Gene Names: SPBCPT2R1.01c (primary), SPBPB2B2.20c (alternative) .
Sequence: 280-amino-acid full-length protein with a predicted transmembrane domain .
Classification: Single-pass (bitopic) membrane protein, likely anchored via a Type II or IV topology based on sequence analysis .
Expression System: Recombinant protein produced in E. coli or yeast systems .
Purification: Tris-based buffer with 50% glycerol for stability .
Storage: -20°C for long-term storage; working aliquots stable at 4°C for ≤1 week .
| Parameter | Value |
|---|---|
| Molecular Weight | ~32 kDa (theoretical) . |
| Sequence Coverage | Full-length (residues 1–280) . |
| Post-Translational Modifications | None reported; lacks glycosylation motifs . |
Biological Role: Associated with membrane integrity and protein-protein interactions, though exact function remains uncharacterized .
Interactome:
| GO Term | Annotation |
|---|---|
| Cellular Component | Integral component of membrane (GO:0016021) . |
| Biological Process | Not yet annotated . |
| Molecular Function | Not yet annotated . |
Membrane Protein Dynamics: Serves as a model for studying single-pass transmembrane protein folding and localization .
Interaction Mapping: Used in pull-down assays to identify binding partners in S. pombe .
No in vivo functional studies or knockout phenotypes reported .
Structural data (e.g., X-ray crystallography, cryo-EM) are unavailable.
S. pombe is a premier model for studying conserved eukaryotic processes, including membrane trafficking and cell polarity . While UPF0494’s role remains elusive, its conservation across fungi suggests involvement in fundamental membrane-associated mechanisms. Future studies could leverage S. pombe’s genetic tractability to elucidate its function through knockout screens or synthetic genetic array (SGA) analyses .
KEGG: spo:SPBC1348.01
S. pombe contains multiple UPF0494 family members, including SPBCPT2R1.01c, SPBPB2B2.07c, and SPAC212.01c/CPT2R1.04c. Sequence alignment reveals structural similarities with significant homology in the transmembrane regions but distinct variations in the connecting loops . These proteins likely evolved through gene duplication events followed by functional diversification, as evidenced by their conserved core domains but divergent regulatory regions.
A comparison of key domains among S. pombe UPF0494 membrane proteins shows:
| Protein | Length | Number of predicted TM domains | Unique features |
|---|---|---|---|
| SPBCPT2R1.01c | 269 aa | 5-6 | Extended N-terminal domain |
| SPBPB2B2.07c | 250 aa | 5-6 | Distinct C-terminal sequence |
| SPAC212.01c | 280 aa | 6-7 | Longer connecting loops |
This family of proteins appears to be specific to fungi and may represent adaptations to particular environmental conditions or cellular processes unique to fungal cells .
Multiple computational approaches should be employed for comprehensive structural prediction:
Transmembrane helix prediction algorithms (TMHMM, HMMTOP, Phobius) to identify membrane-spanning regions
Deep learning approaches like AlphaFold2, which has demonstrated remarkable accuracy in predicting membrane protein structures
Consensus methods like CCTOP or TOPCONS that combine multiple prediction algorithms
Hydropathy analysis using Kyte-Doolittle or Wimley-White scales
Evolutionary analysis through multiple sequence alignment of UPF0494 family members
The application of AlphaFold2 and similar deep learning tools has revolutionized membrane protein structural prediction as described in recent literature: "With the rise of deep learning-based methods, exploring the sequence space has become increasingly feasible, allowing the discovery of proteins with stable topologies and new functions" . For SPBCPT2R1.01c, these models can predict the arrangement of transmembrane helices and the topology of connecting loops with increasing confidence.
Based on established protocols, the optimal expression and purification strategy involves:
Expression System: E. coli with an N-terminal His-tag for affinity purification
Culture Conditions: Growth at 30°C in LB medium with appropriate antibiotics and IPTG induction at OD600 of 0.6-0.8
Cell Lysis: Mechanical disruption in buffer containing detergents (DDM or CHAPS) to solubilize membrane proteins
Purification: Ni-NTA affinity chromatography with imidazole gradient elution
Storage: Either as lyophilized powder or in Tris/PBS-based buffer with 6% trehalose at pH 8.0
Reconstitution: In deionized sterile water to a concentration of 0.1-1.0 mg/mL with 5-50% glycerol
Long-term Storage: Aliquoted samples at -20°C/-80°C to avoid repeated freeze-thaw cycles
Alternative expression systems include Schizosaccharomyces pombe itself, which offers advantages for eukaryotic protein expression: "Unlike E. coli, S. pombe provides for post-translational modifications of the proteins, which are often critical for the structure and function of eukaryotic proteins" . Using vectors with the nmt1 promoter allows for constitutive or induced expression of the membrane protein.
Membrane proteins like SPBCPT2R1.01c present unique challenges for solubilization and stabilization. Effective approaches include:
Detergent screening: Test multiple detergents including mild non-ionic (DDM, LMNG), zwitterionic (CHAPS, Fos-choline), and lipid-like (digitonin) detergents
Lipid supplementation: Addition of specific phospholipids can enhance stability
Buffer optimization: Systematic testing of different buffers, pH values, and salt concentrations
Stabilizing additives: Glycerol (10-20%), cholesterol hemisuccinate, or specific ligands
Alternative solubilization systems: Consider nanodiscs, amphipols, or styrene-maleic acid copolymer lipid particles (SMALPs)
Researchers should monitor protein stability using techniques like fluorescence-detection size-exclusion chromatography (FSEC), differential scanning fluorimetry, or limited proteolysis. Repeated freezing and thawing should be avoided, with working aliquots stored at 4°C for up to one week .
Validation of proper folding requires multiple complementary approaches:
Biophysical characterization:
Circular dichroism spectroscopy to assess secondary structure
Fluorescence spectroscopy to monitor tertiary structure through intrinsic tryptophan fluorescence
Size-exclusion chromatography with multi-angle light scattering (SEC-MALS) to confirm monodispersity
Structural integrity assessment:
Limited proteolysis to confirm compact folding
Negative-stain electron microscopy to visualize protein particles
Native PAGE to assess homogeneity
Cell-based validation:
Localization studies using fluorescently tagged variants
Functional complementation of knockout strains
Protein-protein interaction studies using techniques like FRET or split-GFP
The purity of recombinant SPBCPT2R1.01c can be guaranteed above 90% by SDS-PAGE detection , providing a baseline for quality control in structural and functional studies.
Multiple complementary techniques should be considered:
X-ray crystallography:
Requires crystallization of purified protein, often facilitated by:
Lipidic cubic phase (LCP) crystallization
Addition of antibody fragments to stabilize flexible regions
Systematic screening of detergents and crystallization conditions
Cryo-electron microscopy (cryo-EM):
Single-particle analysis for high-resolution structure determination
Can be performed in detergent micelles, nanodiscs, or amphipols
May require antibody fragments for proteins <100 kDa
Nuclear Magnetic Resonance (NMR) spectroscopy:
Solution NMR for smaller domains
Solid-state NMR for membrane proteins in lipid environments
Requires isotopic labeling (13C, 15N, 2H)
As noted in recent literature: "The three main techniques that can be used to study membrane protein structure are X-ray Crystallography, Nuclear Magnetic Resonance (NMR) Spectroscopy, and Electron Microscopy" . The choice depends on protein size, stability, and the specific structural questions being addressed.
Molecular dynamics (MD) simulations offer powerful insights into membrane protein behavior:
Simulation setup:
Analysis approaches:
Conformational dynamics and flexibility assessment
Lipid-protein interaction mapping
Water penetration and potential permeation pathways
Identification of stable vs. dynamic regions
Advanced simulation techniques:
Enhanced sampling methods to access longer timescales
Coarse-grained simulations for larger systems
Free energy calculations to assess energetics of conformational changes
MD simulations can reveal "structural analysis of the protein in lipid environment, linking structure to function, oligomeric state of membrane proteins, role of specific amino acids in the function, transport function through change of state, permeation, and selectivity mechanisms" .
Determining the correct membrane topology of SPBCPT2R1.01c requires multiple approaches:
Computational predictions:
Transmembrane helix prediction algorithms (TMHMM, HMMTOP)
Hydropathy analysis using Kyte-Doolittle plots
Positive-inside rule validation
Experimental verification:
Protease protection assays to determine cytoplasmic vs. luminal domains
Site-specific labeling with membrane-impermeable reagents
Insertion of reporter tags (GFP, PhoA) at predicted loops
Cysteine scanning mutagenesis with accessibility assays
Structural approaches:
Cryo-EM with nanobody labeling of specific domains
EPR spectroscopy with site-directed spin labeling
Fluorescence quenching assays with lipid-embedded quenchers
Using these techniques in combination provides robust evidence for the membrane topology and orientation of the protein.
