The antibody targets a 90-amino acid fragment (residues 48–137) of human SGMS1, which lies within the enzyme’s catalytic domain . This region is critical for its function as a sphingomyelin synthase, facilitating the conversion of phosphatidylcholine and ceramide to sphingomyelin and diacylglycerol . The immunogen’s design ensures high specificity for SGMS1, minimizing cross-reactivity with related proteins .
Sensitivity: Detects SGMS1 at low picogram levels in optimized ELISA setups .
Cross-Reactivity: No significant reactivity with mouse or rat SGMS1 homologs .
SGMS1 Antibody, HRP conjugated has been instrumental in studies exploring SGMS1’s role in diseases:
Alzheimer’s Disease: SGMS1 activity modulates amyloid-β (Aβ) production, with inhibition reducing Aβ levels by 25–58% in cellular models .
Apoptosis Regulation: SGMS1 suppresses BAX-mediated apoptosis, protecting cells under oxidative stress .
This antibody’s reliability in ELISA makes it a cornerstone for quantifying SGMS1 expression in metabolic and neurodegenerative disease research .
SGMS1 is the major sphingomyelin synthase located in the Golgi apparatus that catalyzes the bidirectional transfer of phosphocholine between ceramide and diacylglycerol. It synthesizes sphingomyelin through the transfer of phosphatidylcholine head groups onto the primary hydroxyl of ceramide . SGMS1 plays critical roles in multiple cellular processes including:
Cell growth regulation, particularly in certain cell types like HeLa cells
Suppression of BAX-mediated apoptosis
Protection against cell death induced by stressors such as hydrogen peroxide, osmotic stress, and elevated temperature
Regulation of ceramide/sphingomyelin balance, which affects membrane structure and signaling
Secretory transport regulation via diacylglycerol pools at the Golgi apparatus
Osteogenic differentiation of mesenchymal stem cells and osteogenic-angiogenic coupling
The direction of its enzymatic reaction depends on the relative levels of ceramide and diacylglycerol in Golgi membranes, allowing it to function as a metabolic switch that influences both sphingolipid and glycerolipid pathways.
HRP (Horseradish Peroxidase) conjugation offers several methodological advantages for SGMS1 detection:
Direct detection without requiring secondary antibodies, which simplifies experimental protocols and reduces potential cross-reactivity issues
Enhanced sensitivity through enzymatic signal amplification, allowing detection of low abundance SGMS1 protein
Compatibility with various substrates that produce colorimetric, chemiluminescent, or fluorescent signals
Reduced background in Western blot applications compared to two-step detection systems
Stable conjugation chemistry that maintains antibody specificity while providing reliable enzymatic activity
HRP-conjugated antibodies are particularly valuable when working with limited samples or when detecting SGMS1 in tissues with high background issues.
Based on validated research applications, SGMS1 HRP-conjugated antibodies are recommended for:
Western blotting at dilutions of 1:100-1000, allowing precise protein quantification
Immunohistochemistry on paraffin-embedded tissues (IHC-P) at dilutions of 1:100-500
ImmunoKjemi applications where direct enzymatic detection provides advantages
The polyclonal nature of available antibodies provides multiple epitope recognition, potentially increasing detection sensitivity compared to monoclonal alternatives, especially when protein conformation may be altered during experimental procedures.
For optimal Western blot results with SGMS1 HRP-conjugated antibodies:
Sample preparation:
Use RIPA or NP-40 based lysis buffers with protease inhibitors
Include phosphatase inhibitors if interested in phosphorylation states
Heat samples at 70°C instead of boiling to preserve transmembrane protein structure
Gel selection and transfer:
Use 10-12% polyacrylamide gels as SGMS1 has a molecular weight of approximately 42-45 kDa
PVDF membranes typically provide better results than nitrocellulose for transmembrane proteins
Blocking and antibody incubation:
Signal development:
Enhanced chemiluminescence (ECL) substrates provide optimal results
Adjust exposure times based on signal intensity to avoid saturation
This methodology ensures specific detection while minimizing background signals that can complicate interpretation.
Critical sample preparation steps include:
Cell lysis optimization:
Use detergent concentrations that effectively solubilize membrane proteins (0.5-1% NP-40 or Triton X-100)
Maintain samples at 4°C throughout processing to prevent protein degradation
Include specific sphingomyelinase inhibitors if studying enzymatic activity
Subcellular fractionation considerations:
For Golgi-specific SGMS1 analysis, employ sucrose gradient centrifugation
Verify fractionation success with organelle markers (GM130 for Golgi)
Solubilize membrane fractions thoroughly before immunoblotting
Protein quantification methods:
BCA or Bradford assays may give different results with membrane proteins
Standardize loading using housekeeping proteins localized to the same subcellular compartment
Sample storage:
These steps ensure consistent and reproducible detection of SGMS1 while preserving its native conformation and enzymatic properties.
