Name: Solute carrier family 22 member 3 (SLC22A3/OCT3/EMT)
Gene: SLC22A3 (located on human chromosome 6)
UniProt ID: O75751
Bidirectional transporter for monoamines and organic cations
Broad tissue distribution: placenta, liver, brain, heart, and intestines
Altered expression in cancers (e.g., upregulated in colorectal cancer, downregulated in lung/breast cancers)
SLC22A3 antibodies are used to investigate:
Cancer Therapeutics:
Drug Transport:
Neurobiology:
HNSCC: Patients with higher SLC22A3 expression had improved survival with cisplatin therapy (p = 0.006 for advanced T-stage patients) .
Colorectal Cancer:
SLC22A3 overexpression increases cisplatin uptake and cytotoxicity in vitro .
Knockdown reduces drug sensitivity and impairs apoptosis in colorectal cancer cells .
SLC22A3 (Solute Carrier Family 22 Member 3), also known as OCT3 (Organic Cation Transporter 3), belongs to the SLC22A gene family. It functions as a membrane transport protein involved in numerous metabolic processes and detoxification pathways. This transporter is responsible for the uptake and intracellular inactivation of various endogenous and exogenous substrates including neurotransmitters (norepinephrine, epinephrine, dopamine, histamine, and serotonin) and various anticancer drugs . The protein structure is suggested to have 12 transmembrane domains with a large hydrophobic cleft capable of accommodating diverse chemical species . Given its widespread expression and role in drug transport, SLC22A3 has become increasingly important in pharmacological research and cancer studies.
SLC22A3 demonstrates a wide tissue distribution pattern with notable expression in multiple organ systems. In humans, it is abundantly expressed in placenta, heart, liver, and skeletal muscle . Within the central nervous system, SLC22A3 is expressed in astrocytes, neurons, glia, ependymal cells, and at the blood-cerebrospinal fluid barrier in choroid plexus epithelial cells . Immunohistochemical studies have revealed SLC22A3 expression in mouse cortical neurons and in both astrocytes and neurons of the hippocampus . Additionally, its expression has been detected in multiple cancer cell lines and tumor tissue samples, making it relevant for oncology research .
SLC22A3 antibodies are validated for multiple experimental applications:
For Western blot analysis, SLC22A3 antibodies have been successfully used to detect the protein in mouse and rat brain lysates at a dilution of 1:200 . For immunohistochemistry, antibodies have effectively visualized SLC22A3 in mouse cortex and hippocampus at similar dilutions, typically followed by fluorescent secondary antibodies such as goat anti-rabbit-AlexaFluor-488 .
Validating antibody specificity is crucial for ensuring reliable experimental results. Recommended validation approaches include:
Western blot analysis with positive and negative controls: Compare tissues known to express SLC22A3 (e.g., brain, placenta, liver) with tissues or cell lines with low expression .
Genetic manipulation: Use SLC22A3 overexpression and knockdown strategies to confirm antibody specificity. As demonstrated in colorectal cancer research, SLC22A3 cDNA can be cloned into expression vectors (e.g., pEGFP-C1) and confirmed by DNA sequencing, while siRNAs can be used for knockdown experiments .
Peptide competition assays: Pre-incubate the antibody with the immunizing peptide before application to samples, which should eliminate specific staining.
Cross-reactivity testing: Test the antibody against related transporters (OCT1, OCT2) to ensure specificity within the SLC22A family.
Research indicates significant correlations between SLC22A3 expression and cancer prognosis across multiple tumor types:
Methylation status appears to play a significant role in regulating SLC22A3 expression. Based on research findings:
Methylation analysis approaches: Different expression levels of SLC22A3 in lung squamous cell carcinoma correlate with the methylation status of the SLC22A3 gene . Researchers should consider:
Bisulfite sequencing of the SLC22A3 promoter region
Methylation-specific PCR
Genome-wide methylation arrays followed by targeted validation
Functional validation: Luciferase reporter assays have demonstrated that compared to the G allele of rs420038, the A allele can suppress the activity of the promoter in SLC22A3 . Similar approaches can be used to study methylation effects on promoter activity.
