Protein name: Adenosine monophosphate-protein transferase FICD homolog
Gene: CPIJ001789 (UniProt ID: B0W429)
Species: Culex quinquefasciatus (Southern house mosquito)
Enzyme Commission (EC) number: 2.7.7.n1 (provisional classification for AMP-transferase activity) .
This recombinant protein corresponds to residues 1–500 of the full-length native enzyme, featuring a calculated molecular mass of ~83 kDa . The FIC (Filamentation Induced by cAMP) domain, conserved across species, mediates AMPylation—a regulatory mechanism influencing protein activity .
Amino acid sequence: Includes catalytic motifs critical for AMP transfer .
Signal peptide: Absent, indicating cytoplasmic or nuclear localization.
Post-translational modifications: Contains potential N-glycosylation sites, though experimental validation is pending .
Modulates metabolic pathways via AMPylation, potentially affecting detoxification enzymes (e.g., cytochrome P450s) linked to insecticide resistance .
May regulate larval development, given the expanded gene families in C. quinquefasciatus associated with xenobiotic metabolism .
Gene family: Part of the C. quinquefasciatus genome, which contains 18,883 protein-coding genes—22% more than Aedes aegypti .
Evolutionary expansion: Belongs to expanded detoxification-related gene families, including cytochrome P450s and glutathione transferases .
Orthologs: Shares homology with FICD proteins in Drosophila melanogaster and humans, which regulate endoplasmic reticulum stress responses .
Mechanistic studies: Used to investigate AMPylation’s role in mosquito physiology and insecticide resistance .
Drug discovery: Target for inhibitors aiming to disrupt detoxification pathways in disease-vector mosquitoes .
Comparative genomics: Facilitates analysis of FICD homolog divergence within the Culex pipiens species complex .
This protein functions as a dual-acting enzyme, mediating both the addition (AMPylation) and removal (de-AMPylation) of adenosine 5'-monophosphate (AMP) to/from target proteins. The Glu-251 residue dictates whether AMPylation or de-AMPylation occurs. It plays a critical regulatory role in the unfolded protein response (UPR) by modulating the AMPylation/de-AMPylation of Hsc70-3/BiP. Under non-stress conditions, it AMPylates Hsc70-3/BiP at Thr-518, leading to inactivation. Conversely, under endoplasmic reticulum stress, it de-AMPylates Hsc70-3/BiP at Thr-518, restoring HSPA5/BiP activity.
KEGG: cqu:CpipJ_CPIJ001789
Culex quinquefasciatus (Say, 1823), commonly known as the southern house mosquito, belongs to the Culex pipiens species complex. Its taxonomic classification is as follows: Domain Eukaryota, Kingdom Animalia, Phylum Arthropoda, Class Insecta, Order Diptera, Family Culicidae, Genus Culex, Species C. quinquefasciatus . The significance of this mosquito for FICD homolog research lies in its role as a major disease vector for filariasis, avian malaria, and various arboviruses including West Nile virus, Zika virus, and St. Louis encephalitis . Understanding the function of proteins like FICD homolog in this species can provide insights into vector-pathogen interactions and potential targets for vector control strategies.
The Adenosine monophosphate-protein transferase FICD homolog in Culex quinquefasciatus shares several conserved domains with FICD proteins from other insect species such as Drosophila simulans (DsimGD23409) and Drosophila grimshawi (DgriGH10751) . All these proteins contain the characteristic FIC domain (Filamentation induced by cAMP) and retain the enzymatic function that typically includes AMPylation activity.
When conducting comparative structural analysis, researchers should focus on:
Amino acid sequence alignment using tools like CLUSTAL W to identify conserved regions
Domain prediction using databases such as PFAM or InterPro
Tertiary structure modeling using homology modeling based on solved crystal structures
Analysis of catalytic residues in the active site that are essential for AMPylation activity
A typical sequence identity matrix comparing FICD homologs across species would appear as follows:
| Species | C. quinquefasciatus | D. simulans | D. grimshawi | H. sapiens |
|---|---|---|---|---|
| C. quinquefasciatus | 100% | 62-65% | 60-63% | 42-45% |
| D. simulans | 62-65% | 100% | 78-82% | 40-43% |
| D. grimshawi | 60-63% | 78-82% | 100% | 38-42% |
| H. sapiens | 42-45% | 40-43% | 38-42% | 100% |
Note: Percentage ranges are estimated based on typical conservation patterns among related species.
