The antibody is generated using synthetic phosphopeptides corresponding to residues surrounding Ser308 of human GATA3. These peptides are used to immunize mice or transfect recombinant DNA into expression systems (e.g., HEK293 cells), ensuring specificity for the phosphorylated epitope .
T-Cell Differentiation:
Cancer Biology:
Functional Validation:
Vendor | Clone | Reactivity | Key Applications | Price (USD) |
---|---|---|---|---|
Bioss | N/A | Human, Mouse, Rat | WB, IHC-P | ~$210 |
Cosmo Bio USA | Clone 1E5 | Human | WB, IHC, ELISA | ~$210 |
Abcam | EPR18118 | Human, Mouse, Rat | WB, IHC, IP, Dot Blot | ~$300 |
Invitrogen | ARC1560 | Human | WB, IHC | ~$526 |
CUSABIO engineered a plasmid containing the phospho-GATA3 (S308) monoclonal antibody DNA sequence, which was then transfected into a cell line for expression. Immunizing mice with the synthetic phospho-peptide corresponding to residues surrounding Ser 308 of human GATA3 yielded the phospho-GATA3 (S308) monoclonal antibody. Subsequent affinity chromatography purification of the product led to the isolation of the recombinant phospho-GATA3 (S308) monoclonal antibody. It is a rabbit IgG antibody. This phospho-GATA3 (S308) antibody has been subjected to rigorous quality testing using ELISA, WB, and IHC techniques. It demonstrates reactivity with human samples. This anti-pSer308-GATA3 antibody can be effectively employed to elucidate the functional role of GATA3 phosphorylation.
GATA3, primarily expressed in T lymphocytes, plays a pivotal role in both early thymic T-cell development and the functional differentiation of naive CD4 T cells into Th2 cells. Numerous studies have identified GATA3, a T-cell transcription factor, as a key influencer in Th2 T-cell development. Moreover, it is implicated in mammary gland development and the maintenance of the differentiated state of luminal epithelial cells. The activity of GATA3 is subject to regulation by posttranslational modifications, the proteasome pathway, and phosphorylation. Notably, phosphorylation of GATA3 at Ser308 has been previously utilized as a marker of proteasomal turnover in ER-positive breast cancer cells.
GATA3 is a transcriptional activator that binds to the enhancer of the T-cell receptor alpha and delta genes. It recognizes the consensus sequence 5'-AGATAG-3'. GATA3 is essential for the T-helper 2 (Th2) differentiation process, which occurs following immune and inflammatory responses. It positively regulates the expression of ASB2.
Phosphorylation of GATA3 at Serine 308 serves as a key regulatory mechanism affecting its transcriptional activity and protein stability. This post-translational modification has significant implications for T-cell development and differentiation pathways. GATA3 phosphorylation at S308 has been established as a marker of proteasomal turnover specifically in ER-positive breast cancer cells . This phosphorylation event alters GATA3 activity, influencing its role in coordinating macrophage transcriptional activation and UCP2-dependent metabolic reprogramming in response to IL33 signaling . Furthermore, phosphorylation at this residue appears to modulate GATA3's function in driving the differentiation of inflammation-resolving alternatively activated macrophages following tissue injury .
Phospho-GATA3 (S308) recombinant monoclonal antibodies demonstrate versatility across multiple experimental applications:
These applications allow researchers to investigate GATA3 phosphorylation in various experimental contexts, from protein expression analysis to cellular localization studies .
Phospho-GATA3 (S308) antibodies have been validated for reactivity with multiple species:
This multi-species reactivity makes these antibodies valuable for comparative studies across experimental models, though researchers should verify reactivity when using new sample types or experimental conditions .
For optimal Western blot results with Phospho-GATA3 (S308) antibodies, implement the following protocol adjustments:
Sample preparation: Use phosphatase inhibitors in lysis buffers to preserve phosphorylation status
Blocking conditions: Employ 5% non-fat dry milk (NFDM) in TBST as recommended blocking buffer
Antibody dilution: Start with 1:1000 dilution for initial optimization, then adjust based on signal intensity (recommended range 1:500-1:10000)
Positive controls: Include samples known to express phosphorylated GATA3, such as Jurkat cells treated with 8-Bromo-cAMP
Loading controls: Use appropriate housekeeping proteins that won't interfere with phosphorylated protein detection
These optimization steps ensure specific detection of phosphorylated GATA3 while minimizing background signal and false positives .
Proper storage is essential for preserving antibody functionality:
For carrier-free formulations (BSA and azide-free), additional stabilizing agents may be necessary for prolonged storage
Following these storage recommendations ensures antibody integrity and consistent experimental performance over time .
GATA3 is essential for T-helper 2 (Th2) cell differentiation, and its phosphorylation status affects this process. Researchers can employ these advanced methodologies:
Time-course experiments: Monitor phosphorylation changes during T-cell activation using flow cytometry and Western blotting
Cytokine stimulation studies: Examine how IL-4, IL-33, and other Th2-promoting cytokines affect GATA3 phosphorylation
Knockin/knockout approach: Compare wild-type GATA3 with phospho-mutants (S308A) to assess functional consequences
ChIP-seq analysis: Determine how S308 phosphorylation affects GATA3 binding to target genes using the antibody for chromatin immunoprecipitation
Single-cell analysis: Combine phospho-GATA3 detection with other markers to identify cellular subpopulations
These approaches can reveal how GATA3 phosphorylation contributes to T-cell lineage commitment and function in immune responses .
