Fbxo32 Antibody

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Description

Biological Context of FBXO32

FBXO32, also known as MAFbx or Atrogin-1, is a substrate-recognition component of the SCF (SKP1-CUL1-F-box protein) E3 ubiquitin ligase complex. It mediates proteasomal degradation of target proteins such as c-Myc , PTEN , and TERF1 . Key roles include:

  • Muscle atrophy: FBXO32 is upregulated during muscle wasting, targeting proteins like MyoD for degradation .

  • Cancer progression: FBXO32 exhibits dual roles, promoting metastasis in lung adenocarcinoma (LUAD) while acting as a tumor suppressor in bladder cancer .

  • Regulatory feedback: FBXO32 and c-Myc form a negative feedback loop, modulating cell proliferation .

Research Applications and Findings

FBXO32 antibodies have been pivotal in elucidating the protein’s role in disease mechanisms:

Cancer Metastasis

  • LUAD Progression: FBXO32 overexpression correlates with lymph node metastasis and poor prognosis. Antibodies confirmed FBXO32’s interaction with PTEN, promoting PI3K/AKT/mTOR pathway activation via PTEN degradation .

  • EMT Regulation: In breast cancer, FBXO32 depletion reduced metastasis by downregulating cytokines (e.g., IL-6/8) and migration genes .

Muscle Atrophy

  • Mechanistic Insights: Antibodies identified FBXO32 as a FOXO3a target, linking it to atrophy via MyoD and calcineurin degradation .

c-Myc Regulation

  • Ubiquitination: Studies using FBXO32 antibodies demonstrated c-Myc degradation at Lys-326, suppressing tumor cell proliferation .

Validation and Quality Control

  • Specificity: Antibodies show minimal cross-reactivity. For example, Proteintech’s 67172-1-Ig detects FBXO32 in skeletal muscle but not in non-muscle tissues .

  • Functional Assays: Knockdown/overexpression experiments validated antibody efficacy in WB and IHC .

Key Challenges and Considerations

  • Band Discrepancies: Anti-FBXO32 antibodies from different vendors may detect varying band patterns (e.g., ABclonal vs. Cell Signaling antibodies) .

  • Dual Roles in Cancer: Context-dependent pro-/anti-tumor effects necessitate careful model selection .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
F-box only protein 32 (Atrogin-1) (Muscle atrophy F-box protein) (MAFbx), Fbxo32
Target Names
Uniprot No.

Target Background

Function
Fbxo32 is a substrate recognition component of the SCF (SKP1-CUL1-F-box protein) E3 ubiquitin-protein ligase complex. This complex mediates the ubiquitination and subsequent proteasomal degradation of target proteins. Fbxo32 likely recognizes and binds to phosphorylated target proteins during skeletal muscle atrophy. It is also known to recognize TERF1.
Gene References Into Functions

Gene References & Function:

  1. Oligonol supplementation may be beneficial in mitigating myotube loss by downregulating the expression of Atrogin-1 and MuRF1 genes, which are involved in muscle loss and impaired myotube formation. (PMID: 28930190)
  2. Indoxyl sulfate, a uremic toxin, enhances oxidative stress in skeletal muscle, leading to increased atrogin-1 production and muscle atrophy. (PMID: 27549031)
  3. Valproic acid has shown to attenuate muscle wasting and myotube atrophy by reducing C/EBPbeta binding to the atrogin1 promoter locus in myotubes. (PMID: 27122162)
  4. Atrogin-1 plays a role in regulating smooth muscle contractility through enhancement of myocardin ubiquitylation/degradation and its transcriptional activity. (PMID: 27403897)
  5. While MAFbx mRNA expression decreases with age, MuRF1 mRNA expression remains relatively unaffected in older mice compared to adult mice. (PMID: 26590085)
  6. Simvastatin-induced heart mitochondria dysfunction is associated with the upregulation of Atrogin1, suggesting a potential role for Atrogin1 in this process. (PMID: 25300705)
  7. Atrogin1 is upregulated in cancer cachexia mice, and knockdown of Atrogin1 protects skeletal muscle cells from TNF-alpha induced atrophy. (PMID: 25760630)
  8. USP19 expression correlates with that of MuRF1 and MAFbx/atrogin-1 in skeletal muscles. (PMID: 26048142)
  9. MAFbx not only regulates protein degradation but also reduces protein synthesis, suggesting a dual role in regulating cardiac mass and preventing cardiac hypertrophy. (PMID: 24650875)
  10. Mechanical vibration has been shown to significantly downregulate the expression of atrophy genes, myostatin and atrogin-1, both in vivo and in vitro. (PMID: 22711460)
  11. mTORC1 promotes denervation-induced muscle atrophy through the activation of FoxO and E3 ubiquitin ligases, highlighting its role in this process. (PMID: 24570486)
  12. Atrogin-1 contributes to cardiomyocyte health by mediating the interplay between the ubiquitin/proteasome system and autophagy/lysosome system. Alterations in Atrogin-1 are linked to the development of cardiomyopathies. (PMID: 24789905)
  13. Smad3 expression stimulates atrogin-1 promoter activity, inhibits Akt/mTOR signaling and protein synthesis, and induces muscle fiber atrophy. (PMID: 24002653)
  14. The muscle wasting effects of the myostatin-atrogin-1 axis extend beyond the degradation of MyoD and eukaryotic translation initiation factor 3 subunit f, encompassing several other muscle proteins. (PMID: 22673621)
  15. Expression of MAFbx/Atrogin-1 and MuRF1 is significantly higher in the plantaris muscle compared to the soleus muscle during the early stage of atrophy. (PMID: 21901639)
  16. C/EBPbeta-/- mice exhibit resistance to Lewis lung cancer-induced atrogin1 upregulation and muscle wasting. The activation of the p38beta MAPK-C/EBPbeta signaling pathway appears to be crucial in cachexia. (PMID: 21847090)
  17. Downregulation of MAFbx inhibits cardiac hypertrophy, partly through stabilization of IkappaB-alpha and inactivation of nuclear factor-kappaB. (PMID: 21617130)
  18. Increased expression of MAFbx and Bnip3 is observed in the hearts of mice bearing colonic tumors. (PMID: 21167183)
  19. Myogenin is upregulated in skeletal muscle following denervation and regulates the expression of the E3 ubiquitin ligases MuRF1 and atrogin-1, which promote muscle proteolysis and atrophy. (PMID: 20887891)
  20. Berberine impairs mitochondrial function, stimulating the expression of atrogin-1 without affecting the phosphorylation of forkhead transcription factors. (PMID: 20522589)
  21. Atrogin-1 specifically targets truncated M7t-cMyBP-C for proteasomal degradation, but not WT-cMyBP-C. MuRF1 indirectly reduces cMyBP-C levels by regulating the transcription of myosin heavy chain. (PMID: 19850579)
  22. Slow in vivo release of GHRP-2 through minipump for 24h attenuated the thermal injury-induced increase in mRNA expression of IL-6 and the E3 ubiquitin ligases, MuRF-1 and MAFbx, in rat skeletal muscle. (PMID: 19577604)
  23. The SCF(atrogin-1) ubiquitin ligase complex represses calcineurin by targeting it for ubiquitin-mediated proteolysis, leading to inhibition of cardiac hypertrophy in response to pathological stimuli. (PMID: 15489953)
  24. MAFbx may play a significant role in muscle differentiation by determining the abundance of MyoD. (PMID: 15531760)
  25. Activation of atrogin-1 may be a common general adaptation in cells undergoing a rapid reduction in size. (PMID: 17008454)
  26. Atrogin-1 does not affect Akt activity but acts as a coactivator for members of the Forkhead family of transcription factors that function downstream of Akt. (PMID: 17965779)
  27. Atrogin-1 may be a critical mediator of the muscle damage induced by statins. (PMID: 17992259)
  28. Atrogin-1 targets the eukaryotic initiation factor 3 subunit 5 (eIF3-f) for ubiquitination and degradation by the proteasome. (PMID: 18354498)
  29. While further research is necessary to establish causal relationships, downregulation of MAFbx may have reduced MyoD degradation, potentially contributing to muscle regeneration. (PMID: 18785187)
  30. MAFbx targets MyoD for degradation in various models of skeletal muscle atrophy. (PMID: 19319192)
  31. This study demonstrated a reduction in astrogin1 protein levels in the skeletal muscle of chronic spinal cord-injured patients. (PMID: 19533653)
  32. Evidence suggests that MAFbx functions as an F-box protein in the SCF complex for ubiquitination of myogenin. (PMID: 19631210)
Database Links
Subcellular Location
Cytoplasm. Nucleus.
Tissue Specificity
Specifically expressed in cardiac and skeletal muscle.

