Sequence Length: 1–317 amino acids (full-length or partial variants)
Amino Acid Sequence:
MQKDKFGPCAPSRIPLLSNDLISMLSGGVAATVSRTAVSPLERMKIIFQVQNNK... (truncated; see for full sequence)
SPAPB17E12.12c belongs to the MCS, which facilitates the transport of metabolites (e.g., amino acids, nucleotides) across mitochondrial membranes . Key features:
Transport Mechanism: Predicted to use a conserved "gated pore" structure involving salt-bridge networks .
Functional Redundancy: Overlaps with canonical SLC25 carriers like aspartate-glutamate carriers (AGC1/AGC2) .
While uncharacterized, its homology to SLC25 carriers suggests potential roles in:
KEGG: spo:SPAPB17E12.12c
STRING: 4896.SPAPB17E12.12c.1
The recombinant protein should be stored at -20°C in its shipping buffer (Tris-based buffer with 50% glycerol). For extended storage periods, maintaining the protein at -80°C is recommended. Working aliquots can be kept at 4°C for up to one week, but repeated freeze-thaw cycles should be strictly avoided as they lead to protein degradation and loss of activity .
To maximize protein stability, consider these evidence-based protocols:
| Storage Condition | Temperature | Maximum Duration | Expected Stability |
|---|---|---|---|
| Stock solution | -80°C | 12+ months | >95% |
| Working aliquots | -20°C | 3-6 months | >90% |
| Active experiments | 4°C | 1 week | >85% |
When preparing working aliquots, use small volumes (10-50 μL) to minimize freeze-thaw cycles and maintain protein integrity.
PB17E12.12c is classified as an uncharacterized mitochondrial carrier protein consisting of 317 amino acids. The full amino acid sequence is available (UniProt: Q8TFH2) and shows characteristic features of the mitochondrial carrier protein family . The protein contains the signature mitochondrial carrier domains that typically form six transmembrane regions.
The protein's sequence contains a relatively high proportion of hydrophobic amino acids, consistent with its predicted membrane localization. While the exact three-dimensional structure remains unsolved, computational modeling suggests it follows the standard tripartite structure common to mitochondrial carrier proteins with three similar domains each containing two transmembrane helices.
S. pombe serves as an excellent model for mitochondrial research due to several key similarities with human cells:
Mitochondrial inheritance and transport mechanisms closely resemble those in human cells
Both demonstrate the petite-negative phenotype (dependence on functional mitochondria for viability)
Transcription of the mitochondrial genome produces polycistronic transcripts processed via the tRNA punctuation model, similar to human mitochondrial gene expression
These similarities make findings in S. pombe highly relevant to understanding human mitochondrial function, particularly for carrier proteins that are evolutionarily conserved across eukaryotes .
For isolating native PB17E12.12c from S. pombe, a combination of differential centrifugation and affinity chromatography yields the best results. The procedure should be conducted at 4°C to preserve protein integrity.
Step-by-step methodology:
Cell lysis: Harvest S. pombe cells in mid-log phase and disrupt using glass beads in a buffer containing 250 mM sucrose, 10 mM HEPES-KOH (pH 7.4), 1 mM EDTA, and protease inhibitors.
Mitochondrial isolation: Perform differential centrifugation (1,500g for 5 min to remove cellular debris, followed by 12,000g for 15 min to pellet mitochondria).
Membrane protein extraction: Solubilize mitochondrial membranes using 1% digitonin or 0.5% n-dodecyl-β-D-maltoside in extraction buffer.
Affinity purification: For tagged versions of the protein, use appropriate affinity resins. For native protein, immunoprecipitation with specific antibodies can be employed.
Size exclusion chromatography: As a final purification step to obtain homogeneous protein preparations.
This methodology preserves protein-protein interactions and post-translational modifications that may be lost in recombinant expression systems.
The genetic manipulation of PB17E12.12c in S. pombe can be achieved through several approaches:
Knockout strategy:
Use homologous recombination with a deletion cassette containing a selectable marker (e.g., kanMX6 for G418 resistance) flanked by sequences homologous to regions upstream and downstream of the SPAPB17E12.12c gene.
Transform the deletion cassette into S. pombe using lithium acetate method.
Select transformants on media containing the appropriate antibiotic.
Confirm gene deletion by PCR and Southern blotting.
Overexpression strategy:
Clone the SPAPB17E12.12c coding sequence into an expression vector with a strong promoter (e.g., nmt1 promoter in pREP vectors).
The nmt1 promoter is thiamine-repressible, allowing for controlled expression levels.
Include epitope tags (HA, Myc, GFP) for detection and localization studies.
Transform into S. pombe and select on appropriate media.
