NOP53 antibodies are critical for studying its roles in:
Ribosome biogenesis: NOP53 stabilizes the 5S rRNA integration into the large ribosomal subunit .
Tumor suppression: High NOP53 expression correlates with radioresistance in colorectal cancer (CRC) but suppresses autophagy via ZKSCAN3-dependent pathways .
Viral replication: Cytoplasmic translocation of NOP53 supports viral replication by attenuating type I interferon (IFN-β) signaling .
FITC-conjugated antibodies enable tracking NOP53 localization dynamics, such as nucleolar-to-cytoplasmic shifts during viral infection or cellular stress .
Radiotherapy sensitivity: High NOP53 expression in CRC correlates with poor response to neoadjuvant chemoradiotherapy .
Autophagy regulation: NOP53 suppresses autophagy via ZKSCAN3-dependent transcriptional repression of ATG genes and independent histone H3 phosphorylation modulation .
NOP53 interacts with RIG-I to deubiquitinate and inactivate IFN-β signaling, promoting replication of viruses like VSV and HSV-1. Cytoplasmic NOP53 derivatives (e.g., N3-T) enhance viral replication across multiple families .
Commercial antibodies vary in specificity and application suitability (Table 2). FITC-conjugated variants remain underrepresented compared to unconjugated or HRP-conjugated options.
While specific protocols for the FITC-conjugated NOP53 antibody are not publicly documented, general guidelines for intracellular staining apply:
Permeabilization: Use methanol or detergents (e.g., Triton X-100) to access nucleolar NOP53.
Blocking: Incubate with 5% BSA or serum to reduce nonspecific binding.
Staining: Optimize antibody dilution (typically 1:100–1:500) and validate against isotype controls.
Detection: Use FITC-compatible filters (e.g., 488 nm laser) for flow cytometry or microscopy.
Mechanistic studies: Limited data exist on NOP53’s role in LLPS-mediated ribosome assembly and its interaction with viral proteins.
Therapeutic targeting: NOP53 inhibitors or phase separation modulators could enhance radiotherapy efficacy in CRC.
FITC applications: Validation of the FITC-conjugated antibody in high-throughput platforms (e.g., flow cytometry) is needed.
NOP53 (also known as GLTSCR2 or PICT-1) functions as a ribosome biogenesis protein predominantly localized in the nucleolus. It plays crucial roles in pre-rRNA processing and ribosome assembly, particularly in the maturation of 60S ribosomal subunits. Recent research has identified NOP53 as an adaptor protein responsible for recruiting the RNA exosome complex during the processing of 7S pre-rRNA to mature 5.8S rRNA . Beyond ribosomal functions, NOP53 has been implicated in regulating the DNA damage response and influencing radiotherapy resistance in cancer cells by suppressing p53 activation . The protein's dual role in fundamental cellular processes and pathological conditions makes it a compelling target for both basic and translational research.
NOP53 Antibody, FITC conjugated is a polyclonal antibody developed in rabbits using recombinant Human Ribosome biogenesis protein NOP53 (amino acids 227-405) as the immunogen . The antibody specifically targets human NOP53 and has been validated for ELISA applications. Key specifications include:
| Parameter | Specification |
|---|---|
| Host Species | Rabbit |
| Clonality | Polyclonal |
| Target Species | Human |
| Immunogen | Recombinant Human NOP53 protein (227-405AA) |
| Conjugate | FITC (Fluorescein isothiocyanate) |
| Applications | ELISA |
| Purification Method | Protein G purified (>95% purity) |
| Storage Buffer | 50% Glycerol, 0.01M PBS, pH 7.4, 0.03% Proclin 300 |
| Storage Conditions | -20°C or -80°C, avoid repeated freeze-thaw cycles |
The FITC conjugation enables direct fluorescence detection without requiring secondary antibodies, making it particularly valuable for techniques requiring multicolor immunofluorescence or flow cytometry .
