PRPS2 is a nucleotide synthesis enzyme critical for purine metabolism. Studies highlight its involvement in cancer progression:
Prostate Cancer (PCa): PRPS2 knockdown suppresses cell proliferation by inducing G1 arrest and caspase-dependent apoptosis . High PRPS2 expression correlates with aggressive PCa phenotypes .
Acute Lymphoblastic Leukemia (ALL): PRPS2 mutations (e.g., P173R) drive relapse by altering purine metabolism and conferring resistance to thiopurine therapy . Mutants disrupt PRPS1/2 hexamer stability, reducing nucleotide feedback inhibition .
MYC-Driven Cancers: PRPS2 supports nucleotide biosynthesis in MYC-transformed cells, ensuring coordination between protein and nucleic acid synthesis .
Mechanistic Studies: FITC-conjugated antibodies enable localization studies, revealing PRPS2’s cytoplasmic expression in cancer cells .
Drug Resistance: PRPS2 knockout sensitizes ALL cells to 6-mercaptopurine (6-MP), highlighting its role in therapy resistance .
Buffer Compatibility: Ensure compatibility with PBS-based storage buffers to avoid fluorescence quenching .
Light Sensitivity: FITC conjugates require light-protected storage to prevent photobleaching .
Cross-Validation: Pair with unconjugated PRPS2 antibodies for blocking experiments to confirm specificity .
Species Restrictions: Some antibodies (e.g., ABIN7168162) lack reactivity beyond humans .
Application Range: ARP41447_P050-FITC is validated only for WB, necessitating protocol optimization for other techniques .
PRPS2 is a biomarker and therapeutic target in cancers:
PRPS2 (phosphoribosyl pyrophosphate synthetase 2) is an enzyme that plays crucial roles in nucleotide synthesis pathways and has been identified as an oncogene in several cancer types, including lung cancer. Recent research has revealed PRPS2's significant involvement in modulating the tumor microenvironment through regulation of immune cell recruitment and function. Specifically, PRPS2 has been shown to regulate the chemotaxis of tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs) in tumor cells . This regulatory function makes PRPS2 an important target for cancer research, particularly in understanding tumor-immune interactions and developing potential therapeutic strategies.
FITC-conjugated PRPS2 antibodies typically consist of anti-PRPS2 antibodies chemically linked to fluorescein isothiocyanate, creating a fluorescent probe that emits green light when excited at appropriate wavelengths. The commercially available FITC-conjugated PRPS2 antibodies often target specific amino acid sequences within the PRPS2 protein. For example, one commercially available antibody (ABIN7168162) targets amino acids 11-106 of the human PRPS2 protein . These antibodies are typically developed in rabbit hosts as polyclonal antibodies and purified using Protein G affinity purification to achieve >95% purity . The fluorescent conjugation enables visualization of PRPS2 expression and localization in various experimental settings without requiring secondary antibody staining steps.
FITC-conjugated PRPS2 antibodies are suitable for multiple fluorescence-based applications in research settings:
Flow cytometry: For quantitative assessment of PRPS2 expression in cell populations
Immunofluorescence (IF): For visualizing cellular localization of PRPS2
Immunocytochemistry (ICC): For detection in cultured cells
Fluorescence microscopy: For qualitative assessment of protein expression patterns
These applications are particularly valuable for studying PRPS2 in the context of tumor microenvironment research, where visualization of PRPS2-expressing cells in relation to immune cell populations can provide important insights into tumor-immune interactions .
For rigorous flow cytometry experiments using FITC-conjugated PRPS2 antibodies, researchers should include:
Isotype control: A FITC-conjugated IgG from the same host species (e.g., rabbit IgG-FITC) at the same concentration as the PRPS2 antibody to assess non-specific binding.
Negative cell controls: Cell lines known not to express PRPS2 or cells where PRPS2 has been knocked down using siRNA/shRNA approaches, similar to the LLC-shPRPS2 cells described in the literature .
Positive cell controls: Cell lines with confirmed PRPS2 expression, such as PRPS2-overexpressing cell lines (e.g., LLC-PRPS2 cells mentioned in the research) .
Unstained controls: Cells with no antibody to establish autofluorescence baseline.
