Recombinant Full Length Pyrococcus horikoshii Uncharacterized protein PH2001 (PH2001) Protein (O57781) is a protein that consists of 147 amino acids (1-147aa) fused to an N-terminal His tag and expressed in E. coli .
Pyrococcus horikoshii OT3 is a hyperthermophilic archaeon . The genome of P. horikoshii was sequenced to understand its molecular mechanisms and unique characteristics that allow it to thrive in high-temperature environments .
PH1704 Protease The PH1704 protease from Pyrococcus horikoshii OT3 belongs to the DJ-1/ThiJ/PfpI superfamily and has diverse functional subclasses . The recombinant PH1704 protease was purified and characterized through substrate specificity analysis, steady-state kinetics, and molecular docking . The enzyme was identified as both an aminopeptidase and an endopeptidase, with L-R-amc being its best substrate .
Coenzyme A Disulfide Reductase (CoADR) A CoADR was cloned from Pyrococcus horikoshii, and its recombinant form was purified from Escherichia coli . This enzyme, previously referred to as NOX2, acts as a coenzyme A disulfide reductase (CoADR) .
PCNA Homolog A PCNA homolog from Pyrococcus furiosus (PfuPCNA) was cloned and characterized, demonstrating its interaction with Pol I and Pol II . The PCR primers were based on a DNA sequence encoding a PCNA homolog found from the total genome sequence of Pyrococcus horikoshii .
KEGG: pho:PH2001
PH2001 is an uncharacterized protein from the hyperthermophilic archaeon Pyrococcus horikoshii (strain ATCC 700860/DSM 12428/JCM 9974/NBRC 100139/OT-3). The full-length protein consists of 147 amino acids with the sequence: MLVIVGGTTTGILFLGPRYLPRYLPILGINGASAMKKSYFLANFLACLGLLAISSSSALLITSSPSLLAASATAPSAMTAIFTSFPLPWGSTTSSLNLFSGRLRSISLRFTATSTLCVKLRGLARALASFTASTIFCLSKAILDIPP . The protein has a UniProt ID of O57781 and is categorized as a hypothetical protein, meaning its function has been predicted from an open reading frame but has not been experimentally verified .
For optimal preservation of recombinant PH2001 protein:
Storage recommendations:
Store the lyophilized powder at -20°C to -80°C upon receipt
Aliquoting is necessary for multiple use to avoid repeated freeze-thaw cycles
Working aliquots can be stored at 4°C for up to one week
Use Tris/PBS-based buffer with 6% Trehalose, pH 8.0 as storage buffer
Reconstitution protocol:
Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitute protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (recommended default: 50%)
Uncharacterized proteins like PH2001 represent significant research opportunities for several reasons:
Genomic completeness: Hypothetical proteins constitute a substantial fraction of proteomes in both prokaryotes and eukaryotes, making up a significant portion of the genetic material in sequenced organisms .
Novel function discovery: These proteins may possess entirely new functions, enzymatic activities, or structural motifs not previously described in biology .
Evolutionary insights: Studying conserved hypothetical proteins across species can provide insights into evolutionary relationships and protein family emergence.
Therapeutic potential: Identification of new structures and functions can serve as markers and pharmacological targets for drug design, discovery, and screening, particularly from extremophiles like P. horikoshii that produce stable proteins .
Industrial applications: Proteins from hyperthermophiles often possess exceptional stability and unique enzymatic properties valuable for biotechnological applications.
When designing experiments to characterize PH2001 or similar uncharacterized proteins, consider this methodological framework:
Perform sequence similarity searches (BLAST, HMM profiles)
Identify conserved domains and motifs
Conduct phylogenetic analysis to identify orthologs
Use structure prediction tools (AlphaFold, RoseTTAFold)
Employ gene neighborhood analysis to identify functional associations
Design experiments based on predicted functions
Use multiple complementary approaches:
| Approach | Methodology | Expected Outcome |
|---|---|---|
| Biochemical | Substrate screening, enzyme assays | Identification of enzymatic activity |
| Structural | X-ray crystallography, cryo-EM, NMR | 3D structure determination |
| Genetic | Gene knockout/knockdown, complementation | In vivo function validation |
| Interactomics | Co-IP, pull-down assays, Y2H | Identification of protein partners |
| Localization | GFP fusion, immunofluorescence | Cellular localization |
Combine bioinformatic predictions with experimental results
Develop testable hypotheses for further validation
Working with proteins from hyperthermophiles like P. horikoshii presents unique challenges that require specialized approaches:
Temperature optimization:
Standard assay temperatures (25-37°C) may not reveal the protein's natural activity
Design assays at multiple temperatures (37°C, 60°C, 80°C, 100°C)
Ensure substrate stability at high temperatures
Buffer considerations:
Use buffers with high thermal stability (e.g., phosphate rather than Tris)
Account for pH shifts with temperature changes
Consider higher salt concentrations that mimic native environments
Stability vs. activity trade-offs:
Expression in mesophilic hosts (E. coli) may yield properly folded but inactive protein
The protein may require extremely high temperatures for proper folding
Equipment limitations:
Standard lab equipment may not accommodate high-temperature reactions
Consider specialized high-temperature incubators, heat blocks, and thermocyclers
Experimental design modifications:
Include appropriate controls (other thermostable proteins)
Design time-course experiments to account for different reaction kinetics at high temperatures
Consider specialized equipment for hyperthermophilic assays
Optimizing the expression and purification of thermophilic proteins in mesophilic hosts requires careful consideration:
Expression optimization:
| Strategy | Implementation | Rationale |
|---|---|---|
| Codon optimization | Adapt codons to E. coli preference | Improve translation efficiency |
| Fusion tags | Use solubility-enhancing tags (MBP, SUMO) | Increase soluble expression |
| Host strain selection | BL21(DE3), Rosetta, or C41/C43 | Provide rare tRNAs or handle toxic proteins |
| Temperature modulation | Express at lower temperatures (16-20°C) | Slow down protein production to allow proper folding |
| Induction optimization | Test different IPTG concentrations and induction times | Identify conditions that maximize soluble protein yield |
Purification strategy:
Initial capture: Utilize His-tag affinity purification with Ni-NTA resin
Heat treatment: Exploit thermostability by heating cell lysate (70-80°C for 15-30 min) to precipitate E. coli proteins
Secondary purification: Use ion exchange chromatography based on theoretical pI
Polishing step: Size exclusion chromatography to achieve high purity
Quality control: Verify purity by SDS-PAGE (>90% purity) and assess activity using pilot assays
A comprehensive approach to predicting PH2001 function should combine multiple computational and experimental methods:
Sequence-based analysis:
Sequence similarity searches against characterized proteins
Identification of conserved domains and motifs
Genomic context analysis (gene neighborhoods)
Phylogenetic profiling to identify co-occurrence patterns
Structure-based analysis:
Structure prediction using AlphaFold2 or similar tools
Structural similarity searches against PDB database
Active site prediction and substrate docking
Molecular dynamics simulations to assess flexibility and potential binding interfaces
Integrative analysis:
Combine sequence and structural predictions
Cross-reference with experimental data from similar proteins
Develop multiple hypotheses for potential functions
Assessing proper folding of recombinant PH2001 requires multiple complementary approaches:
Biophysical characterization methods:
| Method | Information Obtained | Technical Considerations |
|---|---|---|
| Circular Dichroism (CD) | Secondary structure content | Requires 0.1-0.5 mg/ml protein; high salt buffers may interfere |
| Fluorescence Spectroscopy | Tertiary structure environment of tryptophans | Requires tryptophan residues in the sequence |
| Differential Scanning Calorimetry (DSC) | Thermal stability and folding transitions | Can confirm hyperthermophilic properties |
| Size Exclusion Chromatography (SEC) | Oligomeric state and hydrodynamic radius | Useful for detecting aggregation |
| Dynamic Light Scattering (DLS) | Size distribution and potential aggregation | Sensitive to dust and large aggregates |
| Limited Proteolysis | Accessibility of cleavage sites | Well-folded proteins show resistance to proteases |
Thermal stability assessment:
Given PH2001's origin from a hyperthermophile, properly folded protein should demonstrate exceptional thermal stability:
Monitor activity or structural parameters at increasing temperatures
Perform thermal shift assays to determine melting temperature
Compare stability to known thermostable proteins as positive controls
Mass spectrometry (MS) offers powerful tools for characterizing uncharacterized proteins through several complementary approaches:
Protein identification and validation:
Peptide mass fingerprinting to confirm protein identity
Bottom-up proteomics with LC-MS/MS to verify sequence coverage
Top-down proteomics to detect post-translational modifications
Structural characterization:
Hydrogen-deuterium exchange MS (HDX-MS) to probe structural dynamics
Cross-linking MS to identify spatial relationships between residues
Native MS to determine oligomeric state and complex formation
Functional analysis:
Activity-based protein profiling to identify enzymatic functions
Ligand binding studies using MS to detect substrate interactions
Protein-protein interaction analysis through affinity purification-MS
Sample preparation considerations for thermophilic proteins:
Use higher denaturation temperatures for complete unfolding
Consider specialized proteases stable at higher temperatures
Incorporate appropriate controls for temperature-dependent modifications
Properly structured data tables are essential for capturing, analyzing, and communicating research findings. For PH2001 studies, consider the following framework:
General principles for data table design:
Identify independent and dependent variables clearly
Use consistent units and formatting throughout
Include all relevant experimental conditions
Provide statistical measures (mean, standard deviation, etc.)
