SLC16A14 antibodies target the SLC16A14 protein, a 510-amino-acid transmembrane protein with 12 membrane-spanning domains . While its exact substrates remain unknown, phylogenetic analyses link it closely to transporters of aromatic amino acids, thyroid hormones (e.g., SLC16A2, SLC16A10), and carnitine (SLC16A9) . Its expression is modulated by dietary phosphate, with high abundance in the kidney’s thick ascending limb (TAL) and moderate levels in the brain, liver, and reproductive organs .
These antibodies are critical for elucidating the protein’s localization and function. Key applications include:
Immunohistochemistry (IHC): Mapping SLC16A14 expression in renal and neuronal tissues .
Western Blot (WB): Detecting protein abundance in homogenates (e.g., kidney samples under varying phosphate diets) .
Immunofluorescence (IF): Visualizing neuronal soma-specific expression in mouse brain sections .
Enzyme-Linked Immunosorbent Assay (ELISA): Quantifying protein levels in experimental models .
SLC16A14 is widely expressed in mouse brain neurons, particularly in the hippocampus, hypothalamus, and cortical regions .
Immunohistochemistry reveals soma-specific expression in excitatory and inhibitory neurons, suggesting a role in neuronal metabolite transport .
Dietary phosphate intake dynamically regulates SLC16A14 mRNA and protein levels in the kidney, though it does not transport phosphate directly .
While SLC16A14’s substrates remain unidentified, its phylogenetic relatives (e.g., SLC16A1-4) transport drugs like valproic acid, hinting at unexplored therapeutic roles .
Validation: Antibodies from Sigma-Aldrich and Antibodies-Online are validated via protein arrays and immunohistochemical staining across 44 normal and 20 cancerous tissues .
Storage: Optimal stability at −20°C in buffered aqueous glycerol solutions .
Species Reactivity: Most antibodies target human and mouse isoforms, with limited data on bovine or other species .
SLC16A14, also known as MCT14, is an orphan member of the monocarboxylate transporter (MCT) family (the SLC16 family of secondary active transmembrane transporters). It is considered "orphan" because its substrate specificity remains undefined. Phylogenetic analysis reveals that SLC16A14 most closely relates to SLC16A9 (a carnitine transporter), SLC16A2 (a thyroid hormone transporter), and SLC16A10 (transports aromatic amino acids and iodothyronine) . This evolutionary relationship strongly suggests that SLC16A14 may function as a transporter for aromatic amino acids, although this hypothesis requires further experimental validation.
The expression pattern of SLC16A14 in neuronal soma suggests potential functions in neuronal metabolism, possibly mediating the transport of specific substrates across the neuronal membrane. Given its relatively high expression in kidney tissue, SLC16A14 may also play important roles in renal transport processes .
Quantitative real-time PCR (qRT-PCR) analyses have demonstrated that SLC16A14 mRNA is highly abundant in mouse kidney and moderately expressed in the central nervous system, testis, uterus, and liver . Within the brain, in situ hybridization has revealed extensive SLC16A14 mRNA expression throughout multiple regions:
Hippocampus: Expressed in the granular, polymorph, and molecular layers of the dentate gyrus, the pyramidal cells, and the CA1-3 fields
Cortical regions: Including the piriform cortex
Amygdala: Present in the accessory basal amygdaloid nucleus (BMA) and posterolateral cortical amygdaloid nucleus
Hypothalamus: Detected in the arcuate nucleus and the dorsomedial and ventromedial hypothalamic nuclei
This distribution pattern suggests that SLC16A14 may have region-specific functions in the brain, potentially related to neuronal metabolism or signaling.
Immunohistochemistry and in situ hybridization studies have demonstrated that SLC16A14 is primarily expressed in:
Importantly, SLC16A14 expression appears to be exclusively localized to the soma of neurons rather than in dendrites or axons. This specific localization pattern suggests that SLC16A14 may participate in cellular processes that occur primarily in the cell body, such as protein synthesis or metabolic regulation, rather than in synaptic transmission or axonal transport .
Several complementary techniques can be employed to detect SLC16A14 expression with high specificity and sensitivity:
Recommended for mRNA detection and precise spatial localization
Typically uses digoxigenin-labeled riboprobes against SLC16A14 mRNA
Can be performed on free-floating tissue sections (e.g., 70 μm thickness)
Provides excellent cellular resolution for determining expression patterns
Detects protein expression using specific anti-SLC16A14 antibodies
Can be performed on:
Provides quantitative measurement of SLC16A14 mRNA levels
Useful for comparing expression across different tissues or conditions
Requires careful selection of reference genes for normalization
Confirms protein expression and molecular weight
Recommended dilutions range from 1:500 to 1:2000 depending on the specific antibody
Proper validation of antibodies is crucial for obtaining reliable results. For SLC16A14 antibodies, follow these validation steps:
Peptide blocking control: Pre-incubate the SLC16A14 antibody with a peptide corresponding to the epitope recognized by the antibody (e.g., YTSHEDIGYDFEDGPKDKKTLKPHPNIDGG for some antibodies) at 5:1 ratio (peptide:antibody) for 1 hour at room temperature prior to tissue incubation .
Positive control tissues: Include tissues known to express high levels of SLC16A14, such as kidney and brain tissues from mouse or human samples .