Fluorescence minus one (FMO) controls: In multicolor panels, include all fluorochromes except FITC to properly set gates.
Dead cell discrimination: Include a viability dye compatible with FITC to exclude non-specific binding to dead cells.
When analyzing results, the median fluorescence intensity (MFI) should be compared between experimental samples and controls to accurately quantify PRPS2 expression levels.
To optimize immunofluorescence protocols using FITC-conjugated PRPS2 antibodies:
Fixation optimization:
Test multiple fixatives (4% paraformaldehyde, methanol, acetone)
Determine optimal fixation duration (10-30 minutes)
For PRPS2, paraformaldehyde fixation is often suitable for preserving protein epitopes
Permeabilization considerations:
Test detergents of varying strengths (0.1-0.5% Triton X-100, 0.01-0.1% saponin)
For intracellular PRPS2 detection, gentle permeabilization with 0.1% Triton X-100 is typically effective
Blocking optimization:
Use serum from the same species as the secondary antibody (if any)
Include 1-5% BSA to reduce non-specific binding
Consider adding 0.1-0.3% glycine to quench free aldehyde groups after fixation
Antibody titration:
Test antibody at multiple concentrations (1:50 to 1:1000)
Incubate at 4°C overnight or room temperature for 1-2 hours
Signal preservation:
Mount with anti-fade media containing DAPI for nuclear counterstain
Protect from light and store at 4°C
Image promptly as FITC signal may deteriorate over time
Confocal microscopy settings:
Excitation wavelength: ~495 nm
Emission collection: ~520 nm
Adjust gain and offset to prevent saturation while maximizing signal-to-noise ratio
These optimizations ensure specific detection of PRPS2 while minimizing background fluorescence and preserving the FITC signal.
FITC-conjugated PRPS2 antibodies can be instrumental in studying PRPS2's role in tumor immunology through several advanced applications:
Flow cytometric analysis of tumor infiltrating immune cells:
Combine FITC-conjugated PRPS2 antibodies with antibodies against immune cell markers (CD4, CD8, F4/80, etc.)
Analyze correlations between PRPS2 expression and immune infiltration patterns
Research has shown that PRPS2 expression levels correlate with changes in CD4+ T cells, CD8+ T cells, tumor-associated macrophages (TAMs), and myeloid-derived suppressor cells (MDSCs)
Multicolor immunofluorescence tissue imaging:
Create multiplex panels with PRPS2-FITC and antibodies against CCL2 and immune cell markers
Study spatial relationships between PRPS2-expressing cells and immune cells
Analyze changes in the tumor microenvironment following PRPS2 modulation
In vivo tracking experiments:
Use adoptive transfer of PRPS2-FITC labeled cells to track their fate
Monitor interaction with immune cells in the tumor microenvironment
Correlate with tumor progression or regression
Ex vivo chemotaxis assays:
Co-culture systems:
Establish co-cultures of PRPS2-labeled tumor cells with immune cells
Analyze immune activation/suppression in response to varying PRPS2 levels
Monitor changes in CCL2 expression and subsequent immune cell behavior
These methodologies can help elucidate the mechanisms by which PRPS2 modulates the antitumor immune response, particularly through CCL2-mediated recruitment of immunosuppressive cells.
