KEGG: spo:SPBC21B10.07
STRING: 4896.SPBC21B10.07.1
SPBC21B10.07 is a probable glycosidase protein found in the fission yeast Schizosaccharomyces pombe. It belongs to the glycoside hydrolase family and plays a role in carbohydrate metabolism. S. pombe serves as an excellent eukaryotic model organism for studying essential biological processes, with approximately 1,200 genes essential for cell viability, most of which are evolutionarily conserved across eukaryotes . Understanding proteins like SPBC21B10.07 contributes to our knowledge of fundamental cellular processes that may be applicable to higher eukaryotes, including humans.
SPBC21B10.07 is a full-length protein consisting of 419 amino acids . As a probable glycosidase, it likely contains conserved domains characteristic of the glycoside hydrolase family, particularly those involved in substrate binding and catalytic activity. Based on similar glycosidases studied in S. pombe, such as the catalytic α-subunit of N-glycan processing glucosidase II (SpGIIα), it may possess a catalytic domain that enables it to hydrolyze various glycosidic linkages . For detailed structural studies, researchers typically express the recombinant protein with tags (such as histidine) to facilitate purification and downstream applications.
While specific comparative data for SPBC21B10.07 is limited in the provided search results, we can draw parallels with the well-characterized SpGIIα from S. pombe. Similar to SpGIIα, SPBC21B10.07 likely belongs to the glycoside hydrolase family and may share functional characteristics such as the ability to hydrolyze various glucosidic linkages. SpGIIα has been shown to hydrolyze α-(1→2)-, α-(1→3)-, α-(1→4)-, and α-(1→6)-glucosidic linkages, as well as p-nitrophenyl α-glucoside . Comparative analysis would typically involve sequence alignment, phylogenetic analysis, and functional characterization through enzyme activity assays using various substrates.
Recombinant SPBC21B10.07 can be successfully expressed in E. coli expression systems, as evidenced by commercially available recombinant forms of the protein . Based on related research with similar S. pombe glycosidases like SpGIIα, the following methodology may be applied:
Select an appropriate E. coli strain optimized for eukaryotic protein expression (e.g., BL21(DE3), Rosetta)
Design expression constructs with suitable affinity tags (e.g., 6xHis tag)
Optimize expression conditions:
Induction with IPTG (typically 0.1-1.0 mM)
Induction temperature (often lowered to 18-25°C to improve protein folding)
Duration of expression (4-24 hours)
Media composition (enriched media like TB or 2xYT may increase yield)
The success of expression should be validated by SDS-PAGE and Western blot analysis to confirm the presence of the target protein at the expected molecular weight .
Based on studies with similar glycosidases from S. pombe, SPBC21B10.07 may exhibit limited stability after purification. For instance, the recombinant SpGIIα showed a reduction in activity to less than 40% after just 2 days of storage at 4°C . To enhance stability and preserve enzymatic activity, researchers should consider:
Adding 10% (v/v) glycerol to storage buffers, which has been demonstrated to prevent activity loss in similar enzymes
Storing purified protein in small aliquots to minimize freeze-thaw cycles
Maintaining a consistent pH (typically in the range of 6.5-7.5 for glycosidases)
Including reducing agents (such as DTT or β-mercaptoethanol) to prevent oxidation of cysteine residues
Adding protease inhibitors to prevent degradation
Systematic testing of these conditions through activity assays at various time points is recommended to determine the optimal storage conditions for your specific preparation.
A multi-step purification strategy is recommended for obtaining high-purity, active SPBC21B10.07:
Initial Capture:
Intermediate Purification:
Ion exchange chromatography based on the theoretical pI of the protein
Size exclusion chromatography to remove aggregates and contaminants
Polishing:
Hydroxyapatite chromatography for glycoproteins
Throughout the purification process, it's crucial to monitor enzyme activity using appropriate substrates (such as p-nitrophenyl α-glucoside) to ensure that the purification conditions preserve the catalytic function of the enzyme . Additionally, purification buffers should contain glycerol (10% v/v) to maintain stability, based on findings with similar S. pombe glycosidases .