Use clear, informative headers and labels15
Example data table structure for thermal stability analysis:
| Temperature (°C) | Relative Activity (%) | Remaining Structure (CD signal %) | Standard Deviation (n=3) |
|---|---|---|---|
| 25 | 15.3 | 97.8 | ±2.1 |
| 50 | 42.7 | 98.2 | ±3.4 |
| 75 | 78.4 | 96.5 | ±2.8 |
| 100 | 100.0 | 93.1 | ±4.2 |
| 125 | 89.3 | 68.7 | ±5.7 |
Documentation considerations:
Include detailed experimental conditions in table footnotes
Reference specific methodologies used for measurements
Ensure data tables can stand alone when separated from the main text
Consider using typologically ordered tables for comparing different experimental conditions
When working with specialized proteins like PH2001, limited material or technical constraints may lead to small sample sizes. Here's how to handle this methodologically:
Study design optimization:
Use within-subject designs when possible to reduce variability
Employ randomization and blinding to minimize bias
Conduct power analyses to determine minimum required sample size
Consider sequential analysis approaches to optimize sampling
Data quality and validation:
Implement rigorous quality control measures
Use replication to verify critical findings
Document all data points, including outliers
Statistical approaches for small samples:
Use non-parametric tests when normality cannot be assumed
Apply bootstrap or resampling methods to estimate confidence intervals
Consider Bayesian approaches that can incorporate prior knowledge
Be cautious about over-interpretation of borderline significant results
Reporting considerations:
Clearly acknowledge sample size limitations
Report effect sizes alongside p-values
Provide raw data when possible
When faced with contradictory results during PH2001 characterization, follow this systematic approach:
Verify experimental conditions and protocols
Check for technical artifacts or systematic errors
Reproduce key experiments with appropriate controls
Evaluate whether differences are statistically significant
Different experimental conditions (temperature, pH, buffer composition)
Post-translational modifications or alternative conformations
Presence of inhibitors or activators
Oligomerization state differences
Create experiments specifically designed to test competing hypotheses
Vary one parameter at a time to isolate causative factors
Use orthogonal techniques to validate findings
Consider whether contradictions reflect genuine biological complexity
Develop a model that accounts for context-dependent behavior
Document conditions under which different results are observed
Comparative genomics provides powerful tools for investigating uncharacterized proteins through evolutionary context:
Phylogenetic profiling:
Identify orthologs across diverse species
Create presence/absence patterns across phylogenetic trees
Look for co-occurrence with proteins of known function
Infer potential functional relationships from similar distribution patterns
Genomic context analysis:
Examine gene neighborhood conservation
Identify operons or co-regulated gene clusters
Look for fusion events with domains of known function
Analyze synteny patterns across related genomes
Evolutionary rate analysis:
Calculate sequence conservation rates across orthologs
Identify highly conserved residues (potential functional sites)
Compare evolutionary constraints with related protein families
Use evolutionary coupling analysis to predict residue interactions
Methodological workflow:
Identify PH2001 homologs using sensitive sequence search tools (PSI-BLAST, HMMer)
Construct multiple sequence alignments
Build phylogenetic trees to establish evolutionary relationships
Map genomic context information onto phylogenetic trees
Structural biology provides crucial insights into protein function through detailed 3D structure analysis:
Experimental structure determination approaches:
| Method | Advantages | Limitations | Application to PH2001 |
|---|---|---|---|
| X-ray Crystallography | High resolution, well-established | Requires crystallization | Best for stable, well-folding proteins like thermophilic PH2001 |
| Cryo-EM | No crystallization needed, captures multiple states | Lower resolution for small proteins | Useful if PH2001 forms larger complexes |
| NMR Spectroscopy | Solution structure, dynamics information | Size limitations, requires isotope labeling | Provides dynamics information complementary to static structures |
Structure-based function prediction:
Structural similarity searches against known protein structures