Proper validation of NOP53 Antibody, FITC conjugated requires a systematic approach to ensure specificity and reliability across different experimental systems:
Positive control validation: Use cell lines with known NOP53 expression (such as colorectal cancer cell lines) for initial validation . Compare staining patterns with established nucleolar markers like NPM1, which has been shown to colocalize with NOP53 .
Negative control implementation: Include relevant negative controls including:
Secondary antibody-only controls (when using the antibody in non-direct detection methods)
Isotype controls with FITC-conjugated rabbit IgG
Cell lines with NOP53 knockdown/knockout (if available)
Cross-validation with other detection methods: Verify results using complementary techniques such as Western blotting with non-conjugated NOP53 antibodies or RNA expression analysis.
Subcellular localization assessment: NOP53 should predominantly localize to the nucleolus and colocalize with nucleolar markers. Immunofluorescence studies have consistently shown NOP53 colocalizing with NPM1 in both cell lines and clinical specimens .
Specificity testing: Preabsorption of the antibody with recombinant NOP53 protein should abolish or significantly reduce the signal if the antibody is specific.
This comprehensive validation approach ensures that any experimental results obtained using this antibody can be interpreted with confidence and reproducibility.
For optimal immunofluorescence results with NOP53 Antibody, FITC conjugated, researchers should follow this detailed protocol designed to preserve nucleolar architecture and maximize signal-to-noise ratio:
Cell preparation:
Culture cells on poly-L-lysine coated coverslips
Fix cells with 4% paraformaldehyde for 15 minutes at room temperature
Permeabilize with 0.2% Triton X-100 in PBS for 10 minutes
Blocking and antibody incubation:
Block with 3% BSA in PBS for 1 hour at room temperature
Incubate with NOP53 Antibody, FITC conjugated (1:100-1:500 dilution, optimized for each lot) in blocking buffer for 2 hours at room temperature or overnight at 4°C
Wash 3x with PBS containing 0.1% Tween-20
Counterstaining and mounting:
Counterstain nuclei with DAPI (1 μg/ml) for 5 minutes
Mount with anti-fade mounting medium
For colocalization studies with nucleolar markers, include appropriate antibodies (e.g., anti-NPM1) with compatible fluorophores
Microscopy considerations:
Use confocal microscopy for precise nucleolar localization
Employ appropriate filter sets for FITC (excitation ~495 nm, emission ~519 nm)
Adjust exposure settings to avoid photobleaching of the FITC fluorophore
This protocol has been effectively applied in studies demonstrating colocalization of NOP53 with nucleolar protein NPM1 in both colorectal cancer cell lines and patient samples .
LLPS has emerged as a critical mechanism in nucleolar organization and function. NOP53 has been identified as a protein capable of undergoing LLPS, forming liquid-like condensates in the nucleolus . To investigate LLPS properties of NOP53 using the FITC-conjugated antibody:
Live cell imaging approach:
Transfect cells with fluorescent protein-tagged NOP53 constructs
Use the NOP53 Antibody, FITC conjugated to confirm proper localization and behavior of tagged constructs
Perform time-lapse imaging to observe fusion events characteristic of liquid droplets
LLPS disruption assays:
Treat cells with 1,6-hexanediol (5-10%) to disrupt weak hydrophobic interactions
Track changes in NOP53 condensate morphology and distribution using the antibody
Compare results with known LLPS proteins as positive controls
Fluorescence Recovery After Photobleaching (FRAP):
Bleach a small region within NOP53-enriched nucleolar regions
Monitor fluorescence recovery rate to assess molecular dynamics
Analyze FRAP curves to determine mobile fraction and half-time of recovery
Domain-specific analysis:
Multivalent interactions investigation:
This methodological approach provides a comprehensive examination of NOP53's LLPS properties and nucleolar dynamics, contributing to our understanding of how biomolecular condensates regulate ribosome biogenesis.
