CENPX is a DNA-binding component of the Fanconi anemia (FA) core complex, essential for resolving interstrand DNA crosslinks and maintaining genome integrity . Antibodies targeting CENPX are polyclonal or monoclonal immunoglobulins designed to detect the protein in experimental systems. These antibodies are widely used in Western blot (WB), immunohistochemistry (IHC), and immunocytochemistry (ICC) applications .
Key Features of CENPX Antibodies:
Target Specificity: Recognizes the 9 kDa CENPX protein in human, mouse, bovine, and zebrafish models .
Isoform Detection: Capable of identifying up to three reported CENPX isoforms .
Clinical Relevance: Used in studying diabetes, genomic instability, and FA-related disorders .
CENPX antibodies enable precise detection of the protein in diverse experimental contexts. Their primary applications include:
CENPX inhibition has emerged as a potential therapeutic strategy for type 2 diabetes mellitus (T2DM):
Mechanism: Cenpx knockdown in zebrafish and mice models reduced fasting blood glucose levels by upregulating insulin synthesis and activating downstream pathways (e.g., mTOR, leptin) .
Key Results:
CENPX interacts with FANCM to resolve DNA interstrand crosslinks, but its role in diabetes suggests additional functions:
Contradictory Insights: While CENPX is critical for DNA repair, its inhibition in diabetic models improved glucose homeostasis without exacerbating DNA damage . This suggests CENPX may regulate metabolic pathways independently of its repair function.
CENPX belongs to the CENP-X/MHF2 family, which binds chromatin and facilitates chromosomal segregation during mitosis. Antibodies have been used to study its subcellular localization and interaction with centromeric proteins .
CENPX (Centromere Protein X) is a critical component of the centromere complex involved in chromosome alignment and segregation during cell division. Research has demonstrated its importance in multiple cellular processes, with recent findings highlighting its unexpected role in metabolic regulation. Studies in diabetes models have shown that CENPX inhibition can ameliorate hyperglycemia and upregulate insulin synthesis, suggesting broader functions beyond its canonical centromere role . Similar to other centromere proteins like CENP-C, CENPX likely contributes to chromosome stability and proper spindle formation during mitosis, though the mechanisms may differ.
CENPX antibodies can be effectively used for analyzing various sample types, primarily human and mouse tissues and cell lines. Based on validated data from related centromere protein antibodies, researchers can successfully detect CENPX in cell lines such as HeLa, A431, and Jurkat cells . For tissue analysis, pancreatic tissues have shown detectable levels of CENPX expression, particularly relevant in metabolic research contexts . When selecting samples, researchers should consider the tissue-specific expression patterns of CENPX, as demonstrated in diabetes research where CENPX knockdown had significant effects in pancreatic tissue but not in liver tissue .
Validating CENPX antibodies requires multiple complementary approaches to ensure specificity and sensitivity. Standard validation techniques include Western blot analysis to confirm molecular weight (expected around 107 kDa calculated, though observed molecular weights may differ), immunofluorescence to verify subcellular localization at centromeres, and antibody specificity testing using knockout or knockdown controls . For CENPX antibodies, validation in both human and mouse samples is recommended, particularly if conducting comparative studies. Researchers should test antibody reactivity against recombinant CENPX protein and evaluate cross-reactivity with other centromere proteins to ensure specificity. Validation should include positive controls where CENPX expression is known to be high, such as rapidly dividing cell populations.
While both target centromere proteins, CENPX and CENP-C antibodies differ in several important aspects. CENP-C antibodies have demonstrated remarkable stability and resistance to fixation methods including Carnoy's solution, making them particularly valuable for chromosome spread analysis . CENPX antibodies may not share this same resistance to fixatives, requiring optimization of fixation protocols. In terms of applications, CENP-C antibodies have been extensively validated for immunofluorescence dicentric assay (DCA), whereas CENPX antibodies have shown particular utility in metabolic research contexts . The molecular weight detected also differs significantly, with CENP-C observed at approximately 140 kDa versus the calculated 107 kDa for CENPX . Researchers should select the appropriate centromere protein antibody based on their specific experimental objectives and fixation requirements.
