NOP53 Antibody, HRP conjugated

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Description

HRP Conjugation and Detection

HRP-conjugated antibodies amplify signal detection in assays by catalyzing chromogenic or chemiluminescent reactions. For NOP53 detection:

  • Chromogenic substrates (e.g., diaminobenzidine, DAB) produce insoluble pigments for visible staining.

  • Chemiluminescent substrates (e.g., TMB, ABTS) emit light, enabling high sensitivity in western blot imaging .

Research Context

NOP53 is a nucleolar protein implicated in viral replication and tumor suppression. The HRP-conjugated antibody is critical for studying:

  1. Viral Pathogenesis: NOP53 interacts with viral proteins (e.g., HSV-1 γ34.5) to suppress antiviral responses and enhance replication .

  2. Cancer Biology: NOP53 regulates PTEN stability and DNA repair, influencing tumor growth and radioresistance .

Role in Viral Replication

NOP53 promotes viral replication by:

Experimental ConditionEffect on Viral YieldMechanism
Ectopic NOP53 Overexpression↑86–60-fold in HSV-1/F intracellular/extracellular yields Enhances viral mRNA translation via eIF2α dephosphorylation .
NOP53 Knockdown↓24–33-fold in HSV-1/F yields Disrupts γ34.5-PP1α interaction, impairing eIF2α dephosphorylation .
NOP53 Cytoplasmic Translocation↑ Viral replication (HSV-1, VSV)Attenuates RIG-I signaling and type I IFN production .

Key studies: .

Detection in Western Blotting

The HRP-conjugated NOP53 antibody is validated for:

  • Sensitivity: Detects NOP53 in lysates from HEK293T, HeLa, and CRC cells .

  • Specificity: Binds to the C-terminal region, avoiding cross-reactivity with other nucleolar proteins like NPM1 .

Optimal Usage

  • Blocking Peptide: Use Catalog # AAP65244 to confirm binding specificity .

  • Storage: Avoid freeze-thaw cycles to preserve HRP activity .

  • Controls: Use NOP53-deficient cell lines or siRNA-treated samples for negative controls .

Limitations

  • Species Restrictions: Limited to human and pig (predicted homology) .

  • Application Limitation: Not recommended for immunohistochemistry (IHC) or ELISA without validation .

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Orders are typically dispatched within 1-3 business days. Delivery times may vary depending on the purchase method and location. Please contact your local distributor for precise delivery estimates.
Synonyms
Glioma tumor suppressor candidate region gene 2 protein antibody; GLTSCR2 antibody; GSCR2_HUMAN antibody; p60 antibody; PICT1 antibody; protein interacting with carboxyl terminus 1 antibody
Target Names
NOP53
Uniprot No.

Target Background

Function

NOP53 is a nucleolar protein integral to 5S RNP integration into the large ribosomal subunit during ribosome biogenesis. It may also contribute to rRNA transcription. Furthermore, NOP53 functions as a nucleolar sensor, regulating p53 activation in response to ribosome biogenesis disruption, DNA damage, and other stressors. DNA damage or ribosome biogenesis perturbation disrupts the NOP53-RPL11 interaction, enabling RPL11 nucleoplasmic translocation, MDM2 inhibition, and subsequent p53 activation. NOP53 may also positively regulate p53 function in cell cycle arrest and apoptosis via direct interaction, preventing MDM2-mediated ubiquitination and proteasomal degradation. Initially identified as a tumor suppressor, NOP53 influences cell proliferation and apoptosis by positively regulating PTEN stability, counteracting the PI3K-AKT/PKB pathway. It can also inhibit proliferation and promote apoptosis through NF2 interaction. NOP53 may negatively regulate NPM1 by modulating its nucleoplasmic localization, oligomerization, and ubiquitin-mediated proteasomal degradation, thereby preventing NPM1-MYC interaction and negatively regulating MYC-NPM1 complex-mediated transcription. NOP53 may also regulate cellular aerobic respiration. In the antiviral response, NOP53 might attenuate interferon-beta by inhibiting DDX58/RIG-1.