Investigating protein-protein interactions of membrane proteins requires specialized techniques:
Membrane yeast two-hybrid (MYTH) system:
"The membrane yeast two-hybrid (MTYH) technology allows for the identification of interactions between full-length integral membrane proteins"
S. pombe-specific arrayed libraries are available for high-throughput screening
The split-ubiquitin approach enables detection of interactions at the membrane
Affinity purification coupled with mass spectrometry (AP-MS):
Requires expression of tagged SPBCPT2R1.01c
Gentle solubilization with appropriate detergents
Quantitative approaches like SILAC can distinguish specific from non-specific interactions
Proximity labeling techniques:
BioID or APEX2 fusion proteins for in vivo proximity labeling
Identifies proteins in proximity to SPBCPT2R1.01c in living cells
Labeled proteins are captured and identified by mass spectrometry
Crosslinking mass spectrometry:
Chemical crosslinking of intact cells or purified complexes
Provides spatial constraints for interacting proteins
These techniques should be complemented with computational predictions and validated through reverse co-immunoprecipitation or functional assays.
Genetic manipulation in S. pombe provides powerful tools for functional characterization:
Gene deletion and modification:
CRISPR/Cas9 or homologous recombination for gene deletion
Tagged versions for localization and interaction studies
Point mutations to disrupt specific domains
Expression systems:
Phenotypic characterization:
Genetic interaction mapping:
Synthetic genetic array analysis
Epistasis experiments to position SPBCPT2R1.01c within cellular pathways
Suppressor screens to identify functional partners
The S. pombe system is particularly valuable because "two vectors have been constructed for protein expression in S. pombe, pESP-1 and pESP-2. Both vectors use the nmt1 promoter for constitutive or induced expression of the gene of interest" .
While the specific function remains uncharacterized, multiple lines of evidence suggest potential roles:
Membrane organization and integrity:
May contribute to membrane domain formation
Potential role in maintaining membrane fluidity or curvature
Transport functions:
Could facilitate transport of specific metabolites
May function as a channel for ions or small molecules
Vacuolar functions:
Stress response mechanisms:
Potential involvement in osmotic, oxidative, or pH stress responses
May function in adaptation to environmental changes
Cell wall biogenesis:
Possible coordination with cell wall synthesis machinery
May participate in trafficking of cell wall components
Deletion studies combined with phenotypic characterization would be necessary to determine the precise cellular role of this membrane protein.
Advanced crystallization strategies for challenging membrane proteins include:
Construct engineering:
Systematic truncation to remove flexible regions
Fusion with crystallization chaperones (T4 lysozyme, BRIL)
Surface entropy reduction through mutation of charged residues
Introduction of disulfide bonds to stabilize specific conformations
Crystallization methods:
Lipidic cubic phase (LCP) crystallization
Bicelle crystallization
Microseeding techniques
In situ crystallization with lipid-specific detergents
Antibody-mediated approaches:
Generation of conformation-specific nanobodies
Co-crystallization with antibody fragments
Use of crystallization chaperones like DARPins
Recent breakthroughs in computational design suggest additional possibilities: "Here we use a robust deep learning pipeline to design complex folds and soluble analogues of integral membrane proteins" . Creating soluble analogues while preserving key structural features could facilitate crystallization efforts.
Cutting-edge biophysical approaches reveal crucial insights into membrane protein dynamics:
Single-molecule spectroscopy:
Single-molecule FRET to track conformational changes
Site-specific labeling to monitor domain movements
Detection of rare or transient conformational states
Advanced NMR approaches:
Methyl-TROSY NMR for large membrane proteins
Relaxation dispersion experiments for microsecond-millisecond dynamics
Solid-state NMR in native-like lipid environments
Hydrogen/deuterium exchange mass spectrometry (HDX-MS):
Identifies regions with different solvent accessibility
Maps dynamic regions onto structural models
Detects conformational changes induced by binding partners
Advanced computational methods:
Enhanced sampling molecular dynamics simulations
Markov state modeling to identify key conformational states
Machine learning approaches to predict dynamic behavior
These techniques provide unprecedented insights into the conformational landscape and dynamic behavior of membrane proteins like SPBCPT2R1.01c.
Integrative systems biology approaches offer comprehensive insights:
Multi-omics integration:
Transcriptomics to identify co-regulated genes
Proteomics to detect interaction partners and post-translational modifications
Lipidomics to assess effects on membrane composition
Metabolomics to identify potential transported substrates
Network analysis:
Construction of protein-protein interaction networks
Pathway enrichment analysis
Identification of functional modules containing SPBCPT2R1.01c
Comparative genomics:
Analysis across fungal species to identify conserved functions
Correlation with environmental adaptations
Identification of co-evolving gene clusters
Mathematical modeling:
Kinetic models of potential transport processes
Integration into whole-cell models of S. pombe
Prediction of system-level effects of SPBCPT2R1.01c perturbation
These approaches position SPBCPT2R1.01c within broader cellular networks and provide context for its specific functions.