Based on studies of similar glycosidases from S. pombe, particularly SpGIIα, the following substrates can be used to assess the enzymatic activity of SPBC21B10.07:
| Substrate Type | Specific Examples | Expected Measurement |
|---|---|---|
| Synthetic chromogenic substrates | p-nitrophenyl α-glucoside | Spectrophotometric detection at 405 nm of released p-nitrophenol |
| Defined oligosaccharides | Glc₂Man₃-Dansyl, Glc₁Man₃-Dansyl | Fluorescence-based detection of released dansyl-labeled products |
| Natural N-glycans | Glc₂Man₉GlcNAc₂, Glc₁Man₉GlcNAc₂ | HPLC or mass spectrometry-based detection of substrate conversion |
| Various linkage-specific oligosaccharides | α-(1→2)-, α-(1→3)-, α-(1→4)-, and α-(1→6)-linked glucosides | Determination of linkage specificity through comparisons of hydrolysis rates |
For comprehensive characterization, it's advisable to test multiple substrate types to determine the enzyme's preference and specificity . Kinetic parameters (Km, Vmax, kcat) should be determined under optimal reaction conditions to facilitate comparisons with other glycosidases.
To determine optimal pH and temperature conditions for SPBC21B10.07 activity, a systematic approach testing enzyme activity across ranges of these parameters is recommended:
For pH optimization:
Prepare a series of buffers covering pH 4.0-9.0 with 0.5 unit increments
Common buffer systems include acetate (pH 4.0-5.5), MES (pH 5.5-6.5), phosphate (pH 6.5-7.5), Tris (pH 7.5-8.5), and glycine (pH 8.5-9.0)
Perform enzyme assays using a standard substrate (e.g., p-nitrophenyl α-glucoside) in each buffer
Plot relative activity against pH to identify the optimal range
For temperature optimization:
Conduct enzyme assays at temperatures ranging from 20°C to 50°C in 5°C increments
Perform reactions at the previously determined optimal pH
Graph enzyme activity versus temperature to identify the optimal temperature
Additionally, assess temperature stability by pre-incubating the enzyme at various temperatures for defined periods (15, 30, 60 minutes) before assaying remaining activity
Based on studies of similar glycosidases, you might expect SPBC21B10.07 to show optimal activity in the pH range of 6.0-7.5 and at temperatures between 30-37°C, which reflect the physiological conditions of S. pombe .
SPBC21B10.07, as a probable glycosidase, likely participates in carbohydrate metabolism pathways in S. pombe. While specific pathway information for this protein is limited in the search results, we can infer its potential roles based on similar glycosidases:
N-glycan processing: Similar to SpGIIα, it may be involved in the modification of N-linked glycans, participating in the endoplasmic reticulum quality control system for glycoproteins
Metabolic flexibility: Recent research using CRISPRi libraries in S. pombe has revealed "flexible interaction among metabolic pathways" when essential genes are knocked down . This suggests that glycosidases like SPBC21B10.07 may have roles in maintaining metabolic homeostasis through their participation in carbohydrate processing
Cell wall maintenance: Given that many glycosidases contribute to cell wall biosynthesis and remodeling in yeasts, SPBC21B10.07 might participate in these processes
To definitively determine the protein's role in metabolic networks, researchers should consider:
Conducting metabolomic analyses of knockdown strains using techniques such as GC-MS
Performing interaction studies to identify binding partners
Utilizing the recently developed CRISPRi libraries for S. pombe to specifically target SPBC21B10.07 and analyze the resulting metabolic perturbations
Utilizing CRISPRi (CRISPR interference) to study SPBC21B10.07 function involves the following methodological approach:
Guide RNA Design:
Design multiple sgRNAs targeting the promoter region or early coding sequence of SPBC21B10.07
Use S. pombe-specific design tools to enhance specificity and efficiency
Aim for 3-4 different guides to control for off-target effects
Vector Construction and Transformation:
Utilize established plasmids containing dCas9 (catalytically dead Cas9) for S. pombe
Clone your sgRNAs into appropriate vectors compatible with the CRISPRi system
Transform into S. pombe using standard protocols (e.g., lithium acetate method)
Knockdown Verification:
Quantify SPBC21B10.07 mRNA levels using RT-qPCR
Assess protein levels via Western blot if antibodies are available
Target for at least 70-80% reduction in expression for meaningful functional studies
Phenotypic Analysis:
Recent comprehensive CRISPRi libraries covering ~98% of essential genes in S. pombe provide an excellent resource for this approach. Studies have shown that in approximately 60% of CRISPRi strains, transcription repression was efficient enough to significantly inhibit cell proliferation, making this a powerful tool for studying gene function .
