CDC73 Antibody, Biotin conjugated

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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 of receipt. Delivery times may vary depending on the purchase method and location. Please contact your local distributor for precise delivery estimates.
Synonyms
C1orf28 antibody; CDC 73 antibody; Cdc73 antibody; CDC73_HUMAN antibody; Cell division cycle 73 antibody; Cell division cycle 73 Paf1/RNA polymerase II complex component homolog antibody; Cell division cycle 73 Paf1/RNA polymerase II complex component like protein antibody; Cell division cycle protein 73 homolog antibody; FIHP antibody; FLJ23316 antibody; HPT JT antibody; HPTJT antibody; HRPT 2 antibody; HRPT1 antibody; HRPT2 antibody; Hyperparathyroidism 2 (with jaw tumor) antibody; Hyperparathyroidism 2 antibody; Hyperparathyroidism 2 protein antibody; HYX antibody; Paf1/RNA polymerase II complex component antibody; Parafibromin antibody
Target Names
CDC73
Uniprot No.

Target Background

Function
CDC73, also known as parafibromin, is a tumor suppressor protein implicated in transcriptional and post-transcriptional regulatory pathways. It plays a role in cell cycle progression, notably through the regulation of cyclin D1/PRAD1 expression. As a component of the PAF1 complex (PAF1C), CDC73 contributes to multiple aspects of RNA polymerase II transcription, impacting embryonic stem cell pluripotency. PAF1C interacts with various phosphorylated and non-phosphorylated forms of POLR2A, influencing transcriptional elongation—both independently and in concert with TCEA1, the DSIF complex, and HTATSF1. Essential for Hox and Wnt target gene transcription, CDC73's involvement in hematopoiesis is notable, as it stimulates KMT2A/MLL1 transcriptional activity and contributes to leukemogenesis through interactions with KMT2A/MLL1-rearranged oncoproteins (e.g., KMT2A/MLL1-MLLT3/AF9 and KMT2A/MLL1-MLLT1/ENL). CDC73 participates in histone modifications, including H2B ubiquitination and H3K4me3 methylation. The PAF1C recruits the RNF20/40 E3 ubiquitin ligase complex and the E2 enzyme UBE2A or UBE2B to chromatin, facilitating H2BK120ub1 monoubiquitination, a process linked to transcription. Furthermore, CDC73 is involved in mRNA 3' end formation, potentially through associations with cleavage and poly(A) factors. In influenza A (H3N2) infections, CDC73 interacts with the viral NS1 protein, modulating gene transcription. Its connections extend to the CPSF and CSTF complexes involved in mRNA processing and to the Wnt signaling pathway. CDC73 is ultimately involved in the polyadenylation of mRNA precursors.
Gene References Into Functions

The following studies highlight the role of CDC73 in various cancers and related syndromes:

  1. Post-transcriptional down-regulation of CDC73 contributed to cellular senescence. PMID: 29621547
  2. Hyperparathyroidism-jaw tumor (HPT-JT) syndrome, characterized by parathyroid adenomas (and carcinomas in 15% of cases) and fibro-osseous jaw tumors (in 35% of cases), arises from CDC73 (HRPT2) gene mutations. PMID: 27864865
  3. CDC73 mutations are key drivers in parathyroid carcinoma (PC) etiology. PMID: 28881068
  4. Multiple endocrine neoplasia (MEN) syndromes (MEN1, MEN2A, MEN2B, MEN4, and HPT-JT) are caused by germline mutations in specific genes: MEN1 (MEN1 gene), MEN2A/B (RET gene), MEN4 (CDKN1B gene), and HPT-JT (CDC73 gene). PMID: 28674121
  5. A novel CDC73 splice mutation was identified in recurrent hyperparathyroidism. PMID: 28394026
  6. Germline pathogenic CDC73 variants have been identified in patients with primary hyperparathyroidism, HPT-JT syndrome, and sporadic parathyroid carcinoma. PMID: 29040582
  7. Downregulated parafibromin expression is associated with colorectal carcinogenesis and cancer differentiation. PMID: 28223542
  8. A novel deletion of CDC73 exons 4-10 and a 5'UTR insertion were detected in affected individuals. PMID: 28774260
  9. Germline HRPT2 mutations are associated with parathyroid carcinoma. PMID: 27544721
  10. Parafibromin downregulation may promote ovarian cancer pathogenesis, dedifferentiation, and metastasis by suppressing aggressive phenotypes. PMID: 26409451
  11. Parafibromin may serve as a prognostic and predictive marker for breast carcinomas. PMID: 26832176
  12. Downregulated parafibromin expression plays a significant role in head and neck squamous cell carcinoma pathogenesis, differentiation, and metastasis. PMID: 26124004
  13. Parafibromin interacts with JAK1/2, influencing JAK1/2-STAT1 interactions and STAT1 tyrosine phosphorylation after IFN-gamma stimulation. PMID: 26232434
  14. Parafibromin targets and destabilizes p53 mRNA, controlling p53-mediated apoptosis. PMID: 25388829
  15. A novel CDC73 mutation was identified in HPT-JT syndrome. PMID: 25113791
  16. Four germline mutations (two novel point mutations, one recurrent point mutation, and one deletion mutation) were identified in Chinese families with familial isolated primary hyperparathyroidism and HPT-JT syndrome. PMID: 24716902
  17. Upregulated FGFR1 expression is associated with parathyroid carcinoma in HPT-JT syndrome due to an HRPT2 splicing mutation. PMID: 24889687
  18. An intragenic deletion of CDC73 exons 1-10 was detected in a family with familial primary hyperparathyroidism and parathyroid carcinoma. PMID: 24823466
  19. CDC73 mutations in nucleolar localization signals led to protein or mRNA instability. PMID: 24340015
  20. Negative parafibromin staining is associated with malignant behavior in atypical parathyroid adenomas. PMID: 24081804
  21. A novel nonsense mutation in CDC73 exon 1 was identified in a patient with HPT-JT syndrome. PMID: 23757631
  22. WT1 overexpression decreased CDC73 levels and promoted oral squamous cell carcinoma (OSCC) cell proliferation. PMID: 24257751
  23. Three siblings with familial isolated hyperparathyroidism and HRPT2 mutations were described. PMID: 24121387
  24. High parafibromin expression is associated with colorectal carcinomas. PMID: 23991985
  25. Twenty cases of clear cell papillary renal cell carcinoma (CCPRCC) showed diffuse and strong nuclear parafibromin positivity. PMID: 23060304
  26. The contribution of HRPT2 inactivation to the pathogenesis of ossifying fibroma (OF), fibrous dysplasia (FD), and osteosarcoma (OS) is limited to progression, not initiation. PMID: 23453027
  27. CDC73 mutations and negative immunostaining were prevalent in atypical parathyroid adenomas. PMID: 22987117
  28. High prevalence of HRPT2/CDC73 mutations and loss of parafibromin expression were observed in sporadic parathyroid carcinomas in a Chinese population. PMID: 23029104
  29. Oncogenic microRNA-155 downregulates CDC73 and promotes OSCC cell proliferation. PMID: 23166327
  30. CDC73-mutated carcinomas showed losses in chromosome 1p and chromosome 13, unlike CDC73-mutated adenomas. PMID: 23029479
  31. Complete loss of parafibromin expression was observed in 60% of carcinomas, while normal and benign parathyroid tissues showed positive staining. PMID: 22932087
  32. Germline inactivating CDC73 mutations are common in young patients with non-familial primary hyperparathyroidism. PMID: 22187299
  33. Novel germline and somatic CDC73 mutations (c.1475G>A; p.Trp492X and c.142G>T; p.Glu48X) were associated with parathyroid neoplasms. PMID: 21732217
  34. Both HRPT2 and MEN1 mutations may contribute to sporadic parathyroid cancer formation. PMID: 17555500
  35. Eight CDC73 sequence changes were identified, including three previously reported and five novel mutations. PMID: 21652691
  36. Parafibromin expression may indicate favorable prognosis in adenocarcinoma. PMID: 21692036
  37. Parafibromin overexpression may suppress cell cycle progression and promote differentiation. PMID: 21315421
  38. Absence of nucleolar parafibromin in carcinomas with HRPT2 mutations suggests nucleolar tumor suppressor properties. PMID: 21221636
  39. Downregulation of CASR expression and loss of parafibromin staining negatively impact parathyroid carcinoma prognosis. PMID: 21240254
  40. HRPT2 mutations were detected in parathyroid carcinoma or atypical parathyroid adenoma in Thai patients with sporadic hyperparathyroidism. PMID: 21717873
  41. Molecular genetic testing is recommended for patients with sporadic parathyroid carcinomas or atypical tumors to detect germline HRPT2 mutations. PMID: 21360064
  42. HRPT2 gene mutation may be associated with tumor recurrence. PMID: 20480190
  43. Analysis of CDC73 mutations in HPT-JT syndrome and parathyroid tumors. PMID: 20052758
  44. The stability of altered HRPT2 transcripts and translation products in HPT-JT syndrome was investigated. PMID: 20541447
  45. Loss of nucleolar localization and growth stimulation with the L95P mutation suggest that parafibromin's nucleolar interactions are crucial for its tumor suppressor function. PMID: 20304979
  46. Alternative mechanisms (intronic mutations, epigenetic regulation) may contribute to parafibromin expression loss. PMID: 20026646
  47. Association of CDC73 with hyperparathyroidism-jaw tumor syndrome. PMID: 12434154
  48. HRPT2 mutation is hypothesized as an early event leading to parathyroid malignancy, serving as a marker of malignant potential in familial and sporadic tumors. PMID: 12960210
  49. Only one family among 32 with familial isolated hyperparathyroidism showed a parafibromin (HRPT2) gene mutation. PMID: 14715834
  50. Genotype-phenotype analysis in familial isolated hyperparathyroidism. PMID: 14985373
Database Links