Several factors can contribute to false positive signals:
Cross-reactivity with related proteins:
SGMS2 (SMS2) shares structural similarity with SGMS1
Ceramide synthases may be detected with some antibodies due to functional domain similarities
Direct HRP-related issues:
Endogenous peroxidase activity in tissues, particularly in liver and kidney samples
HRP conjugation may occasionally alter epitope recognition
Over-development of signal with sensitive substrates
Experimental artifacts:
Non-specific binding to highly hydrophobic membrane proteins
Protein aggregation in improperly prepared samples
Insufficient blocking of membranes or tissues
Validation approaches:
Addressing these factors systematically will help distinguish true SGMS1 signal from artifacts.
To reduce non-specific binding:
Blocking optimization:
Test different blocking agents (milk, BSA, commercial blockers)
Extend blocking time to 2 hours at room temperature
Include 0.05-0.1% Tween-20 in all buffers
Antibody dilution and incubation:
Use higher dilutions (1:500-1:1000) of HRP-conjugated antibodies
Prepare antibody solutions in fresh blocking buffer
Pre-absorb antibody with non-relevant proteins if cross-reactivity is suspected
Washing protocol enhancement:
Increase number of washes (5-6 times)
Extend washing duration (10 minutes per wash)
Use higher salt concentration in wash buffers (up to 500 mM NaCl)
Membrane handling:
These modifications can significantly improve signal-to-noise ratio in SGMS1 detection.
For investigating SGMS1's role in osteogenic differentiation:
Experimental design:
Compare SGMS1 expression between normal medium (NM) and osteogenic medium (OM) conditions
Track expression changes during differentiation time course (days 0, 3, 7, 14, 21)
Correlate with osteogenic markers (ALP, OCN, Col-1, OPN)
Gain and loss of function approaches:
Overexpress SGMS1 using lentiviral vectors to assess enhanced differentiation
Use shRNA knockdown to evaluate necessity of SGMS1 in differentiation
Rescue experiments with exogenous sphingomyelin addition after SGMS1 silencing
Signaling pathway analysis:
Monitor ceramide/sphingomyelin ratio during differentiation
Assess PP2A activity and phosphorylated Akt levels
Track Runx2 translocation and binding to target genes
Measure VEGF expression to evaluate osteogenic-angiogenic coupling
Validation in animal models:
This comprehensive approach allows for mechanistic understanding of SGMS1's role in bone development and regeneration.
To investigate SGMS1's role in sphingolipid metabolism:
Lipid analysis techniques:
Liquid chromatography-mass spectrometry (LC-MS) for quantitative ceramide and sphingomyelin profiling
Thin-layer chromatography with radioactive precursors for metabolic flux analysis
Fluorescently-labeled ceramide analogs for tracking subcellular metabolism
Enzyme activity assays:
In vitro assays using [³H]choline-labeled substrates
Fluorescent ceramide analogs with HPLC detection
NBD-ceramide conversion assays in intact cells and microsomal fractions
Correlation with SGMS1 expression:
Use HRP-conjugated antibodies for precise quantification of SGMS1 protein levels
Correlate enzyme activity with protein expression across conditions
Analyze subcellular distribution using fractionation and immunofluorescence
Biological readouts:
This multi-faceted approach provides both biochemical and functional insights into SGMS1's role in lipid homeostasis.
For rigorous quantification of SGMS1 expression:
Western blot densitometry:
Use linear range capture methods (avoid saturated signals)
Normalize to appropriate loading controls (β-actin for whole cell lysates, GM130 for Golgi fractions)
Analyze multiple biological replicates (n≥3) for statistical significance
Present data as fold-change relative to control conditions
Image acquisition and analysis:
Capture images using cooled CCD cameras for linear response
Use software with background subtraction capabilities
Apply consistent analysis parameters across all samples
Present both representative images and quantification data
Validation approaches:
Confirm protein changes with mRNA quantification (qRT-PCR)
Verify with multiple antibodies targeting different epitopes
Use absolute quantification methods when possible (recombinant protein standards)
Statistical analysis:
This systematic approach ensures reliable quantification of SGMS1 expression changes across experimental conditions.
Essential controls for knockdown/knockout studies include:
Validation controls:
Scrambled/non-targeting shRNA controls for knockdown studies
Wild-type littermates or isogenic cell lines for knockout models
Rescue experiments with exogenous SGMS1 expression to confirm phenotype specificity
Specificity controls:
Secondary antibody-only controls to assess background
Positive control samples with known SGMS1 expression
Pre-absorption controls with immunizing peptide
Multiple antibodies targeting different epitopes to confirm findings
Functional validation:
Enzymatic activity measurements (sphingomyelin synthase assay)
Metabolite analysis (ceramide and sphingomyelin levels)
Phenotypic assessment (apoptosis resistance, growth rates)
Related protein controls:
These controls ensure that observed phenotypes are specifically attributable to SGMS1 loss rather than off-target effects or compensatory mechanisms.
To specifically distinguish between these closely related isoforms:
| Parameter | SGMS1 | SGMS2 | Discrimination Method |
|---|---|---|---|
| Molecular Weight | 42-45 kDa | 37-40 kDa | SDS-PAGE migration |
| Subcellular Localization | Primarily Golgi | Plasma membrane and Golgi | Subcellular fractionation |
| N-terminal Region | More divergent | More divergent | N-terminus specific antibodies |
| Epitope Selection | aa 1-150 most specific | C-terminal region most specific | Epitope-mapped antibodies |
| Functional Assay | SM synthesis in Golgi fractions | SM synthesis in plasma membrane | Location-specific activity assays |
| Gene Silencing | Confirm with isoform-specific primers | Confirm with isoform-specific primers | qRT-PCR validation |
When using SGMS1 HRP-conjugated antibodies:
Verify the immunogen corresponds to regions with minimal SGMS2 homology (N-terminal domain is preferable)
Use subcellular fractionation to enrich for Golgi (SGMS1) or plasma membrane (SGMS2)
Include recombinant SGMS1 and SGMS2 proteins as specificity controls
These approaches ensure accurate discrimination between these functionally related but distinct enzymes.
For investigating osteogenic-angiogenic coupling:
Co-culture experimental design:
Establish MSC cultures with SGMS1 overexpression or knockdown
Collect conditioned media from these modified MSCs
Apply to human umbilical vein endothelial cells (HUVECs)
Assess angiogenic potential through migration, invasion, and tubule formation assays
VEGF pathway analysis:
Use SGMS1 HRP-conjugated antibodies to quantify SGMS1 expression in MSCs
Measure VEGF secretion in response to SGMS1 modulation
Perform rescue experiments with exogenous VEGF after SGMS1 knockdown
Assess downstream effectors of VEGF signaling in HUVECs
In vivo models:
Calvarial defect models with SGMS1-modified MSC implantation
Micro-CT analysis for bone regeneration quantification
Histological assessment with H&E and Masson's trichrome staining
Immunofluorescence for osteogenic (Runx2) and angiogenic (CD31) markers
Mechanistic pathway investigation:
This approach establishes the role of SGMS1 in coordinating bone formation with necessary vascularization through regulation of VEGF expression.
To investigate Runx2-mediated regulation of SGMS1:
Promoter analysis:
Bioinformatic identification of potential Runx2 binding sites in the SGMS1 promoter
Focus on the E1 binding site which shows functional activity
Generate luciferase reporter constructs containing wild-type and mutated binding sites
Transcription factor binding assays:
Chromatin immunoprecipitation (ChIP) using specific Runx2 antibodies
Electrophoretic mobility shift assays (EMSA) with recombinant Runx2
DNA pulldown assays with biotinylated SGMS1 promoter fragments
Expression correlation studies:
Modulate Runx2 expression using overexpression and knockdown approaches
Monitor effects on SGMS1 mRNA and protein levels using qRT-PCR and Western blot with HRP-conjugated antibodies
Perform time-course analysis during osteogenic differentiation
Functional validation:
This comprehensive approach establishes the direct transcriptional regulation of SGMS1 by Runx2 during osteogenic differentiation.
SGMS1 antibodies could advance neurodegeneration research through:
Expression profiling:
Comparative analysis of SGMS1 levels in affected vs. unaffected brain regions
Correlation with disease progression markers
Cell type-specific expression in neurons vs. glia
Mechanistic investigations:
Ceramide accumulation as a neurotoxicity mechanism
Sphingomyelin depletion effects on membrane microdomain integrity
Impact on amyloid precursor protein processing and trafficking
Therapeutic target validation:
Monitor SGMS1 modulation as a potential intervention
Track ceramide/sphingomyelin ratio changes in response to treatments
Correlate with neuroprotection markers
Biomarker development:
This research direction could provide new insights into lipid metabolism dysregulation in neurodegenerative conditions.
Emerging methodologies for improved SGMS1 detection include:
Proximity ligation assays:
Combining SGMS1 antibodies with organelle markers for subcellular localization
Detecting protein-protein interactions with sphingolipid metabolism partners
Quantifying co-localization events in fixed tissue samples
Mass spectrometry immunoprecipitation:
Using SGMS1 antibodies for pulldown followed by mass spectrometry
Identifying post-translational modifications and interaction partners
Quantifying absolute protein levels with labeled standards
Multiplex imaging approaches:
Cyclic immunofluorescence with SGMS1 and pathway components
Mass cytometry (CyTOF) for single-cell sphingolipid enzyme profiling
Spatial transcriptomics correlated with protein expression
CRISPR knock-in strategies: