SMP3 Antibody

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Description

SMPD3 Antibody Overview

SMPD3 (also called Neutral Sphingomyelinase 2/nSMase2) is a 655-amino-acid transmembrane protein localized in the Golgi apparatus and plasma membrane. It features:

  • N-terminal luminal segment (amino acids 1–10)

  • Cytoplasmic region (amino acids 32–64)

  • Catalytic domain (amino acids 340–646)

Antibodies targeting SMPD3 enable researchers to investigate its role in diseases such as cancer, metabolic disorders, and neurodegenerative conditions .

Western Blot Performance

  • Cell Lines Tested:

    • CEM human T-lymphoblastoid cells

    • RPMI 8226 multiple myeloma cells

  • Protocols:

    • Dilution: 0.5–1 µg/mL

    • Secondary Antibodies: HRP-conjugated anti-mouse/sheep IgG

  • Results: Distinct bands at 70–75 kDa confirm specificity .

Key Research Findings

  • SMPD3 regulates insulin sensitivity and mitochondrial function in human skeletal muscle, as shown in JCI Insight (2018) .

  • Phosphorylation at specific residues modulates enzymatic activity and subcellular localization .

Challenges and Considerations

  • Post-Translational Modifications: Phosphorylation alters electrophoretic mobility, necessitating validation under reducing conditions .

  • Species Specificity: While cross-reactive with murine SMPD3, epitope conservation requires verification in non-human models .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
SMP3 antibody; LAS2 antibody; SAP2 antibody; YOR149C antibody; GPI mannosyltransferase 4 antibody; EC 2.4.1.- antibody; GPI mannosyltransferase IV antibody; GPI-MT-IV antibody
Target Names
SMP3
Uniprot No.

Target Background

Function
SMP3 Antibody targets alpha-1,2-mannosyltransferase, an enzyme involved in glycosylphosphatidylinositol-anchor (GPI) biosynthesis. This antibody recognizes the enzyme that transfers a fourth mannose residue to trimannosyl-GPIs during GPI precursor assembly. The presence of this fourth mannose is crucial for fungal GPI biosynthesis. Additionally, SMP3 has been implicated in plasmid maintenance in conjunction with SMP2.
Database Links

KEGG: sce:YOR149C

STRING: 4932.YOR149C

Protein Families
Glycosyltransferase 22 family, PIGZ subfamily
Subcellular Location
Endoplasmic reticulum membrane; Multi-pass membrane protein.

Q&A

What is SMPD3 and why is it important in research?

SMPD3 (Sphingomyelin phosphodiesterase 3) is a 69-74 kDa member of the neutral sphingomyelinase family of enzymes. It functions as a monomeric Golgi/plasma membrane enzyme that catalyzes the hydrolysis of sphingomyelin to form ceramide and phosphorylcholine. This enzymatic activity generates second messenger components that participate in signal transduction pathways . SMPD3 plays critical roles in regulating the cell cycle by acting as a growth suppressor in confluent cells and participates in important physiological processes including bone and dentin mineralization . The study of SMPD3 is particularly important for understanding cellular processes like apoptosis and growth arrest, as ceramide mediates these functions and can regulate them independently .

What types of SMPD3 antibodies are commercially available for research?

Researchers have access to several types of SMPD3 antibodies with different characteristics:

Antibody TypeHostClonalityApplicationsReactivityExamples
MonoclonalMouseIgG2B (Clone #758612)WB, ELISAHumanMAB7184
PolyclonalRabbitIgGELISA, IHC, IPHuman, MouseCSB-PA878920LA01HU

The monoclonal antibody derived from mouse IgG2B (Clone #758612) shows specificity for human SMPD3 in direct ELISAs with no cross-reactivity with recombinant human SMPD1 or PP2A . The rabbit polyclonal antibody is generated against recombinant human Sphingomyelin phosphodiesterase 3 protein (401-655AA) and shows reactivity with both human and mouse SMPD3 .

How is SMPD3 protein structurally organized?

Human SMPD3 is a two-transmembrane protein comprising 655 amino acids. Its structural organization includes:

  • An N-terminal luminal segment (amino acids 1-10)

  • A cytoplasmic region (amino acids 32-64)

  • A catalytic domain (amino acids 340-646)

The protein undergoes post-translational modifications, including phosphorylation, which increases its apparent molecular weight to approximately 78 kDa in SDS-PAGE. There is also evidence of at least one potential isoform that possesses an Asn substitution for amino acids 569-587. Human SMPD3 shares 91% amino acid sequence identity with mouse SMPD3 across amino acids 2-655 .

How should SMPD3 antibodies be prepared and stored for optimal results?

For optimal results with SMPD3 antibodies, researchers should follow specific preparation and storage protocols:

  • Reconstitution: Lyophilized antibodies should be reconstituted in sterile PBS to a final concentration of 0.5 mg/mL .

  • Storage conditions:

    • Upon receipt, store unopened antibody at -20°C to -70°C

    • After reconstitution, the antibody can be stored:

      • For 1 month at 2-8°C under sterile conditions

      • For 6 months at -20°C to -70°C under sterile conditions

  • Stability considerations: Avoid repeated freeze-thaw cycles as they can denature antibodies and reduce activity. Use a manual defrost freezer for long-term storage .

  • Diluent recommendations: For some antibody formulations, a specific diluent buffer containing 50% Glycerol, 0.01M PBS (pH 7.4) with 0.03% Proclin 300 as preservative may be optimal .

What is the optimal protocol for detecting SMPD3 using Western blot?

For Western blot detection of SMPD3, the following protocol has been validated:

  • Sample preparation: Prepare cell lysates (e.g., from CEM human T-lymphoblastoid cell line) using appropriate lysis buffers.

  • Gel electrophoresis: Run samples on SDS-PAGE under reducing conditions.

  • Transfer: Transfer proteins to PVDF membrane using standard protocols.

  • Antibody incubation:

    • Primary antibody: Use Mouse Anti-Human SMPD3 Monoclonal Antibody at 1 μg/mL concentration

    • Secondary antibody: HRP-conjugated Anti-Mouse IgG Secondary Antibody

  • Detection: Visualize the specific band for SMPD3 at approximately 70-75 kDa using appropriate chemiluminescent detection methods .

  • Buffer system: Use Immunoblot Buffer Group 1 for optimal results .

This protocol has successfully detected SMPD3 in human cell lines and can be adapted for various experimental designs.

How can ELISA be optimized for SMPD3 detection?

ELISA optimization for SMPD3 detection involves several key considerations:

  • Antibody selection: Both monoclonal (MAB7184) and polyclonal (CSB-PA878920LA01HU) antibodies have been validated for ELISA applications .

  • Specificity verification: The monoclonal antibody shows high specificity with no cross-reactivity with recombinant human SMPD1 or PP2A in direct ELISAs .

  • Titration optimization: Determine optimal antibody concentration through titration experiments. Start with the recommended concentration (typically 1-2 μg/mL) and test serial dilutions.

  • Blocking optimization: Use appropriate blocking buffers (typically 1-5% BSA or non-fat dry milk in PBS) to minimize background.

  • Detection systems: For colorimetric detection, HRP or AP-conjugated secondary antibodies with appropriate substrates can be used.

  • Controls:

    • Positive control: Recombinant human SMPD3 protein

    • Negative control: Samples known to lack SMPD3 expression

    • Background control: Secondary antibody only

  • Quantification: Establish a standard curve using recombinant SMPD3 protein at known concentrations for quantitative analysis.

How can researchers address non-specific binding when using SMPD3 antibodies?

Non-specific binding is a common challenge when working with antibodies. For SMPD3 antibodies, researchers can implement the following strategies:

  • Antibody validation: Verify antibody specificity using positive and negative controls. The monoclonal SMPD3 antibody (MAB7184) has been tested for cross-reactivity with related proteins (SMPD1, PP2A) and shows high specificity .

