Recombinant Archaeoglobus fulgidus Uncharacterized Protein AF_2160 (AF_2160) is a protein derived from the hyperthermophilic archaeon Archaeoglobus fulgidus. This organism is known for its ability to thrive in extremely high temperatures and is often studied for its unique metabolic processes, including sulfur metabolism . The AF_2160 protein is expressed in Escherichia coli and is available in a recombinant form, making it accessible for various research applications .
The recombinant AF_2160 protein is a full-length protein consisting of 161 amino acids. It is His-tagged, which facilitates purification and detection using affinity chromatography . The protein is typically supplied in a lyophilized form and requires reconstitution in sterile water for use. The recommended concentration for reconstitution is between 0.1 and 1.0 mg/mL, with the addition of glycerol for long-term storage .
While the specific function of AF_2160 remains uncharacterized, it is involved in several biochemical pathways and interacts with other proteins. These interactions and pathways are crucial for understanding its potential roles within Archaeoglobus fulgidus and its applications in biotechnology and basic research .
KEGG: afu:AF_2160
STRING: 224325.AF2160
The recommended storage conditions for recombinant AF_2160 protein are:
| Storage Purpose | Temperature | Buffer Conditions |
|---|---|---|
| Short-term storage (up to one week) | 4°C | Tris-based buffer with 50% glycerol |
| Long-term storage | -20°C | Tris-based buffer with 50% glycerol |
| Extended storage | -80°C | Tris-based buffer with 50% glycerol |
It is strongly recommended to avoid repeated freeze-thaw cycles as this can compromise protein integrity. Working aliquots should be prepared and stored at 4°C for up to one week to minimize freeze-thaw damage .
Recombinant AF_2160 can be successfully expressed in E. coli expression systems with appropriate tags (commonly His-tag) for purification. When designing expression strategies, researchers should consider:
Codon optimization for the expression host
Inclusion of appropriate fusion tags to aid solubility and purification
Temperature conditions that accommodate the thermophilic nature of the protein
Buffer systems that maintain protein stability during expression and purification
For hyperthermophilic archaeal proteins like AF_2160, expression at lower temperatures (15-18°C) may improve protein folding despite the protein's native high-temperature environment .
Due to the uncharacterized nature of AF_2160, a multi-technique approach is recommended:
| Technique | Application | Advantages |
|---|---|---|
| X-ray Crystallography | High-resolution 3D structure | Provides atomic-level details of protein structure |
| Cryo-EM | Structural analysis without crystallization | Useful for membrane proteins that resist crystallization |
| Circular Dichroism (CD) | Secondary structure analysis | Rapid assessment of α-helix, β-sheet content |
| NMR Spectroscopy | Solution structure and dynamics | Information on protein flexibility and domain movements |
| Bioinformatic Analysis | Structure prediction | Computational insights when experimental data is limited |
For transmembrane proteins like AF_2160 appears to be, detergent screening and lipid nanodisc reconstitution may be necessary steps prior to structural analysis to maintain native conformation.