The selection of an appropriate expression system for Culex quinquefasciatus FICD homolog depends on research objectives and downstream applications. Multiple expression platforms can be utilized with varying advantages:
Bacterial Expression (E. coli):
For basic structure-function studies, E. coli remains the most accessible and cost-effective system . Recommended strains include BL21(DE3) for general expression or Rosetta(DE3) for codon optimization of insect proteins. The protocol should incorporate:
Cloning the CPIJ001789 gene into pET vectors (pET-28a or pET-SUMO for improved solubility)
Induction with 0.1-0.5mM IPTG at lower temperatures (16-20°C) to enhance proper folding
Lysis in buffer containing 50mM Tris-HCl (pH 8.0), 300mM NaCl, 10% glycerol, 1mM DTT, and protease inhibitors
Baculovirus-Insect Cell System:
For applications requiring post-translational modifications, Sf9 or High Five insect cells provide a more native environment for mosquito protein expression . This system typically yields:
Improved protein solubility compared to bacterial systems
Proper disulfide bond formation
Appropriate glycosylation patterns when present
Yeast Expression (P. pastoris):
Offers a balance between bacterial simplicity and eukaryotic processing capability . The methanol-inducible AOX1 promoter system in P. pastoris provides:
Controlled induction
High cell density cultures
Secretion options for simplified purification
Purification of recombinant CPIJ001789 requires careful consideration of buffer conditions and chromatography techniques to preserve enzymatic activity. A multi-step purification approach is recommended:
Initial Capture:
Immobilized Metal Affinity Chromatography (IMAC) using Ni-NTA resin for His-tagged protein
Buffer composition: 50mM Tris-HCl pH 8.0, 300mM NaCl, 10% glycerol, 5-20mM imidazole for binding, 250-300mM imidazole for elution
Addition of 1mM DTT or 5mM β-mercaptoethanol helps maintain reduced cysteines
Intermediate Purification:
Ion Exchange Chromatography (IEX) using Q-Sepharose or SP-Sepharose depending on the protein's theoretical pI
Buffer optimization: lower salt concentration (50mM NaCl) for binding, gradient to 500mM NaCl for elution
Polishing Step:
Size Exclusion Chromatography (SEC) using Superdex 200 column
Running buffer containing 25mM HEPES pH 7.5, 150mM NaCl, 5% glycerol, 1mM DTT
Activity preservation considerations:
Include 1-5mM MgCl₂ in all buffers as FICD proteins typically require divalent cations for activity
Add 10% glycerol to prevent aggregation and stabilize the protein
Store purified protein at concentrations >1mg/ml to prevent surface adsorption
Flash-freeze aliquots in liquid nitrogen for long-term storage at -80°C
AMPylation activity assessment for the Culex quinquefasciatus FICD homolog requires specialized assays that detect the transfer of AMP to target proteins. Several complementary approaches are recommended:
Radiometric Assay:
The gold standard for quantitative analysis involves using radiolabeled ATP (α-³²P-ATP):
Incubate purified FICD homolog (0.5-1μM) with potential substrate proteins (2-5μM)
Reaction buffer: 50mM HEPES pH 7.5, 150mM NaCl, 5mM MgCl₂, 0.1mM ATP, 1μCi α-³²P-ATP
Incubate at 30°C for 30-60 minutes
Resolve proteins by SDS-PAGE, dry the gel, and expose to phosphorscreen
Quantify incorporated radioactivity using phosphorimager analysis
Fluorescence-based Assay:
A non-radioactive alternative using fluorescent ATP analogs:
Utilize ATP-γ-AmNS (aminonaphthalene sulfonate) or similar fluorescent ATP analogs
Monitor fluorescence changes (excitation: 330nm, emission: 460nm) upon AMP transfer
Calculate enzyme kinetics parameters (Km, Vmax) using varying substrate concentrations
Mass Spectrometry Detection:
For identification of specific AMPylation sites:
Perform in vitro AMPylation reaction with unlabeled ATP
Digest products with trypsin or other suitable proteases
Analyze by LC-MS/MS to detect the characteristic +329 Da mass shift
Confirm AMPylation sites by targeted MS/MS fragmentation patterns
Identifying the physiological substrates of CPIJ001789 requires integration of multiple experimental approaches:
Affinity Purification-Mass Spectrometry (AP-MS):
Express epitope-tagged CPIJ001789 (FLAG, HA, or biotin) in mosquito cells
Perform crosslinking with formaldehyde or DSS to capture transient interactions
Immunoprecipitate the protein complex using appropriate antibodies or affinity resins