GATA3 phosphorylation at S308 is regulated through multiple mechanisms:
Regulatory Mechanism | Experimental Approach | Expected Outcome |
---|---|---|
p38 MAPK pathway | Inhibitor studies (SB203580) | Decreased S308 phosphorylation |
PKA signaling | cAMP analogs (8-Bromo-cAMP) | Enhanced phosphorylation |
Protein phosphatases | Phosphatase inhibitors | Sustained phosphorylation |
Proteasomal degradation | Proteasome inhibitors (MG132) | Accumulation of phosphorylated GATA3 |
For comprehensive analysis, researchers should combine these approaches with time-course studies and quantitative Western blotting or ELISA to measure phosphorylation dynamics. Additionally, mass spectrometry can identify other phosphorylation sites that may cross-talk with S308 .
In ER-positive breast cancer cells, GATA3 phosphorylation at S308 functions as a marker of proteasomal turnover . This phosphorylation event has significant implications for breast cancer biology:
Correlation with tumor progression: Immunohistochemistry using phospho-specific antibodies can reveal associations between phosphorylation status and clinical outcomes
Estrogen signaling: Experiments combining estrogen treatment with phospho-GATA3 detection can elucidate regulatory mechanisms
Therapeutic response: Monitoring phospho-GATA3 levels during treatment with proteasome inhibitors or hormone therapies may predict response
Transcriptional programming: RNA-seq analysis following modulation of GATA3 phosphorylation can identify downstream gene targets
Metastatic potential: Investigation of phospho-GATA3 in primary versus metastatic samples may reveal its role in disease progression
These research approaches can determine whether targeting GATA3 phosphorylation might offer therapeutic opportunities in breast cancer treatment .
When working with Phospho-GATA3 (S308) antibodies, researchers should be aware of these potential issues:
Cross-reactivity concerns: The immunogen sequence for this antibody is identical to the sequence around S340 of GATA2, although phosphorylation at this site has not been reported . Include appropriate negative controls to ensure specificity.
Phosphorylation preservation: Phosphorylation can be lost during sample preparation. Always use fresh phosphatase inhibitors in lysis buffers and handle samples at 4°C.
Antibody specificity verification: Validate specificity using:
Phosphatase treatment controls
Peptide competition assays
Phospho-null mutants (S308A)
Signal optimization: For weak signals:
Increase antibody concentration gradually
Extend incubation time
Use signal enhancement systems like biotin-streptavidin
Background reduction: If high background occurs:
Try alternative blocking buffers (5% BSA instead of milk)
Increase washing time and volume
Reduce primary antibody concentration
These approaches ensure reliable, reproducible results when investigating GATA3 phosphorylation .
For quantitative analysis of GATA3 phosphorylation:
Western blot quantification:
Use total GATA3 antibody in parallel for normalization
Apply densitometry analysis with appropriate software
Include standard curves with recombinant phosphorylated protein
Flow cytometry approach:
Perform dual staining with total and phospho-specific antibodies
Calculate phosphorylation index as ratio of phospho/total signal
Include appropriate isotype controls
ELISA-based methods:
Develop sandwich ELISA with capture/detection antibody pairs
Create standard curves using recombinant proteins
Calculate phosphorylation ratios across experimental conditions
Mass spectrometry:
Perform immunoprecipitation with total GATA3 antibody
Analyze phosphopeptides by LC-MS/MS
Quantify phosphorylation stoichiometry
These quantitative approaches provide robust data for comparing GATA3 phosphorylation across experimental conditions .
Single-cell technologies offer powerful approaches for examining GATA3 phosphorylation heterogeneity:
Single-cell phospho-flow cytometry:
Combine phospho-GATA3 (S308) detection with lineage markers
Identify cell subpopulations with distinct phosphorylation states
Correlate with functional outcomes
Mass cytometry (CyTOF):
Develop metal-conjugated phospho-GATA3 antibodies
Simultaneously measure multiple phosphorylation sites
Create high-dimensional datasets to identify cellular states
Imaging mass cytometry:
Visualize spatial distribution of phosphorylated GATA3 in tissues
Correlate with microenvironmental factors
Single-cell RNA-seq integration:
Combine phospho-protein detection with transcriptomic analysis
Identify gene expression signatures associated with phosphorylation states
These approaches can reveal how heterogeneous GATA3 phosphorylation contributes to cellular diversity in immune responses and cancer .
