rpn1301 Antibody

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Description

Key Features of the Antibody:

PropertyDetail
ClonalityPolyclonal (rabbit origin)
ReactivityHuman
ApplicationsImmunoblotting (0.04–0.4 µg/mL), Immunofluorescence (0.25–2 µg/mL), Immunohistochemistry (1:500–1:1000)
Concentration0.1 mg/mL in buffered aqueous glycerol solution
Storage–20°C; avoid freeze-thaw cycles
ValidationEnhanced validation via protein array (364 human recombinant proteins) and IHC across 44 normal/20 cancer tissues

Applications in Biomedical Research

The HPA051520 antibody is optimized for high-specificity tasks:

Protein Detection and Localization

  • Immunoblotting: Detects RPN1 in lysates, with minimal cross-reactivity due to affinity purification .

  • Immunohistochemistry (IHC): Maps RPN1 expression in formalin-fixed paraffin-embedded tissues, showing strong cytoplasmic staining in glandular cells .

  • Immunofluorescence (IF): Visualizes subcellular localization in HeLa cells, confirming ER association .

Functional Studies

RPN1’s role in glycosylation makes this antibody valuable for studying:

  • ER stress responses

  • Cancer biomarkers (e.g., upregulated RPN1 in hepatocellular carcinoma)

  • Genetic disorders linked to glycosylation defects

Research Findings and Validation

  • Human Protein Atlas: The antibody’s specificity was confirmed through tissue microarrays, showing consistent expression in organs like the liver and pancreas .

  • Enhanced Validation:

    • Independent antibody validation (AB_2677460) via orthogonal methods (e.g., siRNA knockdown correlating with reduced signal) .

    • No cross-reactivity observed in protein array testing .

Comparative Performance in Techniques:

TechniqueSensitivityRecommended Dilution
Western BlotHigh0.04–0.4 µg/mL
IFModerate0.25–2 µg/mL
IHCHigh1:500–1:1000

Technical Considerations

  • Storage: Stable for 12 months at –20°C; reconstitute in PBS .

  • Limitations: Not validated for flow cytometry or in vivo use.

Future Directions

The HPA051520 antibody is a cornerstone for studying RPN1’s role in diseases. Ongoing research leverages its specificity to explore:

  • RPN1 as a therapeutic target in ER stress-related pathologies

  • Mechanisms of glycosylation in viral infection (e.g., SARS-CoV-2 spike protein processing)

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
SPBC342.04 antibody; Uncharacterized protein C342.04 antibody
Target Names
rpn1301
Uniprot No.

Target Background

Function
Rpn13 is a component of the 26S proteasome, a multiprotein complex essential for the ATP-dependent degradation of ubiquitinated proteins. This complex plays a critical role in maintaining protein homeostasis by eliminating misfolded or damaged proteins that could disrupt cellular functions, as well as removing proteins whose functions are no longer needed. Consequently, the proteasome participates in numerous cellular processes, including cell cycle progression, apoptosis, and DNA damage repair. Within the 26S proteasome complex, Rpn13 functions as a proteasomal ubiquitin receptor.
Database Links
Protein Families
ADRM1 family
Subcellular Location
Cytoplasm. Nucleus.

Q&A

What is RPN13 and why is it significant for protein degradation research?

RPN13, also known as regulatory particle non-ATPase 13, functions as a crucial component of the 26S proteasome complex involved in the degradation of damaged or unwanted proteins within cells. The protein plays an essential role in maintaining cellular homeostasis through the regulation of protein turnover pathways. RPN13 specifically serves as a component of the 19S cap proteasome, where it contributes to recognition and processing of proteins marked for degradation . Understanding RPN13 function is particularly important because dysregulation of proteasomal components has been implicated in multiple pathological conditions, including various cancers and neurodegenerative disorders. As such, RPN13 antibodies provide valuable tools for investigating the molecular mechanisms underlying protein degradation and identifying potential therapeutic targets for these conditions .

What are the key specifications of commercially available RPN13 antibodies?