Several visualization methods can be employed to study the subcellular localization of SPBC21B10.07 in S. pombe:
Fluorescent Protein Tagging:
C-terminal or N-terminal fusion with fluorescent proteins (GFP, mCherry, etc.)
Ensure that the tag doesn't interfere with protein function through complementation studies
Use chromosomal integration for native expression levels or plasmid-based expression
Visualize using confocal or fluorescence microscopy
Immunofluorescence:
Generate antibodies against purified SPBC21B10.07 or use antibodies against epitope tags
Fix cells using methods suitable for S. pombe (e.g., 70% ethanol fixation as mentioned in search result )
Permeabilize and block non-specific binding
Incubate with primary and fluorescently-labeled secondary antibodies
Counterstain with DAPI to visualize nuclei and calcofluor to visualize septa/cell wall
Correlative Light and Electron Microscopy (CLEM):
For high-resolution localization studies
Combine fluorescence microscopy with electron microscopy for ultrastructural context
Live Cell Imaging:
For dynamic studies of protein movement and interactions
Can be combined with techniques like FRAP (Fluorescence Recovery After Photobleaching) to study protein mobility
When designing these experiments, consider using appropriate controls and markers for specific cellular compartments (e.g., ER, Golgi, vacuole) to precisely determine the localization of SPBC21B10.07.
To identify protein-protein interactions of SPBC21B10.07 in S. pombe, several complementary approaches can be employed:
Affinity Purification coupled with Mass Spectrometry (AP-MS):
Express tagged SPBC21B10.07 (e.g., TAP-tag, FLAG-tag, or His-tag)
Perform pull-down experiments under various conditions (different buffers, detergents)
Analyze co-purified proteins by mass spectrometry
Validate interactions by reciprocal pull-downs
Yeast Two-Hybrid (Y2H) Screening:
Use SPBC21B10.07 as bait against a S. pombe cDNA library
Screen for positive interactions based on reporter gene activation
Confirm interactions by targeted Y2H assays
Proximity-Based Labeling:
Fuse SPBC21B10.07 with BioID or APEX2
These enzymes biotinylate proteins in close proximity
Purify biotinylated proteins and identify by mass spectrometry
Co-localization Studies:
Perform dual-labeling experiments with fluorescently tagged proteins
Assess co-localization using high-resolution microscopy
Quantify co-localization using appropriate software and statistical analysis
Functional Genomics Approaches:
For data validation, employ at least two independent methods and include appropriate controls. Bioinformatic analysis of the interaction data can help identify enriched pathways and functional clusters associated with SPBC21B10.07.
