Recombinant Poecilia reticulata Early Growth Response Protein 2 (egr2) is a synthetic variant of the transcription factor EGR2, engineered for research and therapeutic applications. Derived from the guppy fish (Poecilia reticulata), this recombinant protein is produced via genetic engineering, typically in yeast systems, to preserve functional and structural fidelity . EGR2 belongs to the early growth response (EGR) family of zinc-finger transcription factors, which regulate gene expression during cellular stress, development, and immune responses .
The recombinant P. reticulata EGR2 spans amino acids 1–62, with a His-tag appended for purification . Key structural features include:
| Feature | Detail |
|---|---|
| Expression System | Yeast (Saccharomyces cerevisiae) |
| Purification Tag | N-terminal His-tag |
| Post-Translational Modifications | Potential glycosylation/acylation in yeast systems |
The protein is synthesized in yeast, leveraging eukaryotic post-translational modification machinery to ensure proper folding and activity . Key advantages include:
Cost efficiency: Lower production costs compared to mammalian systems.
Native-like modifications: Enables functional studies requiring glycosylation or phosphorylation .
| Parameter | Specification |
|---|---|
| Purity | >90% (SDS-PAGE and chromatography) |
| Concentration | 0.2–2 mg/mL (Tris-based buffer, 50% glycerol) |
| Storage Conditions | -20°C (lyophilized or frozen aliquots) |
Antibody Development:
Functional Studies:
| Application | Methodology |
|---|---|
| ELISA | Detects anti-EGR2 antibodies in serum or cell lysates |
| Protein Interaction | Pull-down assays to study EGR2 binding partners (e.g., OST1 kinase) |
Species Specificity: Structural differences between P. reticulata and human EGR2 may limit translational relevance.
Functional Validation: Further studies are needed to confirm activity in mammalian systems.
EGR2 in Poecilia reticulata likely functions as a zinc finger transcription factor with regulatory roles similar to its mammalian orthologs. In mammals, EGR2 has been identified as an indispensable component of the transcriptional network controlling tissue-specific cell identity and function . While guppy-specific EGR2 functions remain to be fully characterized, comparative analysis suggests it likely regulates gene expression through binding to specific DNA consensus sequences such as ACGCCCACGCA .
Methodologically, researchers investigating guppy EGR2 function should:
Perform comparative sequence analysis with mammalian EGR2
Analyze expression patterns across different tissues and developmental stages
Consider the germline mutation patterns in Poecilia reticulata and how they might affect EGR2 function
Explore tissue-specific expression patterns similar to the alveolar macrophage-specific expression observed in mammals
While specific structural data for guppy EGR2 is not directly reported, insights can be drawn from human EGR2 structural characteristics. Based on human EGR2, the functional domain would likely span approximately 250-300 amino acids containing zinc finger motifs critical for DNA binding . The predicted molecular mass would be around 31.4kDa with an isoelectric point near 9.1 .
Key structural features likely include:
Multiple zinc finger domains coordinating Zn²⁺ ions necessary for DNA binding
N-terminal regulatory domains
Nuclear localization signals ensuring proper subcellular targeting
Potential sites for post-translational modifications regulating activity
Researchers should consider expressing the full-length protein or specific functional domains depending on experimental requirements and verify proper folding using circular dichroism or limited proteolysis approaches.
EGR2 expression in Poecilia reticulata likely exhibits tissue specificity similar to that observed in mammals. In human and mouse models, EGR2 shows highly selective expression patterns, with notable expression in specific cell types such as alveolar macrophages .
Methodology for characterizing tissue-specific expression:
RT-qPCR analysis across multiple tissues (brain, liver, gonads, muscle, etc.)
In situ hybridization to visualize spatial expression patterns
Immunohistochemistry using validated antibodies against guppy EGR2
RNA-sequencing of different tissues with particular attention to developmental stages
Consider potential sex-specific expression patterns given the significant sexual dimorphism in guppies
Expression analysis should account for the high degree of genetic variation observed across guppy populations which may influence regulatory elements controlling EGR2 expression.
| Expression System | Advantages | Disadvantages | Recommended Applications |
|---|---|---|---|
| E. coli | High yield, cost-effective, established protocols | Limited post-translational modifications, potential inclusion body formation | Functional domain expression, DNA-binding studies |
| Insect cells | Better protein folding, some post-translational modifications | Higher cost, longer expression time | Full-length protein, structural studies |
| Mammalian cells | Native-like post-translational modifications | Most expensive, lower yields | Functional studies requiring specific modifications |
Based on protocols established for human EGR2 , an E. coli expression system using pET vectors with N-terminal tags (His-tag and T7-tag) provides a good starting point. Codon optimization for E. coli may be necessary due to potential codon bias differences between bacteria and guppies. Expression should be performed at lower temperatures (16-20°C) to enhance proper folding .
