CDS2 Antibody, FITC conjugated

Shipped with Ice Packs
In Stock

Description

Applications in Research

FITC-conjugated CDS2 antibodies are optimized for diverse experimental workflows:

ApplicationDetailsReferences
Flow Cytometry (FC)Detects CDS2 expression in human cell lines (e.g., HepG2) with 5 µL per 10⁶ cells .
Western Blot (WB)Identifies the 51 kDa band in human heart and mouse brain tissues .
Immunohistochemistry (IHC)Validated in acetone-fixed frozen sections .
Immunoprecipitation (IP)Used for protein-protein interaction studies in HepG2 lysates .

Validation and Performance

  • Specificity: Antibodies are validated using knockout/knockdown controls to confirm target specificity .

  • Sensitivity: FITC labeling enhances detection limits but may reduce binding affinity if over-conjugated .

  • Cross-reactivity: Demonstrated reactivity with human, zebrafish, and other model organisms .

Research Findings and Considerations

  • FITC Labeling Impact: Excessive FITC conjugation (>5 molecules per antibody) reduces binding affinity by 30–50%, necessitating optimization for assays .

  • Functional Insights: CDS2 deficiency is linked to altered phosphatidylinositol levels, affecting cellular signaling and membrane dynamics .

Troubleshooting and Best Practices

  • Non-specific staining: Use isotype controls and titrate antibodies to minimize background .

  • Laser compatibility: FITC requires a 488 nm excitation laser, standard in most flow cytometers .

This synthesis of commercial, biochemical, and methodological data underscores the utility of FITC-conjugated CDS2 antibodies in lipid metabolism research. Proper validation and application-specific optimization are critical for reliable results.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch orders within 1-3 working days of receipt. Delivery times may vary depending on the chosen method and location. Please consult your local distributor for specific delivery timelines.
Synonyms
CDS2; Phosphatidate cytidylyltransferase 2; CDP-DAG synthase 2; CDP-DG synthase 2; CDP-diacylglycerol synthase 2; CDS 2; CDP-diglyceride pyrophosphorylase 2; CDP-diglyceride synthase 2; CTP:phosphatidate cytidylyltransferase 2
Target Names
Uniprot No.

Target Background

Function
This antibody targets CDS2, an enzyme that catalyzes the conversion of phosphatidic acid (PA) to CDP-diacylglycerol (CDP-DAG). CDP-DAG is a crucial intermediate in the synthesis of phosphatidylglycerol, cardiolipin, and phosphatidylinositol. CDS2 exhibits specificity for the acyl chains at the sn-1 and sn-2 positions of PA, with a preference for 1-stearoyl-2-arachidonoyl-sn-phosphatidic acid. This enzyme plays a vital role in regulating the growth and maturation of lipid droplets, which are organelles responsible for lipid and energy homeostasis.
Gene References Into Functions
  1. CDS1 and CDS2 are significant novel regulators of lipid storage. PMID: 26946540
  2. The two isoforms of CDP-diacylglycerol synthase exhibit distinct properties. PMID: 25375833
Database Links

HGNC: 1801

OMIM: 603549

KEGG: hsa:8760

STRING: 9606.ENSP00000419879

UniGene: Hs.126857

Protein Families
CDS family
Subcellular Location
Endoplasmic reticulum membrane; Multi-pass membrane protein.
Tissue Specificity
Widely expressed. Expressed in heart, brain and retina, and to a lesser extent in placenta, lung, liver, skeletal muscle, kidney and pancreas.

Q&A

What is CDS2 and why is it an important target for antibody-based detection?

CDS2 (Phosphatidate cytidylyltransferase 2) is an essential enzyme that catalyzes the conversion of phosphatidic acid (PA) to CDP-diacylglycerol (CDP-DAG), which serves as a critical intermediate in the synthesis of phosphatidylglycerol, cardiolipin, and phosphatidylinositol. Its significance extends to regulating the growth and maturation of lipid droplets, which are storage organelles central to lipid and energy homeostasis . Researchers target CDS2 with antibodies to study its expression patterns, localization, and involvement in lipid metabolism pathways, particularly in contexts such as metabolic disorders, cancer biology, and cellular stress responses.

