dss-1 Antibody

What is DSS1 and why is it an important research target?

DSS1 (Deleted in Split hand/Split foot 1), also known as SHFM1 or SEM1, is a 70 amino acid, 8 kDa protein that is a member of the DSS1/SEM1 family . Recent research has identified DSS1 as an integral component of the INTAC backbone module, essential for maintaining the stability of INTAC . This small but versatile protein plays significant roles in multiple cellular processes including DNA repair through its association with BRCA2, as well as roles in the proteasome complex as SEM1 (26S proteasome complex subunit) . Its involvement in these fundamental cellular processes makes it an important target for research across multiple disciplines including cancer biology, genetics, and cell physiology.

What types of DSS1 antibodies are available for research applications?

Based on the available search results, researchers have access to a variety of DSS1 antibodies with different specifications:

This diversity allows researchers to select antibodies tailored to their specific experimental needs, model organisms, and detection methods .

What are the validated applications for DSS1 antibodies in research?

DSS1 antibodies have been validated for multiple research applications as evidenced by the search results:

The versatility across multiple techniques makes DSS1 antibodies valuable tools in research settings. The antibody selection should be guided by the specific application needs and the target species of interest .

How should I optimize immunohistochemistry protocols for DSS1 antibodies?

For optimal immunohistochemical detection of DSS1, several methodological considerations should be addressed:

• Antigen Retrieval: The search results suggest using TE buffer pH 9.0 for antigen retrieval, with an alternative option of citrate buffer pH 6.0 .

• Dilution Optimization: For IHC applications, a recommended dilution range of 1:50-1:500 is suggested, but researchers should optimize this for their specific tissue samples .

• Positive Control Tissues: Human skin cancer tissue, human cervical cancer tissue, and human placenta tissue have been validated as positive controls for DSS1 antibody staining .

• Protocol Specificity: Proteintech offers a product-specific IHC protocol for their DSS1 antibody (13639-1-AP), which provides detailed methodology for optimal results .

• Sample-Dependent Considerations: The search results note that optimal conditions may be "sample-dependent," emphasizing the need for protocol optimization based on the specific tissue being examined .

What methodological approaches are used for co-immunoprecipitation with DSS1 antibodies?

Based on the search results, the following methodology for co-immunoprecipitation with DSS1 antibodies can be outlined:

• Cell Preparation: Harvest cells (1-2×10^7) by scraping and wash twice with ice-cold PBS. Normalize by weight when comparing multiple cell lines to account for variations in cellular mass .

• Lysis Conditions: Resuspend cell pellet in ice-cold lysis buffer (20 mM Tris-HCl pH 8.0, 150 mM NaCl, 1 mM EDTA, 0.2-0.5% NP40, 10% glycerol, 1× protease inhibitor) and gently rotate at 4°C for 1 hour .

• Lysate Clarification: Centrifuge at 20,000g for 20 minutes at 4°C to clarify the lysate .

• Antibody Incubation: Incubate the supernatant with 2-5 μg of relevant antibody (including DSS1 antibody) per immunoprecipitation reaction, rotating at 4°C for 9.5 hours .

• Bead Preparation and Capture: Use rProtein A/G MagPoly Beads pre-blocked with 1 mg/ml BSA for 1 hour. Add the beads to samples and rotate for 3 additional hours at 4°C .

• Washing and Elution: Collect samples using a magnetic rack and wash beads four times with lysis buffer. Elute by adding 50-100 μl of 1× SDS loading buffer, followed by western blot analysis .

This detailed methodology provides a foundation for researchers seeking to investigate DSS1 protein interactions through co-immunoprecipitation approaches .

What storage and handling recommendations ensure optimal DSS1 antibody performance?

Based on the search results, the following storage and handling guidelines are recommended for DSS1 antibodies:

• Storage Temperature: Store at -20°C for stability lasting one year after shipment .

• Aliquoting Considerations: Aliquoting is noted as unnecessary for -20°C storage, which simplifies handling procedures .

• Buffer Composition: The antibody is typically provided in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3, providing stability during storage .

• Small Volume Considerations: For smaller volumes (e.g., 20μl sizes), formulations may contain 0.1% BSA as a stabilizing agent .

• Working Solution Preparation: While not explicitly stated for DSS1 antibodies, standard practice suggests preparing working dilutions fresh on the day of experiment and storing at 4°C during short experimental timeframes.

Adherence to these storage and handling recommendations helps maintain antibody integrity and experimental reproducibility .

