The SPBC1703.09 protein is annotated in the Schizosaccharomyces pombe (fission yeast) genome as a mitochondrial component. While its exact function remains uncharacterized, mitochondrial proteins often play roles in:
Energy production (e.g., TCA cycle, oxidative phosphorylation).
Quality control mechanisms (e.g., mitochondrial dynamics, proteostasis).
Regulation of apoptosis via mitochondrial pathways.
The antibody’s specificity for this protein positions it as a tool for studying mitochondrial function in yeast models, which are commonly used to elucidate conserved eukaryotic cellular processes.
While THE BioTek has not published explicit application data for SPBC1703.09 Antibody, its design suggests suitability for:
Western Blotting (WB): Detecting mitochondrial protein abundance.
Immunoprecipitation (IP): Isolating SPBC1703.09 for interactome studies.
Immunofluorescence (IF): Localizing mitochondrial structures in yeast cells.
Mitochondrial Research Context:
Fission yeast (S. pombe) is a model organism for studying mitochondrial dynamics, a process critical for cellular health and disease. Antibodies targeting mitochondrial proteins like SPBC1703.09 could aid in elucidating mechanisms of mitochondrial fragmentation/fusion, which are implicated in neurodegenerative diseases (e.g., Parkinson’s) and cancer.
THE BioTek, headquartered in El Segundo, California, specializes in producing recombinant proteins and antibodies for research. Their portfolio includes growth factors, viral antigens, and enzymes, with a focus on immunology and neurobiology. The company offers custom antibody services, including DNA cloning and protein expression, aligning with the made-to-order nature of SPBC1703.09 Antibody.
Current data on SPBC1703.09 is limited to its annotation in yeast genome databases and THE BioTek’s product specifications. To validate its utility, researchers would need to:
Confirm cross-reactivity with homologous proteins in other species.
Optimize dilutions for specific assays (e.g., 1:1,000–1:5,000 for WB).
Assess specificity through knockdown or knockout experiments in S. pombe.
KEGG: spo:SPBC1703.09
SPBC1703.09 is an uncharacterized protein in Schizosaccharomyces pombe (fission yeast), classified as a "sequence orphan" with no well-defined function . Antibodies against this protein serve as critical tools for investigating its expression, localization, and potential interactions in basic fission yeast research.
Studying uncharacterized proteins like SPBC1703.09 is essential for:
Completing the functional annotation of the S. pombe proteome
Discovering novel components in cellular pathways
Understanding protein evolution across fungal species
Identifying potential targets for antifungal therapeutics
Research on similar uncharacterized fission yeast proteins has revealed unexpected roles in fundamental processes such as cell division, energy metabolism, and stress response mechanisms . Given that fission yeast is an important model organism with high conservation of cellular processes with human cells, characterizing SPBC1703.09 may provide insights relevant to human biology.
Before using SPBC1703.09 antibody, comprehensive validation is essential to ensure reproducible results. According to the International Working Group for Antibody Validation, researchers should implement several of these "five pillars" of antibody characterization :
Genetic validation strategy:
Test antibody reactivity in wild-type S. pombe versus SPBC1703.09 knockout strains
The signal should be present in wild-type cells and absent in knockout cells
Orthogonal validation strategy:
Compare antibody-dependent detection with antibody-independent methods (e.g., mass spectrometry)
Confirm expression with tagged SPBC1703.09 constructs or RNA quantification
Multiple antibody validation strategy:
Compare results using different antibodies against SPBC1703.09 (if available)
Antibodies targeting different epitopes should yield consistent results
Recombinant expression validation:
Test reactivity in cells overexpressing SPBC1703.09
Verify increased signal correlating with protein overexpression
Immunocapture MS strategy:
Immunoprecipitate using the antibody and identify captured proteins by mass spectrometry
Confirm specific enrichment of SPBC1703.09
According to recent studies, genetic strategies using knockout controls provide the most reliable validation, with 89% of antibodies validated by genetic approaches successfully detecting their targets, compared to 80% for orthogonal approaches .