Correlation studies: Analyze the relationship between methylation patterns and expression levels across different tissue types and disease states.
For effective genetic manipulation of SLC22A3:
Overexpression systems:
Knockdown approaches:
Transfection optimization:
Recent research has uncovered important connections between SLC22A3 expression and tumor immune responses:
Pathway correlations: SLC22A3 expression levels positively correlate with immune-related pathways, including inflammatory responses and the abundance of infiltrating immune cells in the tumor microenvironment (TME) .
Immune checkpoint regulation: In SLC22A3-high expression groups, many genes encoding immunological checkpoint inhibitory molecules are upregulated, suggesting a potential mechanism for immune evasion .
Tumor immunogenicity: SLC22A3 expression positively correlates with the Hot Oral Tumor (HOT) score, indicating high tumor immunogenicity . This correlation has been validated across multiple independent datasets (GSE162520 and GSE161537).
Research approach recommendations:
Analyze immune cell infiltration in SLC22A3-high versus SLC22A3-low tumors using immunohistochemistry or flow cytometry
Investigate cytokine profiles in relation to SLC22A3 expression levels
Evaluate potential synergistic effects between SLC22A3-targeted therapies and immune checkpoint inhibitors
For optimal Western blot detection of SLC22A3:
Antibody selection and dilution:
Sample preparation:
Detection method:
Troubleshooting considerations:
SLC22A3 is a membrane protein, so optimize lysis buffers to ensure efficient extraction
Consider using specialized membrane protein extraction kits if standard protocols yield poor results
For tissues with lower expression, increase protein loading or use more sensitive detection methods
Genetic variation in SLC22A3 has important implications for personalized medicine and disease risk:
Cancer susceptibility: The SNP rs420038 G>A in SLC22A3 is associated with decreased colorectal cancer risk and correlates with lower SLC22A3 expression levels . Luciferase assays have shown that the A allele suppresses promoter activity compared to the G allele .
Expression regulation: Methylation status of the SLC22A3 gene correlates with its expression levels in cancer, suggesting epigenetic regulation mechanisms .
Research approaches:
Genotype-phenotype correlation studies in diverse patient populations
Functional validation of variants using site-directed mutagenesis
Development of cell models expressing different SLC22A3 variants to test drug transport efficiency
Clinical implications: Understanding how SLC22A3 variants affect drug transport could help predict treatment outcomes and guide personalized therapy approaches, particularly for anticancer drugs transported by this protein.
For detailed localization studies:
Immunohistochemistry optimization:
For mouse brain sections, perfusion-fixed frozen tissues have yielded good results with Anti-SLC22A3 antibodies at 1:200 dilution
Secondary detection with goat anti-rabbit-AlexaFluor-488 allows visualization of SLC22A3 in both neurons and astrocytes
DAPI counterstaining helps identify cellular structures by marking nuclei
Subcellular localization:
Confocal microscopy with co-staining for cellular compartment markers
Subcellular fractionation followed by Western blotting
Electron microscopy with immunogold labeling for highest resolution
Tissue-specific considerations:
For functional transport studies:
Cellular uptake assays:
Use radiolabeled or fluorescently labeled SLC22A3 substrates
Compare uptake in cells overexpressing SLC22A3 versus control cells
Include specific inhibitors to confirm transporter-specific uptake
Electrophysiological approaches:
Bidirectional transport assessment:
Data analysis considerations:
Calculate kinetic parameters (Km, Vmax) for different substrates
Account for passive diffusion component in transport measurements
Consider multiple time points to capture initial rates accurately
Based on its expression and function in the central nervous system:
Neurotransmitter homeostasis:
Novel substrates:
Research strategies:
Investigate SLC22A3 function in brain slice preparations
Develop neuron-specific SLC22A3 knockout models
Explore interactions between SLC22A3 and neuropsychiatric drug metabolism