What advantages does FITC conjugation provide for antibody applications?

FITC (Fluorescein Isothiocyanate) conjugation provides several key advantages in research applications:

  • Direct visualization without secondary detection reagents

  • Enhanced precision in flow cytometry and immunofluorescence assays

  • Ability to perform quantitative expression analysis of target proteins

  • Compatibility with standard fluorescence microscopy and flow cytometry instrumentation

  • Established excitation/emission profile (494/518 nm) compatible with standard FITC filter sets

The fluorescent labeling enables researchers to visualize and quantify protein expression in various experimental techniques, significantly enhancing the precision and accuracy of experimental results .

How should FITC-conjugated antibodies be stored to maintain optimal performance?

FITC-conjugated antibodies require specific storage conditions to preserve their fluorescence properties and binding capacity:

  • Store at 2-8°C (refrigerated, not frozen)

  • Protect from prolonged exposure to light using amber vials or aluminum foil

  • Maintain in appropriate buffer systems (typically phosphate-buffered solutions at pH 7.2)

  • Include protein stabilizers (often 1% protein protectant)

  • Centrifuge vials before opening to ensure complete recovery of contents

  • Avoid repeated freeze-thaw cycles which can damage the antibody and fluorophore

Following these guidelines can help maintain antibody integrity for up to one year from purchase when properly stored .

What controls should be included when using FITC-conjugated CDS2 antibodies?

When designing experiments with FITC-conjugated antibodies for CDS2 detection, the following controls are essential:

Control TypePurposeImplementation
Isotype ControlMeasures non-specific bindingUse FITC-conjugated isotype-matched irrelevant antibody (e.g., FITC-conjugated Rat IgG2a, κ)
Unstained ControlEstablishes background autofluorescenceProcess cells without any antibody addition
Single-Color ControlsFor compensation in multicolor panelsEach fluorophore used individually on separate samples
Biological Negative ControlValidates specificityCell line or tissue known to lack CDS2 expression
Biological Positive ControlConfirms detection capacityCell line with confirmed CDS2 expression (e.g., HepG2, HeLa, MCF7)
Blocking ControlVerifies specific epitope bindingPre-incubation with unconjugated antibody or antigen

Proper controls ensure experimental validity and support accurate interpretation of results in flow cytometry, immunofluorescence, and other fluorescence-based applications .

How should researchers approach titration of FITC-conjugated CDS2 antibodies for optimal signal-to-noise ratio?

Antibody titration is critical for achieving optimal staining with minimal background. For FITC-conjugated CDS2 antibodies, a methodical approach involves:

  • Perform serial dilutions starting from the manufacturer's recommended concentration (typically 5 μL per million cells in 100 μL staining volume)

  • Create a minimum of 5 different concentrations (e.g., 10 μL, 5 μL, 2.5 μL, 1.25 μL, 0.625 μL per test)

  • Stain positive control samples (e.g., HepG2, HeLa, or MCF7 cells for CDS2)

  • Analyze using the signal-to-noise ratio (SNR) metric with the formula:

    SNR=MFIpositiveMFIbackgroundSDbackgroundSNR = \frac{MFI_{positive} - MFI_{background}}{SD_{background}}

  • Plot titration curves showing SNR versus antibody concentration

  • Select the concentration that yields the highest SNR while minimizing reagent usage

This systematic approach ensures reproducible staining with optimal discrimination between positive and negative populations. The procedure should be repeated for each new lot of antibody to accommodate potential variation in conjugation efficiency .

What are the technical considerations when designing multicolor panels including FITC-conjugated CDS2 antibodies?

