STE23 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
STE23 antibody; YLR389C antibody; L8084.12 antibody; A-factor-processing enzyme antibody; EC 3.4.24.- antibody; Insulin-degrading enzyme homolog antibody
Target Names
STE23
Uniprot No.

Target Background

Function
STE23 is a mitochondrial matrix protease in yeast. It is involved in the N-terminal endoproteolytic cleavage of the P2 precursor of the a-factor mating pheromone. STE23 also exhibits the ability to proteolyze established mammalian insulin-degrading enzymes (IDEs) substrates such as amyloid-beta peptide and insulin B-chain.
Gene References Into Functions
  1. Research has identified STE23, a novel mitochondrial matrix protease in yeast, as a homologue of human insulin-degrading enzyme. This enzyme is essential for efficient peptide degradation. STE23 and Cym1 work in close collaboration to ensure the proper functioning of the essential presequence processing machinery. PMID: 28228553
  2. A comprehensive biochemical analysis of a yeast M16A enzyme, STE23p, has revealed enzymatic properties highly consistent with mammalian IDEs and other M16A enzymes. PMID: 19750477
Database Links

KEGG: sce:YLR389C

STRING: 4932.YLR389C

Protein Families
Peptidase M16 family
Subcellular Location
Membrane; Peripheral membrane protein.

Q&A

What are the recommended methods for detecting STE23 expression in experimental samples?

For detecting Ste23 in research samples, specific and affinity-purified antibodies have proven effective. Based on published methodologies, researchers should consider these approaches:

  • Western blot analysis: Using specific anti-Ste23 antibodies, researchers can detect the protein in subcellular fractions. Protection assays with Proteinase K under various osmotic conditions can confirm mitochondrial matrix localization .

  • Immunofluorescence microscopy: Though not explicitly detailed in the provided literature, standard immunofluorescence protocols using validated anti-Ste23 antibodies could be adapted from techniques used for other mitochondrial proteins.

  • Flow cytometry analysis: While direct references to Ste23 flow cytometry are not provided, techniques similar to those used for STEAP1 analysis could be adapted, including antibody conjugation to fluorophores like Alexa-Fluor 647 and subsequent quantification of mean fluorescence intensity (MFI) .

When validating antibody specificity, it is critical to include appropriate controls such as Ste23 knockout samples to ensure signal specificity.

How is STE23 imported into mitochondria and what is the significance of its presequence?

Ste23 is imported into mitochondria via a cleavable presequence mechanism. Research demonstrates that Ste23 contains an N-terminal presequence that targets the protein to mitochondria and is subsequently cleaved during the import process . This import mechanism is critical for proper localization of Ste23 to the mitochondrial matrix where it performs its proteolytic functions.

The significance of the presequence extends beyond mere targeting, as Ste23 itself is involved in degrading presequence peptides derived from other imported proteins. This creates an interesting functional loop where the import mechanism that brings Ste23 into mitochondria is related to its own enzymatic function within the organelle . Understanding this relationship is crucial for researchers investigating mitochondrial protein import and presequence processing pathways.

What are the optimal experimental conditions for measuring STE23 proteolytic activity?

Based on published research protocols, the following experimental approach is recommended for measuring Ste23 proteolytic activity:

  • Protein preparation: Generate wild-type Ste23 and catalytically inactive variants (e.g., Ste23 E121Q mutation in the catalytic site) through cell-free translation systems .

  • Substrate selection: Utilize physiologically relevant substrates such as:

    • Presequence peptides (e.g., Cox4 presequence)

    • Amyloid β peptides

  • Activity assay conditions: Incubate purified Ste23 with substrate peptides under controlled temperature and pH conditions. The degradation of peptides can be monitored using techniques such as:

    • High-performance liquid chromatography (HPLC)

    • Mass spectrometry

    • Fluorescence-based assays with labeled peptides

  • Controls: Always include:

    • Catalytically inactive Ste23 variants (E121Q)

    • No-enzyme controls

    • Positive controls with known proteases

  • Time-course experiments: For accurate measurement of enzyme kinetics, perform time-course experiments to observe the degradation rates of peptides in the presence of wild-type and mutant Ste23 .

This methodological approach has been validated in research showing that wild-type Ste23, but not the inactive E121Q variant, efficiently degrades both Cox4 presequence and amyloid β peptides .

How does STE23 cooperate with Cym1 in mitochondrial peptide clearance, and how can this be experimentally validated?

The cooperative relationship between Ste23 and Cym1 in mitochondrial peptide clearance has been demonstrated through several experimental approaches that researchers can replicate:

  • Single and double knockout studies: While single deletions of either Ste23 or Cym1 show only mild phenotypes, the simultaneous deletion of both proteases leads to a severe growth defect, particularly at low temperatures. This indicates functional redundancy and cooperation between these enzymes .

