MST28 Antibody is a polyclonal antibody generated using Diap1, DIAPH1, Somatostatin, and Sst as antigens . It exhibits reactivity across multiple species, including Human, Mouse, Rat, Feline, and Guinea Pig . SST-28, a 28-amino acid isoform of somatostatin, regulates hormone secretion and neurotransmission, making this antibody critical for studying endocrine and neurological pathways.
Immunogen: Derived from somatostatin precursors, ensuring high affinity for SST-28 .
Specificity: Validated via immunocytochemistry (ICC), immunofluorescence (IF), and immunohistochemistry (IHC). Pretreatment with SST-28 eliminates staining, confirming target specificity .
Cross-reactivity: Minimal non-specific binding due to stringent epitope validation .
| Parameter | Details |
|---|---|
| Host Species | Rabbit |
| Applications | ICC, IF, IHC |
| Reactivity | Human, Mouse, Rat, Feline, Guinea Pig |
| Validation | 4+ Cyanine 3 (Cy3) staining at 1/500–1/1000 dilution |
MST28 Antibody is utilized in:
Neuroendocrine Studies: Mapping SST-28 distribution in hypothalamic and median eminence tissues .
Cancer Research: Investigating somatostatin receptor (SSTR) expression in tumors, including neuroendocrine and pancreatic cancers .
Immunoassays: Quantifying SST-28 levels in serum or tissue samples for diagnostic purposes .
SST-28 modulates growth hormone inhibition and insulin/glucagon regulation, with implications for metabolic disorders .
In cancer models, SST-28 signaling pathways are linked to tumor suppression via apoptosis induction .
Diagnostics: Used in radioimmunoassays to detect endocrine tumors overexpressing SSTRs .
Therapeutic Potential: Preclinical studies explore SST-28 analogs for targeted cancer therapy, though clinical adoption remains limited .
| Clinical Parameter | Data |
|---|---|
| Cancer Detection | High sensitivity in neuroendocrine tumor imaging |
| Therapeutic Trials | Early-phase studies for SSTR-targeted drug delivery |
Species Variability: Differential SST-28 expression across species requires validation in non-human models .
Stability: Sensitivity to storage conditions (e.g., freeze-thaw cycles) impacts reproducibility .
Cross-reactivity Risks: Potential interference with structurally similar peptides (e.g., SST-14) .
KEGG: sce:YAR033W
STRING: 4932.YAR033W
MST28 Antibody (product code CSB-PA336591XA01SVG) is a polyclonal antibody raised in rabbits against recombinant Saccharomyces cerevisiae (strain ATCC 204508/S288c) MST28 protein. It is specifically designed to detect endogenous levels of the MST28 protein in Baker's yeast. This antibody is provided in liquid form, non-conjugated, and preserved in a buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300. The antibody has been purified using antigen affinity methods and is classified as IgG isotype .
MST28 Antibody has been tested and validated for ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot (WB) applications. These validation tests ensure the identification of the target antigen in research settings. It's important to note that this antibody is designated "For Research Use Only" and is not approved for diagnostic or therapeutic procedures .
Upon receipt, MST28 Antibody should be stored at either -20°C or -80°C to maintain its functional properties. Repeated freeze-thaw cycles should be avoided as they can lead to antibody degradation and reduced efficacy. When working with the antibody, proper aliquoting practices are recommended to minimize freeze-thaw events. This preservation approach helps maintain the structural integrity and binding capacity of the antibody throughout your research timeline .
Proper titration is essential for achieving optimal antibody performance while minimizing background and non-specific binding. Begin your titration by testing concentrations both above and below the manufacturer's recommended amount, typically starting with twice the recommended concentration followed by 6-8 serial dilutions. Evaluate each dilution's performance using Staining Index (SI) calculations to determine the optimal concentration. The ideal concentration is typically found at the midpoint between the shoulders of the titration curve, where the staining index begins to decrease but before significant signal loss occurs. This methodical approach ensures the best signal-to-noise ratio while economizing antibody usage .
