SCS7 Antibody

Shipped with Ice Packs
In Stock

Description

Functional Role in Sphingolipid Biosynthesis

SCS7 performs two critical enzymatic functions:

  1. Fatty Acid Hydroxylation: Introduces a hydroxyl group (-OH) to the ω-position of VLCFAs in ceramides, a modification essential for membrane fluidity and signaling .

  2. Cooperation with SUR2: Works alongside SUR2 (which hydroxylates the sphingoid base) to generate complex sphingolipids. These lipids are vital for yeast cell wall integrity and stress responses .

Research Findings on SCS7 Mutants

Studies using SCS7 deletion mutants (scs7Δ) have revealed:

Table 2: Phenotypic and Functional Insights from scs7Δ Mutants

ObservationImplicationSource
Loss of VLCFA hydroxylationAccumulation of non-hydroxylated ceramides, altering membrane properties
Suppression of csg2Δ Ca²⁺ sensitivityHighlights functional redundancy in sphingolipid mannosylation pathways
No growth defect under standard conditionsNon-essential role in viability; critical under stress

Applications in Microbial Biochemistry Research

SCS7 antibodies are pivotal in:

  • Localization Studies: Tracking SCS7 expression in yeast membranes during lipid metabolic cycles.

  • Mechanistic Analyses: Validating SCS7 knockout strains to dissect hydroxylation-dependent pathways.

  • Drug Discovery: Screening for inhibitors targeting sphingolipid biosynthesis in pathogenic fungi .

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
SCS7 antibody; FAH1 antibody; YMR272C antibody; YM8156.14C antibody; Ceramide very long chain fatty acid hydroxylase SCS7 antibody; Ceramide VLCFA hydroxylase SCS7 antibody; 4-hydroxysphinganine ceramide fatty acyl 2-hydroxylase SCS7 antibody; EC 1.14.18.6 antibody; Dihydroceramide fatty acyl 2-hydroxylase SCS7 antibody; EC 1.14.18.7 antibody; Sphingolipid alpha-hydroxylase antibody; Suppressor of calcium sensitivity 7 antibody
Target Names
SCS7
Uniprot No.

Target Background

Function
Ceramide hydroxylase plays a role in the hydroxylation of very long chain fatty acids associated with sphingolipids. It is hypothesized to catalyze the hydroxylation of the very long chain fatty acid in dihydroceramides and phytoceramides at carbon position 2.
Database Links

KEGG: sce:YMR272C

STRING: 4932.YMR272C

Protein Families
Sterol desaturase family, SCS7 subfamily
Subcellular Location
Endoplasmic reticulum membrane; Multi-pass membrane protein.

Q&A

What are the major autoantibodies associated with Systemic Sclerosis?

Systemic Sclerosis is characterized by several well-defined autoantibodies that serve as important diagnostic and prognostic markers. Serum autoantibodies directed against multiple intracellular antigens are present in more than 95% of SSc patients and are considered a hallmark of this disease . The major SSc-specific autoantibodies include anti-centromere antibodies (ACA), anti-topoisomerase I (anti-Scl-70), and anti-RNA polymerase III antibodies.

Additionally, other autoantibodies may be present in SSc patients, particularly those with overlap syndromes. These include anti-U1-RNP, anti-PM/Scl, anti-Ku, anti-SS-A/Ro60, anti-Ro52/TRIM21, and anti-NOR 90 . Recent research has also identified potentially pathogenic autoantibodies such as anti-platelet-derived growth factor (PDGF) receptor antibodies, anti-endothelial cells antibodies (AECA), anti-fibroblast, anti-angiotensin type 1 receptor (AT1R), and endothelin-1 type A receptor (ETAR) .

How are anti-Scl-70 (anti-topoisomerase I) antibodies detected in laboratory settings?

Four primary methods are currently employed for the detection of anti-topoisomerase I antibodies (ATA): immunodiffusion, western blotting, immunoprecipitation, and enzyme-linked immunosorbent assay (ELISA) . While immunodiffusion has traditionally been considered the gold standard, ELISA has become increasingly popular due to its time efficiency and cost-effectiveness .

In research settings, newer methodologies include line immunoassays (LIA) and addressable laser bead immunoassay (ALBIA), which allow for the simultaneous detection of multiple autoantibodies. For instance, a study of Italian SSc patients utilized a commercially available LIA for the simultaneous detection of 13 SSc-associated autoantibodies . These multiplex platforms have enhanced the ability to detect coexisting autoantibodies in research cohorts.

