RANBP10 regulates RAN-GTPase activity, influencing nucleocytoplasmic transport, spindle assembly, and microtubule dynamics . It localizes to cytoplasmic microtubules in megakaryocytes and platelets, where it maintains filament integrity . Dysregulation of RANBP10 is implicated in:
Cancer Progression: Overexpression in glioblastoma (GBM) correlates with poor patient survival. Knockdown reduces GBM cell proliferation, migration, and invasion by stabilizing c-Myc via FBXW7 suppression .
Viral Pathogenesis: Facilitates nuclear import of human papillomavirus (HPV) DNA by interacting with viral protein L2 .
Boster Bio validates A09936 using:
Western Blot: Detects endogenous RANBP10 in human skeletal muscle lysates at 1–2 μg/mL .
Immunohistochemistry: Clear staining in human skeletal muscle at 5 μg/mL .
Immunofluorescence: Localizes RANBP10 in mouse skeletal muscle at 20 μg/mL .
Glioblastoma: RANBP10 knockdown in U-87 MG and LN-229 cells induced G1-phase cell cycle arrest and suppressed tumor growth in xenograft models .
Prostate Cancer: Associated with androgen receptor activation, though this antibody’s utility here remains untested .
HPV Infection: Co-localizes with HPV L2 protein in perinuclear regions, aiding viral DNA nuclear delivery during mitosis .
Biomarker Potential: High RANBP10 expression in GBM suggests prognostic value .
Therapeutic Target: Targeting RANBP10 could disrupt microtubule-dependent processes in cancer or viral infection .
RANBP10 is a cytoplasmic guanine nucleotide exchange factor that shares high sequence similarity to MET-interacting protein RANBP9. It functions through interactions with several proteins, including MET, RAN, YPEL5, Protein Kinase C (PKC), and β1-tubulin . Research significance stems from its roles in cell cycle regulation, spindle assembly, transcriptional control, and disease processes. RANBP10 is emerging as an important research target due to its overexpression in several cancer types, including glioblastoma, prostate cancer, and other malignancies . Additionally, it plays critical roles in platelet function and thrombus stability, making it relevant for hematological research .
Several RANBP10 antibodies are commercially available with different specifications:
Researchers should note that due to the existence of a paralog named RANBP10 with extensive protein similarity to RANBP9, there are limitations in antibody specificity and affinity that should be considered when selecting appropriate reagents .
Based on validated protocols, the following dilution ranges are recommended:
It is strongly recommended to titrate antibodies in each experimental system to obtain optimal results, as the performance can be sample-dependent .
For optimal Western blot detection of RANBP10:
Sample preparation: Use appropriate lysis buffers containing protease inhibitors to prevent degradation of RANBP10 (67-70 kDa).
Protein loading: Load 20-50 μg of total protein per lane depending on RANBP10 expression levels in your sample.
SDS-PAGE conditions: Use 8-10% polyacrylamide gels for optimal separation of RANBP10.
Transfer conditions: Transfer to PVDF or nitrocellulose membranes at 100V for 60-90 minutes in standard transfer buffer.
Blocking: Block with 5% non-fat milk or BSA in TBST (PBS with 0.02% sodium azide and 50% glycerol pH 7.3 is commonly used in storage buffers) .
Antibody dilution: Dilute primary RANBP10 antibody at 1:500-1:1000 in blocking buffer and incubate overnight at 4°C .
Positive controls: Include known RANBP10-expressing cells (MCF-7, LNCaP cells, mouse brain tissue) as positive controls .
Troubleshooting: When encountering low signal-to-noise ratios, optimizing blocking conditions or using alternative antibodies may be necessary, as some commercially available αRANBP9 antibodies have limited detection power .
For immunohistochemical detection of RANBP10:
Tissue preparation: Fix tissues in 10% formalin, process routinely, and embed in paraffin.
Sectioning: Cut 4-μm-thick sections.
Deparaffinization: Dewax in xylene and rehydrate through graded ethanol solutions.
Antigen retrieval: Heat tissue sections at 96-98°C for 25 minutes in citrate solution (10 mmol/L, pH 6.0) or use TE buffer (pH 9.0) as an alternative .
Endogenous peroxidase blocking: Immerse sections in methanol with 0.3% hydrogen peroxide for 15 minutes.
Antibody dilution: Use RANBP10 antibody at 1:20-1:200 dilution and incubate at 4°C overnight .
Secondary antibody: Incubate with horseradish peroxidase-labeled secondary antibody for 30 minutes.
Visualization: Use 3,3′-Diaminobenzidine (DAB) as the chromogen and hematoxylin as the nuclear counterstain.
Positive tissue controls: Include human heart tissue or human hepatocirrhosis tissue as positive controls .
For successful immunoprecipitation of RANBP10:
Lysate preparation: Extract total proteins using appropriate lysis buffers containing protease inhibitors.
Pre-clearing: Incubate 1 mg of total protein extracts with Protein A/G Plus Agarose for 1 hour at 4°C to reduce non-specific binding.
Antibody incubation: After centrifugation, collect the supernatant and incubate with 5 μg of RANBP10 antibody overnight at 4°C, or use resin-conjugated antibodies (e.g., αHA-Agarose antibody for tagged RANBP10) .
Washing: Wash the immunoprecipitates thoroughly with cold lysis buffer.
Elution and analysis: Elute precipitated proteins and analyze by Western blot.
Detection of interacting partners: Probe for known RANBP10-interacting proteins such as members of the CTLH complex (Gid8, Muskelin, Maea, Armc8, Wdr26, Rmnd5A) or its paralog RanBP10 .
The advantage of using epitope-tagged RANBP10 (such as the RanBP9-TT mouse model with V5-HA tags) is increased detection sensitivity and specificity compared to using RANBP10-specific antibodies, especially for immunoprecipitation experiments .
RANBP10 antibodies are valuable tools for investigating its roles in cancer progression through multiple approaches:
Expression profiling: Use immunohistochemistry and Western blotting to assess RANBP10 expression levels in tumor vs. normal tissues. Studies have shown RANBP10 overexpression in GBM correlates with poor patient survival .
Functional studies: Combine RANBP10 antibodies with knockdown or overexpression experiments to validate protein modulation. For example:
Mechanistic investigations: Use co-immunoprecipitation with RANBP10 antibodies to identify interacting partners in cancer cells. In GBM, RANBP10 was shown to suppress FBXW7 promoter activity and increase c-Myc protein stability .
Prognostic marker evaluation: Correlate RANBP10 expression data from immunohistochemistry with patient outcomes. In GBM patients, high RANBP10 expression was closely linked to poor survival .
Therapeutic target validation: Use RANBP10 antibodies to confirm target engagement in preclinical models testing potential therapeutic interventions against RANBP10-dependent cancer processes.
To investigate RANBP10's role in microtubule dynamics and platelet function:
Colocalization studies: Use immunofluorescence with RANBP10 antibodies alongside microtubule markers to examine colocalization in megakaryocytes and platelets.
Ultrastructural analysis: Combine immunogold labeling with electron microscopy to visualize RANBP10 localization at the nanoscale level.
Live-cell imaging: Use GFP-tagged RANBP10 constructs validated by antibody detection to track dynamic changes during platelet activation.
Functional assays: Compare wild-type and RANBP10-null platelets using:
Platelet aggregation testing
Granule release assays
Clot retraction measurements
Intravital microscopy to assess thrombus formation and stability in vivo
Biochemical interactions: Immunoprecipitate RANBP10 and probe for co-precipitation of β1-tubulin and other cytoskeletal components.
Research has shown that RanBP10-null mice display a severe bleeding phenotype in tail bleeding assays and impaired thrombus stability in vivo. The mechanism involves altered microtubule equilibrium, with a delayed contraction of the circumferential microtubule coil in response to agonists, attenuating granule centralization and release .
Genetic engineering approaches can overcome limitations of antibody-based detection:
Epitope tagging: The RanBP9-TT mouse model demonstrates how adding V5-HA tags to endogenous RANBP10 enhances detection sensitivity. This strategy:
CRISPR/Cas9 engineering: Using CRISPR/Cas9 for tagging endogenous RANBP10 provides advantages:
Knockout validation: Generating RANBP10 knockout models provides critical negative controls for antibody specificity assessment.
Reporter systems: Creating fluorescent protein fusions can complement antibody detection for live-cell imaging and spatiotemporal studies.
In research comparing detection methods, αV5 tag-based detection showed superior sensitivity and specificity (lower background) compared to both αHA and αRanBP9-specific antibodies, particularly in liver samples where conventional antibodies yielded barely detectable signals .
Researchers working with RANBP10 antibodies frequently encounter these challenges:
Limited specificity: Due to high sequence similarity with paralog RANBP9, specificity issues are common.
Solution: Use genetic knockouts or knockdowns as negative controls; consider using epitope-tagged RANBP10 for increased specificity.
Low detection sensitivity: Many commercial antibodies show weak signals, especially in WB applications.
Solution: Increase protein loading; extend primary antibody incubation time (overnight at 4°C); use signal enhancement methods; consider more sensitive detection systems.
High background in IHC/IF: Non-specific binding creates interpretation difficulties.
Solution: Optimize blocking conditions (5% BSA or non-fat milk); increase antibody dilution; include appropriate negative controls; use more stringent washing procedures.
Cross-reactivity concerns: Antibodies may detect both RANBP9 and RANBP10.
Solution: Perform validation using RANBP10-specific knockout tissues; use epitope tags as demonstrated in the RanBP9-TT mouse model .
