GAK Antibody, FITC conjugated

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Description

Overview of GAK Antibody, FITC Conjugated

GAK (Gene ID: 2580) is a ubiquitously expressed kinase involved in clathrin vesicle uncoating via auxilin-like activity and interacts with cyclin G and CDK5. The antibody is a polyclonal rabbit IgG raised against a synthetic peptide spanning amino acids 244–330/1311 of human GAK . FITC conjugation enhances its utility in fluorescence-based assays, including immunohistochemistry (IHC), immunofluorescence (IF), and Western blot (WB).

Applications and Dilution Recommendations

ApplicationDilution Range
Western Blot (WB)1:300–5000
Immunohistochemistry1:50–200 (IHC-P, IHC-F)
Immunocytochemistry1:50–200

Critical Considerations for FITC Conjugation

Research highlights key challenges with FITC-labeled antibodies:

  • Binding Affinity Reduction: Studies demonstrate a negative correlation between FITC-labeling density and antibody-antigen binding affinity. Higher labeling indices (>1.5) significantly impair binding .

  • Non-Specific Staining: Antibodies with elevated FITC-labeling ratios exhibit increased non-specific staining in IHC, necessitating stringent optimization .

  • Optimal F:P Ratio: A balance between fluorescence intensity and binding efficiency is critical. For Fc125 anti-HA antibodies, an F:P ratio of 2–3 minimizes inactivation .

Research Findings and Implications

  • Antibody Inactivation: FITC conjugation inactivates a fraction of antibodies via steric hindrance or active-site modification. Poisson statistics model this inactivation, with >30% loss observed at F:P ratios exceeding 4 .

  • Tissue Cross-Reactivity: GAK antibodies must be validated for species specificity, as predicted reactivity in rat and dog requires experimental confirmation .

  • Cell Cycle Dynamics: GAK expression oscillates during the cell cycle, peaking in G1 phase, suggesting temporal regulation in clathrin-mediated endocytosis .

References

  1. Bioss USA. GAK protein Polyclonal Antibody, FITC Conjugated [Product Datasheet].

  2. PMC2876214. Fluorescent labeled antibodies – balancing functionality and degree of labeling.

  3. PubMed 20546862. The importance of characterization of FITC-labeled antibodies used in tissue cross-reactivity studies.

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 order within 1-3 business days of receiving it. Delivery times may vary depending on the shipping method and location. Please consult your local distributor for specific delivery timeframes.
Synonyms
Auxilin 2 antibody; Cyclin G associated kinase antibody; Cyclin-G-associated kinase antibody; DNAJ26 antibody; DNAJC26 antibody; EC 2.7.11.1 antibody; FLJ16629 antibody; FLJ40395 antibody; GAK antibody; GAK protein antibody; GAK_HUMAN antibody; MGC99654 antibody
Target Names
GAK
Uniprot No.

Target Background

Function
GAK associates with cyclin G and CDK5. It appears to function as an auxilin homolog, playing a role in the uncoating of clathrin-coated vesicles by Hsc70 in non-neuronal cells. GAK expression fluctuates slightly during the cell cycle, reaching its peak during the G1 phase.
Gene References Into Functions
  1. These findings suggest that the abnormal mitoses observed after silencing OIP5-AS1 are attributed to an untimely increase in GAK levels. This indicates that OIP5-AS1 may suppress cell proliferation, at least partially, by reducing GAK levels. PMID: 28472763
  2. The multiple single nucleotide polymorphisms (SNPs) of GAK appear to synergistically contribute to the pathogenesis of sporadic Parkinson's disease through multiple pathways. PMID: 26676575
  3. Our research has shown that siRNA-mediated silencing of GAK significantly disrupts the cell cycle, leading to an elevated sub-G1 population alongside decreased G1 and G2/M phases. Combined inhibition of FBXW7 and GAK results in an increased occurrence of multipolar mitoses. PMID: 28829765
  4. GAK gene expression is elevated in Parkinson's disease. PMID: 27508417
  5. Our results suggest that the c-Src_GAK_MCM axis plays a crucial role in cell cycle progression by regulating the DNA replication licensing system. PMID: 28135906
  6. We identified four OSCC genes, including SERPINB9, SERPINE2, GAK, and HSP90B1, using a gene global prioritization score (P < 0.005). PMID: 26318431
  7. This meta-analysis suggests that the GAK rs1564282 C/T polymorphism is associated with an increased susceptibility to Parkinson's disease. PMID: 25975492
  8. Our data indicate that GBA and TMEM175/GAK significantly influence the age of onset in Parkinson's disease. PMID: 25914293
  9. AAK1 and GAK are essential regulators of HCV entry, partially by activating EGFR, AP2M1, and NUMB. These proteins serve as molecular targets for the antiviral effects of sunitinib and erlotinib, respectively. PMID: 25653444
  10. We investigated the effects of rs11248051 and rs1564282 variants of GAK, and the rs3129882 variant of HLA-DRA, in Parkinson's disease patients. PMID: 24039160
  11. The apo structure of GAK reveals a dimeric inactive state of the catalytic domain, mediated by an unusual activation segment interaction. PMID: 24438162
  12. Cyclin-G-associated kinase (GAK) is a binding partner of LRRK2, a candidate gene for sporadic Parkinson's disease risk, and part of a complex that promotes the clearance of Golgi-derived vesicles through the autophagy-lysosome system. PMID: 24510904
  13. Dominant-negative mutants of IRAK4 and GAK demonstrate strong apoptotic effects in A498 cells under anoxic conditions. PMID: 23591012
  14. Neither the CT, TT genotypes nor the minor allele T of single nucleotide polymorphism rs1564282 were associated with Parkinson's disease among subjects from Taiwan and Singapore. PMID: 23826309
  15. This study found that the minor alleles of GAK rs1564282 and DGKQ significantly increase the risk of PD in Han Chinese populations. PMID: 23618683
  16. GAK acts as a regulator of dephosphorylation events under the control of the PP2A B'gamma subunit. PMID: 22262175
  17. Our study demonstrated that the rs1564282 variant in GAK (PARK17) increases the risk of Parkinson's disease in Han Chinese patients from mainland China. PMID: 22198721
  18. Cyclin G-associated kinase (GAK) is associated with Parkinson's disease risk, and our findings suggest that GAK and alpha-synuclein interact in a pathway involved in disease pathogenesis. PMID: 21258085
  19. GAK is a promising candidate for further investigation in future studies. PMID: 21058943
  20. Osteosarcoma cell proliferation and survival depend on GAK. PMID: 20881269
  21. Our results identify a role for GAK and clathrin in microtubule outgrowth from kinetochores/chromosomes, suggesting that GAK acts through clathrin to control microtubule outgrowth around chromosomes. PMID: 20237935
  22. Immunostaining, ectopic expression of GFP-GAK, and pull-down assays using dissected GAK fragments demonstrate that GAK localizes in both the cytoplasm and nucleus. PMID: 19371378
  23. Down-regulation of GAK results in the outgrowth of cells in soft agar, raising the possibility that loss of GAK function may contribute to tumorigenesis. PMID: 15240878
  24. GAK enhances the androgen receptor transcriptional response, even at low concentrations of androgens. PMID: 16161052
  25. Our results describe the recruitment dynamics of GAK and auxilin to clathrin-coated pits during endocytosis. PMID: 16895969
  26. Interactions between the PsiG[PDE][PsiLM]-motif sequences in GAK and the AP1-gamma-ear domain are critical for the recruitment of GAK to the trans-Golgi network and its function in lysosomal enzyme sorting. PMID: 17538018
  27. GAK and CHC cooperate in the same pathway and interact during mitosis to regulate the formation of a functional spindle. PMID: 19654208

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Database Links

HGNC: 4113

OMIM: 602052

KEGG: hsa:2580

STRING: 9606.ENSP00000314499

UniGene: Hs.369607

Protein Families
Protein kinase superfamily, Ser/Thr protein kinase family
Subcellular Location
Cytoplasm, perinuclear region. Golgi apparatus, trans-Golgi network. Cell junction, focal adhesion. Note=Localizes to the perinuclear area and to the trans-Golgi network. Also seen on the plasma membrane, probably at focal adhesions.
Tissue Specificity
Ubiquitous. Highest in testis.

Q&A

What is GAK protein and why is it a significant research target?

GAK (Cyclin G Associated Kinase) is a multifunctional protein that plays a pivotal role in cell cycle regulation through its interaction with cyclin G and cyclin-dependent kinases (Cdks). Its significance stems from its crucial involvement in the G1 to S phase transition during cell division. GAK associates with cyclin G, which helps modulate the activity of Cdks, thereby influencing the timing of cell division and ensuring proper cellular function. Additionally, GAK has been shown to co-immunoprecipitate with Cdk5, further highlighting its importance in cell cycle control and signaling pathways. The ability of GAK to bind directly to cyclin G and its involvement in phosphorylation processes underscores its relevance in cancer research and therapeutic development .

What techniques can GAK antibody with FITC conjugation be used for?

FITC-conjugated GAK antibodies can be utilized across multiple immunological techniques, primarily:

  • Immunofluorescence (IF) - For visualizing GAK protein localization in fixed cells or tissue sections

  • Flow Cytometry (FCM) - For quantifying GAK expression in cell populations

  • Fluorescence Microscopy - For high-resolution imaging of GAK distribution

  • Immunohistochemistry on frozen and paraffin-embedded sections (IHC-F, IHC-P)

  • Immunocytochemistry (ICC) - For cellular localization studies

The advantage of FITC conjugation is that it eliminates the need for secondary antibody incubation steps, streamlining the experimental workflow while providing strong fluorescent signals that can be detected using standard FITC filter sets (excitation ~495 nm, emission ~519 nm) .

How does the fluorescence mechanism of FITC-conjugated antibodies work in detection systems?

FITC-conjugated antibodies operate on the principle of fluorescence, where the FITC molecule absorbs light at approximately 495 nm and emits light at a longer wavelength of approximately 519 nm. When a FITC-conjugated GAK antibody binds to its target antigen, the attached FITC molecules can be excited by an appropriate light source, causing them to emit a green fluorescent signal that can be detected using fluorescence microscopy, flow cytometry, or other fluorescence-based imaging systems.