Based on available information, the SPBC1703.09 antibody has been validated for specific applications:
For applications not specifically validated, researchers should perform their own validation experiments before proceeding with full studies. Depending on the intended application, additional optimization may be required to achieve optimal performance in fission yeast systems.
Robust controls are essential for reliable Western blot experiments using SPBC1703.09 antibody:
Positive controls:
Lysate from wild-type S. pombe cells expressing SPBC1703.09
Recombinant SPBC1703.09 protein (if available)
Cells overexpressing tagged versions of SPBC1703.09
Negative controls:
Lysate from SPBC1703.09 knockout strains (critical for specificity validation)
Pre-immune serum control (for polyclonal antibodies)
Secondary antibody-only control to detect non-specific binding
Loading controls:
Probing for housekeeping proteins (e.g., actin, tubulin)
Total protein staining methods (e.g., Ponceau S)
Consider normalization to total protein rather than single reference proteins
Specificity controls:
Peptide competition assay where the antibody is pre-incubated with the immunizing peptide
Testing the antibody on related Schizosaccharomyces species to assess cross-reactivity
Recent publications emphasize that knockout controls provide the highest confidence in antibody specificity . Given that many commercial antibodies show inconsistent performance, proper controls are critical for ensuring reproducible results.
Cross-reactivity is a significant challenge, particularly with antibodies targeting previously uncharacterized proteins. For SPBC1703.09 antibody, researchers can employ several strategies:
Identification strategies:
Comprehensive proteome analysis:
Perform immunoprecipitation followed by mass spectrometry
Compare identified proteins with expected targets to determine cross-reactive proteins
Genetic approach:
Test antibody reactivity in SPBC1703.09 knockout strains
Any remaining signal indicates cross-reactivity with other proteins
Sequence homology analysis:
Identify S. pombe proteins with sequence similarity to SPBC1703.09
Test antibody reactivity against these potential cross-reactive proteins
Mitigation approaches:
Antibody purification:
Pre-clear antibody using lysates from SPBC1703.09 knockout cells
Adsorb cross-reactive antibodies against unique epitopes
Epitope-specific antibodies:
Use antibodies raised against unique regions with minimal homology to other proteins
Consider custom antibody generation against specific unique epitopes
Validation in multiple assays:
Confirm results using orthogonal techniques (e.g., WB, IF, MS)
Consistent protein size, localization, and behavior increase confidence
Standardization of protocols:
Optimize protein extraction, blocking, and washing steps to minimize non-specific binding
Document optimal conditions that maximize signal-to-noise ratio
Recent studies highlight that approximately 50% of commercial antibodies fail to meet basic standards for characterization, resulting in billions of dollars in wasted research funding . Thorough validation using genetic controls is therefore essential.
Detecting low-abundance proteins like SPBC1703.09 can be challenging, particularly if it's expressed at low levels or in specific cellular contexts. Several techniques can enhance sensitivity:
Protein enrichment strategies:
Subcellular fractionation:
Isolate cellular compartments where SPBC1703.09 is predicted to localize
Concentrate the protein in a less complex sample
Immunoprecipitation:
Concentrate SPBC1703.09 from larger sample volumes
Perform subsequent Western blot on the immunoprecipitated material
Protein concentration methods:
TCA or acetone precipitation to concentrate proteins
Ultrafiltration to remove small interfering molecules
Signal amplification methods:
Enhanced chemiluminescence systems:
Use high-sensitivity ECL substrates with signal enhancers
Optimize exposure times (using multiple exposures)
Tyramide signal amplification:
Enzymatic deposition of fluorescent tyramide
Can increase signal 10-100 fold for immunofluorescence applications
Polymer-based detection systems:
HRP-polymer conjugated secondary antibodies
Provides multiple enzyme molecules per binding event
Protocol optimization:
Extended antibody incubation:
Longer primary antibody incubation (overnight at 4°C)
Allows more complete binding to low-abundance targets
Detection system selection:
Fluorescent detection systems often provide better linearity for quantitation
Digital imaging with CCD cameras for sensitive detection
Combining these approaches can significantly improve detection of low-abundance SPBC1703.09 while maintaining specificity. The appropriate techniques should be selected based on the specific research question and available equipment.
Investigating SPBC1703.09 interactions can provide crucial insights into its function. The following methodologies leverage specific antibodies for protein interaction studies:
Co-immunoprecipitation (Co-IP) approaches:
Standard Co-IP protocol:
Lyse cells under native conditions to preserve interactions
Immunoprecipitate SPBC1703.09 using its specific antibody
Analyze co-precipitated proteins by Western blot or mass spectrometry
Reverse Co-IP validation:
Immunoprecipitate identified interacting partners
Probe for SPBC1703.09 in the precipitated complex
Confirms interactions bidirectionally
Crosslinking-assisted Co-IP:
Use cell-permeable crosslinkers to stabilize transient interactions
Particularly useful for weak or dynamic interactions
Proximity-based techniques:
Proximity ligation assay (PLA):
Combine SPBC1703.09 antibody with antibodies against suspected partners
Secondary antibodies with attached oligonucleotides generate fluorescent signal
Visualize interactions in situ (within intact cells)
BioID or APEX2 proximity labeling:
Create fusion proteins for proximity labeling
Use SPBC1703.09 antibody to confirm proper expression and localization
Identify proximal proteins by mass spectrometry
Experimental design considerations:
Buffer optimization:
Test different lysis buffers (varying salt, detergent concentrations)
Optimize to maintain interactions while effectively lysing cells
Controls for specificity:
Include IgG control immunoprecipitations
Perform comparative analysis with SPBC1703.09 knockout strains
Biological relevance validation:
Test interactions under different growth conditions
Investigate effects of stress or cell cycle stage on interactions
Combining multiple complementary approaches provides the strongest evidence for biological interactions and helps distinguish genuine interactors from technical artifacts.
Inconsistent results with antibodies are a common challenge. For SPBC1703.09 antibody, systematic troubleshooting can help resolve these issues:
Systematic diagnosis approach:
Antibody quality assessment:
Check antibody age, storage conditions, and freeze-thaw history
Consider testing a new lot or aliquot
Perform a dot blot test to confirm antibody activity
Sample preparation consistency:
Standardize cell growth conditions (medium, temperature, collection OD)
Use consistent lysis buffers and protease inhibitor cocktails
Document protein quantification methods and loading amounts
Technical parameters:
Create detailed protocols with standardized incubation times and temperatures
Control ambient lab temperature during critical steps
Use the same reagent brands and lots when possible
Experimental variables to control:
| Variable | Potential Issue | Solution |
|---|---|---|
| Cell growth phase | Different protein expression levels | Harvest cells at consistent OD/density |
| Lysis conditions | Variable extraction efficiency | Standardize lysis buffer and procedure |
| Blocking reagents | Different background levels | Use consistent blocking agent and concentration |
| Antibody dilution | Inconsistent detection sensitivity | Prepare fresh dilutions from master stock |
| Detection reagents | Variable signal strength | Use same detection system and exposure parameters |
Documentation and standardization:
Comprehensive record-keeping:
Maintain detailed records of all experimental parameters
Document lot numbers of antibodies and key reagents
Archive all blot images, including both successful and failed experiments
Standard operating procedure:
Develop a written SOP for SPBC1703.09 detection
Update the SOP based on troubleshooting findings
Studies indicate that inconsistent antibody performance contributes significantly to irreproducibility in scientific research, with estimated financial losses of $0.4–1.8 billion annually due to unreliable antibodies . Systematic troubleshooting and standardization are therefore essential.