Inconsistent results across applications: An antibody working well for WB may fail in IHC.
Solution: Validate antibodies specifically for each application; optimize protocols individually for different applications; consider using application-specific antibodies.
Thorough validation of RANBP10 antibodies is essential:
Genetic knockout/knockdown controls: Test antibodies on samples with reduced or eliminated RANBP10 expression:
Use RANBP10 siRNA/shRNA-treated cells
Employ CRISPR/Cas9-engineered RANBP10 knockout cell lines
Utilize tissues from RANBP10 knockout mouse models
Paralog specificity assessment: Confirm specificity against the RANBP9 paralog:
Test on cells overexpressing either RANBP9 or RANBP10
Compare expression patterns with known differential tissue distribution
Perform side-by-side testing with RANBP9-specific antibodies
Multiple antibody comparison: Use different antibodies recognizing distinct epitopes:
Compare staining patterns across several commercial antibodies
Correlate findings with mRNA expression data
Verify expected molecular weight (67-70 kDa for RANBP10)
Tagged protein controls: Express epitope-tagged RANBP10 and detect with both tag-specific and RANBP10-specific antibodies:
Mass spectrometry confirmation: Perform mass spectrometry analysis of immunoprecipitated proteins to confirm antibody specificity.
Consider epitope tagging when:
Facing detection limitations: When commercial RANBP10 antibodies show poor performance, epitope tagging can dramatically improve detection:
Requiring highly specific immunoprecipitation: Epitope tags typically enable cleaner and more efficient immunoprecipitation:
Performing multi-parameter detection: When co-staining with antibodies from the same host species would cause cross-reactivity issues.
Implementation approaches:
In vitro overexpression: Transfect cells with tagged RANBP10 constructs
Suitable for preliminary studies
May cause artifactual effects due to non-physiological expression levels
CRISPR knock-in strategy: Engineer endogenous tagging
Preserves natural expression patterns and levels
Avoids overexpression artifacts
More technically challenging
Animal model generation: Create knock-in animals as demonstrated with the RanBP9-TT mouse model
RANBP10 has emerging roles in neurodegenerative conditions, including Huntington's disease (HD), with antibody-based detection being crucial for research:
Protein aggregation studies: RANBP10 influences huntingtin (HTT) aggregation:
Research applications include:
Expression profiling: Use immunohistochemistry with RANBP10 antibodies to assess expression changes in neurodegenerative disease models and patient samples.
Protein-protein interaction studies: Employ co-immunoprecipitation to investigate interactions between RANBP10 and disease-related proteins like huntingtin.
Therapeutic target validation: Use RANBP10 antibodies to monitor target engagement and effectiveness of RANBP10-directed interventions.
Biomarker development: Investigate whether RANBP10 levels or post-translational modifications could serve as disease biomarkers.
Mechanistic investigations: Combine RANBP10 antibody detection with other methods to elucidate its role in neuronal function and disease pathogenesis.
RANBP10 functions as a transcriptional coactivator, with significant implications for gene expression:
Androgen receptor (AR) coactivation:
Viral gene regulation:
FBXW7 transcriptional regulation:
Research approaches using antibodies:
Chromatin immunoprecipitation (ChIP): Use RANBP10 antibodies to identify genomic binding regions.
Transcription factor complex analysis: Immunoprecipitate RANBP10 to identify associated transcription factors.
Luciferase reporter assays: Combine with RANBP10 antibody validation to correlate protein expression with functional effects.
Co-immunoprecipitation (Co-IP): Identify interaction partners involved in transcriptional regulation.
Emerging antibody technologies promise to enhance RANBP10 research:
Single-domain antibodies (nanobodies):
Smaller size allows better tissue penetration
Can access epitopes inaccessible to conventional antibodies
Potential for improved specificity against RANBP10 vs. RANBP9
Recombinant antibody fragments:
Consistent production without batch variability
Engineered for specific applications
Potential for higher specificity through directed evolution
Proximity labeling approaches:
Antibody-enzyme fusions that catalyze biotinylation of nearby proteins
BioID or APEX2 fusions to study RANBP10 proximal interactome
Enhanced detection of transient interactions
Intrabodies:
Antibodies designed for intracellular expression
Allow real-time tracking of RANBP10 in living cells
Potential for functional modulation through specific domain targeting
Multiplexed detection systems:
Simultaneous detection of RANBP10 with multiple interacting partners
Mass cytometry or multiplexed immunofluorescence for comprehensive analysis
Better understanding of context-dependent RANBP10 functions
Optogenetic antibody systems:
Light-controlled antibody-based detection or modulation
Spatiotemporal control of RANBP10 function
Investigation of dynamic RANBP10-dependent processes
These technologies could help overcome current limitations in RANBP10 research related to antibody specificity, sensitivity, and functional analysis capabilities.