Recombinant Ephedra distachya Unknown protein 3

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Description

Identification of Ephedra distachya Unknown Protein 1

The only documented recombinant protein from Ephedra distachya is designated "Unknown protein 1" (UniProt: P85493). Two variants exist:

ParameterMammalian Cell Expression E. coli Expression
Product CodeCSB-MP307753EEOCSB-EP307753EEO
SourceMammalian cellsE. coli
SequenceNPVLPCPVGS LYKNPVLPCPVGS LYK
Expression Region1-131-13
Purity>85% (SDS-PAGE)>85% (SDS-PAGE)
Reconstitution0.1–1.0 mg/mL in water + glycerolIdentical to mammalian
Storage-20°C/-80°C-20°C/-80°C

This protein lacks functional characterization, and its role in Ephedra distachya remains unstudied. The designation "Unknown" reflects its unresolved biological significance .

Contextual Research on Ephedra Proteins

While Unknown protein 3 remains undocumented, other Ephedra proteins and enzymes have been characterized:

Key Enzymes in Ephedra Alkaloid Biosynthesis

  • N-Methyltransferases (NMTs): Critical for converting norephedrine to ephedrine. Patents describe NMTs from Ephedra sinica (SEQ ID NO: 3, 5, 7, 9) expressed in E. coli for industrial ephedrine production .

  • α-Oxoamine Synthase (OAS): Detected in Ephedra stem lysates, catalyzing (S)-cathinone formation during alkaloid biosynthesis .

Chromatographic Profiling

  • UPLC-UV: Used to quantify ephedrine (E) and pseudoephedrine (PE) in Ephedra species, achieving a detection limit of 5 ng .

  • HPLC-MS/MS: Identified methylcathinone and dimethylcathinone as potential intermediates in Ephedra alkaloid pathways .

Hypothetical Considerations for Unknown Protein 3

Given the absence of data on "Unknown protein 3," potential scenarios include:

  • Terminology Conflict: Mislabeling or variant nomenclature (e.g., "protein 1" vs. "protein 3").

  • Undiscovered Isoform: Novel isoforms may exist but remain unsequenced or unpublished.

  • Proprietary Research: Commercial entities like Cusabio or KACTUS Bio may hold unpublished data on additional recombinant proteins.

Research Gaps and Recommendations

  1. Functional Studies: Prioritize heterologous expression and enzymatic assays for Unknown protein 1 to clarify its role.

  2. Genomic Mining: Reanalyze Ephedra distachya transcriptomes for unannotated open reading frames (ORFs).

  3. Industrial Collaboration: Engage biotech firms (e.g., Cusabio, KACTUS Bio) to access proprietary protein databases.

Product Specs

Form
Lyophilized powder. We will ship the available format, but you can specify your preference when ordering.
Lead Time
Delivery times vary. Consult your local distributor for specifics. Proteins are shipped with blue ice packs. Request dry ice in advance (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Working aliquots are stable 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 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. If you have a specific tag preference, please inform us.
Synonyms
; Unknown protein 3; Fragment
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-14
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Ephedra distachya (Joint-fir) (Ephedra vulgaris)
Target Protein Sequence
GADPGCQDVV TPVQ
Uniprot No.

Target Background

Subcellular Location
Secreted, cell wall.

Q&A

What is Ephedra distachya and how does it relate to other Ephedra species?

Ephedra distachya (Joint pine) is a gymnosperm species belonging to the Gnetales order. It has been examined alongside other gymnosperms like Ginkgo biloba and Pseudotsuga menziesii for YABBY gene expression patterns . While less extensively studied than Ephedra sinica, E. distachya represents an important evolutionary model within gymnosperms. The genus Ephedra includes multiple species with distinct genetic profiles, allowing for comparative genomic analysis. When working with proteins from E. distachya, researchers should consider interspecies variations that may impact protein structure, function, and expression patterns compared to better-characterized Ephedra species.

What expression systems are most suitable for recombinant Ephedra proteins?

The optimal expression system depends on specific protein characteristics. For Ephedra proteins requiring post-translational modifications, mammalian systems like HEK293 cells provide sophisticated processing capabilities, as demonstrated with other complex recombinant proteins . Alternative expression systems include:

Expression SystemAdvantagesLimitationsBest Applications
E. coliRapid growth, high yields, cost-effectiveLimited post-translational modificationsSmall, non-glycosylated proteins
Yeast (P. pastoris)Eukaryotic processing, high expressionDifferent glycosylation patternsSecreted proteins with simple modifications
Insect cellsComplex processing, proper foldingTime-consuming, expensiveMulti-domain proteins requiring correct folding
Plant-based systemsNative-like modificationsLower yields, longer timelinePlant-specific proteins with unique modifications

For initial characterization studies, testing multiple expression systems in parallel is recommended to identify optimal conditions for functional protein production.

