TSC22D3 antibodies target the glucocorticoid-induced leucine zipper (GILZ) protein encoded by the TSC22D3 gene. This protein plays critical roles in anti-inflammatory responses, immunosuppression, and tumor microenvironment regulation by interacting with signaling pathways such as NF-κB, AP-1, and p53 . Antibodies against TSC22D3 are essential for studying its expression in diseases like acute myeloid leukemia (AML) and inflammatory disorders .
In AML research, TSC22D3 antibodies validated that knockdown of TSC22D3 reduces cell proliferation and enhances chemosensitivity to cytarabine (Ara-c) by upregulating p53 and arresting the cell cycle .
Proteintech’s recombinant antibody (83967-1-PBS) has been used in cytokine profiling to study immune checkpoint correlations, revealing that high TSC22D3 expression correlates with PD-1 and CTLA-4 levels in AML .
Antibody-based assays demonstrated that TSC22D3 suppresses M1 macrophage polarization by inhibiting NF-κB/NLRP3 signaling, thereby creating an immunosuppressive tumor microenvironment .
Flow cytometry using these antibodies confirmed that TSC22D3-deficient AML cells increase pro-inflammatory cytokines like TNF-α and reduce anti-inflammatory markers like CD206 .
Cell Cycle Regulation: Western blotting with clone 3A5 showed that TSC22D3 knockdown elevates p53 protein levels, linking it to G1/S phase arrest .
Drug Sensitivity: ELISA-based studies using Proteintech’s antibody revealed that TSC22D3 inhibition lowers the EC50 of Ara-c in AML cells by 40% .
In Vivo Models: Xenograft studies utilizing these antibodies demonstrated reduced tumor growth and immune infiltration in TSC22D3-knockout models .
TSC22D3 antibodies have identified the protein as a prognostic biomarker in AML, with high expression correlating with poor survival (8-year OS: 22% vs. 45% in low-expression cohorts) . Therapeutic targeting of TSC22D3 could reverse immunosuppression and enhance chemotherapy efficacy, as shown in pre-clinical models .
TSC22D3 (TSC22 Domain Family Member 3) is a leucine zipper protein functioning as a transcriptional regulator. In humans, the canonical protein has 134 amino acid residues with a mass of 14.8 kDa, localizing in both nucleus and cytoplasm . Its significance stems from:
Role in anti-inflammatory and immunosuppressive pathways
Function as a glucocorticoid-responsive gene
Potential as a prognostic biomarker, particularly in AML
Involvement in multiple signaling pathways including NF-κB
TSC22D3 is also known by several synonyms: DSIPI, GILZ (Glucocorticoid-Induced Leucine Zipper), TSC-22R, DIP, and others . The protein is reported to be expressed in brain, lung, spleen, and skeletal muscle, with expression strongly induced by glucocorticoids and IL-10 .
TSC22D3 antibodies have been validated for multiple research applications, as summarized in the table below:
Methodological validation should include:
Western blot validation: Verify single band at expected molecular weight (~14.8 kDa for canonical form, but note potential isoforms)
Positive control tissues/cells: Brain, lung, spleen, and skeletal muscle express detectable levels of TSC22D3
Induction validation: Treatment with dexamethasone (55 μg/100g body weight) significantly increases TSC22D3 expression (3-4 hours before sample collection)
Knockout/knockdown controls: Verify antibody specificity using TSC22D3 knockdown samples as done in AML cell studies
Cross-reactivity testing: Important especially when working with orthologs in mouse, rat, bovine, or other species
Epitope mapping: Different antibodies target distinct regions (AA 1-137, AA 1-97, AA 58-134, etc.), affecting detection of specific isoforms
Selection criteria should be based on:
Target species reactivity: Confirm antibody reactivity with your species of interest (human, mouse, rat)
Isoform specificity: TSC22D3 has up to 3 reported isoforms; select antibodies targeting relevant domains
Application compatibility: Verify validation for your specific application (WB, IHC, IF, etc.)
Epitope location: Antibodies targeting different regions (N-terminal vs C-terminal) may give different results
Host species considerations: Choose based on compatibility with other antibodies in multi-color experiments
Clonality: Monoclonal antibodies offer higher specificity; polyclonal antibodies may provide stronger signals
When investigating TSC22D3's immunoregulatory functions, consider these methodological approaches:
Induction protocols: TSC22D3 expression is strongly induced by:
Inhibition experiments: Type 1 interferon (IFN-α) suppresses TSC22D3 expression and reduces GR binding at regulatory regions
Cell-specific analysis: TSC22D3 has differential effects across immune cell populations:
Pathway analysis: Focus on known interaction pathways:
Checkpoint molecule co-analysis: TSC22D3 expression significantly correlates with:
Recent research identifies TSC22D3 as an immune-related prognostic biomarker in AML with significant methodological implications:
| Finding | Methodological Approach | Antibody Application |
|---|---|---|
| High TSC22D3 correlates with poor survival | Kaplan-Meier survival analysis with stratification by TSC22D3 expression | IHC or flow cytometry for patient stratification |
| Expression increases with cytogenetic risk class | RT-qPCR and western blot analysis across risk groups | Western blot for quantitative expression analysis |
| Knockdown attenuates proliferation | shTSC22D3 vector transfection in Hel cells | Western blot to confirm knockdown efficiency |
| Increases drug sensitivity | Cytarabine (Ara-c) treatment in knockdown cells | IHC/IF for monitoring treatment response |
| Alters macrophage polarization | Co-culture of tumor cells with M0 macrophages | Flow cytometry for M1/M2 markers |
| Inhibits NF-κB/NLRP3 pathway | Gene set enrichment analysis (GSEA) | ChIP for studying pathway regulation |
Research findings demonstrate that TSC22D3-deficient AML cells show reduced proliferation rate and tumor invasion in mouse cell-derived xenograft (CDX) models, suggesting therapeutic potential in targeting this pathway .
For studying TSC22D3's role in transcriptional regulation, optimize ChIP experiments with these methodological considerations:
Binding site identification: Recent research identified multiple overlapping binding sites for STAT1 and GR in TSC22D3 locus:
Protocol optimization:
Target regions:
Controls:
When facing inconsistent results, implement these systematic troubleshooting steps:
Isoform verification: Confirm which of the 3 reported isoforms your antibody detects:
Expression induction:
Signal interference assessment:
Technical optimization:
Based on published methodologies, design your gene manipulation studies with these considerations:
Knockout model creation:
Knockdown approach:
Functional assessment:
In vivo validation:
Controls:
Based on published methodologies, the following buffer systems enhance antibody performance:
Western blot protocols:
Immunohistochemistry:
Fixation: Formalin-fixed paraffin-embedded or frozen sections
Antigen retrieval: Citrate buffer (pH 6.0) heat-induced retrieval
Blocking: 5% serum from host species of secondary antibody
Immunofluorescence:
Flow cytometry:
For accurate quantification of TSC22D3, employ these methodological approaches:
Western blot densitometry:
RT-qPCR:
ELISA quantification:
Flow cytometry:
Mean fluorescence intensity measurement
Inclusion of calibration beads for standardization
Parallel isotype controls for background subtraction
Implement these critical experimental controls:
Positive controls:
Negative controls:
TSC22D3 knockout/knockdown samples
Secondary antibody-only controls
Isotype control antibodies
Peptide competition assays
Technical controls: