TSPAN13 antibodies target the Tetraspanin-13 protein, encoded by the TSPAN13 gene (UniProt ID: O95857). This 204-amino-acid protein belongs to the tetraspanin family, characterized by four transmembrane domains and roles in membrane organization, cell adhesion, and signaling . Antibodies against TSPAN13 are widely used in research to investigate its expression patterns, functional mechanisms, and therapeutic potential in diseases like cancer.
Glioblastoma (GBM):
TSPAN13 is overexpressed in high-grade gliomas and correlates with poor prognosis . Knockdown of TSPAN13 in U87 and U251 glioma cells reduces proliferation, migration, and invasion while enhancing apoptosis .
TSPAN13 silencing increases sensitivity to temozolomide (TMZ), a frontline chemotherapy drug, by amplifying DNA damage (γ-H2A.X expression) .
Prostate Cancer:
Breast Cancer:
TSPAN13 regulates CaV2.2 calcium channels, influencing synaptic transmitter release .
It modulates ERK1/2 and JAK2-STAT3 pathways, driving tumor growth and therapy resistance .
Preclinical studies highlight TSPAN13 as a biomarker for TMZ resistance in GBM. Combining TSPAN13 knockdown with TMZ improves survival in murine models .
Clinical Trials: Investigating TSPAN13 inhibitors to overcome chemoresistance in GBM.
Multicancer Studies: Exploring its role in thyroid, ovarian, and lung cancers.
Companion Diagnostics: Developing TSPAN13 expression panels for personalized therapy.
References:
Based on the search results, TSPAN13 antibodies are primarily used in the following applications:
TSPAN13 antibodies have been employed in studies investigating cancer development and progression, particularly in prostate, thyroid, breast cancers, and osteosarcoma .
According to multiple antibody manufacturers, optimal storage conditions for TSPAN13 antibodies include:
Store at -20°C, where they remain stable for approximately one year after shipment
Many formulations contain PBS with 0.02% sodium azide and 50% glycerol at pH 7.3
When working with these antibodies, it is recommended to titrate them in each testing system to achieve optimal results, as dilution requirements can be sample-dependent .
TSPAN13 has been implicated in several cancer types with different expression patterns depending on the cancer type:
These contrasting findings suggest that TSPAN13's role may be context-dependent and tissue-specific, highlighting the importance of careful experimental design when studying this protein in different cancer types.
Research has revealed that miR-369-3p directly regulates TSPAN13 expression through binding to its 3'UTR. In thyroid cancer:
miR-369-3p and TSPAN13 expression levels are inversely correlated in thyroid cancer tissues
Bioinformatics analysis identified a conserved binding site between the 3'UTR of TSPAN13 and miR-369-3p
Dual-luciferase reporter assays confirmed that miR-369-3p directly targets TSPAN13 by binding to its 3'UTR
Overexpression of miR-369-3p downregulates TSPAN13 at both mRNA and protein levels in thyroid cancer cell lines (TPC-1 and GLAG-66)
Functional consequences of this regulation include:
These findings suggest that miR-369-3p functions as a tumor suppressor in thyroid cancer by targeting TSPAN13.
TSPAN13 exhibits a notable discrepancy between its calculated molecular weight (22-24 kDa) and observed molecular weight (28-35 kDa) in Western blot analyses . This discrepancy is attributed to post-translational modifications, particularly glycosylation .
When working with TSPAN13 antibodies in Western blot applications, researchers should expect to observe bands in the 28-35 kDa range rather than at the calculated 22 kDa weight . This knowledge is critical for proper data interpretation and avoiding false negatives.
For experiments requiring precise characterization of TSPAN13 post-translational modifications, researchers might consider:
Enzymatic deglycosylation treatments followed by Western blot
Mass spectrometry analysis to identify specific modifications
Comparison of TSPAN13 from different tissue sources to understand tissue-specific modification patterns
Validating antibody specificity is critical for reliable experimental results. For TSPAN13 antibodies, consider the following validation approaches:
Knockout/Knockdown Controls: Using TSPAN13 knockout or knockdown samples as negative controls provides the most stringent validation. Published studies have employed TSPAN13 knockdown strategies that could serve as templates for validation experiments .
