AF_1598 is produced as a full-length recombinant protein (1–103 amino acids) in E. coli, optimized for research applications . Key details include:
| Parameter | Value |
|---|---|
| Host Organism | E. coli |
| Source Species | Archaeoglobus fulgidus |
| Tag | His-tag |
| Protein Length | 103 amino acids (Full Length) |
| Price | Available upon request |
No functional annotations or pathway associations are currently documented for AF_1598 .
AF_1598 remains a "dark" protein with no established roles in metabolism, signaling, or stress responses. Key gaps include:
Pathway Involvement: No pathways (e.g., glycosylation, DNA repair) have been linked to AF_1598 .
Functional Interactions: No direct protein-molecule interactions or binding partners are documented .
Experimental Validation: Structural predictions lack biochemical corroboration.
Functional Genomics: Knockout studies in A. fulgidus to identify phenotypic changes.
Structural Biology: Co-crystallization with ligands to probe binding pockets.
Comparative Analysis: Sequence alignment with orthologs from other archaea to infer conserved motifs.
AF_1598 is commercially available as a recombinant protein for research purposes, enabling downstream studies such as:
Enzyme Activity Assays: Testing for catalytic roles (e.g., hydrolase, oxidoreductase).
Protein-Protein Interaction Screens: Identifying binding partners via affinity chromatography.
Biophysical Characterization: Thermal stability assays or NMR studies.
KEGG: afu:AF_1598
STRING: 224325.AF1598
AF_1598 is a full-length protein consisting of 103 amino acids from the hyperthermophilic archaeon Archaeoglobus fulgidus. It is available as a recombinant protein with a His-tag, expressed in E. coli expression systems . Unlike many characterized proteins from A. fulgidus, AF_1598 remains largely uncharacterized in terms of its three-dimensional structure.
For structural characterization, researchers should consider employing:
X-ray crystallography following protein purification
Nuclear magnetic resonance (NMR) spectroscopy for solution structure determination
Cryo-electron microscopy for larger protein complexes
In silico structure prediction using AlphaFold2 or similar advanced tools
These approaches should be complemented with biophysical characterization methods such as circular dichroism (CD) spectroscopy to determine secondary structure elements, and differential scanning calorimetry (DSC) to assess thermal stability, particularly important given the hyperthermophilic nature of the source organism.
When expressing archaeal proteins like AF_1598, researchers should optimize codon usage for the selected expression system and consider adding solubility-enhancing tags beyond the His-tag if expression or solubility challenges arise. Temperature optimization is also critical for proper folding of proteins from hyperthermophilic organisms.
Methodological approach for quality control of recombinant AF_1598:
SDS-PAGE analysis: Run purified protein on 15-18% gels (suitable for smaller proteins like AF_1598) alongside molecular weight markers. Expect a band at approximately 11-12 kDa plus the weight of the His-tag.
Western blot: Use anti-His antibodies to confirm the presence of the tagged protein.
Mass spectrometry:
MALDI-TOF MS to confirm molecular weight
LC-MS/MS for peptide fingerprinting and sequence verification
Size exclusion chromatography: Assess protein homogeneity and oligomeric state.
Dynamic light scattering: Evaluate size distribution and aggregation status.
For archaeal proteins like AF_1598, it's particularly important to assess proper folding through circular dichroism spectroscopy, as expression in mesophilic hosts may result in improper folding of thermophilic proteins.
