The zym1 Antibody (Product Code: CSB-PA891518XA01SXV) is a polyclonal antibody raised against the zym1 gene product (UniProt: Q9UTC0) in fission yeast. This protein remains uncharacterized in major biological databases, classified as a "hypothetical protein" with no confirmed molecular function or biological pathway associations .
While direct studies on zym1 are absent in indexed literature, fission yeast antibodies generally serve critical roles in:
Functional genomics: Identifying novel protein interactions in conserved cellular processes .
Cell cycle studies: S. pombe is a model organism for mitosis/meiosis research, where uncharacterized proteins like zym1 may contribute to regulatory mechanisms .
Structural biology: Antibodies enable localization studies via immunofluorescence or immunoprecipitation .
The table below contextualizes zym1 Antibody within similar fission yeast-targeting reagents from the same provider :
| Antibody | Target | UniProt ID | Applications | Size |
|---|---|---|---|---|
| zym1 | Q9UTC0 | Hypothetical | WB, ELISA | 2 mL / 0.1 mL |
| zrg17 | O14329 | Zinc transporter | WB, IHC | 2 mL / 0.1 mL |
| zta1 | O74489 | Stress response | WB, IF | 2 mL / 0.1 mL |
Functional data: No experimental validation (e.g., knockout phenotypes) exists for zym1 in public databases.
Cross-reactivity: Specificity across yeast species or human homologs (if any) remains untested.
Therapeutic potential: Unlike clinical-stage antibodies (e.g., anti-SARS-CoV-2 mAbs ), zym1 Antibody is strictly a research tool.
KEGG: spo:SPAC22H10.13
STRING: 4896.SPAC22H10.13.1
ZMIZ1 (zinc finger and Miz-domain containing 1), previously called Zimp10 (zinc finger, Miz1, PIAS-like protein on chromosome 10), is a 1067 amino acid, approximately 130 kDa cytoplasmic and nuclear protein that functions as a coactivator of the androgen receptor (AR). It enhances AR-mediated transcription and AR sumoylation, and also coactivates other transcription factors such as SMAD4 and p53. ZMIZ1 is normally expressed in human ovary, testis, and prostate epithelial cells . The ZMIZ1 gene has clinical significance as it can be fused to ABL1 in B-cell acute lymphocytic leukemia, making it an important target for research into oncogenic mechanisms .
To ensure reliable results, verify that the antibody documentation provides evidence for: (1) binding to the target ZMIZ1 protein; (2) binding specificity in complex protein mixtures (e.g., cell lysates); (3) absence of cross-reactivity with non-target proteins; and (4) validated performance in your specific experimental conditions and assays . Look for antibodies that have been tested in multiple validation methods, including Western blot, immunohistochemistry, and ideally with knockout or knockdown controls. For ZMIZ1 specifically, check if the antibody has been validated in relevant cell types such as prostate cancer cell lines (e.g., LNCaP) where ZMIZ1 is known to be expressed .
Essential controls include: (1) Positive controls using cell lines or tissues known to express ZMIZ1 (e.g., LNCaP cells, ovarian tissue); (2) Negative controls such as cells where ZMIZ1 is knocked down/knocked out or tissues known not to express the protein; (3) Technical controls including secondary antibody-only controls to check for non-specific binding; and (4) Loading controls for quantitative applications. When performing IHC, include isotype controls to assess non-specific binding . The lack of suitable control experiments has been identified as a major factor contributing to irreproducible antibody-based research .
ZMIZ1 is a large protein (~130 kDa) that requires careful optimization for Western blot detection. Start with the following protocol: (1) Use reducing conditions and Immunoblot Buffer Group 1 as demonstrated in validated protocols; (2) Load sufficient protein (typically 20-50 μg of total protein from LNCaP cell lysate serves as a good positive control); (3) Use lower percentage gels (7-8%) to better resolve this high molecular weight protein; (4) Optimize antibody concentration (1 μg/mL has been validated for ZMIZ1 detection); (5) Ensure complete transfer of large proteins by using longer transfer times or specialized transfer systems . When troubleshooting, remember that ZMIZ1 may appear as multiple bands due to post-translational modifications or alternative splicing, with a 997 aa isoform documented that has an alternate sequence replacing aa 1-94 .
For successful IHC detection of ZMIZ1: (1) Use paraffin-embedded tissue sections with appropriate antigen retrieval (typically heat-induced epitope retrieval in citrate buffer pH 6.0); (2) Apply the antibody at 5 μg/mL concentration (validated for human ovary tissue); (3) Incubate overnight at 4°C for optimal binding; (4) Use an appropriate detection system such as HRP-DAB; (5) Include counterstaining with hematoxylin to provide context for the nuclear localization of ZMIZ1 . Expect specific staining primarily in nuclei, consistent with ZMIZ1's function as a transcriptional coactivator. To validate results, compare staining patterns with published literature and include appropriate tissue controls .
When encountering weak or absent signal: (1) Verify antibody integrity through proper storage conditions (-20 to -70°C for long-term, and avoiding repeated freeze-thaw cycles); (2) Check antibody reconstitution protocols (ZMIZ1 antibodies typically remain stable for 1 month at 2-8°C or 6 months at -20 to -70°C after reconstitution); (3) Increase antibody concentration incrementally; (4) Extend incubation time; (5) Optimize antigen retrieval methods; (6) Confirm target expression in your samples using alternative methods (qPCR for mRNA); (7) Test another antibody lot or supplier if problems persist . The estimated 50% failure rate of commercial antibodies emphasizes the importance of thorough validation and troubleshooting .
