Recombinant Neosartorya fumigata Aspartic-type endopeptidase ctsD (ctsD)

Shipped with Ice Packs
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Product Specs

Form
Lyophilized powder.
Note: While we prioritize shipping the format currently in stock, please specify your format preference during ordering for custom preparation.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard blue ice packs unless dry ice shipping is specifically requested and agreed upon in advance. Additional fees apply for dry ice shipping.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50% and may serve as a guideline.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process.
The tag type is determined during production. If a specific tag type is required, please inform us, and we will prioritize its development.
Synonyms
ctsD; AFUA_4G07040Aspartic-type endopeptidase ctsD; EC 3.4.23.-
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
20-452
Protein Length
Full Length of Mature Protein
Purity
>85% (SDS-PAGE)
Species
Neosartorya fumigata (strain ATCC MYA-4609 / Af293 / CBS 101355 / FGSC A1100) (Aspergillus fumigatus)
Target Names
Target Protein Sequence
F VPYSFNLEVS TEGPPSNDVA RRFVPWKLLL DDSYNNHGSS SNGVSLTLDL KKFPVRRDNK YKVVLADEPT TPNTAALNQE GLDYSYFATV RVGSQGQQMW LVLDTGGPNT WVFGSDCTTV ACQRHETFGE AASKSLKLLP LNWAVGYGTG LVSGVLGTDS LSLAGLDVNM TFGLAKNAST DFESYPVDGI LGLGRSANSN FNTPSFMETV ATQRLLKSNI IGFSFSRNSD GARDGAANFG DLDTTRFTGD IVYTNTTGDS NNWRIPLDDA SVNGTPCRFV NKTAVIDTGT SYAMLPPKDA TVLHNLIPGA VTTSHGQNFT LPCNSTAVVQ VSFSGLSYNI SPKDYVGPAY GSACLSTIVG QALYGDDVWL LGDVFLKNVY SVFDYDNHRI GFANRSVPIA SPTTTVAAAA NPSATDGAGS TLTGSMAVHT GS
Uniprot No.

Target Background

Function
A secreted aspartic-type endopeptidase that contributes to virulence.
Database Links
Protein Families
Peptidase A1 family
Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor.

Q&A

What is Recombinant Neosartorya fumigata Aspartic-type endopeptidase ctsD and how does it compare to other fungal allergens?

Recombinant Neosartorya fumigata Aspartic-type endopeptidase ctsD is a proteolytic enzyme belonging to the aspartic protease family produced by the pathogenic fungus Neosartorya fumigata (Aspergillus fumigatus). Unlike other characterized allergens such as Asp f 2, which functions primarily as a major allergen with a molecular weight of 47.2 kDa, ctsD serves primarily as an endopeptidase involved in protein degradation processes . The protein structure typically features the characteristic aspartic protease fold with two catalytic aspartate residues in the active site. When produced recombinantly, it is commonly expressed in bacterial systems such as E. coli with suitable tags (similar to the N-terminal 6xHis-SUMO-tagged configuration seen in other Neosartorya fumigata proteins) to facilitate purification while maintaining enzymatic function .

What expression systems are most effective for producing functional Recombinant Neosartorya fumigata ctsD?

Expression SystemAdvantagesDisadvantagesRecommended Applications
E. coliHigh yield, economical, rapid expressionPotential for inclusion bodies, limited post-translational modificationsInitial characterization, antibody production
Yeast (P. pastoris)Better folding, some post-translational modificationsLower yield than E. coliFunctional studies requiring proper folding
Insect cellsSuperior folding capabilities, more complex post-translational modificationsHigher cost, technical complexityStructural studies, enzymatic assays
Mammalian cellsNative-like post-translational modificationsHighest cost, lowest yieldImmunological studies, therapeutic development

When using bacterial systems, optimization of induction conditions (temperature, IPTG concentration) and inclusion of folding enhancers can significantly improve the yield of soluble, active enzyme. For functional studies requiring proper folding and post-translational modifications, eukaryotic expression systems may prove superior despite lower yields .

How should researchers design experiments to assess the enzymatic activity of Recombinant Neosartorya fumigata ctsD?