Recent research has identified a significant relationship between PRPS2 and CCL2 in modulating immune responses in the tumor microenvironment . To investigate this relationship using FITC-conjugated PRPS2 antibodies, researchers can employ these methodological approaches:
Dual immunofluorescence staining:
Use FITC-conjugated PRPS2 antibodies alongside differently conjugated CCL2 antibodies (e.g., PE-conjugated)
Quantify co-localization using confocal microscopy and Pearson's correlation coefficient analysis
Assess whether cells with high PRPS2 expression consistently show elevated CCL2 levels
Flow cytometry-based correlation analysis:
Perform intracellular staining for both PRPS2 (FITC) and CCL2 (different fluorophore)
Generate correlation plots between PRPS2 and CCL2 expression levels
Sort cells based on PRPS2 expression and validate CCL2 expression by qPCR or ELISA
PRPS2 manipulation followed by CCL2 quantification:
Create PRPS2 knockdown or overexpression cell lines using methods similar to the LLC-shPRPS2 and LLC-PRPS2 models
Use FITC-conjugated PRPS2 antibodies to confirm manipulation success
Quantify CCL2 at mRNA and protein levels using qPCR and ELISA, respectively
Research has shown that PRPS2 knockdown significantly reduces CCL2 levels while PRPS2 overexpression increases CCL2 production
Chemotaxis assays with PRPS2-modulated cells:
Label TAMs or MDSCs with cell trackers
Use transwell systems with PRPS2-manipulated tumor cells in the bottom chamber
Include CCL2 neutralizing antibodies in some conditions
Quantify immune cell migration in response to varying PRPS2 and CCL2 levels
In vivo models with dual monitoring:
Establish tumors with PRPS2-modulated cells (with and without CCL2 knockdown)
Use flow cytometry with FITC-conjugated PRPS2 antibodies to quantify PRPS2 expression
Correlate with CCL2 levels in tumor tissue and immune cell infiltration patterns
Previous research has demonstrated that knocking down CCL2 can reverse the effects of PRPS2 overexpression on immune cell infiltration
These methodological approaches can help establish the mechanistic link between PRPS2 expression and CCL2-mediated immune modulation in cancer.
When working with FITC-conjugated PRPS2 antibodies in tissues with high autofluorescence (such as liver, kidney, or lung cancer tissues), researchers face several technical challenges that require methodological solutions:
Signal-to-noise ratio challenges:
FITC emits in the green spectrum (~520 nm), which overlaps with natural tissue autofluorescence
Particularly problematic in tissues containing lipofuscin, elastin, and collagen
Methodological solutions for immunohistochemistry:
| Autofluorescence Reduction Method | Protocol Details | Advantages | Limitations |
|---|---|---|---|
| Sudan Black B treatment | 0.1-0.3% in 70% ethanol for 20 minutes | Effective for lipofuscin | May reduce specific signal slightly |
| Sodium borohydride treatment | 0.1% solution for 2-3 minutes | Quenches aldehyde-induced fluorescence | Short shelf-life, must be freshly prepared |
| Commercial autofluorescence quenchers | According to manufacturer instructions | Ready-to-use, standardized | Higher cost |
| Photobleaching | Pre-exposure to light source | Simple, no additional reagents | Time-consuming, may damage tissue |
| Spectral unmixing | Acquisition of full emission spectra | Digital removal of autofluorescence | Requires specialized equipment |
Alternative detection strategies:
Consider switching to antibodies conjugated to fluorophores in red/far-red spectrum
Use amplification systems like tyramide signal amplification (TSA)
Consider indirect immunofluorescence with secondary antibodies conjugated to brighter fluorophores
Tissue-specific protocols:
For lung tissue: Extended fixation removal steps and longer Sudan Black B treatment
For liver tissue: Use of specialized quenching solutions containing copper sulfate
For aged tissues: Additional steps to reduce lipofuscin autofluorescence
Technical controls for autofluorescence:
Acquire images of unstained tissue sections under FITC filter settings
Include isotype control sections treated with all autofluorescence reduction steps
Consider acquiring multispectral images for computational removal of autofluorescence
Implementation of these methodological approaches can significantly improve the signal-to-noise ratio when using FITC-conjugated PRPS2 antibodies in tissues with high background autofluorescence.