For challenging constructs, consider fusion partners such as MBP, SUMO, or TRX to enhance solubility. Verify expression using Western blotting with anti-tag antibodies or EGR2-specific antibodies.
A multi-step purification approach is recommended to achieve >95% purity while maintaining functional activity:
For His-tagged constructs: Ni-NTA affinity chromatography
Buffer composition: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole
Elution with imidazole gradient (50-250 mM)
Include 1-5 μM ZnCl₂ in all buffers to maintain zinc finger structure
Cation exchange chromatography (SP-Sepharose) at pH 7.0
The basic pI (~9.1) of EGR2 makes it suitable for cation exchange
Buffer: PBS pH 7.4 with 5% glycerol and 1 mM DTT
Analyze peak fractions by SDS-PAGE to confirm purity
Verify identity by Western blot and/or mass spectrometry
Throughout purification, maintain reducing conditions (1-5 mM DTT or 2-10 mM β-mercaptoethanol) and include protease inhibitors to prevent degradation. Final protein should be >95% pure as assessed by SDS-PAGE .
Based on protocols established for similar transcription factors including human EGR2 , the following storage conditions are recommended:
Long-term storage (>1 month):
Lyophilize in buffer containing PBS pH 7.4 with 5% trehalose as a cryoprotectant
Addition of 0.01% sarcosyl may help maintain protein structure
Store aliquots at -80°C for up to 12 months
Avoid repeated freeze-thaw cycles
Short-term storage (<1 month):
Store at 2-8°C in PBS pH 7.4 with 10% glycerol
Include reducing agent (1 mM DTT) to maintain zinc finger structure
Monitor stability using activity assays
Working solutions:
Keep on ice during experiments
Add BSA (0.1-0.5 mg/ml) to prevent adsorption to surfaces
Include 1-5 μM ZnCl₂ in buffers for DNA-binding experiments
Stability can be assessed through accelerated degradation tests (e.g., incubation at 37°C for 48h) . Well-stored protein should show less than 5% degradation within the expiration period.
EGR2 functions primarily as a transcription factor that binds specific DNA sequences. The following methods are recommended for analyzing DNA-binding activity:
Electrophoretic Mobility Shift Assay (EMSA):
Design oligonucleotides containing the EGR2 consensus binding sequence (ACGCCCACGCA)
Include controls: positive (known EGR2-binding sequence), negative (mutated binding site)
Analyze binding using non-denaturing polyacrylamide gels
Binding specificity can be confirmed through competition with unlabeled probes
Chromatin Immunoprecipitation (ChIP):
For identifying in vivo binding sites
Use validated antibodies against guppy EGR2 or epitope tags
Process samples for high-throughput sequencing (ChIP-seq)
Analyze enrichment at predicted binding sites
Surface Plasmon Resonance (SPR):
For quantitative binding kinetics (kon, koff, KD)
Immobilize biotinylated DNA on streptavidin sensor chips
Measure binding at different protein concentrations
Determine binding affinity constants and compare with mammalian EGR2
Functional Reporter Assays:
Clone potential guppy gene promoters containing EGR2 binding sites
Co-transfect with EGR2 expression vector in appropriate cell lines
Measure transcriptional activation/repression
These methods provide complementary information about DNA-binding specificity, affinity, and transcriptional regulatory activity.