Designing robust enzymatic assays for Recombinant Neosartorya fumigata ctsD requires careful consideration of multiple experimental parameters. Implement a systematic approach that includes:

  • Buffer selection and pH optimization: As an aspartic protease, ctsD typically demonstrates optimal activity in acidic conditions (pH 3.0-5.5). Establish a pH profile using acetate or citrate buffers across a range of 2.5-7.0.

  • Substrate selection: Employ both synthetic peptide substrates with FRET (Fluorescence Resonance Energy Transfer) moieties and natural protein substrates to comprehensively characterize activity. Common synthetic substrates include those containing Phe-Phe bonds with flanking residues that enhance specificity.

  • Reaction monitoring: Utilize multiple detection methods to ensure robust data collection:

    • Continuous fluorometric assays for real-time kinetics

    • SDS-PAGE with densitometry for natural substrate degradation

    • LC-MS for identifying specific cleavage sites

  • Controls and validation: Include appropriate controls in experimental design:

    • Heat-inactivated enzyme (negative control)

    • Commercial aspartic proteases (positive control)

    • Specific aspartic protease inhibitors (e.g., pepstatin A) for confirmation of mechanism

These methodological approaches enable comprehensive characterization of enzymatic properties while adhering to experimental design principles that allow for statistical validation and reproducibility .

What are the key considerations when designing contradiction analysis studies for Recombinant Neosartorya fumigata ctsD function?

When investigating potentially contradictory findings regarding Recombinant Neosartorya fumigata ctsD function, researchers should implement a structured contradiction analysis framework following these methodological guidelines:

  • Systematic parameter identification: Document all experimental variables that could contribute to contradictory results, including:

    • Expression system differences

    • Purification methods

    • Buffer composition

    • Substrate variations

    • Detection methods

  • Cross-validation approach: Employ multiple orthogonal methods to assess enzyme function, as contradictions often arise from methodology-dependent artifacts. For example, complement activity assays with:

    • Direct enzymatic assays

    • Structural studies (CD spectroscopy, thermal stability)

    • Binding assays with known interaction partners

  • Statistical framework: Implement robust statistical methods specifically designed to identify and quantify contradictions in experimental data:

    • Apply correlation analysis between contradiction scores and experimental outcomes

    • Utilize selective confidence approaches that examine both the most confident 20% and 50% of data points to identify potential contradictions

    • Combine contradiction (C), entailment (E), and confidence scores (QA) for optimal interpretation of contradictory findings

  • Reporting standards: Document contradictions transparently in publications, following the GRADE approach for assessing certainty of evidence :

    • Categorize evidence quality as high, moderate, low, or very low

    • Assess evidence across domains including risk of bias, inconsistency, indirectness, imprecision, and publication bias

This methodological framework enables researchers to identify genuine biological phenomena versus technical artifacts when encountering seemingly contradictory results in ctsD functional studies .

What methodologies provide the most comprehensive structural characterization of Recombinant Neosartorya fumigata ctsD?

Comprehensive structural characterization of Recombinant Neosartorya fumigata ctsD requires a multi-technique approach that addresses different structural hierarchies:

  • Primary structure verification:

    • Implement LC-MS/MS peptide mapping with a minimum of 80% sequence coverage

    • Verify N-terminal sequencing to confirm proper processing

    • Use intact mass analysis to detect post-translational modifications

  • Secondary and tertiary structure analysis:

    • Circular dichroism (CD) spectroscopy for secondary structure composition estimation

    • Differential scanning calorimetry (DSC) to determine thermal stability and domain organization

    • Intrinsic fluorescence spectroscopy for tertiary structure assessment

  • High-resolution structure determination:

    • X-ray crystallography at ≤2.5Å resolution for atomic-level details, particularly of the catalytic site

    • Cryo-electron microscopy as an alternative approach for membrane-associated forms

    • NMR for solution dynamics studies of smaller domains

  • Computational approaches:

    • Homology modeling based on related aspartic proteases

    • Molecular dynamics simulations to predict conformational changes during catalysis

These methodologies should be applied comparatively to both the recombinant and (when available) native forms of the enzyme to assess structural equivalence, particularly focusing on the catalytic site configuration which is essential for proteolytic function.

How can researchers effectively investigate substrate specificity of Recombinant Neosartorya fumigata ctsD?