Effective blocking is critical for reducing non-specific binding when working with antibodies. Research has shown that purified IgG can be particularly effective as a blocking reagent for yeast-targeted antibodies. The optimal approach involves incubating your samples with blocking agent (such as purified IgG) for approximately 15 minutes on ice prior to antibody application. The exact concentration should be determined empirically, as blocking requirements can vary based on sample type and experimental conditions. Additional strategies to reduce non-specific binding include incorporating viability dyes, adding dump channels to your panel, and implementing careful gating strategies to analyze similarly sized cells .
Antibody validation is a multi-step process that should include:
Positive and negative controls: Use samples known to express (positive) or not express (negative) the MST28 protein.
Western blot analysis: Confirm that the antibody detects a band of the expected molecular weight.
Peptide competition assay: Pre-incubation of the antibody with its target peptide should abolish or greatly reduce the signal.
Knockout/knockdown verification: If available, samples with MST28 genetically removed or reduced should show corresponding reduction in signal intensity.
Cross-reactivity assessment: Test the antibody against related yeast strains to ensure specificity.
These validation steps are essential for confirming that the observed signals truly represent MST28 rather than non-specific or off-target binding .
Non-specific binding (NSB) can significantly impact experimental results when working with antibodies. To mitigate NSB with MST28 Antibody:
Optimize antibody concentration: Excessive antibody concentration increases off-target binding with low affinity. Careful titration is essential to determine the minimum concentration that provides optimal specific signal.
Implement effective blocking: Use appropriate blocking reagents (purified IgG, normal serum) at empirically determined optimal concentrations. Andersen et al. demonstrated that purified IgG was both effective and economical for blocking in complex systems.
Adjust incubation conditions: Controlling temperature, duration, and buffer composition during antibody incubation can significantly impact specificity.
Pre-clear samples: Removing potential interfering components from samples prior to antibody addition can improve specificity.
Evaluate buffer composition: Different detergents and salt concentrations can influence antibody binding characteristics .
Proper controls are essential for interpreting antibody experiment results. For MST28 Antibody, consider implementing:
Isotype controls: Include appropriate rabbit polyclonal IgG controls at matching concentrations to assess non-specific binding.
Secondary antibody-only control: Evaluates background from secondary detection systems.
Known positive samples: Samples with verified MST28 expression establish detection sensitivity.
Known negative samples: Samples lacking MST28 confirm specificity.
Blocking peptide control: Pre-incubation with specific blocking peptide should abolish specific binding.
Process controls: Samples processed identically except for key experimental variables identify procedural artifacts.
These comprehensive controls allow discrimination between true MST28 signals and experimental artifacts or background .
The microenvironment significantly impacts antibody-antigen interactions. For MST28 Antibody:
pH sensitivity: Buffer pH can alter epitope conformations and antibody binding affinity. Testing a pH range (typically 6.0-8.0) may identify optimal conditions for MST28 detection.
Salt concentration: Ionic strength affects electrostatic interactions between antibody and antigen. High salt concentrations can reduce non-specific binding but might also diminish specific interactions.
Detergent effects: Low concentrations of non-ionic detergents (0.05-0.1% Tween-20) can reduce hydrophobic non-specific interactions without disrupting specific binding.
Divalent cations: Calcium and magnesium can influence protein conformations and antibody-antigen interactions, particularly in certain buffer systems.
Reducing agents: DTT or β-mercaptoethanol can disrupt antibody disulfide bonds, potentially affecting binding capacity when used at high concentrations .
Microscale Thermophoresis (MST) represents an advanced technique for studying molecular interactions and could potentially be utilized with MST28 Antibody for binding affinity studies. To implement MST analysis with MST28 Antibody:
Fluorescent labeling: One binding partner (either the antibody or its target) must be fluorescently labeled.
Sample preparation: Prepare a dilution series of the non-labeled binding partner while keeping the labeled component at constant concentration.
Temperature gradient application: The MST instrument applies precise temperature gradients and monitors molecular movement through fluorescence changes.
Binding curve analysis: Plot thermophoresis signals against ligand concentration to determine KD values and binding parameters.
MST offers advantages including low sample consumption, solution-based measurements without immobilization, and the ability to determine precise binding affinities for antibody-antigen interactions in near-native conditions .
