The antibody is generated against a recombinant fragment of human FEZ1 spanning residues 12–200, a region critical for its interaction with kinesin-1 and viral capsids . While the cited products are validated for human reactivity, related unconjugated FEZ1 antibodies (e.g., Proteintech 12100-1-AP) show cross-reactivity with mouse and rat homologs , suggesting potential broader utility pending further validation.
HRP conjugation enables direct detection of FEZ1 in enzyme-linked immunosorbent assays (ELISAs) without requiring secondary antibodies. This simplifies workflows and reduces nonspecific binding risks . HRP catalyzes chromogenic reactions with substrates like 3,3',5,5'-tetramethylbenzidine (TMB) or 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS), producing measurable signals proportional to FEZ1 concentration .
The antibody is optimized for quantitative ELISAs to measure FEZ1 expression levels in lysates from cell lines (e.g., CHME3 microglia, HEK293A) or primary cells (e.g., normal human dermal fibroblasts) . This application is critical in studies investigating:
FEZ1 knockdown/overexpression effects on viral infection (e.g., HIV-1, HSV-1) .
FEZ1 phosphorylation status (e.g., S58 modification) and its impact on HSPA8 localization .
Interferon-stimulated gene (ISG) induction in FEZ1-depleted cells .
While HRP-conjugated FEZ1 antibodies are restricted to ELISA, unconjugated variants (e.g., Proteintech 12100-1-AP) support broader applications, including Western blot (WB), immunoprecipitation (IP), and immunohistochemistry (IHC) . For example:
WB analyses in FEZ1 knockout studies demonstrated reduced ISG expression (MxA, MxB) in CHME3 microglia .
Co-immunoprecipitation (co-IP) assays revealed FEZ1’s interaction with HSPA8, a chaperone regulating innate immune signaling .
HIV-1 Trafficking: FEZ1 binds HIV-1 capsids via electrostatic interactions, promoting kinesin-1-mediated transport toward the nucleus . HRP-conjugated antibodies helped quantify FEZ1 levels in siRNA-depletion experiments, showing reduced HIV-1 infection efficiency in microglia and fibroblasts .
Interferon Regulation: FEZ1 depletion in STING-deficient cells upregulated ISGs (e.g., MxB, PKR), independent of viral sensing pathways . ELISA data using this antibody correlated FEZ1 expression with ISG induction .
FEZ1 (Fasciculation and elongation protein zeta-1) is a multifunctional kinesin adaptor protein that plays critical roles in neuronal development, axonal transport, and viral infection processes. Its significance stems from multiple functions:
Regulation of axon and dendrite development during neuronal circuit formation
Interaction with the cytoskeleton for trafficking of specific cargoes
Modulation of interferon-stimulated gene (ISG) expression independent of STING pathways
Association with neurodevelopmental disorders including schizophrenia
FEZ1 is highly expressed in the human cerebral cortex between 7.5-17 post-conception weeks (PCW), with expression patterns differing across brain regions. In cortical sections at 8-10 PCW, strong expression appears confined to post-mitotic neurons, while in subcortical regions, it's highly expressed in progenitor zones during early development . For effective research, consider developmental timepoints and regional specificity when designing FEZ1-related experiments.
HRP (horseradish peroxidase) conjugation to FEZ1 antibodies creates a direct detection system that offers several methodological advantages:
Enhanced sensitivity through enzymatic signal amplification
Production of specific results that eliminate false positives in western blotting immunoassays
Compatibility with multiple detection substrates (chemiluminescent, chromogenic, or fluorescent)
Simplified workflow by eliminating secondary antibody incubation steps
For optimal results, store HRP-conjugated FEZ1 antibodies at 4°C and avoid repeated freeze-thaw cycles. When performing western blots, include reducing agents in sample buffers to maintain antibody specificity, but avoid excessive reducing conditions that might affect HRP activity. Employ double affinity purification methods to ensure minimal non-specific binding .