HGNC: 16783

OMIM: 145000

KEGG: hsa:79577

STRING: 9606.ENSP00000356405

UniGene: Hs.378996

Involvement In Disease
Hyperparathyroidism 1 (HRPT1); Hyperparathyroidism 2 with jaw tumors (HRPT2); Parathyroid carcinoma (PRTC)
Protein Families
CDC73 family
Subcellular Location
Nucleus.
Tissue Specificity
Found in adrenal and parathyroid glands, kidney and heart.

Q&A

What is CDC73 protein and why is it important in research?

CDC73, also known as parafibromin or HRPT2, is a 60 kDa protein that functions as a component of the PAF complex (PAFc), which controls RNA polymerase II-mediated general transcription . This protein has gained significant research interest due to its implications in parathyroid carcinoma and familial autosomal dominant hyperparathyroidism-jaw tumour syndrome (HPT-JT) . CDC73 plays a critical role in regulating mRNA stability, particularly of p53, thereby influencing p53-mediated apoptosis . Methodologically, studying CDC73 requires specific antibodies that can accurately detect and isolate this protein in various experimental contexts.

What are the main applications for biotin-conjugated CDC73 antibodies?

Biotin-conjugated CDC73 antibodies serve multiple research purposes with distinct methodological advantages:

ApplicationMethodological BenefitsCommon Protocol Parameters
Flow CytometryEnhanced signal amplification through streptavidin-based detection systemsTypically used at 1:100-1:500 dilution
ImmunohistochemistryReduced background and increased sensitivityOften used on paraffin-embedded sections
ImmunoprecipitationAllows for efficient pull-down using streptavidin beadsTypically used at approximately 1:50 dilution
Western BlottingProvides versatile detection optionsUsed at 1:1000 dilution for optimal results

When designing experiments, researchers should conduct titration experiments to determine optimal antibody concentrations for their specific samples and detection systems.

