KEGG: spo:SPCC1235.11
STRING: 4896.SPCC1235.11.1
Recombinant Schizosaccharomyces pombe UPF0041 protein C1235.11 (SPCC1235.11) is a full-length protein (141 amino acids) also known as MPC1 (Mitochondrial Pyruvate Carrier 1). The protein is typically produced as a recombinant construct with an N-terminal His-tag expressed in E. coli expression systems. The complete amino acid sequence is: MNASEKLSQKAAQSVTRRFITWLKSPDFRKYLCSTHFWGPLSNFGIPIAAILDLKKDPRLISGRMTGALILYSSVFMRYAWMVSPRNYLLLGCHAFNTTVQTAQGIRFVNFWYGKEGASKQSVFENIMQAAKHPESGTRQK .
To maintain stability and activity of the recombinant protein, store the lyophilized powder at -20°C to -80°C upon receipt. After reconstitution, working aliquots can be kept at 4°C for up to one week, but repeated freeze-thaw cycles should be avoided as they can compromise protein integrity. For long-term storage, it is recommended to add glycerol to a final concentration of 5-50% (with 50% being standard) and store aliquots at -20°C or -80°C . This approach helps prevent structural damage from ice crystal formation during freeze-thaw cycles.
The recommended reconstitution protocol involves:
Brief centrifugation of the vial before opening to bring contents to the bottom
Reconstitution in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Addition of glycerol to 5-50% final concentration for samples intended for long-term storage
Gentle mixing without vigorous shaking to prevent protein denaturation
The protein is supplied in a Tris/PBS-based buffer with 6% Trehalose at pH 8.0, which helps maintain stability during the lyophilization process .
When designing experiments to study MPC1 function in S. pombe, follow these methodological steps:
Hypothesis formulation: Based on MPC1's predicted role as a mitochondrial pyruvate carrier, formulate testable hypotheses about its function in cellular metabolism.
Control selection: Include appropriate controls in your experimental design:
Wild-type S. pombe strains
MPC1 knockout strains
Strains expressing mutant versions of MPC1
Variable isolation: Follow the experimental method principle of isolating causes by manipulating a single variable at a time while keeping others constant2.
Phenotypic assessment: Measure growth rates, mitochondrial function, and metabolic profiles under different conditions (e.g., carbon sources, stress conditions).
Validation: Confirm findings through complementation studies using the recombinant protein to rescue knockout phenotypes.
Several techniques can be employed to study protein-protein interactions involving MPC1:
Basic approaches:
Co-immunoprecipitation using the His-tag
Yeast two-hybrid screening
Proximity labeling methods
Advanced approaches:
Chromatin immunoprecipitation (ChIP) when studying potential chromatin associations
Mass spectrometry following pull-down experiments
Fluorescence resonance energy transfer (FRET) with fluorescently tagged MPC1
For ChIP experiments, consider using antibodies against the His-tag or specific MPC1 epitopes. The approach used for histone modification studies in S. pombe can be adapted, where ChIP DNA is labeled with fluorescent dyes (Cy3/Cy5) and hybridized to microarrays . This methodology allows for genome-wide mapping of protein interactions and has been successfully applied in S. pombe with correlation coefficients of 0.8-0.9 between replicate experiments .
Genome-wide approaches offer powerful tools for understanding MPC1 function within the broader cellular context:
Expression profiling: Compare gene expression between wild-type and MPC1 mutant strains using cDNA microarrays or RNA-seq. This reveals genes that are differentially expressed when MPC1 function is altered.
ChIP-seq analysis: If MPC1 has potential chromatin associations, perform ChIP-seq using tagged MPC1 to identify genomic binding sites. This approach has been successfully used for other proteins in S. pombe with high statistical significance (P-values as low as 2.95E-240 for overlapping binding sites) .
Chromatin structure analysis: Investigate if MPC1 affects nucleosome density or histone modifications using methods similar to those described for histone H3 C-terminal region (H3 cter) antibody studies .
Metabolomic profiling: Combine genomic approaches with metabolomic analysis to correlate gene expression changes with metabolic alterations in MPC1 mutants.
Statistical analysis: Apply hypergeometric distribution tests to identify significant overlaps between different datasets, as demonstrated in previous S. pombe studies where P-values of 2.1E-4 indicated significant associations .
| Analysis Type | Technique | Expected Output | Statistical Test |
|---|---|---|---|
| Transcriptome | RNA-seq | Differentially expressed genes | Hypergeometric test |
| Protein Binding | ChIP-seq | Genomic binding sites | Median percentile ranking |
| Metabolome | LC-MS/MS | Altered metabolite profiles | ANOVA |
| Interactome | IP-MS | Protein interaction partners | Significance analysis of interactome |
When facing contradictory experimental results regarding MPC1 function, consider these methodological approaches:
Strain background verification: Ensure experiments use isogenic strains to eliminate genetic background as a variable. In S. pombe studies, backcrossing mutant alleles with standard laboratory strains (e.g., 972 h-) has been used to ensure isogenic backgrounds .