Accurate quantification of SPBC1703.09 requires robust methodologies that account for technical variables and biological fluctuations:
Western blot-based quantification:
Linear range determination:
Create a dilution series of your sample
Identify the range where signal intensity correlates linearly with protein amount
Ensure experimental samples fall within this range
Normalization strategies:
Normalize to multiple housekeeping proteins to account for condition-specific variations
Consider total protein normalization (stain-free gels, Ponceau S)
Include purified recombinant protein standards if available
Digital image acquisition:
Use CCD camera-based imaging systems rather than film
Avoid pixel saturation which prevents accurate quantification
Capture multiple exposure times to ensure linearity
Complementary quantification methods:
ELISA for SPBC1703.09:
Develop sandwich ELISA using capture and detection antibodies
Generate standard curves for absolute quantification
Enables higher throughput than Western blotting
Mass spectrometry approaches:
Selected reaction monitoring (SRM) for targeted quantification
SILAC or TMT labeling for comparative studies
Provides orthogonal validation of antibody-based quantification
Experimental design for growth condition comparisons:
Time-course experiments:
Collect samples at multiple time points to capture expression dynamics
Essential for stress response or cell cycle studies
Nutrient condition experiments:
Statistical analysis:
Perform multiple biological replicates (minimum n=3)
Apply appropriate statistical tests to determine significance
Report effect sizes along with p-values
Example data presentation format:
| Growth Condition | Relative SPBC1703.09 Expression | Normalization Method | Statistical Significance |
|---|---|---|---|
| Glucose (control) | 1.00 ± 0.15 | Total protein | N/A |
| Glycerol | 2.34 ± 0.41 | Total protein | p < 0.05 |
| Nitrogen starvation | 0.38 ± 0.11 | Total protein | p < 0.01 |
| Oxidative stress | 3.12 ± 0.53 | Total protein | p < 0.01 |
This systematic approach enables reliable quantification of SPBC1703.09 expression changes across different conditions, potentially revealing insights about its biological function.
Immunofluorescence (IF) microscopy with SPBC1703.09 antibody requires specific optimization for fission yeast cells:
Sample preparation for fission yeast:
Cell wall considerations:
Enzymatic digestion with zymolyase or lysing enzymes to create spheroplasts
Critical for antibody penetration through the rigid fission yeast cell wall
Balance digestion time to maintain cell integrity while ensuring permeability
Fixation optimization:
Test formaldehyde (3.7%, 30 minutes) for structure preservation
Compare with methanol fixation (-20°C, 6 minutes) for epitope accessibility
Different fixatives may preserve different protein conformations/interactions
Permeabilization:
Triton X-100 (0.1%) or saponin (0.5%) treatment after fixation
Essential for antibody access to intracellular antigens
Antibody optimization:
Titration experiments:
Test multiple primary antibody dilutions (1:50 to 1:1000)
Determine optimal signal-to-noise ratio
Include knockout controls to assess specificity
Detection system selection:
Choose appropriate fluorophore-conjugated secondary antibodies
Consider signal amplification for low-abundance proteins
Select fluorophores compatible with available microscope filter sets
Co-localization studies:
Organelle markers:
Co-stain with antibodies against known organelle markers
Include markers for nucleus, ER, Golgi, mitochondria, etc.
Determine precise subcellular localization of SPBC1703.09
Cell cycle analysis:
Use DAPI staining to determine nuclear morphology and cell cycle stage
Analyze if SPBC1703.09 localization changes during cell division
Cell size and septation can be used to identify cell cycle phases in fission yeast
Validation approaches:
Complementary methods:
Compare IF results with live-cell imaging of fluorescently tagged SPBC1703.09
Correlate with biochemical fractionation results
Confirm specificity with appropriate genetic controls
Recent studies using atomic force microscopy have shown that fission yeast cell poles undergoing active growth have different mechanical properties compared to the cell body , suggesting protein composition differences in these regions. Such findings highlight the importance of examining protein localization across the entire cell.
