Folate Receptor 1 (FOLR1) is a 37–42 kDa glycosylphosphatidylinositol (GPI)-anchored membrane protein critical for folate uptake in cells . Its overexpression in epithelial cancers (e.g., breast, ovarian, gastric) makes it a therapeutic target . FOLR1 antibodies conjugated to fluorescein isothiocyanate (FITC) enable fluorescence-based detection of this receptor, facilitating research in cancer biology, immunotherapy, and diagnostics.
Protocol Example: MCF-7 (breast cancer) and HeLa cells stained with anti-FOLR1 FITC antibodies show distinct fluorescence signals compared to isotype controls .
Clinical Relevance: Quantifies FOLR1 expression in tumor cells to predict therapeutic responses (e.g., to antibody-drug conjugates like MORAb-202) .
Antibody-Drug Conjugates (ADCs): FOLR1-targeted ADCs (e.g., MORAb-202) leverage FITC-labeled antibodies to validate drug delivery mechanisms .
CAR T Cell Therapy: FITC-conjugated antibodies confirm FOLR1 expression in gastric cancer models prior to CAR T cell administration .
MORAb-202 (Anti-FOLR1 ADC):
CAR T Cell Therapy:
FOLR1 (Folate Receptor Alpha) is a glycosylated protein that mediates cellular uptake of folic acid and reduced folates. It represents a significant research target for several reasons:
It is dramatically upregulated in many carcinomas, particularly ovarian cancer, making it valuable as a cancer biomarker
It serves as a selective marker for midbrain dopamine (mesDA) neural progenitors during development
The protein has a calculated molecular weight of 26.5 kDa but migrates as 35-43 kDa under reducing conditions due to glycosylation
It exists in both membrane-bound and secreted forms, with a GPI anchor for membrane attachment
FOLR1 has emerged as a therapeutic target for antibody-based cancer therapies
FITC (Fluorescein isothiocyanate) conjugation provides researchers with specific optical properties that are advantageous for certain applications:
Compatible with the 488 nm spectral line of argon-ion lasers commonly used in flow cytometry
Provides bright green fluorescence for visualization in fluorescence microscopy and flow cytometry applications
The fluorochrome is sensitive to pH, with optimal fluorescence in slightly alkaline conditions
FITC-labeled antibodies require protection from light and minimal freeze-thaw cycles to maintain optimal performance
Human FOLR1 possesses several distinct structural and functional characteristics:
Full protein length of 257 amino acids with a canonical mass of 29.8 kDa (unglycosylated)
Contains multiple glycosylation sites that contribute to its apparent molecular weight of 35-43 kDa on SDS-PAGE
Plays roles in vesicle-mediated transport and post-translational protein modification
Tissue-specific expression observed in kidney, lung, placenta, and thymus
Serves as a documented cancer marker with overexpression in various tumor types
FITC-conjugated FOLR1 antibodies are versatile tools with multiple research applications:
Flow cytometry for cell surface expression analysis and isolation of FOLR1-positive cell populations
Immunocytochemistry (ICC) to visualize FOLR1 expression patterns in cultured cells
Immunofluorescence (IF) for detection of FOLR1 in tissue sections
Fluorescence-activated cell sorting (FACS) to isolate and enrich FOLR1-expressing cells
Cancer biomarker research, particularly in ovarian, breast, and lung cancers
Developmental biology studies, specifically for midbrain dopaminergic neurons identification
Monitoring FOLR1 expression in response to therapeutic interventions
FOLR1 antibodies have proven valuable for isolating midbrain dopamine (mesDA) neural progenitors:
FolR1 is selectively expressed in mesDA progenitors both in vivo and in vitro
In embryonic stem cell (ESC) differentiation models, FOLR1+ cells co-label with mesDA markers including Lmx1a, Dmrt5, and Pitx3
FOLR1 does not co-stain with non-mesDA markers such as Nkx6.1, Islet1, Pax6, or Lim1/2
Flow cytometry sorting of FOLR1+ cells yields populations highly enriched for Pitx3-GFP expressing cells
Post-sorting analysis confirms that >80% of sorted cells express high levels of FOLR1
Seven days post-sorting, FOLR1+ fractions maintain enrichment in Foxa2+Lmx1a+ cells, while FOLR1- fractions rarely contain these markers
FOLR1+ fractions show enrichment in TH+ neurons, while FOLR1- fractions contain more GABAergic, serotonergic neurons, and astrocytes
Several cellular models have been validated for FOLR1 research:
MCF-7 human breast cancer cell line shows consistent FOLR1 expression suitable for flow cytometry validation
HeLa human cervical carcinoma cells express detectable levels of FOLR1 and are used for antibody validation
Ovarian cancer cell lines are particularly valuable given the clinical relevance of FOLR1 in this cancer type
Embryonic stem cell (ESC) differentiation models, especially those with reporter constructs like Lmx1a-GFP and Pitx3-GFP
Anti-FOLR1 CAR-293 cells can be used to evaluate binding activity of FOLR1 antibodies and proteins
Formalin-fixed, paraffin-embedded epithelial ovarian, fallopian tube, or primary peritoneal cancer tissue specimens for clinical studies
For optimal flow cytometry results with FITC-conjugated FOLR1 antibodies:
Cell preparation: Use 2-5 × 10^5 cells per sample in cold buffer containing PBS with 1-5% BSA or serum
Controls: Include appropriate isotype controls (e.g., FITC-conjugated IgG of matching isotype) and unstained samples
Staining: Incubate cells with 1-5 μg/mL of FITC-conjugated FOLR1 antibody for 30-60 minutes at 4°C in the dark
Washing: Wash 2-3 times with buffer to remove unbound antibody
Analysis: Use a flow cytometer with 488 nm laser excitation and detection in the 515-535 nm range
Gating strategy: First gate on viable cells, then analyze FITC signal intensity compared to isotype control
For sorting applications: Use proper controls for setting sorting gates, including cells from control differentiation and unstained mesDA differentiated culture
Post-sort validation: Perform flow cytometry analysis on sorted cells to confirm enrichment of FOLR1+ population
Proper storage and handling are critical for antibody performance:
Storage temperature: Store at -20°C or below for long-term storage of lyophilized antibody
For liquid formulations: Some products recommend 2-8°C storage without freezing
Light protection: Always protect FITC-conjugated antibodies from light exposure
Freeze-thaw cycles: Avoid repeated freeze-thaw cycles by preparing small aliquots before freezing
Reconstitution: For lyophilized antibodies, reconstitute according to the Certificate of Analysis provided by the manufacturer
Buffer considerations: Some formulations contain glycerol (50%) and may be stored at -20°C
Working dilutions: Prepare fresh working dilutions on the day of the experiment
Expiration: Adhere to the expiration date provided by the manufacturer
Several quality control parameters should be assessed:
Antibody purity: Should be >95% as determined by SDS-PAGE and/or SEC-MALS
Binding specificity: Validate using positive control cells known to express FOLR1 (e.g., MCF-7, HeLa)
Negative controls: Include appropriate isotype controls at the same concentration
Signal-to-noise ratio: Evaluate the separation between positive and negative populations
Lot-to-lot consistency: Test new lots against previous lots when possible
FITC-to-protein (F/P) ratio: Optimal labeling without over-conjugation
Functional activity: For example, testing the antibody's ability to bind immobilized Folic acid-BSA conjugate
Species reactivity: Confirm that the antibody recognizes the appropriate species (human, mouse, etc.)
To ensure accurate identification of specific binding:
Always include matched isotype controls (e.g., FITC-conjugated IgG of the same isotype)
Use cell lines known to be negative for FOLR1 expression as biological negative controls
Perform titration experiments to determine the optimal antibody concentration that maximizes specific while minimizing non-specific binding
Evaluate the staining pattern - FOLR1 should show membrane and cytoplasmic localization
Consider blocking experiments with unconjugated anti-FOLR1 antibody or recombinant FOLR1 protein
For FACS applications, include unstained controls and single-color controls for proper compensation
Verify results using alternative detection methods (e.g., unconjugated primary antibody with secondary detection)
Several factors can influence FOLR1 detection and should be considered:
FOLR1 expression level varies between cell types and can be affected by culture conditions
Fixation methods may alter epitope accessibility - optimize fixation protocols for your specific antibody
Cell cycle stage might influence FOLR1 expression levels
In ESC-derived cultures, the developmental stage affects FOLR1 expression patterns (progressive increase in FolR1+ cells from day 8-14)
After cell sorting, FOLR1 staining intensity may decrease over time (weaker at day 7 post-sort compared to day 1)
Buffer composition and pH can affect FITC fluorescence intensity
Antibody concentration must be optimized - too high can increase background, too low may miss low-expressing populations
Spectral overlap with other fluorochromes in multi-color experiments requires proper compensation
Interpreting FOLR1 expression requires consideration of several factors:
Expression patterns are cell type-specific - compare within similar cell types
In developmental contexts, FOLR1 expression is dynamic and stage-dependent (e.g., in mesDA lineage)
Not all cells in a positive population express FOLR1 uniformly - examine the distribution pattern rather than just mean values
Quantify using mean/median fluorescence intensity (MFI) relative to isotype controls
In mesDA progenitor studies, most but not all FOLR1+ cells are Lmx1a-GFP+, while not all Lmx1a-GFP+ cells are FOLR1+
In therapeutic monitoring, both percentage of positive cells and intensity of expression may be relevant
For FOLR1-targeted therapies, establish meaningful clinical cutoffs based on validated scoring methods
Glycosylation has significant implications for FOLR1 detection:
Human FOLR1 has a calculated MW of 26.5 kDa but migrates as 35-43 kDa under reducing conditions due to glycosylation
Glycosylation patterns can differ between cell types and may affect epitope accessibility
Some antibody clones may be sensitive to specific glycoforms of FOLR1
Deglycosylation treatments prior to analysis may alter antibody binding properties
Different detection methods (flow cytometry vs. Western blot) may have varying sensitivities to glycosylation state
When selecting antibodies, consider whether they target glycosylation-dependent or independent epitopes
Quality control by SEC-MALS can verify the glycosylation state of recombinant FOLR1 proteins used as standards
When designing multiplex experiments:
FITC emission overlaps with PE and other green fluorophores - careful compensation is required
Consider using alternative conjugates for FOLR1 (APC , PE , or Alexa Fluor 488 ) depending on your panel design
In reporter systems (e.g., Pitx3-GFP), FITC conjugates may not be optimal due to spectral overlap with GFP
Use appropriate single-color controls for each fluorophore in your panel
Sequential staining may be necessary if using multiple antibodies from the same species
For complex panels, spectral cytometry or imaging cytometry may offer advantages over conventional flow cytometry
Validate each antibody individually before combining in a multiplex panel
Consider the relative expression levels of targets when designing panels to pair brightest fluorophores with lowest expressed antigens
FOLR1 antibodies play crucial roles in therapeutic research:
Target validation: Confirm FOLR1 expression in patient samples using immunohistochemistry with validated antibodies
Patient stratification: FOLR1 antibodies help identify patients suitable for FOLR1-targeted therapies
Development of therapeutic antibodies: Several FOLR1-targeting antibodies are in clinical development, including farletuzumab
Mechanism studies: Understanding antibody-mediated effects like ADCC and CDC in FOLR1-positive tumors
Monitoring therapy: Tracking changes in FOLR1 expression during treatment
Resistance mechanisms: Identifying alterations in FOLR1 expression that may contribute to treatment resistance
CAR-T cell development: FOLR1 antibodies are used in creating chimeric antigen receptors targeting FOLR1+ cancers
Companion diagnostics: FOLR1 antibodies like VENTANA FOLR1 (FOLR1-2.1) RxDx Assay are used to determine eligibility for FOLR1-targeted therapies
Important technical differences to consider when selecting an antibody:
Clonality: Both monoclonal and polyclonal FITC-conjugated FOLR1 antibodies are available
Immunogen: Most are raised against human FOLR1 protein (25-234 AA) , but epitopes may differ
Purification methods: Protein G purification is common for high-quality antibodies
Species reactivity: Most are human-specific, but cross-reactivity varies between products
Validated applications: Some are validated for specific techniques like flow cytometry, ICC, IF, or FACS
Buffer formulations: May contain different preservatives (e.g., 0.03% Proclin 300) , stabilizers, or carrier proteins
Storage recommendations: Some require -20°C storage, while others are stored at 2-8°C
FITC conjugation efficiency may vary between products and affect brightness
| Manufacturer | Product Type | Host | Clonality | Applications | Storage Recommendations | Reactivity |
|---|---|---|---|---|---|---|
| AFG Scientific | Antibody | Rabbit | Polyclonal | ELISA | -20°C or -80°C | Human |
| Assaypro | Antibody | Rabbit | Polyclonal | IF, ICC, IHC, FACS | 2-8°C, Do Not Freeze | Human |
| Abbexa | Antibody | Rabbit | Polyclonal | Optimal dilutions determined by end user | -20°C | Human |
| R&D Systems | Antibody | Mouse | Monoclonal (Clone #548908) | Flow Cytometry | 2-8°C, Do not freeze | Human |
| Acrobiosystems | Recombinant Protein | n/a | n/a | ELISA, Flow Cytometry | -20°C or lower | Human |
*Note: This table represents products mentioned in the search results and is not exhaustive of all available products.
Several promising research directions are emerging:
Single-cell analysis of FOLR1 expression heterogeneity in tumors and during development
Spatial transcriptomics combined with FOLR1 immunofluorescence for comprehensive tissue analysis
Development of improved FOLR1-targeted therapies including antibody-drug conjugates
CRISPR-based studies of FOLR1 function in normal and disease states
Applications in regenerative medicine using FOLR1 as a marker for isolating specific neural progenitors
Multi-omics approaches integrating FOLR1 protein expression with genomic and transcriptomic data
Advanced imaging techniques for in vivo monitoring of FOLR1-expressing cells
Expansion of FOLR1-based diagnostics beyond ovarian cancer to other FOLR1-expressing malignancies
To maximize experimental value:
Combine FOLR1 antibody staining with functional assays to correlate expression with cellular behaviors
Integrate with genetic manipulation (CRISPR, RNAi) to study cause-effect relationships
Pair with high-content imaging for morphological and subcellular localization analysis
Use with patient-derived models to enhance translational relevance
Combine flow cytometry sorting with downstream molecular analyses (RNA-seq, proteomics)
Integrate with metabolic studies given FOLR1's role in folate uptake
Correlate FOLR1 expression with drug sensitivity profiles in precision medicine approaches
Utilize with computational biology for predictive modeling of FOLR1-related pathways