DAXX Antibody

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Description

Introduction to DAXX Antibody

DAXX antibodies are immunochemical reagents designed to detect and quantify DAXX protein expression in cells and tissues. DAXX is a scaffold protein localized in PML nuclear bodies and cytoplasm, interacting with partners like Fas, PML, SUMO-2/3, and viral proteins . Its roles span apoptosis regulation, transcriptional repression, DNA repair, and antiviral defense .

Applications of DAXX Antibody in Research

DAXX antibodies are used to:

  • Investigate DAXX’s dual role in promoting or inhibiting apoptosis, depending on cellular context .

  • Study its interaction with SUMO-2/3, which modulates subcellular localization and oncogenic functions in cancers like gastric cancer .

  • Analyze DAXX’s antiviral activity against SARS-CoV-2 and other viruses .

  • Assess DAXX overexpression or silencing effects in cancer models, including tumorigenesis and chemoresistance .

Mechanistic Insights

  • Apoptosis: DAXX silencing enhances caspase activation and cytochrome c release, increasing susceptibility to extrinsic and intrinsic apoptosis pathways .

  • Viral Defense: DAXX restricts SARS-CoV-2 by targeting viral transcription, even when SUMOylation is disrupted .

  • Cancer Progression: In gastric cancer, cytoplasmic DAXX (cDAXX) promotes migration and invasion, while nuclear DAXX (nDAXX) suppresses these effects . Overexpression correlates with metastasis and chemoresistance in ovarian and prostate cancers .

Technical Considerations

  • Antibody Specificity: DAXX antibodies must distinguish between nuclear and cytoplasmic isoforms, as localization dictates function .

  • Experimental Models: Studies use siRNA (2–10 nM for optimal silencing) , CRISPR screens , and xenograft models to validate DAXX’s roles.

Clinical Implications

DAXX antibodies aid in:

  • Identifying DAXX as a biomarker for aggressive cancers .

  • Developing therapies targeting DAXX-SUMO interactions or its antiviral activity .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your orders within 1-3 business days of receipt. Delivery times may vary depending on the purchasing method and location. For specific delivery time estimates, please contact your local distributors.
Synonyms
BING 2 antibody; BING2 antibody; CENP-C binding protein antibody; DAP 6 antibody; DAP6 antibody; Daxx antibody; DAXX_HUMAN antibody; Death associated protein 6 antibody; Death domain associated protein 6 antibody; Death domain associated protein antibody; Death domain-associated protein 6 antibody; EAP 1 antibody; EAP1 antibody; ETS1 associated protein 1 antibody; ETS1-associated protein 1 antibody; Fas binding protein antibody; Fas death domain associated protein antibody; Fas death domain-associated protein antibody; hDaxx antibody; MGC126245 antibody; MGC126246 antibody
Target Names
Uniprot No.

Target Background

Function
DAXX, a transcription corepressor, is known to suppress the transcriptional activity of various sumoylated transcription factors. It downregulates both basal and activated transcription. The transcription repressor activity of DAXX is regulated by its recruitment to specific subnuclear compartments, such as the nucleolus or PML/POD/ND10 nuclear bodies, through interactions with MCSR1 and PML, respectively. DAXX seems to regulate transcription in PML/POD/ND10 nuclear bodies in collaboration with PML, potentially influencing TNFRSF6-dependent apoptosis. Additionally, DAXX inhibits the transcriptional activation of PAX3 and ETS1 through direct protein-protein interactions. It modulates PAX5 activity, with a possible involvement of CREBBP in this process. DAXX acts as an adapter protein in the MDM2-DAXX-USP7 complex, influencing the ubiquitination activity of the RING-finger E3 ligase MDM2. Under normal conditions, DAXX, in conjunction with the deubiquitinating enzyme USP7, prevents MDM2 self-ubiquitination and enhances MDM2's intrinsic E3 ligase activity toward TP53, leading to TP53 ubiquitination and subsequent proteasomal degradation. Following DNA damage, DAXX dissociates from the MDM2-USP7 complex, resulting in increased MDM2 autoubiquitination and degradation. This ultimately leads to TP53 stabilization. DAXX functions as a histone chaperone, facilitating the deposition of histone H3.3. It also serves as a targeting component of the chromatin remodeling complex ATRX:DAXX, which possesses ATP-dependent DNA translocase activity. This complex catalyzes the replication-independent deposition of histone H3.3 in pericentric DNA repeats outside S-phase and telomeres, as well as the in vitro remodeling of H3.3-containing nucleosomes. While DAXX does not affect the ATPase activity of ATRX, it alleviates its transcription repression activity. Upon neuronal activation, DAXX associates with regulatory elements of selected immediate early genes, promoting the deposition of histone H3.3, potentially linked to transcriptional induction of these genes. DAXX is required for the recruitment of histone H3.3:H4 dimers to PML-nuclear bodies (PML-NBs), a process independent of ATRX and facilitated by ASF1A. PML-NBs are believed to act as regulatory sites for the incorporation of newly synthesized histone H3.3 into chromatin. In cases of CENPA overexpression, as observed in various tumors, DAXX is involved in the mislocalization of this centromeric histone variant to chromosomes. This ectopic localization involves a heterotypic tetramer containing CENPA, and histones H3.3 and H4, leading to decreased binding of CTCF to chromatin. DAXX is proposed to mediate activation of the JNK pathway and apoptosis via MAP3K5 in response to signaling from TNFRSF6 and TGFBR2. Interaction with HSPB1/HSP27 may prevent interaction with TNFRSF6 and MAP3K5, blocking DAXX-mediated apoptosis. Conversely, in lymphoid cells, JNC activation and TNFRSF6-mediated apoptosis may not involve DAXX. DAXX exhibits restriction activity towards human cytomegalovirus (HCMV). It plays a role as a positive regulator of the heat shock transcription factor HSF1 activity during the stress protein response.
Gene References Into Functions
  1. Research indicates that phosphatase and tensin homolog (PTEN) interacts with death domain-associated protein (DAXX), and PTEN directly regulates oncogene expression by modulating DAXX-histone H3.3 (H3.3) association on the chromatin. PMID: 28497778
  2. DAXX directly binds to the DNA-binding domain of Slug, preventing histone deacetylase 1 (HDAC1) recruitment and antagonizing Slug E-box binding. This, in turn, stimulates E-cadherin and occludin expression, suppressing Slug-mediated epithelial-mesenchymal transition (EMT) and cell invasiveness. PMID: 28004751
  3. Studies demonstrate that the X-linked nuclear protein (ATRX)-Fas death domain-associated protein (DAXX) complex is involved in gene repression and telomere chromatin structure. PMID: 29084956
  4. Disruption of the CENP-B/Daxx-dependent H3.3 pathway deregulates heterochromatin marks H3K9me3, ATRX, and HP1alpha at centromeres, leading to increased chromosome instability. PMID: 29273057
  5. Disrupting the ATRX/DAXX complex and inhibiting telomerase activity in telomerase-positive cancer cells results in a switch to alternative lengthening of telomeres (ALT). PMID: 27578458
  6. A study found that enhanced nuclear accumulation of DAXX correlated with the malignant phenotype in gastric mucosa. PMID: 28812328
  7. ATRX or DAXX loss was identified as an independent predictor for overall survival of PanNETs in a multivariate Cox regression analysis, alongside well-established risk factors such as tumor stage and grade. PMID: 28591701
  8. Both primary ALT-positive and ATRX/DAXX-negative PanNETs are independently associated with aggressive clinicopathologic behavior and reduced recurrence-free survival. Interestingly, ALT activation and loss of ATRX/DAXX are both associated with better overall survival in patients with metastases. PMID: 27663587
  9. Whole-exome sequencing has identified recurrent mutations in DAXX and ATRX genes, which correlate with loss of protein expression and ALT. ALT and DAXX/ATRX loss in PanNETs were linked to shorter disease-free survival (DFS) and disease-specific survival (DSS), suggesting a significant role in driving metastatic disease. PMID: 27407094
  10. Mutations in alpha thalassemia-mental retardation syndrome X-linked (ATRX)/death-domain associated protein (DAXX) are proposed to prime ALT activation by disrupting telomeric heterochromatin. PMID: 28741530
  11. Structural and biochemical characterization of the DAXX-ATRX interaction has been conducted. PMID: 28875283
  12. The structural basis for DAXX interaction with ATRX has been elucidated. PMID: 28875424
  13. Given the high frequency of ATRX and DAXX mutations in cancer, these chromatin regulators likely play a critical role in cancer pathogenesis. [review] PMID: 28062559
  14. H3.Y discriminates between HIRA and DAXX chaperone complexes, providing new insights into human DAXX-H3.3-H4 binding and deposition requirements. PMID: 28334823
  15. The DAXX gene plays a role in the pathogenesis of neuroendocrine pancreatic neoplasms. PMID: 28371511
  16. The widespread dynamic nature of DAXX methylation in association with trophoblast differentiation and placenta-associated pathologies suggests an important role for this gene in proper placental development and function. PMID: 28223336
  17. Findings reveal previously unappreciated cross-talk between two critical tumor suppressor genes, MEN1 and DAXX, which were previously thought to operate through independent pathways. PMID: 27872097
  18. The interaction of the Daxx C-terminal domain and androgen receptor suppresses cholesterol synthesis. The Daxx C-terminal domain binds directly to the androgen receptor. PMID: 27671201
  19. HDAC1 and DAXX act as co-repressors involved in epigenetic regulation, helping to control promoter histone acetylation reactions that regulate GAD67 expression. PMID: 26812044
  20. This study provides an overview of the individual components (ATRX, DAXX, and/or H3.3) tested in each study and proposes a model where the ATRX/DAXX chaperone complex deposits H3.3 to maintain the H3K9me3 modification at heterochromatin throughout the genome. PMID: 26773061
  21. DAXX and Atrx safeguard the genome by silencing repetitive elements when DNA methylation levels are low. PMID: 26340527
  22. Studies of the dynamics of PML nuclear body components and IFI16 in response to invading herpes simplex virus 1 genomes demonstrated that human DAXX (hDaxx) and IFI16 respond more rapidly than PML. PMID: 26468536
  23. DAXX has been identified as a broad cellular inhibitor of reverse-transcription. These findings uncover a novel antiviral function for PML and PML nuclear body-associated protein DAXX. PMID: 26566030
  24. PML, hDaxx, and Sp100 primarily act as cellular restriction factors during lytic human cytomegalovirus replication and reactivation but do not serve as key determinants for the establishment of latency. PMID: 26057166
  25. ATRX- and DAXX-deficient PNETs exhibit distinct genome-wide DNA methylation profiles. Loss of DAXX, rather than ATRX, appears to be the driving event in altering genome-wide methylation changes in PNETs. PMID: 25900181
  26. These findings collectively support a DAXX-centric pathway for telomere maintenance, where DAXX interaction with telomerase regulates telomerase assembly in Cajal bodies and telomerase targeting to telomeres. PMID: 25416818
  27. Knockdown of the cellular DAXX protein modulates human papillomavirus genome replication and transcription in U2OS cells, reducing papillomavirus replication in the absence of this ND10 component. PMID: 26148509
  28. This study establishes DAXX as a pro-survival protein in PCa and reveals that autophagy suppresses prostate tumor formation in the early stages of tumorigenesis. PMID: 25903140
  29. DAXX downregulation is likely essential for enhancing anti-tumor activity through increased viral replication and cellular arrest, in combination with TRAIL/shBcl-xL-induced apoptosis and oncolytic adenovirus. PMID: 25748050
  30. ATM kinase and Wip1 phosphatase were identified as opposing regulators of DAXX-S564 phosphorylation, and the role of DAXX phosphorylation and DAXX itself is independent of p53-mediated gene expression. PMID: 25659035
  31. In neuroblastoma, ALT was caused by alterations in the ATRX or DAXX genes. PMID: 25487495
  32. Methylation changes were enriched in MSX1, CCND2, and DAXX at specific loci within the hippocampus of patients with schizophrenia and bipolar disorder. PMID: 25738424
  33. DAXX expression was not lost in ileal neuroendocrine tumors. PMID: 25439321
  34. Cytoplasmic localization of DAXX can increase cell sensitivity to ox-LDL injury, while nuclear localization antagonizes the effect of ox-LDL. PMID: 25120166
  35. A higher number of gene mutations, including DAXX/ATRX and KRAS gene mutations, are correlated with a poor prognosis for Chinese patients with pancreatic neuroendocrine tumors. PMID: 25210493
  36. The DAXX protein interacts with HPV16 E2 protein, primarily in the cytoplasm. PMID: 25842852
  37. Authors propose that Epstein-Barr virus tegument protein BNRF1 replaces ATRX to reprogram DAXX-mediated H3.3 loading, generating chromatin suitable for latent gene expression. PMID: 25275136
  38. DENV C disrupts DAXX and NF-kappaB interaction to induce CD137-mediated apoptosis during DENV infection. PMID: 25019989
  39. DAXX expression in urothelial carcinoma could be used as a marker of aggressiveness in clinical practice. PMID: 23819605
  40. During the progression of cervical cancer, DAXX gradually translocates from the nucleus to the nuclear membrane, cytoplasm, and cell membrane. PMID: 24398161
  41. DAXX plays a role in the misregulation of the localization of the centromeric histone variant CenH3/CENP-A. PMID: 24530302
  42. Loss of DAXX or ATRX is associated with chromosome instability in pancreatic neuroendocrine tumors and shorter survival times for patients. PMID: 24148618
  43. The status of ATRX or DAXX protein loss in neuroendocrine tumors varied among the organs where these tumors originated, suggesting that these proteins may play site-specific roles in tumor development. PMID: 23954140
  44. Overexpression of the chromatin remodeler DAXX in prostate cancer is an independent predictor of early prostate-specific antigen recurrence. PMID: 23642739
  45. DAXX silencing suppresses mouse ovarian surface epithelial cell growth by inducing senescence and DNA damage. PMID: 23542781
  46. USP7 and Daxx are essential for regulating proper mitotic execution, partially through regulating the stability of CHFR and Aurora-A kinase. PMID: 23348568
  47. These results suggest that hantavirus infection interferes with DAXX-mediated apoptosis, and the expression of interferon-activated Sp100 and ISG-20 proteins may indicate intracellular intrinsic antiviral attempts. PMID: 23830076
  48. This study demonstrates a specific role of DAXX, independent of ATRX, in the recruitment of H3.3 to PML bodies, a process that can be facilitated by ASF1A. PMID: 23222847
  49. Data suggests that the pro-apoptotic protein DAXX specifically interacts with one or more substrates SUMOylated by PIAS1, and this interaction leads to apoptosis following UV irradiation. PMID: 22976298
  50. M1 prevents the repressional function of DAXX during infection, thereby playing a survival role. PMID: 23548901

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Database Links

HGNC: 2681

OMIM: 603186

KEGG: hsa:1616

STRING: 9606.ENSP00000266000

UniGene: Hs.336916

Protein Families
DAXX family
Subcellular Location
Cytoplasm. Nucleus, nucleoplasm. Nucleus, PML body. Nucleus, nucleolus. Chromosome, centromere.; [Isoform beta]: Nucleus.; [Isoform gamma]: Nucleus.
Tissue Specificity
Ubiquitous.

Q&A

What is DAXX protein and why is it important in research?

DAXX is a ubiquitously expressed protein originally identified as an interactor with the cytoplasmic domain of Fas . It plays crucial roles in multiple cellular processes:

  • Acts as a histone chaperone facilitating deposition of histone H3.3

  • Functions in chromatin remodeling as part of the ATRX:DAXX complex

  • Mediates activation of the JNK pathway and apoptosis

  • Regulates transcription of immediate early genes

  • Shows restriction activity towards human cytomegalovirus (HCMV)

Its involvement in these diverse cellular pathways makes DAXX a significant target for researchers studying chromatin regulation, apoptosis, and cancer biology.

While the calculated molecular weight of DAXX is approximately 81 kDa based on its amino acid sequence , it typically appears at higher molecular weights on Western blots:

  • Commonly observed at 100-120 kDa

  • Sometimes detected at 70 kDa

  • Occasionally appears as multiple bands (e.g., 100 kDa and 48 kDa)

This size discrepancy is primarily due to post-translational modifications, particularly phosphorylation. DAXX contains numerous phosphorylation sites that influence its migration pattern on SDS-PAGE. Additionally, alternative splicing may generate different isoforms. When validating a new DAXX antibody, it's essential to use appropriate positive and negative controls (such as DAXX knockout cell lines) to confirm specificity .

How should I optimize DAXX antibody dilutions for different applications?

Optimization of DAXX antibody dilutions is critical for specific signal detection:

For Western Blotting:

  • Start with manufacturer's recommended dilution (typically 1:1000)

  • Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000)

  • Include appropriate positive controls (e.g., HeLa cells, which express DAXX)

  • Include negative controls (ideally DAXX knockout cell lines)

  • Assess signal-to-noise ratio to determine optimal dilution

For Immunohistochemistry:

  • Begin with dilutions between 1:250-1:1000

  • Perform antigen retrieval with citrate buffer pH 6.0 or TE buffer pH 9.0

  • Titrate antibody concentration to achieve specific nuclear staining

  • Include positive tissue controls (e.g., human stomach tissue)

For Immunofluorescence:

  • Start with higher concentrations (1:25-1:50)

  • Optimize fixation method (4% formaldehyde or 100% methanol)

  • Include counterstains to visualize nuclei (DAPI) and cell boundaries

Remember that optimal dilutions may vary between antibody lots and should be determined empirically for each new application or sample type .

What are the best methods for validating DAXX antibody specificity?

Rigorous validation of DAXX antibody specificity is essential for reliable research:

  • Genetic approaches:

    • Use DAXX knockout cell lines as negative controls

    • Compare staining patterns in wild-type vs. knockout cells by Western blot, immunofluorescence, or IHC

  • Peptide competition assays:

    • Pre-incubate antibody with the immunizing peptide

    • Loss of signal indicates specific binding

  • Multiple antibody validation:

    • Use different antibodies targeting distinct DAXX epitopes

    • Consistent results with different antibodies support specificity

  • siRNA knockdown:

    • Transfect cells with DAXX-specific siRNA for 72 hours

    • Verify reduced protein expression by Western blot

    • Compare immunofluorescence staining between control and knockdown cells

  • Expected localization patterns:

    • DAXX is predominantly nuclear with enrichment in PML nuclear bodies

    • Verify subcellular localization matches known distribution patterns

The gold standard validation combines multiple approaches, particularly genetic knockout/knockdown strategies with biochemical verification .

What antigen retrieval methods are recommended for DAXX immunohistochemistry?

Effective antigen retrieval is crucial for DAXX detection in formalin-fixed, paraffin-embedded tissues:

  • Heat-induced epitope retrieval (HIER):

    • Citrate buffer (pH 6.0): Heat for 20 minutes at 98°C

    • TE buffer (pH 9.0): Alternative method for some antibodies

  • Protocol optimization:

    • Tissue fixation affects antigen accessibility; optimize retrieval time based on fixation duration

    • Compare different retrieval buffers for your specific tissue type

    • Ensure complete deparaffinization before antigen retrieval

  • Considerations for specific tissues:

    • For stomach tissue, citrate buffer (pH 6.0) has been validated

    • For bladder urothelial carcinoma, HIER with citrate buffer for 20 min at 98°C shows good results

  • Post-retrieval processing:

    • Block endogenous peroxidase activity with 3% hydrogen peroxide

    • Block non-specific binding with 5% normal goat serum prior to antibody incubation

The quantitative immunohistochemical analysis in human bladder tissue demonstrates that optimized antigen retrieval enables detection of differential DAXX expression between normal urothelium and urothelial carcinoma .

Why might I observe different DAXX staining patterns in different cell types or tissues?

Differential DAXX staining patterns may result from several biological and technical factors:

  • Biological variations:

    • Expression levels vary across cell and tissue types

    • Post-translational modifications affect epitope accessibility

    • In normal urothelium, DAXX shows stronger staining in superficial cell layers compared to basal cells

    • In urothelial carcinoma, this gradient is altered with lower staining in cells adjacent to stroma

  • Subcellular localization differences:

    • DAXX predominantly localizes to the nucleus but can translocate to the cytoplasm under stress conditions

    • Nuclear localization often appears as a speckled pattern corresponding to PML nuclear bodies

    • Cytoplasmic translocation may occur during apoptotic signaling

  • Chromatin status:

    • DAXX functions as a chromatin remodeler, and its association with chromatin varies with chromatin condensation state

    • Nuclear staining intensity correlates with chromatin organization patterns

  • Technical considerations:

    • Different fixation methods affect epitope preservation

    • Variations in antigen retrieval efficiency across tissues

    • Antibody clones recognize different epitopes with variable accessibility

In quantitative analyses of normal urothelium versus urothelial carcinoma, researchers found that 70% of normal urothelium nuclei were immunostained, whereas 90% of carcinoma nuclei were positive, with distinct differences in staining intensity and distribution .

How can I distinguish between specific and non-specific signals when using DAXX antibodies?

Distinguishing specific from non-specific signals requires systematic controls and analysis:

  • Essential controls:

    • Negative controls: DAXX knockout cells or tissues show complete absence of specific signal

    • Antibody controls: Replace primary antibody with non-immune serum of the same species

    • Absorption controls: Pre-incubate antibody with immunizing peptide to block specific binding

  • Signal characteristics for specific DAXX staining:

    • Subcellular localization: Predominantly nuclear with enrichment in nuclear speckles/PML bodies

    • Molecular weight: ~100-120 kDa band on Western blots despite calculated MW of 81 kDa

    • Signal ablation: Complete loss of signal in DAXX knockout cells

  • Common non-specific patterns to watch for:

    • Uniform cytoplasmic staining without nuclear signal

    • Membrane-only staining

    • Signal persisting in knockout controls

    • Multiple bands on Western blot that don't disappear in knockout samples

  • Validation in multiple applications:

    • Confirm findings across complementary techniques (e.g., WB, IF, IHC)

    • Consistency across different antibodies targeting distinct DAXX epitopes

Researchers have demonstrated specific DAXX detection using knockout validation in HeLa, HAP1, and HCT116 cell lines, showing complete absence of the ~100 kDa band in knockout samples .

How should I quantitatively analyze DAXX immunostaining in tissue samples?

Quantitative analysis of DAXX immunostaining provides valuable insights into expression patterns:

  • Image acquisition considerations:

    • Use consistent exposure settings across samples

    • Capture multiple representative fields (≥5) per sample

    • Include calibration standards for intensity normalization

  • Nuclear measurement parameters:

    • Nuclear area: Measure in square microns using calibrated software

    • Staining intensity: Quantify using gray level values (lower values indicate stronger staining)

    • Percentage of positive nuclei: Calculate proportion of stained versus total nuclei

  • Compartment-specific analysis:

    • For stratified epithelia, separately analyze:

      • Basal layer (adjacent to stroma)

      • Intermediate cell layers

      • Superficial/luminal cell layer

  • Statistical approaches:

    • Compare mean gray values between experimental groups

    • Analyze at least 40 nuclei per location for statistical robustness

    • Apply appropriate statistical tests (e.g., Student's t-test)

In a study comparing normal urothelium to urothelial carcinoma, researchers found:

  • UC nuclei were 1.7× larger than normal urothelium nuclei (UC: 24.4±11.4 μm² vs. NU: 14.8±6.5 μm²)

  • Mean gray level value in UC was lower than in NU by a factor of 0.94 (UC: 100±15 vs. NU: 106±15)

  • 70% of normal urothelium nuclei were DAXX-positive versus 90% in urothelial carcinoma

How can DAXX antibodies be used to study chromatin remodeling and histone deposition?

DAXX functions as a histone chaperone in the ATRX:DAXX complex, making DAXX antibodies valuable tools for chromatin research:

  • Chromatin immunoprecipitation (ChIP) applications:

    • Identify genomic regions where DAXX is recruited

    • Study DAXX association with histone H3.3-enriched regions

    • Investigate DAXX recruitment to pericentric and telomeric regions

  • Co-immunoprecipitation studies:

    • Isolate DAXX-containing complexes to identify interaction partners

    • Study DAXX association with ATRX, histone H3.3, and PML bodies

    • Analyze how these interactions change under different conditions

  • Fluorescence microscopy approaches:

    • Visualize DAXX colocalization with histone H3.3

    • Track DAXX recruitment to PML nuclear bodies

    • Study dynamics of DAXX-mediated histone deposition at specific genomic loci

  • Functional studies:

    • Combine DAXX antibodies with DAXX knockdown/knockout

    • Analyze histone H3.3 deposition patterns in DAXX-deficient cells

    • Investigate changes in chromatin organization using DAXX antibodies as markers

DAXX has been shown to facilitate replication-independent deposition of histone H3.3 in pericentric DNA repeats and telomeres, and is required for the recruitment of histone H3.3:H4 dimers to PML nuclear bodies .

What is the role of DAXX in cancer biology and how can DAXX antibodies contribute to cancer research?

DAXX has emerging roles in cancer biology, making DAXX antibodies important tools in cancer research:

  • DAXX alterations in cancer:

    • Somatic mutations in DAXX occur in alternative lengthening of telomeres (ALT) cancers

    • DAXX is frequently mutated in pancreatic neuroendocrine tumors

    • Altered DAXX expression serves as a marker of aggressiveness in urothelial carcinoma

  • Research applications of DAXX antibodies in cancer:

    • Expression analysis: Quantify DAXX levels across tumor types and grades

    • Prognostic markers: Correlate DAXX expression patterns with clinical outcomes

    • Chromatin studies: Investigate how DAXX alterations affect chromatin organization in cancer cells

  • Methodological approaches:

    • Tissue microarrays: Analyze DAXX expression across large tumor cohorts

    • Immunohistochemical scoring: Develop standardized scoring systems for DAXX expression

    • Multi-marker panels: Combine DAXX with other chromatin modifiers as diagnostic/prognostic tools

  • Emerging research directions:

    • DAXX immunostaining in combination with markers of global DNA methylation and histone acetylation may serve as markers of tumor aggressiveness

    • Quantitative analysis of nuclear DAXX expression in preinvasive phases could help identify aggressive tumors

A quantitative immunohistochemical study demonstrated altered DAXX expression in urothelial carcinoma and its preinvasive phases compared to normal urothelium, suggesting potential roles as a marker of aggressiveness when combined with other epigenetic markers .

How can DAXX antibodies be used to investigate the relationship between DAXX and centromeric noncoding RNA transcription?

Recent research has revealed DAXX's role in regulating noncoding RNA transcription at centromeres:

  • Research context:

    • DAXX promotes centromeric localization of ZFAT (Zinc finger protein with AT hook domain)

    • This localization regulates noncoding RNA transcription at centromeres

    • Dysregulation affects chromosome segregation and genomic stability

  • Experimental approaches:

    • RNA interference: siRNA-mediated DAXX knockdown (72h transfection) followed by qRT-PCR to measure centromeric ncRNA levels

    • Immunofluorescence: Visualize DAXX and ZFAT colocalization at centromeres using confocal microscopy

    • Chromatin immunoprecipitation: Assess DAXX recruitment to centromeric regions

  • Technical considerations:

    • Fix cells with 100% methanol for 20 min at -20°C for optimal centromeric protein detection

    • Permeabilize with 0.3% Triton X-100 to maintain nuclear architecture

    • Use laser-scanning confocal microscopy for precise colocalization analysis

  • Methodological workflow:

    • Transfect cells with DAXX siRNA using Lipofectamine RNAiMAX

    • Extract RNA with TRIzol reagent and synthesize cDNA

    • Perform qPCR with specific primers for centromeric transcripts

    • Process cells in parallel for immunofluorescence to correlate DAXX levels with centromeric protein localization

This research area demonstrates how DAXX antibodies can help understand the complex relationship between chromatin proteins and noncoding RNA regulation at centromeres, with implications for chromosome segregation and genomic stability .

What methods can be used to study DAXX post-translational modifications using DAXX antibodies?

Post-translational modifications (PTMs) of DAXX regulate its functions and interactions:

  • Key DAXX post-translational modifications:

    • Phosphorylation: Affects DAXX subcellular localization and protein interactions

    • SUMOylation: Influences DAXX association with PML nuclear bodies

    • Ubiquitination: Regulates DAXX protein stability and turnover

  • Experimental approaches:

    • Phospho-specific antibodies: Detect specific phosphorylated residues on DAXX

    • 2D gel electrophoresis: Separate DAXX isoforms based on charge differences from PTMs

    • IP-Mass spectrometry: Immunoprecipitate DAXX and identify modifications by MS

    • Sequential immunoprecipitation: First IP with DAXX antibody, then probe with PTM-specific antibodies

  • Methodological considerations:

    • Include phosphatase inhibitors in lysis buffers to preserve phosphorylation

    • Add SUMO protease inhibitors (e.g., N-ethylmaleimide) to maintain SUMOylation

    • Use proteasome inhibitors to prevent degradation of ubiquitinated forms

    • Compare DAXX migration patterns on Western blots before and after phosphatase treatment

  • Advanced applications:

    • Proximity ligation assay (PLA): Detect specific modified forms of DAXX in situ

    • FRET analysis: Study how PTMs affect DAXX interactions with partners

    • Live cell imaging: Track how PTMs influence DAXX dynamics and localization

The observed higher molecular weight of DAXX in Western blots (100-120 kDa vs. calculated 81 kDa) likely reflects these numerous post-translational modifications , making careful sample preparation crucial for studying DAXX PTMs.

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