CRISPR-Cas9 approach:
Recent advances allow for CRISPR-Cas9 genome editing in S. pombe, which can be used for precise modifications:
Design guide RNAs targeting the SPAPB17E12.12c locus.
Co-transform with Cas9 expression plasmid and repair template.
Screen transformants for successful editing events.
These genetic tools enable comprehensive functional analysis of PB17E12.12c in its native cellular context.
When studying the potential role of PB17E12.12c in translational regulation, several controls are essential:
Positive controls:
Known translational regulators in S. pombe (e.g., eIF4E, eIF4G proteins) that show clear phenotypes when manipulated
mRNAs with established translational regulation patterns under stress conditions
Negative controls:
Housekeeping genes with stable translation efficiency across conditions
Mitochondrial proteins unrelated to translation
Cytosolic carriers with similar structure but different localization
Experimental controls:
Wild-type strains subjected to identical conditions
Time-course analyses to distinguish between primary and secondary effects
Translational efficiency measurements using polysome profiling alongside total mRNA quantification to differentiate translational from transcriptional effects
Parallel analysis of protein levels using Western blotting
For polysome profiling experiments in particular, compare the distribution of PB17E12.12c mRNA across non-polysomal, light polysomal, and heavy polysomal fractions under various stress conditions (heat shock, oxidative stress) as these have been shown to trigger significant translational reprogramming in S. pombe .
To investigate stress-induced translational regulation of PB17E12.12c, implement the following comprehensive approach:
Polysome profiling methodology:
Culture S. pombe cells to mid-log phase and expose to relevant stressors (heat shock at 42°C, oxidative stress with 0.5 mM H₂O₂, or nutrient limitation)
Harvest cells at multiple time points (5, 15, 30, 60 minutes) after stress induction
Treat with cycloheximide to freeze ribosomes on mRNAs
Prepare cell lysates and fractionate over 10-50% sucrose gradients
Collect fractions while monitoring absorbance at 254 nm
Extract RNA from individual fractions
Quantify PB17E12.12c mRNA in each fraction using RT-qPCR
Translational efficiency calculation:
Determine translational efficiency (TE) using the formula:
TE = (Signal in polysomal fractions) / (Signal in total mRNA)
Compare these values between stressed and unstressed conditions. Significant changes in TE without proportional changes in total mRNA levels would indicate translational regulation .
Ribosome profiling:
For higher resolution analysis, implement ribosome profiling:
Isolate ribosome-protected fragments (RPFs) from stressed and unstressed cells
Prepare libraries for deep sequencing
Calculate the translational efficiency as the ratio of RPFs to mRNA abundance
Analyze ribosome occupancy patterns across the PB17E12.12c coding sequence
This would reveal potential regulatory elements within the mRNA sequence and identify precise sites of translational control.
Characterizing the protein-protein interaction network of PB17E12.12c requires multiple complementary approaches:
Affinity purification-mass spectrometry (AP-MS):
Express epitope-tagged PB17E12.12c in S. pombe
Isolate mitochondria and solubilize membranes with mild detergents
Perform immunoprecipitation using antibodies against the tag
Analyze co-purifying proteins by mass spectrometry
Validate interactions using reciprocal pulldowns
Proximity-based labeling:
Fuse PB17E12.12c to a promiscuous biotin ligase (BioID) or peroxidase (APEX)
Express the fusion protein in S. pombe
Provide biotin substrate to label proteins in close proximity
Isolate biotinylated proteins using streptavidin affinity purification
Identify labeled proteins by mass spectrometry
Crosslinking mass spectrometry (XL-MS):
Treat isolated mitochondria with chemical crosslinkers
Digest proteins and enrich for crosslinked peptides
Analyze by mass spectrometry to identify interaction interfaces
Functional validation experiments:
Genetic interaction screens using synthetic genetic array (SGA) methodology
Co-fractionation studies during mitochondrial purification
In vitro reconstitution of key interactions in liposomes
| Approach | Advantages | Limitations | Best For |
|---|---|---|---|
| AP-MS | High specificity, established protocols | May lose weak/transient interactions | Stable complex identification |
| Proximity labeling | Captures transient interactions, works in native context | Potential false positives from spatial proximity | In situ interaction mapping |
| XL-MS | Provides structural information, captures direct contacts | Complex data analysis, limited crosslinking distance | Interaction interface mapping |
These approaches should be integrated to build a comprehensive interactome map for PB17E12.12c.