Active site identification and comparison with characterized enzymes
Molecular docking with potential substrates
Molecular dynamics simulations to identify functional motions
Structure-guided mutagenesis:
Identify conserved or potentially functional residues
Design alanine scanning or targeted mutations
Test mutant proteins for altered activity or stability
Use structure-based rationale to interpret results
Integration with other data:
Map evolutionary conservation onto structural models
Identify potential interaction surfaces
Correlate structural features with biochemical data
Thermostable proteins from extremophiles like P. horikoshii offer unique advantages for various applications:
Enzyme biotechnology:
Industrial catalysts for high-temperature processes
Increased reaction rates at elevated temperatures
Extended catalyst lifetimes due to inherent stability
Resistance to organic solvents and denaturation
Structural biology tools:
Model systems for studying protein folding and stability
Templates for protein engineering and design
Reference structures for computational modeling
Therapeutic applications:
Enhanced shelf-life for protein-based therapeutics
Resistance to proteolytic degradation
Novel drug targets specific to archaeal pathogens
Scaffolds for thermostable antibody engineering
Research reagents:
Heat-stable alternatives to mesophilic enzymes
Components for high-temperature PCR and molecular biology
Standards for thermal stability measurements
Experimental advantages of working with PH2001:
Can be purified using heat treatment steps
Likely maintains stability during long-term storage
May function under conditions that denature contaminants
Researchers working with recombinant hyperthermophilic proteins like PH2001 frequently encounter several challenges:
Expression issues:
| Problem | Possible Causes | Solutions |
|---|---|---|
| Low expression | Codon bias, toxicity, poor translation | Use codon-optimized sequence, lower induction temperature, try different E. coli strains |
| Inclusion body formation | Rapid expression, improper folding | Reduce induction temperature, co-express chaperones, use solubility tags |
| Protein degradation | Proteolytic susceptibility | Use protease-deficient strains, add protease inhibitors, optimize purification speed |
Solubility and stability challenges:
Issue: Protein precipitation during concentration
Solution: Add stabilizing agents (glycerol, arginine), optimize buffer conditions, concentrate at lower temperatures
Issue: Activity loss during storage
Solution: Identify optimal storage buffer, add stabilizing agents, aliquot to avoid freeze-thaw cycles
Issue: Inconsistent activity measurements
Solution: Standardize assay conditions, ensure proper folding, control temperature precisely
Functional characterization obstacles:
Issue: No detectable activity
Solution: Try diverse substrate panels, vary assay conditions (temperature, pH, cofactors), consider protein partners
Issue: Non-physiological behavior at standard temperatures
Solution: Perform assays at elevated temperatures, consider native environment conditions
Issue: Difficulty distinguishing specific from non-specific activity
Solution: Include proper controls, perform inhibition studies, use structure-guided mutations
Identifying interaction partners for uncharacterized proteins requires systematic approaches:
Computational prediction strategies:
Structural docking with compound libraries
Analysis of surface characteristics and potential binding pockets
Sequence-based interaction prediction using machine learning
Co-evolution analysis to identify correlated mutation patterns
Experimental screening approaches:
| Approach | Methodology | Advantages | Considerations for PH2001 |
|---|---|---|---|
| Biochemical library screening | Test activity against substrate panels | Direct identification of function | Require temperature-stable reagents |
| Affinity-based methods | Pull-downs, co-IP, crosslinking | Identify physiological partners | May need thermostable crosslinkers |
| Thermal shift assays | Monitor protein stability with potential ligands | High-throughput, low protein consumption | Already thermostable, may need higher temps |
| Protein microarrays | Screen against libraries of proteins | Systematic interrogation | Temperature stability of array platform |
Validation strategies:
Confirm interactions using multiple orthogonal methods
Perform control experiments with mutated binding sites
Quantify binding parameters (Kd, kon, koff)
Several cutting-edge technologies are revolutionizing the study of uncharacterized proteins:
AI and deep learning applications:
AlphaFold2 and RoseTTAFold for accurate structure prediction
Machine learning for function prediction from sequence
AI-guided experimental design for efficient characterization
Automated literature mining to connect disparate information
Advanced structural methods:
Time-resolved crystallography to capture conformational changes
MicroED for structure determination from nanocrystals
Integrative structural biology combining multiple data types
Serial crystallography at X-ray free electron lasers
Single-molecule approaches:
Single-molecule FRET to monitor conformational dynamics
Nanopore analysis for protein unfolding studies
Force spectroscopy to measure mechanical stability
Single-molecule tracking in cellular contexts
High-throughput functional screening:
Droplet microfluidics for massive parallelization
CRISPR-based functional genomics screens
Massively parallel activity assays with DNA barcoding
Cell-free expression systems for rapid testing
Integration with other 'omics data:
Systems biology approaches combining multiple data types
Proteogenomics to connect genomic and proteomic information
Research on uncharacterized proteins from extremophiles provides unique insights into fundamental biological questions:
Evolutionary adaptations:
Molecular basis of thermostability and other extreme adaptations
Convergent vs. divergent evolution strategies in extreme environments
Ancient protein families and their evolutionary trajectories
Minimal functional requirements under extreme conditions
Biochemical principles:
Structure-function relationships under extreme conditions
Novel catalytic mechanisms adapted to extreme environments
Protein folding and stability principles
Alternative bioenergetic pathways
Biotechnological applications:
New catalysts for industrial processes
Biomaterials with enhanced stability
Novel antimicrobials targeting archaeal-specific pathways
Enzymes for extreme reaction conditions
Astrobiology implications:
Understanding potential extraterrestrial life adaptations
Biomarkers for detecting life in extreme environments
Limits of life under extreme conditions
Researchers working with uncharacterized proteins should utilize these specialized resources:
Sequence databases and tools:
UniProt/Swiss-Prot: Curated protein information (PH2001: O57781)
InterPro: Integrated resource for protein families and domains
Pfam: Protein family database
HMMER: Sensitive sequence search using hidden Markov models
Structure prediction and analysis:
AlphaFold DB: Database of predicted protein structures
PDB: Repository of experimental protein structures
DALI: Structural comparison server
ConSurf: Evolutionary conservation mapping onto structures
Functional prediction:
BLAST: Sequence similarity search
STRING: Protein-protein interaction networks
eggNOG: Orthology relationships and functional annotations
ProFunc: Function prediction from structure
Extremophile-specific resources:
ExtremeDB: Database of extremophilic proteins
PROSS: Computational protein stabilization tool
ThermoProt: Thermophilic protein database
Archaea-specific genome databases
Experimental design resources:
PDB statistics for crystallization conditions
Thermofluor protocols for thermal stability analysis
Archaeal expression system protocols
Essential literature for researchers working with uncharacterized archaeal proteins includes:
Methodological references:
"Annotation and curation of uncharacterized proteins- challenges" (2015) - Provides systematic approaches for characterizing hypothetical proteins
"Improving the success rate of proteome analysis by modeling protein-abundance distributions and experimental designs" (2007) - Offers strategies for optimizing experimental design for challenging proteins
"Using tables to enhance trustworthiness in qualitative research" (2021) - Guidelines for effectively presenting research data
Hyperthermophile-specific literature:
"Molecular adaptations of extremophiles to temperature and pressure"
"Structural basis of thermostability in hyperthermophilic proteins"
"Enzymes from extremophiles: From fundamentals to industrial applications"
Archaeal biology references:
"The third domain: The untold story of Archaea"
"Archaea: Evolution, Physiology, and Molecular Biology"
"Genomics and evolution of Thermophilic Archaea"
Functional genomics approaches:
"Integrative approaches for predicting protein function"
"Systems biology approaches for studying archaeal biology"
"Comparative genomics in archaeal research: From genomes to function"