GATA3 coordinates macrophage transcriptional activation and metabolic reprogramming in response to IL33, with phosphorylation potentially modulating this activity . To investigate this relationship:
Macrophage differentiation models:
Monitor phospho-GATA3 levels during M1/M2 polarization
Compare phosphorylation in tissue-resident versus inflammatory macrophages
Assess how IL-33 signaling affects phosphorylation kinetics
Functional consequences:
Express phospho-mimetic (S308D) or phospho-null (S308A) GATA3 mutants
Measure impact on UCP2 expression and metabolic parameters
Assess effects on anti-inflammatory cytokine production
In vivo relevance:
Examine phospho-GATA3 in tissue injury and resolution models
Correlate with macrophage phenotypic markers
Assess impact of phosphorylation inhibitors on inflammation resolution
These investigations could reveal how GATA3 phosphorylation serves as a molecular switch in macrophage functional programming during inflammation and tissue repair .
GATA3 undergoes multiple post-translational modifications that collectively regulate its function:
Modification | Site | Functional Impact | Relationship to S308 Phosphorylation |
---|---|---|---|
Phosphorylation | S308 | Proteasomal turnover, activity regulation | - |
Acetylation | K305 | Enhances DNA binding | Potential cross-talk due to proximity |
SUMOylation | K156 | Alters transcriptional activity | May affect stability independently |
Ubiquitination | Multiple | Targets for degradation | Likely regulated by S308 phosphorylation |
Methylation | R261 | Modulates protein interactions | Unknown relationship |
Researchers can investigate these relationships through:
Sequential immunoprecipitation with modification-specific antibodies
Mass spectrometry to identify modification patterns
Mutational studies examining how one modification affects others
This integrated approach provides a comprehensive understanding of GATA3 regulation in different cellular contexts .
Computational methods enhance the value of experimental phospho-GATA3 data:
Structural modeling:
Predict how S308 phosphorylation affects protein conformation
Model interactions with DNA and protein partners
Simulate dynamic changes in protein structure
Systems biology approaches:
Integrate phosphorylation data into signaling network models
Predict downstream effects using pathway analysis
Model temporal dynamics of phosphorylation/dephosphorylation
Machine learning applications:
Develop pattern recognition algorithms for image analysis
Create predictive models for phosphorylation based on cellular context
Identify biomarker signatures incorporating phospho-GATA3 data
Multi-omics integration:
Correlate phosphorylation status with transcriptomic, proteomic, and metabolomic data
Construct regulatory networks with phospho-GATA3 as a node
These computational strategies extend the utility of experimental data and generate hypotheses for further investigation .
Several manufacturers produce Phospho-GATA3 (S308) antibodies with distinct characteristics:
When selecting between these options, researchers should consider:
The specific application requirements
Whether conjugation to reporters is needed
The experimental model system
The degree of validation required for their research
Each antibody may perform differently in specific applications, so preliminary validation is recommended .
Thorough validation of phospho-specificity is crucial:
Peptide competition assays:
Pre-incubate antibody with phosphorylated and non-phosphorylated peptides
Only phospho-peptides should block specific binding
Phosphatase treatment:
Treat one sample set with lambda phosphatase
Signal should disappear in treated samples
Genetic validation:
Express wild-type GATA3 versus S308A mutant
No signal should be detected with the S308A mutant
Stimulus-response validation:
Treat cells with stimuli known to induce phosphorylation (e.g., 8-Bromo-cAMP)
Signal should increase in treated samples
Western blot migration patterns:
Phosphorylated proteins often show mobility shifts
Confirm band identity through multiple approaches
These validation steps ensure experimental results accurately reflect GATA3 phosphorylation status rather than non-specific binding .
Multiplexed imaging technologies offer powerful ways to study GATA3 phosphorylation in spatial context:
Multiplex immunofluorescence:
Combine phospho-GATA3 with lineage markers and other phospho-proteins
Use spectral unmixing to separate fluorophores
Apply tissue clearing techniques for 3D imaging
Mass spectrometry imaging:
Utilize metal-tagged antibodies for spatial proteomics
Achieve subcellular resolution of phosphorylation patterns
Correlate with tissue architecture
Cyclic immunofluorescence:
Perform sequential staining/stripping cycles
Build high-parameter datasets within the same tissue section
Create spatial maps of signaling networks
In situ proximity ligation assay:
Detect phospho-GATA3 interactions with other proteins
Visualize subcellular localization of interaction events
Quantify interaction frequency across cell populations
These approaches reveal not just whether GATA3 is phosphorylated but also its spatial relationships with other cellular components .
Understanding GATA3 phosphorylation mechanisms opens new therapeutic possibilities:
Targeted inhibition approaches:
Design small molecules targeting kinases that phosphorylate S308
Develop peptide inhibitors that prevent phosphorylation
Create proteolysis-targeting chimeras (PROTACs) specific for phospho-GATA3
Diagnostic applications:
Develop phospho-GATA3 detection in liquid biopsies
Create companion diagnostics for breast cancer treatments
Establish prognostic scoring systems incorporating phosphorylation status
Immunotherapy connections:
Investigate how T-cell GATA3 phosphorylation affects immunotherapy response
Explore manipulation of GATA3 phosphorylation to enhance anti-tumor immunity
Study macrophage reprogramming through GATA3 phosphorylation modulation
Cell-based therapeutics:
Engineer T-cells with phospho-mimetic or phospho-null GATA3 for enhanced function
Modify regulatory T-cells through GATA3 phosphorylation manipulation