In mammals, EGR2 has been identified as a novel regulator of senescence pathways, directly activating the ARF promoter and affecting p16 levels . To investigate whether this function is conserved in guppy EGR2:
Comparative sequence analysis:
Identify putative ARF and p16 homologs in the Poecilia reticulata genome
Analyze promoter regions for predicted EGR2 binding sites
Compare conservation of these sites with mammalian counterparts
In vitro promoter activation assays:
Clone guppy ARF promoter into luciferase reporter constructs
Co-transfect with EGR2 expression vectors in appropriate cell lines
Compare activation by guppy EGR2 versus mammalian EGR2
Test activation of both guppy and mammalian promoters with both proteins to assess cross-species functionality
Cellular senescence models:
Develop primary cell cultures from guppy tissues
Characterize senescence markers (SA-β-gal, morphological changes)
Manipulate EGR2 levels through overexpression or knockdown
Measure effects on senescence marker expression and cell proliferation
Analyze nuclear EGR2 foci formation similar to observations in human senescent cells
Analysis of downstream pathway components:
Assess expression of p16 and p21 homologs following EGR2 modulation
Determine if EGR2 knockdown affects the pool of p16-negative cells as observed in human models
Investigate chromatin remodeling at senescence-associated genes
These approaches would determine whether the role of EGR2 in senescence is evolutionarily conserved between mammals and guppies.
Identifying the in vivo target genes of EGR2 in Poecilia reticulata requires integrative genomic approaches:
ChIP-sequencing:
Perform ChIP-seq using validated antibodies against guppy EGR2
Identify genome-wide binding sites in different tissues
Compare binding patterns across developmental stages or experimental conditions
RNA-sequencing following EGR2 modulation:
Perform RNA-seq after EGR2 knockdown or overexpression
Identify differentially expressed genes
Integrate with ChIP-seq data to distinguish direct from indirect targets
Time-course experiments to identify immediate-early response genes
ATAC-sequencing for chromatin accessibility:
Map open chromatin regions genome-wide
Correlate accessibility with EGR2 binding
Identify potential pioneer factor activity
CUT&RUN or CUT&Tag:
Higher resolution alternatives to ChIP-seq
Reduced background and sample requirements
Particularly useful for limited tissue samples
Validation of direct targets:
Design reporter constructs containing putative EGR2-responsive elements
Test activation/repression by EGR2 in cell-based assays
Mutagenesis of binding sites to confirm direct regulation
CRISPR-mediated deletion of binding sites in vivo
Integration of these datasets can generate a high-confidence list of direct EGR2 targets and regulatory networks in Poecilia reticulata.
Understanding EGR2's interaction partners is crucial for elucidating its function within regulatory networks:
Co-immunoprecipitation coupled with mass spectrometry:
Use anti-EGR2 antibodies or epitope-tagged EGR2 constructs
Perform pull-downs from guppy tissue lysates or transfected cells
Identify co-precipitated proteins by mass spectrometry
Validate interactions using reciprocal co-IP and Western blotting
Proximity-dependent biotin labeling:
Express EGR2 fused to promiscuous biotin ligase (BioID or TurboID)
Identify biotinylated proteins in proximity to EGR2
This approach captures transient interactions and works in native conditions
Yeast two-hybrid screening:
Use EGR2 as bait to screen guppy cDNA libraries
Validate positive interactions with alternative methods
Test domain-specific interactions using truncated constructs
Bimolecular Fluorescence Complementation (BiFC):
Express EGR2 and potential partners as fusion proteins with split fluorescent protein fragments
Interaction brings fragments together, restoring fluorescence
Visualize interactions in living cells and determine subcellular localization
Protein microarrays:
Screen for interactions with purified recombinant Poecilia reticulata EGR2
Test interactions with other transcription factors and cofactors
Identify post-translational modifications affecting interactions
These approaches would identify both conserved interactions (compared to mammalian EGR2) and potentially guppy-specific interaction partners.
Guppies exhibit interesting germline mutation patterns, with substantial variation across individuals and families . To investigate potential roles of EGR2 in development and these mutation patterns:
Developmental expression profiling:
Perform RT-qPCR and in situ hybridization across developmental stages
Correlate expression with key developmental processes
Compare with known developmental roles of EGR2 in mammals
CRISPR/Cas9-mediated gene editing:
Generate EGR2 knockout or knockdown guppies
Analyze phenotypic effects on development and fertility
Create conditional knockouts if complete knockout is lethal
Analysis of mutation patterns in relation to EGR2 binding sites:
Map EGR2 binding sites genome-wide using ChIP-seq
Analyze distribution of naturally occurring mutations relative to these sites
Determine if EGR2 binding affects local mutation rates
Transgenic reporter assays:
Create transgenic guppies with EGR2-responsive reporter constructs
Visualize spatiotemporal activity patterns in vivo
Test effects of environmental factors on EGR2 activity
Single-cell RNA-seq of germline cells:
Profile transcriptomes of germ cells at different developmental stages
Correlate EGR2 expression with germline development
Investigate relationship between EGR2 activity and the observed pattern where most de novo mutations are shared across multiple siblings
These approaches would connect EGR2 function to developmental processes and potentially to the distinctive germline mutation patterns observed in guppies.
Differentiating direct from indirect regulatory targets requires integrative approaches:
Temporal expression analysis:
Use inducible EGR2 expression systems
Perform time-course experiments after EGR2 induction
Early-responding genes (within hours) are more likely direct targets
Combine with protein synthesis inhibitors (cycloheximide) to block secondary effects
Motif analysis of regulated genes:
Analyze promoters of differentially expressed genes for EGR2 binding motifs
Quantify motif enrichment compared to background
Consider conservation of binding sites across related species
Motif strength often correlates with regulatory impact
Integrated ChIP-seq and RNA-seq analysis:
Direct targets should show both EGR2 binding and expression changes
Create statistical models integrating binding strength and expression changes
Filter based on distance between binding sites and transcription start sites
Enhancer-promoter interaction mapping:
Use chromatin conformation capture methods (Hi-C, 4C)
Verify physical interactions between EGR2 binding sites and regulated promoters
CRISPRi targeting of specific binding sites can confirm functional relevance
Luciferase reporter assays:
Test activation of wild-type versus mutated binding sites
Quantify dose-response relationships
A comprehensive analysis would classify targets into high-confidence direct targets, likely direct targets with incomplete evidence, and indirect targets, providing a clearer picture of the EGR2 regulatory network.
When working with zinc finger proteins like EGR2, maintaining the structural integrity of the zinc finger domains is critical. Key troubleshooting steps include:
Always include reducing agents (DTT or β-mercaptoethanol) to prevent oxidation of cysteine residues
Supplement buffers with low concentrations of zinc to maintain zinc finger structure
Verify protein integrity using limited proteolysis and circular dichroism
Test DNA-binding activity with control oligonucleotides containing the consensus binding sequence
Following established protocols for human EGR2 while adapting for species-specific considerations will improve success rates.
ChIP-seq data analysis for EGR2 requires robust statistical approaches:
Quality control metrics:
ENCODE guidelines recommend >10 million uniquely mapped reads
Fragment length distribution should show clear enrichment at expected size
Assess library complexity (PCR duplicates <20%)
Calculate FRiP (Fraction of Reads in Peaks) score (>1% considered acceptable)
Peak calling statistical considerations:
Use MACS2 with appropriate parameters for transcription factor ChIP-seq
Implement IDR (Irreproducible Discovery Rate) analysis for replicate consistency
Set FDR threshold (typically q < 0.05) to control false positives
Calculate fold-enrichment over input control
Differential binding analysis:
When comparing conditions, use DiffBind or similar tools
Apply appropriate normalization methods (TMM, quantile normalization)
Consider biological variability when setting significance thresholds
Calculate effect sizes (fold changes) along with p-values
Motif enrichment statistics:
Use HOMER, MEME-ChIP, or similar tools for de novo motif discovery
Calculate enrichment of known motifs using position weight matrices
Apply appropriate background models (e.g., matched GC content regions)
Test central enrichment of motifs within peak regions
Integrative analysis with gene expression:
Use regression models to correlate binding strength with expression changes
Apply Gene Set Enrichment Analysis for pathway-level correlations
Consider time-course data with appropriate time-series statistical methods
These statistical approaches help ensure reliable identification of EGR2 binding sites and their functional relevance in Poecilia reticulata.
Antibody specificity is a critical concern, particularly when studying proteins in non-model organisms like Poecilia reticulata:
Validation strategies:
Western blotting with positive controls (recombinant guppy EGR2)
Testing in tissues with known EGR2 expression versus negative controls
Peptide competition assays to confirm specificity
Comparison with expression patterns of tagged recombinant protein
Alternative approaches when specific antibodies are unavailable:
Generate epitope-tagged EGR2 constructs (FLAG, HA, V5)
Use commercial antibodies against conserved regions of EGR2
Develop custom antibodies against guppy-specific EGR2 peptides
Consider using aptamers as alternative affinity reagents
Cross-reactivity assessment:
Test against related EGR family members (EGR1, EGR3, EGR4)
Perform immunoprecipitation followed by mass spectrometry to identify all bound proteins
Validate with CRISPR knockout controls when possible
Optimization for different applications:
Different applications (Western blot, IP, ChIP, IHC) may require different antibodies
Optimize fixation and antigen retrieval for immunohistochemistry
Test multiple antibody concentrations and incubation conditions
When working with non-model organisms like guppies, it's often necessary to develop custom affinity reagents specifically validated for the species of interest, rather than relying solely on antibodies developed for mammalian proteins.