Gene References Into Functions
  1. Blocking cytoplasmic NOP53 translocation (by deleting its nuclear export sequence) abrogated its support of viral replication. Recombinant N3-T protein (NOP53 residues 330-432 and a Tat peptide) attenuated IFN-β and IFN-stimulated gene expression, and decreased IRF3 phosphorylation. PMID: 29677136
  2. Disruption of PICT-1 expression and codon 389 polymorphism may contribute to endometrial cancer pathogenesis or progression. PMID: 29617699
  3. Viral infection induces GLTSCR2 nuclear-to-cytoplasmic translocation, enabling IFN-β attenuation and support of viral replication; however, viral infection does not elevate GLTSCR2 levels. PMID: 27824081
  4. PICT-1 triggers pro-death autophagy by inhibiting rRNA transcription and inactivating the AKT/mTOR/p70S6K pathway in glioblastoma cells. PMID: 27729611
  5. PICT-1 is a major nucleolar sensor of the DNA damage repair response and a key upstream regulator of p53 via the RPL11-MDM2-p53 pathway. PMID: 27829214
  6. PICT-1 codon 389 polymorphism is a risk factor for uterine cervical cancer; PICT-1 counteracts HPV-induced p53 degradation. PMID: 27996172
  7. GLTSCR2 is crucial for positive regulation of telomerase and chromosome stability. PMID: 27357325
  8. GLTSCR2 expression is suppressed in renal cell carcinomas, enhancing the malignant phenotype. PMID: 26724143
  9. GLTSCR2 is essential for normal cellular function and cancer prevention. The JNK-c-jun axis regulates GLTSCR2 activity. PMID: 26903295
  10. GLTSCR2 negatively regulates the NPM-MYC axis, controlling MYC transcriptional activity. GLTSCR2 may suppress MYC hyperactivation-stimulated cancer cell growth. PMID: 25956029
  11. GLTSCR2 down-regulates total NPM expression by decreasing its protein stability. PMID: 25818168
  12. GLTSCR2 expression decreases with increasing cervical lesion grade; GLTSCR2 may play a role in cervical cancer carcinogenesis. PMID: 25118835
  13. PICT1 uses atypical proteasome-mediated degradation to sense nucleolar stress. PMID: 24923447
  14. High PICT1 expression is associated with hepatocellular carcinoma. PMID: 23532381
  15. GLTSCR2 is down-regulated in skin squamous cell carcinomas, and UV light exposure decreases GLTSCR2 stability and sensitizes keratinocytes to DNA damage. PMID: 23942755
  16. PICT-1 self-associates, confirmed by yeast two-hybrid and co-immunoprecipitation assays. PMID: 24735870
  17. GLTCR2 may play a role in breast cancer tumorigenesis, progression, and biological behavior. PMID: 24054033
  18. GLTSCR2 controls cellular proliferation and metabolism via Myc and is induced by mitochondrial stress, suggesting a role in mitochondrial signaling. PMID: 24556985
  19. PICT1 plays a crucial role in gastric cancer progression by regulating the MDM2-TP53 pathway through RPL11. PMID: 24045667
  20. GLTSCR2 functions as a tumor suppressor in prostatic adenocarcinomas. PMID: 23920125
  21. GLTSCR2 is a new member of the nucleolus-nucleoplasmic axis for p53 regulation. PMID: 22522597
  22. Repeated hypoxia downregulates GLTSCR2, increasing glioblastoma cell death resistance and invasiveness. GLTSCR2 restoration suppresses this malignant potential. PMID: 22850112
  23. PICT-1 exhibits a nucleolar distribution similar to proteins involved in rRNA processing, but does not precisely colocalize with UBF1 or Fibrillarin. PMID: 22292050
  24. GLTSCR2 acts as a tumor suppressor by participating in the DNA damage response. PMID: 21741933
  25. PICT1 potently regulates the MDM2-P53 pathway and promotes tumor progression by retaining RPL11 in the nucleolus. PMID: 21804542
  26. Merlin mediates PICT-1-induced growth inhibition by nucleolar translocation and PICT-1 binding. PMID: 21167305
  27. GLTSCR2 down-regulation is observed in seborrheic keratosis, suggesting a protective effect against SK development. PMID: 20185249
  28. KS-Bcl-2 and PICT-1 interact, targeting KS-Bcl-2 to the nucleolus and decreasing its antiapoptotic activity. PMID: 20042497
  29. PICT-1 regulates phosphatidylinositol 3,4,5-trisphosphate signals by controlling PTEN protein stability. PMID: 16971513
  30. PTEN-modulated apoptosis induction is a mechanism of GLTSCR2 tumor suppression. PMID: 17657248
  31. GLTSCR2 is a proapoptotic protein sensitizing cells to hypoxic injury when overexpressed. PMID: 17890897
  32. GLTSCR2 expression is down-regulated in glioblastomas, with genetic alterations such as nonsense mutations and deletions. PMID: 18729076
Database Links

HGNC: 4333

OMIM: 605691

KEGG: hsa:29997

STRING: 9606.ENSP00000246802

UniGene: Hs.421907

Protein Families
NOP53 family
Subcellular Location
Nucleus, nucleolus. Nucleus, nucleoplasm.
Tissue Specificity
Expressed at high levels in heart and pancreas, moderate levels in placenta, liver, skeletal muscle, and kidney, and low levels in brain and lung.

Q&A

What is NOP53 and what are its key functional characteristics?

NOP53 (Nucleolar Protein 53) is a nucleolar protein that has been identified as a key player in multiple cellular processes. Research has demonstrated that NOP53 undergoes liquid-liquid phase separation (LLPS) and forms highly concentrated droplets both in vivo and in vitro . These droplets exhibit liquid-like properties including the ability to fuse with adjacent condensates, rapid fluorescence recovery after photobleaching, and sensitivity to 1,6-hexanediol .

Structurally, NOP53 contains intrinsically disordered regions (IDRs), particularly IDR1, which is essential for its phase separation properties . Additionally, NOP53 contains multivalent-arginine-rich linear motifs (M-R motifs) that are crucial for its localization to the nucleolus but are not required for its LLPS behavior . In experimental settings, endogenous NOP53 forms puncta in the nucleus of various cell lines including HCT-8, HeLa, and U2OS cells .

Why should researchers choose HRP-conjugated antibodies for NOP53 detection?

HRP (horseradish peroxidase)-conjugated antibodies offer significant advantages for NOP53 detection in research applications, similar to other HRP-conjugated antibodies used in protein studies. Based on antibody technology principles exemplified by the p53 HRP antibody [DO-1], HRP conjugation eliminates the need for secondary antibodies in Western blotting applications, streamlining experimental workflows and reducing background noise .

The direct conjugation allows for a one-step detection process, which is particularly valuable when examining NOP53's dynamic behaviors such as its redistribution between cellular compartments during viral infections or stress responses . The enzymatic amplification provided by HRP enables detection of even low abundance NOP53 protein, which is critical when studying its expression in different cellular contexts or following knockdown experiments .

What is the subcellular localization pattern of NOP53 and how does this impact experimental design?

NOP53 predominantly localizes to the nucleolus under normal conditions, forming punctate structures consistent with its liquid-liquid phase separation properties . Immunofluorescence assays using antibodies against NOP53 have shown that endogenous NOP53 forms distinct puncta in the nucleus of multiple cell lines including HCT-8, HeLa, and U2OS cells .

Interestingly, during herpes simplex virus (HSV-1) infection, NOP53 undergoes significant redistribution from the nucleus to the cytoplasm . This translocation is dependent on the viral protein γ34.5, as cells infected with HSV-1/F (wild-type) show overwhelming migration of endogenous NOP53 from nucleus to cytoplasm at 12 and 24 hours post-infection, while HSV-1/Δγ34.5 (mutant lacking γ34.5) infected cells maintain more nuclear localization .