The detection process involves:

  • Binding of the FITC-conjugated primary antibody to the GAK protein in the sample

  • Excitation of the FITC fluorophore using a light source (typically blue light)

  • Emission of green fluorescent light by the excited FITC molecules

  • Detection of the emitted light using appropriate filters and detectors

This mechanism allows for the visualization and quantification of GAK protein with high sensitivity and specificity in various biological samples .

What are the optimal conditions for FITC conjugation to antibodies for GAK detection?

Optimal FITC conjugation to antibodies requires careful control of several parameters to achieve maximum labeling efficiency while preserving antibody function. Based on experimental evidence, the following conditions yield optimal results:

ParameterOptimal ConditionRationale
Antibody PurityIgG purified by DEAE Sephadex chromatographyHigher purity yields more consistent conjugation
FITC QualityHigh-grade FITCEnsures efficient and consistent labeling
pH9.5Promotes optimal reaction kinetics
Protein Concentration25 mg/mlHigher concentrations accelerate conjugation
Reaction Time30-60 minutesSufficient for maximal labeling without over-conjugation
TemperatureRoom temperature (20-25°C)Balances reaction rate with antibody stability

After conjugation, separation of optimally labeled antibodies from under- and over-labeled proteins can be achieved through gradient DEAE Sephadex chromatography. This approach ensures that the resulting FITC-conjugated antibodies maintain appropriate fluorescein/protein (F/P) ratios for optimal signal-to-noise ratio in subsequent applications .

How should researchers determine the appropriate dilution factors for FITC-conjugated GAK antibodies in different applications?

Determining the optimal dilution for FITC-conjugated GAK antibodies requires systematic titration experiments tailored to each specific application. Below is a methodological approach:

  • Initial Range Determination:

    • For immunofluorescence: Start with dilutions of 1:50, 1:100, 1:200, 1:500, and 1:1000

    • For flow cytometry: Begin with dilutions of 1:20, 1:50, 1:100, and 1:200

  • Titration Protocol:

    • Prepare samples with known GAK expression (positive controls and negative controls)

    • Apply different antibody dilutions to identical samples

    • Process all samples using identical protocols (fixation, permeabilization, blocking)

    • Include appropriate negative controls (isotype control, secondary-only control)

  • Evaluation Criteria:

    • Signal-to-noise ratio (specific signal vs. background)

    • Signal intensity (should be sufficient for detection but not saturated)

    • Consistency across replicates

    • Pattern of staining (should match expected subcellular localization)

  • Optimization:

    • For western blotting applications with GAK antibodies, starting dilutions of 1:1000 are typically recommended

    • For immunoprecipitation, dilutions around 1:50 are often used as starting points

The optimal dilution is the one that provides the highest specific signal with minimal background fluorescence, allowing clear visualization or quantification of GAK protein in your experimental system.

What controls should be included when using FITC-conjugated GAK antibodies for immunofluorescence or flow cytometry?

A robust experimental design with appropriate controls is essential for generating reliable and interpretable data when using FITC-conjugated GAK antibodies:

Essential Controls:

  • Positive Control

    • Samples known to express GAK protein (e.g., cell lines with confirmed GAK expression)

    • Purpose: Validates antibody functionality and establishes expected signal patterns

  • Negative Control

    • Samples known not to express GAK or GAK-knockdown/knockout samples

    • Purpose: Establishes background signal levels and confirms specificity

  • Isotype Control

    • A FITC-conjugated antibody of the same isotype as the GAK antibody but with irrelevant specificity

    • Purpose: Accounts for non-specific binding due to Fc receptor interactions or other isotype-specific effects

  • Autofluorescence Control

    • Unstained samples processed through all steps except antibody addition

    • Purpose: Measures inherent sample fluorescence in the FITC channel

  • Cross-Reactivity Control

    • For multiplex experiments, single-stained samples for each fluorophore

    • Purpose: Allows correction for spectral overlap between channels

Additional Controls for Advanced Applications:

  • Blocking Peptide Control

    • GAK antibody pre-incubated with its specific immunizing peptide

    • Purpose: Confirms binding specificity

  • Secondary-Only Control (if using a two-step staining method)

    • Samples treated with only the secondary antibody

    • Purpose: Measures non-specific binding of the secondary antibody

When using GAK antibodies, pay particular attention to specificity controls, as antibodies should be validated to ensure they do not cross-react with other human proteins like IgA or IgM .

How can researchers quantitatively analyze GAK expression levels using FITC-conjugated antibodies in flow cytometry?

Quantitative analysis of GAK expression using FITC-conjugated antibodies in flow cytometry involves several methodological steps:

  • Instrument Setup and Calibration:

    • Calibrate the flow cytometer using standardized FITC-labeled beads

    • Establish appropriate voltage settings for the FITC channel

    • Define positive and negative populations using control samples

  • Data Acquisition Parameters:

    • Collect sufficient events (typically 10,000-50,000 per sample)

    • Establish appropriate gating strategy to exclude debris and select target cell populations

    • Use forward and side scatter to identify viable cells

  • Quantification Methods:

    • Mean/Median Fluorescence Intensity (MFI): Measures average GAK expression per cell

    • Percent Positive: Determines the proportion of cells expressing GAK above threshold

    • Relative Fluorescence Intensity: Normalizes GAK expression to control samples

  • Statistical Analysis:

    • Apply appropriate statistical tests based on experimental design

    • Compare MFI values across treatment groups or time points

    • Calculate fold changes in GAK expression relative to controls

  • Visualization and Reporting:

    • Generate histograms showing distribution of GAK expression

    • Create overlay plots comparing different samples/conditions

    • Report both numerical data (MFI, percent positive) and representative plots

For optimal results, always normalize GAK expression data to appropriate controls and consider the dynamic range of your detection system. The high signal amplification characteristic of FITC-conjugated antibodies provides good quantifiability, allowing for reliable measurement of GAK expression levels across different experimental conditions .

What are the potential sources of false positives or false negatives when using FITC-conjugated GAK antibodies, and how can they be mitigated?

Understanding and mitigating sources of false results is crucial for accurate data interpretation when using FITC-conjugated GAK antibodies:

Sources of False Positives and Mitigation Strategies:

SourceMechanismMitigation Strategy
Non-specific bindingFc receptor interactions or hydrophobic bindingUse appropriate blocking sera; include isotype controls; optimize antibody concentration
AutofluorescenceCellular components naturally fluoresce in FITC spectrumInclude unstained controls; use spectral unmixing; consider alternative fluorophores
Cross-reactivityAntibody binds to proteins similar to GAKValidate antibody specificity; use GAK-knockout controls; perform blocking peptide controls
OverfixationExcessive fixation creates artifactual binding sitesOptimize fixation protocols; validate with multiple fixation methods
FITC spectral overlapBleed-through from other fluorophoresPerform compensation; use single-stained controls; consider sequential rather than multiplex staining

Sources of False Negatives and Mitigation Strategies:

SourceMechanismMitigation Strategy
Epitope maskingFixation alters antibody binding siteTest multiple fixation methods; use antigen retrieval techniques
Insufficient permeabilizationAntibody cannot access intracellular GAKOptimize permeabilization protocols for intracellular targets
PhotobleachingFITC signal diminishes with light exposureMinimize light exposure; use antifade mounting media; image promptly after staining
Low GAK expressionTarget protein level below detection limitIncrease antibody concentration; use signal amplification methods; extend exposure times
Suboptimal F/P ratioToo few or too many FITC molecules per antibodyUse optimal conjugates with F/P ratios of 2-5; separate optimally labeled antibodies using chromatography

How can researchers correlate GAK protein expression detected by FITC-conjugated antibodies with functional cellular phenotypes?

Correlating GAK protein expression with functional cellular phenotypes requires integrative experimental approaches that connect visualization data with biological functions:

  • Co-localization Studies:

    • Perform dual immunofluorescence with FITC-conjugated GAK antibodies and markers for specific cellular compartments or interacting proteins

    • Quantify Pearson's correlation coefficient or Manders' overlap coefficient to measure the degree of co-localization

    • Analyze changes in co-localization patterns under different experimental conditions

  • Expression-Function Correlation Approaches:

    • Cell Sorting Based on GAK Expression:

      • Use FITC-conjugated GAK antibodies to sort cells into high and low GAK-expressing populations

      • Compare functional parameters between populations (proliferation, migration, drug response)

    • Time-Course Analysis:

      • Monitor GAK expression and cellular phenotypes at multiple time points

      • Establish temporal relationships between changes in GAK levels and functional outcomes

    • Dose-Response Relationships:

      • Modulate GAK expression using genetic approaches (siRNA, CRISPR, overexpression)

      • Quantify the relationship between GAK expression levels and phenotypic readouts

  • Integration with Molecular Techniques:

    • Combine GAK immunofluorescence with functional assays:

      • Proliferation (BrdU incorporation, Ki-67 staining)

      • Cell cycle analysis (DNA content measurement, cyclin expression)

      • Apoptosis (Annexin V, TUNEL assay)

    • Correlate with signaling pathway activities:

      • Phosphorylation states of downstream targets

      • Transcriptional reporter assays

  • Contextual Analysis:

    • Evaluate GAK expression in different cellular contexts:

      • Normal versus disease states

      • Different cell cycle phases

      • Various tissue microenvironments

How can FITC-conjugated GAK antibodies be used in multiplex immunofluorescence studies to investigate cell cycle regulation pathways?

Multiplex immunofluorescence with FITC-conjugated GAK antibodies enables comprehensive visualization of cell cycle regulation networks:

Methodological Approach:

  • Panel Design for Cell Cycle Studies:

    • GAK-FITC (green): Detecting GAK protein

    • Cyclin G (different fluorophore, e.g., Cy3): GAK's known interaction partner

    • CDK5 (different fluorophore, e.g., Cy5): Co-immunoprecipitates with GAK

    • Cell cycle phase markers (e.g., Ki-67, PCNA, phospho-Histone H3)

    • Nuclear counterstain (DAPI)

  • Optimized Staining Protocols:

    • Sequential staining: Apply antibodies in order of decreasing sensitivity

    • Tyramide signal amplification: For targets with low expression

    • Multispectral imaging: To separate spectrally overlapping fluorophores

  • Advanced Imaging and Analysis:

    • Confocal microscopy: For high-resolution co-localization studies

    • Live cell imaging: To track GAK dynamics during cell cycle progression

    • Automated image analysis: For quantification of co-localization and expression levels

Application Examples:

  • Cell Cycle Progression Analysis: Track GAK expression and localization changes through G1, S, G2, and M phases, correlating with cyclins and CDKs

  • Interaction Studies: Visualize GAK co-localization with cyclin G at different cell cycle stages

  • Pathway Perturbation: Examine effects of cell cycle inhibitors on GAK distribution and interaction patterns

GAK's significant role in the G1 to S phase transition and its interactions with cyclin G and cyclin-dependent kinases make it an important target for multiplex studies investigating cell cycle regulation mechanisms. The high signal amplification of FITC-conjugated antibodies provides the sensitivity needed to detect potentially subtle changes in GAK expression or localization during different cell cycle phases .

What are the considerations for using FITC-conjugated GAK antibodies in live cell imaging experiments?

Live cell imaging with FITC-conjugated GAK antibodies presents unique challenges and requires specific optimization strategies:

Critical Considerations:

  • Antibody Delivery Methods:

    • Microinjection: Direct introduction of antibodies into cells

    • Cell-penetrating peptide conjugation: Enhances membrane permeability

    • Reversible permeabilization: Using techniques like streptolysin O

    • Electroporation: Temporary pore formation for antibody entry

  • Phototoxicity and Photobleaching Management:

    • Minimize exposure time and light intensity

    • Use low-phototoxicity imaging approaches (e.g., spinning disk confocal)

    • Apply anti-fading agents compatible with live cells

    • Consider intermittent rather than continuous imaging

  • Signal-to-Noise Optimization:

    • Use F/P ratios optimized for live cell applications (typically lower than fixed)

    • Apply denoising algorithms during image processing

    • Optimize detector sensitivity settings

    • Use appropriate background subtraction methods

  • Physiological Considerations:

    • Maintain optimal temperature, pH, and atmospheric conditions

    • Monitor cell viability throughout the experiment

    • Control for potential antibody interference with GAK function

    • Ensure media compatibility with imaging conditions

  • Controls and Validation:

    • Include non-binding FITC-conjugated antibodies as controls

    • Validate observations with fixed-cell experiments

    • Confirm antibody specificity in live cell context

    • Track cell division and morphology to ensure normal function

How can researchers apply FITC-conjugated GAK antibodies in super-resolution microscopy techniques to study subcellular localization?

Super-resolution microscopy with FITC-conjugated GAK antibodies enables visualization of subcellular structures beyond the diffraction limit:

Methodological Considerations by Super-Resolution Technique:

  • Structured Illumination Microscopy (SIM):

    • FITC Properties: Compatible with standard SIM setups

    • Sample Preparation: Standard immunofluorescence protocols with attention to sample thickness

    • Resolution Improvement: ~100-120 nm resolution (2x improvement over conventional microscopy)

    • Advantage: Relatively gentle illumination, suitable for FITC

  • Stimulated Emission Depletion (STED):

    • FITC Considerations: May experience photobleaching; consider adding photostabilizers

    • Optimization: Adjust depletion laser power to balance resolution and photobleaching

    • Resolution Potential: ~30-80 nm resolution

    • Application: Ideal for resolving GAK association with vesicular structures

  • Single-Molecule Localization Microscopy (STORM/PALM):

    • FITC Limitations: Not optimal for blinking behavior; consider alternative labels or specialized buffers

    • Buffer Requirements: Oxygen-scavenging systems with appropriate reducing agents

    • Resolution Capability: ~10-25 nm resolution

    • Data Analysis: Requires specialized reconstruction algorithms

Sample Preparation Optimization:

  • Fixation: Gentle fixation protocols to preserve nanoscale structures

  • Antibody Concentration: Lower concentrations than conventional IF to reduce background

  • Mounting Media: Specialized anti-fade formulations compatible with super-resolution techniques

  • Drift Correction: Include fiducial markers for sample drift compensation

Applications to GAK Biology:

  • Resolving GAK association with clathrin-coated vesicles

  • Visualizing GAK-cyclin G interaction sites at nanoscale resolution

  • Mapping GAK distribution during different cell cycle phases with unprecedented detail

  • Examining co-localization with CDK5 and other interaction partners at the molecular scale

Super-resolution approaches are particularly valuable for studying GAK's subcellular distribution, as they can reveal the precise spatial relationships between GAK and its interaction partners or subcellular compartments that might be obscured in conventional microscopy. This could provide new insights into how GAK functions in cell cycle regulation and other cellular processes .

What are the most common issues encountered when using FITC-conjugated antibodies, and how can they be resolved?

