SPCC1020.11c is a protein-coding gene in Schizosaccharomyces pombe (fission yeast) with the UniProt ID O59764. It is annotated as a subunit of the ER membrane protein complex (EMC), specifically EMC6, which plays a critical role in membrane fluidity homeostasis and the biogenesis of membrane proteins . The EMC complex assists in the proper folding and localization of sterol transport proteins like Lam6/Ltc1, ensuring optimal ergosterol distribution and mitochondrial function .
Recent studies highlight SPCC1020.11c’s role in the EMC complex, which regulates ergosterol homeostasis and membrane fluidity . Key findings include:
EMC Deficiency Effects: Loss of EMC function causes mitochondrial aggregation, reduced mtDNA, and cold-sensitive growth due to rigid membranes .
Rescue Mechanisms: Membrane fluidization (e.g., using Tween 20) restores mitochondrial morphology and growth in EMC-deficient cells .
Interaction Network: SPCC1020.11c colocalizes with other EMC subunits (Emc3, Emc5) at the ER, forming a core structural unit critical for complex assembly .
Recombinant SPCC1020.11c is utilized to:
Study ER-membrane protein biogenesis and chaperone mechanisms.
Investigate mitochondrial dysfunction linked to membrane fluidity defects .
Develop models for human diseases associated with EMC orthologs (e.g., neurodegenerative disorders) .
| Vendor | Product Code | Expression System | Price Range* |
|---|---|---|---|
| Cusabio | CSB-MP528877SXV1 | Mammalian cells | Inquire for quote |
| GenScript | OSc99041 | E. coli | Customizable |
*Pricing details require direct inquiry.
While SPCC1020.11c remains annotated as "uncharacterized," its association with the EMC complex underscores its importance in lipid homeostasis and membrane biology. Ongoing research aims to:
KEGG: spo:SPCC1020.11c
STRING: 4896.SPCC1020.11c.1
SPCC1020.11c is a small membrane protein with the following properties:
Gene ID: 01/E12
ORF length (unspliced): 309 bp
No introns: 0
Amino acid length: 102 residues
Molecular weight: 11.6 kDa
Isoelectric point (calculated): 10.0
Signal sequence: Predicted at N-terminus
This basic profile indicates SPCC1020.11c is a small basic protein with multiple membrane-spanning regions, suggesting potential roles in membrane transport or signaling.
According to YFP-tagged localization studies, SPCC1020.11c is primarily localized to the endoplasmic reticulum (ER) . This ER localization suggests potential roles in:
Protein folding or quality control
Lipid metabolism
Calcium homeostasis
ER-associated degradation pathways
Researchers should consider these potential functions when designing experiments to characterize this protein.
While SPCC1020.11c remains uncharacterized, comparative analysis can provide insights:
Sequence-based approaches:
Structure prediction methods:
Apply modern deep learning approaches like AlphaFold to predict 3D structure
Compare predicted structural features with characterized membrane proteins of similar topology
A thorough comparative analysis should examine both sequence homology and predicted structural features to generate testable hypotheses about function.
Multiple expression systems can be considered based on research objectives:
| Expression System | Advantages | Disadvantages | Best For |
|---|---|---|---|
| E. coli | - Rapid growth - High yields - Inexpensive | - May misfold membrane proteins - Lacks eukaryotic PTMs | Initial structural studies |
| Yeast (S. cerevisiae) | - Native-like environment - Eukaryotic PTMs - Good for membrane proteins | - Lower yields than E. coli - Longer expression time | Functional studies requiring proper folding |
| Insect cells | - Advanced eukaryotic PTMs - Good for complex proteins | - Higher cost - Technical expertise required | Studies requiring complex PTMs |
| Mammalian cells | - Most authentic PTMs - Native-like membrane environment | - Highest cost - Lowest yields - Most technically demanding | Interaction studies with mammalian partners |
For SPCC1020.11c specifically, a yeast expression system may provide the best balance of authenticity and yield since it provides a native-like membrane environment while being relatively cost-effective .
Selection of appropriate fusion tags depends on experimental goals:
| Tag Type | Size | Benefits | Limitations | Recommended Use |
|---|---|---|---|---|
| His-Tag | 6-10 aa | - Small size - Metal affinity purification - Compatible with denaturing conditions | - May be buried in membrane proteins - Potential for non-specific binding | N-terminal tagging to preserve TM topology |
| FLAG Tag | 8 aa | - High specificity - Gentle elution conditions | - Lower binding capacity - More expensive resins | Western blotting and co-IP studies |
| MBP | 42.5 kDa | - Enhances solubility - One-step purification | - Large size affects structure - May interfere with function | Expression optimization studies |
| GFP | 27 kDa | - Direct visualization - Folding indicator | - Large size - May affect trafficking | Localization studies confirming ER targeting |
For SPCC1020.11c, considering its small size (102 aa), a dual-tagging approach with a small N-terminal His-tag for purification and C-terminal FLAG for detection might balance functionality and experimental utility .
A comprehensive approach to functional characterization would include:
Genetic approaches:
Generate knockout/knockdown strains using CRISPR-Cas9
Perform phenotypic analyses under various stress conditions
Conduct synthetic lethality screening with other ER proteins
Biochemical approaches:
Identify interacting partners using proximity labeling techniques (BioID, APEX)
Perform lipidomic analysis to detect alterations in membrane lipid composition
Investigate potential enzymatic activities through in vitro assays
Cell biological approaches:
Examine effects on ER morphology and function
Monitor calcium homeostasis and ER stress responses
Investigate protein trafficking through the secretory pathway
Each approach provides complementary information, and integration of multiple datasets is crucial for robust functional characterization.