  • Peptide degradation assays: Soluble mitochondrial fractions from wild-type, ste23Δ, cym1Δ, and double knockout strains can be compared for their ability to degrade presequence peptides and amyloid β peptides. Results show delayed peptide clearance in single knockouts and severely impaired degradation in double mutants .

  • Complementation experiments: Overexpression of Ste23 can rescue the lethal growth phenotype of cym1Δ strains at higher temperatures, providing strong evidence for their cooperative role .

  • MPP activity stimulation: The presequence-processing activity of mitochondrial processing peptidase (MPP) can be stimulated by overexpression of either Ste23 in cym1Δ strains or Cym1 in ste23Δ strains, further supporting their functional relationship .

These experimental approaches collectively demonstrate that Ste23 and Cym1 function cooperatively in mitochondrial peptide clearance, with each capable of partially compensating for the absence of the other, but their simultaneous absence severely compromises mitochondrial function and cell viability.

What are the recommended approaches for generating and validating antibodies against STE23?

For researchers developing antibodies against Ste23, the following methodological approach is recommended based on analogous antibody development practices:

  • Antigen design and selection:

    • Use full-length Ste23 or specific epitope regions

    • Consider using both N-terminal and C-terminal regions to account for potential presequence cleavage

    • Express and purify the antigen using bacterial or eukaryotic expression systems

  • Antibody generation strategies:

    • Monoclonal antibody development: Follow approaches similar to those used for STEAP1 antibodies, including humanization if necessary

    • Polyclonal antibody production: Immunize rabbits or other suitable species with purified Ste23 antigens

  • Purification and characterization:

    • Affinity purification against the immunizing antigen

    • Evaluate cross-reactivity with related proteases (particularly IDE homologues)

    • Perform Western blot analysis to confirm specificity using wild-type and ste23Δ samples

  • Validation methods:

    • Immunoprecipitation of native Ste23

    • Subcellular localization studies to confirm mitochondrial matrix targeting

    • Protection assays using Proteinase K under different conditions (isoosmotic, hypoosmotic, and detergent-treated)

    • Alkaline extraction tests to confirm proper mitochondrial matrix localization

  • Quantitative assessment:

    • Establish standard curves using purified Ste23

    • Consider developing quantitative ELISAs using approaches similar to those described for other antibody systems

These approaches should yield specific and validated antibodies suitable for various research applications, including Western blotting, immunohistochemistry, and potentially immunoprecipitation of Ste23 from biological samples.

What methods are recommended for quantitative analysis of STE23 antibody binding in research applications?

For quantitative analysis of Ste23 antibody binding, researchers should consider adopting methodologies similar to those used for other antibody systems with appropriate modifications:

  • Flow cytometry-based quantification:

    • Chemical conjugation of anti-Ste23 antibodies to fluorophores like Alexa-Fluor 647

    • Use of Quantum MESH microspheres for translation of MFI to antigen density

    • Inclusion of proper isotype controls and secondary antibody controls

  • ELISA development and standardization:

    • Development of a quantitative ELISA based on purified Ste23 protein

    • Establishment of standard curves using monoclonal antibodies as reference standards

    • Implementation of 2-dimensional screening approaches for improved sensitivity and specificity

  • Surface Plasmon Resonance (SPR) analysis:

    • Determination of binding kinetics (kon and koff rates)

    • Calculation of equilibrium dissociation constants (KD)

    • Epitope mapping and competition studies

  • Standardization approaches:

    • Develop a panel of control Ste23 monoclonal antibodies with defined binding properties

    • Establish quantitative reference standards for calibrating assays performed on different days or by different laboratories

    • Include both high-affinity and low-affinity antibodies in standard panels

These quantitative approaches will enable more rigorous comparison of results between different experimental conditions and between different laboratories, enhancing reproducibility in Ste23 research.

How should researchers approach immunogenicity testing when working with STE23 antibodies in experimental models?

When conducting immunogenicity testing with Ste23 antibodies, researchers should implement a structured approach similar to established immunogenicity testing schematics:

This methodological framework ensures consistent and reliable assessment of immunogenicity when working with Ste23 antibodies in research settings, allowing for more standardized comparison of results across different studies.

What are the key considerations for analyzing the specificity of STE23 antibodies in the presence of related proteases?