Commercial RPN13 antibodies, such as the PACO35086 polyclonal antibody, typically feature several important characteristics researchers should consider:

SpecificationDetails for RPN13 Antibody PACO35086
Host SpeciesRabbit
Tested ApplicationsELISA
Species ReactivitySaccharomyces cerevisiae
ImmunogenRecombinant S. cerevisiae 26S proteasome regulatory subunit RPN13 protein (2-156AA)
FormLiquid
Storage BufferPreservative: 0.03% Proclin 300, Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Purification Method>95%, Protein G purified
ClonalityPolyclonal
IsotypeIgG
ConjugateNon-conjugated

These specifications allow researchers to assess compatibility with their experimental systems and anticipated applications . When selecting an RPN13 antibody, researchers should carefully evaluate whether the species reactivity, applications, and immunogen design align with their specific research questions and model systems.

How should RPN13 antibodies be stored and handled to maintain optimal activity?

Proper storage and handling of RPN13 antibodies are critical for maintaining their specificity and activity. Based on standard protocols for antibody preservation:

  • Temperature considerations: RPN13 antibodies are typically stored in liquid form with 50% glycerol to prevent freezing at -20°C, which is the recommended long-term storage temperature .

  • Buffer composition: The storage buffer containing 0.03% Proclin 300 as a preservative helps maintain antibody stability and prevent microbial contamination .

  • Aliquoting: To prevent repeated freeze-thaw cycles that can degrade antibody performance, researchers should prepare small, single-use aliquots upon receipt.

  • Handling during experiments: When preparing working dilutions, antibodies should be kept on ice and used within the same day when possible. For diluted antibodies that must be stored, maintaining them at 4°C for short periods (typically 1-2 weeks) is advisable.

  • Contamination prevention: Using sterile techniques when handling antibody solutions will prevent introduction of proteases or contaminants that might degrade the antibodies.

Following these storage and handling guidelines will help ensure consistent results across experiments and maximize the usable lifespan of valuable RPN13 antibody reagents.

What are the methodological considerations for using RPN13 antibodies in proteasome research?

Using RPN13 antibodies for proteasome research requires careful methodological considerations to ensure valid and reproducible results:

  • Experimental design: When investigating RPN13's role in the 26S proteasome, researchers should consider whether they need to detect native protein complexes (requiring non-denaturing conditions) or individual RPN13 molecules (allowing denaturing conditions). RPN13 functions within a large protein complex, so preserving protein-protein interactions may be crucial for certain research questions .

  • Controls: Proper experimental controls are essential, including:

    • Positive controls using samples known to express RPN13

    • Negative controls using samples where RPN13 is absent or knocked down

    • Isotype controls to verify antibody specificity

  • Assay selection: While RPN13 antibodies like PACO35086 are validated for ELISA, researchers investigating protein-protein interactions might employ co-immunoprecipitation approaches, whereas those studying expression patterns might use Western blotting or immunocytochemistry .

  • Signal validation: Cross-validation using multiple detection methods or alternative antibodies can strengthen confidence in observed results. When studying proteins in complex regulatory networks like the proteasome, orthogonal validation approaches are particularly important.

  • Data interpretation: When interpreting results, researchers should consider that changes in RPN13 detection might reflect alterations in protein expression, localization, complex formation, or epitope accessibility due to post-translational modifications.

These methodological considerations help ensure that data generated using RPN13 antibodies accurately reflect the biological processes under investigation.

How can RPN13 antibody signals be optimized for maximum sensitivity and specificity?

Optimizing RPN13 antibody signals requires systematic approaches to enhance signal-to-noise ratios while maintaining specificity:

  • Antibody titration: Similar to studies with oligo-conjugated antibodies, proper titration of RPN13 antibodies is crucial. Research has shown that using vendor-recommended concentrations can lead to unnecessarily high background signal . Researchers should perform detailed titration experiments, testing antibody concentrations across multiple logs (e.g., 1:100, 1:500, 1:1000, 1:5000) to identify the optimal concentration that maximizes specific signal while minimizing background.

  • Blocking optimization: Careful selection and optimization of blocking reagents (BSA, normal serum, or commercial blockers) can significantly reduce non-specific binding. The optimal blocking solution may vary depending on the specific application and sample type.

  • Incubation parameters: Adjusting antibody incubation time and temperature can significantly impact signal quality. For RPN13 detection, extending primary antibody incubation time (overnight at 4°C versus 1-2 hours at room temperature) often improves sensitivity without increasing background.

  • Sample preparation: Optimizing cell or tissue fixation and permeabilization protocols specifically for RPN13 detection can improve epitope accessibility while preserving structural integrity.