Validating antibody specificity is critical for ensuring reliable research results. For FITC-conjugated PRPS2 antibodies, researchers should implement a multi-approach validation strategy:
Genetic validation approaches:
PRPS2 knockdown: Use siRNA or shRNA to deplete PRPS2 in relevant cell lines, similar to the LLC-shPRPS2 model
PRPS2 overexpression: Create overexpression systems as positive controls, such as LLC-PRPS2 cells
CRISPR/Cas9 knockout: Generate complete PRPS2 knockout cell lines as definitive negative controls
Measure signal reduction/increase in these genetically modified systems using flow cytometry and immunofluorescence
Epitope competition assays:
Pre-incubate the FITC-conjugated PRPS2 antibody with excess recombinant PRPS2 protein (specifically the 11-106AA region for antibodies targeting this epitope)
Apply the pre-absorbed antibody to samples and compare signal with non-competed antibody
A significant signal reduction indicates epitope-specific binding
Orthogonal detection methods:
Correlation with qPCR: Compare PRPS2 protein levels detected by the antibody with mRNA levels
Western blot validation: Use unconjugated antibodies against the same epitope to confirm specificity
Mass spectrometry: Validate protein identity following immunoprecipitation with the antibody
Multi-antibody comparison:
Test multiple antibodies against different PRPS2 epitopes
Compare staining patterns and expression levels
Consistent results across antibodies increase confidence in specificity
Tissue distribution analysis:
Compare PRPS2 detection patterns with known tissue expression profiles
Assess whether the antibody detects PRPS2 in tissues known to express the protein
Immunoprecipitation-mass spectrometry validation:
Use the antibody for immunoprecipitation
Analyze precipitated proteins by mass spectrometry
Confirm PRPS2 as the predominant protein identified
Implementing these validation approaches provides comprehensive evidence for antibody specificity and ensures reliable experimental outcomes when using FITC-conjugated PRPS2 antibodies in research.
Recent research has revealed significant correlations between PRPS2 expression and immune cell infiltration in tumor microenvironments, particularly in lung cancer models . Methodological approaches to investigate this relationship across cancer types include:
Comparative flow cytometric analysis:
Use multiparameter flow cytometry panels including:
FITC-conjugated PRPS2 antibodies
T cell markers: CD3, CD4, CD8
Myeloid cell markers: CD11b, F4/80, Ly6C, Ly6G
Activation/exhaustion markers: PD-1, TIM-3, LAG-3
Compare immune profiles across cancer types with varying PRPS2 expression levels
Research has demonstrated that PRPS2 knockdown increases CD4+ and CD8+ T cell percentages while decreasing TAMs and MDSCs in lung cancer models
Transcriptomic correlation analysis:
Analyze RNA-seq data from tumor samples with varying PRPS2 expression
Correlate PRPS2 expression with immune signature genes
Create hierarchical clustering of samples based on immune-related gene expression
Validate findings using FITC-conjugated PRPS2 antibodies in representative samples
Spatial immune profiling:
Perform multiplex immunofluorescence with PRPS2-FITC and immune cell markers
Quantify spatial relationships between PRPS2+ cells and immune populations
Compare spatial patterns across cancer types
Analyze proximity of PRPS2-expressing cells to immune cell clusters
In vivo manipulation studies:
Establish PRPS2-modulated xenograft or syngeneic models across cancer types
Monitor immune infiltration changes using flow cytometry
Compare efficacy of immune checkpoint inhibitors in PRPS2-high vs. PRPS2-low tumors
Existing research shows that PRPS2 overexpression in lung cancer models increases immunosuppressive cell recruitment
Secretome analysis:
These methodological approaches can help elucidate cancer type-specific patterns of PRPS2-mediated immune modulation and identify potential therapeutic targets for enhancing anti-tumor immunity.
Multiplexing FITC-conjugated PRPS2 antibodies with other fluorophores in spectral flow cytometry requires careful panel design and technical optimization:
Spectral overlap considerations:
| Fluorophore | Excitation Peak | Emission Peak | Spillover into FITC | Compensation Strategy |
|---|---|---|---|---|
| FITC (PRPS2) | 495 nm | 520 nm | - | Primary parameter |
| PE | 565 nm | 578 nm | Minimal | Standard compensation |
| APC | 650 nm | 660 nm | Negligible | Minimal compensation required |
| BV421 | 407 nm | 421 nm | Minimal | Standard compensation |
| PE-Cy7 | 565 nm | 785 nm | Negligible | Minimal compensation |
| BV605 | 407 nm | 605 nm | Some | Careful titration needed |
Panel design strategy:
Assign FITC to PRPS2 if it's a primary marker of interest
Assign brighter fluorophores (PE, APC) to markers with lower expression
Avoid pairing FITC with fluorophores having significant spectral overlap (CFSE, BB515)
Consider using PE-conjugated antibodies for CCL2 detection to distinguish from PRPS2-FITC
Reserve APC and PE-Cy7 for critical T cell or myeloid cell markers
Titration and optimization protocol:
Perform individual titrations of all antibodies, including PRPS2-FITC
Create a titration matrix varying concentrations from 1:50 to 1:800
Select optimal concentration based on signal-to-noise ratio
Validate in single-stain controls before combining in full panel
Compensation controls preparation:
Use compensation beads for each individual fluorochrome
Include FITC-conjugated PRPS2 antibody on compensation beads
Prepare an unstained control and single-stained controls for each fluorochrome
Adjust voltages to position negative and positive populations appropriately
Advanced spectral unmixing approaches:
Collect full emission spectra rather than using optical filters
Use reference spectra for each fluorophore including FITC
Apply computational algorithms to separate overlapping signals
Validate unmixing accuracy with known controls
Sensitivity enhancement strategies:
If PRPS2 expression is low, consider signal amplification systems
Optimize fixation and permeabilization for intracellular PRPS2 detection
Consider alternative PRPS2 antibodies with brighter fluorophores if needed
By implementing these technical considerations, researchers can successfully integrate FITC-conjugated PRPS2 antibodies into complex multiparameter flow cytometry panels to study PRPS2's relationship with immune cell populations and CCL2 expression.