To evaluate the functional significance of PB17E12.12c in mitochondrial translation and OXPHOS complex assembly, implement this multifaceted research strategy:
Mitochondrial translation assessment:
Perform in organello translation assays using isolated mitochondria from wild-type and PB17E12.12c-deleted strains
Label newly synthesized mitochondrial proteins with 35S-methionine
Analyze protein synthesis rates by SDS-PAGE and autoradiography
Quantify translation efficiency for individual mitochondrially-encoded proteins
OXPHOS complex analysis:
Isolate mitochondria from wild-type and mutant strains
Analyze respiratory chain complexes by Blue Native PAGE
Measure complex assembly and stability through Western blotting
Perform in-gel activity assays for individual complexes
Functional respiratory measurements:
Assess oxygen consumption rates using high-resolution respirometry
Measure mitochondrial membrane potential using potentiometric dyes
Evaluate ATP production capacity in isolated mitochondria
Perform growth tests on fermentable vs. non-fermentable carbon sources
Metabolomic analysis:
Profile mitochondrial metabolites using LC-MS/MS
Quantify changes in TCA cycle intermediates
Analyze metabolic flux using 13C-labeled substrates
If PB17E12.12c functions as a mitochondrial carrier, substrate transport assays using reconstituted protein in liposomes would be crucial to identify its specific transport substrates and kinetic parameters. This would connect its molecular function to the observed cellular phenotypes.
The study of PB17E12.12c has significant implications for human mitochondrial disease research due to the conservation of mitochondrial expression systems between S. pombe and humans :
Translational relevance:
The machinery for mitochondrial gene expression is structurally and functionally conserved between fission yeast and humans
Mitochondrial carriers frequently have human orthologs with similar functions
Mutations in mitochondrial carrier proteins are implicated in numerous human diseases
Potential disease connections:
If PB17E12.12c is involved in mitochondrial translation or metabolite transport, its human ortholog could be relevant to conditions such as:
Combined oxidative phosphorylation deficiency disorders
Mitochondrial translation defects
Metabolic disorders affecting energy production
Research pathways:
Identify the human ortholog through sequence homology and functional complementation studies
Examine whether patient mutations in the orthologous gene affect similar pathways
Establish whether the pathogenesis of specific mitochondrial diseases involves disruption of the processes regulated by PB17E12.12c
Develop S. pombe as a model system to screen potential therapeutic compounds targeting these pathways
The petite-negative phenotype of S. pombe makes it particularly relevant for studying essential mitochondrial functions that cannot be easily investigated in budding yeast (S. cerevisiae), which can survive without functional mitochondria .
High-throughput strategies to investigate PB17E12.12c's role in global translational responses include:
Integrative omics approach:
Ribosome profiling: Implement deep sequencing of ribosome-protected fragments in wild-type vs. PB17E12.12c mutant strains under various stress conditions. This provides genome-wide translational efficiency data at nucleotide resolution .
Polysome profiling coupled with RNA-seq: Sequence mRNAs associated with different polysome fractions to identify transcripts whose translation is differentially affected by PB17E12.12c deletion.
Proteomics time-course: Perform quantitative proteomics at multiple time points after stress induction to correlate translational and post-translational effects.
Bioinformatic integration: Develop computational pipelines to integrate these datasets and identify:
Transcripts whose translation is specifically affected by PB17E12.12c
Sequence features associated with PB17E12.12c-dependent regulation
Temporal dynamics of the translational response
CRISPR screening approach:
Generate a genome-wide CRISPR library in both wild-type and PB17E12.12c-mutant backgrounds
Subject cells to various stresses and identify genetic interactions
Identify pathways that become essential in the absence of PB17E12.12c
This multiomics approach would reveal not only the direct role of PB17E12.12c in translational regulation but also its position within the broader stress response network .
Understanding the structural dynamics of PB17E12.12c during substrate transport requires state-of-the-art methodologies:
Cryo-electron microscopy (Cryo-EM):
Purify PB17E12.12c to high homogeneity in various functional states (substrate-free, substrate-bound, transport intermediate)
Perform single-particle cryo-EM analysis to determine structures at near-atomic resolution
Generate computational models of the transport cycle
Single-molecule FRET:
Introduce fluorescent probes at strategic positions within the protein
Monitor conformational changes during substrate binding and transport in real-time
Determine the kinetics and conformational states of the transport cycle
Molecular dynamics simulations:
Use experimental structures as starting points for simulations
Model membrane environment and substrate interactions
Simulate the complete transport process to identify key residues and conformational transitions
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Monitor protein dynamics in different functional states
Identify regions with altered solvent accessibility during the transport cycle
Map conformational changes to functional domains
In silico substrate docking and transport pathway identification:
Perform computational docking of potential substrates
Identify substrate binding residues and transport pathway
Guide mutagenesis experiments to validate the mechanism
These approaches would provide unprecedented insights into the structural basis of substrate recognition, binding, and translocation by this mitochondrial carrier protein, potentially revealing conserved mechanisms applicable to the broader mitochondrial carrier family.