How can specificity of DSS1 antibodies be validated in experimental systems?

Validating antibody specificity is crucial for ensuring reliable research results. Based on the search results, several approaches can be employed:

• Knockout/Knockdown Validation: Two publications cited in the search results use knockdown or knockout systems to validate DSS1 antibody specificity . The search results mention a dTAG endogenous knock-in system that could be employed for controlled protein degradation to validate antibody specificity .

• Multiple Antibody Comparison: Using different antibodies targeting distinct epitopes of DSS1 can confirm signal specificity .

• Recombinant Expression Controls: The search results describe methods for generating stable cell lines expressing wild-type or mutant DSS1 (e.g., W36R mutation), which can serve as positive controls for antibody validation .

• Cross-Reactivity Testing: The search results indicate DSS1 antibodies with various species reactivity including human, mouse, bacteria, and others. Appropriate negative controls should be included to confirm the absence of cross-reactivity with unintended targets .

• Immunogen Consideration: The DSS1 fusion protein Ag4573 is mentioned as the immunogen for at least one antibody, suggesting that peptide blocking experiments using this immunogen could verify specificity .

These validation approaches ensure that experimental observations are attributable to the specific detection of DSS1 rather than non-specific interactions .

What are common technical challenges when using DSS1 antibodies and how can they be addressed?

While the search results don't directly address troubleshooting for DSS1 antibodies, several inferences can be made based on the provided information:

• Optimization of Antigen Retrieval: The search results note that antigen retrieval may be performed with either TE buffer pH 9.0 or citrate buffer pH 6.0, suggesting that insufficient signal might be addressed by testing alternative retrieval methods .

• Sample-Dependent Variability: The search results explicitly state that dilution optimization is "sample-dependent," indicating that researchers may need to test different dilutions for their specific samples to achieve optimal results .

• Protein Size Considerations: DSS1 is a small protein (70 aa, 8 kDa), which can present challenges for western blot detection. The calculated molecular weight information provided helps researchers identify the correct band on western blots .

• Non-Specific Binding: While not directly addressed, the diversity of antibodies available from different hosts (rabbit, goat) suggests that researchers encountering non-specific binding with one antibody might try an alternative from a different host or supplier .

• Application-Specific Optimization: The detailed dilution recommendations for different applications (IHC: 1:50-1:500) indicate that each application may require specific optimization, particularly when transitioning between different techniques .

By anticipating these challenges, researchers can develop strategies to overcome technical limitations and achieve more consistent results when working with DSS1 antibodies .

How can DSS1 antibodies be integrated into genome-editing research workflows?

The search results provide insights into how DSS1 antibodies can be utilized in conjunction with genome editing approaches:

• dTAG Endogenous Knock-in Systems: The search results describe a methodology for generating dTAG endogenous knock-in cell lines, which can be used for controlled protein degradation studies. DSS1 antibodies would be essential for validating the effectiveness of this system through western blot analysis .

• Mutant Validation: The search results mention the generation of DSS1 mutants (e.g., W36R), which would require antibody-based validation to confirm expression and analyze functional differences .

• CRISPR-based Approaches: The PITCh plasmid system described for targeting specific genomic sites could be used to modify DSS1, with antibody-based detection serving as a crucial validation step .

• Lentiviral Overexpression Systems: The methodology for generating stable cell lines overexpressing wild-type or mutant DSS1 indicates that antibodies play a key role in assessing overexpression efficiency .

• Functional Analysis: Following genome editing, DSS1 antibodies enable the assessment of protein interactions, localization changes, and functional consequences through techniques such as co-immunoprecipitation, immunofluorescence, and western blotting .

These applications demonstrate how DSS1 antibodies serve as critical tools in advanced genome editing research, enabling validation and functional characterization of genetic modifications .

What insights do immunofluorescence studies with DSS1 antibodies reveal about its cellular localization and function?

The search results provide methodological details for immunofluorescence studies using DSS1 antibodies, which can reveal important insights about cellular localization and function:

• Procedure for Immunofluorescence Analysis:

  • Cells are cultured on coverslips for at least 24 hours

  • Fixation with 4% paraformaldehyde for 10 minutes

  • Permeabilization with 0.5% Triton X-100 for 10 minutes

  • Blocking with 4% BSA in PBS for 30 minutes

  • Primary antibody incubation overnight at 4°C

  • Secondary antibody incubation for 1 hour

  • Mounting with ProLong Gold Antifade Mountant with DAPI

• Image Acquisition and Analysis: The search results mention using Leica TCS SP8 laser-scanning confocal microscopy for image acquisition, and Fiji built on ImageJ2 for quantification of immunofluorescence intensity and nuclear/cytoplasmic division .

• Functional Insights: While specific findings about DSS1 localization aren't directly stated in the search results, the research context suggests investigating DSS1's role in the INTAC backbone module, which could reveal subcellular localization patterns and potential co-localization with other components of this complex .

• Quantitative Analysis: The methodological approach described includes quantification of immunofluorescence intensity, suggesting that researchers can obtain quantitative data about DSS1 expression levels and localization patterns in different cellular compartments .

These approaches enable researchers to gain insights into the dynamic localization and functional associations of DSS1 within cellular contexts .

How does DSS1 function in the INTAC complex and what research tools can investigate this relationship?

The search results provide specific information about DSS1's role in the INTAC complex:

• Functional Significance: DSS1 is highlighted as "an integral component of the INTAC backbone module, essential for maintaining the stability of INTAC" .

• Research Tools and Approaches:

  • Co-immunoprecipitation: The detailed Co-IP methodology provided can be used to investigate interactions between DSS1 and other INTAC components .

  • Stable Cell Lines: The protocols for generating stable cell lines overexpressing wild-type or mutant DSS1 enable functional studies of how these variants affect INTAC stability .

  • Controlled Protein Degradation: The dTAG endogenous knock-in system described allows for controlled degradation of DSS1 to study the immediate consequences on INTAC integrity .

  • Immunofluorescence: The immunofluorescence methodology enables visualization of co-localization between DSS1 and other INTAC components .

  • Lentiviral Delivery: Methods for lentiviral delivery of DSS1 variants provide tools for rescue experiments or structure-function analyses .

• Potential Experimental Designs:

  • Comparing wild-type DSS1 with the W36R mutant to assess structure-function relationships within INTAC

  • Using controlled protein degradation to assess immediate vs. long-term consequences of DSS1 loss on INTAC stability

  • Conducting co-IP experiments under different cellular stresses to understand dynamic interactions

This information provides researchers with methodological approaches to investigate DSS1's role in maintaining INTAC stability, a previously highlighted function of this versatile protein .

How should western blot data using DSS1 antibodies be interpreted, particularly given its small size?

Interpreting western blot data for DSS1 requires special consideration due to its small size:

• Expected Molecular Weight: The search results indicate that DSS1 is a 70 amino acid protein with a calculated molecular weight of 8 kDa . This small size can present challenges for standard western blot protocols.

• Gel Selection: While not explicitly stated in the search results, proteins of this size typically require higher percentage gels (15-20%) or specialized systems like Tricine-SDS-PAGE for optimal resolution.

• Transfer Considerations: Small proteins can pass through standard PVDF membranes during extended transfer times. Researchers should consider using nitrocellulose membranes with smaller pore sizes or optimizing transfer conditions.

• Confirming Specificity: The search results mention knockout/knockdown approaches for validation, which are particularly important for small proteins where non-specific bands might be misinterpreted .

• Positive Controls: Including samples from cells overexpressing DSS1 (as described in the lentiviral overexpression methodology) can provide valuable positive controls for band identification .

• Multiple Antibody Validation: Using different antibodies targeting distinct epitopes can provide additional confidence in band identification, especially important for small proteins .

By considering these factors, researchers can more accurately interpret western blot data for DSS1, despite the challenges presented by its small molecular weight .

How can discrepancies in DSS1 antibody-based research results be reconciled?

When faced with discrepancies in research results using DSS1 antibodies, several approaches can help reconcile these differences:

• Antibody Characterization Differences:

  • The search results show diverse antibodies available with different hosts, epitopes, and validation standards

  • Researchers should consider whether discrepancies might arise from fundamental differences in antibody characteristics

• Methodological Variations:

  • The search results note that optimal dilutions are "sample-dependent"

  • Different antigen retrieval methods (TE buffer pH 9.0 vs. citrate buffer pH 6.0) might yield different results

• Experimental Design Approaches:

  • Antibody Panel Testing: Using multiple antibodies from different sources against the same samples

  • Multiple Technical Approaches: Confirming findings with complementary techniques (e.g., IF, WB, and IHC)

  • Genetic Validation: Using the genome editing approaches described to create controls that can definitively validate antibody specificity

• Context-Dependent Expression:

  • DSS1's role in the INTAC backbone module suggests its expression or detection might be influenced by cellular context or stress conditions

  • Researchers should consider whether experimental conditions might affect DSS1 expression or epitope accessibility

• Quantitative Analysis:

  • The immunofluorescence methodology mentions quantification approaches using ImageJ/Fiji, suggesting that quantitative analysis rather than binary presence/absence might help resolve apparent discrepancies

By systematically exploring these factors, researchers can better understand and reconcile discrepancies in DSS1 antibody-based research results .

