This antibody has been rigorously tested across multiple methodologies:
| Application | Sample Types |
|---|---|
| Western Blot | HMy2.CIR, C6, HepG2, NIH/3T3, HeLa, and Jurkat cells; mouse heart/liver tissue |
| Immunohistochemistry | Human liver tissue, breast cancer tissue (antigen retrieval: TE buffer pH 9.0) |
| Immunofluorescence | HepG2 and HeLa cells |
| Flow Cytometry | Intracellular staining in HeLa cells |
| Immunoprecipitation | Mouse heart tissue |
FZR1-APC/C controls G1 phase length by targeting cyclin A for degradation, preventing premature S-phase entry . Loss of FZR1 shortens G1 and prolongs S phase, triggering DNA damage responses .
In FZR1 RNAi models, cyclin A accumulates prematurely, activating CDK2 and accelerating DNA replication .
FZR1 loss-of-function variants impair cortical neurogenesis and synaptic function, linked to developmental and epileptic encephalopathies (DEE) .
Drosophila studies using fzr mutants (ortholog of FZR1) revealed defects in photoreceptor patterning and glial migration, modeling human DEE phenotypes .
FZR1 acts as a tumor suppressor by promoting APC/C-dependent ubiquitination and degradation of BRAF kinase, restricting its oncogenic activity .
The antibody’s specificity is confirmed through:
Western Blot: Clear detection of a single 55 kDa band in multiple cell lines .
Functional Rescue: Used in Drosophila studies to validate pathogenicity of human FZR1 variants by rescuing fzr mutant eye phenotypes .
Subcellular Localization: Robust nuclear and cytoplasmic staining in immunofluorescence assays .
The FZR1 antibody has been instrumental in advancing understanding of:
FZR1 (Fizzy-related protein homolog, also known as CDH1, FYR, KIAA1242, or CDC20-like protein 1) functions as a substrate-specific adapter for the anaphase-promoting complex/cyclosome (APC/C) E3 ubiquitin-protein ligase complex . It associates with the APC/C in late mitosis, replacing CDC20, and activates the APC/C during anaphase and telophase. This activation ensures that positive cell cycle regulators do not accumulate prematurely .
FZR1 undergoes phosphorylation at the G1/S transition, leading to its dissociation from the APC/C. Following DNA damage, it contributes to the G2 DNA damage checkpoint through dephosphorylation and reassociation with APC/C, resulting in PLK1 ubiquitination that prevents mitotic entry . FZR1 also targets the DNA-end resection factor RBBP8/CtIP for ubiquitination and proteasomal degradation, suggesting a role in favoring error-prone non-homologous end joining over error-free homologous recombination during DNA repair .
FZR1 antibodies are commonly used in multiple research applications:
Western Blotting (WB): For detecting FZR1 protein expression levels in various tissues and cell lines
Immunohistochemistry on paraffin-embedded sections (IHC-P): For visualizing FZR1 localization in tissue samples
Immunofluorescence (ICC/IF): For examining subcellular localization, showing nuclear expression in cells like HeLa
Proximity Ligation Assay (PLA): For studying protein-protein interactions involving FZR1
These applications enable researchers to investigate FZR1 expression, localization, and interactions in both physiological and pathological contexts.
Commercial FZR1 antibodies display varying species reactivity profiles:
When selecting an FZR1 antibody, researchers should verify the specific reactivity needed for their experimental model system. Cross-reactivity information is typically determined through sequence homology analysis and experimental validation .
FZR1 has emerged as a significant factor in neurodevelopment and neurological disorders. For researchers investigating these connections, FZR1 antibodies provide critical tools for:
Analyzing FZR1 expression patterns in neural tissues and developmental time points
Investigating protein-protein interactions in neuronal cells through co-immunoprecipitation or proximity ligation assays
Examining post-translational modifications that affect FZR1 function in neural contexts
Recent research has identified de novo missense variants in FZR1 associated with developmental and epileptic encephalopathies (DEE), including childhood-onset generalized epilepsy and intellectual disability . Using Drosophila models with mutant alleles of the FZR1 homologue (fzr), researchers demonstrated that patient variants affected proper neurodevelopment, supporting a loss-of-function mechanism .
For such studies, researchers should consider using antibodies that can detect specific phosphorylation states of FZR1, as its phosphorylation status regulates its association with the APC/C complex and subsequent functions in both dividing and post-mitotic neurons.