When evaluating the specificity of Ste23 antibodies, particularly in the presence of related proteases like Cym1 and IDE homologues, researchers should consider the following methodological approaches:

  • Cross-reactivity testing:

    • Test antibody binding against a panel of related proteases, particularly Cym1 and IDE homologues

    • Use both recombinant proteins and native proteases from appropriate cellular fractions

    • Implement Western blot, ELISA, and immunoprecipitation approaches to assess cross-reactivity comprehensively

  • Epitope mapping:

    • Identify the specific epitopes recognized by anti-Ste23 antibodies

    • Compare sequence homology between these epitopes and corresponding regions in related proteases

    • Use peptide arrays or mutational analysis to define critical binding residues

  • Knockout validation studies:

    • Test antibody binding in samples from Ste23 knockout organisms to confirm absence of signal

    • Compare signal in wild-type, ste23Δ, cym1Δ, and double knockout samples to assess specificity

  • Competition assays:

    • Perform competition assays with purified Ste23 and related proteases

    • Quantify the degree of signal reduction when antibodies are pre-incubated with different competing antigens

  • Species cross-reactivity:

    • Evaluate antibody binding to Ste23 homologues from different species

    • Determine conservation of recognized epitopes across species boundaries

These methodological considerations will help researchers ensure that their anti-Ste23 antibodies are highly specific and suitable for detecting Ste23 in complex biological samples containing multiple related proteases.

What methodology should be used for optimizing immunoprecipitation protocols for STE23 research?

For optimal immunoprecipitation of Ste23 in research applications, consider the following methodological approach:

  • Sample preparation:

    • For mitochondrial Ste23: Isolate intact mitochondria using differential centrifugation followed by careful lysis under conditions that preserve protein interactions

    • Use buffers containing appropriate detergents that solubilize membranes while preserving native protein conformation and interactions

    • Include protease inhibitors to prevent degradation during sample processing

  • Antibody selection and immobilization:

    • Use affinity-purified antibodies specifically validated for immunoprecipitation

    • Consider both direct immobilization to beads and indirect capture using secondary antibodies or Protein A/G

    • Determine optimal antibody-to-sample ratio through titration experiments

  • Immunoprecipitation conditions:

    • Optimize buffer conditions (pH, salt concentration, detergent type and concentration)

    • Determine optimal incubation time and temperature

    • Include appropriate controls:

      • Non-specific IgG control

      • Immunoprecipitation from ste23Δ samples

      • Input controls for calculation of immunoprecipitation efficiency

  • Interaction studies:

    • For studying Ste23-Cym1 interactions, consider crosslinking approaches before immunoprecipitation

    • Use mild detergents to preserve weak or transient interactions

    • Consider proximity labeling approaches like BioID or APEX as complementary methods

  • Analysis of immunoprecipitated material:

    • Western blotting for specific detection of Ste23 and interacting partners

    • Mass spectrometry for unbiased identification of novel interacting proteins

    • Activity assays to determine if immunoprecipitated Ste23 retains its proteolytic function

This methodological framework provides a comprehensive approach to optimize immunoprecipitation protocols specifically for Ste23 research, enabling both targeted and discovery-based investigations of Ste23 interactions and functions.

How should researchers interpret contradictory results in STE23 antibody detection assays?

When faced with contradictory results in Ste23 antibody detection assays, researchers should follow this systematic approach to resolution:

  • Assay validation assessment:

    • Review validation parameters for each assay including sensitivity, specificity, and reproducibility

    • Confirm that positive and negative controls performed as expected in each assay

    • Evaluate the potential for matrix effects or interfering substances

  • Sample-specific considerations:

    • Analyze whether discrepancies correlate with specific sample types or conditions

    • Consider potential confounding factors such as post-translational modifications or proteolytic processing of Ste23

    • Evaluate whether Ste23-Cym1 interactions might mask or alter epitope accessibility

  • Methodological reconciliation approach:

    • Compare assay principles and protocols to identify key methodological differences

    • Implement orthogonal detection methods to provide additional data points

    • Consider the following decision matrix for resolving contradictions:

ScenarioWestern BlotELISAImmunofluorescenceRecommended Action
1PositiveNegativePositiveReview ELISA conditions; check for epitope masking
2NegativePositiveNegativeValidate ELISA specificity; check for cross-reactivity
3PositivePositiveNegativeReview fixation conditions; epitope may be sensitive to fixation
4VariableVariableVariableUse genetic manipulation (knockout) to confirm specificity
  • Epitope availability analysis:

    • Assess whether different assays detect different epitopes on Ste23

    • Consider using multiple antibodies recognizing distinct epitopes

    • Evaluate how sample preparation might affect epitope conformation or accessibility

  • Context-specific interpretation:

    • Consider how Ste23's dual role with Cym1 might affect detection in different contexts

    • Evaluate results in light of known biological variables (e.g., growth conditions, cell type)

What statistical approaches are recommended for analyzing STE23 antibody binding data in comparative studies?