As PRPS2 emerges as a potential therapeutic target in cancer, particularly due to its role in modulating immune responses through CCL2-mediated mechanisms , researchers need to consider how PRPS2-targeting therapies might affect immune monitoring protocols:
Epitope masking considerations:
PRPS2-targeting drugs may bind to the same epitopes recognized by diagnostic antibodies
Methodological solution: Validate multiple FITC-conjugated PRPS2 antibodies targeting different epitopes
Test whether therapeutic compounds interfere with antibody binding in vitro
Develop competitive binding assays to quantify epitope occupancy by therapeutics
Expression kinetics monitoring:
PRPS2-targeted therapies may alter expression levels or protein localization
Develop time-course protocols using FITC-conjugated PRPS2 antibodies
Combine with markers of cellular stress and apoptosis
Establish baseline expression in different tissue compartments before therapy
Immune response monitoring panels:
Design multiparameter flow cytometry panels including:
PRPS2-FITC to monitor target engagement
CCL2 detection to track downstream pathway effects
TAM and MDSC markers to monitor immunosuppressive cell changes
T cell activation markers to assess enhanced anti-tumor immunity
Research has shown that modulating PRPS2 expression affects these immune populations
Companion diagnostic development:
Standardize FITC-conjugated PRPS2 antibody protocols for patient stratification
Establish quantitative thresholds for PRPS2 expression levels
Correlate expression with clinical response to PRPS2-targeting therapies
Develop quality control standards for clinical implementation
Resistance mechanism identification:
Use FITC-conjugated PRPS2 antibodies to monitor changes in expression patterns
Investigate alternative pathways activated upon PRPS2 inhibition
Study compensatory mechanisms in the CCL2-CCR2 axis
Develop protocols to identify resistant cell populations
These methodological approaches will be essential for effectively monitoring responses to PRPS2-targeting therapies and understanding their impact on the tumor immune microenvironment.
Integrating PRPS2 expression data with comprehensive immune profiling requires sophisticated methodological approaches:
Multi-omics integration framework:
Combine FITC-based PRPS2 protein quantification with:
Transcriptomic profiling of immune-related genes
Proteomic analysis of signaling pathways
Metabolomic assessment of nucleotide synthesis
Develop computational pipelines for data integration
Use machine learning algorithms to identify patterns correlating PRPS2 expression with immune signatures
Spatial biology approaches:
Implement multiplex immunofluorescence with PRPS2-FITC and immune markers
Apply digital spatial profiling technologies
Quantify spatial relationships between PRPS2+ cells and immune populations
Generate spatial maps of PRPS2 expression relative to immune cell infiltration
Research has demonstrated spatial relationships between PRPS2-expressing cells and immune populations in tumor tissues
Single-cell analysis protocols:
Develop single-cell protocols combining:
PRPS2 protein detection using FITC-conjugated antibodies
Immune phenotyping with lineage markers
Functional readouts (cytokine production, proliferation)
Apply index sorting for linking phenotype to transcriptome
Create reference maps of PRPS2 expression across cell types
Patient-derived model systems:
Establish patient-derived xenografts or organoids
Monitor PRPS2 expression using FITC-conjugated antibodies
Test immunotherapy responses in humanized mouse models
Correlate PRPS2 levels with treatment outcomes
Develop predictive algorithms based on PRPS2 and immune parameters
Longitudinal monitoring protocols:
Design sequential sampling strategies
Track PRPS2 expression and immune changes during treatment
Develop minimally invasive techniques compatible with FITC-conjugated antibodies
Create standardized reporting frameworks for clinical implementation
Therapeutic response prediction models:
Integrate PRPS2 expression data with:
Immune checkpoint expression
Tumor mutational burden
T cell receptor repertoire
Develop decision support algorithms for treatment selection
Validate in prospective clinical studies
These integrated methodological approaches can help translate knowledge about PRPS2's role in immune modulation into clinical applications, potentially guiding immunotherapy decisions and identifying patients who might benefit from PRPS2-targeting strategies.