NOP53 functions as an adaptor protein that recruits the RNA exosome complex for processing 7S pre-rRNA to mature 5.8S rRNA . When investigating this function:
Colocalization analysis with exosome components:
Perform dual immunofluorescence with NOP53 Antibody, FITC conjugated and antibodies against exosome components (Rrp6, Rrp43)
Quantify colocalization using Pearson's correlation coefficient or Manders' overlap coefficient
Focus analysis on pre-60S particles within nucleoli and nucleoplasm
Functional depletion studies:
Use tetracycline-regulated or galactose-regulated systems to deplete NOP53
Monitor changes in exosome localization and pre-rRNA processing
The experimental design should follow established protocols where cells are shifted from galactose to glucose media for 18 hours, or treated with doxycycline for 18 hours in tetracycline-regulated systems
Protein-protein interaction validation:
Combine immunofluorescence with proximity ligation assays
Verify interactions between NOP53 and specific exosome components (Rrp6, Rrp45, Mpp6)
Correlate microscopy data with biochemical interaction data from pulldown assays
Domain-specific interaction mapping:
Generate truncation mutants of NOP53 (similar to those described in the literature)
Assess how different domains affect exosome recruitment and positioning
The antibody can help track localization changes of these mutants if the epitope region is preserved
This systematic approach will help elucidate how NOP53 not only recruits but also correctly positions the exosome complex during 60S ribosomal subunit maturation, expanding our understanding of ribosome assembly dynamics .
Recent studies have established NOP53's role in promoting radiotherapy resistance in colorectal cancer through suppression of the p53 pathway . To investigate this mechanism:
Radiation response analysis protocol:
Expose cancer cells to clinically relevant radiation doses (2-10 Gy)
Use NOP53 Antibody, FITC conjugated for immunofluorescence at defined time points (0, 6, 12, 24 hours post-irradiation)
Quantify changes in NOP53 expression, localization, and condensate formation
Correlate with markers of DNA damage (γH2AX) and p53 activation
Clinical correlation methodology:
Apply the antibody to tissue microarrays from patients with known radiation response outcomes
Develop standardized scoring systems for NOP53 expression levels
Utilize digital pathology approaches for quantitative assessment
This approach has revealed associations between high NOP53 expression and poor response to neoadjuvant chemoradiotherapy
Mechanistic pathway investigation:
Combine NOP53 immunofluorescence with p53 pathway components
Analyze temporal dynamics following irradiation
Implement NOP53 knockdown/overexpression systems to manipulate radioresistance
Correlate LLPS behavior with radioresistance mechanisms
Therapeutic targeting strategy development:
Screen compounds that disrupt NOP53 LLPS or its interaction with p53 pathway components
Use the antibody to monitor effects on NOP53 localization and function
Evaluate combination approaches with radiotherapy
This research framework leverages the FITC-conjugated antibody to develop comprehensive insights into how NOP53 contributes to radiotherapy resistance, potentially identifying novel sensitization strategies for cancer treatment.
To effectively investigate NOP53's protein interaction network within the nucleolus:
Proximity-based interaction analysis:
Implement BioID or APEX proximity labeling with NOP53 as the bait protein
Use NOP53 Antibody, FITC conjugated to verify proper localization of fusion constructs
Confirm interactions through colocalization studies with candidate partners
Domain-specific interaction mapping:
Generate a series of NOP53 truncation mutants similar to those described in the literature :
NOP53(1-80)
NOP53(81-157)
NOP53(161-230)
NOP53(1-300)
NOP53(301-380)
NOP53(382-455)
Use the antibody to confirm expression and localization if the epitope is preserved
Perform co-immunoprecipitation or GST-pulldown assays to map interaction domains
RNA-dependent interaction assessment:
Treat samples with RNase before immunoprecipitation
Determine which interactions are RNA-dependent versus direct protein-protein interactions
Correlate findings with rRNA processing defects
Competitive binding experiments:
Design peptides derived from interaction interfaces
Evaluate disruption of specific interactions
Use the antibody to track changes in localization or complex formation
Quantitative interaction dynamics:
Implement fluorescence correlation spectroscopy or number and brightness analysis
Measure interaction kinetics and stoichiometry
Correlate with functional outcomes in ribosome biogenesis
This comprehensive approach will generate a detailed map of NOP53's interaction network, providing insights into its multifunctional roles in nucleolar processes and cancer-related mechanisms.
For comprehensive cancer-related NOP53 studies:
This methodological framework enables rigorous investigation of NOP53 as a potential biomarker for cancer prognosis and treatment response, particularly in the context of radiotherapy resistance.
Researchers may encounter several challenges when working with NOP53 Antibody, FITC conjugated. Here are common problems and their solutions:
Weak or absent signal:
Cause: Suboptimal antibody concentration, inadequate permeabilization, or epitope masking
Solution: Titrate antibody concentrations (1:50 to 1:500), increase permeabilization time (up to 15 minutes with 0.2% Triton X-100), or implement antigen retrieval (citrate buffer pH 6.0 at 95°C for 15-20 minutes)
High background fluorescence:
Cause: Insufficient blocking, excessive antibody concentration, or non-specific binding
Solution: Extend blocking time (2 hours or overnight), reduce antibody concentration, increase washing steps (5x5 minutes), or add 0.1% Tween-20 to washing buffer
Photobleaching:
Cause: FITC is relatively prone to photobleaching
Solution: Use anti-fade mounting medium, minimize exposure to light during preparation, reduce excitation intensity, or consider taking images from unexposed areas of the sample
Nucleolar structural disruption:
Cause: Harsh fixation or permeabilization conditions
Solution: Use freshly prepared 4% paraformaldehyde, optimize fixation time (10-15 minutes), and adjust permeabilization conditions
Inconsistent staining patterns:
Cause: Cell cycle variations or heterogeneous protein expression
Solution: Synchronize cells if appropriate, increase sample size for quantification, and correlate with cell cycle markers
Nuclear versus nucleolar localization discrepancies:
Cause: NOP53 can relocalize under stress conditions
Solution: Control experimental conditions carefully, document cell culture conditions, and monitor potential stressors
Implementation of these troubleshooting approaches will improve experimental reliability and data quality when working with NOP53 Antibody, FITC conjugated.
NOP53 exhibits dynamic localization and potentially changing functions throughout the cell cycle. To study these dynamics:
Cell synchronization protocol optimization:
Implement double thymidine block for G1/S boundary arrest
Use nocodazole (100 ng/ml, 12-16 hours) for mitotic arrest
Perform serum starvation (0.1% serum, 48 hours) for G0/G1 arrest
Release cells and collect at defined timepoints (0, 2, 4, 6, 8, 10, 12 hours)
Multiparameter analysis setup:
Combine NOP53 Antibody, FITC conjugated with cell cycle markers:
Cyclin D1 (G1)
PCNA or EdU incorporation (S phase)
Phospho-Histone H3 (M phase)
Use compatible fluorophores for multiplexed imaging
Apply quantitative image analysis to measure changes in:
NOP53 signal intensity
Nucleolar versus nucleoplasmic distribution
Colocalization with other nucleolar proteins
Live cell imaging adaptation:
Transfect cells with fluorescent protein-tagged NOP53
Validate localization patterns match antibody staining
Perform time-lapse microscopy through cell cycle progression
Correlate with FUCCI cell cycle reporters
Nucleolar stress response integration:
Combine cell cycle analysis with nucleolar stress inducers
Monitor changes in NOP53 localization and LLPS behavior
Correlate with ribosome biogenesis markers
This comprehensive approach will provide insights into how NOP53's function, localization, and interaction network may be regulated throughout the cell cycle, with implications for both normal cellular physiology and cancer pathobiology.