Western blot analysis: Confirm specificity by detecting a band of the expected molecular weight (~56 kDa) in tissues known to express SLC16A14.
Comparison with mRNA expression: Correlate antibody staining patterns with in situ hybridization results to confirm consistency in expression patterns .
Knockout or knockdown controls: When available, tissues from SLC16A14 knockout animals or cells with SLC16A14 knockdown provide the gold standard for antibody validation.
For optimal immunohistochemical detection of SLC16A14, consider the following protocol recommendations:
Prepare tissue sections at 70 μm thickness
Use anti-MCT14 antibody at 1:1000 dilution
Follow standard free-floating IHC protocols with appropriate blocking steps
Use anti-MCT14 antibody at 1:100 dilution
Include antigen retrieval steps appropriate for the fixation method used
For peptide blocking controls, pre-incubate antibody with corresponding peptide at 5:1 ratio
Adjust primary antibody incubation time (typically overnight at 4°C)
Optimize secondary antibody concentration
Include appropriate negative controls (omission of primary antibody)
Consider double-labeling with cell-type specific markers to confirm cellular localization
Distinguishing between closely related transporters requires careful experimental design:
Antibody selection: Choose antibodies targeting unique epitopes not shared with related transporters. For example, antibodies directed against the C-terminal region of SLC16A14, which differs from SLC16A9, SLC16A2, and SLC16A10 .
Probe specificity for in situ hybridization: Design probes targeting non-conserved regions of the SLC16A14 mRNA sequence to avoid cross-hybridization with related transporters.
Comparative expression analysis: Use tissue distribution patterns to distinguish between transporters. For instance, SLC16A14 shows high kidney expression, which differs from some related transporters .
Co-localization studies: Perform double-labeling experiments using antibodies against SLC16A14 and related transporters to determine whether they are expressed in the same or different cell populations.
Functional assays with selective inhibitors: When available, use selective inhibitors or substrate competition assays to distinguish transport activities.
As an orphan transporter, identifying SLC16A14 substrates remains a key research challenge. Consider these approaches:
Heterologous expression systems: Express SLC16A14 in Xenopus oocytes or mammalian cell lines that lack endogenous expression, then test transport of candidate substrates using radiolabeled compounds or fluorescent substrate analogs.
Substrate screening: Based on phylogenetic relationships, prioritize testing of aromatic amino acids, thyroid hormones, and carnitine as potential substrates, as these are transported by the closely related SLC16A2, SLC16A10, and SLC16A9, respectively .
Metabolomics approach: Compare metabolite profiles in cells overexpressing SLC16A14 versus control cells, or in tissues from wildtype versus SLC16A14 knockout animals, to identify accumulated or depleted metabolites.
pH-sensitive fluorescent proteins: Fuse pH-sensitive fluorescent proteins to SLC16A14 to monitor potential proton-coupled transport activity, similar to other characterized MCT family members.
Electrophysiology: Perform electrophysiological measurements in cells expressing SLC16A14 to detect substrate-induced currents or membrane potential changes.
Accurate quantification of SLC16A14 expression by qPCR requires careful selection of reference genes:
Tissue-specific validation: Reference genes should be validated for stability in the specific tissue being studied. For brain tissue, genes like ACTB, GAPDH, and HPRT1 are commonly used but should be empirically validated.
Multiple reference genes: Use at least 2-3 reference genes for normalization to improve accuracy. Software tools like GeNorm, NormFinder, or BestKeeper can help identify the most stable reference genes for specific experimental conditions.
Experimental condition considerations: Ensure that reference genes are not affected by the experimental treatments being studied (e.g., drug treatments, disease models).
Similar expression range: Ideally, reference genes should have expression levels comparable to SLC16A14 in the tissue of interest.
qPCR efficiency matching: Reference genes should have similar PCR amplification efficiencies to SLC16A14 to ensure accurate relative quantification.
Robust experimental design requires appropriate controls:
Positive control: Include lysates from tissues known to express SLC16A14 (e.g., kidney, brain)
Loading control: Probe for housekeeping proteins such as β-actin or GAPDH
Peptide competition control: Pre-incubate antibody with blocking peptide
Molecular weight marker: To confirm expected band size (~56 kDa)
Positive control tissues: Include sections from tissues with known SLC16A14 expression
Negative control sections: Omit primary antibody
Peptide blocking control: Pre-incubate antibody with corresponding epitope peptide
Counterstaining: Use neuronal or cell-type specific markers to confirm cellular localization
Sense probe control for in situ hybridization
No-template controls for qPCR
Reference genes for normalization in qPCR
Cross-reactivity is a common concern with antibodies against membrane transporters. These strategies can help ensure specificity:
Epitope analysis: Compare the immunogen sequence used to generate the antibody with sequences of related proteins to identify potential cross-reactivity.
Multiple antibody validation: Use multiple antibodies targeting different epitopes of SLC16A14 and compare their staining patterns.
Correlation with mRNA expression: Compare protein detection patterns with mRNA expression patterns determined by in situ hybridization or qPCR .
Pre-adsorption tests: Pre-incubate the antibody with the immunizing peptide to verify that staining is abolished, confirming specificity .
Western blot analysis: Verify that the antibody detects a single band of the expected molecular weight in tissues known to express SLC16A14.
Genetic models: When available, use SLC16A14 knockout or knockdown models as negative controls.