Researchers frequently encounter several technical challenges when working with FITC-conjugated GAK antibodies:

IssuePossible CausesResolution Strategies
High Background Signal- Non-specific binding
- Autofluorescence
- Excessive antibody concentration
- Inadequate blocking
- Optimize blocking (5 mg/mL BSA, serum matching secondary host)
- Increase washing steps duration and number
- Titrate antibody to lower concentration
- Include autofluorescence controls
- Use Sudan Black B to reduce autofluorescence
Weak or No Signal- Epitope denaturation
- Insufficient permeabilization
- Photobleaching
- Low target expression
- Over-fixation
- Optimize fixation (test multiple protocols)
- Enhance permeabilization for intracellular targets
- Use anti-fade mounting media
- Minimize exposure to light
- Test antibody on positive control samples
Photobleaching- Extended light exposure
- Suboptimal mounting media
- Multiple imaging sessions
- High-intensity excitation
- Minimize exposure during sample preparation
- Use specialized anti-fade reagents
- Perform single-session imaging
- Reduce excitation intensity
- Consider alternative fluorophores for repeated imaging
Inconsistent Staining- Heterogeneous sample fixation
- Variable antibody access
- Uneven blocking
- Temperature fluctuations
- Standardize fixation time and conditions
- Ensure consistent permeabilization
- Control temperature during staining
- Use horizontal staining platforms
- Increase antibody incubation time
Cross-Reactivity- Antibody specificity issues
- Secondary antibody cross-reactivity
- Endogenous Fc receptor binding
- Validate antibody with knockout controls
- Perform pre-absorption controls
- Use Fc receptor blocking reagents
- Test antibody specificity against human IgA/IgM

For optimal results with GAK antibodies, storage and handling are critical: store at -20°C, avoid repeated freeze-thaw cycles, and protect from light to preserve FITC fluorescence. These precautions help maintain the integrity of both the antibody binding capacity and the fluorophore activity .

How does the fluorescein-to-protein (F/P) ratio affect the performance of FITC-conjugated GAK antibodies, and how can researchers optimize this parameter?

The fluorescein-to-protein (F/P) ratio is a critical parameter that significantly impacts the performance of FITC-conjugated GAK antibodies:

Impact of F/P Ratio on Antibody Performance:

F/P RatioPerformance CharacteristicsOptimal Applications
Low (<2)- Reduced sensitivity
- High specificity
- Minimal self-quenching
- Better preservation of antibody activity
- Applications requiring high specificity
- Multiplex staining
- Live cell imaging
Moderate (2-5)- Balanced sensitivity and specificity
- Optimal signal-to-noise ratio
- Minimal impact on antibody function
- Most standard applications
- Flow cytometry
- Routine immunofluorescence
High (>5)- Increased sensitivity
- Potential reduction in specificity
- Self-quenching effects
- Possible altered antibody binding
- Detection of low-abundance targets
- Applications requiring high sensitivity
- Single-molecule detection

Optimization Strategies:

  • Controlling Conjugation Reaction:

    • Adjust FITC:antibody molar ratio during conjugation

    • Control reaction conditions (pH, time, temperature)

    • Purify starting IgG using DEAE Sephadex chromatography

    • Use high-quality FITC reagents

  • Post-Conjugation Purification:

    • Apply gradient DEAE Sephadex chromatography to separate optimally labeled antibodies

    • Use gel filtration to remove free FITC

    • Fractionate conjugated antibodies based on charge/labeling ratio

  • Characterization and Selection:

    • Measure absorbance at 280 nm (protein) and 495 nm (FITC)

    • Calculate F/P ratio using the formula: F/P = (A495 × dilution factor) / (A280 - 0.35 × A495) × 0.41

    • Select fractions with optimal F/P ratios for specific applications

  • Validation and Testing:

    • Compare performance of different F/P ratio fractions in your specific application

    • Evaluate signal-to-noise ratio and specificity

    • Test the impact on antigen-binding capacity

Research has shown that electrophoretically distinct IgG molecules have similar affinity for FITC, suggesting that optimization should focus on reaction conditions rather than antibody subtype selection. Additionally, there is a correlation between the activity of antibodies in fluorescent techniques and precipitation assays, indicating that well-preserved antibody function correlates with optimal performance in fluorescence applications .

What are the best practices for long-term storage and handling of FITC-conjugated GAK antibodies to maintain optimal performance?

Proper storage and handling of FITC-conjugated GAK antibodies is essential for maintaining their functionality and fluorescence properties over time:

Storage Conditions and Stability:

Storage ParameterRecommended PracticeRationale
Temperature-20°C for long-term storageMinimizes protein degradation and preserves fluorophore activity
Formulation0.01 M PBS (pH 7.4) with 5 mg/mL BSA and 50% glycerolPrevents freeze-thaw damage and stabilizes protein structure
Light ExposureProtect from light using amber vials or aluminum foil wrappingPrevents photobleaching of FITC fluorophore
AliquotingPrepare single-use aliquots upon receiptMinimizes freeze-thaw cycles and prevents contamination
Freeze-Thaw CyclesAvoid repeated freezing and thawingPrevents protein denaturation and fluorophore degradation

Handling Best Practices:

  • Working Solution Preparation:

    • Thaw aliquots rapidly at room temperature or 37°C

    • Mix gently by flicking or rotating, avoid vortexing

    • Centrifuge briefly to collect content at the bottom

    • Prepare dilutions immediately before use in appropriate buffers

  • During Experimental Procedures:

    • Keep on ice when in use

    • Minimize exposure to light using dark containers

    • Return to -20°C promptly after use

    • Use low-retention tubes to prevent antibody loss

  • Quality Control:

    • Periodically test antibody performance on control samples

    • Monitor for changes in signal intensity or background

    • Check for precipitation or visible color changes

    • Document lot numbers and performance characteristics

  • Reconstitution (if lyophilized):

    • Use sterile buffers at recommended volumes

    • Allow complete dissolution before use

    • Avoid introducing bubbles or excessive agitation

  • Documentation:

    • Maintain records of receipt date, aliquoting, and usage

    • Note any anomalies in performance

    • Track number of freeze-thaw cycles

Following these storage and handling guidelines is essential for maintaining the optimal performance of FITC-conjugated GAK antibodies over time. Proper storage preserves both the antibody's ability to specifically recognize GAK protein and the FITC molecule's fluorescent properties, ensuring consistent and reliable results in research applications .

How can FITC-conjugated GAK antibodies be utilized in studying GAK's role in neurodegenerative diseases?

Recent research has highlighted GAK's potential involvement in neurodegenerative processes, opening new avenues for FITC-conjugated GAK antibody applications:

Methodological Approaches:

  • Neuropathological Profiling:

    • Use FITC-conjugated GAK antibodies to map expression patterns in human brain tissue sections

    • Compare GAK distribution in healthy vs. diseased brain regions

    • Perform co-localization studies with markers of neurodegeneration (tau, α-synuclein, Aβ)

    • Quantify GAK levels in different neuronal and glial populations

  • Neuronal Culture Applications:

    • Visualize GAK dynamics in primary neuronal cultures

    • Track GAK localization during neuronal development and degeneration

    • Monitor GAK expression changes in response to neurotoxic stimuli

    • Examine GAK-positive vesicular trafficking in neuronal processes

  • Animal Model Investigations:

    • Analyze GAK expression in transgenic models of neurodegenerative diseases

    • Perform in vivo imaging of GAK in accessible neural tissues

    • Correlate GAK distribution with disease progression markers

    • Evaluate GAK expression changes following therapeutic interventions

Emerging Research Directions:

  • Synaptic Function: GAK's role in clathrin-mediated endocytosis suggests involvement in synaptic vesicle recycling and neurotransmission

  • Protein Aggregation: Potential interactions between GAK and pathological protein aggregates in neurodegenerative diseases

  • Autophagy Regulation: GAK's involvement in autophagy pathways that clear misfolded proteins

  • Inflammation Modulation: Possible roles in neuroinflammatory processes associated with neurodegeneration

The high sensitivity and specificity of FITC-conjugated GAK antibodies make them valuable tools for studying these emerging aspects of GAK biology in neurological contexts, potentially contributing to our understanding of conditions like Alzheimer's and Parkinson's diseases .

What are the current limitations of FITC-conjugated antibodies for GAK research, and what alternative approaches are being developed?

Despite their utility, FITC-conjugated GAK antibodies face several limitations that researchers are addressing through alternative approaches:

Current Limitations and Alternative Solutions:

LimitationMechanismAlternative Approaches
PhotobleachingFITC's susceptibility to light-induced degradation- Quantum dots with higher photostability
- Newer generation fluorophores (Alexa Fluor 488)
- Reversibly photoswitchable fluorescent proteins
- Enzyme-mediated fluorophore regeneration systems
pH SensitivityFITC fluorescence diminishes below pH 7- pH-insensitive fluorophores (DyLight 488)
- Ratiometric dual-labeled antibodies
- Environment-insensitive fluorescent proteins
- Chemical stabilization of FITC derivatives
Spectral LimitationsFITC's broad emission spectrum limits multiplexing- Narrow-spectrum quantum dots
- Spectral unmixing algorithms
- Sequential staining protocols
- Mass cytometry (CyTOF) for high-dimensional analysis
Penetration DepthLimited tissue penetration in thick specimens- Near-infrared fluorophores
- Two-photon excitation microscopy
- Tissue clearing techniques
- Antibody fragment-based approaches
Antibody SizeFull IgG size limits access to dense structures- Single-domain antibodies (nanobodies)
- Aptamer-based detection
- Small recombinant binding proteins
- Peptide mimetics with GAK specificity

Emerging Technologies:

  • Genetic Tagging Approaches:

    • CRISPR-mediated endogenous GAK tagging with fluorescent proteins

    • Split-GFP complementation for studying GAK interactions

    • Self-labeling protein tags (SNAP, CLIP, Halo) for pulse-chase studies

  • Hybrid Detection Methods:

    • Proximity ligation assay for visualizing GAK interactions

    • Click chemistry-based protein labeling methods

    • Enzyme-linked fluorescence amplification techniques

  • Advanced Imaging Modalities:

    • Light sheet microscopy for rapid 3D imaging of GAK distribution

    • Lattice light-sheet microscopy for high-speed live cell imaging

    • Expansion microscopy for physical magnification of specimens

These alternative approaches are expanding the capabilities for studying GAK biology beyond what is possible with traditional FITC-conjugated antibodies, enabling new insights into GAK's roles in cellular processes and disease mechanisms .

How might FITC-conjugated GAK antibodies contribute to therapeutic development targeting cell cycle dysregulation in cancer?

FITC-conjugated GAK antibodies can play pivotal roles in cancer therapeutic development through several research applications:

Therapeutic Research Applications:

  • Target Validation and Expression Profiling:

    • Screen cancer cell lines and patient-derived samples for GAK expression patterns

    • Correlate GAK levels with cancer progression and treatment resistance

    • Identify cancer types with GAK dysregulation as potential therapeutic targets

    • Track changes in GAK expression following experimental treatments

  • High-Content Screening Platforms:

    • Develop automated imaging assays using FITC-GAK antibodies

    • Screen compound libraries for modulators of GAK expression or localization

    • Identify drugs that affect GAK-dependent cell cycle regulation

    • Quantify treatment effects on GAK-associated pathways

  • Mechanism of Action Studies:

    • Visualize GAK redistribution following treatment with cell cycle inhibitors

    • Track changes in GAK-cyclin G interactions during drug response

    • Monitor alterations in GAK phosphorylation status and activity

    • Correlate cellular responses with GAK expression patterns

  • Companion Diagnostic Development:

    • Establish immunofluorescence protocols for patient sample analysis

    • Develop standardized GAK quantification methods for clinical applications

    • Correlate GAK expression with treatment outcomes

    • Identify patient subgroups likely to respond to GAK-targeting therapies

Therapeutic Strategies Being Explored:

  • Direct GAK Targeting: Development of small molecule inhibitors of GAK kinase activity

  • Synthetic Lethality: Identifying cellular contexts where GAK inhibition selectively affects cancer cells

  • Combination Approaches: Using GAK inhibition to sensitize cells to conventional chemotherapies

  • Cell Cycle Checkpoint Modulation: Leveraging GAK's role in G1/S transition to enhance cell cycle-targeted therapies

GAK's crucial involvement in cell cycle regulation through its interaction with cyclin G and cyclin-dependent kinases makes it a promising target for cancer therapeutics. FITC-conjugated GAK antibodies provide the visualization tools needed to understand these complex interactions and develop effective intervention strategies .

What are the key considerations for researchers when selecting and applying FITC-conjugated GAK antibodies in their experimental workflows?

When incorporating FITC-conjugated GAK antibodies into experimental workflows, researchers should carefully consider several critical factors to ensure reliable and meaningful results:

  • Experimental Design and Controls:

    • Include comprehensive controls (positive, negative, isotype, autofluorescence)

    • Design experiments with appropriate replication and statistical power

    • Consider temporal aspects of GAK biology when planning experiments

    • Incorporate multiple detection methods for validation of key findings

  • Technical Parameters:

    • Select antibodies with optimal F/P ratios (typically 2-5) for balanced sensitivity and specificity

    • Consider photobleaching limitations in experimental design

    • Account for FITC's pH sensitivity in experimental buffers

    • Optimize fixation and permeabilization protocols for GAK detection

  • Application-Specific Considerations:

    • For flow cytometry: Ensure proper compensation and gating strategies

    • For microscopy: Select appropriate optical filters and imaging parameters

    • For multiplexing: Consider spectral overlap with other fluorophores

    • For quantitative analysis: Establish standardized measurement protocols

  • Biological Context:

    • Account for GAK's dynamic expression during cell cycle progression

    • Consider tissue-specific or cell-type-specific expression patterns

    • Recognize potential interactions with cyclins and CDKs that may affect detection

    • Interpret results in the context of GAK's known biological functions

By systematically addressing these considerations, researchers can maximize the value of FITC-conjugated GAK antibodies in their studies of cell cycle regulation, vesicular trafficking, and related cellular processes, ultimately advancing our understanding of GAK's roles in normal physiology and disease states .

How can researchers integrate findings from GAK antibody-based fluorescence studies with other molecular and cellular techniques to build comprehensive models of GAK function?

Building comprehensive models of GAK function requires integration of fluorescence-based observations with complementary techniques:

Multi-dimensional Data Integration Framework:

  • Structural-Functional Correlations:

    • Link FITC-GAK antibody localization data with:

      • X-ray crystallography or cryo-EM structural information

      • Protein domain function mapping through mutagenesis

      • Molecular dynamics simulations of GAK interactions

    • Outcome: Three-dimensional models of GAK function in cellular contexts

  • Temporal-Spatial Integration:

    • Combine time-resolved GAK imaging data with:

      • Cell cycle synchronization experiments

      • Live cell reporters of cyclin activity

      • Computational modeling of cell cycle kinetics

    • Outcome: Dynamic models of GAK behavior during cell cycle progression

  • Genomic-Proteomic Correlation:

    • Integrate GAK expression patterns with:

      • Transcriptomic profiles (RNA-seq, microarray)

      • Proteomic analyses (mass spectrometry)

      • Post-translational modification mapping

    • Outcome: Multi-omic models of GAK regulation networks

  • Functional Validation Approaches:

    • Complement imaging studies with:

      • Genetic perturbation (CRISPR, RNAi)

      • Biochemical assays (kinase activity, binding assays)

      • Cellular phenotyping (proliferation, migration, division)

    • Outcome: Validated models of GAK's cellular functions

Data Integration Methods:

  • Computational Integration: Machine learning approaches to find patterns across diverse datasets

  • Systems Biology Modeling: Mathematical modeling of GAK-involved pathways

  • Visual Analytics: Interactive visualization tools for multi-parameter data exploration

  • Database Integration: Deposition of standardized results in public repositories

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