Target: SIINFEKL peptide bound to H-2K<sup>b</sup> (MHC class I complex)
Applications:
Flow Cytometry: Detects antigen-presenting cells (APCs) pulsed with SIINFEKL peptide (30 µM, 37°C incubation) .
Immunofluorescence/Immunohistochemistry: Tracks localization of APCs in vivo .
Functional Studies: Inhibits T-cell responses to H-2K<sup>b</sup>-SIINFEKL in vitro .
Used to study antigen presentation dynamics in mouse models .
Validated in splenocyte assays with ≤0.5 µg/test sensitivity .
Target: Integrin β1 (ITGB1/CD29)
Applications:
Western Blot (WB), Immunoprecipitation (IP), Flow Cytometry (FCM) .
Conjugates: Available in HRP, PE, FITC, and Alexa Fluor® variants .
| Property | Detail |
|---|---|
| Specificity | Detects Integrin β1 in human, mouse, and rat samples |
| Clone | TS2/16 |
| Host | Mouse (IgG1κ) |
| Role | Mediates cell adhesion and signaling via extracellular matrix ligands |
Target: Tyrosine Hydroxylase (TH)
Applications:
Western Blot: Detects TH (~59 kDa) in brain tissue lysates .
Immunohistochemistry (IHC): Validated in paraffin-embedded and frozen sections .
| Property | Detail |
|---|---|
| Specificity | Cross-reactive with human, mouse, rabbit, and rat TH |
| Clone | TH-16 |
| Host | Mouse (IgG1) |
| Immunogen | Rat tyrosine hydroxylase |
The identifier "SPBC1711.16" does not align with standard antibody naming conventions (e.g., clone numbers like 25-D1.16, TS2/16). Possible explanations include:
Typographical Error: "SPBC1711.16" may refer to a clone such as 25-D1.16 or TS2/16.
Internal Catalog Number: Could represent a vendor-specific identifier not widely recognized in public databases.
Verify Clone/Catalog Numbers: Cross-reference with commercial antibody databases (e.g., Thermo Fisher, BioLegend).
Explore Structural Homologies: If targeting MHC-peptide complexes, consider 25-D1.16 as a candidate.
Consult Vendor Specifications: Reach out to manufacturers for undisclosed clones or proprietary identifiers.
KEGG: spo:SPBC1711.16
STRING: 4896.SPBC1711.16.1
SPBC1711.16 (also known as pwp1) is a WD repeat protein found in Schizosaccharomyces pombe (fission yeast) that has been implicated in autophagy pathways . The protein has gained significant research interest due to its involvement in TOR (target of rapamycin) signaling networks, which are highly conserved between yeast and humans. Studies have shown that pwp1's phosphorylation levels are altered following nitrogen stress or Torin1 inhibition of the TORC1 and TORC2 networks . This makes SPBC1711.16 antibodies valuable tools for studying nutritional sensing and stress response mechanisms in eukaryotic cells.
Based on current research protocols, SPBC1711.16 antibody has been validated for the following applications:
| Application | Validated | Recommended Dilution |
|---|---|---|
| ELISA | Yes | Per manufacturer protocol |
| Western Blot (WB) | Yes | Per manufacturer protocol |
The antibody is compatible with standard immunological techniques used to detect the presence and relative abundance of SPBC1711.16 protein in fission yeast samples . Unlike some antibodies that have broader application ranges, current data does not validate this antibody for immunohistochemistry, flow cytometry, or immunoprecipitation applications.
SPBC1711.16 antibody should be stored at either -20°C or -80°C to maintain its reactivity and specificity . The choice between these storage temperatures often depends on the frequency of use and expected storage duration. For longer-term storage (>1 year), -80°C is generally recommended to prevent degradation of the antibody. Repeated freeze-thaw cycles should be avoided as they can lead to protein denaturation and loss of activity. If frequent access is required, consider aliquoting the antibody into single-use volumes before freezing to minimize freeze-thaw cycles.
A methodologically sound experiment using SPBC1711.16 antibody should incorporate multiple controls:
Positive control: The antibody is supplied with 200μg of antigen that can be used as a positive control to confirm antibody reactivity .
Negative control: A 1ml pre-immune serum is provided with the antibody and should be used as a negative control to identify any non-specific binding .
SPBC1711.16 knockout/knockdown control: Where possible, samples from SPBC1711.16 knockout or knockdown strains should be included to confirm antibody specificity.
Cross-reactivity controls: Though the antibody is reported to be specific for yeast species, if working with multiple yeast species or strains, appropriate controls should be included to assess potential cross-reactivity.
Loading controls: Standard protein loading controls appropriate for yeast samples (e.g., actin, tubulin) should be included in Western blot experiments.
To detect changes in SPBC1711.16 phosphorylation following nutritional stress, researchers should follow this methodological approach:
Sample preparation: Culture S. pombe cells in standard medium, then transfer half to nitrogen-limited medium to induce stress conditions .
Time course: Harvest cells at multiple time points (0, 15, 30, 60, 120 minutes) to capture phosphorylation dynamics.
Protein extraction: Use a phosphorylation-preserving extraction buffer containing phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate).
Western blot analysis: Separate proteins using Phos-tag™ acrylamide gels to enhance separation of phosphorylated forms, then transfer and probe with SPBC1711.16 antibody .
Phosphatase controls: Include samples treated with lambda phosphatase to confirm band shifts are due to phosphorylation.
Quantification: Use densitometry to quantify the ratio of phosphorylated to non-phosphorylated forms of the protein.
This approach has been validated in studies examining TOR-dependent phosphorylation events in fission yeast .
When encountering non-specific binding with SPBC1711.16 antibody, implement the following methodological solutions:
Optimize blocking conditions: Extend blocking time (2-3 hours or overnight) and test different blocking agents (BSA, milk, commercial blockers) to determine which provides the cleanest results.
Adjust antibody concentration: Titrate the antibody to determine the optimal concentration that provides specific signal while minimizing background. Start with the manufacturer's recommended concentration and test serial dilutions.
Increase washing stringency: Incorporate additional wash steps (5-6 washes instead of 3) and consider adding low concentrations of detergent (0.05-0.1% Tween-20) to wash buffers.
Pre-absorb the antibody: Incubate the diluted antibody with the pre-immune serum provided in the kit prior to application to eliminate cross-reactive antibodies.
Apply antigen competition: If available, pre-incubate the antibody with excess purified antigen to confirm signal specificity.
The polyclonal nature of this antibody may contribute to higher background in some applications, so these optimization steps are particularly important.
Interpreting SPBC1711.16 data in TOR signaling contexts requires consideration of several methodological approaches:
Comparative analysis: Compare SPBC1711.16 phosphorylation patterns with those of known TOR substrates (e.g., S6K homologs) to establish correlation with TOR activity.
Pharmacological manipulation: Use specific TOR inhibitors like Torin1 (which affects both TORC1 and TORC2) to distinguish TOR-dependent phosphorylation events .
Genetic approaches: Analyze SPBC1711.16 phosphorylation in strains with mutations in TOR pathway components (TORC1/Mip1 or TORC2/Ste20) to determine which complex regulates the protein.
Integration with AMPK signaling: Consider the role of AMPK (Ssp2 in S. pombe) when interpreting changes in phosphorylation, as studies have shown complex interplay between TOR and AMPK during nutritional stress .
Temporal analysis: Establish the kinetics of phosphorylation changes, as early events (15-30 minutes) are more likely to be direct consequences of TOR activity while later events may reflect secondary adaptations.
Research has shown that SPBC1711.16/pwp1 is among the proteins whose phosphorylation increases by approximately 50% during nitrogen stress conditions, potentially connecting it to autophagy processes .
Integrating SPBC1711.16 antibody into phosphoproteomic workflows requires several methodological considerations:
SILAC labeling: Implement Stable Isotope Labeling with Amino acids in Cell culture (SILAC) to allow quantitative comparison of phosphorylation levels between different conditions .
Phosphopeptide enrichment: Use titanium dioxide (TiO₂) or immobilized metal affinity chromatography (IMAC) to enrich for phosphopeptides prior to mass spectrometry analysis.
Immunoprecipitation: Although not explicitly validated in the literature for this antibody, attempted immunoprecipitation of SPBC1711.16 followed by mass spectrometry can identify phosphorylation sites and interacting partners.
Integration with other datasets: Compare SPBC1711.16 phosphorylation data with existing phosphoproteomic datasets of TOR inhibition and nitrogen stress to identify co-regulated phosphorylation networks .