Growth condition standardization: Standardize growth conditions (medium composition, growth phase, cell density) across experiments. Previous studies show that different growth media (minimal vs. YES medium) can affect experimental outcomes while still maintaining significant overlaps in results (P = 2.82E-108) .
Validation with multiple techniques: Confirm findings using orthogonal methods:
Genetic: Gene deletion, point mutations, complementation
Biochemical: In vitro activity assays, structural studies
Cellular: Localization, interaction studies
Control for technical variability: Implement technical controls such as dye-swap in microarray experiments to address potential biases. Previous S. pombe studies achieved correlation coefficients of 0.8-0.9 using such controls .
Meta-analysis: Integrate data from multiple experiments using statistical methods to identify consistent patterns despite variations in individual experiments.
Common challenges when working with recombinant S. pombe proteins include:
Protein solubility issues:
Challenge: The recombinant protein may form inclusion bodies or aggregate.
Solution: Optimize expression conditions (temperature, IPTG concentration), use solubility tags, or explore alternative expression systems.
Protein activity loss:
Contamination with host proteins:
Challenge: Co-purification of E. coli proteins with the target.
Solution: Implement additional purification steps, optimize imidazole concentrations during His-tag purification, or consider orthogonal purification strategies.
Post-translational modification differences:
Challenge: E. coli-expressed proteins lack eukaryotic modifications present in native S. pombe.
Solution: Consider eukaryotic expression systems for studies where post-translational modifications are critical.
Experimental reproducibility:
To effectively use recombinant MPC1 protein in functional complementation studies:
Delivery method selection:
For in vitro studies: Direct addition to permeabilized cells or isolated mitochondria
For in vivo studies: Consider protein transfection reagents or expression constructs
Concentration optimization:
Functional readouts:
Establish clear metrics for successful complementation
Consider metabolic assays focused on pyruvate metabolism
Measure mitochondrial function parameters (membrane potential, respiration)
Positive and negative controls:
Include wild-type protein as positive control
Use denatured protein or buffer-only treatments as negative controls
Consider partial function mutants as intermediate controls
Verification of protein internalization:
Use fluorescently labeled protein to track cellular uptake
Perform subcellular fractionation to confirm mitochondrial localization
Understanding the evolutionary conservation and divergence of MPC1 function requires comparative analysis:
Sequence conservation analysis:
Align S. pombe MPC1 (141 aa) with homologs from other species
Identify conserved domains and species-specific variations
Map functional motifs to the 3D structure if available
Functional complementation across species:
Expression pattern comparison:
Compare tissue/condition-specific expression patterns between species
Identify conserved and divergent regulatory mechanisms
Protein interaction network analysis:
Compare MPC1 interaction partners across species
Identify conserved core interactions versus species-specific ones
| Species | Protein Name/ID | Available Format | Sequence Identity to S. pombe MPC1 |
|---|---|---|---|
| Human | MPC1 | His & GST-tagged | To be determined by alignment |
| Mouse | MPC1 | His (Fc)-Avi-tagged | To be determined by alignment |
| Rat | MPC1 | His (Fc)-Avi-tagged | To be determined by alignment |
| Chicken | MPC1 | Recombinant | To be determined by alignment |
| Bovine | BRP44L (MPC1) | His-Tagged | To be determined by alignment |
Several cutting-edge approaches could significantly advance MPC1 research:
CRISPR-based techniques:
Generate precise point mutations to map functional domains
Create conditional knockouts to study temporal aspects of MPC1 function
Implement CRISPRi/CRISPRa for tunable expression control
Single-cell analysis:
Investigate cell-to-cell variability in MPC1 expression and function
Combine with metabolic profiling to correlate MPC1 levels with metabolic states
Structural biology approaches:
Determine the 3D structure of S. pombe MPC1 using crystallography or cryo-EM
Study conformational changes during substrate transport
Perform in silico docking studies to predict interactions with small molecules
Systems biology integration:
Construct comprehensive models incorporating transcriptomic, proteomic, and metabolomic data
Predict system-wide effects of MPC1 perturbation
Validate model predictions with targeted experiments
Live-cell imaging techniques:
Track MPC1 dynamics in living cells using fluorescent protein fusions
Measure mitochondrial pyruvate transport in real-time
Correlate MPC1 localization with mitochondrial function parameters