A systematic approach to functional characterization should include:
Comparative Genomics Analysis:
Identify AF_2160 homologs in related organisms
Analyze genomic context for co-regulated genes
Search for conserved domains and motifs
Expression Profiling:
Protein-Protein Interaction Studies:
Employ pull-down assays using tagged AF_2160
Use yeast two-hybrid screening
Conduct co-immunoprecipitation experiments
Gene Knockout/Knockdown:
Generate AF_2160 deletion mutants if genetic systems exist for A. fulgidus
Analyze phenotypic changes in growth, stress response, or metabolism
Biochemical Assays:
Test for enzymatic activities based on predicted protein properties
Examine binding to potential substrates or interacting molecules
Given the potential membrane association of AF_2160, specialized purification approaches may be necessary:
Affinity Chromatography:
Utilize His-tag affinity purification under native or denaturing conditions
Consider optimizing imidazole concentration in buffers to reduce non-specific binding
Membrane Protein Extraction:
Screen detergents (DDM, CHAPS, Triton X-100) for optimal solubilization
Consider native nanodiscs or amphipols for maintaining native conformation
Size Exclusion Chromatography:
Use as a polishing step and to analyze oligomeric state
Buffer conditions should include stabilizing agents (glycerol, reducing agents)
Ion Exchange Chromatography:
May be useful as an additional purification step
Requires determination of protein pI and optimal pH for binding
Thermal Stability Considerations:
Leverage the thermophilic nature of the protein during purification
Consider heat treatment steps to eliminate less stable contaminants
A. fulgidus thrives at temperatures of 60-95°C, which has significant implications for its proteins:
Structural Adaptations:
Increased hydrophobic core packing
Higher proportion of charged surface residues
More extensive ion-pair networks
Reduced surface loop flexibility
Thermostability Mechanisms:
Analysis of the AF_2160 sequence suggests potential thermostabilizing features such as:
Multiple charged residues (E and K) that may form salt bridges
Compact hydrophobic regions within transmembrane domains
Reduced occurrence of thermolabile residues (Asn, Gln)
Functional Implications:
Enzymatic activity (if present) likely optimized for high temperatures
Protein-protein interactions may differ significantly from mesophilic counterparts
Membrane association properties adapted to maintain integrity at elevated temperatures
Research approaches should incorporate temperature as a critical variable in all functional and structural studies.
While AF_2160 is not identified as a heat shock protein in the available literature, comparative analysis with known heat shock response elements like HSR1 (AF1298) could provide valuable insights:
Regulatory Patterns:
Protein Domain Comparison:
Examine for structural similarities with known heat shock proteins
Identify potential DNA-binding or chaperone-like domains
Evolutionary Conservation:
Compare conservation patterns between AF_2160 and HSR1 across archaeal species
Analyze if AF_2160 shows similar patterns of conservation as known stress response proteins
A microarray approach similar to that used in heat shock studies of A. fulgidus could reveal whether AF_2160 belongs to stress response pathways .
Uncharacterized proteins from extremophiles present unique research challenges:
Heterologous Expression Challenges:
Codon usage optimization for expression host
Temperature optima mismatch between expression host and native conditions
Potential toxicity to host cells
Assay Development:
Design biochemical assays that function at elevated temperatures
Ensure buffer stability and substrate integrity at high temperatures
Develop specialized equipment for high-temperature assays
Structural Analysis Considerations:
Crystal formation may require specialized conditions for thermophilic proteins
NMR experiments may need to account for different dynamics at elevated temperatures
Consider native-like membrane environments for structural studies
Informatics Approaches:
Leverage specialized databases for extremophilic organisms
Use structure prediction algorithms trained on thermophilic proteins
Employ phylogenetic profiling across extremophiles
Experimental Controls:
Include appropriate thermophilic positive controls in all assays
Design experiments with temperature gradient analysis
While there is no direct evidence linking AF_2160 to RNA binding in the available literature, investigating potential RNA interactions could provide functional insights:
RNA Electrophoretic Mobility Shift Assay (EMSA):
UV Crosslinking and Immunoprecipitation:
Can identify direct RNA-protein contacts in vivo
Requires development of specific antibodies against AF_2160
RNA Footprinting:
Systematic Evolution of Ligands by Exponential Enrichment (SELEX):
Identifies preferred RNA binding motifs
Can be conducted at elevated temperatures to mimic native conditions
Fluorescence Anisotropy:
Measures binding affinities in solution
Can be performed across temperature ranges
The amino acid sequence of AF_2160 suggests potential membrane association:
Membrane Localization Studies:
Fluorescent protein tagging for localization
Subcellular fractionation to determine membrane association
Immunogold electron microscopy for precise localization
Membrane Topology Analysis:
Protease protection assays to determine exposed domains
Cysteine scanning mutagenesis
Fluorescence quenching experiments
Lipid Interaction Studies:
Liposome binding assays
Monolayer penetration experiments
Surface plasmon resonance with immobilized lipids
Detergent Solubilization Screening:
Systematic testing of detergent types and concentrations
Analysis of protein stability in different detergent micelles
Native PAGE to assess oligomeric state in different detergents
| Detergent Class | Examples | Appropriate for |
|---|---|---|
| Non-ionic | DDM, OG, Triton X-100 | Initial extraction screening |
| Zwitterionic | CHAPS, LDAO | Maintaining protein-protein interactions |
| Steroid-based | Digitonin, Cholate | Preserving supramolecular assemblies |
| Amphipols | A8-35 | Long-term stability studies |
Crystallizing membrane or transmembrane proteins presents significant challenges:
Construct Optimization:
Design multiple constructs with varying N- and C-terminal boundaries
Remove flexible regions identified by limited proteolysis
Consider fusion partners that promote crystallization (T4 lysozyme, BRIL)
Crystallization Condition Screening:
Utilize sparse matrix screens designed for membrane proteins
Test lipidic cubic phase (LCP) crystallization
Screen detergent types and concentrations
Include additives that mimic the native environment of thermophiles
Alternative Approaches:
Antibody fragment co-crystallization to stabilize flexible regions
Nanobody-assisted crystallography
Cryo-EM as an alternative to crystallography
Thermostability Optimization:
Thermal shift assays to identify stabilizing conditions
Engineer disulfide bonds to enhance stability
Screen for stabilizing ligands or binding partners
Specialized Techniques for Thermophilic Proteins:
Consider crystallization at elevated temperatures
Include ions found in native A. fulgidus environment
Test pressure crystallization techniques
A holistic approach to data integration can overcome the limitations of individual techniques:
Multi-omics Data Integration:
Combine proteomics, transcriptomics, and metabolomics data
Correlate expression patterns with cellular conditions
Identify co-regulated genes and proteins
Structure-Function Correlation:
Map conserved residues onto structural models
Identify potential active sites or binding pockets
Design targeted mutations to test functional hypotheses
Network Analysis:
Position AF_2160 within protein-protein interaction networks
Identify metabolic pathways potentially involving AF_2160
Analyze gene neighborhood and operon structures
Comparative Genomics:
Analyze distribution and conservation of AF_2160 across archaeal species
Identify co-evolved gene pairs that might functionally interact
Examine synteny patterns that might suggest function
Phylogenetic Profiling:
Correlate presence/absence patterns with ecological niches
Identify evolutionary patterns that might suggest function
Compare with proteins of known function showing similar profiles
Computational methods can guide experimental design for uncharacterized proteins:
Sequence-Based Analysis:
Profile-profile alignments to detect distant homologs
Identification of conserved motifs and domains
Prediction of post-translational modifications
Structure Prediction:
Ab initio modeling using AlphaFold2 or RoseTTAFold
Template-based modeling if distant homologs exist
Molecular dynamics simulations to assess stability and dynamics
Function Prediction:
Gene Ontology term prediction
Enzyme classification prediction
Ligand binding site prediction
Genome Context Methods:
Gene neighborhood analysis
Gene fusion detection
Phylogenetic profiling
Text Mining:
Literature-based knowledge discovery
Extraction of functional associations from publications
Identification of experimental approaches used for similar proteins
Each computational prediction should be formulated as a testable hypothesis for subsequent experimental validation.
Based on current knowledge and methodological capabilities, several research directions hold particular promise:
Integration with Systems Biology:
Global analyses of A. fulgidus under various stress conditions
Metabolic modeling to predict potential roles in cellular processes
Network-based approaches to position AF_2160 in biological pathways
Comparative Studies Across Archaea:
Functional characterization of homologs in genetically tractable archaeal species
Evolutionary analysis to trace functional adaptations
Cross-species complementation studies
Application of Emerging Technologies:
Cryo-electron tomography for in situ structural analysis
Single-cell transcriptomics to capture expression heterogeneity
CRISPR-based approaches if genetic systems become available
Ecological Context:
Studies linking AF_2160 function to ecological adaptations
Investigation of potential roles in interspecies interactions
Analysis in the context of extreme environment adaptation