Q&A

What is FBXO32 and why is it important in research?

FBXO32 (F-box protein 32), also known as Atrogin-1 or MAFbx, is a critical member of the F-box protein family. It functions as a component of the SCF (SKP-CUL1-F-Box) complex of ubiquitin ligases, which targets specific substrates for degradation. This protein contains an F-Box domain required for proper interaction with SKP1, CUL1, and ROC1 . FBXO32 has significant importance in muscle atrophy research and has been implicated in cardiac pathologies, including dilated cardiomyopathy through mutation studies . The protein's calculated molecular weight is 355 amino acids (42 kDa), which matches its observed molecular weight in experimental conditions .

What types of FBXO32 antibodies are available for research applications?

Researchers can utilize both monoclonal and polyclonal antibodies targeting FBXO32, each with distinct advantages depending on the experimental design. Monoclonal options like the 67172-1-Ig (Mouse IgG2b) demonstrate high specificity and consistency across experiments . Polyclonal alternatives such as A02531 (Rabbit IgG) offer broader epitope recognition that may enhance detection sensitivity in certain applications . Both antibody types show reactivity with human, mouse, and rat samples, making them versatile tools for comparative studies across species .

How should different tissue types be prepared for optimal FBXO32 detection?

For skeletal muscle and cardiac tissue, which are primary tissues for FBXO32 expression, preparation protocols significantly impact detection quality. Protein extraction should involve tissue grinding in liquid nitrogen followed by homogenization using sonication in a lysis buffer supplemented with protease inhibitor cocktail . For immunohistochemistry applications in skeletal muscle tissue, antigen retrieval with TE buffer pH 9.0 is suggested, though citrate buffer pH 6.0 may serve as an alternative . These tissue-specific protocols maximize epitope accessibility while preserving tissue architecture for accurate localization studies.

Which applications are most effective for FBXO32 antibody usage in research settings?

The effectiveness of FBXO32 antibodies varies across applications, with robust performance documented in multiple experimental contexts. Western blotting demonstrates exceptional sensitivity with monoclonal antibodies at dilutions of 1:10000-1:50000, making it ideal for quantitative analysis of protein expression levels . Immunohistochemistry applications show strong signal-to-noise ratios at 1:2000-1:8000 dilutions when appropriate antigen retrieval methods are employed . For intracellular localization studies, immunofluorescence provides high-resolution data at 1:50-1:500 dilutions . The following table summarizes optimal dilution ranges for key applications:

ApplicationMonoclonal (67172-1-Ig)Polyclonal (A02531)Notes
Western Blot (WB)1:10000-1:500001:500-1:1000Higher dilutions possible with monoclonal
Immunohistochemistry (IHC)1:2000-1:8000Not specifiedRequires optimal antigen retrieval
Immunofluorescence (IF-P)1:50-1:500Not specifiedBest for subcellular localization
Immunocytochemistry (ICC)Not specified1:50-1:200Effective for cellular studies
Immunoprecipitation (IP)Referenced in publicationsNot specifiedUseful for protein-protein interaction studies

How should researchers design controls for FBXO32 antibody experiments?

Robust experimental design requires appropriate positive and negative controls to validate FBXO32 antibody specificity. For positive controls, mouse skeletal muscle tissue, human heart tissue, pig heart tissue, and pig skeletal muscle tissue have demonstrated reliable FBXO32 expression . When investigating disease models, comparing tissues from patients with dilated cardiomyopathy against control heart samples can provide valuable contrast, particularly when examining FBXO32/SCF complex interactions . For negative controls, researchers should employ isotype-matched irrelevant antibodies and tissues known to lack FBXO32 expression. Additionally, validation through knockout/knockdown approaches offers definitive specificity confirmation, particularly important when characterizing novel FBXO32 functions.

What are the optimal storage and handling conditions for FBXO32 antibodies?