As AF_1598 remains uncharacterized , a systematic multi-omics approach is recommended:
Bioinformatic analysis:
Sequence homology searches against characterized proteins
Identification of conserved domains/motifs
Phylogenetic analysis to identify potential orthologs with known functions
Structural prediction and comparison with functionally characterized proteins
Protein interaction studies:
Pull-down assays with cell lysates from A. fulgidus
Yeast two-hybrid screening
Proximity labeling approaches (BioID, APEX)
Co-immunoprecipitation followed by mass spectrometry
Gene neighborhood analysis:
Examine genes adjacent to AF_1598 in the A. fulgidus genome
Look for operonic structures that might suggest functional relationships
Transcriptomic analysis:
Compare expression patterns with genes of known function under various conditions
Identify conditions that upregulate or downregulate AF_1598 expression
Phenotypic studies:
Gene deletion/knockdown experiments if genetic systems are available
Heterologous expression followed by phenotypic analysis
These approaches should be integrated to develop testable hypotheses regarding AF_1598 function, with subsequent biochemical assays designed based on predicted functions.
For investigating protein-protein interactions involving this uncharacterized protein, employ a strategic combination of methods:
In vitro approaches:
Surface plasmon resonance (SPR) with purified potential interactors
Isothermal titration calorimetry (ITC) for thermodynamic parameters of interactions
Microscale thermophoresis (MST) for detecting interactions under near-native conditions
Size exclusion chromatography combined with multi-angle light scattering (SEC-MALS)
Crosslinking mass spectrometry:
Use chemical crosslinkers followed by LC-MS/MS to capture transient interactions
Analyze proximity data to generate interaction models
Thermal shift assays:
Differential scanning fluorimetry with potential binding partners
Monitor changes in protein thermal stability upon interaction
Cellular approaches:
FRET or BRET assays with fluorescently tagged proteins
Proximity ligation assays in cellular contexts
Bimolecular fluorescence complementation
Native mass spectrometry:
Direct analysis of intact protein complexes
Determination of stoichiometry and stability
When designing these experiments, consider the extreme thermophilic nature of A. fulgidus, which may require modifications to standard protocols to accommodate high-temperature interactions or structural changes that occur at elevated temperatures.
Although no specific post-translational modifications (PTMs) of AF_1598 have been reported in the available literature, archaeal proteins often undergo unique modifications. A comprehensive PTM analysis workflow includes:
Sample preparation strategies:
Enrichment techniques specific to modification types (phosphopeptides, glycopeptides)
Protection of labile modifications during extraction and processing
Use of modification-specific antibodies for enrichment where applicable
Mass spectrometry approaches:
High-resolution MS/MS for precise mass determination
Electron transfer dissociation (ETD) for preserving labile modifications
Parallel reaction monitoring (PRM) for targeted analysis of modified peptides
Data-independent acquisition (DIA) for comprehensive detection
Specialized analysis for archaeal-specific modifications:
Detection of sulfation, methylation, and acetylation common in Archaea
Analysis of unique archaeal glycosylation patterns
Bioinformatic prediction:
Use of archaeal-specific PTM prediction algorithms
Homology-based prediction based on characterized archaeal proteins
Functional validation:
Site-directed mutagenesis of predicted modification sites
Biochemical assays to assess the impact of modifications on function
When analyzing AF_1598, special attention should be paid to the hyperthermophilic environment of A. fulgidus, as PTMs may play critical roles in protein stability at extreme temperatures.