When designing experiments to study NOP53, researchers should consider these dynamic localization patterns. Fixation methods must preserve the integrity of nucleolar structures, and timing of experiments is crucial when studying stimulus-induced relocalization . Additionally, subcellular fractionation protocols may be necessary to distinguish between nuclear and cytoplasmic pools of NOP53 under different experimental conditions.

What positive and negative controls should be included when using NOP53 antibodies?

When utilizing NOP53 antibodies for experimental applications, several controls are essential for validating results. Using antibody validation principles demonstrated with p53 antibodies, researchers should include:

  • Knockout/knockdown controls: Similar to the validation of p53 antibodies in wild-type and TP53 knockout HAP1 cells, NOP53 antibody specificity should be verified using NOP53 knockout or siRNA-mediated knockdown samples . The complete loss or significant reduction of signal in these samples confirms antibody specificity.

  • Loading controls: When performing Western blots, appropriate loading controls (such as GAPDH, as used in p53 antibody validation) should be included to normalize protein levels across samples .

  • Peptide competition assays: Pre-incubation of the antibody with specific NOP53 peptides should abolish specific binding if the antibody is truly selective.

  • Cross-reactivity assessment: Testing the antibody on samples from different species or on closely related proteins to ensure specificity for human NOP53.

For negative controls specifically in NOP53 detection, researchers should consider cell lines known to express minimal NOP53 or tissues where expression is expected to be absent based on transcriptomic data.

How can researchers optimize Western blot protocols for NOP53 detection using HRP-conjugated antibodies?

For optimal Western blot detection of NOP53 using HRP-conjugated antibodies, researchers should consider several key protocol adjustments:

  • Gel selection: Based on protocols used for similar nuclear proteins, 4-12% Bis-tris gels under the MOPS buffer system provide excellent resolution for NOP53 . This system has been effective for nuclear proteins in the 40-60 kDa range.

  • Transfer conditions: For effective transfer of NOP53, moderate voltage (30V) for extended duration (70 minutes) onto nitrocellulose membranes is recommended, similar to protocols used for p53 detection .

  • Blocking reagent: Using 2% Bovine Serum Albumin as a blocking agent for one hour at room temperature minimizes background while preserving antibody access to epitopes .

  • Antibody dilution: A starting dilution of 1:5000 for HRP-conjugated antibodies is recommended, with overnight incubation at 4°C to maximize specific binding .

  • Development system: High-sensitivity ECL substrates provide optimal visualization of NOP53 bands while minimizing background .

  • Predicted band size: Researchers should expect bands at approximately 56 kDa for full-length NOP53, with possible additional bands for splice variants or post-translationally modified forms.

How does NOP53's liquid-liquid phase separation property affect experimental detection and analysis?

NOP53's ability to undergo liquid-liquid phase separation (LLPS) creates unique considerations for its experimental detection and analysis. Research has demonstrated that NOP53 forms condensates with distinct liquid-like properties including droplet fusion, rapid fluorescence recovery after photobleaching (FRAP), and sensitivity to 1,6-hexanediol .

This phase separation behavior has several implications for experimental approaches:

  • Fixation sensitivity: Standard paraformaldehyde fixation may disrupt the native liquid-like properties of NOP53 condensates. Researchers should consider live-cell imaging or optimized fixation protocols that preserve condensate structure.

  • Buffer composition effects: In vitro studies have shown that NOP53 phase separation is highly sensitive to ionic conditions - enhanced by high pH but disrupted by high Na+ concentration . Therefore, extraction buffers for immunoprecipitation or Western blotting should be carefully formulated to maintain physiological conditions.

  • Temperature dependence: NOP53 forms droplets at various temperatures in a concentration-dependent manner . Experimental conditions should be strictly controlled, as temperature fluctuations during sample processing may alter NOP53's physical state.

  • Energy dependence: FRAP analyses reveal that the molecular exchange of NOP53 puncta is ATP-dependent . Samples collected under energy-depleted conditions may display altered NOP53 dynamics and detection patterns.

For antibody-based detection specifically, researchers should validate that their chosen antibody recognizes both the diffuse and condensed forms of NOP53, as epitope accessibility may differ between these states.

What are the experimental considerations when studying NOP53's role in viral replication mechanisms?

When investigating NOP53's role in viral replication mechanisms, particularly with herpes simplex virus (HSV-1), several experimental considerations should be addressed:

  • Timing of infection and analysis: HSV-1 infection causes progressive redistribution of NOP53 from nucleus to cytoplasm, with significant changes observed at 12 and 24 hours post-infection . Experimental timepoints should be carefully selected to capture these dynamic changes.

  • Viral strain selection: Significant differences exist between wild-type HSV-1/F and mutant HSV-1/Δγ34.5 in their effects on NOP53 localization and function . The wild-type virus induces cytoplasmic translocation of NOP53, while the γ34.5-deleted mutant does not . Both strains should be included for comparative analysis.

  • NOP53 manipulation approaches: Both overexpression and knockdown approaches have yielded valuable insights. Ectopic expression of Flag-tagged NOP53 or NOP53-N4 significantly increases viral yields (by 86-fold and 31-fold respectively at 36 hours post-infection) . Conversely, siRNA-mediated knockdown reduces viral yields by 24-fold and 33-fold at 36 and 48 hours post-infection .

  • Protein synthesis assessment: Puromycin labeling has been effectively used to monitor translation rates during NOP53 manipulation in HSV-1 infected cells . This technique can distinguish between effects on global protein synthesis versus specific viral protein production.

  • Viral output measurements: Multiple assessment methods should be employed, including viral yield quantification through plaque assays, viral mRNA levels via RT-PCR, and viral protein accumulation via Western blotting .