  • Blocking optimization: Increase blocking agent concentration (3-5% BSA or non-fat dry milk) and include 0.1-0.3% Tween-20 in washing and antibody diluent buffers.

  • Titration experiments: Determine the minimum effective antibody concentration that provides specific signal while minimizing background.

  • Pre-adsorption: For polyclonal antibodies, consider pre-adsorbing with cell/tissue lysates from species other than the target to remove cross-reactive antibodies.

  • Sample preparation: Ensure complete denaturation and reduction of samples for Western blot applications to expose all epitopes properly.

  • Alternative detection methods: If non-specific binding persists in one application (e.g., Western blot), consider alternative methods like immunoprecipitation or immunohistochemistry to validate results .

  • Secondary antibody selection: Use highly cross-adsorbed secondary antibodies specific to the primary antibody host species and isotype.

What approaches can resolve discrepancies in SMPD3 molecular weight detection?

Researchers sometimes observe variations in the apparent molecular weight of SMPD3 (reported range: 69-78 kDa). To address these discrepancies:

  • Post-translational modifications: SMPD3 undergoes phosphorylation that can increase its apparent molecular weight from the predicted ~70-75 kDa to approximately 78 kDa in SDS-PAGE . Verify phosphorylation status using phosphatase treatment of samples.

  • Isoform expression: Consider the potential expression of SMPD3 isoforms, such as the variant with Asn substitution for amino acids 569-587 . Use isoform-specific primers for RT-PCR verification.

  • Gel percentage: Optimize SDS-PAGE gel percentage (8-10% recommended for proteins of this size) for better resolution.

  • Sample preparation: Ensure complete denaturation and reduction of samples to eliminate anomalous migration due to tertiary structure.

  • Species differences: Consider that human SMPD3 shares 91% amino acid sequence identity with mouse SMPD3 , which might account for subtle differences in molecular weight across species.

  • Molecular weight markers: Use high-quality, pre-stained protein standards that cover the appropriate range (50-100 kDa).

  • Gradient gels: Consider using gradient gels (4-15%) for improved resolution of proteins in this molecular weight range.

How can researchers optimize immunoprecipitation protocols for SMPD3?

For successful immunoprecipitation (IP) of SMPD3, researchers should consider:

  • Antibody selection: Polyclonal antibodies like CSB-PA878920LA01HU have been validated for IP applications . For challenging IPs, consider testing both monoclonal and polyclonal antibodies.

  • Lysis buffer optimization:

    • For membrane proteins like SMPD3, use lysis buffers containing 1% NP-40 or Triton X-100

    • Include protease inhibitors (e.g., PMSF, protease inhibitor cocktail)

    • For phosphorylated forms, include phosphatase inhibitors (e.g., sodium orthovanadate, sodium fluoride)

  • Pre-clearing: Pre-clear lysates with Protein A/G beads to reduce non-specific binding.

  • Antibody-bead conjugation:

    • Optimize antibody:bead ratio (typically 2-5 μg antibody per 20-50 μL bead slurry)

    • Consider pre-conjugating antibody to beads before adding lysate

  • Incubation conditions:

    • Incubate lysate with antibody-bead complex overnight at 4°C with gentle rotation

    • Wash stringently (at least 3-5 washes) with cold lysis buffer

  • Elution strategies:

    • Gentle elution: Low pH glycine buffer (pH 2.5-3.0)

    • Denaturing elution: SDS sample buffer with heating at 95°C for 5 minutes

  • Controls:

    • Negative control: IgG from the same species as the primary antibody

    • Input control: Analyze a small portion of pre-IP lysate

How does SMPD3 activity contribute to cellular signaling pathways?

SMPD3 plays a critical role in cellular signaling through its enzymatic activity:

  • Ceramide generation: SMPD3 catalyzes the hydrolysis of sphingomyelin to form ceramide and phosphocholine . Ceramide acts as a second messenger in numerous signaling pathways.

