SGCE Antibody, FITC conjugated

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Description

Overview of SGCE Antibody, FITC Conjugated

The SGCE antibody (Sarcoglycan, Epsilon) is a premium-quality rabbit monoclonal antibody designed to target epsilon-sarcoglycan (SGCE), a component of the sarcoglycan complex critical for muscle membrane stability. When conjugated with fluorescein isothiocyanate (FITC), it becomes a fluorescent probe for detecting SGCE in various assays, including flow cytometry, immunohistochemistry (IHC), and western blotting (WB).

Flow Cytometry

  • Detects intracellular SGCE in fixed/permeabilized cells.

  • Example: A549 and PC-3 cells stained with 1 µg antibody/1x10⁶ cells, followed by DyLight®488 secondary antibody .

Immunohistochemistry (IHC)

  • Validated on human breast and liver cancer tissues (2 µg/ml primary antibody, heat-mediated antigen retrieval) .

Western Blotting (WB)

  • Detects ~43 kDa SGCE band in lysates .

Research Findings

Role of SGCE in Disease

  • SGCE mutations are linked to myoclonus-dystonia and sarcoglycanopathies .

  • FITC-conjugated SGCE antibody aids in localizing pathogenic variants in muscle and tumor tissues .

FITC Labeling Optimization

  • Higher labeling indices (>6 FITC/antibody) correlate with reduced binding affinity and non-specific staining .

  • Studies recommend titrating FITC-to-antibody ratios (e.g., 10–400 µg FITC/mg antibody) to balance sensitivity and specificity .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchase method or location. Please consult your local distributors for specific delivery timelines.
Synonyms
SGCE; ESG; UNQ433/PRO840; Epsilon-sarcoglycan; Epsilon-SG
Target Names
SGCE
Uniprot No.

