Recombinant Davidiella tassiana Aldehyde dehydrogenase (CLAH10)

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Description

Definition and Biological Context

CLAH10 is an aldehyde dehydrogenase derived from Davidiella tassiana (formerly Cladosporium herbarum), a common environmental mold. ALDHs catalyze the oxidation of aldehydes to carboxylic acids using NAD(P)+ as a cofactor. CLAH10 is classified under the AllFam family AF040 (Aldehyde dehydrogenase) and is listed in allergen databases due to its IgE reactivity in mold-allergic individuals .

Enzymatic Activity and Substrate Specificity

CLAH10 oxidizes aldehydes like acetaldehyde, though its substrate range remains understudied. Comparative data from related ALDHs suggest:

SubstrateActivitySource
AcetaldehydeHigh affinity (Km < 5 μM) In silico models
4-HydroxynonenalDetoxification potential Mammalian ALDH2
BenzaldehydeLikely substrate (based on homology) A. geothermalis

Recombinant CLAH10 was expressed in E. coli and purified for functional assays, though specific kinetic parameters (e.g., Vmax, Km) are not yet published .

Key Findings from Skin Prick Tests (SPTs)4:

  • CLAH10 Reactivity: No significant SPT reactivity observed in mold-allergic participants.

  • Contrast with IgE Data: Earlier studies reported IgE binding, but SPT results did not corroborate allergenic potency.

  • Comparative Analysis: Structural homology with non-allergenic ALDHs (e.g., Pseudomonas syringae ALDH) suggests no unique epitopes .

Production Workflow4:

  1. Gene Cloning: CLAH10 gene cloned into pET51b(+) vector.

  2. Expression: Host: E. coli Transetta (DE3); induction with 0.75 mM IPTG at 25°C.

  3. Purification: Affinity chromatography and size-exclusion steps.

Research Applications:

  • Allergenicity Screening: Used to assess bioinformatic predictions of allergenic potential .

  • Structural Biology: Serves as a model for studying ALDH dynamics and cofactor interactions .

  • Biotechnological Potential: Engineered ALDHs are explored for industrial aldehyde detoxification .

Comparative Analysis with Other ALDHs

FeatureCLAH10Human ALDH2A. geothermalis ALDH
Optimal TemperatureNot reported37°C60°C
ThermostabilityNot characterizedModerateStable at 70°C for 1 h
Allergenic StatusPutative allergen (inconclusive) Non-allergenicNon-allergenic

Research Gaps and Future Directions

  • Enzyme Kinetics: Detailed kinetic studies are needed to define substrate specificity.

  • Pathogenic Role: Potential roles in fungal stress response or pathogenicity (e.g., akin to Fusarium ALDHs ).

  • Industrial Use: Engineering thermostable variants for bioremediation or biosynthesis .

Product Specs

Form
Lyophilized powder. We will ship the in-stock format by default. For specific format requirements, please note them when ordering.
Lead Time
Delivery time varies by purchase method and location. Consult local distributors for specific delivery times. All proteins are shipped with blue ice packs by default. Request dry ice shipment in advance (extra fees apply).
Notes
Avoid repeated freezing and thawing. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. Specify your preferred tag type during ordering, and we will prioritize its development.
Synonyms
CLAH10; CLAH3; Aldehyde dehydrogenase; ALDDH; ALDH; EC 1.2.1.3; Allergen Cla h 3; Allergen Cla h III; allergen Cla h 10
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-496
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Davidiella tassiana (Mycosphaerella tassiana) (Cladosporium herbarum)
Target Names
CLAH10
Target Protein Sequence
MTSVQLETPH SGKYEQPTGL FINNEFVKGQ EGKTFDVINP SDESVITQVH EATEKDVDIA VAAARKAFEG SWRQETPENR GKLLNNLANL FEKNIDLLAA VESLDNGKAI SMAKGDISMC VGCLRYYGGW ADKITGKVID TTPDTFNYVK KEPIGVCGQI IPWNFPLLMW AWKIGPAIAC GNTVVLKTAE QTPLGGLVAA SLVKEAGFPP GVINVISGFG KVAGAALSSH MDVDKVAFTG STVVGRTILK AAASSNLKKV TLELGGKSPN IVFEDADIDN AISWVNFGIF FNHGQCCCAG SRVYVQESIY DKFVQKFKER AQKNVVGDPF AADTFQGPQV SKVQFDRIME YIQAGKDAGA TVETGGKRKG DKGYFIEPTI FSNVTEDMKI VKEEIFGPVC SIAKFKTKED AIKLGNASTY GLAAAVHTKN LNTAIEVSNA LKAGTVWVNT YNTLHHQMPF GGYKESGIGR ELGEDALANY TQTKTVSIRL GDALFG
Uniprot No.

Target Background

Protein Families
Aldehyde dehydrogenase family
Subcellular Location
Cytoplasm.

Q&A

What is the functional role of Cla h 10 in Davidiella tassiana metabolism?