  • Apoptosis regulation: Ceramide generated by SMPD3 mediates apoptotic signaling pathways by:

    • Activating protein phosphatases (PP1, PP2A)

    • Modulating pro-apoptotic Bcl-2 family proteins

    • Facilitating death receptor clustering

  • Growth arrest: SMPD3 regulates the cell cycle by acting as a growth suppressor in confluent cells, independent of its apoptotic functions .

  • Plasma membrane dynamics: As a Golgi/plasma membrane enzyme, SMPD3 contributes to membrane microdomain organization and lipid raft formation, which are critical for receptor signaling.

  • Developmental signaling: SMPD3 functions as a regulator of postnatal development and participates in bone and dentin mineralization processes .

Understanding these functions is essential for researchers designing experiments to investigate SMPD3's role in normal physiology and disease states.

What experimental approaches are recommended for studying SMPD3 enzyme activity?

To study SMPD3 enzyme activity, researchers can employ several experimental approaches:

  • Sphingomyelinase activity assay:

    • Substrate-based assays using fluorescently labeled sphingomyelin

    • Amplex Red-based assays that measure phosphocholine production

    • Radioactive assays using [14C]-sphingomyelin

  • Lipid analysis:

    • Thin-layer chromatography (TLC) to separate and quantify sphingolipids

    • Liquid chromatography-mass spectrometry (LC-MS) for precise quantification of ceramide species

    • Lipidomics approaches to analyze changes in the global lipid profile

  • Genetic manipulation:

    • SMPD3 knockdown using siRNA or shRNA

    • CRISPR/Cas9-mediated SMPD3 knockout

    • Overexpression of wild-type or mutant SMPD3

  • Pharmacological approaches:

    • Selective inhibitors of neutral sphingomyelinase (e.g., GW4869)

    • Ceramide analogs to bypass SMPD3 activity

  • Cellular assays:

    • Cell proliferation assays to assess growth suppressor function

    • Apoptosis assays (Annexin V, TUNEL) to evaluate ceramide-mediated cell death

    • Cell cycle analysis using flow cytometry

These approaches can be complemented with SMPD3 antibody-based detection methods to correlate enzyme expression with activity levels.

What are emerging applications for SMPD3 antibodies in research?

SMPD3 antibodies are increasingly being utilized in new research applications:

  • Single-cell analysis: Integration of SMPD3 antibodies in mass cytometry (CyTOF) and single-cell Western blot technologies to analyze SMPD3 expression at the single-cell level.

  • Super-resolution microscopy: Using fluorescently labeled SMPD3 antibodies for localization studies with techniques like STORM or PALM to precisely map SMPD3 distribution within membrane microdomains.

  • Proximity labeling approaches: Combining SMPD3 antibodies with BioID or APEX2 techniques to identify novel protein interaction partners.

  • Therapeutic development: Using SMPD3 antibodies to screen and validate compounds that modulate SMPD3 activity for potential therapeutic applications in cancer, neurodegeneration, and inflammatory disorders.

  • Biomarker validation: Investigating SMPD3 as a potential biomarker in various pathological conditions using antibody-based detection in clinical samples.

What methodological advances might improve SMPD3 research?

Future methodological advances likely to impact SMPD3 research include:

  • Development of isoform-specific antibodies: Creating antibodies that can distinguish between SMPD3 variants would enhance understanding of isoform-specific functions.

  • Activity-state specific antibodies: Developing antibodies that specifically recognize phosphorylated or activated forms of SMPD3 would provide tools to monitor enzyme activation dynamics.

  • Improved in situ visualization: Combining antibody-based detection with lipid probes to simultaneously visualize SMPD3 localization and sphingolipid metabolism in living cells.

  • Automation and high-throughput approaches: Development of automated platforms for SMPD3 detection in drug screening applications.

  • Computational modeling: Integration of antibody-based detection data with computational approaches to model SMPD3 structure-function relationships and predict potentially therapeutic modulators.

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