What analytical techniques should be employed for initial characterization?

A systematic approach to characterizing Unknown protein 3 should include:

  • Mass spectrometry for accurate molecular weight determination and peptide mapping

  • Circular dichroism spectroscopy for secondary structure analysis

  • Size exclusion chromatography to assess oligomeric state

  • Differential scanning fluorimetry to determine thermal stability

  • Dynamic light scattering to evaluate homogeneity

Researchers should be aware that plant proteins often exhibit post-translational modifications that affect electrophoretic mobility. For example, glycosylation can cause significant migration differences in PAGE analysis, potentially resulting in apparent molecular weights higher than predicted from the amino acid sequence alone .

How can transcriptome profiling approaches identify novel proteins in Ephedra species?

Transcriptome profiling has proven valuable for identifying novel proteins in related Ephedra species. Research on Ephedra sinica employed Illumina next-generation sequencing with Trinity and Velvet-Oases assembly platforms to establish comprehensive sequence libraries of approximately 200,000 unigenes . For E. distachya Unknown protein 3 research, similar approaches offer multiple advantages:

  • Provide complete coding sequences for recombinant expression

  • Identify tissue-specific expression patterns guiding protein isolation

  • Reveal co-expressed genes suggesting functional relationships

  • Enable comparative analysis with related species

Methodology should include:

  • RNA extraction from multiple tissues and developmental stages

  • Construction of normalized cDNA libraries

  • High-throughput sequencing (preferably paired-end)

  • De novo assembly using multiple algorithms

  • Annotation pipeline incorporating GO terms and pathway analysis

  • Validation of novel transcripts by RT-PCR

This approach enables discovery of previously uncharacterized proteins and provides context for understanding their biological roles.

What structural prediction approaches can generate functional hypotheses for uncharacterized proteins?

Structure-function prediction for Unknown protein 3 should incorporate multiple computational approaches:

  • Homology modeling using AlphaFold2 or SWISS-MODEL with templates from related species

  • Ab initio modeling for regions without homologous structures

  • Molecular dynamics simulations to assess structural stability

  • Active site prediction using COACH or similar tools

  • Molecular docking with potential substrates or ligands

Analysis of Ephedra species has revealed complex polysaccharide structures like arabinans with specific branching patterns . If sequence analysis suggests carbohydrate-binding domains, molecular docking studies similar to those used in Ephedra herb analysis can identify potential binding partners. These predictions generate testable hypotheses about protein function that guide experimental design.

How do protein-protein interaction networks inform functional studies of novel proteins?

Network pharmacology approaches, as applied to Ephedra herb components , provide valuable insights into protein function. For Unknown protein 3, researchers should:

  • Construct protein-protein interaction (PPI) networks using:

    • Computational predictions based on sequence and structural features

    • Co-expression data from transcriptome studies

    • Yeast two-hybrid or pull-down assays to validate interactions

  • Analyze network properties through:

    • Centrality measures to identify hub positions

    • Clustering to identify functional modules

    • GO and KEGG pathway enrichment using tools like ClueGO in Cytoscape

Analysis ApproachOutputBiological Insight
Degree centralityInteraction frequencyFunctional importance
Betweenness centralityNetwork positionPathway regulation role
Clustering coefficientInteraction densityComplex formation
GO enrichmentOverrepresented termsBiological processes
KEGG mappingPathway involvementMetabolic role

This systems biology approach contextualizes the protein within cellular pathways, generating hypotheses about its role in plant metabolism or signaling networks.

What purification strategy yields optimal purity and activity for recombinant Ephedra proteins?

A comprehensive purification strategy for Unknown protein 3 should include:

  • Affinity chromatography using histidine or other fusion tags

  • Intermediate purification via ion exchange chromatography

  • Polishing step using size exclusion chromatography

Quality assessment should target >95% purity as determined by multiple methods (e.g., SDS-PAGE and HPLC) . Throughout purification, monitor:

  • Protein solubility in different buffer conditions

  • Enzymatic activity or binding capacity if assays are available

  • Oligomeric state by native PAGE or analytical SEC

  • Endotoxin levels (<1EU per μg) for downstream applications

For optimal storage stability, consider:

  • Lyophilization with trehalose (8%) as a protectant

  • Flash-freezing in small aliquots to prevent freeze-thaw damage

  • Storage at -80°C for maximum shelf-life

Formulation development should evaluate multiple buffer compositions, pH ranges, and stabilizing additives to maintain structural integrity and functional activity.

