FOLR1 Antibody, Biotin conjugated

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Description

Introduction to FOLR1

FOLR1 is anchored to cell membranes via a glycosyl-phosphatidylinositol (GPI) linkage and mediates the uptake of folic acid and reduced folates . Key features include:

  • Gene Aliases: FBP1, Folbp-1, Folr1.

  • Protein Aliases: Folate Binding Protein 1, FR-alpha, MOv18.

  • Expression: Predominantly in epithelial cells, upregulated in carcinomas .

  • Function: Critical for early embryogenesis and linked to cerebral folate transport deficiency .

FOLR1 Antibody, Biotin Conjugated

This antibody is conjugated with biotin to enable detection using streptavidin/avidin-based systems. Key attributes include:

ParameterDetails
ConjugateBiotin, enabling streptavidin-mediated detection .
ApplicationsELISA, Western blot, IHC, FACS, and immunoprecipitation .
SpecificityDetects glycosylated FOLR1 (40 kDa) with minimal cross-reactivity to FOLR2/3/4 .

Host and Clonality

  • Host: Goat, rabbit, or mouse .

  • Clonality: Polyclonal or monoclonal (e.g., FOLR1-2.1 clone) .

Reactivity

SupplierReactivityConjugateApplications
Thermo Fisher Human, mouse, ratBiotinELISA, WB, IHC
R&D Systems HumanBiotinELISA, WB
Aviva Systems Human, mouse, rat, cow, dog, etc.BiotinWB, IHC
ARP American HumanBiotinELISA

Assay Development

  • ELISA: Used in sandwich assays with <0.2% cross-reactivity to FOLR2/3/4 .

  • Western Blot: Detects FOLR1 in lysates (e.g., KB, IGROV-1 cells) .

  • Immunohistochemistry: Validated in tumor tissue analysis (e.g., ovarian adenocarcinoma) .

Therapeutic Targeting

  • Bispecific Antibodies: FOLR1-targeting antibodies, such as BaCa-1, showed cytotoxicity in ovarian cancer cells by engaging FOLR1 and DR5 receptors .

  • Chemically Programmed BiAbs: Enhanced binding avidity to FOLR1-expressing cells, enabling selective T-cell activation .

Neuroscience

  • Dopamine Neuron Isolation: FOLR1+ cells sorted from midbrain cultures enriched mesDA progenitors, facilitating studies on Parkinson’s disease .

Cancer Research

  • Ovarian Cancer: BaCa-1 antibody (targeting FOLR1 and DR5) induced cytotoxicity in OVCAR-3 cells, outperforming non-specific DR5 crosslinking .

  • Therapeutic Avidity: Chemically programmed biAbs with bivalent FOLR1 binding showed enhanced tumor cell selectivity .

Neuroscience

  • Midbrain Dopamine Cells: FOLR1+ sorting isolated progenitors expressing Foxa2 and Lmx1a, critical for mesDA neuron development .

Considerations for Use

  • Storage: -20°C or -80°C; avoid freeze-thaw cycles .

  • Cross-Reactivity: Minimal with FOLR2/3/4 in validated assays .

  • Validation: Confirmed via Western blot and IHC in KB, IGROV-1, and Ishikawa cell lines .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your orders within 1-3 business days of receipt. Delivery times may vary depending on the purchasing method or location. Please consult your local distributor for specific delivery time information.
Synonyms
adult antibody; Adult folate binding protein antibody; Adult folate-binding protein antibody; FBP antibody; Folate Binding Protein antibody; Folate Receptor 1 Adult antibody; Folate receptor 1 antibody; Folate Receptor 1 Precursor antibody; Folate receptor adult antibody; Folate receptor alpha antibody; Folate receptor antibody; FOLR antibody; FOLR1 antibody; FOLR1_HUMAN antibody; FR alpha antibody; FR-alpha antibody; FRalpha antibody; KB cells FBP antibody; MOV18 antibody; Ovarian cancer associated antigen antibody; Ovarian tumor associated antigen antibody; Ovarian tumor associated antigen MOv18 antibody; Ovarian tumor-associated antigen MOv18 antibody
Target Names
Uniprot No.

Target Background

Function
The FOLR1 antibody, biotin conjugated, binds to folate and reduced folic acid derivatives, facilitating the delivery of 5-methyltetrahydrofolate and folate analogs into the interior of cells. It exhibits high affinity for folate and folic acid analogs at neutral pH. Upon receptor endocytosis and exposure to slightly acidic pH, a conformational change occurs, significantly reducing its affinity for folates and enabling their release. FOLR1 is essential for normal embryonic development and cellular proliferation.
Gene References Into Functions
  1. This study highlights a novel approach using a combination of EpCAM and FRalpha as CTC-capture targets to enhance the sensitivity, specificity, and speed of CTC detection in NSCLC. PMID: 29352248
  2. Numerous experimental studies in mice, along with human epidemiological and genetics studies, have suggested that FOLR1 abnormalities are implicated in a subset of human neural tube defects (NTD). However, FOLR1 deficiency alone does not cause NTD. (Review) PMID: 28244241
  3. FOLR1 exhibits high expression in ovarian cancer but is downregulated upon the development of multidrug resistance. It has the potential to serve as a useful biomarker for ovarian cancer and may enhance sensitivity to cisplatin treatment. PMID: 29433550
  4. Silencing mTORC1 or mTORC2 significantly reduces the plasma membrane expression of FR-alpha and RFC transporter isoforms without affecting overall protein expression. PMID: 27562465
  5. High Folate Receptor Alpha Expression is associated with an increased risk of recurrence in Triple-negative Breast Cancer. PMID: 28410844
  6. The expression of folate receptor 1 (FOLR1) was significantly elevated and more prevalent in metastatic lymph node samples from patients with advanced lung cancer. PMID: 29110850
  7. Eight novel variants in SLC19A1 and twelve novel variants in FOLR1, FOLR2, and FOLR3 were identified. Pathogenic variants include c.1265delG in SLC19A1 resulting in a premature stop codon, four large insertion-deletion variants in FOLR3, and a stop-gain variant in FOLR3. PMID: 28948692
  8. In this study, folate receptor alpha (FRa)-targeted nano-liposomes (FLP) were designed to enhance the anti-tumor effect by targeting the delivery of exogenous PEDF gene to cervical cancer cells. These results demonstrate that FLP are promising carriers for PEDF gene and FLP/PEDF could represent a potential novel strategy for gene therapy of cervical cancer. PMID: 27576898
  9. Data indicate that higher folate receptor alpha (FRalpha) expression is predictive of a favorable prognosis in pancreatic ductal adenocarcinoma (PDAC) and FRalpha may be a promising target for treatment. PMID: 28430580
  10. This research demonstrates the significant therapeutic potential of novel 6-substituted pyrrolo[2,3-d]pyrimidine antifolates with dual targeting of PCFT and FRalpha toward Epithelial ovarian cancer that express a range of FRalpha, along with PCFT, as well as cisplatin resistance. PMID: 28138029
  11. Low expression levels of FOLR1 are associated with neuroendocrine lung tumors. PMID: 27064343
  12. Folr1 represents a promising therapeutic target for medulloblastoma. PMID: 28416738
  13. Folr1 is a favorable target for fluorescence-guided surgery, as tumor-specific agent EC17 produced a distinct fluorescent signal in ovarian and breast cancer tissue. PMID: 27014973
  14. The Folate receptor alpha is associated with the progression of cervical cancer and regulates cervical cancer cell growth through phosphorylation of ERK1/2, c-Fos, and c-Jun, which are key components of the ERK signaling pathway. PMID: 28782518
  15. Folate receptor alpha protein was expressed in the majority of lung adenocarcinomas and a minority of lung squamous cell carcinomas. Folate receptor alpha protein expression correlated with histological grade for lung adenocarcinomas, with the greatest difference observed between grade 1 and grade 3. PMID: 26599808
  16. This study demonstrates the efficacy of silencing HuR in lung cancer cells using a folate-conjugated nanoparticle system that targets folate receptor-alpha overexpressing cancer cells. PMID: 27328938
  17. This new protocol provides an effective method through the synthesis and design of novel fluorescent nano-conjugates for FR expression investigation in tumor cells via targeted imaging, exhibiting great potential in drug delivery mechanism study and cancer therapy. PMID: 26606305
  18. Suppression of FOLR1 by RNA interference altered the gene expression profile of taxol-resistant nasopharyngeal carcinoma cells. Apoptosis-related genes and gene alterations in viral carcinogenesis/MAPK pathways may be crucial for taxol resistance reversal. PMID: 26617855
  19. This research confirmed the similarities between epithelial ovarian cancer and fallopian tube, both normal and adenocarcinoma, using FOLR1, FOLR2, CD68, and CD11b markers. PMID: 25971554
  20. This study suggests RNA CAR T cell therapy for the treatment of common epithelial cancers expressing folate receptor-alpha. PMID: 26359629
  21. Folate receptor expression on murine and human adipose tissue macrophages was investigated. PMID: 26149693
  22. Findings suggest the clinical development of IMGN853 as a novel targeted therapy for patients with folate receptor alpha (FRalpha)-expressing tumors. PMID: 25904506
  23. This study suggests that FRalpha overexpression may play a role in the carcinogenesis of endometrioid endometrium carcinoma and carcinoma progression from endometrial hyperplasia. PMID: 26191275
  24. Triple-negative/basal tumors were significantly associated with increased expression of FOLR1 mRNA, compared to ER+ and HER2+ tumors. PMID: 25816016
  25. This research utilized molecular dynamic simulation to analyze the binding process of folic acid to folate receptor alpha. PMID: 25323390
  26. Studies indicate folate receptor (FR) as a prognostic biomarker for ovarian cancer. PMID: 25564455
  27. The overexpression of folate receptor alpha mRNA was associated with the growth of pituitary adenomas. PMID: 26014017
  28. This is the first study to simultaneously evaluate both DNA methylation and protein expression of all three folate transporter genes, FOLR1, PCFT, and RFC1, in colorectal cancer. PMID: 25697897
  29. FRalpha down-regulation might be capable of suppressing cervical cancer cell proliferation and promoting apoptosis. PMID: 25081683
  30. Survival times are improved in non-small-cell lung cancer patients whose tumors exhibit strong membranous folate receptor alpha expression. PMID: 24993594
  31. This study investigated the conditions associated with circulating FOLR1 protein in healthy individuals. PMID: 24810481
  32. This research concluded that quantitation of CTCs through FRalpha ligand-PCR could be a promising method for noninvasive diagnosis of bladder TCC. PMID: 24771263
  33. 74% of ER/PR-negative and 80% of triple-negative breast cancers expressed folate receptor alpha (FRA). FRA expression was significantly associated with a worse disease-free survival. PMID: 24028341
  34. Expression of FOLR1 is elevated in pituitary adenomas of patients older than 50 years. PMID: 23023342
  35. FOLR1 levels were significantly elevated in the serum of ovarian cancer patients compared to both healthy controls and patients with benign gynecological conditions. PMID: 23528302
  36. The FRalpha gene was expressed in all parathyroid cells analyzed, and the FRbeta gene was expressed by most. PMID: 24206618
  37. The crystal structure of human FRalpha in complex with folic acid was determined at 2.8 A resolution. PMID: 23851396
  38. The data presented further support the hypothesis that folate receptor-alpha expression in gynecologic tumors is due to the cell of origin normally expressing this receptor. PMID: 23518909
  39. EpCAM, FR-alpha, and VEGF-A are the most promising molecules for use in targeted intraoperative fluorescence imaging of endometriotic lesions due to their favorable expression patterns and biomarker characteristics. PMID: 23332132
  40. Studies indicate that folate receptor alpha (FOLR1), a folate transporter, is an attractive target for cancer therapy owing to its high affinity for folate, restricted expression in normal tissue, and differential overexpression in malignant tissue. PMID: 23357463
  41. Overexpression of folate receptor alpha was associated with ovarian tumor progression. PMID: 23144806
  42. The folate receptor alpha translocates to the nucleus, where it binds to cis-regulatory elements at promoter regions of Fgfr4 and Hes1, and regulates their expression. PMID: 23243496
  43. A significant percentage of lung cancers, including squamous cell carcinomas in addition to adenocarcinomas, strongly express folate receptor alpha. PMID: 22984810
  44. PCR analysis confirmed the presence of FR-alpha, SMVT, and B ((0, +)) in Y-79 and ARPE-19 cells. PMID: 22304562
  45. High folate receptor alpha is associated with adenocarcinoma in non-small-cell lung carcinoma and EGFR [corrected] mutation. PMID: 22729036
  46. Alpha-FR can be a potential biomarker for predicting chemotherapeutic responses and clinical prognosis. PMID: 22265591
  47. Studies suggest that different clinical severities do not necessarily correlate with the residual function of folate receptor alpha mutants. PMID: 22586289
  48. FR-alpha was expressed in the majority of serous ovarian tumors, although >50% of cases showed only weak expression. PMID: 21647742
  49. FRalpha may play a significant role in the development and progression of NFAs. PMID: 22089756
  50. An ancient double-mutated haplotype 1816delC-1841A in the FOLR1 gene is demonstrated. PMID: 21938430

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Database Links

HGNC: 3791

OMIM: 136430

KEGG: hsa:2348

STRING: 9606.ENSP00000308137

UniGene: Hs.73769

Involvement In Disease
Neurodegeneration due to cerebral folate transport deficiency (NCFTD)
Protein Families
Folate receptor family
Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor. Secreted. Cytoplasmic vesicle. Cytoplasmic vesicle, clathrin-coated vesicle. Endosome. Apical cell membrane. Note=Endocytosed into cytoplasmic vesicles and then recycled to the cell membrane.
Tissue Specificity
Primarily expressed in tissues of epithelial origin. Expression is increased in malignant tissues. Expressed in kidney, lung and cerebellum. Detected in placenta and thymus epithelium.

Q&A

What is FOLR1 and why is it a significant target for biotinylated antibodies in cancer research?

FOLR1 (Folate Receptor 1), also known as Folate Receptor alpha and Folate Binding Protein (FBP), is a 37-42 kDa glycosylphosphatidylinositol (GPI)-anchored membrane protein that mediates the cellular uptake of folic acid and reduced folates . FOLR1 is predominantly expressed on epithelial cells and is dramatically upregulated on many carcinomas, particularly ovarian cancer .

The significance of FOLR1 as a target stems from:

  • Its overexpression in various malignancies, especially ovarian cancer

  • Minimal expression in most normal tissues, offering a potential therapeutic window

  • Its role as a biomarker with correlation to CA125 in ovarian cancer

  • Its function in folate uptake, essential for key metabolic processes including nucleotide synthesis

Research shows that FOLR1 levels are significantly elevated in the serum of ovarian cancer patients compared to both healthy controls (p < 0.0001) and patients with benign gynecological conditions (p < 0.0001) . This differential expression profile makes FOLR1 an attractive target for biotinylated antibodies, which can be used in detection assays, targeted therapies, and imaging applications.

How does the structure and biochemical properties of biotinylated FOLR1 antibodies influence their research applications?

Biotinylated FOLR1 antibodies consist of antibodies specific to FOLR1 that have been conjugated with biotin molecules. Their biochemical properties significantly impact their research utility:

Structural Considerations:

  • Molecular Weight: Biotinylated FOLR1 antibodies typically range from 35-70 kDa depending on the antibody format and degree of biotinylation

  • Glycosylation: N-glycosylation affects migration patterns on SDS-PAGE, with biotinylated FOLR1 often migrating at 60-70 kDa despite calculated MWs of ~53 kDa

  • Tag Configurations: Various tagging strategies exist, including:

    • His-tag and Avitag combinations for purification and biotinylation

    • Fc-tag fusion proteins for detection and increased stability

Functional Properties:

  • Binding Affinity: High-quality biotinylated FOLR1 antibodies demonstrate binding affinity in the picomolar range (e.g., 83.8 pM as determined by SPR)

  • Specificity: Less than 0.2% cross-reactivity with related proteins (FOLR2, FOLR3, FOLR4)

Application-Specific Requirements:

  • For ELISA: Biotinylated antibodies enable sensitive detection with streptavidin-HRP systems

  • For Flow Cytometry: Biotinylated formats allow flexible secondary detection strategies

  • For Imaging: Biotinylation enables multiplexed detection systems

The selection of appropriate biotinylated FOLR1 antibody formats should be guided by the specific application requirements, considering factors such as binding epitope, biotin positioning, and degree of biotinylation.

What are the optimal conditions for using biotinylated FOLR1 antibodies in ELISA assays?

Optimizing ELISA assays with biotinylated FOLR1 antibodies requires careful consideration of several parameters:

Protocol Components and Conditions:

  • Capture Antibody Concentration: For sandwich ELISA, immobilize anti-FOLR1 antibodies at 1 μg/mL (100 μL/well) on high-binding plates

  • Blocking Solution: Use 1% BSA in PBS (250 μL/well) with 60-minute incubation at room temperature

  • Sample Dilution: Typically 5-fold dilution for serum samples in reagent diluent (1% BSA in PBS)

  • Detection Antibody Concentration: Biotinylated anti-FOLR1 detection antibodies perform optimally at 100 ng/mL

  • Incubation Parameters: 2-hour incubation with shaking at room temperature for both sample and detection antibody steps

  • Washing Buffer: 5 mmol/L Tris, 150 mmol/L NaCl, 0.05% Tween® 20, pH 7.8

  • Washing Protocol: Six washes after sample incubation and detection antibody incubation

Optimization Steps:

  • Perform antibody titration experiments to determine optimal concentrations

  • Establish a standard curve using recombinant FOLR1 protein (linear range typically 0.2-5 ng/mL)

  • Include positive and negative controls in each assay

  • Validate assay sensitivity and specificity using samples with known FOLR1 status

Performance Metrics:

  • Sensitivity: Detection limits can reach 0.2 ng/mL for high-quality assays

  • Linear Range: Typically 0.2-5 ng/mL for standard sandwich ELISA formats

  • Cross-reactivity: Minimal (<0.2%) with related proteins (FOLR2, FOLR3, FOLR4)

When analyzing clinical samples, it's advisable to run all samples in triplicate to ensure statistical reliability, as demonstrated in studies measuring FOLR1 levels in serum from ovarian cancer patients .

How can biotinylated FOLR1 antibodies be effectively utilized in flow cytometry applications?

Effective use of biotinylated FOLR1 antibodies in flow cytometry requires specific optimization steps:

Sample Preparation and Staining Protocol:

  • Cell Preparation:

    • Use 2-5×10^5 cells per sample

    • Wash cells in FACS buffer (PBS with 1-2% BSA and 0.1% sodium azide)

    • Block Fc receptors if analyzing immune cells

  • Antibody Staining:

    • Optimal concentration: Typically 1 μg/mL of biotinylated FOLR1 antibody

    • Incubation time: 30-60 minutes on ice or at 4°C

    • Volume: 100 μL staining buffer per sample

  • Secondary Detection:

    • Use streptavidin-PE (or other fluorophores) at manufacturer's recommended dilution

    • Incubate 15-30 minutes at 4°C

    • Wash extensively (3× in FACS buffer)

Controls and Validation:

  • Include isotype controls with matching biotin conjugation

  • Use FOLR1-positive (e.g., OV-90) and FOLR1-negative cell lines (e.g., FOLR1 KO lines)

  • Consider compensation controls if performing multicolor analysis

Data Analysis Guidelines:

  • Gate for viable single cells before analyzing FOLR1 expression

  • Quantify using mean/median fluorescence intensity rather than percent positive when analyzing variable expression

  • Compare to standardized beads for consistent quantification across experiments

Example Protocol (validated in research):
"2e5 of anti-FOLR1 CAR-293 cells were stained with 100 μL of 1 μg/mL of Biotinylated Human FOLR1, His,Avitag and negative control protein respectively, washed and then followed by PE-SA and analyzed with FACS"

This approach has been successfully used to characterize FOLR1 expression on cell lines and to validate binding of FOLR1-targeted CAR-T cells, demonstrating the versatility of biotinylated FOLR1 antibodies in flow cytometric applications .

What methodologies are recommended for conjugating biotin to FOLR1 antibodies while preserving optimal binding activity?

Successful biotin conjugation to FOLR1 antibodies requires balancing sufficient labeling with preservation of binding activity:

Standard Conjugation Methods:

  • NHS-Ester Biotin Conjugation:

    • Protocol: "A-419259 was biotinylated using EZ-Link-Sulfo-NHS-Biotin: 10 mM solution in PBS added to 10 mM EZ-Link-Sulfo-NHS-Biotin in ultrapure water (molar ratio 8:1), incubated at room temperature for 30 min"

    • Advantage: Targets primary amines, relatively simple chemistry

    • Consideration: May modify lysines in binding region

  • Site-Specific Enzymatic Biotinylation:

    • For recombinant antibodies with Avitag™: "This protein carries a polyhistidine tag at the C-terminus, followed by an Avi tag (Avitag™)"

    • Advantage: Precise control of biotin location, preserves binding region

    • Consideration: Requires recombinant expression systems

  • Streptavidin-Bridge Method:

    • Protocol: "MOv18-IgG1 was linked to streptavidin overnight using Lightning-Link Streptavidin Conjugation Kit according to manufacturer's protocol"

    • Advantage: Creates multivalent complexes with enhanced avidity

    • Consideration: Larger complex may affect tissue penetration

Critical Parameters to Control:

ParameterRecommended RangeImpact on Function
Molar Ratio (Biotin:Antibody)3:1 to 8:1Higher ratios may disrupt binding
pH7.2-8.0Critical for NHS-ester chemistry
Reaction Time30-60 minutesLonger times increase conjugation but risk over-modification
TemperatureRoom temperature (20-25°C)Higher temperatures may denature antibody
PurificationDialysis or column purificationEssential to remove unreacted biotin

Validation of Conjugated Products:

  • Assess degree of biotinylation using HABA assay or mass spectrometry

  • Confirm binding activity through ELISA comparing pre- and post-biotinylation

  • Verify specificity using flow cytometry with FOLR1+ and FOLR1- cell lines

  • Determine functional activity in intended application (e.g., detection, targeting)

Successful biotinylation should maintain the antibody's binding specificity while providing sufficient biotin molecules for downstream detection or targeting applications .

How can biotinylated FOLR1 antibodies be utilized in the development of antibody-drug conjugates (ADCs) for targeted cancer therapy?

Biotinylated FOLR1 antibodies offer a versatile platform for ADC development through biotin-streptavidin bridging technologies:

ADC Development Strategy Using Biotinylated FOLR1 Antibodies:

  • Conjugation Approaches:

    • Biotin-Streptavidin Bridge System:
      "MOv18-IgG1 was linked to streptavidin overnight using Lightning-Link Streptavidin Conjugation Kit... A-419259 was biotinylated using EZ-Link-Sulfo-NHS-Biotin... biotinylated A-419259 was added per 1 mg of streptavidin-conjugated MOv18-IgG1, followed by 30 min incubation"

    • Direct Conjugation to FOLR1 Antibodies:
      Using site-specific conjugation to preserve binding properties while attaching cytotoxic payloads

  • Payload Selection Considerations:

    • Small Molecule Inhibitors: Tyrosine kinase inhibitors (like A-419259) show efficacy in FOLR1-overexpressing cancers

    • Cytotoxic Agents: DTX (docetaxel) has demonstrated enhanced anti-tumor effects when targeted to FOLR1

    • Novel Therapeutics: Combining biotinylated FOLR1 antibodies with emerging payloads for synergistic effects

  • In Vitro Validation Methods:

    • Cell Viability Assays: Test on FOLR1-positive cancer lines (e.g., MDA-MB-231, OVCAR-3)

    • Specificity Assessment: Compare cytotoxicity between FOLR1+ and FOLR1- cell lines

    • Internalization Studies: Confirm endocytosis of ADC complexes using fluorescent tracking

  • In Vivo Efficacy Testing:

    • Animal Models: "In vivo studies of DTX-HSA-FA and DTX-HSA-biotin conjugates in BULB/c mice, tumorized by 4T1 cell line, showed the conjugates were more powerful in the reduction in tumor size and increasing the survival rate when compared to free docetaxel"

Critical Factors for Success:

  • Stability of Biotin-Streptavidin Complex: Ensures payload delivery to tumor site

  • Internalization Efficiency: FOLR1 undergoes receptor-mediated endocytosis, crucial for payload delivery

  • Targeting Specificity: Minimize off-target effects through precise FOLR1 targeting

  • Drug-to-Antibody Ratio (DAR): Optimize for maximal efficacy while maintaining favorable pharmacokinetics

This approach capitalizes on the tumor-selective expression of FOLR1 and the versatility of biotin-streptavidin chemistry to create ADCs with enhanced tumor targeting and reduced systemic toxicity .

What role do biotinylated FOLR1 antibodies play in developing CAR-T cell therapies for solid tumors?

Biotinylated FOLR1 antibodies serve multiple critical functions in the development and validation of FOLR1-targeted CAR-T cell therapies:

Key Applications in CAR-T Development:

  • Binding Domain Characterization:

    • Used to validate novel FOLR1-targeting scFvs: "2e5 of anti-FOLR1 CAR-293 cells were stained with 100 μL of 1 μg/mL of Biotinylated Human FOLR1 and negative control protein respectively, washed and then followed by PE-SA and analyzed with FACS"

    • Enables comparison of binding properties between candidate scFvs to select optimal CAR constructs

  • Specificity Assessment:

    • Critical for identifying potential off-target binding: "Selection of binding domains was based on extensive specificity assessment by flow cytometry and imaging, to determine on-/off-target and off-tumor reactivity"

    • Helps distinguish FOLR1 binding from binding to related family members (FOLR2, FOLR3, FOLR4)

  • Functional Screening Systems:

    • Used in high-throughput screening assays: "CAR T cell functionality and specificity were assessed by high-throughput screening and advanced in vitro assays"

    • Enables evaluation of CAR-T activation in response to FOLR1 binding

  • Tissue Cross-reactivity Studies:

    • Facilitates assessment of potential on-target, off-tumor toxicity: "We used anti-FOLR1 scFv-Fc fusion proteins in an automated, high-plex imaging approach to analyze the respective staining profiles... and to assess on-tumor and off-tumor binding on healthy human tissues"

Methodological Workflow for FOLR1 CAR-T Development:

Development StageUse of Biotinylated FOLR1Key Metrics
Binding Domain SelectionFlow cytometry validationBinding affinity, specificity
CAR ConstructionScreening of binding to various formatsCAR expression, antigen recognition
In Vitro ValidationCo-culture with target cellsTarget cell lysis, cytokine release, CAR-T expansion
Safety AssessmentTissue cross-reactivity studiesOff-tumor binding profile

Critical Considerations:

  • The selection of FOLR1-specific CAR constructs requires comprehensive screening against both human and murine FOLR family members to anticipate potential cross-reactivity

  • Validation using multiple FOLR1+ cell lines (OV-90, OVCAR-3, SKOV-3) and FOLR1 knockout lines is essential for confirming specificity

  • Testing under challenging conditions (unfavorable effector:target ratios, repetitive target exposure) helps identify robust CAR constructs

This comprehensive approach using biotinylated FOLR1 antibodies has facilitated the development of FOLR1-targeted CAR-T therapies for ovarian cancer and other FOLR1-overexpressing malignancies .

How can biotinylated FOLR1 antibodies be utilized in developing multiplexed imaging systems for cancer diagnostics?

Biotinylated FOLR1 antibodies offer significant advantages in developing multiplexed imaging systems that can enhance cancer diagnostics and research:

Multiplexed Imaging Applications:

  • Tissue Cross-Reactivity Assessment:

    • "We used anti-FOLR1 scFv-Fc fusion proteins in an automated, high-plex imaging approach to analyze the respective staining profiles relative to a well-characterized anti-FOLR1 monoclonal antibody, LK26"

    • Enables simultaneous evaluation of FOLR1 expression across multiple tissue types

    • Facilitates comparison between healthy tissues and malignant samples on the same platform

  • Multi-Parameter Tumor Characterization:

    • Biotinylated FOLR1 antibodies can be combined with antibodies against other tumor markers

    • Allows correlation of FOLR1 expression with other prognostic or predictive biomarkers

    • Provides comprehensive tumor profiling for personalized treatment approaches

  • Spatial Transcriptomics Integration:

    • Biotinylated antibodies can be incorporated into spatial profiling technologies

    • Enables correlation between protein expression (FOLR1) and gene expression patterns

    • Provides insights into tumor heterogeneity and microenvironment interactions

Methodological Approaches:

  • Mass Cytometry/Imaging Mass Cytometry:

    • Biotinylated FOLR1 antibodies can be detected with metal-tagged streptavidin

    • Allows highly multiplexed detection (30+ markers) without fluorescence overlap issues

    • Provides single-cell resolution in tissue context

Analytical Considerations:

Imaging ParameterTechnical ApproachBenefit
Signal AmplificationTyramide signal amplification with biotinylated antibodiesEnhanced sensitivity for low FOLR1 expression
Colocalization AnalysisDual staining with FOLR1 and other markersCellular context of FOLR1 expression
Quantitative AssessmentDigital image analysis of FOLR1 stainingObjective measurement of expression levels
3D ReconstructionConfocal imaging with biotinylated FOLR1 antibodiesSpatial distribution of FOLR1 in tumor architecture

This approach has been validated in research settings for evaluating FOLR1 expression in ovarian cancer tissues, with potential applications in diagnostics, therapeutic target assessment, and research into FOLR1 biology in cancer .