Designing effective multicolor panels that include FITC-conjugated antibodies requires addressing several technical challenges:

  • Spectral overlap management:

    • FITC has significant spectral overlap with PE and other fluorophores

    • Implement proper compensation using single-stained controls

    • Consider brightness hierarchy: place FITC on highly expressed targets or use brighter fluorophores for lower-expressed markers

  • Panel design strategy:

    • Evaluate antigen density: CDS2 is expressed at variable levels depending on cell type

    • Consider using alternative fluorophores (e.g., Alexa Fluor 488) for brighter signals if CDS2 expression is low

    • Position antibodies in the panel to minimize interference from other stains

  • Spreading error mitigation:

    • Account for spreading error in adjacent channels when using FITC

    • Implement computational spreading error reduction during analysis

    • Avoid placing critical markers in channels heavily affected by FITC spillover

  • Validation requirements:

    • For quantitative measurements, establish higher signal intensity reproducibility (variation <30%)

    • For discrete antigen measurements, lower reproducibility is acceptable

    • Validate panel performance using known positive and negative controls

These considerations ensure optimal performance in complex experimental designs while minimizing artifacts and misinterpretation.

How can researchers validate the specificity of FITC-conjugated CDS2 antibodies?

Comprehensive validation of CDS2 antibody specificity requires a multi-technique approach:

  • Genetic manipulation validation:

    • Compare staining between CDS2 knockout/knockdown models and wild-type

    • Perform rescue experiments with CDS2 overexpression

    • Use CRISPR-Cas9 edited cell lines to confirm target specificity

  • Epitope blocking studies:

    • Pre-incubate antibody with recombinant CDS2 protein before staining

    • Competitive inhibition should eliminate specific staining

    • Use dose-response experiments to quantify blocking efficiency

  • Cross-validation with orthogonal techniques:

    • Compare flow cytometry results with Western blot using the same antibody

    • Correlate with immunohistochemistry patterns in matching samples

    • Verify with Mass Spectrometry-based protein detection

  • Antibody cross-reactivity assessment:

    • Test against related proteins (e.g., CDS1)

    • Evaluate species cross-reactivity if working with non-human models

    • Screen multiple cell types with varying expression levels

  • Comparative antibody validation:

    • Test multiple anti-CDS2 antibodies targeting different epitopes

    • Compare staining patterns between different clones

    • Establish consensus patterns across antibodies

Implementing this validation framework ensures research reliability and reproducibility while preventing false interpretations from non-specific binding.

What methodological approaches can resolve discrepancies in CDS2 detection between flow cytometry and Western blot?

When researchers encounter discrepancies between flow cytometry (using FITC-conjugated antibodies) and Western blot results for CDS2, systematic troubleshooting includes:

  • Epitope accessibility analysis:

    • Flow cytometry detects native proteins while Western blot detects denatured proteins

    • Some epitopes may be exposed differently in each technique

    • Use antibodies targeting different regions of CDS2 (e.g., N-terminal vs. C-terminal)

  • Protein localization considerations:

    • CDS2 is predominantly localized to the endoplasmic reticulum membrane

    • Flow cytometry requires permeabilization to access intracellular CDS2

    • Verify permeabilization efficiency using known intracellular controls

  • Quantitative correlation analysis:

    • Plot mean fluorescence intensity (MFI) from flow cytometry against Western blot band intensity

    • Calculate Pearson's correlation coefficient between techniques

    • Identify outlier samples for further investigation

  • Sample preparation harmonization:

    • Standardize cell lysis conditions between techniques

    • Use identical fixation protocols when possible

    • Process samples simultaneously to minimize temporal variation

  • Technical protocol adaptation:

    • For flow cytometry: optimize permeabilization, antibody concentration, and incubation time

    • For Western blot: adjust loading amount, transfer conditions, and blocking reagents

    • Validate with cell lines showing different expression levels (HepG2, HeLa, MCF7)

This systematic approach can reconcile apparent discrepancies and provide deeper insight into protein behavior under different experimental conditions.