For rigorous statistical analysis of Ste23 antibody binding data in comparative studies, researchers should consider these methodological approaches:

  • Data normalization strategies:

    • Normalize binding data to appropriate reference standards to account for inter-assay variability

    • Consider log transformation of antibody titers or binding values to achieve normal distribution

    • Use internal controls in each assay to enable comparison across experiments

  • Statistical test selection:

    • For comparing two experimental groups: Student's t-test (parametric) or Mann-Whitney U test (non-parametric)

    • For multiple group comparisons: ANOVA with appropriate post-hoc tests (e.g., Tukey's or Bonferroni)

    • For correlation analysis: Pearson's or Spearman's correlation coefficients depending on data distribution

  • Sample size and power considerations:

    • Perform power analysis to determine adequate sample sizes for detecting biologically relevant differences

    • Consider the inherent variability in antibody binding assays when calculating required sample sizes

    • Implement sequential testing approaches when appropriate to optimize resource use

  • Specialized analytical approaches:

    • For time-course studies: Repeated measures ANOVA or mixed models analysis

    • For high-dimensional data: Principal component analysis or other dimensionality reduction techniques

    • For threshold determination: Receiver operating characteristic (ROC) curve analysis

  • Reporting standards:

    • Clearly state all statistical methods used, including software packages and versions

    • Report both effect sizes and p-values, with appropriate confidence intervals

    • Document how outliers were identified and handled in the analysis

What are promising methodological approaches for studying the relationship between STE23 and disease models?

Investigating the relationship between Ste23 and disease models, particularly those involving mitochondrial dysfunction, presents several promising methodological avenues:

  • Transgenic model systems:

    • Generate conditional Ste23 knockout or knockdown models in various organisms

    • Develop models expressing mutant forms of Ste23 (e.g., catalytically inactive E121Q variant)

    • Create models with fluorescently tagged Ste23 for real-time visualization

  • Disease model integration:

    • Introduce Ste23 modifications into established models of neurodegenerative diseases, particularly those involving amyloid β pathology

    • Evaluate the impact of Ste23 modulation in models of mitochondrial disease

    • Assess how Ste23-Cym1 cooperation affects disease progression in relevant models

  • Therapeutic antibody development:

    • Explore the potential of antibodies that modulate Ste23 activity (inhibitory or enhancing)

    • Develop bispecific antibodies similar to the approach used for STEAP1 that could target Ste23 and disease-relevant proteins

    • Implement screening approaches to identify antibodies with desired modulatory effects

  • Clinical correlation studies:

    • Develop sensitive assays to measure Ste23 levels or activity in patient samples

    • Correlate Ste23 parameters with disease markers and clinical outcomes

    • Establish Ste23 antibody panels for potential diagnostic applications

  • High-throughput screening approaches:

    • Develop cell-based assays for Ste23 activity suitable for compound screening

    • Implement antibody-based readouts for measuring Ste23 levels or subcellular localization

    • Screen for compounds or biologics that modulate the Ste23-Cym1 interaction

These methodological approaches offer promising avenues for investigating the potential role of Ste23 in disease pathogenesis and therapeutic intervention, particularly in conditions involving mitochondrial dysfunction or peptide metabolism disorders.

How can researchers effectively validate novel STE23 antibodies for use in emerging experimental techniques?

For validating novel Ste23 antibodies in emerging experimental techniques, researchers should implement this comprehensive validation framework:

  • Baseline characterization:

    • Determine antibody isotype, specificity, and binding kinetics

    • Map epitopes using peptide arrays or mutational analysis

    • Establish cross-reactivity profiles against related proteins

  • Technique-specific validation matrix:

TechniquePrimary Validation MethodsSecondary Validation MethodsCritical Controls
CRISPR ScreensTarget knockout verificationRescue experimentsNon-targeting antibodies
Single-cell technologiesCorrelation with transcript levelsSpike-in controlsIsotype controls matched to cell number
Spatial proteomicsCo-localization with known markersSignal absence in knockout samplesSecondary-only controls
Live-cell imagingPhotobleaching characteristicsFunctionality testsUntagged fluorophore controls
Proximity labelingValidation of labeling radiusComparison with known interactorsCatalytically dead enzyme controls
  • Application-specific optimization:

    • For high-resolution microscopy: Evaluate epitope accessibility under various fixation conditions

    • For immunoprecipitation-based techniques: Optimize buffer conditions to preserve target complexes

    • For flow cytometry: Determine optimal antibody concentration and staining conditions

  • Performance metrics establishment:

    • Define quantitative performance thresholds for each application

    • Establish reproducibility parameters including intra- and inter-lab variability

    • Document lot-to-lot variability and stability under various storage conditions

  • Benchmarking approach:

    • Compare performance against existing gold standard methods

    • Validate findings using orthogonal approaches

    • Establish reference samples for ongoing quality control

This structured validation framework ensures that novel Ste23 antibodies are rigorously characterized for use in emerging experimental techniques, promoting data reliability and reproducibility across research applications.

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