To ensure reproducibility and comparability of results across research laboratories using FITC-conjugated PRPS2 antibodies, the following standardization practices are recommended:
Antibody validation requirements:
Implement a minimum validation checklist including:
Genetic controls (knockdown/overexpression)
Specificity testing (peptide competition)
Cross-reactivity assessment
Lot-to-lot consistency verification
Document validation results in standardized formats
Share validation data through public repositories
Protocol standardization:
Develop detailed standard operating procedures (SOPs) for:
Sample preparation and fixation
Antibody concentration and incubation conditions
Instrument settings for flow cytometry and microscopy
Data analysis workflows
Include positive and negative control samples in each experiment
Implement quality control metrics to ensure consistent performance
Reference standards development:
Create calibration standards for PRPS2 expression quantification
Establish reference cell lines with defined PRPS2 expression levels
Develop standardized beads coated with known quantities of PRPS2 protein
Use these standards to normalize data across laboratories
Reporting standards:
Adopt minimum information guidelines for antibody-based experiments
Include complete methodological details in publications:
Antibody catalog number, lot, and concentration
Exact buffer compositions and incubation times
Complete instrument settings and analysis parameters
Share raw data through public repositories when possible
Interlaboratory testing:
Organize round-robin studies using identical samples and protocols
Compare PRPS2 detection across different laboratories
Identify sources of variability and develop mitigation strategies
Establish proficiency testing programs for specialized applications
By implementing these standardization practices, researchers can enhance the reproducibility and reliability of studies using FITC-conjugated PRPS2 antibodies, facilitating more robust investigation of PRPS2's role in cancer biology and immune regulation.
As technological platforms evolve, researchers can enhance PRPS2 studies by integrating FITC-conjugated antibodies with emerging technologies:
Mass cytometry (CyTOF) integration:
Convert FITC-based detection to metal-tagged antibodies
Develop panels with 30+ markers alongside PRPS2
Create computational workflows to analyze high-dimensional data
Map PRPS2 expression across complex immune landscapes
Spatial transcriptomics combination:
Combine FITC-conjugated PRPS2 antibody imaging with spatial RNA-seq
Correlate protein expression with transcriptional profiles in the same tissue section
Map relationships between PRPS2-expressing cells and CCL2 production
Study spatial organization of immune cells around PRPS2-high regions
Live-cell imaging adaptations:
Develop protocols for non-toxic FITC-antibody fragments
Implement real-time monitoring of PRPS2 expression dynamics
Track interactions between PRPS2-expressing cells and immune populations
Study temporal aspects of PRPS2-mediated immune modulation
Microfluidic applications:
Design chips for single-cell analysis with PRPS2-FITC detection
Create organ-on-chip models to study PRPS2 in tumor-immune interactions
Develop high-throughput screening platforms for PRPS2-targeting compounds
Implement droplet-based assays for ultra-sensitive detection
AI-assisted image analysis:
Train deep learning algorithms to identify PRPS2-expressing cells in complex tissues
Develop automated quantification of immune cell proximities
Create predictive models relating PRPS2 patterns to immune infiltration
Implement cloud-based analysis platforms for collaborative research
Liquid biopsy integration:
Adapt FITC-conjugated PRPS2 antibodies for circulating tumor cell detection
Correlate with soluble immune markers in plasma
Monitor PRPS2 expression in exosomes
Develop minimally invasive monitoring approaches