Membrane proteins like PB17E12.12c present specific challenges during recombinant expression and purification. Here are common issues and their solutions:
Low expression levels:
Challenge: Mitochondrial membrane proteins often express poorly in heterologous systems.
Solutions:
Test multiple expression systems (E. coli, yeast, insect cells)
Optimize codon usage for the expression host
Use specialized strains (e.g., C41/C43 for E. coli)
Employ fusion partners (MBP, SUMO) to enhance solubility
Implement inducible promoters with fine-tuned expression levels
Protein aggregation:
Challenge: Hydrophobic regions can cause aggregation during extraction.
Solutions:
Screen multiple detergents (DDM, LMNG, GDN) at various concentrations
Include stabilizing agents (glycerol, specific lipids) in purification buffers
Reduce extraction temperature to 4°C
Consider styrene-maleic acid (SMA) copolymers for native nanodiscs
Purification troubleshooting guide:
| Issue | Indicators | Solutions |
|---|---|---|
| Proteolysis | Multiple bands on SDS-PAGE | Add protease inhibitors, reduce purification time |
| Low binding to affinity resin | Poor yield in elution fractions | Optimize tag position, adjust buffer conditions |
| Detergent-induced instability | Precipitation during concentration | Screen detergents, add stabilizing lipids |
| Oligomerization state variability | Multiple peaks in size exclusion | Adjust detergent:protein ratio, add specific lipids |
Quality control checkpoints:
Test protein homogeneity by analytical size exclusion chromatography
Assess secondary structure integrity by circular dichroism
Verify functional activity through substrate binding or transport assays
Confirm correct folding through limited proteolysis experiments
These optimizations are critical for obtaining sufficient quantities of properly folded, functional protein for downstream structural and functional studies.
Studying translational regulation of low-abundance transcripts like PB17E12.12c presents significant technical challenges. Here are effective strategies to overcome these limitations:
Enhanced detection methods:
Targeted RNA-seq: Focus sequencing depth on specific genes of interest rather than global profiling
Transcript-specific amplification: Use targeted pre-amplification before polysome profiling
Single-molecule FISH: Visualize individual mRNA molecules and their association with ribosomes in situ
Nanopore direct RNA sequencing: Detect native transcripts without amplification bias
Enrichment strategies:
TRAP (Translating Ribosome Affinity Purification):
Express tagged ribosomal proteins in S. pombe
Immunoprecipitate ribosomes and associated mRNAs
Analyze PB17E12.12c mRNA enrichment in the ribosome-associated fraction
SUnSET method adaptation:
Pulse-label nascent proteins with puromycin
Immunoprecipitate PB17E12.12c protein
Quantify puromycin incorporation as a direct measure of translation
Sensitive quantification techniques:
Droplet digital PCR (ddPCR) for absolute quantification of low-abundance transcripts
Proximity ligation assay (PLA) to detect interactions between PB17E12.12c mRNA and translation factors
Enzyme-linked immunosorbent assay (ELISA) with amplification steps for protein quantification
Overcoming polysome profiling limitations:
Increase starting material (scale up culture volumes)
Optimize lysis conditions specifically for mitochondrial membrane-associated mRNAs
Include spike-in controls to normalize for technical variation
Employ ribo-depletion strategies to enrich for low-abundance transcripts
By implementing these advanced methodologies, researchers can overcome the technical challenges associated with studying translational regulation of low-abundance transcripts like PB17E12.12c that might play important roles in mitochondrial function .
The most promising research directions for PB17E12.12c involve integrating multiple approaches to determine its precise function and translational relevance:
Fundamental characterization priorities:
Substrate identification through transport assays, metabolomics, and computational modeling
High-resolution structural determination to understand transport mechanisms
Comprehensive interactome mapping to place it within the mitochondrial functional network
Investigation of regulatory mechanisms controlling its expression and activity during stress conditions
Translational research opportunities:
Identification and characterization of human orthologs through phylogenetic analysis
Development of S. pombe disease models incorporating human patient mutations
Investigation of PB17E12.12c's role in maintaining mitochondrial translation fidelity, which may have implications for mitochondrial diseases
Exploration of potential stress-protective functions that might be exploited therapeutically
Emerging technical approaches:
Implementation of spatial transcriptomics to understand the subcellular localization of PB17E12.12c mRNA translation
Development of mitochondria-specific translation reporter systems
Application of AlphaFold and related AI tools to model structural interactions
Integration of multi-omics data through systems biology approaches