When investigating FZR1 in cancer contexts, particularly as a potential biomarker for breast cancer neoadjuvant chemotherapy response , researchers should consider:
Sample preparation optimization:
For paraffin-embedded tissues, antigen retrieval methods may significantly affect FZR1 detection
Standardization of fixation protocols is critical for comparative studies
Controls for specificity:
Quantification approaches:
Implement digital image analysis for IHC quantification rather than subjective scoring
Consider multiplexed immunofluorescence to correlate FZR1 expression with other cancer markers
Clinical correlation methods:
Design studies that correlate FZR1 expression levels with treatment response data
Account for tumor heterogeneity by analyzing multiple regions of each sample
Recent research suggests FZR1 may serve as a novel biomarker for predicting response to neoadjuvant chemotherapy in breast cancer, addressing a critical need in personalized treatment approaches .
Investigating FZR1's interactions with APC/C components and substrates requires specialized approaches:
Proximity Ligation Assay (PLA):
Co-immunoprecipitation approaches:
Use lysis buffers that preserve native protein complexes (avoid harsh detergents)
Consider reversible crosslinking to stabilize transient interactions
Validate pull-downs with reciprocal immunoprecipitations
FRET/BRET analysis:
For dynamic, real-time interaction studies in living cells
Requires fusion protein construction with appropriate tags
When investigating FZR1 interactions with ubiquitination targets such as RBBP8/CtIP , researchers should additionally consider proteasome inhibition to stabilize these often transient interactions.
The choice of antibody epitope is critical for experimental success with FZR1:
| Epitope Region | Advantages | Best Applications | Considerations |
|---|---|---|---|
| N-terminal (AA 1-101) | Detects full-length protein | WB, ELISA | May miss splice variants |
| Middle region (AA 141-240) | Less affected by N-terminal modifications | WB, IF, IHC | Check sequence conservation for cross-species work |
| Full-length (AA 1-493/494) | Highest probability of detection | Multiple applications | Potential for higher background |
Researchers should align their epitope selection with:
The specific protein region of interest (e.g., functional domains)
Post-translational modifications that might mask epitopes
Accessibility in folded/native vs. denatured states
Sequence conservation if working across species
For cell cycle studies where FZR1 phosphorylation status is critical, phospho-specific antibodies may be necessary to distinguish between active and inactive forms of the protein .
For successful immunofluorescence detection of FZR1:
Fixation protocol:
Permeabilization considerations:
Mild detergents (0.1-0.2% Triton X-100) are generally sufficient
Brief (5-10 minute) permeabilization to avoid epitope damage
Blocking optimization:
BSA (3-5%) with normal serum matching secondary antibody host
Extended blocking (1-2 hours) may reduce background
Antibody dilution and incubation:
For co-localization studies, counterstaining with markers such as phalloidin (cytoskeleton) can provide valuable context for interpreting FZR1 localization patterns .
When encountering issues with FZR1 antibody performance:
For non-specific binding:
Increase antibody dilution incrementally (e.g., from 1:500 to 1:1000)
Add 0.1-0.2% Tween-20 to washing buffers
Include validation controls using FZR1-depleted samples
Pre-absorb antibody with recombinant FZR1 protein (for polyclonal antibodies)
For weak signals:
Optimize antigen retrieval for fixed tissues (test citrate vs. EDTA buffers)
Extend primary antibody incubation time (overnight at 4°C)
Use signal amplification systems (e.g., tyramide signal amplification)
Check sample preparation to ensure target protein is preserved
For inconsistent results:
Standardize cell/tissue harvesting conditions (FZR1 levels fluctuate with cell cycle)
Control for phosphorylation status using phosphatase inhibitors in lysates
Validate lot-to-lot antibody consistency with standard samples
Remember that FZR1 expression and localization changes during cell cycle progression, so synchronizing cells may be necessary for consistent results in certain experiments.
When faced with contradictory FZR1 expression data:
Consider cell cycle variation:
FZR1 activity and levels are regulated throughout the cell cycle
Unsynchronized populations may show mixed expression patterns
Document cell synchronization methods and cell cycle stage verification
Evaluate antibody specificity:
Different antibodies may recognize distinct FZR1 isoforms or modified forms
Compare results using antibodies targeting different epitopes
Include knockout/knockdown validation controls
Assess experimental context:
FZR1 function differs in neuronal vs. proliferating cells
Disease states may alter expression or localization patterns
Different tissues show varying baseline expression levels
Technical variables:
Compare protocols for sample preparation, especially fixation methods
Standardize quantification approaches across experiments
Document exposure settings for immunofluorescence or blot development
For integrating contradictory findings across models, consider systems biology approaches that place FZR1 within its functional network context rather than examining it in isolation.