Molecular Weight Verification: Confirm that the detected band appears at the expected molecular weight range (28-35 kDa) due to post-translational modifications of the 22 kDa core protein .
Multiple Antibody Approach: Use multiple antibodies targeting different epitopes of TSPAN13. The search results indicate available antibodies targeting various regions, including:
Overexpression Systems: Use TSPAN13-overexpressing systems (such as TSPAN13-HA tagged constructs) as positive controls, similar to those described in research on Entamoeba histolytica .
TSPAN13, as a tetraspanin, functions in organizing membrane complexes. To study its interactions:
Co-Immunoprecipitation (Co-IP): An effective method demonstrated in studies with tagged TSPAN13 constructs. For example, TSPAN12-HA and TSPAN13-HA were used for reverse co-IP followed by mass spectrometry analysis to identify interaction partners .
Immunoprecipitation Protocol Example:
Tetraspanin-Enriched Microdomains (TEMs) Isolation:
Proximity Labeling Techniques:
BioID or APEX2 fusion proteins can identify proteins in close proximity to TSPAN13
These techniques are particularly useful for membrane proteins like TSPAN13
Researchers frequently encounter several challenges when working with TSPAN13:
Varied Expression Levels: TSPAN13 expression varies significantly across tissues and cell lines. Positive controls reported in literature include:
Specificity Issues: As with many membrane proteins, generating highly specific antibodies can be challenging. Recommended approaches include:
Using multiple antibodies targeting different epitopes
Including appropriate positive and negative controls
Validating results with complementary techniques
Extraction Efficiency: Membrane proteins like TSPAN13 can be difficult to extract completely. Consider:
Post-translational Modifications: The discrepancy between calculated (22 kDa) and observed (28-35 kDa) molecular weights due to glycosylation can complicate data interpretation .
For optimal TSPAN13 detection in tissue samples using immunohistochemistry:
Antigen Retrieval: Heat-mediated antigen retrieval with citrate buffer pH 6 is recommended before commencing with IHC staining protocols .
Antibody Dilution Optimization:
Positive Control Tissues: The following human tissues have been successfully used for TSPAN13 IHC:
Visualization Systems: Both DAB and fluorescent secondary antibodies have been successfully used for TSPAN13 detection, allowing flexibility based on research needs .
TSPAN13, like other tetraspanins, functions as an organizer of membrane complexes and plays key roles in diverse signal transduction events . To study TSPAN13's involvement in signaling:
Pathway Analysis After TSPAN13 Manipulation:
Interaction with Signaling Receptors:
Co-immunoprecipitation can identify associated receptors
Proximity labeling techniques can reveal signaling complexes
FRET/BRET approaches can determine direct interactions
Tetraspanin-Enriched Microdomains (TEMs):
Existing research has shown that TSPAN13 is involved in:
Regulation of cell proliferation pathways (relevant in multiple cancer types)
Modulation of apoptotic signaling (demonstrated in thyroid cancer and osteosarcoma models)
Cell-cell interactions and cellular motility (critical for cancer progression)
Based on current knowledge, several promising research directions emerge:
Cancer Type-Specific Functions: Investigating why TSPAN13 appears to have opposing roles in different cancer types:
miRNA Regulation Networks: Expanding on the miR-369-3p findings to identify:
TSPAN13 in Parasite Research: Recent findings demonstrate TSPAN13's role in Entamoeba histolytica, suggesting unexplored functions in host-pathogen interactions .
Post-translational Modification Analysis: Comprehensive characterization of:
Glycosylation patterns across tissues and disease states
Impact of modifications on TSPAN13 function
Enzymes responsible for TSPAN13 modifications
TSPAN13 as a Biomarker: Evaluating TSPAN13's potential as a:
Diagnostic biomarker for cancer type and stage
Prognostic indicator for patient outcomes
Predictive biomarker for treatment response
These directions highlight the multifaceted nature of TSPAN13 biology and its growing importance in diverse research fields.