When facing conflicting experimental results with AF_1598 or other uncharacterized proteins:
Systematic variation analysis:
Vary experimental conditions systematically to identify factors causing discrepancies
Test multiple expression systems to rule out expression-related artifacts
Compare results between different protein batches and purification methods
Multi-technique validation:
Apply orthogonal methods to verify observations
For functional studies, use both in vitro and in vivo approaches
Complement biochemical assays with biophysical and structural studies
Reproducibility assessment:
Implement rigorous statistical analysis
Perform biological and technical replicates
Consider inter-laboratory validation for persistent contradictions
Control experiments:
Include appropriate positive and negative controls
Use closely related proteins as comparators
Test recombinant protein alongside native protein where possible
Environmental conditions consideration:
Test at physiologically relevant temperatures for A. fulgidus (approximately 83°C)
Examine the effects of pH, salt concentration, and redox state
Consider the anaerobic nature of A. fulgidus when designing experiments
When designing DNA constructs for structure-function analysis of AF_1598, consider:
Expression vector selection:
Temperature-inducible promoters for better control of expression
Vectors with appropriate selection markers for the chosen host
Consideration of copy number effects on expression levels
Affinity tag strategies:
N-terminal vs. C-terminal His-tag placement based on predicted functional domains
Inclusion of protease cleavage sites for tag removal
Alternative tags (GST, MBP) for enhanced solubility or specific applications
Domain mapping constructs:
Mutagenesis strategy:
Alanine-scanning mutagenesis of conserved residues
Charge reversal mutations to probe electrostatic interactions
Conservative vs. non-conservative substitutions
Codon optimization:
Adapting the archaeal coding sequence for expression in mesophilic hosts
Avoiding rare codons in the expression host
Considering GC content for efficient transcription
These design considerations should be integrated with bioinformatic analysis of the AF_1598 sequence to identify potential functional regions or domains worth targeting in structure-function studies.
Given that AF_1598 comes from the hyperthermophilic archaeon A. fulgidus, assay conditions should reflect its native environment:
Temperature considerations:
Primary assays should be conducted at 80-85°C (optimal growth temperature of A. fulgidus)
Temperature range studies (60-100°C) to determine optimal activity and stability
Include appropriate temperature-stable controls and reagents
Buffer systems:
pH range testing from 5.5-8.0, with emphasis around pH 7.0 (near-neutral pH of A. fulgidus cytoplasm)
High ionic strength buffers (0.1-0.5 M NaCl or KCl) to mimic archaeal conditions
Consideration of anaerobic conditions for functional assays
Stability enhancers:
Addition of osmolytes like trimethylamine N-oxide (TMAO) or glycine betaine
Testing cofactor requirements (metal ions, particularly Fe, Ni, Co as relevant to A. fulgidus)
Reducing agents to maintain physiological redox state
Control experiments:
Parallel assays with heat-denatured protein
Comparison with well-characterized archaeal proteins as positive controls
Time-course studies to ensure steady-state conditions
Equipment adaptations:
Use of high-temperature stable microplates or sealed glass containers
Temperature-controlled spectrophotometers or plate readers
Consideration of evaporation effects in extended assays
These optimized conditions will help ensure that any observed activity reflects the true biochemical properties of AF_1598 in its native environment rather than artifacts from non-physiological conditions.
For comprehensive transcriptomic analysis involving AF_1598:
Experimental design:
Compare multiple growth conditions relevant to A. fulgidus ecology (varying temperature, pH, carbon sources, electron acceptors)
Include time-course sampling to capture temporal expression patterns
Design biological and technical replicates for statistical robustness
RNA extraction considerations:
Use specialized protocols for archaeal RNA extraction to preserve integrity
Include appropriate controls to assess RNA quality (RIN values > 8)
Consider additional purification steps to remove contaminating DNA
Sequencing approach:
RNA-Seq with sufficient depth (>20 million reads per sample)
Strand-specific library preparation to capture antisense transcription
Consider 5'-end mapping techniques to identify transcription start sites
Data analysis workflow:
Quality control and adapter trimming
Alignment to A. fulgidus reference genome
Normalization methods appropriate for archaeal transcriptomes
Differential expression analysis using DESeq2 or similar tools
Validation strategies:
qRT-PCR validation of expression changes for AF_1598
Northern blot analysis for confirmation of transcript size
Reporter gene assays to validate promoter activity
Co-expression network analysis:
Identify genes with similar expression patterns to AF_1598
Functional enrichment analysis of co-expressed genes
Integration with protein-protein interaction data
This comprehensive approach will help contextualize AF_1598 within the broader transcriptional landscape of A. fulgidus and may provide insights into its functional role and regulation.
