KEGG: ath:AT1G35160
UniGene: At.22949
GRF4 (GROWTH-REGULATING FACTOR4) is a transcription factor that functions as a crucial regulator of nitrogen use efficiency (NUE) in plants. It serves as an integrative regulator of multiple nitrogen metabolism genes and a coordinator of carbon metabolism. Antibodies against GRF4 are valuable research tools for studying protein-DNA interactions, protein localization, and regulatory mechanisms in plant development. These antibodies enable researchers to investigate how GRF4 directly regulates the transcription of genes like MYB61, which is involved in cellulose synthesis and biomass production .
Multiple experimental approaches have confirmed GRF4's regulatory role. In loss-of-function mutants (grf4-1 and grf4-2), researchers observed reduced flag leaf size, decreased internode diameter, thinner cell walls, and lower cellulose content. Conversely, gain-of-function mutants (GS2) exhibited larger flag leaves, thicker internodes, enhanced cell wall thickness, and increased cellulose levels. These phenotypic changes correspond with altered MYB61 expression levels - upregulated in gain-of-function mutants and significantly repressed in loss-of-function mutants .
GRF4 functions through direct binding to specific DNA motifs in the promoter regions of target genes. Chromatin-immunoprecipitation (ChIP) analysis with GRF4-cMyc in grf4 mutant backgrounds has revealed associations between GRF4 and multiple promoter segments (specifically P1, P2, and P8 regions in the MYB61 promoter). The binding at the P8 segment containing motif 2 has been further confirmed through electrophoretic mobility shift assays (EMSA) .
For optimal GRF4 ChIP experiments, researchers should:
Express epitope-tagged GRF4 (e.g., GRF4-cMyc) in appropriate genetic backgrounds (preferably grf4 mutants to avoid competition with endogenous protein)
Use crosslinking conditions optimized for transcription factors (typically 1% formaldehyde for 10-15 minutes)
Employ sonication parameters that generate DNA fragments of 200-500 bp
Include appropriate controls: input DNA (pre-immunoprecipitation), IgG control, and negative control regions
Validate findings with quantitative PCR targeting multiple regions of interest
The ChIP protocol has successfully identified three association points between GRF4 and the MYB61 promoter at segments P1, P2, and P8, providing a validated experimental framework .
Based on published methodologies, successful EMSA experiments with GRF4 require:
Parameter | Optimal Conditions | Rationale |
---|---|---|
Protein preparation | GST-tagged GRF4 expressed in E. coli Rosetta | Provides proper folding of plant transcription factor |
DNA probe length | Tested with 24-117 bp fragments | P8 region (containing motif 2) shows strong binding |
Binding conditions | 4°C in EMSA binding buffer | Preserves protein-DNA interactions |
Competition assay | 50-500 fold excess of unlabeled probes | Confirms binding specificity |
Detection method | Chemiluminescent detection | Offers high sensitivity for detection |
This approach successfully demonstrated specific binding of GST-GRF4 to the MYB61 promoter fragment at P8, while no binding was detected with fragments harboring motif 1 or at P1 and P2 regions .
To validate GRF4 antibody specificity, implement the following multi-step approach:
Genetic validation: Compare antibody signal between wild-type and grf4 knockout lines (signal should be absent or significantly reduced in knockouts)
Protein validation: Perform Western blot analysis to confirm detection at the expected molecular weight
Epitope competition: Pre-incubate antibody with purified GRF4 peptide/protein before application (should reduce or eliminate specific signal)
Cross-reactivity assessment: Test antibody against related GRF family members to ensure specificity
Functional validation: Confirm antibody can immunoprecipitate GRF4 by validating pulled-down protein with mass spectrometry
This comprehensive validation approach ensures reliable results in subsequent experimental applications.
GRF4 antibodies can reveal protein-protein interactions through these methodological approaches:
Co-immunoprecipitation (Co-IP): Use GRF4 antibodies to precipitate the protein complex, followed by Western blot analysis with antibodies against suspected interaction partners
Proximity ligation assay (PLA): Combine GRF4 antibody with antibodies against potential interacting proteins to visualize interactions in situ
ChIP-re-ChIP: Perform sequential immunoprecipitations with GRF4 antibody followed by antibodies against other transcription factors to identify co-occupancy at specific genomic loci
Yeast two-hybrid validation: Use antibodies to confirm interactions identified through Y2H screens in plant tissues
Mass spectrometry following IP: Identify novel interaction partners by immunoprecipitating GRF4 complexes and analyzing by mass spectrometry
These approaches can help decipher how GRF4 functions within larger regulatory networks coordinating carbon and nitrogen metabolism .
When troubleshooting inconsistent GRF4 antibody results:
Assess epitope accessibility: GRF4 conformation may differ between applications (native vs. denatured conditions)
Optimize fixation protocols: Crosslinking conditions may affect epitope recognition in immunohistochemistry
Consider tissue-specific post-translational modifications: GRF4 may be differently modified in various tissues or under different nitrogen conditions
Evaluate antibody batch variation: Validate each new lot against a known positive control
Test multiple antibodies: Use antibodies targeting different GRF4 epitopes to confirm findings
Examine buffer compatibility: Adjust buffers to optimize antibody performance for specific applications
Additionally, consider that GRF4 shows inducible performance under limited nitrogen conditions, which may affect detection levels in different experimental setups .