When facing contradictory data regarding SPBC21B10.07 function, a systematic troubleshooting approach is essential:
Evaluate Experimental Conditions:
Compare detailed protocols including buffer compositions, temperatures, pH, and enzyme concentrations
Assess substrate quality and preparation methods
Consider the influence of affinity tags on protein function
Examine the purity of enzyme preparations using SDS-PAGE and mass spectrometry
Analyze Genetic Background Effects:
Different S. pombe strains may exhibit variable phenotypes
Confirm strain genotypes through sequencing
Consider epistatic interactions with other genes
Perform complementation studies to validate phenotypes
Conduct Methodological Cross-Validation:
Apply multiple techniques to address the same research question
For enzymatic activity, use both direct (e.g., product formation) and indirect (e.g., coupled) assays
For localization, combine different visualization approaches
For interaction studies, validate with orthogonal methods
Design Definitive Experiments:
Create point mutations in catalytic residues to test structure-function relationships
Perform domain swapping to identify functional regions
Use chimeric proteins to dissect contradictory functions
Apply quantitative approaches with appropriate statistical analysis
Consider Biological Context:
Examine cell-cycle dependent effects
Assess the influence of growth conditions and metabolic state
Investigate potential post-translational modifications
Analyze protein dynamics and turnover rates
This systematic approach has been successfully applied to resolve contradictory results in other research areas, such as the septins' role in cytoplasmic freezing in S. pombe, where researchers documented their evolving understanding of the phenomenon and developed quantitative descriptors to address reproducibility concerns .
Advanced enzyme kinetic approaches for SPBC21B10.07 characterization include:
Transient Kinetics using Stopped-Flow Spectroscopy:
Measure rapid reaction phases occurring within milliseconds
Determine rate constants for individual steps in the catalytic cycle
Identify rate-limiting steps in the reaction mechanism
Requires specialized equipment but provides deeper mechanistic insights
Isothermal Titration Calorimetry (ITC):
Directly measure thermodynamic parameters of substrate binding
Determine binding affinity (Kd), enthalpy (ΔH), entropy (ΔS), and stoichiometry
Particularly useful for comparing different substrates and inhibitors
Surface Plasmon Resonance (SPR):
Real-time analysis of substrate binding without requiring substrate modification
Determine association (kon) and dissociation (koff) rate constants
Useful for studying the effects of mutations on substrate recognition
Single-Molecule Enzymology:
Observe individual enzyme molecules using fluorescence techniques
Detect enzyme conformational changes during catalysis
Identify potential heterogeneity in enzyme behavior
Requires specialized equipment and fluorescent substrates or enzyme labeling
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Probe protein dynamics and conformational changes upon substrate binding
Identify regions involved in substrate recognition
Monitor structural perturbations caused by mutations or inhibitors
Computational Approaches:
Molecular dynamics simulations to study enzyme-substrate interactions
Quantum mechanics/molecular mechanics (QM/MM) to model transition states
Machine learning approaches to predict substrate specificity
These advanced techniques provide complementary information to traditional steady-state kinetics and can help resolve mechanistic questions about SPBC21B10.07 catalysis, particularly in comparison to related glycosidases like SpGIIα .
Research on SPBC21B10.07 can significantly advance our understanding of several fundamental concepts in glycobiology:
Evolutionary Conservation of Glycan Processing:
Comparative analysis of SPBC21B10.07 with glycosidases from other organisms can reveal evolutionary patterns
Identification of conserved catalytic mechanisms across species
Understanding how substrate specificity evolved in different lineages
S. pombe serves as an excellent model organism with ~1,200 essential genes, most of which are evolutionarily conserved
Structure-Function Relationships in Glycoside Hydrolases:
Detailed characterization of SPBC21B10.07's catalytic mechanisms
Identification of critical residues for substrate recognition and catalysis
Engineering altered specificity through targeted mutations
Comparison with other glycoside hydrolase family 31 enzymes to identify common features and unique adaptations
Integration of Glycan Processing with Cellular Metabolism:
Glycoprotein Quality Control Mechanisms:
If SPBC21B10.07 functions similarly to SpGIIα in N-glycan processing, research could illuminate quality control pathways
Understanding how glycosidases contribute to protein folding and secretion
Elucidating the relationship between N-glycan processing and ER-associated degradation (ERAD)
Development of Targeted Glycosidase Inhibitors:
Structure-based design of specific inhibitors for SPBC21B10.07
Potential applications in understanding glycobiology through chemical genetics
Comparison of inhibition profiles across related enzymes from different species
Through integrating multiple experimental approaches, including the newly available CRISPRi resources for S. pombe , research on SPBC21B10.07 can bridge fundamental enzymology and systems-level understanding of glycobiology, potentially yielding insights applicable to human health and disease.