Since SPCC1020.11c localizes to the ER , targeted experimental designs should include:
ER stress response analysis:
Treat cells with ER stressors (tunicamycin, DTT, thapsigargin)
Monitor UPR activation in wild-type vs. SPCC1020.11c mutants
Measure ER-associated degradation efficiency
Membrane integrity and lipid composition:
Analyze lipid composition in isolated ER fractions
Examine membrane fluidity using fluorescence anisotropy
Test integrity of the ER membrane under various stress conditions
Protein-protein interactions:
Implement split-GFP complementation with known ER proteins
Perform co-immunoprecipitation with tagged SPCC1020.11c
Use cross-linking mass spectrometry to identify proximal proteins
These approaches directly address SPCC1020.11c's potential functions within its native ER context.
Given S. pombe's importance as a model for cell cycle studies, researchers should consider:
Cell cycle-dependent expression analysis:
Monitor SPCC1020.11c levels throughout synchronized cell cycles
Determine if expression correlates with specific cell cycle phases
Investigate potential regulation by cell cycle-dependent kinases
Genetic interaction with cell cycle regulators:
Test for genetic interactions with key regulators like Cdc25, Cdc2, and Wee1
Examine phenotypes in combination with temperature-sensitive cell cycle mutants
Investigate potential roles in checkpoint regulation similar to other ER-resident proteins
ER-nucleus communication:
Investigate potential roles in signaling between ER and nucleus during cell cycle
Examine localization during mitosis when ER undergoes significant remodeling
S. pombe's well-characterized cell cycle machinery provides an excellent context for understanding SPCC1020.11c function in relation to cell division regulation .
Identifying orthologs requires sophisticated comparative genomics:
Sequence-based methods:
Structure-based approaches:
Compare predicted transmembrane topologies
Use threading algorithms to identify proteins with similar predicted folds
Search for proteins with similar domain organizations
Synteny analysis:
Examine conservation of genomic context around SPCC1020.11c
Identify conserved gene neighborhoods across fungal species
Use tools like SynFind or MCScanX for automated synteny detection
Combining these approaches increases confidence in ortholog identification, especially for divergent membrane proteins where sequence conservation may be limited.
As a small membrane protein with three transmembrane domains, SPCC1020.11c presents specific challenges:
Expression obstacles:
Protein misfolding and aggregation in non-native membranes
Toxicity to host cells if overexpressed
Proteolytic degradation due to improper membrane insertion
Purification challenges:
Detergent selection for efficient solubilization without denaturation
Low yields due to limited membrane protein expression
Maintaining stability during purification steps
Recommended solutions:
Test multiple detergents (DDM, LDAO, LMNG) for optimal solubilization
Use fusion partners like MBP to enhance folding and stability
Consider nanodiscs or styrene maleic acid lipid particles (SMALPs) for native-like environment
Implement mild solubilization conditions and rapid purification protocols
Each membrane protein requires empirical optimization of expression and purification conditions .
Validating native conformation is critical for functional studies:
Structural validation methods:
Circular dichroism spectroscopy to assess secondary structure content
Limited proteolysis to probe folding and accessibility
Thermal stability assays to compare wild-type and recombinant protein
Functional validation approaches:
Reconstitution into liposomes to test membrane integration
Binding assays with known ligands or interacting partners
In vitro activity assays based on predicted function
Cell-based validation:
Complementation of knockout phenotypes with recombinant protein
Subcellular localization matching native protein distribution
Protein-protein interaction profile comparison with endogenous protein
A combination of these approaches provides confidence that recombinant SPCC1020.11c maintains its physiologically relevant conformation.
S. pombe is a model organism for studying mating-type switching, a complex process involving programmed gene conversion events . Although direct evidence linking SPCC1020.11c to this process is lacking, potential connections could be investigated:
Expression analysis:
Compare SPCC1020.11c expression levels between different mating types
Monitor expression during mating and sporulation
Examine regulation by mating-type specific transcription factors
Functional investigations:
Test if SPCC1020.11c deletion affects conjugation efficiency
Examine potential roles in pheromone sensing or response
Investigate genetic interactions with known mating-type regulators
ER-related mating functions:
Investigate potential roles in pheromone processing or secretion
Examine involvement in cell wall remodeling during conjugation
Test for functions in nuclear envelope dynamics during mating
The well-characterized mating pathway in S. pombe provides an excellent experimental system for investigating potential roles of uncharacterized proteins like SPCC1020.11c.
Several emerging technologies could significantly advance understanding of SPCC1020.11c:
Advanced imaging approaches:
Super-resolution microscopy to precisely localize within ER subdomains
Live-cell single-molecule tracking to monitor dynamics and interactions
Correlative light and electron microscopy for ultrastructural context
Proteomics innovations:
Proximity labeling (BioID, TurboID) to identify interaction networks
Hydrogen-deuterium exchange mass spectrometry for conformational analysis
Cross-linking mass spectrometry to map interaction interfaces
Functional genomics:
CRISPRi/CRISPRa for titrated expression modulation
Perturb-seq for high-throughput phenotypic profiling
Synthetic genetic array analysis for comprehensive genetic interaction mapping
Structural biology:
Cryo-EM for membrane protein structure determination
Integrative structural modeling combining multiple experimental data types
In-cell NMR for structural analysis in native environments
Integration of these cutting-edge approaches would provide unprecedented insights into SPCC1020.11c function.