How do I distinguish between CDC73 isoforms using biotin-conjugated antibodies?

To distinguish between CDC73 isoforms, consider the following methodological approach:

  • Verify the epitope recognized by your biotin-conjugated antibody by consulting the manufacturer's data sheet. Some antibodies target regions corresponding to the full-length Human NT5E or specific sequence segments (e.g., Q119-R520 as noted for some recombinant immunogens) .

  • Perform Western blot analysis using positive controls with known expression of different isoforms. The expected molecular weight of the primary CDC73 protein is approximately 60 kDa .

  • Consider using higher resolution SDS-PAGE (10-12%) to separate closely sized isoforms.

  • For validation, combine your biotin-conjugated antibody with other antibodies recognizing different epitopes of CDC73 in parallel experiments.

How might the biotin conjugation affect CDC73 antibody binding to its cytoplasmic versus nuclear targets?

The biotin conjugation of CDC73 antibodies presents complex considerations for targeting differentially localized CDC73 proteins:

CDC73 functions in both nuclear and cytoplasmic compartments, with research suggesting distinct roles in each location. In the nucleus, CDC73 participates in the PAF complex for transcriptional regulation, while in the cytoplasm, it interacts with eEF1Bγ and hSki8 to regulate p53 mRNA stability . When using biotin-conjugated antibodies:

  • Nuclear targeting may be affected by steric hindrance from the biotin molecule, particularly if the conjugation occurs near the epitope recognition site.

  • For cytoplasmic CDC73 detection, researchers should verify antibody penetration by comparing permeabilization protocols (e.g., 0.1-0.5% Triton X-100 vs. 0.1% saponin).

  • Quantitative analysis of nuclear vs. cytoplasmic signals should include appropriate controls to account for potential differences in antibody accessibility to different cellular compartments.

  • When studying CDC73's interaction with p53 mRNA in the cytoplasm, consider using RNA-immunoprecipitation techniques with biotin-conjugated antibodies, followed by streptavidin pull-down for enhanced specificity .

What experimental controls are essential when using biotin-conjugated CDC73 antibodies to study cancer-related mutations?

When investigating cancer-related CDC73 mutations such as K34Q , implement these critical controls:

Control TypeImplementationRationale
Isotype ControlInclude a biotin-conjugated antibody of the same isotype (e.g., IgG1 for mouse monoclonal )Validates signal specificity and identifies non-specific binding
Blocking PeptidePre-incubate antibody with recombinant CDC73 peptideConfirms epitope-specific binding
Genetic ControlsCompare CDC73 wild-type with knockout/knockdown modelsValidates antibody specificity and establishes baseline signals
Mutant ControlsInclude both wild-type and known mutant CDC73 (e.g., K34Q)Establishes detection parameters for mutant proteins
Endogenous Loading ControlInclude detection of housekeeping proteinsEnsures consistent sample loading and processing

Additionally, when studying the K34Q mutation specifically, consider that this mutation enhances association with p53 mRNA , potentially altering epitope accessibility for certain antibodies.

How can I optimize immunoprecipitation protocols using biotin-conjugated CDC73 antibodies for protein-RNA interaction studies?

For studying CDC73's interactions with p53 mRNA or other RNA targets , optimize your immunoprecipitation protocol:

  • Cross-linking optimization: Test formaldehyde concentrations (0.1-1%) and incubation times (5-15 minutes) to capture transient protein-RNA interactions without over-fixation.

  • Antibody-to-bead ratio: For biotin-conjugated antibodies, pre-determine the optimal antibody-to-streptavidin bead ratio (typically starting with 1-5 μg antibody per 50 μl of bead slurry).

  • Buffer composition: Include RNase inhibitors (40 U/μl) and adjust salt concentration (150-500 mM NaCl) to maintain specificity while preserving interactions.

  • Elution strategy: For biotin-conjugated antibodies, consider competitive elution with biotin or direct RNA extraction from beads to avoid protein contamination.

  • Sequential immunoprecipitation: To study CDC73's interaction with both eEF1Bγ and hSki8 , perform sequential IPs using differently labeled antibodies.

What are the optimal fixation and permeabilization protocols for using biotin-conjugated CDC73 antibodies in immunocytochemistry?

Fixation and permeabilization protocols significantly impact biotin-conjugated CDC73 antibody performance:

  • Fixation comparison:

    • Paraformaldehyde (4%, 10-15 minutes): Preserves morphology but may mask some epitopes

    • Methanol (-20°C, 10 minutes): Better for nuclear antigen detection

    • Hybrid approach (2% PFA followed by methanol): Often optimal for both cytoplasmic and nuclear CDC73 detection

  • Permeabilization optimization:

    • For biotin-conjugated antibodies targeting CDC73, use 0.2-0.5% Triton X-100 for balanced nuclear and cytoplasmic detection

    • Extend permeabilization time (15-30 minutes) when working with dense tissues

  • Antigen retrieval:

    • For paraffin-embedded tissues, citrate buffer (pH 6.0) heat-mediated retrieval improves detection of CDC73 in both nuclear and cytoplasmic compartments

  • Signal amplification:

    • Leverage biotin conjugation with streptavidin-HRP or streptavidin-fluorophore systems

    • Use tyramide signal amplification for ultra-sensitive detection of low-abundance CDC73

How should I troubleshoot inconsistent Western blot results when using biotin-conjugated CDC73 antibodies?

When facing inconsistent Western blot results with biotin-conjugated CDC73 antibodies, apply this systematic troubleshooting approach:

  • Sample preparation issues:

    • CDC73 is susceptible to proteolytic degradation; use fresh protease inhibitor cocktails

    • Include phosphatase inhibitors as CDC73 function may be regulated by phosphorylation

    • Test different lysis buffers (RIPA vs. NP-40) as CDC73 extraction efficiency varies by buffer type

  • Detection system optimization:

    • For biotin-conjugated antibodies, excessive endogenous biotin can cause background; block with avidin/biotin blocking kits

    • Use streptavidin-HRP at appropriate dilution (typically 1:1000-1:5000)

    • Validate detection with alternative systems (e.g., direct HRP-conjugated secondary antibodies)

  • Membrane optimization:

    • PVDF membranes may provide better results than nitrocellulose for CDC73 detection

    • Optimize blocking conditions (5% BSA often superior to milk for phospho-specific detection)

  • Molecular weight verification:

    • CDC73/parafibromin should appear at approximately 60 kDa

    • Verify specificity with positive control lysates

What is the most reliable approach for quantifying CDC73 expression levels using biotin-conjugated antibodies in flow cytometry?

For accurate quantification of CDC73 expression by flow cytometry:

  • Standardization protocol:

    • Use calibration beads with known quantities of biotin-binding sites

    • Establish a standard curve relating fluorescence intensity to molecules of equivalent soluble fluorochrome (MESF)

  • Signal normalization:

    • Include consistent positive controls (cell lines with stable CDC73 expression)

    • Use isotype-matched biotin-conjugated controls at identical concentrations

    • Apply fluorescence minus one (FMO) controls to establish gating boundaries

  • Multi-parameter analysis:

    • When studying CDC73's relationship to p53-mediated processes , incorporate co-staining for cell cycle markers and apoptosis indicators

    • Implement compensation matrices for spectral overlap when using multiple fluorochromes

  • Data analysis:

    • Report median fluorescence intensity rather than mean values for non-normally distributed expression patterns

    • Use ratio of specific signal to isotype control rather than raw fluorescence values for cross-experimental comparisons

How can biotin-conjugated CDC73 antibodies be optimized for studying parathyroid carcinoma and HPT-JT syndrome?