Investigating substrate specificity of Recombinant Neosartorya fumigata ctsD requires a systematic approach combining both targeted and untargeted methodologies:

MethodologyExperimental ApproachOutput Metrics
Positional scanning peptide librariesSynthetic combinatorial libraries with systematic amino acid substitutions at P4-P4' positionsCleavage efficiency at each position; heat map of preferred residues
Proteomics-based substrate discoveryIncubation with complex protein mixtures followed by N-terminomicsIdentification of novel natural substrates; cleavage site consensus
FRET-based kinetic analysisSystematic testing of fluorogenic substrates with varying sequenceskcat/Km values for comparative specificity assessment
Phage display peptide librariesSelection of high-affinity binding peptides from randomized librariesBinding motifs that may predict preferred substrates
Computational dockingIn silico modeling of substrate binding to ctsD active sitePrediction of steric and electronic factors in specificity

When implementing these approaches, researchers should:

  • Begin with broad specificity screening using peptide libraries or proteomics approaches

  • Progressively narrow focus to quantitative kinetic characterization of identified substrates

  • Validate in silico predictions with experimental binding and cleavage assays

  • Compare specificity profiles with other fungal aspartic proteases to identify unique features

This systematic workflow enables comprehensive mapping of substrate preferences across multiple positions flanking the cleavage site, facilitating understanding of both the biological function and potential applications of ctsD.

How can researchers design experiments to assess the role of Recombinant Neosartorya fumigata ctsD in fungal pathogenesis?

To investigate the role of Recombinant Neosartorya fumigata ctsD in pathogenesis, researchers should implement a multi-level experimental design that integrates molecular, cellular, and in vivo approaches:

  • Gene manipulation studies:

    • Generate ctsD knockout strains using CRISPR-Cas9 or traditional homologous recombination

    • Create point mutants targeting catalytic residues to distinguish enzymatic vs. structural roles

    • Develop conditional expression systems to study temporal requirements during infection

  • Host-pathogen interaction models:

    • Implement cell culture infection models using relevant cell types (e.g., alveolar epithelial cells, macrophages)

    • Quantify survival, adhesion, and invasion rates comparing wildtype and ctsD-modified strains

    • Analyze host immune response parameters (cytokine profiles, inflammasome activation)

  • In vivo pathogenesis models:

    • Utilize established murine models of invasive aspergillosis, using both immunocompetent and immunocompromised hosts

    • Conduct survival studies and fungal burden quantification in tissues

    • Implement quasi-experimental designs with appropriate controls to assess intervention effects

  • Mechanistic investigations:

    • Identify physiological substrates using proteomics approaches

    • Characterize effects on host defense mechanisms (complement, antimicrobial peptides)

    • Study potential roles in nutrient acquisition and stress response

These approaches should be implemented with appropriate experimental controls and statistical validation, following the principles of quasi-experimental design when randomization is not feasible .

What methodologies are most appropriate for evaluating potential inhibitors of Recombinant Neosartorya fumigata ctsD as therapeutic candidates?

Evaluation of potential inhibitors of Recombinant Neosartorya fumigata ctsD requires a systematic approach progressing from in vitro screening to advanced preclinical assessment:

  • Initial inhibitor screening:

    • Implement high-throughput enzymatic assays with fluorogenic substrates

    • Utilize thermal shift assays to identify binding compounds

    • Screen diverse chemical libraries (natural products, synthetic compounds)

    • Calculate IC50 values and establish preliminary structure-activity relationships

  • Mechanistic characterization:

    • Determine inhibition mechanisms (competitive, non-competitive, uncompetitive)

    • Calculate Ki values under standardized conditions

    • Assess time-dependence and reversibility of inhibition

    • Conduct structural studies (X-ray crystallography, in silico docking) to verify binding modes

  • Selectivity profiling:

    • Test activity against human aspartic proteases (cathepsins D, E; BACE; renin)

    • Assess activity against other fungal proteases

    • Create selectivity indices to quantify therapeutic windows

  • Cellular and ex vivo evaluation:

    • Determine cellular permeability and target engagement

    • Assess effects on fungal growth and virulence factor expression

    • Evaluate toxicity profiles using relevant human cell lines

    • Implement ex vivo infection models to assess efficacy

  • Resistance potential assessment:

    • Conduct serial passage experiments to evaluate resistance development

    • Create site-directed mutants based on predicted resistance mechanisms

    • Test cross-resistance with existing antifungals

This systematic workflow enables comprehensive evaluation of inhibitor candidates while adhering to established methodological frameworks for evidence assessment in therapeutic development .