How do researchers interpret discrepancies between FOLR1 detection in serum versus tissue samples using biotinylated antibodies?

Interpreting discrepancies between serum and tissue FOLR1 measurements requires understanding of FOLR1 biology and methodological considerations:

Biological Factors Causing Discrepancies:

  • Forms of FOLR1 in Different Compartments:

    • Membrane-bound vs. Soluble: "This gene product is a secreted protein that either anchors to membranes via a glycosyl-phosphatidylinositol linkage or exists in a soluble form"

    • Shed vs. Secreted: Membrane FOLR1 can be shed through enzymatic cleavage, while soluble forms may be directly secreted

  • Post-translational Modifications:

    • Differential Glycosylation: "The protein migrates as 60-70 kDa when calibrated against markers under reducing condition due to glycosylation"

    • Proteolytic Processing: Tissue and serum forms may undergo different processing events

  • Expression Regulation:

    • FOLR1 is "dramatically up-regulated on many carcinomas" , but release into circulation may not directly correlate with tissue expression

Methodological Considerations:

  • Epitope Accessibility:

    • Biotinylated antibodies may recognize different epitopes that are variously accessible in tissue versus serum

    • Fixation and processing of tissues may mask epitopes that are accessible in serum

  • Detection System Sensitivity:

    • Serum ELISA detection: "The plates were washed three times with washing buffer, after which the plate was blocked by adding 250 µL of Reagent Diluent (1% BSA in PBS)"

    • Tissue detection methods: May involve different amplification systems affecting sensitivity

  • Assay Validation Parameters:

    • Limit of detection variations between serum and tissue assays

    • Linear range differences: "Immobilized Folic acid-BSA conjugate at 5 μg/mL can bind Biotinylated Human FOLR1 with a linear range of 0.2-5 ng/mL"

Analysis Framework for Resolving Discrepancies:

ObservationPossible ExplanationInvestigation Approach
High tissue/Low serumLimited shedding/secretionMeasure membrane cleavage enzymes; examine secretion pathways
Low tissue/High serumEnhanced shedding or secretionCompare membrane vs. cytoplasmic staining; assess tumor necrosis
No correlationDifferent molecular formsUse multiple antibodies targeting different epitopes
Variable correlation by cancer stageStage-dependent biologyStratified analysis by disease parameters

Example from Research:
"FOLR1 was significantly elevated in the serum of ovarian cancer patients compared to serum of both healthy controls (p < 0.0001) and patients with benign gynecological conditions (p < 0.0001)" , but correlation with tissue expression requires accounting for tumor burden, vascularization, and other biological variables.

Understanding these discrepancies is critical for developing FOLR1 as a biomarker and therapeutic target, as different compartments may provide complementary clinical information .

What statistical approaches are recommended when analyzing FOLR1 expression data from biotinylated antibody-based assays in clinical samples?

Proper statistical analysis of FOLR1 expression data requires rigorous approaches tailored to the specific assay type and clinical context:

Recommended Statistical Methods by Data Type:

  • Serum FOLR1 Analysis:

    • Non-parametric Tests: "The Kruskal-Wallis test was performed for comparison between more than two groups and Mann-Whitney U test with Bonferroni's correction was performed for comparison between two groups"

    • Normality Assessment: "Normal distribution fit was assessed by the Shapiro-Wilk test and inspection of the Q-Q plot"

    • Correlation Analysis: "Spearman's rank correlation coefficient was used to assess the correlations between CA125, FOLR1, and Dkk-3"

  • Tissue Expression Analysis:

    • Semi-quantitative Scoring: Use H-score or Allred scoring for immunohistochemistry

    • Image Analysis: Digital quantification of staining intensity and distribution

    • Spatial Statistics: Analysis of expression patterns across tumor regions

  • Flow Cytometry Data:

    • Population Statistics: Mean/median fluorescence intensity comparisons

    • Subpopulation Analysis: Identification of FOLR1-high vs. FOLR1-low populations

    • Compensation and Normalization: Critical for multi-parameter analysis

Biomarker Performance Assessment:

  • ROC Curve Analysis:

    • "ROC curve analysis was first performed on individual markers, and then in combination, to determine whether a multi-marker panel could lead to improved performance"

    • Calculate AUC with confidence intervals: "FOLR1 surpassed both Dkk-3 and NID2 in its ability to discriminate normal sera from cancer sera and benign sera from cancer sera with an AUC of 0.87 (95% CI [0.82, 0.92]) and 0.85 (95% CI [0.79, 0.90]), respectively"

  • Logistic Regression Models:

    • "Logistic regression was performed to calculate odds ratios (OR) that defines the relation between biomarkers and cases, benign or control subjects"

    • "OR were calculated on log-transformed biomarkers and were represented with their 95% confidence interval (CI) and two-sided P-values"

  • Multiparameter Analysis:

    • "Multi-parametric models were constructed using a logistic regression model on the log-transformed biomarker levels"

    • Evaluate model performance through cross-validation

Sample Size and Power Considerations:

Study TypeMinimum Sample SizeRationale
Pilot Biomarker20-30 per groupInitial assessment of expression differences
Validation Study100+ per group"100 ovarian cancer patients, 100 patients with benign gynecological conditions, and 100 healthy women"
Clinical TrialPower calculation based on expected effect sizeDepends on specific hypothesis and endpoint

Quality Control Measures:

  • Run all samples in triplicate: "All specimens were analyzed in triplicate"

  • Include appropriate controls in each assay run

  • Apply batch correction for multi-batch analyses

  • Report coefficient of variation for assay reproducibility

This statistical framework ensures robust analysis of FOLR1 expression data, facilitating accurate interpretation of results for both research and clinical applications .

How can researchers effectively distinguish between biotin-related artifacts and true FOLR1 expression in experimental systems?

Distinguishing between biotin-related artifacts and genuine FOLR1 detection requires systematic controls and validation approaches:

Common Sources of Biotin-Related Artifacts:

  • Endogenous Biotin Interference:

    • Certain tissues (liver, kidney, brain) contain high levels of endogenous biotin

    • Cell lines may express varying levels of biotin-containing proteins

    • Culture media components may contain biotin (e.g., from serum)

  • Non-specific Binding of Biotinylated Reagents:

    • Hydrophobic interactions with certain tissue components

    • Charge-based interactions with highly basic or acidic proteins

    • Fc receptor binding (if using biotinylated full antibodies)

  • Streptavidin/Avidin System Issues:

    • Background binding of detection reagents to endogenous biotin-containing proteins

    • Aggregation of streptavidin conjugates

    • Biotin mimetics in samples interfering with detection

Methodological Controls and Validation Approaches:

  • Essential Experimental Controls:

    Control TypeImplementationPurpose
    Blocking Endogenous BiotinAvidin/streptavidin pre-treatment of samplesBlocks endogenous biotin
    Isotype ControlBiotinylated non-specific antibody of same isotypeControls for non-specific binding
    Secondary-Only ControlStreptavidin-detection reagent aloneControls for direct streptavidin binding
    FOLR1 Knockout/KnockdownCRISPR/Cas9-mediated FOLR1 KO linesConfirms specificity of detection
    Competitive BindingPre-incubation with excess unlabeled anti-FOLR1Demonstrates specificity
  • Cross-Validation with Alternative Detection Methods:

    • Compare biotinylated antibody results with directly-labeled antibodies

    • Validate protein expression with mRNA analysis (qPCR, RNA-seq)

    • Use multiple antibodies targeting different FOLR1 epitopes

  • Specificity Assessment:

    • "In sandwich ELISAs, less than 0.2% cross-reactivity with recombinant human (rh) FOLR2, rhFOLR3, rhFOLR4 and recombinant mouse FOLR1 is observed"

    • Test against related folate receptor family members

    • Use well-characterized FOLR1-positive and negative cell lines

Advanced Troubleshooting Approaches:

  • Biotin-Free Detection Alternatives:

    • Use digoxigenin or DNP-labeled primary antibodies with corresponding detection systems

    • Employ directly conjugated fluorescent primary antibodies

    • Utilize HRP-conjugated primary antibodies

  • Sample Pre-treatment:

    • For tissues with high endogenous biotin: "Use a manual defrost freezer and avoid repeated freeze-thaw cycles" to preserve sample integrity

    • Consider antigen retrieval methods that minimize biotin exposure

  • Signal Amplification Alternatives:

    • Tyramide signal amplification without biotin components

    • Polymer-based detection systems

    • Proximity ligation assays for enhanced specificity

By implementing these controls and validation strategies, researchers can confidently discriminate between genuine FOLR1 detection and biotin-related artifacts, ensuring reliable experimental results .

What are the most common challenges in Western blot applications using biotinylated FOLR1 antibodies, and how can they be addressed?

Western blotting with biotinylated FOLR1 antibodies presents several technical challenges that require specific troubleshooting approaches:

Challenge 1: Glycosylation-Related Migration Variability

Problem: "The protein migrates as 60-70 kDa when calibrated against Star Ribbon Pre-stained Protein Marker under reducing (R) condition (SDS-PAGE) due to glycosylation" despite a calculated MW of 53.3 kDa.

Solutions:

  • Enzymatic deglycosylation: Treat samples with PNGase F prior to electrophoresis

  • Include positive control: Run purified recombinant FOLR1 alongside samples

  • Document expected migration pattern: Compare with literature reports of FOLR1 migration

Challenge 2: Non-specific Binding and Background

Problem: Streptavidin detection systems can interact with endogenous biotin-containing proteins.

Solutions:

  • Block endogenous biotin: Pre-incubate membranes with unconjugated avidin/streptavidin

  • Optimize blocking: Use 5% BSA in TBST rather than milk (contains biotin)

  • Titrate antibody: Determine optimal concentration, typically "0.1 µg/mL for Western Blot"

  • Increase washing stringency: Additional wash steps with 0.1% Tween-20

Challenge 3: Membrane-Bound vs. Soluble FOLR1 Detection

Problem: FOLR1 exists in both membrane-anchored and soluble forms with different properties.

Solutions:

  • Sample preparation: Use appropriate lysis buffers for GPI-anchored proteins

  • Membrane enrichment: Consider subcellular fractionation for membrane-bound FOLR1

  • Detect both forms: Use antibodies recognizing epitopes preserved in both forms

  • Denaturation conditions: Optimize reducing vs. non-reducing conditions

Challenge 4: Signal Intensity and Sensitivity

Problem: Weak signal when detecting low FOLR1 expression samples.

Solutions:

  • Enhanced chemiluminescence: Use high-sensitivity ECL substrates

  • Signal amplification: Implement biotin tyramide amplification systems

  • Sample concentration: Immunoprecipitate FOLR1 before Western blotting

  • Exposure optimization: Use incremental exposure times to find optimal signal

Optimization Protocol for FOLR1 Western Blotting:

This optimized approach has been successfully used to detect recombinant FOLR1 in Western blot applications with high specificity and sensitivity .

What strategies can improve the reproducibility and reliability of biotinylated FOLR1 antibody-based assays in multi-center clinical studies?

Ensuring reproducibility and reliability of biotinylated FOLR1 antibody-based assays across multiple research centers requires standardized protocols, quality control measures, and coordination strategies:

Standardization of Reagents and Methods:

  • Centralized Reagent Preparation and Distribution:

    • Use single batches of biotinylated FOLR1 antibodies across all sites

    • Provide pre-aliquoted, stability-tested reagents with defined expiration dates

    • Include detailed CoA: "For best performance, we strongly recommend you to follow the reconstitution protocol provided in the CoA"

  • Assay Protocol Harmonization:

    • Develop detailed, step-by-step protocols with timing specifications

    • Create visual workflow diagrams and training videos

    • Specify critical parameters: "Use a manual defrost freezer and avoid repeated freeze-thaw cycles"

  • Equipment Calibration and Standardization:

    • Implement cross-site instrument validation procedures

    • Use standard curve materials on each instrument

    • Establish acceptable performance ranges for equipment

Quality Control Measures:

  • Reference Standards and Controls:

    Control TypePurposeImplementation
    Positive ControlVerify assay functionalityInclude recombinant FOLR1 standards
    Negative ControlConfirm specificityInclude confirmed FOLR1-negative samples
    Inter-assay ControlMonitor run-to-run variationCommon pooled samples across runs
    Inter-site ControlDetect site-specific biasesIdentical reference panels at all sites
  • Proficiency Testing:

    • Distribute blinded test panels to all participating sites

    • Analyze site-to-site variability in results

    • Implement remedial training for underperforming sites

  • Statistical Quality Control:

    • Track Levey-Jennings charts for control samples

    • Implement Westgard rules for run acceptance/rejection

    • Establish acceptance criteria for batch-to-batch variation

Data Management and Analysis:

  • Centralized Data Collection:

    • Standardized electronic data capture forms

    • Automated data validation checks

    • Real-time monitoring of incoming data quality

  • Statistical Considerations:

    • Account for site effects in analysis models

    • Use robust statistical methods: "Spearman's rank correlation coefficient was used to assess the correlations"

    • Implement batch correction algorithms when necessary

  • Metadata Documentation:

    • Record all protocol deviations

    • Document reagent lot numbers and preparation dates

    • Maintain equipment maintenance and calibration records

Practical Implementation Example:
For multi-center FOLR1 serum ELISA studies, successful standardization has been achieved by:

  • Running all samples in triplicate: "All specimens were analyzed in triplicate"

  • Establishing consistent sample handling: Sample dilution (typically 5-fold for serum)

  • Defining consistent analytical approaches: "The Kruskal-Wallis test was performed for comparison between more than two groups and Mann-Whitney U test with Bonferroni's correction was performed for comparison between two groups"

These approaches have enabled reliable biomarker assessment across research centers, facilitating meaningful integration of FOLR1 data into clinical decision-making frameworks .

How should researchers address issues related to the stability and storage of biotinylated FOLR1 antibodies to maintain optimal functionality?

Proper handling, storage, and stability monitoring of biotinylated FOLR1 antibodies is critical for maintaining their functionality across experimental timelines:

Storage Recommendations and Stability Parameters:

  • Optimal Storage Conditions:

    • Lyophilized Product: "For long term storage, the product should be stored at lyophilized state at -20°C or lower"

    • Reconstituted Product: Store at specified temperatures with appropriate stabilizers:

      • Short-term (1 month): "2 to 8°C under sterile conditions after reconstitution"

      • Long-term (6 months): "-20 to -70°C under sterile conditions after reconstitution"

  • Critical Storage Precautions:

    • Avoid Freeze-Thaw Cycles: "Please avoid repeated freeze-thaw cycles"

    • Use Manual Defrost Freezers: Prevents temperature fluctuations that accelerate degradation

    • Aliquoting Strategy: Prepare single-use aliquots to prevent repeated freezing and thawing

  • Buffer Compositions for Stability:

    • Lyophilization Buffer: "Lyophilized from 0.22 μm filtered solution in PBS, pH7.4 with trehalose as protectant"

    • Reconstitution Buffer: PBS or manufacturer-recommended buffer to maintain activity

    • Storage Buffer Additives: Consider adding protein stabilizers (BSA, glycerol) for reconstituted antibodies

Stability Monitoring and Quality Control:

  • Functional Assessment Methods:

    Test TypeMethodFrequency
    Binding ActivityELISA against recombinant FOLR1Before each experimental series
    Specificity VerificationCross-reactivity against related proteinsQuarterly for long-term studies
    Biotin AvailabilityStreptavidin binding assayAfter extended storage periods
    Protein IntegritySDS-PAGE and Western blotIf activity loss is suspected
  • Degradation Indicators:

    • Decreased binding in functional assays

    • Appearance of additional bands in SDS-PAGE

    • Visible precipitation or cloudiness in solution

    • Reduced signal-to-noise ratio in applications

  • Documentation and Tracking:

    • Maintain detailed inventory with preparation dates, lot numbers, and handling history

    • Record performance metrics over time to detect gradual activity loss

    • Implement expiration dates based on stability testing

Reconstitution and Handling Best Practices:

  • Working Solution Preparation:

    • Prepare fresh working dilutions on day of use

    • Use high-quality, low-binding tubes to prevent protein loss

    • Include carrier protein (0.1-0.5% BSA) in dilute working solutions

    • Keep on ice during experimental procedures

  • Transport and Shipping Considerations:

    • Use temperature-controlled shipping containers

    • Include temperature monitoring devices

    • Validate shipping conditions maintain protein activity

These comprehensive stability and storage practices ensure that biotinylated FOLR1 antibodies maintain optimal functionality throughout their intended use period, contributing to reliable and reproducible experimental results .

How are biotinylated FOLR1 antibodies being integrated with advanced imaging technologies for precise tumor localization?

Biotinylated FOLR1 antibodies are being increasingly integrated with cutting-edge imaging technologies to enable precise tumor localization, with several innovative approaches emerging:

Integration with Advanced Molecular Imaging Modalities:

  • Multiplexed Tissue Imaging:

    • High-plex Imaging Systems: "We used anti-FOLR1 scFv-Fc fusion proteins in an automated, high-plex imaging approach to analyze the respective staining profiles relative to a well-characterized anti-FOLR1 monoclonal antibody"

    • Cyclic Immunofluorescence (CycIF): Sequential staining/imaging cycles with biotinylated FOLR1 antibodies and other markers

    • CODEX Technology: DNA-barcoded streptavidin for highly multiplexed imaging of biotinylated antibodies

  • Intraoperative Imaging Applications:

    • Near-infrared fluorescence guided surgery using biotinylated FOLR1 antibodies coupled to NIR fluorophores via streptavidin

    • Real-time visualization of FOLR1-expressing tumor margins

    • Fluorescence-guided sampling for pathological assessment

  • Molecular-Functional Imaging Integration:

    • PET/SPECT imaging with biotinylated FOLR1 antibodies linked to radioisotopes

    • Correlation of FOLR1 expression with functional imaging parameters

    • Multimodal image registration for comprehensive tumor characterization

Technical Advances Enabling Enhanced Resolution:

  • Super-Resolution Microscopy:

    • STORM/PALM techniques using photoswitchable fluorophores conjugated to streptavidin

    • Structured illumination microscopy for 2× conventional resolution improvement

    • Enhanced visualization of FOLR1 distribution patterns at subcellular level

  • 3D Tissue Imaging Technologies:

    • Light sheet microscopy of cleared tissue samples labeled with biotinylated FOLR1 antibodies

    • 3D reconstruction of tumor microenvironment with FOLR1 contextualization

    • Volumetric assessment of FOLR1 expression heterogeneity

  • AI-Enhanced Image Analysis:

    • Machine learning algorithms for automated FOLR1-positive cell detection

    • Deep learning approaches for pattern recognition in FOLR1 distribution

    • Predictive modeling of FOLR1-targeted therapy response based on spatial patterns

Clinical Translation Approaches:

Imaging ApplicationTechnical ImplementationClinical Benefit
Pre-surgical PlanningPET imaging with biotinylated FOLR1 antibodies linked to radioisotopesPatient selection for FOLR1-targeted therapies
Intraoperative GuidanceFluorescence imaging with biotinylated FOLR1 antibodiesImproved surgical resection of FOLR1+ tumors
Treatment MonitoringSequential imaging to assess therapy responseEarly detection of treatment resistance
Minimal Residual DiseaseUltra-sensitive detection of sparse FOLR1+ cellsEarly recurrence detection

Validation Approaches:

  • Correlation with conventional IHC: "Anti-FOLR1 scFv-Fc fusion proteins in an automated, high-plex imaging approach to analyze the respective staining profiles relative to a well-characterized anti-FOLR1 monoclonal antibody, LK26"

  • Multimodal validation: Cross-verification of findings between different imaging technologies

  • Biological validation: Correlation with FOLR1 mRNA expression and functional outcomes

These integrated approaches leveraging biotinylated FOLR1 antibodies with advanced imaging technologies promise to enhance the precision of tumor localization, improving both research insights and clinical applications in FOLR1-expressing malignancies .

What novel therapeutic modalities beyond ADCs and CAR-T cells are being developed using biotinylated FOLR1 antibodies?

