TPX2 Antibody, FITC conjugated is a fluorescently labeled immunoreagent designed to detect the spindle assembly factor TPX2 (Targeting Protein for Xklp2) in biological samples. FITC (Fluorescein Isothiocyanate) is a green-fluorescent dye conjugated to the antibody, enabling visualization of TPX2 protein localization and dynamics via fluorescent microscopy. This antibody is critical for studying mitotic processes, chromosomal segregation, and TPX2’s role in cancer progression.
TPX2 regulates microtubule nucleation and stabilizes the mitotic spindle by activating Aurora A kinase . The FITC-conjugated antibody has been used to:
Visualize TPX2 localization at spindle poles and kinetochores during mitosis .
Monitor TPX2 dynamics in response to mitotic inhibitors (e.g., paclitaxel) .
Analyze genomic instability caused by TPX2 depletion, including multinucleation and polyploidy in hepatocellular carcinoma (HCC) cells .
Pancreatic Cancer: TPX2 knockdown sensitizes cells to paclitaxel, synergizing with taxane-based therapies . FITC-conjugated antibodies aid in quantifying TPX2 levels post-siRNA treatment.
Hepatocellular Carcinoma: TPX2 depletion reduces cell proliferation and invasion, with FITC-labeled antibodies tracking mitotic errors in TPX2-deficient cells .
Drug Sensitivity: TPX2 expression correlates with response to immunotherapy (e.g., anti-PD-L1 agents) and chemotherapy .
Specificity: No cross-reactivity with non-target proteins in control experiments .
Sensitivity: Detects endogenous TPX2 in low-abundance mitotic cells .
High Signal-to-Noise Ratio: Enables precise tracking of TPX2 in live or fixed cells .
Multi-Species Reactivity: Validated across human, mouse, and rat models .
TPX2 is overexpressed in multiple cancers (e.g., pancreatic, liver, lung) and correlates with poor prognosis . The FITC-conjugated antibody supports:
TPX2 is a microtubule-associated protein that plays critical roles in mitotic spindle assembly and function. Research has established TPX2 as a promising biomarker and potential therapeutic target due to its significant upregulation across multiple cancer types. Integrative analyses have confirmed that TPX2 is overexpressed at both mRNA and protein levels in various solid tumors compared to normal tissues . Its role in cellular proliferation, migration, and cell cycle regulation makes it particularly relevant for cancer research. TPX2 has been validated as having potential oncogenic properties, with evidence of gene amplification in several malignancies including pancreatic adenocarcinoma .
TPX2 primarily functions in mitotic spindle assembly and chromosomal segregation. In cancer contexts, TPX2 has been implicated in multiple cellular processes:
Cell proliferation and invasion regulation
Cell cycle progression, particularly mitosis
DNA replication processes
Microtubule nucleation and organization
Functional studies using TPX2 knockdown in lung cancer and other cell lines have demonstrated that TPX2 downregulation significantly reduces cancer cell proliferation and migration capabilities . GeneMANIA analysis, GSEA analysis, and single-cell functional analysis have consistently shown TPX2's involvement in these critical cellular processes.
TPX2 exhibits differential expression across cancer types:
Comprehensive analysis has confirmed TPX2 upregulation across multiple solid tumors, with particularly consistent findings in lung, breast, and pancreatic cancers .
While specific FITC-conjugated TPX2 antibody parameters were not directly addressed in the search results, standard TPX2 antibodies are recommended at dilutions of 1:200-1:800 for immunofluorescence applications . When working with FITC-conjugated antibodies, researchers should:
Start with manufacturer-recommended dilutions and optimize based on signal-to-noise ratio
Protect the FITC conjugate from light during all procedures
Use proper antigen retrieval methods (TE buffer pH 9.0 or citrate buffer pH 6.0)
Include appropriate controls to account for FITC's spectral properties
Consider photobleaching characteristics when designing imaging protocols
Validation has been conducted in multiple cell lines including HepG2 and HeLa cells, providing reference points for optimization .
Rigorous validation approaches should include:
Western blot analysis using positive control lysates (validated in HepG2, K-562, HeLa, and SMMC-7721 cells)
Knockdown validation using TPX2-targeting siRNA to confirm signal reduction
Comparison of staining patterns with published TPX2 localization data
Evaluation across multiple detection methods (IF, IHC, WB) to confirm consistent results
Use of TPX2-null or TPX2-overexpressing systems as negative and positive controls
For FITC-conjugated antibodies specifically, researchers should additionally perform:
Spectral analysis to confirm FITC signal characteristics
Photobleaching assessments to determine stability during imaging procedures
While the search results don't specifically address flow cytometry protocols for FITC-conjugated TPX2 antibodies, researchers should consider these methodological differences:
For flow cytometry:
Cell permeabilization optimization is crucial as TPX2 is primarily intracellular
Titration experiments (starting at 1:100-1:500 dilutions) should be performed to determine optimal antibody concentration
More stringent blocking conditions may be required to minimize background
Proper compensation controls must be included when multiplexing with other fluorophores
For immunofluorescence microscopy:
Dilutions of 1:200-1:800 are recommended based on standard TPX2 antibody protocols
Antigen retrieval with either TE buffer (pH 9.0) or citrate buffer (pH 6.0) is critical for optimal results
Counterstaining of subcellular structures can help confirm expected TPX2 localization
TPX2 expression demonstrates significant associations with multiple immune parameters:
Cancer-associated fibroblasts (CAF): Negative correlations with TPX2 expression observed in breast cancer (BRCA) and thymoma (THYM) across four different computational algorithms
Macrophage populations:
ESTIMATE algorithm results showed negative associations between TPX2 expression and both immune score and stromal score in 16 cancer types (positive association in KIRC and THCA)
These findings suggest TPX2 may influence the immune landscape of tumors, potentially affecting immunotherapy response.
TPX2 expression correlates with several established immunotherapy response predictors:
Tumor Mutational Burden (TMB): Significant positive correlations observed across multiple cancer types
Microsatellite Instability (MSI): Positive associations in several cancer types, particularly in bladder cancer
Neoantigen load: Positive correlations across multiple tumor types
PD-L1 expression: Significant positive correlation with CD274 (PD-L1) expression in bladder cancer
Clinical analysis from the IMvigor 210 cohort (348 patients with metastatic urothelial bladder cancer) revealed that patients with high TPX2 expression showed improved outcomes with anti-PD-L1 therapy (atezolizumab) . This suggests TPX2 might serve as a biomarker for identifying patients likely to benefit from immune checkpoint inhibitors.
Based on published approaches, effective TPX2 knockdown studies should incorporate:
siRNA approach:
Target selection: Multiple siRNA oligonucleotides targeting different regions of TPX2 mRNA
Concentration optimization: Serial dilutions to determine minimal effective concentration
Validation: qRT-PCR and Western blot to confirm knockdown efficiency
Functional assays:
Proliferation: CCK8 assay demonstrated reduced cell proliferation following TPX2 knockdown
Migration: Wound healing assay showed reduced cell migration after TPX2 downregulation
Apoptosis: Cell Death ELISA assay to quantify apoptosis induction
Colony formation: Soft agar assays to assess anchorage-independent growth
Combinatorial treatments:
For comprehensive understanding, experiments should include both short-term (48-72 hour) and longer-term (1-2 week) assessments of phenotypic consequences following TPX2 depletion.
TPX2 has a calculated molecular weight of 86 kDa (based on its 747 amino acid sequence), but is typically observed at approximately 100 kDa in Western blot analyses . This discrepancy should be interpreted considering:
Post-translational modifications: Phosphorylation sites on TPX2 can increase apparent molecular weight
Protein structure: Extended conformations may result in altered migration patterns
Technical factors:
Buffer composition can affect protein migration
Gel percentage selection is critical (8-10% gels are typically optimal for TPX2)
Incomplete denaturation may cause aberrant migration
When troubleshooting unusual band patterns:
Compare results across different cell lines with known TPX2 expression (HepG2, K-562, HeLa, SMMC-7721 cells have been validated)
Confirm specificity using TPX2 knockdown controls
Consider using multiple antibodies targeting different TPX2 epitopes
When correlating TPX2 expression with clinical outcomes, researchers should consider:
When troubleshooting inconsistent FITC-TPX2 antibody staining, consider these methodological factors:
Fixation and permeabilization:
Optimize fixation time (typically 10-15 minutes with 4% paraformaldehyde)
Test different permeabilization reagents (0.1-0.5% Triton X-100 vs. methanol)
Consider cell type-specific differences in membrane permeability
Antigen retrieval:
FITC-specific considerations:
FITC is pH-sensitive; ensure buffers are maintained at correct pH
Protect from light throughout all procedures
Use anti-fade mounting media to prevent photobleaching
Consider photobleaching during imaging optimization
Blocking optimization:
Test different blocking solutions (BSA vs. serum)
Extend blocking time to reduce background
Include detergents (0.1% Tween-20) in wash buffers
Validate with alternative approaches:
Compare patterns with non-conjugated TPX2 antibodies
Confirm specificity through TPX2 knockdown
Compare localization patterns with published data showing expected nuclear and spindle-associated localization during different cell cycle phases
FITC-conjugated TPX2 antibodies offer valuable opportunities for multiplex imaging strategies:
Panel design considerations:
Methodological approaches:
Sequential immunofluorescence with spectral unmixing
Multiplexed immunohistochemistry with tyramide signal amplification
Imaging mass cytometry for highest-dimensional analysis
Analytical frameworks:
This approach could provide insights into how TPX2 expression impacts the spatial organization of tumor immune microenvironments, potentially revealing mechanisms behind the observed correlations with immunotherapy response.
Several potential mechanisms warrant investigation:
Genomic instability pathway:
Immune checkpoint modulation:
Macrophage polarization effects:
Cell death mechanisms:
These hypotheses align with the observation that bladder cancer patients with high TPX2 expression showed improved outcomes with atezolizumab treatment despite TPX2's general association with poor prognosis in conventional treatment contexts .
Based on the correlative evidence, combination strategies hold promise:
Rational for combination:
Experimental approaches:
Sequential therapy: TPX2 inhibition followed by checkpoint blockade
Concurrent inhibition with optimized dosing
Cell-specific targeting using antibody-drug conjugates
Biomarker-guided patient selection:
Multi-parameter assessment including TPX2 expression, TMB, MSI status
Immune infiltrate characterization
PD-L1 expression levels
Preliminary evidence suggests that "patients who did not benefit from classic anticancer therapies might be responsible for the immunotherapy" , supporting investigation of TPX2-related biomarkers for immunotherapy selection.