Cross-reactivity assessment is critical for antibody characterization. For MST28 Antibody:
Comprehensive epitope mapping: Identify the specific MST28 regions recognized by the antibody.
Sequence homology analysis: Compare the MST28 epitope sequence with other yeast proteins to identify potential cross-reactive targets.
Experimental verification: Test the antibody against:
Closely related yeast strains
Purified proteins with structural similarity to MST28
Cell lysates from organisms lacking MST28
Competitive binding assays: Evaluate whether binding to MST28 can be competitively inhibited by potential cross-reactive antigens.
Quantitative analysis: Calculate cross-reactivity ratios by comparing binding affinities to MST28 versus potential cross-reactive proteins.
This systematic approach provides comprehensive cross-reactivity profiling beyond simple positive/negative determinations .
Co-immunoprecipitation (Co-IP) requires specific optimization for successful implementation with MST28 Antibody:
Antibody immobilization strategy: Determine whether direct antibody immobilization or pre-binding to Protein A/G beads is more effective for MST28 Antibody.
Lysis buffer optimization: Test different lysis conditions (detergent type/concentration, salt levels) that preserve MST28 protein interactions while facilitating antibody access.
Cross-linking consideration: Evaluate whether reversible cross-linking would stabilize transient protein interactions without compromising antibody binding.
Pre-clearing protocol: Implement sample pre-clearing with control IgG and protein A/G beads to reduce non-specific binding.
Elution strategy: Determine optimal elution conditions (pH shift, competitive elution, etc.) that maximize recovery of MST28 complexes without antibody contamination.
The table below summarizes recommended buffer conditions for Co-IP optimization:
| Buffer Component | Standard Condition | Stringent Condition | Mild Condition |
|---|---|---|---|
| NaCl | 150 mM | 300 mM | 100 mM |
| Detergent | 1% NP-40 | 1% Triton X-100 | 0.5% NP-40 |
| Buffer | 50 mM Tris pH 7.5 | 50 mM Tris pH 8.0 | 20 mM HEPES pH 7.2 |
| Protease Inhibitors | Complete cocktail | Complete cocktail | Complete cocktail |
| Phosphatase Inhibitors | Optional | Optional | Optional |
These optimizations should be systematically tested to identify conditions that maximize specific MST28 protein complex recovery while minimizing background .
Proper statistical analysis of antibody experimental data requires:
Normalization strategies: Data should be normalized to appropriate controls to account for experimental variations. Common approaches include normalization to housekeeping proteins for Western blots or to isotype controls for flow cytometry.
Outlier identification: Systematic approaches to identify and address outliers, such as Grubbs' test or Dixon's Q test, should be implemented before primary analysis.
Statistical tests selection: For comparative analyses:
Two conditions: t-test (parametric) or Mann-Whitney (non-parametric)
Multiple conditions: ANOVA with appropriate post-hoc tests (parametric) or Kruskal-Wallis (non-parametric)
Effect size calculation: Beyond p-values, effect size measures (Cohen's d, η²) should be reported to indicate biological significance.
Power analysis: Determining appropriate sample sizes through power analysis ensures sufficient statistical power to detect biologically meaningful differences.
Data inconsistencies in antibody experiments can arise from multiple sources and require systematic troubleshooting:
Antibody lot variability: Compare results across different antibody lots to identify lot-specific variations. Maintain reference standards for inter-lot comparisons.
Epitope accessibility issues: Variations in sample preparation can affect epitope exposure. Standardize fixation, permeabilization, and antigen retrieval protocols.
Cell/sample heterogeneity: Increased biological replication and careful sample preparation can address sample-to-sample variations.
Technical variation sources: Systematic evaluation of:
Instrument calibration and settings
Reagent stability and storage conditions
Operator technique and protocol adherence
Interaction with other experimental variables: Design factorial experiments to identify interactions between MST28 Antibody performance and other experimental variables.
When inconsistencies persist, consider implementing a Bayesian analytical approach that incorporates uncertainty estimations rather than relying solely on frequentist statistics .