Identify co-purifying proteins by LC-MS/MS analysis
Validate interactions using reciprocal pulldowns and co-immunoprecipitation
Proximity-dependent Biotin Identification (BioID):
Generate a fusion protein of CPIJ001789 with BirA* biotin ligase
Express in mosquito cells and supply biotin to the medium
Harvest cells and purify biotinylated proteins using streptavidin beads
Identify proteins by mass spectrometry
Create interaction network maps based on identified proteins
In vitro AMPylation Screening:
Prepare mosquito cell lysates or recombinant protein libraries
Perform AMPylation reactions with purified CPIJ001789 and α-³²P-ATP
Resolve by 2D gel electrophoresis
Identify labeled proteins by mass spectrometry
Confirm direct AMPylation using purified candidate proteins
Typical substrate identification results may be presented as follows:
| Candidate Substrate | Detection Method | Validation Status | AMPylation Site |
|---|---|---|---|
| BiP/GRP78 homolog | AP-MS, In vitro AMPylation | Confirmed | Thr518 |
| Hsp70 family member | BioID, AP-MS | Confirmed | Ser400 |
| Elongation factor 2 | In vitro screening | Preliminary | Thr56 |
| Calmodulin | AP-MS | Not confirmed | N/A |
| 14-3-3 protein | BioID | Under investigation | Thr214 |
The potential relationship between CPIJ001789 expression and insecticide resistance in Culex quinquefasciatus can be understood by examining mechanisms observed in related proteins. Studies on aldehyde oxidase in insecticide-resistant strains of C. quinquefasciatus have shown gene amplification and elevated enzyme activity , suggesting similar mechanisms may apply to other proteins involved in xenobiotic metabolism.
To investigate CPIJ001789's role in resistance, researchers should:
Compare CPIJ001789 expression levels between susceptible and resistant mosquito strains using:
qRT-PCR for transcript quantification
Western blotting for protein levels
Activity assays for functional enzyme levels
Analyze genomic copy number variations:
Quantitative PCR to determine if gene amplification occurs
Fluorescence in situ hybridization (FISH) to visualize amplicons
Whole genome sequencing to identify structural variations
Investigate regulatory mechanisms:
Promoter sequence analysis for mutations affecting transcription
ChIP-seq to identify transcription factors regulating expression
Reporter assays to measure promoter activity differences
Research on aldehyde oxidase in C. quinquefasciatus found that the resistant strain contained an amplified AO gene on a 30-kb DNA amplicon alongside resistance-associated esterases, resulting in elevated AO activity across all life stages, with highest activity in 3rd instar larvae . This provides a model for studying CPIJ001789, as AMPylation may similarly modulate proteins involved in detoxification pathways.
To establish whether CPIJ001789 directly affects insecticide metabolism or clearance, a multi-faceted approach is necessary:
In vitro Insecticide Modification Assays:
Incubate purified CPIJ001789 with various insecticide classes (pyrethroids, organophosphates, carbamates)
Use HPLC-MS to detect potential chemical modifications
Quantify reaction rates and substrate specificity
Compare activity against insecticides with activity of known detoxification enzymes
RNAi-mediated Knockdown Studies:
Develop dsRNA targeting CPIJ001789
Deliver to mosquitoes via microinjection or ingestion
Confirm knockdown via qRT-PCR and Western blotting
Assess insecticide susceptibility using WHO tube bioassays or CDC bottle bioassays
Calculate LC50 values and compare to controls
CRISPR-Cas9 Gene Editing:
Design guide RNAs targeting CPIJ001789
Introduce CRISPR-Cas9 components into embryos
Screen for successful mutants
Characterize phenotypes related to insecticide tolerance
Perform complementation studies with wild-type gene
Metabolomics Analysis:
Expose wild-type and CPIJ001789-knockdown mosquitoes to sublethal insecticide doses
Extract and analyze metabolites using LC-MS/MS
Identify differences in insecticide metabolite profiles
Map metabolic pathways affected by CPIJ001789 activity
Previous studies on AO in C. quinquefasciatus demonstrated partial inhibition of elevated AO activity by various insecticides, suggesting a role in insecticide resistance . Similar experimental designs could reveal whether CPIJ001789's AMPylation activity modifies proteins in detoxification pathways, potentially altering their function or stability in response to insecticide exposure.
Obtaining high-quality protein crystals of Culex quinquefasciatus FICD homolog for X-ray crystallography requires systematic screening and optimization. Based on crystallization studies of related proteins, the following approach is recommended:
Initial Preparation:
Ensure protein purity >95% as assessed by SDS-PAGE and SEC-MALS
Concentrate protein to 8-15 mg/ml in crystallization buffer (20mM HEPES pH 7.5, 150mM NaCl, 5% glycerol, 1mM DTT)
Remove aggregates by centrifugation at 16,000×g for 10 minutes at 4°C
Filter through 0.22μm filter immediately before setting up crystallization trials
Primary Screening:
Employ commercial sparse matrix screens (Hampton Research Crystal Screen 1 & 2, Molecular Dimensions PACT premier)
Use sitting drop vapor diffusion method with 1:1 ratio of protein:reservoir (0.5μl each)
Incubate at both 4°C and 18°C
Observe regularly for crystal formation over 2-4 weeks
Optimization Strategies:
Fine-tune promising conditions by varying:
pH in 0.2 unit increments
Precipitant concentration in 2% increments
Protein concentration between 5-20 mg/ml
Implement additive screening with Hampton Research Additive Screen
Try seeding techniques from initial microcrystals
Explore alternative crystallization methods (hanging drop, microbatch under oil)
Co-crystallization with Ligands:
Include ATP or non-hydrolyzable analogs (AMPPNP, ATPγS) at 2-5mM
Add 5mM MgCl₂ to stabilize nucleotide binding
Pre-incubate protein with ligands for 30 minutes on ice before setting up trials
Based on successful crystallization of related FICD proteins, the following conditions often yield promising results:
| Buffer System | pH Range | Precipitant | Salt | Additive | Temperature |
|---|---|---|---|---|---|
| HEPES | 7.0-7.5 | 15-25% PEG 3350 | 0.2M Li₂SO₄ | 10mM MgCl₂ | 18°C |
| Tris-HCl | 8.0-8.5 | 1.6-2.0M (NH₄)₂SO₄ | 0.1M NaCl | 5% Glycerol | 4°C |
| MES | 6.0-6.5 | 10-20% PEG 6000 | 0.2M CaCl₂ | 2mM ATP | 18°C |
| Sodium acetate | 4.5-5.0 | 25-35% MPD | 0.1M MgCl₂ | 1mM DTT | 4°C |
Molecular dynamics (MD) simulations offer powerful insights into the atomic-level movements and interactions that govern CPIJ001789's catalytic mechanism. A comprehensive MD study should include:
System Preparation:
Build an accurate homology model of CPIJ001789 using templates from related FICD proteins
Include substrate ATP, cofactor Mg²⁺, and potential protein substrates
Embed in explicit solvent (TIP3P water model) with physiological ion concentration
Apply AMBER or CHARMM force fields optimized for protein-nucleotide interactions
Perform energy minimization to resolve steric clashes
Simulation Protocol:
Equilibration: gradually heat system to 300K over 1ns, maintaining constant pressure
Production runs: minimum 100ns for basic dynamics, 1μs or longer for rare events
Replicate simulations (at least 3) with different starting velocities
Enhanced sampling techniques for exploring high-energy transitions:
Umbrella sampling for free energy profiles
Metadynamics for mapping reaction pathways
Accelerated MD for overcoming energy barriers
Analysis Focus Areas:
Active site dynamics:
Monitor distances between catalytic residues and ATP
Track water molecule positions for potential nucleophilic attack
Analyze Mg²⁺ coordination geometry
Conformational transitions:
Principal Component Analysis (PCA) to identify major motions
RMSD and RMSF calculations to quantify structural flexibility
Identify allosteric networks using dynamic cross-correlation matrices
Substrate recognition:
Calculate binding free energies using MM/PBSA or MM/GBSA
Identify key residue interactions through hydrogen bond analysis
Map electrostatic complementarity between enzyme and substrate
Key findings from MD simulations typically reveal:
Conformational changes associated with substrate binding
Water-mediated interactions essential for catalysis
Proton transfer pathways during the reaction
Rate-limiting steps in the catalytic cycle
These insights can guide mutagenesis experiments to validate mechanistic hypotheses and inform protein engineering efforts to modify enzyme activity.
The evolutionary analysis of FICD homologs across mosquito vectors provides critical insights into protein conservation and potential vector control targets. A comprehensive evolutionary study should include:
Sequence Collection and Alignment:
Extract FICD homolog sequences from:
Culex quinquefasciatus (southern house mosquito)
Aedes aegypti (yellow fever mosquito)
Anopheles gambiae (malaria mosquito)
Other relevant disease vectors
Include outgroups from non-vector insects (Drosophila) and mammals
Perform multiple sequence alignment using MUSCLE or MAFFT with iterative refinement
Manually inspect alignments, especially in catalytic regions
Phylogenetic Analysis:
Construct phylogenetic trees using:
Maximum Likelihood (RAxML or IQ-TREE)
Bayesian Inference (MrBayes)
Neighbor-Joining as a complementary approach
Apply appropriate substitution models (LG+G+F, WAG+I+G)
Assess node support through bootstrap replication (1000 replicates)
Root trees with appropriate outgroups
Selection Pressure Analysis:
Calculate dN/dS ratios across sequence alignments
Identify sites under positive or purifying selection using PAML or HyPhy
Map selection patterns onto protein structure
Correlate evolutionary rates with functional domains
Implications for Vector Control:
Identify highly conserved regions that may serve as broad-spectrum targets
Evaluate species-specific variations that could affect inhibitor specificity
Assess potential for resistance development based on genetic diversity
Consider impact of targeting FICD function on vector fitness
Evolutionary patterns typical of FICD homologs include:
High conservation of catalytic motifs across vector species
Variable regulatory domains that may affect tissue-specific expression
Evidence of occasional positive selection in regions interacting with pathogens
Conservation of structural features despite sequence divergence
Predicting the regulatory network of CPIJ001789 requires integration of multiple bioinformatic approaches that span genomic, transcriptomic, and network analysis:
Promoter Analysis:
Extract 2-3kb upstream region of CPIJ001789 from Culex quinquefasciatus genome
Identify conserved transcription factor binding sites using:
JASPAR database with TFBS Scan
MEME Suite for de novo motif discovery
PhyloGibbs for phylogenetically conserved elements
Compare with promoters of co-expressed genes for common regulatory elements
Map enhancer elements using chromatin accessibility data (when available)
Expression Correlation Networks:
Analyze RNA-seq data across developmental stages and tissues
Build co-expression networks using WGCNA or similar tools
Identify gene modules containing CPIJ001789
Perform Gene Ontology enrichment of co-expressed genes
Infer key transcription factors using master regulator analysis
Comparative Genomics Approach:
Extract orthologous FICD promoters from related mosquito species
Perform phylogenetic footprinting to identify conserved regulatory elements
Map syntenic regions to identify potential distant regulatory elements
Compare with expression patterns in related species
Integration with Physiological Data:
Correlate expression with insecticide exposure responses
Analyze patterns during immune challenges
Examine regulation during blood feeding and reproduction
Identify circadian expression patterns
A typical output of regulatory network analysis may include:
| Predicted Regulator | Evidence Type | Binding Site Position | Physiological Condition |
|---|---|---|---|
| FOXO | Motif Conservation | -856 to -843 | Nutrient deprivation |
| HSF1 | ChIP-seq, Motif | -1245 to -1231 | Heat shock, Stress |
| STAT | Coexpression | -432 to -421 | Immune challenge |
| E-box (CLK/CYC) | Motif, Expression | -125 to -116 | Circadian regulation |
| Met/Gce | Comparative genomics | -1876 to -1862 | Juvenile hormone response |
These predicted relationships can guide experimental validation through reporter assays, ChIP-qPCR, and functional studies of identified transcription factors.
Optimizing CRISPR-Cas9 gene editing of CPIJ001789 in Culex quinquefasciatus requires careful consideration of several technical aspects:
Guide RNA Design:
Select target sites within early exons to ensure complete loss-of-function
Use tools like CHOPCHOP or CRISPOR for guide design, considering:
On-target efficiency scores (>0.6 preferred)
Minimal off-target potential (<2 off-targets with >3 mismatches)
GC content between 40-60%
Design multiple sgRNAs (at least 3-4) targeting different regions
Include sgRNA targeting a visible marker gene (e.g., white, kmo) as control
Delivery Methods:
Embryo microinjection:
Collect eggs within 1 hour of oviposition
Align along double-sided tape
Inject at posterior end with minimal volume (0.1-0.2nl)
Cas9 concentration: 300-500ng/μl
sgRNA concentration: 100-150ng/μl each
RNP complex preparation:
Pre-assemble Cas9 protein with sgRNA (10:1 molar ratio)
Incubate at 37°C for 10 minutes before injection
Include tracrRNA if using crRNA system
Mutation Detection Strategies:
Initial screening:
T7 Endonuclease I assay of PCR amplicons
Heteroduplex mobility assay
Direct Sanger sequencing with TIDE analysis
Comprehensive characterization:
Next-generation sequencing of target region
Long-range PCR to detect larger indels
RT-PCR to assess transcript alterations
Generating Stable Lines:
Cross G0 adults to wild-type
Pool eggs from multiple crosses
Screen F1 individuals by genotyping
Establish homozygous lines through controlled crosses
Confirm phenotype stability across generations
Functional Validation Approaches:
Molecular characterization:
Verify protein loss by Western blotting
Assess transcript changes via qRT-PCR
Measure AMPylation activity in mutant tissues
Phenotypic analysis:
Development rate and viability
Insecticide susceptibility
Reproductive capacity
Vector competence for pathogens
Success rates for CRISPR-Cas9 editing in Culex mosquitoes typically range from 5-30% of G0 individuals carrying mutations, with efficiency varying based on target site accessibility and technical parameters.
The AMPylation activity of CPIJ001789 presents unique opportunities for developing targeted mosquito control strategies:
Small Molecule Inhibitor Development:
Structure-based drug design targeting the FICD active site:
Virtual screening against the ATP binding pocket
Fragment-based approaches to identify initial scaffolds
Rational design based on transition state analogs
High-throughput screening:
Develop fluorescence-based assays for AMPylation inhibition
Screen diverse chemical libraries (10,000-100,000 compounds)
Optimize lead compounds for potency and selectivity
Selectivity considerations:
Target mosquito-specific structural features
Minimize activity against mammalian FICD homologs
Assess effects on beneficial insects
Transgenic Approaches:
Conditional expression systems:
Design constructs expressing modified CPIJ001789 with enhanced activity
Place under blood-meal inducible promoters
Create dominant negative variants to interfere with wild-type function
Gene drive strategies:
CRISPR-based homing endonuclease gene drives targeting CPIJ001789
Precision guided sterile insect technique
Evaluate ecological implications and containment strategies
Biopesticide Development:
Peptide inhibitors:
Design cyclic peptides mimicking substrate binding regions
Optimize for cell penetration using CPP (cell-penetrating peptide) tags
Assess stability under field conditions
Delivery systems:
Microencapsulation for environmental protection
Attractive toxic sugar baits incorporating inhibitors
Larvicide formulations targeting breeding sites
Fitness Impact Analysis:
Reproductive capacity:
Egg production and viability
Mating competitiveness
Blood feeding success
Vector competence:
Pathogen development within modified vectors
Transmission efficiency
Host-seeking behavior
The potential advantages of targeting CPIJ001789 include:
Specificity to mosquito vectors compared to broad-spectrum insecticides
Novel mode of action to address resistance to conventional insecticides
Potential to target vector capacity without immediate lethality, reducing selection pressure
The post-translational regulation of CPIJ001789 in response to environmental stressors represents a complex and understudied area with significant implications for mosquito biology. To investigate this relationship, researchers should employ the following approaches:
Identification of Post-Translational Modifications (PTMs):
Mass spectrometry-based PTM mapping:
Enrich for phosphorylated, acetylated, or ubiquitinated peptides
Compare PTM profiles across stress conditions (heat shock, oxidative stress, insecticide exposure)
Quantify changes using SILAC or TMT labeling
Site-directed mutagenesis of identified PTM sites:
Generate non-modifiable variants (S/T→A for phosphorylation)
Create phosphomimetic mutations (S/T→D/E)
Assess impact on enzyme activity and localization
Protein-Protein Interaction Networks:
Identify regulatory binding partners:
Yeast two-hybrid screening against mosquito cDNA library
Co-immunoprecipitation followed by mass spectrometry
Bimolecular fluorescence complementation in cultured cells
Map interaction dynamics during stress:
Proximity labeling under different conditions
FRET/BRET assays to monitor real-time interactions
Quantitative interactomics with and without stressors
Subcellular Localization Studies:
Generate fluorescent protein fusions:
C-terminal and N-terminal tags to assess impact on localization
Photoactivatable tags for dynamics studies
Track localization changes:
Live-cell imaging during stress induction
Subcellular fractionation followed by Western blotting
Co-localization with organelle markers
Enzyme Kinetics Under Stress Conditions:
Measure activity parameters with modified enzyme:
Determine Km and Vmax changes after phosphorylation
Assess substrate preference alterations
Quantify reaction rates at different temperatures
Research focusing on FICD proteins in other systems has revealed regulation through:
Autoinhibitory domains that can be relieved by phosphorylation
Oligomerization states that change with stress
Allosteric regulation by metabolites that accumulate during stress
pH-dependent conformational changes
Similar mechanisms likely apply to CPIJ001789 and may explain how its activity is modulated during the mosquito's response to environmental challenges.
The potential role of CPIJ001789 in the endoplasmic reticulum (ER) stress response of Culex quinquefasciatus represents an important research direction based on known functions of FICD proteins in other organisms:
ER Stress Response Pathway Analysis:
Characterize the unfolded protein response (UPR) components in C. quinquefasciatus:
Identify and clone IRE1, PERK, and ATF6 orthologs
Map signaling cascade through transcriptomics
Compare with known pathways in Drosophila and mammals
Examine CPIJ001789 expression during ER stress:
Induce stress with tunicamycin, thapsigargin, or DTT
Measure transcript levels by qRT-PCR
Assess protein levels and localization by immunofluorescence
BiP/GRP78 Interaction Studies:
Investigate CPIJ001789-mediated AMPylation of BiP:
Express and purify recombinant C. quinquefasciatus BiP
Perform in vitro AMPylation assays with purified CPIJ001789
Map modification sites by mass spectrometry
Functional consequences of BiP AMPylation:
Measure ATPase activity of modified vs. unmodified BiP
Assess client binding capacity changes
Determine impact on BiP oligomerization states
CPIJ001789 Knockout/Knockdown Phenotypes:
Generate CPIJ001789-deficient mosquito lines:
CRISPR-Cas9 gene editing for complete knockout
RNAi for tissue-specific or conditional knockdown
Challenge with ER stressors:
Measure survival rates and developmental timing
Assess global gene expression changes by RNA-seq
Examine ER morphology by electron microscopy
Integration with Physiological Responses:
Investigate role during specific life-stage transitions:
Blood meal digestion (high protein synthesis demand)
Metamorphosis (tissue remodeling)
Diapause entry/exit (metabolic reprogramming)
Connect to immunity and vectorial capacity:
Challenge with pathogens that induce ER stress
Measure infection rates in CPIJ001789-deficient mosquitoes
Assess impact on virus replication and dissemination
Based on studies of FICD proteins in other systems, potential roles for CPIJ001789 include:
Reversible AMPylation of BiP to regulate chaperone activity
Fine-tuning of UPR intensity and duration
Protection against chronic or excessive ER stress
Integration of ER homeostasis with developmental programs
A mechanistic understanding of CPIJ001789's role in ER stress could reveal new approaches to disrupt vector physiology by targeting this critical homeostatic mechanism.