Optimal sample preparation for FEZ1 detection varies based on the specific application and neuronal tissue type:
For Immunohistochemistry:
Fix brain sections using 4% paraformaldehyde for 10-15 minutes
Perform antigen retrieval by boiling in 10mM citrate buffer (pH 6.0) for 10 minutes
Block with 10% normal serum in Tris-buffered saline (TBS, pH 7.6)
Incubate with primary FEZ1 antibody overnight at 4°C
For Western Blotting:
Homogenize tissue in RIPA buffer supplemented with phosphatase and protease inhibitors
Include 1% NP-40 to better solubilize membrane-associated FEZ1
Centrifuge at 14,000g for 15 minutes to obtain clear lysate
Load 20-30μg of protein for optimal detection
The critical step is maintaining phosphorylation states during extraction, particularly of S58, which regulates FEZ1's interaction with binding partners including HSPA8 . For co-immunoprecipitation experiments, milder lysis conditions may better preserve protein-protein interactions.
Detecting changes in FEZ1 phosphorylation, particularly at the key regulatory site S58, requires specialized approaches:
Recommended Protocol:
Use phospho-specific FEZ1 antibodies targeting S58 alongside total FEZ1 antibodies
Implement Phos-tag™ SDS-PAGE to separate phosphorylated from non-phosphorylated FEZ1
Treat samples with lambda phosphatase as a negative control
Use phosphatase inhibitors during lysis to preserve phosphorylation state
Quantification Strategy:
Calculate the ratio of phosphorylated to total FEZ1 to normalize across samples
For time-course experiments, plot the phosphorylation ratio against time to visualize dynamics
S58 phosphorylation is particularly important as it regulates FEZ1's interaction with kinesin-1 heavy chain and controls both binding to and nuclear-cytoplasmic localization of heat shock protein 8 (HSPA8) . When analyzing virus infection models, remember that FEZ1 phosphorylation may be locally regulated on virus particles by MT-associated regulatory kinase 2 .
FEZ1 functions through interactions with multiple proteins including HSPA8, CRMP1, DCC, and RAR. Detecting these interactions requires careful optimization:
Co-immunoprecipitation Protocol:
Lyse cells in buffer containing 150mM NaCl, 50mM Tris pH 7.5, 1% NP-40, 0.5% sodium deoxycholate
Pre-clear lysate with protein A/G beads for 1 hour
Incubate with anti-FEZ1 antibody overnight at 4°C
Add protein A/G beads for 2 hours and wash extensively
Elute and analyze by western blotting for interacting partners
Important Considerations:
For HSPA8 interaction, the enrichment may appear low due to HSPA8's high expression and involvement in multiple processes
For CRMP1 detection, include cytoskeletal stabilizing agents in lysis buffer
For RAR interactions, nuclear extraction protocols may yield better results
Cross-linking prior to lysis can capture transient interactions
For fluorescence-based interaction studies, proximity ligation assays provide higher sensitivity than conventional co-localization. When performing mass spectrometry analysis after cross-linking, consider using multiple cross-linkers with different spacer arm lengths to capture the full range of interactions .
FEZ1 has dual roles in interferon signaling and neuronal development that can be methodologically separated:
For Interferon Signaling Studies:
Use STING knockout cell lines to confirm STING-independent pathways
Monitor ISG expression through qRT-PCR for MxA, MxB, PKR, and ISG56
Analyze DNA-PK nuclear accumulation using subcellular fractionation
Compare siRNA knockdown with CRISPR-Cas9 knockout to assess acute versus chronic effects
For Neuronal Development Studies:
Focus on growth cone morphology and axon extension measurements
Examine FEZ1 colocalization with VAMP2 in developing neurons
Assess response to guidance cues like Netrin-1 and Sema3A
Quantify dendritic complexity using Sholl analysis
Research indicates that FEZ1 deficiency causes growth cone collapse and impairs axonal development similar to CRMP1 loss-of-function mutants . Additionally, FEZ1-deficient neurons show reduced dendritic complexity and fail to respond to Netrin-1 or Sema3A treatment . When designing experiments, consider that FEZ1 forms separate complexes with different signaling pathways, allowing for targeted disruption of specific interactions.
Non-specific binding can significantly impact FEZ1 detection. Implement these methodological approaches:
Optimization Protocol:
Increase blocking stringency with 5% BSA + 5% normal serum derived from the secondary antibody host species
Include 0.1-0.3% Triton X-100 in antibody dilution buffer
Extend washing steps (5x 5 minutes) with TBS-T (0.1% Tween-20)
Pre-adsorb antibody with acetone powder from FEZ1 knockout tissue
Validation Controls:
Include FEZ1 knockout/knockdown samples as negative controls
Use peptide competition assays to confirm specificity
Test multiple antibodies targeting different FEZ1 epitopes
Verify results with orthogonal detection methods
For HRP-conjugated antibodies specifically, include 0.05% hydrogen peroxide in the blocking buffer to inactivate endogenous peroxidases. When working with brain tissue, additional blocking of endogenous biotin may be necessary if using biotinylated detection systems.
Quantifying FEZ1 expression across developmental timepoints requires careful normalization and analysis:
Quantification Methodology:
Use multiple reference genes for RT-qPCR (β-actin, GAPDH, and HPRT)
Implement the 2^-ΔΔCt method with developmental stage-appropriate references
For protein quantification, normalize to total protein rather than single housekeeping proteins
Calculate relative expression across developmental timepoints
Data Visualization:
Plot expression levels against developmental stages
Create heatmaps showing expression across brain regions
Generate correlation matrices between FEZ1 and interacting partners
Research shows that FEZ1 exhibits differential expression patterns across brain regions during development. In cerebral cortex, expression is highest in post-mitotic neurons, while in subcortical regions, it's more prominent in progenitor zones at early stages . When analyzing single-cell RNA-seq data, note that FEZ1 expression is highest in mature glutamatergic neurons and lowest in GABAergic neurons and dividing progenitors .
Detecting FEZ1 in virus infection models requires special considerations:
Protocol Adjustments:
Include additional washing steps to remove viral particles that may cause background
Fix cells at earlier timepoints (2-4 hours post-infection) to capture early FEZ1-virus interactions
Use subcellular fractionation to track FEZ1 redistribution during infection
Consider live-cell imaging with fluorescently tagged FEZ1 to track dynamics
Analysis Considerations:
Account for virus-induced FEZ1 downregulation in control samples
Compare multiple virus types (e.g., HSV-1, VacV) as they affect FEZ1 differently
Monitor both FEZ1 levels and ISG expression simultaneously
Research indicates that FEZ1 levels decrease in control siRNA-treated cells upon HSV-1 infection, suggesting it may be downregulated as part of host response . This phenomenon varies by virus type, as it was not observed with VacV infection. For HIV-1 studies, focus on FEZ1's role in regulating the balance of retrograde versus anterograde motility of viral particles .
Visualizing FEZ1 with its binding partners requires optimized dual labeling techniques:
Sequential Immunofluorescence Protocol:
Perform in situ hybridization for FEZ1 mRNA using tyramide signal amplification with Opal 570
Follow with immunofluorescent staining for protein partners
Include appropriate controls for each step
Use spectral unmixing to eliminate bleed-through
Recommended Binding Partner Combinations:
FEZ1 with CRMP1: Focus on growth cones and developing axons
FEZ1 with HSPA8: Examine nuclear-cytoplasmic distribution
FEZ1 with RAR: Concentrate on perinuclear regions
FEZ1 with DCC and Syntaxin-1: Analyze in contexts of Netrin-1 signaling
Studies show that FEZ1 colocalizes with VAMP2 in developing hippocampal neurons and forms a complex with DCC and Syntaxin-1 . When studying Netrin-1 signaling, remember that FEZ1-deficient neurons fail to respond to Netrin-1 treatment, highlighting its essential role in this pathway .
Genetic manipulation of FEZ1 requires careful experimental design:
siRNA Approach:
Use multiple siRNAs targeting different FEZ1 regions to rule out off-target effects
Implement 20-50nM concentration for optimal knockdown
Assess knockdown efficiency 48-72 hours post-transfection
Include rescue experiments with siRNA-resistant FEZ1 constructs
CRISPR-Cas9 Approach:
Design sgRNAs targeting early exons of FEZ1
Use pooled sgRNAs to increase knockout efficiency
Screen clones by sequencing and western blotting
Consider inducible systems for developmental studies
Phenotypic Analysis:
For neuronal studies: measure axon length, dendritic complexity, and growth cone morphology
For immune response: assess ISG levels (MxA, MxB, PKR, ISG56)
For viral infection: quantify viral protein expression and replication
Research using CRISPR-Cas9-mediated FEZ1 knockout with pooled sgRNAs showed significant increases in ISG expression compared to non-targeting controls . When designing neuronal experiments, note that FEZ1 deficiency causes stronger reduction in dendritic complexity than CRMP1 deficiency, suggesting participation in multiple developmental pathways .