Biotinylated FOLR1 antibodies are enabling the development of several innovative therapeutic modalities beyond conventional ADCs and CAR-T approaches:

Emerging Therapeutic Platforms Utilizing Biotinylated FOLR1 Antibodies:

  • Bispecific Antibody Constructs:

    • FOLR1 × Immune Cell Bispecifics: "FRα BsAb-ADC... Bispecific antibody... Oncology/Cancer... Ovarian cancer"

    • Streptavidin-Based Assembly: Using biotinylated FOLR1 antibodies with biotinylated immune-engaging antibodies

    • Modular Design: Allows combination of FOLR1 targeting with various effector functions

  • Immune-Stimulating Antibody Conjugates (ISACs):

    • Linking biotinylated FOLR1 antibodies to immune stimulants (TLR agonists, STING agonists)

    • Creating localized immune activation in FOLR1-expressing tumor microenvironments

    • Reducing systemic immune toxicity through targeted delivery

  • IgE-Based Immunotherapy Approaches:

    • IgE Antibody Platform: "Safety and anti-tumour activity of the IgE antibody MOv18 in patients with advanced solid tumours expressing folate receptor-alpha"

    • Enhanced Biotin Conjugation: Using biotinylated FOLR1-IgE antibodies for improved tissue penetration

    • FcεRI-Mediated Activation: Leveraging tissue-resident mast cells and basophils for anti-tumor activity

  • Nanoparticle-Based Delivery Systems:

    • Albumin Nanoparticles: "Biotin/Folate-decorated Human Serum Albumin Nanoparticles... In one method, FA or biotin molecules were attached to remaining NH~2~ residues of HSA in DTX-HSA conjugate by covalent bonds"

    • Lipid Nanoparticles: Decorated with biotinylated FOLR1 antibodies for targeted delivery

    • Multifunctional Platforms: Combining imaging agents and therapeutics in single nanostructures

Innovative Combination Approaches:

  • Immune Checkpoint Inhibitor Combinations:

    • Co-targeting FOLR1 and immune checkpoints through biotinylated antibody pairs

    • Localized delivery of checkpoint inhibitors to FOLR1-expressing tumor microenvironments

    • Reducing immune-related adverse events through targeted delivery

  • Radiotherapy Enhancement:

    • Radiosensitizer Delivery: Using biotinylated FOLR1 antibodies to deliver radiosensitizing agents

    • Radioimmunotherapy: Coupling biotinylated FOLR1 antibodies with therapeutic radioisotopes

    • Spatiotemporal Control: Precision targeting of radiotherapy effects to FOLR1+ regions

  • Gene Therapy and RNA Therapeutics:

    • Targeted siRNA Delivery: Nanoparticles decorated with biotinylated FOLR1 antibodies

    • mRNA Therapeutics: FOLR1-targeted lipid nanoparticles for cancer vaccines or protein replacement

    • CRISPR Delivery: Targeted genome editing in FOLR1-expressing cells

Preclinical Development Examples:

Therapeutic ApproachMechanismDevelopment Stage
FOLR1-IgE ImmunotherapyActivation of tissue-resident FcεRI-expressing cellsClinical trials
Biotin-Decorated HSA NanoparticlesEnhanced delivery of docetaxel to tumorsIn vivo validation: "more powerful in the reduction in tumor size and increasing the survival rate when compared to free docetaxel"
FOLR1 BsAb-ADCCombined targeting and cytotoxic payload deliveryPreclinical: "FRα BsAb-ADC... Preclinical"

Targeting Strategy Refinements:

  • Multi-epitope targeting: Using biotinylated antibodies against different FOLR1 epitopes simultaneously

  • Conditional activation: Designing therapeutics that activate only under tumor-specific conditions

  • Tumor microenvironment modulation: Combining FOLR1 targeting with stroma-modifying agents

These diverse approaches represent the expanding therapeutic landscape beyond conventional ADCs and CAR-T cells, leveraging biotinylated FOLR1 antibodies to create more effective and precise treatment modalities for FOLR1-expressing malignancies .

What are the emerging roles of biotinylated FOLR1 antibodies in developing liquid biopsy approaches for early cancer detection?

Biotinylated FOLR1 antibodies are playing increasingly important roles in developing liquid biopsy approaches for early cancer detection, particularly for ovarian and other FOLR1-expressing cancers:

Innovative Liquid Biopsy Applications:

  • Circulating FOLR1 Protein Detection:

    • Serum Biomarker: "FOLR1 is a new biomarker for ovarian cancer which correlates closely with CA125"

    • Enhanced Sensitivity: Using biotinylated antibodies in sandwich ELISA formats with signal amplification

    • Diagnostic Value: "FOLR1 surpassed both Dkk-3 and NID2 in its ability to discriminate normal sera from cancer sera and benign sera from cancer sera with an AUC of 0.87 (95% CI [0.82, 0.92]) and 0.85 (95% CI [0.79, 0.90]), respectively"

  • Circulating Tumor Cell (CTC) Enrichment and Characterization:

    • Microfluidic capture of CTCs using biotinylated FOLR1 antibodies

    • Multiparameter CTC analysis combining FOLR1 with other cancer markers

    • Single-cell molecular profiling of captured FOLR1-positive CTCs

  • Extracellular Vesicle (EV) Analysis:

    • Capture of tumor-derived EVs using biotinylated FOLR1 antibodies

    • Proteomic and transcriptomic profiling of FOLR1-positive EVs

    • Analysis of FOLR1 and cargo molecules as markers of tumor state

Technical Advances Enabling Enhanced Sensitivity:

  • Signal Amplification Strategies:

    • Digital ELISA platforms for single-molecule detection of FOLR1

    • Electrochemical detection methods with biotinylated FOLR1 antibodies

    • Nanomaterial-enhanced detection systems (quantum dots, plasmonic particles)

  • Multiplexed Detection Platforms:

    • Simultaneous measurement of FOLR1 with other cancer biomarkers

    • Integration with CA125: "FOLR1 was strongly correlated with CA125 as both were elevated in the serous histotype and in late-stage disease"

    • Custom antibody arrays incorporating biotinylated FOLR1 antibodies

  • AI-Enhanced Data Analysis:

    • Machine learning algorithms for pattern recognition in multimarker data

    • Longitudinal tracking of FOLR1 levels for early detection of changes

    • Integration of FOLR1 data with other clinical and molecular parameters

Clinical Application Development:

ApplicationTechnical ApproachClinical Utility
Early DetectionUltrasensitive FOLR1 assays in serum"FOLR1 was significantly elevated in the serum of ovarian cancer patients compared to serum of both healthy controls (p < 0.0001) and patients with benign gynecological conditions (p < 0.0001)"
Therapy SelectionFOLR1 quantification for targeted therapy eligibilityPatient stratification for FOLR1-targeted therapies
Treatment MonitoringSerial measurement of FOLR1 levels during therapyEarly detection of response or resistance
Minimal Residual DiseaseHighly sensitive FOLR1 detection post-treatmentIdentification of patients at risk for recurrence

Validation and Standardization Approaches:

  • Analytical Validation:

    • Establishing analytical sensitivity and specificity: "In sandwich ELISAs, less than 0.2% cross-reactivity with recombinant human (rh) FOLR2, rhFOLR3, rhFOLR4 and recombinant mouse FOLR1 is observed"

    • Determining reproducibility across sites and platforms

    • Defining standardized protocols for sample collection and processing

  • Clinical Validation:

    • Large-scale studies correlating FOLR1 levels with clinical outcomes

    • Longitudinal studies in high-risk populations

    • Integration with existing screening paradigms

  • Biological Verification:

    • Understanding the biology of circulating FOLR1: "This gene product is a secreted protein that either anchors to membranes via a glycosyl-phosphatidylinositol linkage or exists in a soluble form"

    • Characterizing the relationship between tissue FOLR1 expression and circulating levels

    • Investigating mechanisms of FOLR1 release into circulation

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