To ensure antibody specificity for FZR1:
Genetic approaches:
CRISPR/Cas9 knockout cell lines as negative controls
siRNA knockdown with demonstration of signal reduction
Rescue experiments with exogenous FZR1 expression
Biochemical validation:
Immunoprecipitation followed by mass spectrometry
Peptide competition assays using the immunizing peptide
Multiple antibodies targeting different epitopes should show consistent patterns
Expression system controls:
Overexpression systems with tagged FZR1 constructs
Inducible expression systems to demonstrate signal correlation with expression
Heterologous expression in null backgrounds
Cross-reactivity assessment:
Testing in tissues from multiple species with predicted reactivity
Evaluating signal in tissues known to lack FZR1 expression
Testing related family members to ensure specificity
To distinguish between different forms of FZR1:
Isoform differentiation:
Use antibodies targeting isoform-specific sequences
Combine with RT-PCR to correlate protein detection with transcript expression
Consider 2D gel electrophoresis to separate isoforms by both MW and pI
Phosphorylation analysis:
Phospho-specific antibodies for key regulatory sites
Phosphatase treatment of samples as controls
Lambda phosphatase treatment to confirm phosphorylation-dependent mobility shifts
Ubiquitination detection:
Immunoprecipitation under denaturing conditions
Probing for ubiquitin after FZR1 immunoprecipitation
Proteasome inhibitor treatment to stabilize ubiquitinated forms
Advanced techniques:
Mass spectrometry for comprehensive PTM mapping
Phos-tag gels to separate phosphorylated from non-phosphorylated forms
Targeted mass spectrometry using multiple reaction monitoring
Since FZR1 phosphorylation status significantly affects its activity in the APC/C complex , researchers studying cell cycle regulation should particularly focus on methods that can distinguish active from inactive FZR1 forms.
Recent discoveries have linked FZR1 to neurodevelopmental disorders:
Clinical connections:
Functional studies using antibodies:
Immunohistochemistry to map FZR1 expression in developing neural tissues
Co-localization with neuronal markers to identify affected cell populations
Protein interaction studies to identify neural-specific binding partners
Mechanistic investigations:
Examining how patient variants affect protein stability and localization
Assessing changes in substrate targeting using co-immunoprecipitation
Monitoring post-mitotic functions in neurons specifically
These approaches have helped establish FZR1's role beyond cell cycle regulation, revealing important functions in neurodevelopment that can be disrupted in pathological conditions .
FZR1's emerging role as a biomarker in cancer research, particularly for breast cancer neoadjuvant chemotherapy response , has driven methodological innovations:
Digital pathology integration:
Automated scoring of FZR1 immunohistochemistry
Machine learning algorithms to correlate expression patterns with outcomes
Standardized quantification across multi-center trials
Multiplexed detection approaches:
Sequential immunofluorescence to examine FZR1 alongside other markers
Mass cytometry (CyTOF) for single-cell protein profiling
Spatial transcriptomics combined with protein detection
Liquid biopsy development:
Detection of FZR1 in circulating tumor cells
Correlation with tissue expression patterns
Longitudinal monitoring during treatment
Functional predictive assays:
Ex vivo drug response testing correlated with FZR1 expression
Patient-derived organoids to validate FZR1 as a response predictor
Computational models incorporating FZR1 expression data
These approaches aim to translate FZR1's biological role into clinically actionable information for personalized treatment decisions, particularly in determining which patients will benefit from neoadjuvant chemotherapy .
To delineate FZR1's diverse functions:
Cell synchronization approaches:
Compare FZR1 interactions in synchronized vs. asynchronous populations
Use thymidine block, serum starvation, or cell sorting to isolate specific cell cycle phases
Combine with cell cycle markers (cyclin B, phospho-histone H3) in co-staining experiments
Post-mitotic cell studies:
Examine FZR1 in terminally differentiated neurons or other non-dividing cells
Compare substrate targeting between proliferating and non-proliferating cells
Use inducible degradation systems to remove FZR1 at specific cell cycle stages
Domain-specific mutations:
Generate separation-of-function mutations that affect specific FZR1 activities
Use antibodies to track the localization and interactions of these mutants
Correlate with functional outcomes in different cellular contexts
Computational analysis:
Network analysis to identify context-specific FZR1 interaction partners
Correlation of expression patterns with cell-cycle dependent and independent processes
Pathway enrichment to distinguish between different functional roles
This research direction is particularly important given FZR1's emerging roles beyond classic cell cycle regulation, including neurodevelopment and cancer progression .