How can FITC-conjugated CDS2 antibodies be used to study lipid droplet dynamics?

CDS2 plays a crucial role in regulating lipid droplet growth and maturation. Researchers can leverage FITC-conjugated CDS2 antibodies to investigate this biology through:

  • Co-localization studies:

    • Combine FITC-conjugated CDS2 antibodies with lipid droplet stains (e.g., BODIPY or Nile Red)

    • Analyze recruitment of CDS2 to lipid droplet surfaces during biogenesis

    • Quantify Pearson's correlation coefficients between fluorescence channels

  • Live-cell imaging approaches:

    • Use cell-permeable FITC-conjugated antibody fragments

    • Track dynamic changes in CDS2 localization during lipid droplet formation

    • Implement time-lapse microscopy to capture temporal relationships

  • Metabolic challenge experiments:

    • Monitor CDS2 expression and localization after fatty acid loading

    • Analyze response to lipogenic or lipolytic stimuli

    • Correlate CDS2 expression with lipid droplet size and number

  • Multi-parametric analysis:

    • Combine with markers for ER stress (site of CDS2 activity)

    • Integrate with phosphatidylinositol pathway components

    • Assess relationships with lipid metabolism regulators

This application enables researchers to understand how CDS2 contributes to lipid homeostasis and energy metabolism at the cellular level, with implications for metabolic disorders and cancer biology .

What are the critical parameters for optimizing FITC-conjugated antibody performance in quantitative flow cytometry?

When using FITC-conjugated CDS2 antibodies for quantitative applications, researchers should optimize:

  • Instrument calibration requirements:

    • Perform daily QC using fluorescent beads

    • Establish target MFI ranges for consistent detection

    • Implement standardized MESF (Molecules of Equivalent Soluble Fluorochrome) beads

  • Signal stability considerations:

    • Monitor photobleaching effects with time-course experiments

    • Standardize acquisition speed and laser power

    • Establish fluorescence intensity stability benchmarks

  • Background minimization strategies:

    • Optimize buffers to reduce autofluorescence (add quenchers if needed)

    • Implement stringent washing protocols

    • Use viability dyes to exclude dead cells (which often show increased autofluorescence)

  • Quantitative controls implementation:

    • Include quantitation beads in each experiment

    • Establish standard curves for absolute quantification

    • Calculate antibody binding capacity using reference standards

  • Reproducibility parameters:

    • For quantitative applications, maintain signal variation below 30%

    • Standardize sample preparation timing and conditions

    • Implement computational standardization across experiments

These optimizations are essential for applications requiring precise quantitative measurements of CDS2 expression, particularly in longitudinal studies or when comparing expression levels across different experimental conditions.

How can researchers troubleshoot non-specific binding when using FITC-conjugated CDS2 antibodies in complex tissue samples?

When working with complex tissue samples like brain or liver where CDS2 has been detected , researchers can address non-specific binding through:

  • Comprehensive blocking strategy:

    • Implement dual blocking with both serum (10% normal serum) and protein blockers (1-5% BSA)

    • Include Fc receptor blocking reagents (critical for tissues with immune cell infiltrates)

    • Incorporate avidin/biotin blocking when using biotin-based detection systems

  • Tissue-specific optimization:

    • Adjust antigen retrieval methods based on tissue type (citrate buffer pH 6.0 has been validated)

    • Optimize fixation protocols (overfixation can increase background)

    • Develop tissue-specific permeabilization protocols

  • Advanced validation controls:

    • Perform peptide competition assays with recombinant CDS2

    • Include absorption controls with unrelated tissues

    • Compare staining patterns in multiple tissue types to identify consistent versus variable signals

  • Signal amplification alternatives:

    • For low expression scenarios, consider tyramide signal amplification (TSA)

    • Compare direct FITC conjugation versus indirect detection systems

    • Evaluate alternative fluorophores with higher signal-to-noise ratios

  • Quantitative image analysis:

    • Implement computational background subtraction methods

    • Use spectral unmixing for autofluorescence removal

    • Apply threshold-based algorithms to distinguish specific from non-specific signals

These approaches significantly improve signal specificity in complex tissues where multiple potential binding sites exist, ensuring reliable interpretation of CDS2 localization patterns.