Understanding evolutionary conservation and divergence in EGR2 function provides valuable insights:
Sequence conservation analysis:
Compare amino acid sequences across vertebrates (fish, amphibians, reptiles, birds, mammals)
Zinc finger domains are typically highly conserved
Regulatory domains may show greater divergence
Identify guppy-specific sequence features
Functional domain conservation:
DNA-binding specificity is likely conserved (consensus motif ACGCCCACGCA)
Test whether guppy EGR2 recognizes the same DNA sequences as mammalian EGR2
Compare transcriptional activation/repression capabilities in reporter assays
Target gene conservation:
In mammals, EGR2 activates the ARF promoter and affects p16 levels
Identify guppy orthologs of these genes and test if they are regulated by EGR2
Perform comparative ChIP-seq across species to identify conserved and divergent targets
Expression pattern comparison:
Compare with expression patterns in guppies and other fish species
Identify conserved regulatory elements controlling expression
Cross-species complementation:
Test whether guppy EGR2 can rescue phenotypes in mammalian EGR2 knockout cells
Assess function in heterologous expression systems
These comparative approaches can reveal fundamental aspects of EGR2 biology conserved across vertebrates versus lineage-specific adaptations.
Guppies are renowned for their rapid adaptation to different environments and distinctive sexual dimorphism . EGR2's role as a transcription factor makes it a potential contributor to adaptive trait evolution:
Population genomics approaches:
Sequence EGR2 locus across guppy populations from different environments
Identify signatures of selection in coding or regulatory regions
Test association between EGR2 variants and specific adaptive traits
Expression variation analysis:
Compare EGR2 expression patterns across populations
Correlate expression differences with environmental variables
Analyze sex-specific expression patterns in relation to sexual dimorphism
Regulatory network evolution:
Compare EGR2 binding patterns across populations using ChIP-seq
Identify differences in target gene regulation that correlate with adaptive traits
Test whether EGR2 regulates genes involved in pigmentation, life history, or other adaptive traits
Connection to germline mutation patterns:
Investigate whether EGR2 plays a role in the considerable variation in germline mutation rates observed across guppy individuals and families
Test if EGR2 variants correlate with different mutation signatures
Explore potential functions in germline development or DNA repair pathways
Experimental evolution studies:
Monitor changes in EGR2 sequence or expression during experimental evolution
Test functional consequences of observed changes
These approaches could reveal connections between EGR2 function and the remarkable adaptive capabilities of guppies, potentially identifying mechanisms underlying rapid evolution.
Poecilia reticulata exhibits substantial variation in germline mutation rates across individuals and families, with many de novo mutations shared across multiple siblings . Potential connections between EGR2 and these patterns include:
Expression analysis in germline tissues:
Characterize EGR2 expression during gametogenesis and early embryonic development
Determine if expression levels correlate with observed mutation patterns
Compare expression between families with different mutation signatures
Impact on DNA repair pathways:
Investigate whether EGR2 regulates genes involved in DNA repair or replication
Test if modulation of EGR2 affects mutation rates in cell culture models
Perform ChIP-seq in germline tissues to identify potential target genes in repair pathways
Early embryonic development:
Given that many mutations are shared across siblings , investigate EGR2's role in early embryonic development
Test if EGR2 regulates cell division or differentiation during early embryogenesis
Analyze spatial and temporal expression patterns during development
Genetic association studies:
Identify variants that correlate with specific mutation patterns
Test functional consequences of these variants on EGR2 activity
Experimental manipulation:
Generate EGR2 knockdown or knockout models in guppies
Measure effects on germline mutation rates and patterns
These investigations could potentially reveal EGR2 as a factor influencing the distinctive germline mutation patterns observed in guppies, connecting transcriptional regulation to genomic stability and evolution.