How should experiments be designed to validate predicted functions of Unknown protein 3?

Functional validation requires a systematic approach:

  • In silico prediction phase:

    • Sequence homology analysis with characterized proteins

    • Structural prediction and active site identification

    • Domain architecture analysis

  • Biochemical characterization:

    • Substrate screening based on predicted function

    • Binding assays with potential ligands

    • Enzymatic activity measurements if catalytic function is predicted

  • Cellular function analysis:

    • Subcellular localization studies using fluorescent protein fusions

    • Expression pattern analysis across tissues and conditions

    • Co-expression studies with functionally related proteins

  • In planta validation:

    • Heterologous expression in model plants

    • Phenotypic analysis of overexpression/knockout lines

    • Metabolomic analysis to identify affected pathways

All experiments should include appropriate positive and negative controls, with multiple complementary approaches to establish function. If structural predictions suggest involvement in specialized metabolism, particularly in pathways similar to those characterized in E. sinica , targeted metabolite analysis should be incorporated in validation studies.

What methods can distinguish between direct and indirect effects in functional studies?

Distinguishing direct from indirect effects requires specific experimental designs:

  • For enzymatic functions:

    • Purified protein assays with defined substrates

    • Enzyme kinetics (Km, Vmax, kcat) determination

    • Site-directed mutagenesis of predicted catalytic residues

    • Isothermal titration calorimetry for direct binding measurement

  • For regulatory functions:

    • Electrophoretic mobility shift assays for DNA/RNA binding

    • Surface plasmon resonance for interaction kinetics

    • ChIP-seq for in vivo DNA binding profiles

    • Protein-fragment complementation assays for direct interactions

  • For structural roles:

    • In vitro reconstitution of complexes with purified components

    • Cross-linking mass spectrometry to map interaction interfaces

    • FRET/BRET analysis for proximity verification in living cells

These approaches provide direct evidence of molecular interactions, distinguishing primary functions from downstream effects and establishing mechanistic understanding of the protein's biological role.

How can expression challenges with recombinant gymnosperm proteins be resolved?

Expression of gymnosperm proteins frequently encounters challenges requiring systematic troubleshooting:

ChallengePotential SolutionsValidation Approach
Codon biasSynthesize codon-optimized gene; use Rosetta strainsWestern blot of test expressions
Inclusion body formationLower induction temperature (16-20°C); use solubility tagsAnalyze soluble vs. insoluble fractions
Protein toxicityUse tightly regulated promoters; reduce expression levelGrowth curve analysis with controls
Proteolytic degradationAdd protease inhibitors; reduce expression timeTime-course sampling and analysis
Improper foldingCo-express chaperones; use periplasmic expressionActivity assays of expressed protein
Post-translational modification requirementsSwitch to eukaryotic systems (HEK293) Mass spectrometry analysis

For each optimization, implement small-scale test expressions before scaling up. If bacterial expression proves unsuitable despite optimization, consider alternative systems based on protein characteristics and downstream applications.

What strategies address purification issues with proteins exhibiting unusual physicochemical properties?

Novel proteins with unusual properties require adaptive purification strategies:

  • For poor affinity tag binding:

    • Verify tag accessibility through Western blotting

    • Test alternative tag positions (N-terminal vs. C-terminal)

    • Optimize binding conditions (pH, salt concentration, reducing agents)

    • Consider alternative purification approaches (ion exchange, hydroxyapatite)

  • For aggregation-prone proteins:

    • Screen stabilizing additives (glycerol, arginine, sucrose)

    • Incorporate mild detergents (0.01-0.05% Tween-20 or Triton X-100)

    • Test reducing agents to prevent disulfide-mediated aggregation

    • Consider on-column refolding approaches

  • For proteins with unusual chromatographic behavior:

    • Develop custom gradient elution protocols

    • Screen multiple column chemistries and buffer conditions

    • Implement high-throughput buffer screening using dynamic light scattering

    • Consider orthogonal purification techniques

Each purification step should be monitored by activity assays (if available) in addition to purity assessment to ensure both structural and functional integrity are maintained.

How can structural characterization proceed when conventional crystallography fails?

When crystallization proves challenging, alternative structural biology approaches should be considered:

For Ephedra proteins with complex polysaccharide interactions , integrative structural biology combining multiple low-resolution techniques with computational modeling often provides the most comprehensive structural information.

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