To investigate FEZ1's impact on gene expression:
Experimental Design:
Establish FEZ1 overexpression and knockdown models
Use RT-qPCR arrays focused on relevant pathways (retinoic acid signaling, interferon response)
Validate hits with individual qPCR assays
Perform chromatin immunoprecipitation to identify potential direct interactions
Data Analysis Framework:
Calculate fold changes relative to control samples
Apply appropriate statistical tests (t-test for paired comparisons, ANOVA for multiple conditions)
Generate pathway enrichment maps to visualize affected networks
Validate key findings at protein level
Research using RT-qPCR arrays with 86 genes related to retinoic acid signaling found that hoxb4 was highly induced in the presence of FEZ1 and retinoic acid . This finding connects with literature showing hoxb4's involvement in development and acute myeloid leukemia, similar to FEZ1 . For interferon response genes, monitor expression of MxA, MxB, PKR, and ISG56, which increase following FEZ1 depletion .
This regional and cell-type specific expression pattern suggests that FEZ1 may have distinct functions in different brain areas during development. When designing experiments targeting specific developmental processes, consider these expression patterns to select appropriate timepoints and regions.
| Phenotype | FEZ1 Deficiency | CRMP1 Deficiency | Combined Deficiency | Method of Assessment |
|---|---|---|---|---|
| Growth Cone Collapse | Increased | Increased | Synergistic increase | Morphological analysis |
| Axonal Development | Impaired | Impaired | Severely impaired | Length and branching measurements |
| Dendritic Complexity | Strongly reduced | Moderately reduced | Severely reduced | Sholl analysis |
| Response to Netrin-1 | Abolished | Partially impaired | Severely impaired | Growth cone turning assay |
| Response to Sema3A | Abolished | Impaired | Severely impaired | Growth cone collapse assay |
FEZ1-deficient neurons exhibit abnormal axons and dendrites and are unresponsive to Sema3A-dependent or Netrin-1-dependent regulation of axo-dendritic development . This suggests that FEZ1 serves as a key convergence point where guidance cues and intracellular transport integrate to coordinate neuronal process development during network formation.
| Gene | siRNA FEZ1 (Fold Change) | CRISPR-Cas9 FEZ1 KO (Fold Change) | Cell Type | Method |
|---|---|---|---|---|
| MxA | 2.5-3.0x increase | 3.0-4.0x increase | CHME3 (microglia) | Western blot |
| MxB | 2.0-2.5x increase | 2.5-3.5x increase | CHME3 (microglia) | Western blot |
| PKR | 3.0-3.5x increase | 4.0-5.0x increase | CHME3 (microglia) | Western blot |
| ISG56 | 2.5-3.0x increase | 3.0-4.5x increase | CHME3 (microglia) | Western blot |
| MxA | 2.0-2.5x increase | Not tested | NHDF (fibroblasts) | Western blot |
| ISG56 | 2.0-3.0x increase | Not tested | NHDF (fibroblasts) | Western blot |
FEZ1 depletion induces an antiviral state before infection, as evidenced by increased ISG expression in uninfected cells . This STING-independent induction of IFN and ISG expression involves changes in DNA-PK accumulation in the nucleus, positioning FEZ1 as a regulatory component of the HSPA8/DNA-PK arm of host innate immune response pathways .
Current FEZ1 antibody research faces several methodological challenges:
Limited availability of phospho-specific antibodies for key regulatory sites like S58
Difficulty in distinguishing FEZ1 isoforms with standard antibodies
Variability in antibody performance across different experimental conditions
Challenges in detecting low-abundance FEZ1-protein complexes
To address these limitations, researchers should validate antibodies with appropriate controls, use complementary techniques (mass spectrometry, proximity labeling), and combine genetic approaches with immunodetection. Future antibody development should focus on creating isoform-specific and phospho-specific antibodies with improved sensitivity and specificity.
Promising technologies for future FEZ1 research include:
CRISPR-based tagging of endogenous FEZ1 for live-cell imaging
Single-molecule tracking to visualize FEZ1-mediated transport
Advanced proteomics to identify the complete FEZ1 interactome
Spatial transcriptomics to map FEZ1 expression at cellular resolution
Cryo-electron microscopy to resolve FEZ1 complex structures