For chromosome visualization using CENPX antibodies, researchers should employ a modified protocol based on validated centromere protein antibody methods. Begin with cell fixation—while Carnoy's solution (3:1 methanol:acetic acid) works effectively for CENP-C antibodies, CENPX antibodies may require optimization between cold-methanol and Carnoy's fixation . For immunofluorescence:
Treat metaphase-arrested cells with hypotonic solution (0.075M KCl) for 20 minutes
Fix with selected fixative solution
Prepare chromosome spreads on clean glass slides
Block with 5% BSA in PBS for 1 hour
Incubate with CENPX primary antibody (optimal dilution 1:500-1:1000 based on CENP-C protocols)
Wash thoroughly with PBS containing 0.1% Tween-20
Apply fluorophore-conjugated secondary antibody
Counterstain DNA with DAPI and mount with anti-fade mounting medium
This protocol enables visualization of centromere locations and can be adapted for dicentric chromosome assays similar to those established using CENP-C antibodies .
CENPX antibodies provide valuable tools for investigating the newly discovered role of CENPX in metabolic regulation. For diabetes research applications:
Design experiments to correlate CENPX expression with insulin production and glucose regulation
Use immunofluorescence with CENPX antibodies in pancreatic tissue sections to examine localization patterns and potential colocalization with insulin-producing cells
Combine with siRNA knockdown experiments to validate antibody specificity and correlate protein depletion with metabolic outcomes
Employ Western blot analysis of pancreatic tissues to quantify CENPX expression levels across different metabolic states
Research has demonstrated that inhibition of CENPX expression in zebrafish and mouse T2DM models ameliorates hyperglycemia through induction of insulin secretion . CENPX antibodies can help reveal molecular mechanisms underlying this effect, particularly by examining expression patterns in insulin, mechanistic target of rapamycin, leptin, and insulin-like growth factor 1 pathways, which have shown activation following CENPX silencing .
When applying CENPX antibodies in radiation biology research, investigators should consider several specialized methodological factors:
Dose-response relationship: Establish baseline centromere visualization in non-irradiated controls before examining irradiated samples. CENP-C antibodies have demonstrated dose-dependent changes in dicentric chromosome formation between 1-10 Gy of γ rays, which may inform CENPX study design .
Sample preparation timing: Process samples at consistent time points post-irradiation, as radiation effects on centromere proteins may evolve over time.
Fixation optimization: Test multiple fixation protocols, as radiation may alter protein antigenicity. While CENP-C maintains antigenicity after Carnoy's fixation post-radiation, CENPX antibodies may require different conditions .
Quantification methods: Develop consistent scoring criteria for chromosome abnormalities, particularly if examining radiation-induced dicentric chromosomes. The innovative protocols established for CENP-C-based DCA provide a methodological framework that may be adapted for CENPX studies .
Signal intensity analysis: Consider quantitative analysis of fluorescence intensity, as radiation exposure has been shown to cause differences in fluorescence intensity between sister centromeres with CENP-C antibodies .
For multiplex immunofluorescence applications combining CENPX with other centromere or chromosomal markers:
Antibody compatibility testing: Verify antibody host species compatibility to avoid cross-reactivity between secondary antibodies. If using both CENPX and CENP-C antibodies, select preparations from different host species.
Sequential staining protocol:
Fix cells/tissues according to optimized protocols
Block with 5% normal serum from species unrelated to any antibody hosts
Apply first primary antibody (e.g., CENPX) and incubate overnight at 4°C
Wash thoroughly and apply corresponding secondary antibody
Wash again and block with 5% normal serum
Apply second primary antibody (e.g., tubulin for spindle visualization) and repeat detection steps
For nuclear counterstaining, use DAPI following all antibody incubations
Controls: Include single-stained controls to verify absence of cross-talk between channels.
Imaging parameters: Capture images sequentially rather than simultaneously when using multiple fluorophores to minimize bleed-through.