  • Cell line selection: Different cell lines may exhibit varied NOP53 responses to viral infection. HeLa cells have been successfully used to study NOP53's effects on HSV-1 replication , while Vero cells have been specifically chosen for certain experiments because they do not secrete Type I interferons .

How can researchers effectively study the interaction between NOP53 and the eIF2α dephosphorylation pathway?

Studying the interaction between NOP53 and the eIF2α dephosphorylation pathway requires specialized experimental approaches focusing on protein-protein interactions and phosphorylation dynamics:

  • Co-immunoprecipitation assays: To examine the interaction between NOP53, viral protein γ34.5, and protein phosphatase PP1α, researchers should perform co-immunoprecipitation experiments using antibodies against each component. This approach has revealed that NOP53 facilitates γ34.5 recruitment of PP1α to dephosphorylate eIF2α .

  • Phosphorylation-specific Western blotting: Detection of phosphorylated eIF2α using phospho-specific antibodies is essential for measuring the functional outcome of NOP53-mediated interactions. Studies have shown that γ34.5, in combination with NOP53, attenuates eIF2α phosphorylation in HSV-1/F infected cells but fails to affect eIF2α phosphorylation induced by HSV-1/Δγ34.5 infection .

  • Domain mapping: Using truncation mutants or site-directed mutagenesis to identify specific regions of NOP53 required for interaction with γ34.5 and/or PP1α. The NOP53-N4 truncation mutant has already demonstrated functional relevance in this pathway .

  • Cellular stress induction: Various stressors that activate eIF2α phosphorylation (viral infection, thapsigargin, tunicamycin, etc.) should be employed to comprehensively assess NOP53's role under different conditions.

  • RNA interference approach: siRNA-mediated knockdown of NOP53 has been shown to impair the specific interaction between γ34.5 and PP1α, disrupting γ34.5's ability to maintain HSV-1 virulence . This approach should be combined with rescue experiments using siRNA-resistant NOP53 constructs.

  • In vivo validation: Animal models have confirmed that NOP53 knockdown significantly reduces tissue damage and decreases viral yield in livers of HSV-1 infected mice , suggesting that in vivo approaches are valuable for validating cell culture findings.

What methodological approaches are optimal for investigating NOP53's role in DNA damage response and radioresistance?

To effectively investigate NOP53's role in DNA damage response (DDR) and radioresistance, researchers should implement the following methodological approaches:

  • Radiation sensitivity assays: Since NOP53 silencing has been shown to significantly sensitize colorectal cancer cells to radiotherapy , clonogenic survival assays following different radiation doses should be performed in control versus NOP53-depleted cells.

  • p53 activation monitoring: Given that NOP53 suppresses irradiation-induced p53 activation , researchers should measure p53 phosphorylation status, nuclear accumulation, and transcriptional activity using phospho-specific antibodies, immunofluorescence, and reporter assays respectively.

  • Phase separation visualization: Advanced microscopy techniques to visualize NOP53 LLPS before and after irradiation are essential. This includes live-cell imaging with fluorescently-tagged NOP53 to track dynamic changes in condensate formation, fusion, and dissolution in response to DNA damage .

  • FRAP analysis under damage conditions: Since FRAP has revealed that NOP53 puncta exhibit energy-dependent molecular exchange , this technique should be applied before and after irradiation to determine how DNA damage affects NOP53 dynamics.

  • IDR1 mutation analysis: Given that the intrinsically disordered region 1 (IDR1) is required for NOP53 phase separation , creating targeted mutations in this region can help elucidate the connection between phase separation and radioresistance functions.

  • Protein-protein interaction screening: Techniques such as BioID or proximity ligation assay (PLA) can identify potential NOP53 interaction partners in the DDR pathway before and after irradiation.

  • Temporal analysis: Time-course experiments following irradiation are crucial, as DDR involves complex temporal dynamics of protein recruitment, modification, and dissociation from damage sites.

  • Combined therapeutic approaches: Testing NOP53 targeting in combination with radiotherapy and other DDR-targeting agents can provide insights into potential synthetic lethality relationships and therapeutic applications.

How can researchers differentiate between the various functional domains of NOP53 in experimental designs?

Differentiating between NOP53's functional domains requires strategic experimental approaches that isolate and characterize each region's contribution to the protein's diverse functions:

  • Domain-specific constructs: Research has identified two intrinsically disordered regions (IDRs) in NOP53, with IDR1 being critical for phase separation . Researchers should generate constructs expressing full-length NOP53, IDR1-only, IDR2-only, and NOP53 lacking either IDR for comparative functional studies.

  • OptoIDR system application: The OptoIDR system has been successfully used to investigate NOP53 domains, revealing that recombinant protein containing NOP53-IDR1 and Cry2-mCherry forms droplets rapidly after blue light stimulation, whereas NOP53-IDR2 fails to form droplets . This optogenetic approach allows temporal control over domain activation.

  • Mutational analysis of M-R motifs: The multivalent-arginine-rich linear motifs (M-R motifs) in NOP53 are essential for nucleolar localization but dispensable for LLPS . Systematic mutation of these motifs can separate localization functions from phase separation properties.

  • Domain-specific antibodies: Developing antibodies that specifically recognize different NOP53 domains can help track domain-specific interactions and modifications.

  • In vitro reconstitution: Purified recombinant NOP53-IDR1-GFP protein has been shown to undergo LLPS as efficiently as full-length NOP53 protein in vitro . Similar approaches with other domains can determine their independent biophysical properties.

  • FRAP analysis of domain mutants: Since NOP53-IDR1-GFP forms puncta with high FRAP rates , comparative FRAP analysis of different domain mutants can reveal their contributions to NOP53's dynamic properties.

  • Domain-specific interactome analysis: For each domain construct, performing co-immunoprecipitation followed by mass spectrometry can identify domain-specific interaction partners.

  • Functional rescue experiments: In NOP53-depleted cells, reintroduction of domain-specific constructs can determine which domains are necessary and sufficient for specific functions, such as viral replication enhancement or radioresistance.