Advanced validation approaches include: (1) Genetic validation through testing the antibody in ZMIZ1 knockout or knockdown models; (2) Orthogonal validation by correlating results with other measurement techniques (e.g., comparing protein levels detected by antibody with mRNA levels); (3) Independent antibody validation by using multiple antibodies targeting different epitopes of ZMIZ1; (4) Cross-species reactivity testing, noting that within the immunogenic region, human ZMIZ1 shares 98% and 97% amino acid sequence identity with mouse and rat ZMIZ1, respectively . These comprehensive validation steps are crucial given that ~50% of commercial antibodies fail to meet basic standards for characterization, contributing to an estimated $0.4-1.8 billion per year in financial losses in the United States alone due to irreproducible research .
When investigating ZMIZ1-AR interactions: (1) Design co-immunoprecipitation (Co-IP) experiments using either ZMIZ1 or AR antibodies for the pull-down, followed by reciprocal detection; (2) Include appropriate controls such as IgG control immunoprecipitations and lysates from cells where either protein is depleted; (3) Consider proximity ligation assays (PLA) for visualizing interactions in situ; (4) When performing chromatin immunoprecipitation (ChIP) to study ZMIZ1 recruitment to AR target genes, validate antibody specificity in ChIP applications specifically, as performance can vary across applications . Understanding these interactions is crucial given ZMIZ1's role in enhancing AR-mediated transcription and AR sumoylation, which has implications for prostate cancer research .
Computational methods can significantly improve antibody research through: (1) Epitope prediction to identify optimal antigenic regions in ZMIZ1 for antibody generation; (2) 3D modeling of antibody-antigen binding using homology models and molecular dynamics simulations; (3) Specificity screening against the human proteome to predict potential cross-reactivity; (4) Analysis of protein expression databases to identify optimal positive control tissues . These computational approaches can be especially valuable given ZMIZ1's multiple domains and interaction partners. For example, tools like PIGS server or AbPredict algorithm can generate homology models that, when combined with experimental data such as site-directed mutagenesis and NMR studies, can define the structural features of the antibody-antigen interaction .
Recombinant antibodies offer several advantages: (1) Consistent production without batch-to-batch variation; (2) Defined amino acid sequence allowing precise modifications; (3) Renewable source independent of hybridomas; (4) Potential for engineering to improve specificity, affinity, or add functional domains . Initiatives like NeuroMab have demonstrated the value of converting traditional hybridoma-produced monoclonal antibodies to recombinant formats, making the DNA sequences and expression plasmids publicly available . Although not yet widely available for ZMIZ1, recombinant antibody technology represents the future direction for improving research reproducibility and enabling advanced applications such as bispecific antibody development .
Bispecific antibodies, which can bind two different epitopes or antigens, offer innovative research applications: (1) Simultaneous targeting of ZMIZ1 and its interaction partners (e.g., AR, SMAD4, or p53) to study protein complexes; (2) Improved sensitivity through avidity effects by targeting multiple epitopes on ZMIZ1; (3) Functional studies by linking ZMIZ1 to effector molecules or reporter systems; (4) Potential therapeutic applications in diseases where ZMIZ1 is dysregulated . When considering clinical translation of such approaches, researchers would need to address questions about bispecific antibody therapy similar to those outlined for myeloma treatments, including qualifying factors, physician expertise, and optimal sequencing strategies .
Large-scale initiatives and repositories significantly impact research quality: (1) Repositories like the Developmental Studies Hybridoma Bank (DSHB) provide access to validated antibodies generated through programs like the Protein Capture Reagent Program (PCRP) and NeuroMab; (2) The Research Resource Identifier (RRID) program improves reagent tracking and reproducibility; (3) Initiatives like Affinomics and ProteomeBinders work toward comprehensive collections of validated protein-binding reagents for the human proteome . Although these programs have not yet fully addressed the entire proteome, including less-studied proteins like ZMIZ1, they provide frameworks for improving antibody quality and availability. Researchers should consult these resources when selecting antibodies and consider contributing validation data to community resources .
To maintain antibody integrity: (1) Store lyophilized antibodies at -20 to -70°C until reconstitution; (2) After reconstitution, store at 2-8°C for short-term use (up to 1 month) or aliquot and store at -20 to -70°C for longer-term storage (up to 6 months); (3) Avoid repeated freeze-thaw cycles by preparing appropriately sized aliquots; (4) Use sterile techniques when handling to prevent microbial contamination; (5) Follow manufacturer's reconstitution instructions precisely; (6) Check for visible precipitation before use and centrifuge if necessary . These practices help maintain antibody binding capacity and specificity, which is particularly important for reproducible results in longitudinal studies or when comparing results across experiments.
Proper documentation in publications should include: (1) Complete antibody identification (vendor, catalog number, lot number, RRID if available); (2) Detailed validation performed, including positive and negative controls; (3) Experimental conditions (concentration, incubation time/temperature, buffers); (4) Images of full, unmodified blots with molecular weight markers; (5) Quantification methods and normalization strategies . This comprehensive documentation is essential given that inadequate antibody characterization has cast doubt on results in many scientific papers, contributing to the reproducibility crisis in biomedical research . Transparent reporting allows other researchers to evaluate the quality of the evidence and successfully replicate the work.