This approach has been validated in studies examining spindle defects and chromosome misalignment, showing that antibodies against centromere proteins can be effectively combined with tubulin labeling to assess both centromere positioning and spindle integrity .
When encountering unexpected CENPX antibody staining patterns, consider the following interpretative framework:
Non-centromeric nuclear staining: May indicate non-specific binding or previously uncharacterized nuclear functions of CENPX. Validate with alternative antibody lots and knockdown controls.
Differential intensity between sister centromeres: Similar to observations with CENP-C, this may reflect biologically relevant asymmetry rather than technical artifact. CENP-C studies have shown that radiation exposure can enhance this difference in fluorescence intensity between sister centromeres .
Cell cycle-dependent variations: CENPX localization and abundance may vary throughout the cell cycle. Compare with known cell cycle markers to determine if unexpected patterns correlate with specific cell cycle phases.
Tissue-specific patterns: Research on CENPX in diabetes models has revealed tissue-specific effects, with knockdown affecting pancreatic tissue but not liver tissue . Different tissues may exhibit distinct CENPX localization patterns.
Methodological considerations: Fixation methods significantly impact centromere protein antibody staining. While CENP-C antigenicity remains after Carnoy's fixation, other centromere proteins like γ-H2AX lose immunoreactivity . Test multiple fixation protocols if unexpected patterns emerge.
| Issue | Potential Causes | Solutions |
|---|---|---|
| False Positives | Cross-reactivity with related centromere proteins | Validate with knockout/knockdown controls; use pre-adsorption tests |
| Inadequate blocking | Increase blocking duration; test alternative blocking reagents | |
| Secondary antibody cross-reactivity | Include secondary-only controls; use more specific secondary antibodies | |
| False Negatives | Epitope masking during fixation | Test alternative fixation methods; consider antigen retrieval |
| Insufficient permeabilization | Optimize detergent concentration and incubation time | |
| Antibody degradation | Use fresh aliquots; validate antibody functionality with positive controls | |
| Low expression in sample type | Enrich for mitotic cells where centromere proteins are more abundant |
Researchers should implement appropriate controls for each experiment. For CENPX studies, positive controls should include samples with known expression, such as rapidly dividing cell populations, while negative controls should include secondary antibody-only samples and, ideally, CENPX-depleted samples through siRNA knockdown .
Distinguishing authentic CENPX signal from background requires methodical approach and appropriate controls:
Pattern recognition: True CENPX signal should appear as discrete, punctate dots corresponding to centromere locations. The distinctive doubled signals on sister centromeric regions observed with CENP-C can serve as a reference pattern .
Colocalization analysis: Perform dual labeling with established centromere markers (e.g., CENP-A or CENP-B) to confirm that CENPX signals colocalize with known centromere sites.
Signal-to-noise ratio quantification: Calculate the ratio between centromeric signal intensity and nuclear background. For centromere proteins, this ratio should typically exceed 3:1 for reliable detection.
Knockdown validation: Perform parallel staining of wild-type and CENPX-knockdown samples. True CENPX signals should be significantly reduced in knockdown samples, while non-specific background would remain relatively unchanged .
Cell cycle analysis: CENPX signals should exhibit characteristic cell cycle-dependent patterns, with potential differences in signal intensity and distribution between interphase and mitotic cells. The persistence of signals throughout all mitotic phases, as demonstrated for CENP-C, can provide reference patterns .
Technical controls: Include pre-immune serum controls and peptide competition assays to verify antibody specificity.
While specific data on CENPX in oocyte development is limited in the provided search results, related centromere protein research provides a valuable framework. Studies with CENP-C antibodies have demonstrated that centromere proteins play crucial roles in oocyte meiosis. CENP-C antibody immunization studies revealed significant effects on oocyte maturation, with decreased polar body extrusion rates (52.73 ± 2.03% in experimental groups vs. 77.90 ± 1.06% in controls) .