Recent research has established connections between ribosome biogenesis and DNA damage response pathways, with NOP53 potentially serving as a molecular link . To investigate this relationship:
Integrated stress response analysis:
Expose cells to different stressors:
Radiation (2-10 Gy)
Nucleolar stress (low-dose actinomycin D, 5-10 nM)
Replication stress (hydroxyurea)
Track NOP53 localization and condensate formation using the antibody
Correlate with markers of:
Nucleolar stress (NPM1 translocation)
DNA damage (γH2AX foci)
p53 activation (phospho-p53, p21 induction)
Domain-specific function dissection:
Generate NOP53 constructs with mutations in:
IDR1 (required for LLPS)
M-R motifs (required for nucleolar localization)
Interaction domains for exosome components
Assess how these mutations affect both ribosome biogenesis and DNA damage response
Use the antibody to detect changes in localization and interaction patterns
Temporal dynamics investigation:
Implement precise time-course studies following DNA damage
Document the sequence of events involving NOP53 relocalization
Determine whether NOP53 acts as a sensor, mediator, or effector in connecting these processes
Therapeutic targeting opportunities:
Screen compounds that selectively disrupt NOP53's role in radioresistance
Identify molecules that affect LLPS behavior without impairing ribosome biogenesis
Use the antibody to monitor drug effects on NOP53 localization and function
This research direction could reveal novel therapeutic vulnerabilities in cancer cells with dysregulated ribosome biogenesis and DNA damage response pathways.
Building on findings linking NOP53 to colorectal cancer radioresistance , researchers can implement these methodological approaches:
Patient-derived organoid models:
Establish organoids from colorectal cancer patients with varying radiation responses
Implement immunofluorescence protocols optimized for 3D structures
Correlate NOP53 expression patterns with radiation sensitivity
Perform gene editing to modulate NOP53 expression or function
In situ analysis of clinical specimens:
Apply multiplex immunofluorescence to tissue microarrays
Include markers for:
Proliferation (Ki-67)
Stemness (LGR5, CD44)
DNA damage response (γH2AX, 53BP1)
p53 pathway components
Develop tissue-specific quantification algorithms
Mechanistic pathway investigation:
Implement genetic screens (CRISPR, RNAi) to identify synthetic lethal interactions
Focus on genes that, when inhibited, sensitize NOP53-high cells to radiation
Use the antibody to confirm effective NOP53 targeting
Translational model development:
Establish patient-derived xenograft models from NOP53-high tumors
Test combination therapies targeting NOP53-dependent pathways
Develop companion diagnostic approaches based on NOP53 expression
This comprehensive approach leverages the FITC-conjugated NOP53 antibody to advance both basic understanding of colorectal cancer biology and development of targeted therapeutic strategies to overcome radioresistance.
Emerging super-resolution and quantitative imaging approaches offer new opportunities to study NOP53's role in nucleolar organization:
Super-resolution microscopy implementation:
Apply structured illumination microscopy (SIM) to achieve 120 nm resolution
Implement stimulated emission depletion (STED) microscopy for even higher resolution
Use stochastic optical reconstruction microscopy (STORM) to achieve molecular-scale resolution
These techniques can reveal precise localization of NOP53 within nucleolar subcompartments (fibrillar center, dense fibrillar component, granular component)
Expansion microscopy adaptation:
Protocol modification for nucleolar proteins:
Optimize fixation to preserve nucleolar structure
Adjust digestion conditions to maintain epitope accessibility
Implement post-expansion staining if needed
Combine with conventional confocal microscopy for improved resolution
Correlate NOP53 localization with rRNA processing sites
Live-cell dynamics quantification:
Combine with fluorescence recovery after photobleaching (FRAP)
Implement fluorescence correlation spectroscopy (FCS)
Apply raster image correlation spectroscopy (RICS)
These techniques can quantify diffusion rates, binding kinetics, and molecular interactions
Correlative light and electron microscopy (CLEM):
Localize NOP53 using the FITC-conjugated antibody
Process the same sample for electron microscopy
Correlate fluorescence signal with ultrastructural features
This approach bridges molecular specificity with ultrastructural context
These advanced imaging approaches will provide unprecedented insights into how NOP53 contributes to nucleolar organization and function, particularly in the context of liquid-liquid phase separation and ribosome biogenesis.