What are common technical challenges when using NOP53 antibodies for immunofluorescence, and how can they be resolved?

Researchers working with NOP53 antibodies for immunofluorescence may encounter several technical challenges due to NOP53's unique properties and localization pattern:

  • Fixation-induced artifacts: NOP53's liquid-liquid phase separation (LLPS) properties make its condensates sensitive to fixation methods . To minimize disruption:

    • Use fresh 4% paraformaldehyde with minimal fixation time (10-15 minutes)

    • Consider alternative fixatives such as methanol for certain applications

    • Compare live-cell imaging results with fixed samples to identify potential artifacts

  • Epitope masking in condensates: NOP53's concentrated puncta may limit antibody accessibility to epitopes. Solutions include:

    • Testing multiple antibodies targeting different regions of NOP53

    • Optimizing permeabilization conditions (extended Triton X-100 treatment at 0.5% for 15-20 minutes)

    • Employing antigen retrieval methods such as heat-induced epitope retrieval in citrate buffer

  • High background in nucleolar regions: The nucleolus often exhibits nonspecific antibody binding. To improve signal-to-noise ratio:

    • Extend blocking time to 2 hours using 5% BSA with 0.1% Tween-20

    • Include an additional blocking step with 10% normal serum matching the species of the secondary antibody

    • Use directly conjugated primary antibodies to eliminate secondary antibody background

  • Dynamic redistribution during viral infection: Since NOP53 redistributes from nucleus to cytoplasm during HSV-1 infection , timing and infection protocols must be precisely controlled for reproducible results.

  • Co-localization with nucleolar markers: Include established nucleolar markers (fibrillarin, nucleolin) for proper interpretation of NOP53 localization patterns, especially when studying perturbations that affect nucleolar structure.

What protocol modifications are necessary for effective co-immunoprecipitation of NOP53 and its interaction partners?

Effective co-immunoprecipitation (co-IP) of NOP53 and its interaction partners requires specific protocol considerations to maintain the integrity of protein complexes while achieving efficient pulldown:

  • Lysis buffer optimization: Given NOP53's phase separation properties and sensitivity to salt concentration , a balanced lysis buffer is crucial:

    • Use a buffer containing 150 mM NaCl, 25 mM Tris-HCl (pH 7.4), 0.5% NP-40 or IGEPAL CA-630

    • Include 5% glycerol to stabilize protein complexes

    • Add fresh protease inhibitors, phosphatase inhibitors, and RNase inhibitors (if RNA-mediated interactions are not being studied)

  • Crosslinking considerations: For transient interactions:

    • Consider mild crosslinking with 0.5-1% formaldehyde for 10 minutes at room temperature

    • For reversible crosslinking, use DSP (dithiobis[succinimidyl propionate]) at 1-2 mM

  • Nuclear extraction protocol: Since NOP53 is predominantly nucleolar:

    • Use a two-step lysis protocol with initial cytoplasmic extraction followed by nuclear extraction

    • Include sonication steps (5-10 pulses at 20% amplitude) to disrupt nucleolar structures without destroying protein complexes

  • Antibody selection and validation:

    • Validate antibody specificity using NOP53 knockdown samples

    • Use antibodies targeting different epitopes for reciprocal co-IPs to confirm interactions

    • Consider epitope tags (FLAG, HA, GFP) for overexpression systems when antibodies to endogenous proteins are limiting

  • Specific partner considerations:

    • For detecting NOP53 interaction with γ34.5 and PP1α, include controls with cells infected with HSV-1/F versus HSV-1/Δγ34.5

    • For RNA-dependent interactions, perform parallel samples with RNase treatment to distinguish direct protein-protein interactions from RNA-mediated associations

  • Washing conditions:

    • Use progressively stringent washes to remove non-specific interactions while preserving specific ones

    • Consider including competing peptides in later washes to reduce background

  • Elution strategy:

    • For tagged proteins, use specific peptide elution rather than boiling in SDS buffer when possible

    • For antibody-based IPs, consider non-denaturing elution with glycine (pH 2.5) followed by neutralization

What are the best experimental approaches to study NOP53 in the context of cancer research and therapeutic development?

Studying NOP53 in cancer research and therapeutic development requires multifaceted experimental approaches that address its roles in both tumorigenesis and treatment response:

  • Expression profiling in cancer tissues:

    • Perform immunohistochemistry on tissue microarrays containing matched tumor and normal tissues

    • Correlate NOP53 expression levels with clinical outcomes, tumor stage, and treatment response

    • Use publicly available cancer genomics databases (TCGA, ICGC) to analyze NOP53 expression across cancer types

  • Functional genomics approaches:

    • Generate stable NOP53 knockdown and overexpression cell lines using lentiviral systems

    • Create CRISPR-Cas9 knockout models for complete NOP53 ablation

    • Develop inducible expression systems to study temporal effects of NOP53 modulation

  • Radiation sensitivity assessment:

    • Perform clonogenic survival assays following radiation treatment in NOP53-modified cells

    • Use γH2AX foci formation and resolution assays to measure DNA damage repair capacity

    • Assess cell cycle checkpoint activation using flow cytometry with propidium iodide staining

  • Mechanistic studies on p53 pathway interaction:

    • Monitor p53 activation status using phospho-specific antibodies and transcriptional reporter assays

    • Perform chromatin immunoprecipitation to assess p53 binding to target gene promoters in the presence/absence of NOP53

    • Use proximity ligation assays to visualize direct interactions between NOP53 and p53 pathway components

  • Phase separation modulation as therapeutic strategy:

    • Screen for small molecules that disrupt NOP53 phase separation

    • Test 1,6-hexanediol and related compounds that affect LLPS in combination with radiation therapy

    • Develop peptide inhibitors targeting NOP53's IDR1 domain to disrupt its phase separation properties

  • In vivo models:

    • Generate patient-derived xenografts with varying NOP53 expression levels

    • Develop genetically engineered mouse models with conditional NOP53 expression

    • Use orthotopic tumor models to study NOP53's role in tumor microenvironment interactions

  • Combination therapy approaches:

    • Test NOP53 targeting in combination with conventional chemotherapy agents

    • Evaluate synergy with other DDR pathway inhibitors (PARP inhibitors, ATR inhibitors)

    • Assess sequential versus concurrent treatment regimens for optimal therapeutic effect

  • Biomarker development:

    • Develop liquid biopsy approaches to measure circulating NOP53 or its post-translational modifications

    • Correlate NOP53 status with treatment response to identify predictive biomarker potential

How can researchers optimize experimental conditions for studying NOP53's phase separation properties?

Optimizing experimental conditions for studying NOP53's phase separation properties requires careful consideration of multiple factors that influence liquid-liquid phase separation (LLPS):

  • Protein concentration adjustment:

    • NOP53 forms droplets in a concentration-dependent manner

    • For in vitro studies, test a range of concentrations (1-20 μM) to establish phase diagram

    • For cellular studies, use inducible expression systems to achieve controlled protein levels

  • Buffer composition optimization:

    • LLPS of NOP53 is enhanced by high pH but disrupted by high Na+ concentration

    • Use 25 mM Tris-HCl (pH 7.4) with 150 mM NaCl as starting conditions

    • Systematically vary pH (6.5-8.5) and salt concentration (50-300 mM) to determine optimal conditions

    • Consider the effects of crowding agents like PEG or dextran to mimic cellular environment

  • Temperature control:

    • NOP53 forms droplets at different temperatures

    • Include temperature as an experimental variable (4°C, 25°C, 37°C)

    • Use temperature-controlled microscopy stages for live imaging

  • Fluorescent tagging considerations:

    • NOP53-GFP and NOP53-mEGFP have been successfully used to visualize condensates

    • Compare multiple fluorescent tags (mCherry, YFP) to ensure tag-independent behavior

    • Position tags at both N- and C-termini to assess impact on phase separation

  • IDR1-focused experiments:

    • Since IDR1 is required for NOP53 phase separation , create constructs expressing only this domain

    • Compare phase separation properties of full-length NOP53 versus IDR1-only constructs

    • Perform mutational analysis within IDR1 to identify critical residues

  • Optogenetic approaches:

    • The Cry2-mCherry system has been effective for light-induced control of NOP53 phase separation

    • Use precise light dosing protocols with standardized power and duration

    • Implement time-lapse imaging to capture dynamics of light-induced condensate formation

  • Advanced microscopy techniques:

    • Employ FRAP to measure molecular dynamics within condensates

    • Use fluorescence correlation spectroscopy (FCS) to measure diffusion coefficients

    • Implement 3D confocal microscopy with deconvolution for high-resolution imaging

  • Phase separation disruptors:

    • 1,6-hexanediol has been shown to dissolve NOP53 puncta

    • Test concentration-dependent effects (1-10%)

    • Include washout experiments to demonstrate reversibility

  • Energy depletion studies:

    • ATP depletion results in reduced FRAP rate for NOP53 puncta

    • Use 2-deoxyglucose and oligomycin to deplete cellular ATP

    • Monitor ATP levels in parallel to correlate with phase separation dynamics

What considerations are important when validating NOP53 knockdown or knockout models for functional studies?

Validating NOP53 knockdown or knockout models requires rigorous quality control at multiple levels to ensure reliable functional studies:

  • Validation at the genomic level:

    • For CRISPR/Cas9 knockout models, sequence the targeted region to confirm frameshift or deletion

    • Perform off-target analysis using whole genome sequencing or targeted sequencing of predicted off-target sites

    • For cell lines with heterogeneous editing, perform single-cell cloning and screening

  • Transcript-level validation:

    • Use RT-qPCR with primers targeting multiple exons to verify reduction in NOP53 mRNA

    • Perform RNA-seq to identify potential compensatory changes in related genes

    • Check for activation of nonsense-mediated decay pathways

    • Assess whether alternative splicing generates truncated but potentially functional variants

  • Protein-level confirmation:

    • Use Western blotting with antibodies targeting different epitopes to confirm complete protein loss

    • Perform immunofluorescence to verify absence of NOP53 puncta in nucleoli

    • Consider proteomics approaches to identify changes in NOP53 interaction partners

  • Functional validation:

    • Confirm expected phenotypes based on known NOP53 functions:

      • Reduced viral replication of HSV-1/F (24-33 fold decrease reported)

      • Decreased levels of viral mRNA

      • Increased sensitivity to radiation in cancer cells

      • Changes in eIF2α phosphorylation status during viral infection

  • Rescue experiments:

    • Re-express wild-type NOP53 to demonstrate phenotype reversal

    • Include domain mutants (IDR1-deleted, IDR2-deleted) to map functional regions

    • Use expression-matched controls to avoid overexpression artifacts

  • Cell line-specific considerations:

    • Different cell lines may exhibit varied dependency on NOP53

    • HeLa cells have been successfully used for NOP53 knockdown studies in viral contexts

    • Colorectal cancer cell lines have demonstrated NOP53-dependent radioresistance

  • Clonal effects assessment:

    • Generate and characterize multiple independent knockout/knockdown clones

    • Verify consistent phenotypes across different clones

    • Be aware of potential genetic drift during extended culture

  • Temporal control systems:

    • Consider inducible knockdown/knockout systems for studying essential genes

    • Implement time-course analyses to distinguish acute versus adaptive responses to NOP53 loss

    • For viral studies, synchronize infection timing with knockdown/knockout induction

What are the emerging applications of NOP53 research in cancer therapy development?

NOP53 research is revealing promising new avenues for cancer therapy development, particularly focused on enhancing radiation sensitivity and targeting phase separation mechanisms:

  • Radiation sensitization strategies: Research has demonstrated that NOP53 silencing significantly sensitizes colorectal cancer (CRC) cells to radiotherapy . This finding opens possibilities for developing NOP53 inhibitors as radiation sensitizers for clinical applications. The mechanism involves suppression of irradiation-induced p53 activation by NOP53, suggesting that targeted disruption of this interaction could enhance radiation effectiveness in p53-proficient tumors.

  • Phase separation targeting therapies: NOP53's ability to undergo liquid-liquid phase separation (LLPS) represents a novel therapeutic vulnerability . Compounds that disrupt phase separation, such as derivatives of 1,6-hexanediol, could be developed as targeted therapies. By preventing NOP53 condensate formation, these agents might interfere with its DNA damage response functions and increase cancer cell vulnerability to genotoxic treatments.

  • IDR1-focused drug development: The identification of intrinsically disordered region 1 (IDR1) as critical for NOP53 phase separation provides a specific structural target for drug design . Peptide-based inhibitors or small molecules that bind specifically to IDR1 could selectively disrupt NOP53 function while minimizing off-target effects.

  • Combination therapy approaches: NOP53 inhibition could potentially synergize with other DNA damage response (DDR) inhibitors currently in clinical development, such as ATR, CHK1, or PARP inhibitors. Rational combinations targeting complementary DDR pathways may overcome resistance mechanisms and enhance therapeutic efficacy.

  • Biomarker development: NOP53 expression or localization patterns could serve as predictive biomarkers for radiation therapy response. Immunohistochemical analysis of tumor biopsies for NOP53 levels might help stratify patients who would benefit most from combination approaches involving NOP53 targeting.

  • Nucleolar stress exploitation: As a nucleolar protein, NOP53 participates in nucleolar stress responses. Agents that induce nucleolar stress could be particularly effective in tumors with high NOP53 dependence, creating a synthetic lethal interaction.

How might the liquid-liquid phase separation properties of NOP53 influence broader cellular stress response mechanisms?

The liquid-liquid phase separation (LLPS) properties of NOP53 likely play crucial roles in coordinating cellular stress responses through dynamic compartmentalization and regulation:

  • Stress-induced reorganization of biomolecular condensates: NOP53 forms liquid-like condensates with properties including fusion capacity, rapid FRAP recovery, and sensitivity to 1,6-hexanediol . These condensates may serve as dynamic stress-responsive hubs that sequester or concentrate specific factors during cellular stress, similar to stress granules or DNA damage foci.

  • Nucleolar stress sensing and signaling: As a nucleolar protein with LLPS properties, NOP53 may function as a sensor of nucleolar stress. Changes in nucleolar architecture during stress could alter NOP53 condensate formation or composition, triggering downstream signaling cascades. The nucleolus is increasingly recognized as a stress sensor organelle, and NOP53 condensates may be crucial components of this sensing mechanism.

  • Regulation of protein translation during stress: NOP53 has been implicated in the eIF2α dephosphorylation pathway through interaction with viral protein γ34.5 and protein phosphatase PP1α . This suggests that NOP53 condensates might regulate translation during cellular stress by controlling the phosphorylation status of translation initiation factors.

  • DNA damage response coordination: NOP53 silencing sensitizes colorectal cancer cells to radiotherapy , indicating its role in DNA damage responses. LLPS could facilitate the rapid assembly of DNA repair complexes at damage sites or modulate chromatin accessibility in damaged regions.

  • ATP-dependent regulation of stress responses: FRAP analyses revealed that NOP53 puncta molecular exchange is ATP-dependent . This energy requirement suggests that NOP53 condensates actively respond to cellular energy status, potentially linking metabolic stress to nucleolar function and DNA damage responses.

  • Cross-compartment communication: During HSV-1 infection, NOP53 redistributes from nucleus to cytoplasm . This suggests that NOP53 condensates may shuttle between cellular compartments during stress, potentially carrying information or regulatory factors between nuclear and cytoplasmic stress response pathways.

  • Phase separation as a regulatory switch: The reversibility of NOP53 LLPS upon changes in physiological conditions suggests that condensate formation serves as a rapidly responsive regulatory switch that can be toggled by subtle changes in the cellular environment during stress.

What novel experimental technologies might advance our understanding of NOP53 function in the coming years?

Emerging experimental technologies are poised to revolutionize our understanding of NOP53 function by enabling more precise visualization, manipulation, and analysis of its dynamic behaviors:

  • Super-resolution microscopy advancements: Techniques such as stochastic optical reconstruction microscopy (STORM), photoactivated localization microscopy (PALM), and stimulated emission depletion (STED) microscopy will provide unprecedented insights into the nanoscale organization of NOP53 condensates. These approaches can reveal internal structures within condensates and track single-molecule dynamics within these compartments.

  • Cryo-electron tomography: This technique could visualize the 3D ultrastructure of NOP53 condensates in their native cellular environment, providing insights into their molecular organization and interactions with other cellular structures.

  • Optogenetic manipulation with spatial precision: Next-generation optogenetic tools could allow researchers to induce or disrupt NOP53 phase separation with subcellular spatial precision. Combining the Cry2-mCherry system already used for NOP53 with spatial light modulators would enable targeting specific regions within the nucleolus.

  • High-throughput CRISPR screening: Genome-wide CRISPR screens focusing on modifiers of NOP53 function could identify new regulatory pathways and interaction partners. Screens could be designed to identify genes that, when knocked out, sensitize or protect cells from NOP53 depletion.

  • Proximity-dependent labeling advances: Techniques such as TurboID or APEX2 could map the dynamic NOP53 interactome under different stress conditions with temporal resolution. These approaches would capture transient interactions that might be missed by traditional co-immunoprecipitation methods.

  • 4D nucleome mapping: Combining Hi-C, ChIP-seq, and imaging approaches to understand how NOP53 condensates influence 3D genome organization in response to stress and how this changes over time (the fourth dimension).

  • Single-cell multi-omics: Integrating single-cell transcriptomics, proteomics, and metabolomics could reveal cell-to-cell variability in NOP53 function and identify subpopulations with distinct NOP53-dependent phenotypes.

  • Microfluidic approaches: These systems could enable precise control of the physicochemical environment around cells or purified proteins to study how factors like pH, salt concentration, crowding agents, and temperature affect NOP53 phase separation in real-time.

  • Advanced in vivo imaging: Intravital microscopy with genetically encoded fluorescent NOP53 could track its behavior in living tissues during development, homeostasis, and disease progression, providing physiologically relevant insights beyond cell culture models.

  • AI-driven structural prediction: As artificial intelligence approaches for protein structure prediction continue to advance, they could help model the conformational ensembles of NOP53's intrinsically disordered regions and predict how mutations or interactions affect its phase separation properties.

How might the viral interaction properties of NOP53 inform broader understanding of host-pathogen interactions?

The viral interaction properties of NOP53, particularly its manipulation by HSV-1 γ34.5 protein, provide valuable insights into host-pathogen interaction mechanisms with broader implications:

  • Nucleolar targeting as a viral strategy: HSV-1 protein γ34.5 induces redistribution of NOP53 from the nucleus to the cytoplasm . This highlights the nucleolus as a strategic target for viral manipulation, suggesting that monitoring nucleolar protein dynamics could reveal novel aspects of host-pathogen interactions across multiple viral families.

  • Subversion of translation control mechanisms: NOP53 facilitates γ34.5 recruitment of PP1α to dephosphorylate eIF2α , effectively counteracting the host's attempt to shut down translation during infection. This mechanism exemplifies how viruses repurpose host factors to overcome cellular defense mechanisms and may represent a common strategy employed by diverse pathogens.

  • Phase separation as an antiviral target: NOP53's liquid-liquid phase separation (LLPS) properties raise questions about whether these properties are specifically targeted by viral proteins. If condensate formation or dissolution affects viral replication, this could represent a novel class of antiviral host defenses and corresponding viral countermeasures.

  • Protein trafficking between cellular compartments: The virus-induced cytoplasmic translocation of NOP53 demonstrates how pathogens manipulate protein localization to create favorable replication environments. Understanding the mechanisms of this relocalization could reveal druggable targets applicable to multiple viral infections.

  • Host factor dependency patterns: The significant impact of NOP53 on HSV-1 replication (86-fold increase with overexpression, 33-fold decrease with knockdown) highlights the extreme dependency of viruses on specific host factors. Comparative studies across viral families could reveal evolutionarily conserved dependencies that represent broad-spectrum antiviral targets.

  • Viral protein multifunctionality: γ34.5 is described as a "multifunctional viral protein" , exemplifying how viruses maximize their limited coding capacity by creating proteins with multiple host-manipulation functions. This principle may guide the search for additional functions of known viral proteins.

  • In vivo relevance of in vitro findings: NOP53 knockdown significantly reduces tissue damage and decreases viral yield in livers of HSV-1 infected mice , validating the physiological relevance of cellular findings. This emphasizes the importance of in vivo validation in host-pathogen interaction studies.

  • Therapeutic implications: The finding that "blocking the specific interaction between γ34.5 and PP1α would be a useful approach for the development of antiviral agents" demonstrates how mechanistic understanding of host-pathogen interactions can directly inform therapeutic development.

What are the most significant unanswered questions regarding NOP53's cellular functions and potential therapeutic applications?

Despite significant advances in understanding NOP53's properties and functions, several critical questions remain unanswered that could significantly impact both basic research and therapeutic applications:

  • What is the evolutionary purpose of NOP53's phase separation properties? While NOP53 has been confirmed to undergo LLPS , the functional advantage this confers in normal cellular physiology remains unclear. Does phase separation enhance specific enzymatic activities, facilitate macromolecular assembly, or provide regulatory compartmentalization?

  • How is NOP53 phase separation regulated under physiological and pathological conditions? The factors controlling the formation, maintenance, and dissolution of NOP53 condensates in response to various cellular signals need further elucidation. Are post-translational modifications, specific protein interactions, or metabolic changes primary regulators?

  • What is the complete interactome of NOP53 across different cellular compartments? While interactions with γ34.5 and PP1α have been documented in viral contexts , the full spectrum of NOP53 interaction partners in normal cells and under various stress conditions remains to be comprehensively mapped.

  • How does NOP53 specifically suppress irradiation-induced p53 activation? The mechanism by which NOP53 influences the p53 pathway in response to radiation is not fully understood. Is this through direct interaction, modulation of upstream signaling, or effects on chromatin accessibility at p53 target genes?

  • What is the clinical significance of NOP53 expression in different cancer types? While NOP53 silencing sensitizes colorectal cancer cells to radiotherapy , its prognostic and predictive value across cancer types needs systematic investigation. Do expression levels correlate with patient outcomes or treatment responses?

  • Can NOP53 inhibition strategies be developed with acceptable therapeutic windows? Given NOP53's roles in normal cellular functions, it's crucial to determine whether targeting strategies can be developed that preferentially affect cancer cells while sparing normal tissues.

  • How do the nucleolar and extra-nucleolar functions of NOP53 relate to each other? The protein exhibits distinct behaviors and interactions in different cellular compartments, but how these various functions are coordinated and whether they influence each other remains unclear.

  • Is NOP53 targeted by pathogens other than HSV-1? The specific manipulation of NOP53 by HSV-1 raises questions about whether other viruses or intracellular pathogens similarly exploit this protein, potentially revealing evolutionary convergence on critical host factors.

  • What are the tissue-specific functions of NOP53? Most studies have focused on a limited range of cell types, and the potential for tissue-specific roles or expression patterns of NOP53 has not been systematically explored.

  • How might targeting NOP53 phase separation affect normal tissue function and development? Before pursuing therapeutic strategies based on disrupting NOP53 condensates, the consequences for normal tissues must be thoroughly investigated to anticipate potential adverse effects.

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