To differentiate direct from indirect GRF4 regulatory effects:
Integrate ChIP-seq with RNA-seq: Compare GRF4 binding sites with transcriptional changes to identify direct targets
Use time-course experiments: Direct targets typically show more rapid expression changes following GRF4 induction
Analyze cis-regulatory elements: Confirm the presence of validated GRF4 binding motifs in promoters of putative target genes
Employ transactivation assays: Test GRF4's ability to activate transcription from target promoters (as demonstrated with MYB61 promoter)
Perform motif mutation studies: Mutate predicted binding sites and measure effects on GRF4 binding and transactivation
This multi-faceted approach revealed that GRF4 directly regulates MYB61 transcription, with the 9311 allele of MYB61 showing higher activation levels than the NP allele in transactivation assays .
For robust analysis of GRF4 ChIP-seq data:
Analysis Step | Methodology | Key Considerations |
---|---|---|
Peak calling | Use MACS2 or similar algorithms | Set appropriate p-value thresholds (typically 10^-5) |
Motif discovery | Apply MEME, HOMER, or similar tools | Compare identified motifs with known GRF4 binding sequences like those in the P8 region |
Peak annotation | Associate peaks with genomic features | Focus on promoter regions (-2000 to +200 bp from TSS) |
Comparative analysis | Compare binding profiles across conditions | Examine differential binding under varying nitrogen levels |
Validation | Select candidate regions for ChIP-qPCR | Prioritize regions with strong peaks and canonical motifs |
This approach can expand understanding beyond the three validated GRF4 binding regions (P1, P2, and P8) in the MYB61 promoter to a genome-wide perspective .
When investigating nitrogen-responsive GRF4 activity:
Implement precise nitrogen treatment protocols: Use defined media with controlled nitrogen sources and concentrations
Include time-course sampling: GRF4 activity shows dynamic responses to nitrogen availability
Compare multiple tissue types: GRF4 regulation may differ between roots, leaves, and reproductive tissues
Account for developmental stage: Nitrogen responses often interact with developmental programming
Consider genotype differences: As observed with differential regulation of indica and japonica MYB61 alleles under varied nitrogen availability
Quantify both total and phosphorylated GRF4: Post-translational modifications may affect GRF4 activity
GRF4 has been shown to accumulate under low nitrogen availability, making controlled nitrogen conditions crucial for experimental reproducibility .
For optimal transactivation assays with GRF4:
Clone the full-length coding sequence of GRF4 into appropriate expression vectors (such as p2GW7)
Generate reporter constructs containing target gene promoters (like ProMYB61:LUC) in vectors with luciferase genes
Use protoplast systems from appropriate species (Arabidopsis rosette leaves have been successful)
Include internal controls (such as Renilla reniformis luciferase driven by CaMV 35S)
Allow adequate incubation time (overnight incubation has proven effective)
Implement appropriate normalization strategies to account for transformation efficiency
This methodology successfully demonstrated that GRF4 activates the MYB61 promoter, with the 9311 allele showing approximately one-fold higher activation than the NP allele .
GRF4 antibodies can advance climate change adaptation research through:
Monitoring GRF4 protein levels across diverse environmental conditions (drought, temperature stress, CO₂ enrichment)
Identifying changes in GRF4 binding patterns under stress conditions via ChIP-seq
Investigating how altered nitrogen availability (due to climate change) affects GRF4-mediated regulation
Comparing GRF4 dynamics between climate-resilient and susceptible varieties
Studying how GRF4's integration of carbon and nitrogen metabolism responds to changing climate variables
Since GRF4 constitutes a regulatory cascade governing NUE and cellulosic biomass production, understanding its behavior under climate stress could inform breeding strategies for climate-resilient crops .
To advance tissue-specific GRF4 research:
Develop cell-type-specific antibody-based techniques: Adapt RNAscope-like approaches for protein detection
Implement tissue-clearing protocols compatible with immunohistochemistry: Enable whole-organ imaging of GRF4 localization
Create GRF4 biosensors: Design fusion proteins that report on GRF4 activity in living tissues
Establish cell-type-specific ChIP protocols: Adapt INTACT or FACS-based methods for GRF4 binding studies
Apply spatial transcriptomics: Correlate GRF4 protein levels with transcriptional outputs at cellular resolution
These methodological advances would help resolve how GRF4 functions differently in specific cell types, such as between periportal hepatocytes or in proliferating versus non-proliferating intestinal epithelia .
For comprehensive multi-omics integration:
Correlate ChIP-seq binding profiles with:
RNA-seq: Identify direct transcriptional effects
ATAC-seq: Map chromatin accessibility changes influenced by GRF4
Proteomics: Link transcriptional changes to protein abundance
Metabolomics: Connect regulatory events to metabolic outcomes
Implement computational integration approaches:
Network analysis to identify GRF4-centered regulatory hubs
Machine learning to predict GRF4 binding under various conditions
Bayesian modeling to infer causal relationships in GRF4 regulatory networks
This integrated approach would provide a systems-level understanding of how GRF4 coordinates carbon and nitrogen metabolism to govern NUE and biomass production, potentially leading to applications in crop improvement .