Maintaining antibody integrity requires strict adherence to storage recommendations. Both monoclonal and polyclonal FBXO32 antibodies should be stored at -20°C for long-term stability. The 67172-1-Ig antibody is supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3 and remains stable for one year after shipment when stored properly . The A02531 polyclonal antibody (1mg/ml in PBS with 0.02% sodium azide, 50% glycerol, pH7.2) can be stored at 4°C for up to one month for frequent use but should be returned to -20°C for longer storage periods . For both antibody types, repeated freeze-thaw cycles should be avoided by preparing small aliquots upon receipt to preserve functional integrity and prevent decreased performance in sensitive applications.

How can FBXO32 antibodies be used to investigate protein-protein interactions within the SCF complex?

Investigating FBXO32's role in the SCF complex requires sophisticated co-immunoprecipitation (co-IP) approaches. For these experiments, 400–700 μg of total cell lysates should be incubated with Flag- or Myc-resins coupled with primary antibody or control IgG in buffer supplemented with protease inhibitors for 2 hours at 4°C . This methodology has successfully demonstrated reduced binding of mutant FBXO32 with CUL1, ROC1, and SKP1 in cardiac tissue from dilated cardiomyopathy patients . When designing such experiments, researchers should consider using expression vectors for FBXO32 carrying a Flag epitope (Flag-FBXO32), Myc-CUL1, and GFP-SKP1 alongside appropriate antibodies against FBXO32, cMyc, CUL1, SKP1, and ROC-1 to provide comprehensive analysis of complex formation dynamics .

What methods can detect alterations in FBXO32 function in pathological conditions?

Investigating FBXO32 dysfunction in disease models requires multilevel analysis approaches. At the functional level, global ubiquitination assays can assess FBXO32's E3 ligase activity by comparing cells expressing wild-type versus mutant FBXO32 . Substrate stabilization assays examining known FBXO32 targets such as CHMP2B and Calcineurin A can provide direct evidence of functional alterations . For structural analyses, in silico modeling techniques like those based on canonical structures (e.g., FBW7) using I-TASSER can predict how mutations might disrupt the F-Box domain architecture and protein-protein interactions . These complementary approaches provide a comprehensive assessment of how pathological conditions affect FBXO32's various molecular functions.

How can researchers validate novel FBXO32 mutations identified in clinical samples?

Validation of novel FBXO32 mutations requires a systematic approach combining genomic, molecular, and functional analyses. Initial confirmation should utilize PCR amplification of the variant-containing exon from the original patient sample, followed by Sanger sequencing . For functional characterization, site-directed mutagenesis techniques using QuikChange II Site-Directed Mutagenesis Kit with overlapping PCR can introduce the specific point mutation into FBXO32 expression vectors . A comprehensive verification protocol would include: (1) sequencing confirmation of the mutagenesis product, (2) expression of the mutant protein in relevant cell types, (3) assessment of SCF complex formation through co-IP, (4) evaluation of E3 ligase activity through ubiquitination assays, and (5) analysis of target protein degradation efficiency compared to wild-type FBXO32 .

How should researchers address inconsistent FBXO32 detection across different tissue samples?

Inconsistent FBXO32 detection often stems from tissue-specific expression levels and sample preparation variations. When encountering this issue, researchers should first optimize protein extraction by grinding tissue in liquid nitrogen followed by sonication in lysis buffer with protease inhibitors . For skeletal muscle and cardiac tissues, where FBXO32 expression is typically robust, consider comparative analysis using both monoclonal and polyclonal antibodies, as they may recognize different epitopes with varying accessibility in different tissues . Additionally, antigen retrieval methods should be tailored to specific tissue types - TE buffer pH 9.0 works optimally for skeletal muscle tissue, while citrate buffer pH 6.0 serves as an alternative . Implementation of loading controls specific to the tissue type rather than general housekeeping proteins can also improve normalization accuracy.

What approaches can resolve contradictory results between different FBXO32 antibodies?

When faced with contradictory results between antibodies, systematic validation is essential. First, compare the immunogens used to generate each antibody - the monoclonal 67172-1-Ig targets a FBXO32 fusion protein (Ag25247) , while the polyclonal A02531 targets recombinant protein corresponding to human Fbx32 1-200aa region . These different epitope targets may explain divergent results, particularly if post-translational modifications or protein-protein interactions block specific epitopes. Perform epitope mapping through western blotting of deletion constructs to identify which protein domains each antibody recognizes. Additionally, validate specificity through siRNA knockdown experiments where consistent results across multiple antibodies increase confidence in target specificity. For definitive resolution, immunoprecipitation followed by mass spectrometry can identify exact binding partners and confirm antibody specificity.