  • Signal amplification systems: For low abundance targets, consider enzymatic amplification systems or tyramide signal amplification, being careful to maintain an appropriate signal-to-noise ratio.

  • Background reduction: Research with oligo-conjugated antibodies demonstrates that background signal can account for a major fraction of total signal, particularly with antibodies used at high concentrations . This principle likely applies to RPN13 antibodies as well, suggesting that careful optimization can both improve data quality and reduce experimental costs.

Systematic optimization of these parameters is essential for generating reliable data, particularly when investigating subtle changes in RPN13 expression or localization in different experimental conditions.

What approaches can be used to investigate RPN13's role in disease pathogenesis?

Investigating RPN13's role in disease pathogenesis requires sophisticated experimental approaches:

  • Disease model selection: Researchers should carefully select appropriate models that recapitulate key aspects of the disease under study. Since RPN13 dysregulation has been implicated in both cancer and neurodegenerative disorders, model systems might include patient-derived cell lines, genetically modified organisms, or induced pluripotent stem cell (iPSC)-derived models .

  • Co-localization studies: Combining RPN13 antibodies with markers for specific cellular structures can help determine whether disease states alter RPN13 localization. Similar to approaches used with gp130 antibodies, dual-labeling immunofluorescence can reveal co-localization patterns that may change in disease conditions .

  • Functional assays: Beyond simple detection, researchers should couple RPN13 antibody labeling with functional assays that measure proteasome activity, protein degradation rates, or cell viability to establish causal relationships between RPN13 alterations and disease phenotypes.

  • Interaction proteomics: Immunoprecipitation with RPN13 antibodies followed by mass spectrometry can identify alterations in RPN13's interactome in disease states, potentially revealing novel therapeutic targets.

  • Therapeutic targeting assessment: RPN13 antibodies can be used to evaluate the efficacy of experimental therapeutics designed to modulate proteasome function, helping to establish whether interventions successfully restore normal protein degradation pathways.

These approaches enable researchers to move beyond correlative observations toward mechanistic understanding of RPN13's role in disease processes, potentially leading to novel therapeutic strategies targeting protein degradation pathways.

How can researchers troubleshoot poor signal or high background when using RPN13 antibodies?

When encountering issues with RPN13 antibody performance, systematic troubleshooting approaches can help identify and resolve problems:

  • Signal intensity problems:

    • Verify antibody activity using positive control samples known to express RPN13

    • Increase antibody concentration incrementally while monitoring signal-to-noise ratio

    • Extend incubation time or adjust temperature

    • Consider epitope retrieval methods for fixed samples

    • Evaluate potential sample degradation or inadequate protein extraction

  • High background issues:

    • Research with oligo-conjugated antibodies has shown that recommended antibody concentrations can cause unnecessarily high background . Try reducing RPN13 antibody concentration significantly (10-fold or more)

    • Optimize blocking solutions by testing different blockers (BSA, milk, normal serum)

    • Increase washing duration and number of wash steps

    • Prepare fresh buffers to eliminate potential contaminants

    • With immunohistochemistry, include an endogenous peroxidase blocking step

  • Specificity concerns:

    • Validate signal using complementary techniques (e.g., if Western blot shows unexpected bands, verify with immunoprecipitation)

    • Include competitive blocking with immunizing peptide if available

    • Consider testing alternative RPN13 antibodies targeting different epitopes

  • Sample-related issues:

    • Ensure sample integrity with proper handling and storage

    • Optimize protein extraction protocols specifically for membrane-associated proteins

    • For fixed samples, evaluate whether fixation conditions preserve RPN13 epitopes

  • Application-specific adjustments:

    • For flow cytometry, optimize permeabilization conditions

    • For immunoprecipitation, test different lysis buffers to preserve protein interactions

    • For Western blotting, adjust gel percentage and transfer conditions for optimal resolution

Systematic evaluation of these factors, changing one variable at a time while maintaining appropriate controls, will help identify and resolve issues with RPN13 antibody applications.

What factors should be considered when designing multi-protein detection experiments that include RPN13?

Multi-protein detection experiments including RPN13 require careful planning to yield reliable, interpretable results:

By addressing these considerations during experimental design, researchers can generate reliable multi-protein data that accurately reflects the biological relationships between RPN13 and other proteins of interest.

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