphological and physiological effects of ERF016 manipulation
Integrated analysis framework:
| Omics Combination | Integration Method | Biological Insight |
|---|---|---|
| ChIP-seq + RNA-seq | Network analysis | Direct vs. indirect targets |
| Proteomics + Transcriptomics | Correlation analysis | Post-transcriptional regulation |
| Metabolomics + Transcriptomics | Pathway mapping | Metabolic reprogramming mechanisms |
| Phenomics + All other data | Machine learning | Predictive models of ERF016 function |
Temporal and spatial considerations:
Time-course experiments following ERF016 induction/repression
Tissue-specific or cell-type-specific sampling
Developmental stage comparisons to capture dynamic changes
Systems biology modeling:
Generate predictive models of ERF016-regulated networks
Identify feedback mechanisms and regulatory hubs
Simulate perturbations to predict phenotypic outcomes
This integrated approach overcomes the limitations of studying ERF016 with any single methodology and provides a systems-level understanding of its function. While custom antibody development remains challenging due to the lack of validated commercial standards, combining multiple omics approaches that don't rely exclusively on antibodies can still yield comprehensive insights into ERF016 biology.
Given the lack of commercial antibodies for ERF016, researchers should adopt these optimized protocols for isolation and characterization:
Recombinant protein expression and purification:
Bacterial expression system: BL21(DE3) E. coli with pET28a vector containing codon-optimized ERF016
Induction conditions: 0.5mM IPTG at 18°C for 16 hours to maximize soluble protein yield
Purification strategy: Nickel affinity chromatography followed by size exclusion chromatography
Quality control: SDS-PAGE, Western blot with anti-His antibodies, and mass spectrometry verification
Custom antibody development workflow:
Antigen preparation: Select 2-3 unique peptide regions from ERF016 sequence
Immunization: Use multiple rabbits with different antigens to increase success probability
Screening: ELISA against immunizing peptides and full-length protein
Validation: Western blot comparison between wild-type and ERF016 knockout plants
Chromatin immunoprecipitation optimization:
Crosslinking: 1% formaldehyde for 10 minutes at room temperature
Sonication: Optimize cycles to achieve 200-500bp fragments
Immunoprecipitation: Use epitope-tagged ERF016 expressed under native promoter
Controls: Include IgG control and input samples for normalization
DNA-binding characterization:
EMSA conditions: 5% non-denaturing polyacrylamide gel, 0.5X TBE buffer
Probe design: 30bp oligonucleotides containing GCC-box with 5bp flanking sequences
Competition assays: 100-fold excess of unlabeled specific and non-specific competitors
Supershift: Include in vitro translated ERF016 with epitope tag and corresponding antibody
These protocols provide a comprehensive framework for ERF016 isolation and characterization, addressing the limitations posed by the current lack of validated commercial antibodies.
ERF016 research offers significant potential for developing stress-resistant crop varieties through several translational pathways:
Genetic engineering applications:
Overexpression of ERF016 in crops to enhance stress tolerance
Promoter modifications to optimize ERF016 expression under specific stress conditions
CRISPR-based editing of ERF016 regulatory regions to fine-tune expression
Marker-assisted selection strategies:
Identify natural allelic variants of ERF016 associated with enhanced stress tolerance
Develop molecular markers for ERF016 haplotypes with superior performance
Screen germplasm collections for optimal ERF016 alleles for breeding programs
Stress response pathway engineering:
Modify ERF016 post-translational regulation to enhance stability under stress
Engineer optimal interaction between ERF016 and other stress-response components
Create synthetic promoters with optimized ERF016 binding sites to enhance downstream gene expression
Crop improvement case studies:
In cereals: Enhanced drought tolerance through modulated ERF016 expression
In fruits: Improved post-harvest shelf life via altered ethylene response pathways
In legumes: Enhanced resistance to fungal pathogens through primed defense responses
While current research on ERF016 is limited by the lack of specific antibodies, advances in genetic technologies allow for progress through alternative approaches. As custom antibodies and other research tools are developed, the ability to precisely characterize ERF016's role in stress responses will accelerate the development of climate-resilient crop varieties with enhanced performance under adverse conditions.