If SPBC1703.09 is suspected to interact with chromatin or DNA, ChIP can provide valuable insights but requires careful optimization:
ChIP-specific antibody validation:
Epitope accessibility assessment:
Test if the antibody recognizes SPBC1703.09 in its native chromatin-bound state
Perform pilot IP experiments with crosslinked chromatin
Verify recognition of the crosslinked protein by Western blot
Specificity validation:
Include SPBC1703.09 knockout strains as negative controls
Perform peptide competition assays to confirm specific binding
Compare enrichment patterns with tagged SPBC1703.09 if possible
Optimized ChIP protocol for fission yeast:
Crosslinking optimization:
Test different formaldehyde concentrations (0.5-3%)
Optimize crosslinking time (5-30 minutes)
Consider dual crosslinkers for protein-protein and protein-DNA interactions
Chromatin fragmentation:
Sonication optimization to achieve 200-500 bp fragments
Monitor fragmentation by agarose gel electrophoresis
Consider enzymatic digestion alternatives (e.g., MNase) if sonication is problematic
IP conditions:
Optimize antibody amount (typically 2-10 μg per reaction)
Determine ideal incubation time and temperature
Select appropriate beads (Protein A, Protein G, or conjugates)
Quality control metrics:
Enrichment assessment:
qPCR testing of positive control regions (if known)
Include negative control regions (typically heterochromatic regions)
Calculate percent input and enrichment over IgG control
Technical considerations:
Perform multiple biological replicates (minimum 3)
Include technical replicates for qPCR analysis
Ensure statistical significance of enrichment
Studies with related S. pombe proteins have shown important roles in transcriptional regulation , suggesting that uncharacterized proteins like SPBC1703.09 may also participate in chromatin-associated processes. ChIP experiments can help determine if SPBC1703.09 is directly involved in such functions.
A comprehensive characterization of SPBC1703.09 requires integrating genetic manipulation with antibody-based detection:
Complementary genetic approaches:
Gene deletion/disruption:
Create SPBC1703.09 knockout strains
Analyze phenotypes under various growth conditions
Use antibody to confirm absence of protein expression
Epitope tagging:
C- or N-terminal tagging with HA, FLAG, or GFP
Compare antibody detection with tag-specific antibodies
Validate that tagging doesn't disrupt protein function
Conditional expression systems:
Regulate SPBC1703.09 expression using inducible/repressible promoters
Use antibody to monitor protein levels during induction/repression
Correlate protein levels with phenotypic effects
Integrated experimental approaches:
Proteomics analysis:
Immunoprecipitate SPBC1703.09 and identify interacting partners
Compare interactome between wild-type and mutant conditions
Build protein interaction networks to predict function
Transcriptome analysis:
Compare gene expression profiles between wild-type and SPBC1703.09 mutants
Identify pathways affected by SPBC1703.09 disruption
Use antibody to confirm protein-level changes for key targets
Functional rescue experiments:
Express SPBC1703.09 variants in knockout background
Use antibody to confirm expression of rescue constructs
Test which domains/mutations affect function
Data integration strategies:
Multi-omics integration:
Combine proteomics, transcriptomics, and phenotypic data
Develop models of SPBC1703.09 function in cellular processes
Test predictions using targeted experiments
Comparative analysis:
Examine SPBC1703.09 in related fission yeast species
Use antibody to compare expression/localization patterns
Identify evolutionarily conserved properties
Condition-specific analysis:
Study SPBC1703.09 under various stress conditions
Use antibody to track changes in abundance/localization
Correlate with changes in cellular physiology
A combined approach leveraging both genetic manipulation and antibody-based detection provides the most comprehensive characterization of uncharacterized proteins like SPBC1703.09, potentially revealing unexpected roles in cellular processes.