How might FITC-conjugated CDS2 antibodies be applied in high-dimensional cytometry and computational analysis pipelines?

As immunophenotyping technologies advance, FITC-conjugated CDS2 antibodies can be integrated into sophisticated analysis frameworks:

  • High-parameter cytometry applications:

    • Incorporate CDS2 detection into 30+ parameter spectral flow cytometry panels

    • Optimize panel design considering FITC spectral characteristics

    • Implement computational spillover correction for precise quantification

  • Machine learning classification approaches:

    • Use CDS2 expression patterns as features in unsupervised clustering algorithms

    • Train neural networks to identify cell populations based on CDS2 in combination with other markers

    • Develop predictive models correlating CDS2 expression with functional outcomes

  • Single-cell trajectory analysis:

    • Include CDS2 as a parameter in pseudotime analysis

    • Track CDS2 expression changes during cellular differentiation or activation

    • Correlate with lipid metabolism changes during developmental processes

  • Cross-platform data integration:

    • Harmonize flow cytometry data with transcriptomic or proteomic datasets

    • Implement batch correction algorithms for multi-center studies

    • Develop standardized computational pipelines for reproducible analysis

This approach enables researchers to extract maximum information from complex datasets, revealing relationships between CDS2 expression and cellular phenotypes that might not be apparent with traditional analysis methods.

What methodological considerations are important when developing FITC-conjugated antibodies against different epitopes of CDS2?

Researchers developing custom FITC-conjugated antibodies against CDS2 should consider:

  • Epitope selection strategy:

    • Target accessible regions based on protein topology (CDS2 is a transmembrane protein)

    • Avoid highly conserved regions if species specificity is desired

    • Consider epitopes in different domains (N-terminal, transmembrane, C-terminal)

  • Conjugation chemistry optimization:

    • Determine optimal FITC-to-antibody ratio (typically 3:1 to 7:1)

    • Implement site-specific conjugation to avoid affecting binding domains

    • Evaluate different conjugation chemistries (NHS-ester, maleimide)

  • Functional validation hierarchy:

    • Verify epitope accessibility in native versus denatured states

    • Compare performance in different applications (flow cytometry vs. microscopy)

    • Assess impact of different fixation/permeabilization protocols

  • Cross-validation requirements:

    • Compare new conjugates with established unconjugated antibodies

    • Validate with recombinant CDS2 expression systems

    • Benchmark against commercial antibodies when available

This methodical approach ensures development of high-quality FITC-conjugated antibodies with optimal performance characteristics for specific research applications targeting different functional domains of the CDS2 protein.

What future directions are emerging for applying FITC-conjugated CDS2 antibodies in metabolic disease research?

As research into lipid metabolism and metabolic disorders advances, FITC-conjugated CDS2 antibodies are positioned to play important roles in:

  • Therapeutic target validation:

    • Monitoring CDS2 expression changes in response to metabolic interventions

    • Correlation of CDS2 levels with disease progression biomarkers

    • Investigation of CDS2 as a potential druggable target in metabolic disorders

  • Personalized medicine applications:

    • Development of flow cytometry-based diagnostic panels including CDS2

    • Identification of patient subgroups based on CDS2 expression patterns

    • Prediction of treatment response based on CDS2-related phenotypes

  • Integration with emerging technologies:

    • Combination with spatial transcriptomics for tissue-level analysis

    • Application in organ-on-chip models studying lipid metabolism

    • Implementation in high-throughput drug screening platforms

  • Multiomics integration frameworks:

    • Correlation of CDS2 protein expression with lipidomic profiles

    • Integration with metabolomic signatures of disease states

    • Development of comprehensive cellular models incorporating CDS2 functionality

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.