Comparative analysis of AF_1598 with other uncharacterized proteins can provide important contextual information:
Sequence-based comparisons:
Multiple sequence alignment with other uncharacterized A. fulgidus proteins
Clustering analysis to identify potential paralogous relationships
Assessment of conservation patterns across related sequences
Structural comparisons:
Structural prediction comparison using tools like AlphaFold2
Domain architecture analysis
Identification of shared structural motifs despite low sequence similarity
Genomic context analysis:
Comparison of gene neighborhood patterns
Identification of shared regulatory elements
Co-occurrence patterns in different archaeal species
Expression pattern comparison:
Analysis of co-expression networks
Identification of shared transcriptional regulators
Response to similar environmental conditions
Evolutionary rate analysis:
Calculation of dN/dS ratios to assess selection pressure
Comparison of evolutionary conservation across archaeal lineages
Identification of rapidly evolving vs. conserved regions
This comparative approach may reveal functional relationships between AF_1598 and other uncharacterized proteins, potentially allowing functional inferences based on the principle that functionally related proteins often share similar properties or evolutionary patterns.
Comparing the uncharacterized AF_1598 with the characterized 7-Cyano-7-Deazaguanine tRNA-Ribosyltransferase (TGTA) from A. fulgidus provides a methodological framework for functional inference:
Structural comparison:
Expression system insights:
Functional association assessment:
Evaluation of potential functional relationships in tRNA modification pathways
Co-expression analysis under conditions known to induce TGTA expression
Investigation of potential protein-protein interactions between AF_1598 and TGTA
Evolutionary context:
Comparative analysis of conservation patterns across archaeal species
Assessment of co-evolution signals that might indicate functional relationships
Analysis of gene neighborhood patterns in relation to tRNA processing genes
This comparative approach leverages existing knowledge about TGTA to generate testable hypotheses about AF_1598's potential role in A. fulgidus, particularly in the context of RNA processing or modification.
Based on current knowledge and methodological approaches, future research on AF_1598 should focus on:
Integrative structural biology approaches:
Combining X-ray crystallography, NMR, and cryo-EM with computational modeling
Structural comparison with characterized archaeal proteins
Structure-guided functional hypothesis generation
Systems biology integration:
Multi-omics data integration (transcriptomics, proteomics, metabolomics)
Network analysis to position AF_1598 in cellular pathways
Perturbation studies to assess systemic effects of AF_1598 manipulation
Functional screening approaches:
Development of high-throughput assays to test multiple potential functions
Heterologous expression in model organisms with phenotypic screening
Library-based approaches to identify interacting partners or substrates
Evolutionary functional inference:
Deeper phylogenetic analysis across archaeal lineages
Ancestral sequence reconstruction and functional testing
Comparative genomics to identify co-evolving gene clusters
Advanced genetic approaches:
Development or application of genetic systems for A. fulgidus
CRISPR-based approaches for gene editing and regulation
Synthetic biology approaches to reconstruct minimal functional units
These research directions, pursued in parallel, will maximize the chance of elucidating the function of AF_1598 and contribute to our broader understanding of archaeal biology and evolution.
When encountering contradictions in the scientific literature regarding AF_1598 or similar uncharacterized proteins:
Systematic literature assessment:
Catalog all experimental conditions, methods, and materials used across studies
Identify key variables that differ between contradictory reports
Assess the quality and reproducibility measures in each study
Meta-analysis approach:
Quantitatively combine data across studies where possible
Apply statistical methods to assess heterogeneity
Identify potential moderating variables explaining contradictions
Replication strategy:
Design experiments that specifically address contradictory points
Include conditions matching both original studies
Extend experimental conditions to identify threshold effects
Collaborative resolution:
Engage with authors of contradictory studies
Consider multi-laboratory validation studies
Share materials and protocols to eliminate technical variations
Theoretical reconciliation:
Develop models that could explain seemingly contradictory results
Consider context-dependent functions or condition-specific effects
Examine whether contradictions might reflect different aspects of a complex function