Bioinformatic analysis: Apply motif analysis to SPBC1711.16 phosphorylation sites to predict potential kinases and compare these with known TOR-regulated kinases.
This integrated approach has successfully identified SPBC1711.16/pwp1 as part of a larger phosphoproteomic network affected by nutritional status in fission yeast .
To investigate SPBC1711.16's role in autophagy and its relationship to TOR signaling, researchers should implement these methodological approaches:
Genetic manipulation: Create SPBC1711.16 deletion or point-mutant strains (particularly at phosphorylation sites) and assess autophagy markers under different nutritional conditions.
Autophagy assays: Employ established autophagy monitoring techniques such as:
GFP-Atg8 processing assays
Electron microscopy to visualize autophagosomes
Pho8Δ60 assays to measure autophagy flux
Co-localization studies: Perform fluorescence microscopy with tagged SPBC1711.16 and autophagy proteins to determine spatial relationships during nitrogen stress.
Epistasis analysis: Combine SPBC1711.16 mutations with mutations in TOR pathway components to establish genetic relationships.
Phosphomimetic mutations: Create phosphomimetic (e.g., Ser→Asp) and phospho-dead (e.g., Ser→Ala) mutations at identified phosphorylation sites to assess functional significance.
These approaches can help elucidate whether SPBC1711.16's role in autophagy is directly regulated by TOR-dependent phosphorylation or involves alternative mechanisms, building on observations that link it to autophagy processes in fission yeast .
To conduct comparative analyses of SPBC1711.16 with homologs in other species, implement these methodological approaches:
Sequence and structural analysis: Perform multiple sequence alignments and structural modeling to identify conserved domains and potential phosphorylation sites across species.
Complementation studies: Express homologs from other species (e.g., human PWP1) in S. pombe SPBC1711.16 deletion strains to assess functional conservation.
Phosphorylation site conservation: Compare phosphorylation sites identified in S. pombe SPBC1711.16 with known or predicted sites in homologs from other species, particularly in response to nutritional stress.
Cross-species antibody validation: Test whether the SPBC1711.16 antibody recognizes homologs in closely related yeast species, which could expand its research applications.
Evolutionary rate analysis: Calculate evolutionary rates of SPBC1711.16 compared to other WD repeat proteins to assess selective pressures and functional importance.
This comparative approach can reveal evolutionarily conserved functions and regulatory mechanisms, potentially identifying SPBC1711.16 as part of broader conserved networks that link nutritional sensing to cellular processes across eukaryotes .
The SPBC1711.16 antibody can be adapted to study multiple stress conditions through these methodological approaches:
Comparative stress analysis: Apply various stressors (oxidative, heat, osmotic, glucose limitation) and compare SPBC1711.16 phosphorylation patterns to identify stress-specific and general stress responses.
Temporal profiling: Establish time-course experiments to determine acute versus chronic adaptation responses mediated by SPBC1711.16 under different stress conditions.
Integration with stress-responsive pathways: Analyze SPBC1711.16 in the context of other stress-responsive pathways (SAPK, CWI, etc.) to map its position in the cellular stress response network.
Stress granule association: Investigate potential association of SPBC1711.16 with stress granules under various stress conditions using co-localization studies.
Drug-induced stress: Use rapamycin, Torin1, and other pharmacological agents to manipulate TOR signaling and analyze consequent effects on SPBC1711.16 function and localization .
This approach builds on the established connection between SPBC1711.16 and TOR signaling pathways, which are central regulators of multiple stress responses beyond just nutritional sensing.
To leverage SPBC1711.16 as a model for studying WD-repeat protein biology, implement these methodological strategies:
Structure-function analysis: Create targeted mutations in specific WD repeats to determine their contribution to protein function and regulation.
Interactome mapping: Perform systematic protein-protein interaction studies (Y2H, BioID, or Co-IP followed by mass spectrometry) to identify SPBC1711.16 binding partners.
Subcellular localization dynamics: Track the subcellular localization of fluorescently tagged SPBC1711.16 under different conditions to correlate localization with function.
Chromatin association: Perform ChIP-seq if there are indications of nuclear localization to identify potential chromatin associations, as many WD-repeat proteins function in chromatin-related processes.
Post-translational modification mapping: Conduct comprehensive PTM mapping beyond phosphorylation to include ubiquitination, SUMOylation, and other modifications that might regulate WD-repeat protein function.