What is the clinical significance of anti-Scl-70 antibodies in SSc?

Anti-Scl-70 antibodies are highly specific for SSc and are associated with distinct clinical phenotypes. These antibodies are particularly associated with diffuse cutaneous SSc (dcSSc) and a higher risk of developing interstitial lung disease .

What are the current methods for developing humanized anti-Scl-70 antibodies?

Developing humanized anti-Scl-70 antibodies involves several sophisticated approaches. One prominent method employs immunizing mice with recombinant human Scl-70 protein, followed by harvesting spleen cells to develop chimeric antibodies . In a recent study, researchers immunized female Balb/c mice with recombinant human Scl-70 protein expressed by recombinant baculovirus infection of Spodoptera frugiperda Sf9 insect cells . The mice received multiple boosters over a 2-week interval schedule to maximize antibody response.

Following immunization, researchers can employ variable region cloning and humanization techniques. This involves isolating the variable regions (VH and VL) from murine antibodies and grafting them onto human antibody frameworks . The resulting human-murine chimeric antibodies retain the specificity of the original murine antibodies while reducing heterologous interference, making them more suitable for diagnostic applications.

What are the technical considerations when comparing different immunoassays for autoantibody detection?

When comparing immunoassays for autoantibody detection in SSc, researchers must consider several critical factors. The standardization of immunoassays is paramount, as different platforms can yield varying results . Immunodiffusion, while considered a gold standard, has limitations in terms of sensitivity and throughput compared to newer methodologies like ELISA, LIA, and ALBIA.

Researchers should evaluate the specificity of each assay for their target autoantibody. For example, in an Italian cohort study using a commercial LIA, all tested autoantibodies except anti-Ro52/TRIM21 (which showed a specificity of only 50%) exhibited very high specificity for SSc, ranging from 93.3% for anti-PMScl-75 to 100% for anti-PDGFR, AFA, and anti-RP-11 .

Additionally, cut-off values must be carefully established and validated across different patient populations. The detection of coexisting autoantibodies varies significantly between assay platforms, with one study reporting that 17% of SSc patients had two coexisting autoantibodies, while only 4% had three or more when using ALBIA methodology . This variability underscores the need for clear reporting of assay characteristics and standardized protocols across research centers.

How do researchers address the coexistence of multiple autoantibodies in SSc patients?

The coexistence of multiple autoantibodies in SSc patients presents significant analytical challenges that researchers must address methodically. Historically, SSc-specific autoantibodies were considered mutually exclusive, but with the advent of more sensitive detection methods, this paradigm has shifted significantly . Recent studies employing multiplexed assays have revealed that the simultaneous presence of two autoantibodies occurs in approximately 17% of SSc patients, while three or more autoantibodies coexist in about 4% of patients .

To properly analyze this phenomenon, researchers should employ hierarchical clustering analyses to identify patterns of autoantibody co-occurrence. When evaluating coexisting autoantibodies, it's essential to distinguish between major SSc-specific autoantibodies (ACA, anti-Scl-70, anti-RNA polymerase III) and those associated with overlap syndromes (anti-U1-RNP, anti-PM-Scl, anti-Ku, anti-Ro60/SS-A, anti-Ro52/TRIM21, and anti-NOR 90) .

For instance, in an Italian cohort study, anti-PMScl-75 was found to coexist with ACA in seven sera and with other autoantibodies in seven additional sera, while antibodies directed to both PMScl-75 and PMScl-100 were detected simultaneously in nine patients . Such detailed analysis of coexistence patterns can provide insights into disease heterogeneity and potentially identify clinically relevant autoantibody clusters.

What factors influence the sensitivity and specificity of autoantibody testing in SSc?

Multiple factors impact the sensitivity and specificity of autoantibody testing in SSc, requiring careful consideration during research design and data interpretation. Ethnicity and geographic region significantly influence autoantibody profiles, with prevalence rates varying across different populations . Similarly, immunogenetic markers can predispose certain patients to develop specific autoantibodies, affecting test sensitivity in genetically diverse cohorts.

The choice of autoantigen preparation is crucial, as recombinant proteins may lack post-translational modifications present in native antigens, potentially affecting antibody binding and assay performance . For example, when developing anti-Scl-70 assays, researchers should consider using Scl-70 protein expressed in eukaryotic systems (such as baculovirus-infected insect cells) to maintain proper protein folding and modifications .

Immunoassay methodology also significantly impacts results. Studies have demonstrated that EC50 values (half maximal effective concentration) for humanized anti-Scl-70 antibodies (0.04311 μg/mL, 0.02719 μg/mL, and 0.03683 μg/mL for three different chimeric antibodies) can be lower than those of patient serum (0.08483 μg/mL), indicating superior sensitivity of engineered antibodies for certain applications . Researchers should clearly report assay cut-off values, reference standards, and analytical performance characteristics to facilitate cross-study comparisons.

How can researchers standardize autoantibody measurements across different research centers?

Standardizing autoantibody measurements across research centers requires implementing rigorous protocols and quality control measures. First, researchers should establish consensus on reference materials, utilizing well-characterized positive and negative controls. Recent advances in developing humanized monoclonal antibodies as substitutes for patient serum offer promising standardization tools, as these reagents demonstrate high specificity, minimal inter-batch variation, and suitability for industrial mass production .

The development of chimeric Scl-70-specific humanized antibodies provides reagents with defined characteristics that can serve as calibrators across different laboratories . These engineered antibodies show no cross-binding with other antinuclear antibody antigens, ensuring high specificity . Establishing international units of measurement for autoantibodies, similar to those used for other biomarkers, would facilitate result harmonization across studies.

Additionally, multi-center validation studies should be conducted to assess inter-laboratory variability and establish correction factors when necessary. Regular proficiency testing programs would help identify systematic biases between centers. Finally, standardized reporting formats should include detailed methodology descriptions, enabling accurate meta-analyses and reliable compilation of data from multiple research centers.

What are the key protocols for antibody development and characterization in SSc research?

Robust antibody development and characterization for SSc research requires a systematic approach spanning multiple methodologies. For immunizing animals to generate anti-Scl-70 antibodies, an effective protocol involves subcutaneous injection of 100 μg recombinant human Scl-70 protein, followed by four boosters of 50 μg at 2-week intervals, with a final 100 μg booster before harvesting spleen cells . This regimen has been shown to produce high antibody titers against the target antigen.

For antibody characterization, a comprehensive approach should include:

  • Affinity determination using enzyme-linked immunosorbent assay (ELISA) to calculate EC50 values

  • Specificity testing against a panel of relevant autoantigens to rule out cross-reactivity

  • Structural analysis of antibody-antigen binding interfaces using computational modeling techniques such as next-generation KIC loop modeling and rigid-backbone Rosetta Dock protocols

  • Electrostatic potential distribution analysis of the antibody protein surface to understand binding characteristics

In recent research, three-dimensional structural analysis of antibody paratopes and electrostatic surface properties has provided valuable insights into binding affinity differences between various anti-Scl-70 antibodies . These analyses revealed that the distribution and total amount of acidic and basic amino acids determine different isoelectric points (IEPs), which form the basis of electrostatic surface properties that influence antigen binding .

How should researchers design studies to evaluate the stability of autoantibodies over disease course?

Designing studies to evaluate autoantibody stability throughout SSc disease progression requires careful consideration of several methodological aspects. Longitudinal cohort studies with serial sampling at defined intervals (e.g., every 6-12 months) provide the most valuable data on autoantibody dynamics. These studies should include patients at various disease stages, from early to established SSc, and should capture detailed clinical information at each sampling point.

Sample handling and storage protocols must be standardized to prevent artificial variations in antibody measurements. Researchers should use consistent immunoassay platforms throughout the study duration, with regular quality control testing to detect any drift in assay performance. If assay changes are unavoidable, overlap testing using both methods should be performed to establish conversion factors.

Statistical approaches for analyzing longitudinal autoantibody data should include mixed-effects models to account for within-subject correlations. Researchers should analyze not only the presence/absence of autoantibodies but also quantitative changes in titers, as these may correlate with disease activity. Additionally, studies should explore whether certain therapeutic interventions impact autoantibody profiles, potentially providing insights into treatment mechanisms.

What approaches are recommended for studying potential pathogenic roles of autoantibodies?