How can researchers effectively integrate contradictory findings in Recombinant Neosartorya fumigata ctsD research within a systematic review framework?

Integrating contradictory findings in Recombinant Neosartorya fumigata ctsD research requires a structured approach to evidence synthesis that can systematically identify, evaluate, and reconcile discrepancies:

This methodological approach allows researchers to transform apparent contradictions into opportunities for deeper understanding of ctsD biology, potentially revealing context-dependent functions or regulatory mechanisms .

What are the methodological considerations for investigating the role of Recombinant Neosartorya fumigata ctsD in host immune response modulation?

Investigating Recombinant Neosartorya fumigata ctsD's role in immune modulation requires sophisticated experimental designs that capture the complexity of host-pathogen interactions:

  • Immune cell interaction studies:

    • Utilize purified recombinant ctsD in concentration-dependent exposure experiments with key immune cell populations (dendritic cells, macrophages, neutrophils)

    • Implement flow cytometry panels to assess changes in activation markers, maturation states, and viability

    • Measure cytokine/chemokine production using multiplexed assays to create comprehensive immune response profiles

    • Compare wildtype and catalytically inactive ctsD to distinguish enzymatic from structural effects

  • Antigen processing and presentation analysis:

    • Investigate ctsD's potential role in modifying fungal antigens or host MHC molecules

    • Employ mass spectrometry-based immunopeptidomics to identify altered epitope presentation

    • Assess T cell activation using reporter cell lines or primary T cell cultures

  • Signaling pathway investigation:

    • Implement phosphoproteomic analysis to identify altered signaling cascades in immune cells

    • Validate pathway involvement using specific inhibitors and genetic approaches (siRNA, CRISPR)

    • Construct comprehensive pathway models integrating transcriptomic and proteomic data

  • Advanced in vivo approaches:

    • Utilize mouse models with specific immune deficiencies to identify critical immune components

    • Implement adoptive transfer experiments to isolate cell-specific effects

    • Consider implementation of humanized mouse models for translational relevance

These methodological approaches should be implemented within experimental designs that allow for appropriate statistical validation, including consideration of potential contradictory outcomes using established frameworks for evidence assessment .

What are the critical quality control parameters for ensuring consistent preparation of functional Recombinant Neosartorya fumigata ctsD?

Ensuring consistent preparation of functional Recombinant Neosartorya fumigata ctsD requires rigorous quality control parameters at each production stage:

Production StageCritical ParametersAnalytical MethodsAcceptance Criteria
Gene construct designCodon optimization, tag position, cleavage sitesSequence verification, in silico analysis100% sequence identity, optimal codon adaptation index
ExpressionInduction conditions, growth temperature, harvest timingSDS-PAGE, Western blot, growth curvesConsistent band intensity, reproducible yield
PurificationColumn selection, buffer composition, elution conditionsHPLC, SDS-PAGE, protein quantification≥90% purity by SDS-PAGE, reproducible yield
Functional verificationEnzymatic activity, structural integrityActivity assays, CD spectroscopy, thermal stabilityActivity within 20% of reference standard, consistent secondary structure
Storage stabilityBuffer composition, storage temperature, freeze-thaw cyclesTime-course activity testing, aggregation analysis<10% activity loss over defined storage period

Implementation strategies should include:

  • Establishing a reference standard from a well-characterized batch

  • Developing a comprehensive Certificate of Analysis template documenting all quality parameters

  • Implementing statistical process control methods to monitor batch-to-batch variation

  • Validating critical reagents and consumables from different suppliers/lots

This systematic approach ensures that experimental outcomes reflect genuine biological phenomena rather than technical variability in protein preparation .

How should researchers address challenges in experimental reproducibility when studying Recombinant Neosartorya fumigata ctsD functions?

Addressing reproducibility challenges in Recombinant Neosartorya fumigata ctsD research requires implementation of systematic approaches that address both technical and biological variability:

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