How can DSS1 antibodies be leveraged to understand BRCA2 and DNA repair pathways?

While the search results don't directly discuss BRCA2 associations in detail, they provide methodology that can be applied to this research area:

• Research Context: The search results briefly mention that DSS1 "prevents R-loop accumulation and associates with TREX-2 mRNA export factor PCID2" , suggesting roles in genomic stability that align with known BRCA2 functions.

• Methodological Approaches:

  • Co-immunoprecipitation: The detailed Co-IP methodology can be adapted to investigate DSS1-BRCA2 interactions under different conditions

  • Immunofluorescence Co-localization: The IF methodology enables visualization of potential co-localization between DSS1 and BRCA2 or other DNA repair factors

  • Genetic Manipulation: The genome editing and lentiviral expression systems described provide tools for structure-function analyses of DSS1 in DNA repair contexts

• Experimental Design Considerations:

  • Inducing DNA damage with various agents to assess dynamic changes in DSS1-BRCA2 interactions

  • Using the controlled protein degradation system (dTAG) to assess immediate consequences of DSS1 loss on DNA repair efficiency

  • Comparing wild-type DSS1 with mutants in rescue experiments to identify critical regions for BRCA2 interaction

• Analytical Approaches:

  • Quantitative analysis of repair foci formation using the imaging analysis methodology described

  • Assessing changes in genomic stability markers following DSS1 manipulation

These approaches can help researchers leverage DSS1 antibodies to gain deeper insights into BRCA2-associated DNA repair functions .

What are the emerging research directions for DSS1 antibody applications?

Based on the search results, several emerging research directions for DSS1 antibody applications can be identified:

• INTAC Complex Stability and Function: The identification of DSS1 as an integral component of the INTAC backbone module opens new research avenues exploring how this small protein contributes to complex stability and function .

• Functional Genomics Approaches: The detailed methodologies for genome editing, including dTAG endogenous knock-in and lentiviral overexpression systems, provide powerful tools for functional genomics studies of DSS1 .

• Proteasomal Functions: DSS1's alternative name as SEM1 (26S proteasome complex subunit) suggests important roles in protein degradation pathways, which can be further explored using the antibody-based techniques described .

• Cancer Biology Applications: The immunohistochemical analysis of human skin cancer and cervical cancer tissues indicates potential applications in cancer research, potentially linking DSS1 functions to cancer development or progression .

• Quantitative Cellular Analysis: The described methodologies for quantitative immunofluorescence analysis enable more sophisticated studies of DSS1 dynamics, localization, and functional associations .

These emerging directions highlight the versatility of DSS1 antibodies as research tools across multiple biological disciplines, from fundamental molecular mechanisms to disease relevance .

What recommendations can improve reproducibility in DSS1 antibody-based research?

To enhance reproducibility in DSS1 antibody-based research, the following recommendations can be derived from the search results:

• Comprehensive Antibody Validation:

  • Utilize knockout/knockdown approaches as described in the search results

  • Implement the dTAG endogenous knock-in system for controlled protein degradation as a validation tool

  • Consider using multiple antibodies targeting different epitopes to confirm findings

• Detailed Methodological Reporting:

  • Report specific dilutions and optimization parameters used (e.g., the 1:50-1:500 range mentioned for IHC)

  • Document antigen retrieval methods (TE buffer pH 9.0 vs. citrate buffer pH 6.0)

  • Include comprehensive protocol details for techniques like Co-IP and IF as demonstrated in the search results

• Appropriate Controls:

  • Include positive control tissues validated for DSS1 expression (skin cancer, cervical cancer, placenta)

  • Generate control cell lines with overexpression or knockout of DSS1 using the methods described

• Quantitative Analysis:

  • Implement quantitative approaches for data analysis using tools like ImageJ/Fiji as mentioned

  • Report statistical analyses and sample sizes for quantitative comparisons

• Biological Context Consideration:

  • Acknowledge DSS1's multiple roles (INTAC component, proteasome subunit) when interpreting results

  • Consider cellular context and stress conditions that might affect DSS1 expression or detection