How can researchers optimize FBXO32 antibody protocols for novel experimental systems?

Adapting FBXO32 antibody protocols to novel experimental systems requires systematic optimization. Begin with a titration approach across a wider range than manufacturer recommendations - for western blotting, test dilutions from 1:500 to 1:50000 to determine the optimal signal-to-noise ratio for your specific system . For immunostaining applications, compare multiple antigen retrieval methods side-by-side, as epitope accessibility may vary dramatically between tissue/cell types . When transitioning between species, validate cross-reactivity experimentally despite manufacturer claims, as subtle sequence variations may affect binding efficiency. For novel cell lines or engineered systems, include parallel experiments with known positive controls like mouse skeletal muscle tissue or human heart tissue . Document all optimization steps methodically to establish reproducible protocols for the specific experimental system.

How might new FBXO32 antibodies advance understanding of its role in ubiquitination pathways?

Development of domain-specific FBXO32 antibodies could revolutionize our understanding of this protein's multifunctional roles. Antibodies targeting the F-Box domain specifically would enable direct visualization of SCF complex assembly dynamics through super-resolution microscopy techniques . Similarly, antibodies recognizing FBXO32 only when bound to specific substrates could illuminate the temporal and spatial regulation of target protein degradation. Phospho-specific antibodies detecting post-translational modifications of FBXO32 would advance understanding of how its activity is regulated in different physiological contexts. These next-generation reagents would facilitate investigation of context-dependent FBXO32 functions across diverse biological processes from muscle atrophy to cardiac pathophysiology, potentially revealing novel therapeutic targets.

What emerging technologies might enhance FBXO32 antibody-based research?

Integration of FBXO32 antibodies with emerging technologies promises to expand research capabilities significantly. Proximity labeling techniques like BioID or APEX2 combined with FBXO32 antibodies could map the complete protein interaction landscape in living cells rather than just stable interactions detectable by traditional co-IP . Single-cell proteomics using FBXO32 antibodies may reveal previously unrecognized heterogeneity in expression and function across tissues. CRISPR-based approaches for endogenous tagging of FBXO32 would enable live-cell imaging of dynamics without overexpression artifacts. Additionally, the development of intrabodies (intracellular antibodies) against FBXO32 could allow for targeted inhibition of specific domains without genetic manipulation, providing powerful tools for dissecting function in complex biological systems.

What are the best practices for reporting FBXO32 antibody-based research findings?

Transparent reporting of FBXO32 antibody methods is essential for research reproducibility. Publications should precisely document: (1) Complete antibody information including catalog number, manufacturer, host species, clonality, and lot number ; (2) Detailed experimental protocols including dilutions used, incubation times/temperatures, and buffer compositions; (3) All optimization steps and validation controls performed; (4) Representative images showing both positive and negative results with scale bars; and (5) Quantification methods with appropriate statistical analyses. Following these reporting standards ensures that other researchers can accurately evaluate and replicate findings, advancing collective understanding of FBXO32 biology and pathophysiology through methodologically sound research practices.

What consensus protocols exist for major FBXO32 antibody applications?

Based on extensive literature and product validation data, the following consensus protocols represent optimal starting points for key FBXO32 antibody applications:

For Western Blotting:

  • Extract proteins from tissues by grinding in liquid nitrogen followed by sonication in lysis buffer with protease inhibitors

  • Separate 30μg protein on 4-12% gradient gels for optimal resolution of the 42kDa FBXO32 protein

  • Use monoclonal antibody at 1:10000 dilution for most tissues, increasing to 1:50000 for high-expression samples like skeletal muscle

  • Include positive controls such as mouse skeletal muscle tissue

For Immunoprecipitation:

  • Use 400-700μg total cell lysate with Flag- or Myc-resins coupled with primary antibody

  • Incubate for 2 hours at 4°C in buffer supplemented with protease inhibitors

  • Wash beads thoroughly and elute proteins for downstream analysis

  • Follow with immunoblotting to confirm successful precipitation

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