When SPBC21B10.07 forms inclusion bodies during expression in E. coli, several strategies can be employed to improve soluble protein yield:
Optimize Expression Conditions:
Reduce expression temperature to 15-20°C
Lower inducer concentration (e.g., 0.1 mM IPTG instead of 1 mM)
Use rich media formulations (TB, 2xYT) with slower growth rates
Shorten induction time to prevent accumulation of misfolded protein
Modify Expression Constructs:
Test different fusion tags (MBP, SUMO, Trx) known to enhance solubility
Remove or modify domains that might contribute to aggregation
Design truncated constructs based on domain predictions
Codon-optimize the sequence for E. coli expression
Co-expression Strategies:
Co-express with molecular chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Include disulfide bond isomerases if the protein contains disulfide bonds
Solubilization and Refolding:
If inclusion bodies persist, develop a refolding protocol:
a. Isolate inclusion bodies through centrifugation and washing
b. Solubilize with chaotropic agents (6-8 M urea or 6 M guanidine HCl)
c. Perform step-wise dialysis to remove denaturant
d. Add stabilizing agents (glycerol, arginine, low concentrations of detergents)
e. Include redox pairs (GSH/GSSG) if disulfide bonds are present
Alternative Expression Systems:
Consider expression in yeast systems (S. cerevisiae, P. pastoris)
Insect cell expression using baculovirus
Cell-free protein synthesis systems
For SPBC21B10.07 specifically, the addition of 10% glycerol to buffers has been shown to enhance stability in similar S. pombe glycosidases , and this strategy might also help prevent aggregation during expression and purification.
When faced with contradictory results from SPBC21B10.07 studies in different genetic backgrounds, consider these methodological approaches:
Comprehensive Genetic Characterization:
Whole-genome sequencing of the strains to identify all genetic differences
Creation of isogenic strains differing only in the feature of interest
Construction of a strain panel with systematic genetic variations
Verification of genetic modifications through PCR, sequencing, or Southern blot
Quantitative Phenotypic Analysis:
Develop standardized assays with clear quantitative readouts
Perform replicate experiments with appropriate statistical analysis
Assess phenotypes under various growth conditions
Document precise experimental conditions and protocols
Epistasis Analysis:
Environmental Variable Testing:
Systematically vary temperature, media composition, pH, and osmolarity
Test responses to various stressors to unmask conditional phenotypes
Examine cell-cycle dependent effects
Consider chronological and replicative aging factors
Resolution Documentation:
This systematic approach helped researchers resolve apparently contradictory results in studying cytoplasmic freezing in S. pombe, where they noted: "Implications of the changing definition of CF on the perception of reproducibility" and developed methods to "quantitatively describe the cytoplasmic state of cells during starvation" .