CDC73 mutations are heavily implicated in parathyroid carcinoma and hyperparathyroidism-jaw tumour syndrome , requiring specialized methodological approaches:

  • Tissue-specific protocol modifications:

    • For parathyroid tissues, extend antigen retrieval times (20-30 minutes)

    • Use lower antibody concentrations (0.25-0.5 μg/ml) for immunofluorescence to reduce background

    • Consider dual staining with parathyroid hormone (PTH) antibodies for co-localization studies

  • Mutation-specific detection strategies:

    • Design comparative analyses between wild-type and CDC73 mutant tissues

    • Implement antibodies that specifically recognize wild-type epitopes (allowing detection of loss of expression)

    • For biotin-conjugated antibodies, optimize signal-to-noise ratio through titration experiments

  • Clinical correlation techniques:

    • Establish scoring systems for CDC73 immunoreactivity (0-3+ scale)

    • Compare nuclear versus cytoplasmic staining patterns

    • Loss of parafibromin immunoreactivity is a distinguishing feature of parathyroid carcinoma

What methodological approaches can integrate biotin-conjugated CDC73 antibodies with p53 pathway analysis?

Given CDC73's role in p53 mRNA stability and apoptosis regulation , consider these integrated approaches:

  • Co-immunoprecipitation strategy:

    • Use biotin-conjugated CDC73 antibodies for initial pull-down

    • Analyze associated p53 mRNA through RT-qPCR

    • Quantify eEF1Bγ and hSki8 co-precipitation through Western blotting

  • Sequential immunofluorescence protocol:

    • Implement multi-color immunofluorescence for CDC73, p53, and downstream apoptotic markers

    • Use biotin-conjugated CDC73 antibody with streptavidin-conjugated fluorophores compatible with other detection channels

    • Apply spectral unmixing for channels with overlapping emission spectra

  • Functional validation approach:

    • Combine CDC73 detection with apoptosis assays (TUNEL, Annexin V)

    • Correlate CDC73 subcellular localization with p53 protein levels

    • Implement RNA-immunoprecipitation to directly measure CDC73-p53 mRNA interactions under different experimental conditions

How can biotin-conjugated CDC73 antibodies be incorporated into single-cell analysis platforms?

For integrating CDC73 antibodies into single-cell technologies:

  • Mass cytometry (CyTOF) adaptation:

    • Conjugate CDC73 antibodies with isotope-labeled streptavidin for metal-based detection

    • Optimize antibody concentration for signal-to-noise ratio in multiplex panels

    • Include established markers for cell cycle and apoptosis to correlate with CDC73 expression

  • Single-cell sequencing integration:

    • Implement CITE-seq protocols using biotin-conjugated CDC73 antibodies and oligonucleotide-tagged streptavidin

    • Correlate CDC73 protein levels with transcriptomic profiles

    • Apply computational methods to identify CDC73-associated gene expression networks

  • Imaging mass cytometry:

    • Use biotin-conjugated CDC73 antibodies with metal-labeled streptavidin for spatial proteomics

    • Analyze subcellular localization patterns in relation to tissue architecture

    • Implement machine learning algorithms for pattern recognition across tissue sections

What are the optimal approaches for studying CDC73 post-translational modifications using biotin-conjugated antibodies?

To investigate CDC73 post-translational modifications:

  • Phosphorylation analysis strategy:

    • Combine biotin-conjugated general CDC73 antibodies with phospho-specific antibodies

    • Implement phosphatase treatments as controls

    • Use Phos-tag gels to separate phosphorylated from non-phosphorylated CDC73 forms

  • Ubiquitination detection method:

    • Perform sequential immunoprecipitation with biotin-conjugated CDC73 antibodies followed by ubiquitin detection

    • Include proteasome inhibitors (MG132) in experimental design

    • Compare wild-type CDC73 with K34Q mutant for differences in ubiquitination patterns

  • Acetylation investigation approach:

    • Treat samples with histone deacetylase inhibitors to preserve acetylation

    • Use biotin-conjugated CDC73 antibodies for initial enrichment followed by acetyl-lysine antibody detection

    • Consider mass spectrometry to map specific acetylation sites

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