Investigating the potential pathogenic roles of autoantibodies in SSc requires a multi-faceted experimental approach. In vitro studies should examine the functional effects of purified autoantibodies or humanized monoclonal equivalents on relevant cell types, including fibroblasts, endothelial cells, and immune cells. For example, researchers can assess whether anti-Scl-70 antibodies induce phenotypic changes in fibroblasts that promote fibrosis, a hallmark of SSc.

Animal models provide opportunities to study autoantibody pathogenicity in vivo. Passive transfer experiments, where purified autoantibodies are administered to animals, can reveal whether these antibodies directly induce disease manifestations. Alternatively, researchers can develop transgenic models that express human autoantibody targets to study the effects of autoantibody binding in a more physiological context.

Recent advances in developing humanized chimeric antibodies offer new tools for pathogenicity studies . These antibodies can be modified to isolate specific effector functions (e.g., by altering Fc regions) to determine which aspects of antibody biology contribute to tissue damage or dysfunction. Additionally, single-cell sequencing of B cells from SSc patients can identify autoantibody-producing clones and provide insights into their development and regulation.

What are the emerging techniques for autoantibody research in SSc?

Emerging technologies are revolutionizing autoantibody research in SSc, offering unprecedented depth and breadth of analysis. Autoantigen microarrays and proteome-wide approaches are enabling comprehensive autoantibody profiling beyond the traditional SSc-associated targets . These high-throughput platforms can identify novel autoantibody specificities that might contribute to disease heterogeneity and could serve as biomarkers for specific disease subsets.

Advanced antibody engineering techniques, including the development of chimeric antibodies with defined characteristics, represent a significant advancement for standardization and research applications . These engineered antibodies can serve as consistent reference standards and research tools, overcoming the limitations of patient-derived materials, which are often scarce and variable .

Computational modeling and structural biology approaches are providing new insights into autoantibody-antigen interactions at the molecular level . Three-dimensional structural analysis and electrostatic surface mapping of antibody paratopes can explain affinity differences and guide the rational design of improved diagnostic reagents . These techniques help elucidate the physicochemical basis of antibody specificity and cross-reactivity, which is essential for developing more precise diagnostic tools.

How might autoantibody profiling contribute to personalized medicine in SSc?

Autoantibody profiling has tremendous potential to advance personalized medicine approaches in SSc. Comprehensive autoantibody panels could stratify patients into clinically meaningful subgroups with distinct prognoses and treatment responses . Moving beyond simple presence/absence testing, quantitative assessment of autoantibody levels might provide more nuanced information about disease activity and progression risk.

The coexistence patterns of multiple autoantibodies, increasingly recognized with advanced detection methods, may define unique immunological signatures with clinical relevance . For example, the simultaneous presence of specific autoantibody combinations could indicate particular pathogenic mechanisms or predict specific organ involvement, guiding targeted therapeutic interventions.

Monitoring changes in autoantibody profiles during treatment could serve as pharmacodynamic biomarkers, helping clinicians assess therapeutic efficacy and make evidence-based decisions about treatment continuation or modification. Furthermore, pre-treatment autoantibody profiles might predict response to specific therapies, enabling more rational treatment selection and sparing patients from ineffective interventions with potential adverse effects.

What unanswered questions remain in SSc autoantibody research?

Despite significant advances, several critical questions remain unanswered in SSc autoantibody research. The temporal relationship between autoantibody development and disease onset is poorly understood—do autoantibodies precede clinical manifestations, potentially contributing to pathogenesis, or are they secondary phenomena reflecting tissue damage? Longitudinal studies in at-risk populations could help resolve this question and potentially identify pre-clinical biomarkers.

The mechanistic basis for the association between specific autoantibodies and distinct clinical phenotypes remains unclear . Understanding how antibodies with seemingly unrelated targets (e.g., nuclear antigens) correlate with specific organ involvement patterns would provide insights into disease pathophysiology and potentially reveal novel therapeutic targets.

The functional significance of autoantibody isotypes, subclasses, and glycosylation patterns has been inadequately explored in SSc. These molecular characteristics could influence pathogenicity and explain heterogeneity in disease manifestations among patients with the same autoantibody specificities. Additionally, the role of B cell abnormalities in the production of SSc-associated autoantibodies remains an active area of investigation, with potential implications for B cell-targeted therapies .

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.