Two expression systems are used for its production:
Escherichia coli (E. coli): Product code CSB-EP307767ANP, yielding >85% purity via SDS-PAGE .
Baculovirus: Product code CSB-BP307767ANP, optimized for eukaryotic post-translational modifications .
| Parameter | E. coli System | Baculovirus System |
|---|---|---|
| Expression Region | Amino acids 1–11 | Amino acids 1–11 |
| Tag | Undisclosed (varies) | Undisclosed (varies) |
| Storage | -20°C/-80°C (lyophilized) | -20°C/-80°C (lyophilized) |
Reconstitution protocols recommend dissolving in deionized water (0.1–1.0 mg/mL) with 5–50% glycerol for stability .
Feeding Behavior Studies: Used to investigate neuropeptide-mediated appetite regulation in cockroaches and related species .
Pest Control Development: Serves as a template for designing biopesticides targeting SKR pathways in invasive species like Bactrocera dorsalis .
Comparative Endocrinology: Facilitates cross-species studies of sulfakinin signaling in arthropods and mollusks .
Archimandrita tessellata Sulfakinin-1 belongs to the sulfakinin (SK) family of neuropeptides, which function as important signal molecules in insects. Sulfakinins were first isolated from cockroach species such as Leucophaea maderae, possessing a characteristic sulfated tyrosine residue in the C-terminal heptapeptide core sequence (DY(SO3)GHM/LRFamide) . These neuropeptides interact with G-protein-coupled receptors (GPCRs) to mediate various behavioral processes and physiological functions in invertebrates . Sulfakinins have been identified in numerous insect species including Drosophila melanogaster, Periplaneta americana, Blattella germanica, and various beetles . As a cockroach-derived peptide, A. tessellata Sulfakinin-1 likely shares structural similarities with other insect sulfakinins while potentially exhibiting species-specific functional characteristics.
Insect sulfakinins typically contain a signal peptide followed by one or more bioactive peptides within the precursor protein. Based on studies of other insect sulfakinins, A. tessellata Sulfakinin-1 would likely include:
A signal peptide (approximately 28 amino acids based on other species)
Characteristic tyrosine (Tyr) residue that serves as a potential sulfation site
Glycine (Gly) residue that serves as a potential amidation site
The molecular weight of the precursor protein would likely be in the range of 13-14 kDa based on similar peptides in other insects, with an isoelectric point around 6.5-7.0 . The precise sequence would exhibit highest similarity to sulfakinins from closely related cockroach species, forming a phylogenetic cluster with other Blattodea sulfakinins.
Recombinant A. tessellata Sulfakinin-1 can be synthesized through several approaches:
Chemical peptide synthesis: The sulfakinin peptide can be synthesized by specialized peptide synthesis services (similar to the approach used for other sulfakinins) . This method allows for precise control of sulfation at the tyrosine residue.
Molecular cloning and expression:
Isolate total RNA from A. tessellata neural tissue
Generate cDNA using reverse transcription
Amplify the sulfakinin gene using PCR with primers designed based on conserved regions of other cockroach sulfakinins
Clone the gene into an appropriate expression vector
Express in bacterial, insect cell, or plant-based expression systems
Purify using affinity chromatography
Verification methods:
For post-translational modifications like tyrosine sulfation, eukaryotic expression systems may be preferable to ensure proper processing.
Studying the receptor binding and signal transduction of A. tessellata Sulfakinin-1 requires a multi-faceted approach:
Receptor cloning and characterization:
Clone the sulfakinin receptor (SKR) from A. tessellata tissues using RACE PCR approaches similar to those used for other insect SKRs
Perform bioinformatic analysis to identify the seven transmembrane domains characteristic of G-protein-coupled receptors
Express the receptor in cell lines for binding studies
Binding assays:
Use radiolabeled or fluorescently-labeled synthetic sulfakinin peptides
Perform competitive binding assays with sulfated and non-sulfated peptide variants
Determine binding affinity (Kd) and specificity
Signal transduction analysis:
Measure second messenger (cAMP, Ca²⁺) responses in receptor-expressing cells
Use pharmacological inhibitors to determine G-protein coupling specificity
Employ BRET or FRET techniques to study receptor-effector interactions
Functional validation:
These methodologies should incorporate appropriate positive and negative controls, including comparison with known sulfakinin receptor agonists and antagonists from related insect species.
Optimizing RNA interference (RNAi) for studying A. tessellata Sulfakinin-1 function requires careful consideration of several factors:
dsRNA design and synthesis:
Select target regions specific to A. tessellata Sulfakinin-1 with minimal off-target effects
Design primers with T7 promoter sequences for in vitro transcription
Synthesize dsRNA using commercial kits (e.g., T7 Ribo-MAX Express RNAi System)
Consider using fusion dsRNA designs incorporating multiple target sequences to enhance RNAi efficacy, as demonstrated in other insect studies
Delivery optimization:
Validation and assessment:
Physiological measurements:
This approach will enable robust assessment of A. tessellata Sulfakinin-1 physiological functions while minimizing experimental artifacts.
Multiple complementary techniques can be employed to quantify A. tessellata Sulfakinin-1 expression with high sensitivity and specificity:
Quantitative RT-PCR (qRT-PCR):
In situ hybridization:
Develop RNA probes specific for A. tessellata Sulfakinin-1
Optimize fixation protocols for different tissues
Use fluorescent labels for co-localization studies
Analyze using confocal microscopy
Immunochemical methods:
Develop specific antibodies against A. tessellata Sulfakinin-1
Use Western blotting for quantitative analysis
Employ immunohistochemistry for tissue localization
Include appropriate controls (pre-immune serum, peptide competition)
Mass spectrometry:
Implement liquid chromatography-tandem mass spectrometry (LC-MS/MS)
Use multiple reaction monitoring (MRM) for quantification
Develop isotopically labeled internal standards
Validate method sensitivity and specificity
These analytical approaches should be applied to various tissues including brain, gut, fat body, and reproductive organs to establish comprehensive expression profiles across different developmental stages and physiological states.
The sulfation state of tyrosine residues in sulfakinins critically influences their biological activity. Based on studies of sulfakinins in other insect species:
Differential receptor binding:
Sulfated variants typically exhibit 10-100 fold higher receptor binding affinity compared to non-sulfated forms
Different receptor subtypes may show varying preferences for sulfated vs. non-sulfated peptides
The sulfation state can affect receptor subtype selectivity
Biological activity comparison:
Studies in multiple insect species have shown that sulfated sulfakinins are more potent at inhibiting food intake compared to non-sulfated forms
In species like Tribolium castaneum, both sulfated and non-sulfated analogs led to inhibition of food intake, but with different potencies
Receptor activation cascades may differ between sulfated and non-sulfated forms
Experimental approach:
Analysis methods:
Use dose-response curves to calculate EC50/IC50 values for both peptide forms
Apply competition binding assays to determine binding affinities
Measure physiological parameters at different time points after peptide injection
This approach would elucidate the structure-activity relationships of A. tessellata Sulfakinin-1 and provide insights into the evolutionary significance of tyrosine sulfation in neuropeptide signaling.
Based on sulfakinin research in other insect species, A. tessellata Sulfakinin-1 likely plays a significant role in feeding regulation and metabolism:
Feeding behavior modulation:
Inhibition of food intake: Injection of sulfakinins has been shown to decrease carbohydrate feeding in various insects including Phormia regina and Tribolium castaneum
Satiety signaling: RNAi studies in Gryllus bimaculatus demonstrated that silencing sulfakinin resulted in increased food intake
Food quality discrimination: In Drosophila melanogaster, sulfakinin affects the ability to distinguish different quality foods
Metabolic effects:
Carbohydrate metabolism: Sulfakinin injection in insects like D. armandi increases trehalose levels while decreasing glycogen
Lipid metabolism: Sulfakinin administration reduces free fatty acid levels in some insects
Energy homeostasis: The SK signaling pathway appears to integrate nutritional status with feeding behavior
Experimental measurement protocols:
| Parameter | Control | SK-injected (24h) | SK-injected (48h) | SK-RNAi (24h) | SK-RNAi (48h) |
|---|---|---|---|---|---|
| Body weight | Baseline | Decreased | Decreased | Increased | Increased |
| Food intake | Baseline | Decreased | Decreased | Increased | Increased |
| Trehalose | Baseline | Increased | Increased | Decreased | Decreased |
| Glycogen | Baseline | Decreased | Decreased | Increased | Increased |
| Free fatty acids | Baseline | Decreased | Decreased | Increased | Increased |
Note: This table represents predicted outcomes based on studies of sulfakinins in other insect species
Understanding these relationships would provide insights into the neuroendocrine regulation of feeding and metabolism in A. tessellata and potentially other insect species.
The expression patterns of sulfakinins across developmental stages and physiological states are crucial for understanding their regulatory functions. Based on research in other insect species:
Developmental expression profile:
Physiological state influences:
Tissue-specific expression:
Central nervous system: Primary site of sulfakinin production
Digestive system: Important for gut-brain signaling axis
Fat body: Relevant for metabolic regulation
Reproductive organs: Potential role in reproduction
Experimental approach:
Understanding these expression dynamics would provide insights into the regulatory mechanisms controlling A. tessellata Sulfakinin-1 production and its diverse physiological functions throughout the insect's lifecycle.
Comparative analysis of sulfakinins across insect orders reveals important evolutionary patterns and functional conservation:
Structural comparisons:
Core sequence conservation: The C-terminal heptapeptide core sequence (DY(SO3)GHM/LRFamide) is highly conserved across diverse insect orders
N-terminal variability: The N-terminal regions show greater sequence divergence, potentially conferring species-specific functions
Precursor organization: The organization of the precursor protein, including signal peptide and processing sites, shows evolutionary conservation
Phylogenetic relationships:
Coleopteran sulfakinins (e.g., Tribolium castaneum, Dendroctonus armandi) form a distinct phylogenetic cluster
Dipteran sulfakinins (e.g., Drosophila melanogaster) form another major cluster
Blattodean sulfakinins (including A. tessellata) would likely form their own cluster, with highest similarity to other cockroach species
Functional conservation:
Feeding regulation: The satiety-inducing function appears conserved across diverse insect orders
Metabolic effects: Impact on carbohydrate and lipid metabolism shows similar patterns across species
Receptor interactions: Despite sequence variations, the ability to activate G-protein coupled receptors is preserved
Receptor evolution:
Two sulfakinin receptors (SKR1 and SKR2) have been identified in some insects like Drosophila melanogaster
These receptors show similarity to mammalian cholecystokinin receptors (CCKRs)
The evolutionary relationship between insect SKRs and mammalian CCKRs suggests ancient origins of this signaling system
This comparative approach provides insights into the evolutionary history of sulfakinin signaling and helps identify conserved functional domains that may be critical targets for experimental manipulation.
Several molecular tools and approaches can elucidate evolutionary relationships between A. tessellata Sulfakinin-1 and other neuropeptides:
Sequence-based phylogenetic analysis:
Multiple sequence alignment of sulfakinin precursors and mature peptides
Construction of phylogenetic trees using maximum likelihood, Bayesian, or neighbor-joining methods
Analysis of selection pressures using dN/dS ratios to identify conserved functional domains
Ancestral sequence reconstruction to infer evolutionary trajectories
Structural biology approaches:
3D structure prediction using homology modeling
NMR spectroscopy or X-ray crystallography of the peptide alone or in complex with its receptor
Molecular dynamics simulations to study conformational flexibility
Comparison with structures of related neuropeptides and hormone families
Comparative genomics:
Analysis of genomic organization and synteny of sulfakinin genes across species
Identification of conserved regulatory elements in promoter regions
Investigation of gene duplication events and subfunctionalization
Examination of intron-exon boundaries for insights into evolutionary history
Receptor-ligand co-evolution:
Parallel phylogenetic analysis of sulfakinin receptors and their ligands
Investigation of receptor binding determinants across species
Functional characterization of reconstructed ancestral peptides
Cross-species receptor activation studies to test evolutionary constraints
These approaches would place A. tessellata Sulfakinin-1 in an evolutionary context, potentially revealing how this signaling system has been shaped by natural selection across different insect lineages and providing insights into the functional importance of specific structural features.
Optimizing heterologous expression systems for cross-species studies of sulfakinin-receptor interactions requires careful consideration of multiple factors:
Expression system selection:
Mammalian cell lines (HEK293, CHO): Provide appropriate post-translational modifications but may have endogenous GPCRs
Insect cell lines (Sf9, S2): More native-like environment for insect proteins
Yeast systems: Useful for high-throughput screening but limited post-translational modifications
Plant-based systems: Emerging platforms for recombinant protein expression with advantages for certain applications
Vector design optimization:
Codon optimization for the host expression system
Addition of appropriate signal sequences for membrane targeting
Incorporation of epitope tags for detection and purification
Use of inducible promoters for controlled expression
Consideration of Agrobacterium-mediated transient protein expression for plant-based systems
Receptor characterization methodologies:
Radioligand binding assays to measure binding affinities
Calcium mobilization assays for Gq-coupled receptors
cAMP assays for Gs/Gi-coupled receptors
β-arrestin recruitment assays for receptor internalization
BRET/FRET-based approaches for real-time monitoring
Cross-species comparative analysis:
Expression of receptors from multiple species in the same cellular background
Testing of sulfakinins from different species against each receptor
Creation of chimeric receptors to identify critical binding domains
Site-directed mutagenesis to test specific receptor-ligand interaction points
This systematic approach would provide insights into the molecular basis of sulfakinin-receptor interactions and how they have evolved across different insect lineages, potentially revealing novel approaches for pest management strategies targeting specific insect orders.
Producing recombinant A. tessellata Sulfakinin-1 with appropriate post-translational modifications (PTMs) presents several challenges:
Tyrosine sulfation challenges:
Bacterial expression systems lack tyrosylprotein sulfotransferases
Incomplete or heterogeneous sulfation in eukaryotic systems
Potential for sulfate group loss during purification
C-terminal amidation issues:
Requires peptidylglycine α-amidating monooxygenase (PAM)
Most prokaryotic systems lack this enzyme
Even in eukaryotic systems, efficiency can be variable
Solutions and strategies:
Use of specialized eukaryotic expression systems with confirmed PTM capabilities
Co-expression of necessary modification enzymes
Chemical synthesis of the peptide with defined modifications
Semi-synthetic approaches combining recombinant production with chemical modification
Novel plant-based expression systems that have been optimized for certain recombinant proteins
Validation methods:
Mass spectrometry to confirm PTM presence and homogeneity
Bioactivity assays comparing synthetic and recombinant peptides
Receptor binding studies to verify functional equivalence
Structural analysis using circular dichroism or NMR
The table below compares different expression systems for producing sulfated peptides:
| Expression System | Tyrosine Sulfation | C-terminal Amidation | Scalability | Cost | Complexity |
|---|---|---|---|---|---|
| E. coli | No | No | High | Low | Low |
| Yeast (P. pastoris) | Limited | Limited | High | Medium | Medium |
| Insect cells | Good | Good | Medium | High | High |
| Mammalian cells | Excellent | Excellent | Low | Very high | Very high |
| Plant-based systems | Variable | Variable | High | Medium | Medium |
| Chemical synthesis | Complete control | Complete control | Low | High | Low |
Selecting the appropriate production system based on experimental requirements and available resources is crucial for generating functionally relevant recombinant A. tessellata Sulfakinin-1.
Maintaining stability and bioactivity of recombinant A. tessellata Sulfakinin-1 throughout purification and storage requires careful optimization:
Purification considerations:
Minimize exposure to extreme pH conditions that may affect tyrosine sulfation
Use affinity chromatography approaches with mild elution conditions
Consider size exclusion chromatography as a final polishing step
Monitor peptide integrity throughout purification using mass spectrometry
Maintain low temperatures during all processing steps
Buffer optimization:
Determine optimal pH range (typically pH 6.5-7.5 for sulfated peptides)
Test various buffer systems (phosphate, HEPES, Tris) for compatibility
Include stabilizing agents such as glycerol (5-10%)
Consider the addition of protease inhibitors to prevent degradation
Test for compatibility with experimental assays
Storage conditions:
Lyophilization with appropriate cryoprotectants for long-term storage
For solution storage, use sterile, low-binding microcentrifuge tubes
Store concentrated aliquots (>1 mg/mL) to minimize freeze-thaw cycles
Optimal storage temperature (-80°C for long-term; -20°C for working stocks)
Evaluate stability under different storage conditions using activity assays
Quality control measures:
Regular testing of bioactivity using receptor activation assays
Periodic mass spectrometry analysis to confirm maintenance of PTMs
Circular dichroism spectroscopy to monitor secondary structure
HPLC analysis to detect degradation products or aggregation
Implementing these strategies will help ensure that the recombinant A. tessellata Sulfakinin-1 maintains its structural integrity and functional activity throughout experimental use, leading to more reliable and reproducible research outcomes.
Robust controls and validation steps are critical for ensuring reliable and interpretable results when studying A. tessellata Sulfakinin-1:
Peptide controls:
Use both sulfated and non-sulfated versions to establish structure-activity relationships
Include scrambled peptide sequences as negative controls
Test dose-dependency with multiple concentrations
Compare with known sulfakinins from other species as reference standards
Experimental controls:
Phenotypic validation:
Complementary approaches:
Metabolic parameter measurements:
These comprehensive controls and validation steps ensure that any observed effects can be confidently attributed to A. tessellata Sulfakinin-1 signaling rather than experimental artifacts or off-target effects, strengthening the scientific validity of the findings.
Research on A. tessellata Sulfakinin-1 has significant potential to advance our understanding of neuropeptide signaling evolution:
Evolutionary insights:
Cockroaches represent an ancient insect lineage, making A. tessellata Sulfakinin-1 valuable for understanding ancestral neuropeptide functions
Comparing sulfakinins across cockroach species and other insect orders can reveal patterns of functional conservation and divergence
Analysis of receptor-ligand co-evolution can illuminate molecular mechanisms of signaling specificity
Functional conservation assessment:
Comparative physiology opportunities:
Analyzing differential roles of sulfakinins in hemimetabolous insects (like cockroaches) versus holometabolous insects
Exploring potential developmental roles that may differ between insect orders
Investigating tissue-specific functions that may have evolved independently
Molecular evolution analysis:
This research would contribute to a broader understanding of how neuropeptide signaling systems evolve and how functional conservation relates to structural conservation across the arthropod phylum.
Several cutting-edge experimental approaches could significantly advance our understanding of A. tessellata Sulfakinin-1 signaling:
CRISPR-Cas9 genome editing:
Generate precise knockout or knockin models in A. tessellata
Create reporter lines with fluorescently tagged sulfakinin or receptor proteins
Introduce point mutations to test structure-function relationships
Develop conditional expression systems for temporal control
Single-cell transcriptomics and proteomics:
Map sulfakinin and receptor expression at cellular resolution
Identify co-expressed neuropeptides and receptors
Characterize cell type-specific signaling networks
Track developmental and physiological state-dependent expression changes
Optogenetic and chemogenetic approaches:
Develop tools for temporally precise activation/inhibition of sulfakinin neurons
Create receptor variants activated by light or designer drugs
Combine with behavioral assays for real-time functional analysis
Implement circuit mapping to identify downstream targets
Advanced imaging technologies:
Use calcium imaging to monitor real-time neural activity
Implement FRET-based sensors to visualize receptor activation
Apply expansion microscopy for nanoscale structural analysis
Develop in vivo imaging approaches to track peptide release
Computational modeling:
Simulate receptor-ligand interactions using molecular dynamics
Model signaling networks to predict system-level responses
Develop machine learning approaches to identify regulatory motifs
Implement phylogenetic methods to trace evolutionary trajectories
These innovative approaches would provide unprecedented insights into the spatial, temporal, and molecular details of A. tessellata Sulfakinin-1 signaling, potentially revealing novel regulatory mechanisms and functional roles.
Integrated multi-omics approaches offer powerful strategies to comprehensively characterize the regulatory networks involving A. tessellata Sulfakinin-1:
Genomics foundation:
Whole genome sequencing of A. tessellata to identify sulfakinin gene family members
Comparative genomic analysis with other cockroach species
Identification of regulatory elements in promoter and enhancer regions
Analysis of genetic variation in natural populations
Transcriptomics integration:
RNA-seq analysis under different physiological conditions (feeding, starvation, stress)
Tissue-specific transcriptome profiling
Temporal expression analysis across developmental stages
Alternative splicing analysis of sulfakinin and receptor transcripts
Proteomics approaches:
Global proteome analysis following sulfakinin treatment or RNAi
Phosphoproteomics to map signaling cascade components
Peptidomics to identify co-released neuropeptides
Interactomics to characterize protein-protein interaction networks
Metabolomics dimension:
Data integration strategies:
Network analysis to identify regulatory hubs
Pathway enrichment analysis to characterize affected biological processes
Machine learning approaches to predict novel regulatory connections
Systems biology modeling to simulate dynamic responses
This multi-layered approach would provide a comprehensive understanding of how A. tessellata Sulfakinin-1 signaling intersects with various physiological and metabolic processes, revealing the complex regulatory networks that mediate its diverse functions.