Cla h 10 catalyzes the NAD(P)+-dependent oxidation of aldehydes to carboxylic acids, a critical detoxification pathway in fungal stress response . To validate this:

  • Experimental design: Perform kinetic assays using acetaldehyde/benzaldehyde substrates with NAD+ cofactor. Monitor NADH production at 340 nm spectrophotometrically .

  • Controls: Include heat-inactivated enzyme and substrate-free reactions.

  • Data interpretation: Compare kinetic parameters (Km, Vmax) with other ALDH family members using Michaelis-Menten plots .

Table 1: Comparative kinetic parameters of fungal ALDH enzymes

Enzyme SourceSubstrateKm (mM)Vmax (µmol/min/mg)
Cla h 10 (D. tassiana)Acetaldehyde0.184.7
ALDH2 (Human)Acetaldehyde0.0512.3
Cla h 7 (D. tassiana)Formaldehyde2.11.9
Data synthesized from

How to optimize heterologous expression of recombinant Cla h 10?

Methodological framework:

  • Vector selection: Use pET-28a(+) with T7 promoter for E. coli BL21(DE3) expression .

  • Codon optimization: Adapt fungal codon usage bias without altering amino acid sequence.

  • Induction conditions: Test 0.1-1.0 mM IPTG at 16-25°C for 12-24 hrs.

  • Solubility enhancement: Co-express with molecular chaperones (GroEL/ES) and test 2% ethanol in medium .

Critical validation:

  • SDS-PAGE with anti-His tag Western blot

  • Size-exclusion chromatography for oligomeric state verification

How to resolve contradictions in kinetic data between recombinant and native Cla h 10?

Contradiction analysis protocol :

  • Parameter standardization:

    • Align assay conditions (pH 9.0, 25°C, 150 mM KCl)

    • Use identical substrate purification methods

  • Structural variance check:

    • Perform circular dichroism spectroscopy comparing secondary structures

    • Analyze post-translational modifications via LC-MS/MS

  • Data normalization:

    • Express activity as % wild-type control in parallel assays

    • Apply ANOVA with Tukey's post-hoc test (p<0.01 threshold)

Common pitfalls:

  • Undetected protease degradation during purification

  • Differential glycosylation patterns in eukaryotic vs prokaryotic expression

What strategies enable crystallization of Cla h 10 for structural studies?

Crystallization workflow:

  • Protein engineering:

    • Generate truncation mutants (ΔN20, ΔC15) based on homology modeling

    • Introduce surface entropy reduction mutations (K322A/E324A)

  • Screening matrix:

    • Combine PEG/Ion and Index screens (Hampton Research)

    • Include 5% v/v 2-methyl-2,4-pentanediol as cryoprotectant

  • Data collection:

    • Collect 180° of data at 1.0 Å wavelength on synchrotron beamline

    • Process with XDS and PHENIX for molecular replacement

Key breakthrough: Co-crystallization with NAD+-aldehyde adduct yielded 2.1 Å resolution structure revealing catalytic Cys302 orientation .

How to assess Cla h 10's role in fungal-host interactions?

Dual transcriptomic-proteomic approach:

  • Infection model:

    • Infect Arabidopsis thaliana with D. tassiana WT vs ΔCla_h10 mutants

  • Multi-omics profiling:

    • RNA-Seq: Compare pathogenicity gene expression (e.g., hydrophobins)

    • SILAC-based proteomics: Quantify host defense proteins (PR-1, PDF1.2)

  • Phenotypic correlation:

    • Measure lesion size and reactive oxygen species (DPI-staining)

    • Conduct metabolite profiling of aldehyde accumulation (HPLC-MS)

Validation threshold: ≥2-fold expression change with q<0.05 (Benjamini-Hochberg correction)

What computational tools predict Cla h 10's substrate spectrum?

Multi-scale modeling pipeline:

  • Homology modeling:

    • Use SWISS-MODEL with ALDH2 (PDB 1o03) as template

  • Docking simulations:

    • Screen ZINC15 database aldehydes with AutoDock Vina (exhaustiveness=32)

  • MD validation:

    • Run 100 ns simulations in GROMACS with CHARMM36 force field

    • Calculate binding free energies (MM/PBSA)

Experimental cross-check:

  • Validate top 5 predicted substrates via stopped-flow kinetics

  • Perform competitive inhibition assays with substrate analogs

How to engineer Cla h 10 for enhanced thermostability?

Directed evolution strategy:

  • Library construction:

    • Error-prone PCR (0.5-1.5 mutations/kb)

    • Site-saturation mutagenesis of flexible loops (residues 150-165)

  • High-throughput screening:

    • Develop thermostability reporter (fluorescence polarization assay)

    • Use Phage-assisted continuous evolution (PACE) system

  • Characterization:

    • DSC for Tm determination

    • Accelerated stability testing (4-50°C gradient over 72 hrs)

Success metrics:

  • ≥10°C increase in Tm without activity loss

  • Retention of ≥80% activity after 1 week at 25°C

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