For CENPX investigation in oocyte development:
Design immunofluorescence studies examining CENPX localization during oocyte maturation stages
Assess potential correlation between CENPX expression patterns and meiotic spindle integrity
Implement CENPX knockdown/knockout approaches to determine functional consequences
Compare CENPX localization with CENP-C and other centromere proteins to identify unique vs. shared functions
The high percentage of spindle defects (64.67 ± 1.16% vs. 9.27 ± 2.28% control) and chromosome misalignment (50.80 ± 2.40% vs. 8.30 ± 1.16% control) observed with CENP-C antibody treatment suggests centromere proteins are essential for proper chromosome alignment and spindle formation—functions that CENPX may potentially share.
To effectively analyze spindle formation and chromosome alignment using CENPX antibodies, researchers should employ multiplex immunofluorescence approaches similar to those validated with other centromere proteins:
Multiplex staining protocol:
Fix cells/oocytes with methanol or optimized fixative
Perform immunolabeling with anti-CENPX antibody for centromeres
Co-stain with anti-tubulin antibody for spindle visualization
Counterstain with DAPI for chromosome visualization
Quantification parameters:
Assess spindle morphology, categorizing as normal or abnormal based on established criteria (barrel-shaped vs. elongated or irregular)
Evaluate chromosome alignment, scoring as aligned (at equatorial plate) or misaligned
Quantify the number and positioning of CENPX signals in relation to the metaphase plate
Analysis framework: When analyzing results, consider the following classification system based on CENP-C research findings :
| Spindle Morphology | Chromosome Alignment | Typical Frequency in Control | Indication |
|---|---|---|---|
| Normal (barrel-shaped) | Aligned at equator | 90.7% | Proper centromere function |
| Abnormal (elongated/irregular) | Misaligned | 64.6% in antibody-treated | Centromere protein dysfunction |
This approach can help identify whether CENPX dysfunction specifically affects spindle morphology, chromosome alignment, or both processes, providing insight into its precise role in cell division.
The most promising emerging application for CENPX antibodies lies in metabolic disease research, particularly type 2 diabetes mellitus (T2DM). Recent groundbreaking research has identified CENPX as a potential therapeutic target against T2DM through experiments in both zebrafish and mouse models . CENPX antibodies can facilitate:
Target validation studies: Using antibodies to confirm knockdown/knockout efficiency in CENPX-targeted therapeutic approaches.
Mechanism elucidation: Investigating how CENPX silencing activates insulin, mechanistic target of rapamycin, leptin, and insulin-like growth factor 1 pathways .
Biomarker development: Exploring CENPX expression levels as potential biomarkers for diabetes risk or treatment response.
Tissue-specific expression profiling: Mapping CENPX expression across tissues to identify optimal therapeutic targeting strategies, particularly given the observed pancreas-specific effects .
Combination therapy studies: Investigating how CENPX inhibition might complement existing diabetes treatments.
This represents a paradigm shift in understanding centromere proteins beyond their canonical chromosomal roles, opening new avenues for therapeutic intervention in metabolic disorders.
CENPX antibodies offer valuable tools for investigating centromere biology and genome stability:
Centromere assembly dynamics: Track CENPX incorporation into centromeric regions across the cell cycle to understand assembly hierarchies and dependencies.
Radiation response studies: Similar to CENP-C research showing radiation-induced alterations in centromere fluorescence , CENPX antibodies can help characterize how radiation exposure affects centromere structure and function.
Chromosome missegregation analysis: Develop quantitative immunofluorescence assays using CENPX antibodies to detect early signs of chromosome instability in cancer and aging models.
Centromere protein interaction network mapping: Use CENPX antibodies for co-immunoprecipitation studies to identify novel protein interactions at centromeres under normal and stressed conditions.
Comparative studies across model organisms: Leverage cross-reactivity of CENPX antibodies between human and mouse samples to conduct evolutionary studies of centromere function.
These applications will contribute to a more comprehensive understanding of how centromere dysfunction contributes to diseases characterized by genomic instability, including cancer and developmental disorders.