Optimizing metabolomic analyses to study SPBC21B10.07's impact on cellular metabolism requires careful consideration of sample preparation, analytical methods, and data interpretation:
Sample Preparation Optimization:
Rapid quenching is essential to prevent metabolic changes during harvesting
Use cold glycerol-saline quenching solution (-20°C) as described in search result
Harvest cells at specific growth phases or time points after treatment
Include internal standards (e.g., ribitol) for normalization
Extract metabolites using appropriate solvents based on target metabolite classes
Analytical Method Selection:
Gas Chromatography-Mass Spectrometry (GC-MS) for volatile metabolites and those amenable to derivatization
Liquid Chromatography-Mass Spectrometry (LC-MS) for larger, non-volatile metabolites
Nuclear Magnetic Resonance (NMR) for structural confirmation and quantification
Consider untargeted approaches for discovery and targeted approaches for validation
Experimental Design Considerations:
Data Analysis and Interpretation:
Apply appropriate normalization methods (e.g., total ion current, internal standards)
Use multivariate statistical approaches (PCA, PLS-DA) to identify patterns
Perform pathway enrichment analysis to identify affected metabolic networks
Validate key findings with isotope labeling experiments
Integration with Other -Omics Data:
Combine metabolomics with transcriptomics and proteomics
Use systems biology approaches to model metabolic networks
Apply flux analysis to quantify changes in metabolic rates
Correlate metabolic changes with phenotypic observations
This comprehensive approach has been successfully applied in S. pombe research, where metabolic analyses with knockdown strains revealed "flexible interaction among metabolic pathways" , providing valuable insights into the complex relationships between genes and metabolism.
Several cutting-edge technologies are poised to revolutionize our understanding of SPBC21B10.07 and similar glycosidases:
AlphaFold and Structural Biology Integration:
AI-predicted protein structures can guide hypothesis generation
Integration with experimental structural biology techniques (X-ray crystallography, cryo-EM)
Molecular dynamics simulations based on accurate structures
Structure-guided enzyme engineering for altered specificity or enhanced stability
Single-Cell Technologies:
Single-cell transcriptomics to assess cell-to-cell variability in SPBC21B10.07 expression
Single-cell proteomics to correlate protein levels with phenotypes
Spatial transcriptomics to examine expression patterns in colony contexts
Microfluidics approaches for high-throughput single-cell phenotyping
Advanced Genome Editing:
Metabolic Flux Analysis:
13C metabolic flux analysis to quantify changes in pathway activities
Real-time metabolite sensors to monitor dynamic changes
Spatially resolved metabolomics to detect subcellular metabolite distributions
Integration with mathematical models for predictive understanding
Synthetic Biology Approaches:
Reconstitution of glycan processing pathways in minimal systems
Bottom-up construction of artificial glycosylation networks
Orthogonal translation systems for site-specific incorporation of unnatural amino acids
Cell-free systems for rapid prototyping of enzyme variants
These technologies, particularly when applied in combination, offer unprecedented opportunities to elucidate the precise role of SPBC21B10.07 in S. pombe metabolism and to translate these findings to broader glycobiological concepts.
Research on SPBC21B10.07 can provide valuable insights into human glycosidase-related disorders through several translational pathways:
Evolutionary Conservation and Functional Homology:
Structure-Function Relationships:
Detailed characterization of catalytic mechanisms and substrate specificity
Mapping of disease-associated mutations onto conserved domains
Investigation of how mutations affect enzyme stability and activity
Development of rescue strategies that might apply to human enzymes
Cellular Quality Control Mechanisms:
Understanding how glycosidase deficiencies affect protein folding and trafficking
Elucidation of compensatory mechanisms that cells employ when glycosidase function is compromised
Identification of stress responses triggered by altered glycan processing
Discovery of potential therapeutic targets in quality control pathways
Drug Discovery Platforms:
Development of high-throughput screening methods for glycosidase modulators
Structure-based design of specific inhibitors or activators
Identification of pharmacological chaperones to stabilize mutant enzymes
Validation of therapeutic strategies in a simplified model system
Systems-Level Understanding:
Mapping the broader metabolic consequences of glycosidase perturbation
Identification of biomarkers associated with altered glycan processing
Understanding the interplay between glycosylation and other cellular processes
Development of computational models to predict disease progression
By serving as a tractable model system, research on SPBC21B10.07 can accelerate our understanding of human disorders such as congenital disorders of glycosylation (CDGs) and lysosomal storage diseases, potentially leading to novel therapeutic approaches.