Target Background

Function
Epsilon-sarcoglycan (SGCE) is a component of the sarcoglycan complex, a subcomplex within the dystrophin-glycoprotein complex. This complex plays a crucial role in establishing a link between the F-actin cytoskeleton and the extracellular matrix.
Gene References Into Functions
  1. Studies using iPSC-derived cortical neurons with SGCE mutations have shown that these cells effectively mirror the endogenous environment in the myoclonus-dystonia patient brain, particularly when examining specific molecular aspects of the disease mechanism. PMID: 28155872
  2. A novel nonsense mutation in SGCE was identified in a Japanese family afflicted with myoclonus-dystonia. PMID: 28707723
  3. Research has indicated that psychiatric features in Myoclonus Dystonia (MD) syndrome are not directly linked to the SGCE mutation itself but rather reflect the general disability associated with the clinical MD syndrome, irrespective of the specific SGCE mutation. PMID: 28690014
  4. SGCE mutations can manifest in a wide range of clinical symptoms both between and within families. Consequently, MDS should be considered as a potential diagnosis for patients presenting with paroxysmal walking abnormalities or myoclonic movements. PMID: 25868953
  5. Research confirms that SGCE mutations are most commonly identified in Myoclonus dystonia syndrome patients who exhibit an age of onset before 10 years and predominant upper body involvement of a pure myoclonus-dystonia. PMID: 25209853
  6. One patient was found to possess a novel heterozygous frameshift mutation in the DYT11 gene. PMID: 25150291
  7. The simultaneous occurrence of seizures and myoclonus-dystonia suggests that both conditions may stem from the same underlying SGCE mutation. PMID: 24297365
  8. A novel frameshift mutation in the SGCE gene was identified in an Iranian family with Myoclonus-dystonia syndrome, highlighting the variability of clinical symptoms caused by the same mutation within family members. PMID: 25034659
  9. A significant mutation in exon 3 of the SGCE gene was discovered in patients with myoclonus-dystonia syndrome. PMID: 23561547
  10. Findings suggest employing multiple ligation-dependent probe amplification (MLPA) for gene dosage analysis to identify large SGCE deletions that could be responsible for complex phenotypes. PMID: 23677909
  11. SGCE mutations have been linked to a specific psychiatric phenotype, characterized by compulsivity, anxiety, and alcoholism, alongside the typical motor phenotype. PMID: 23365103
  12. While reduced penetrance in DYT11-MD has been attributed to maternal imprinting epsilon-sarcoglycan mutations, carriers of the NM-DYT11 gene exhibit significant metabolic abnormalities that cannot be explained by this genetic model. PMID: 23284065
  13. Anxiety disorders and executive dysfunctions may be part of the phenotype in myoclonus-dystonia patients with a DYT11 mutation. PMID: 22626943
  14. Review findings confirm the association of epsilon-sarcoglycan gene mutations with psychiatric disorders and suggest a possible separation of the motor and psychiatric effects. PMID: 21713999
  15. This report presents a novel mutation in the SGCE gene responsible for myoclonus dystonia and expands the phenotype of myoclonus dystonia to include alcohol-induced dystonia. PMID: 22026499
  16. The severity of dystonia in 25 clinically affected DYT11 mutation carriers correlates strongly with increased gray matter volume in both putamina. PMID: 21219543
  17. Research has demonstrated that familial 7q21.3 microdeletion involving epsilon-sarcoglycan causes myoclonus dystonia, cognitive impairment, and psychosis. PMID: 21425342
  18. The mRNA expression level of SGCE was found to be significantly up-regulated in tumorous liver tissues compared to their corresponding nontumorous counterparts. PMID: 21767414
  19. This study provides the first neurophysiological evidence of cerebellar dysfunction in DYT11 dystonia, supporting a role of cerebellar dysfunction in the myoclonus-dystonia phenotype. PMID: 21386109
  20. Biased SGCE gene expression is based on the parent of origin rather than a strictly dichotomous maternal imprinting mechanism, consistent with clinical observations. PMID: 21320983
  21. Loss of function in the brain-specific SGCE isoform underlies the exclusively neurological myoclonus-dystonia phenotype. PMID: 21157498
  22. Bilateral deep brain stimulation of the internal pallidum has proven to be a safe and highly effective therapy in a homogeneous population of patients with myoclonus-dystonia resulting from genetically confirmed epsilon-sarcoglycan deficiency. PMID: 21220679
  23. This research identified three novel mutations of SGCE in three separate families with myoclonus-dystonia syndrome in Taiwan. PMID: 20800530
  24. MMP-7 and SGCE are distinct molecular factors in sporadic colorectal cancers arising from the mutator phenotype pathway. PMID: 20372795
  25. Evidence suggests that paternal expression of the epsilon-sarcoglycan gene accounts for reduced penetrance in myoclonus-dystonia. PMID: 12444570
  26. This report details the physiology and surgical response of a 63-year-old woman who underwent deep brain stimulation for myoclonus dystonia related to an SGCE mutation. PMID: 19896264
  27. A 33-month-old girl and her twin brother presented with myoclonus during intentional tasks. The family history was positive for the paternal uncle, his two daughters, and the paternal great grandfather. Sequencing revealed a novel nonsense mutation c.942C>A (p.Tyr314X) in exon 7. PMID: 19147379
  28. Myoclonus-dystonia syndrome: epsilon-sarcoglycan mutations and phenotype PMID: 12325078
  29. Myoclonus-dystonia is a movement disorder primarily linked to mutations in the epsilon-sarcoglycan gene (SGCE) in most families, while mutations in the DRD2 and DYT1 genes have been identified in two single families. PMID: 12402271
  30. Placental transcription from SGCE remained unchanged throughout pregnancy. PMID: 12620933
  31. A severe myoclonus-dystonia syndrome characterized by obsessive-compulsive disorder, depression, and anxiety was shown to be associated with a novel truncating mutation located within exon 4 of SGCE. PMID: 12707948
  32. Genetic analysis of a five-generation Dutch family with inherited myoclonus-dystonia revealed a 1-bp insertion (885Tins) in exon 7 of the SGCE gene, leading to a frameshift and subsequent protein truncation at amino acid 297. PMID: 12821748
  33. The study describes three children with a similar clinical picture of autosomal dominant M-D, with an SGCE mutation detected in only one of them, suggesting that M-D is genetically heterogeneous. PMID: 14978685
  34. Mutations were not found to be associated with sporadic Gilles de la Tourette syndrome. PMID: 15627203
  35. Three new mutations were identified in patients with essential myoclonus or myoclonic dystonia: R372X, 564-576del, and IVS3-3T>C. PMID: 15728306
  36. Onset with both myoclonus and dystonia, as well as axial dystonia, were observed significantly more frequently in carriers of the epsilon-sarcoglycan mutation. PMID: 16534121
  37. Certain Myoclonus-dystonia syndrome-associated mutations in SGCE hinder the trafficking of the mutated protein to the plasma membrane. PMID: 17200151
  38. A heterozygous point mutation in the epsilon-sarcoglycan gene was identified, resulting in the skipping of exon 5 in a family with myoclonus-dystonia syndrome complicated by severe depression. PMID: 17230465
  39. Obsessive-compulsive disorder and alcohol dependence have been associated with individuals carrying mutated SGCE. PMID: 17296918
  40. The findings are insufficient to conclude whether distinct SGCE mutations could lead to differing phenotypes of myoclonus-dystonia. PMID: 17394244
  41. A Korean family with Myoclonus-dystonia syndrome exhibited a novel splicing mutation of the SGCE gene and a unique phenotype mimicking Moya-Moya disease. PMID: 17394247
  42. Autosomal dominant myoclonus-dystonia and Tourette syndrome were observed in a family without linkage to the SGCE gene. PMID: 17702041
  43. Two additional patients carried a de novo SGCE nonsense mutation in exon 3 (R97X) and a novel SGCE missense mutation in exon 6 (G227V) in this study. PMID: 17702043
  44. The size of the genomic deletion at the epsilon-sarcoglycan locus determines the clinical phenotype in myoclonus-dystonia. PMID: 17898012
  45. Intragenic deletions within SGCE highlight the importance of including exonic copy number variation when conducting mutational analysis of SGCE. PMID: 18098280
  46. Real-time PCR revealed that ethanol significantly altered the expression of genes involved in cell adhesion. There was an increase in the expression of alpha and beta Laminins 1, beta Integrins 3 and 5, Secreted phosphoprotein1, and Sarcoglycan epsilon. PMID: 18162078
  47. Myoclonus-dystonia caused by SGCE protein mutations is characterized by early-onset myoclonic jerks, often accompanied by dystonia. PMID: 18175340
  48. Two heterozygous deletions of the entire SGCE gene and flanking DNA, and a heterozygous deletion of exon 2 only were detected, accounting for 33% (3/9) of the mutations identified. PMID: 18205193
  49. No association was found between the SCGE coding and flanking intronic region in OCD and/or GTS or CMT. The functional relevance of a newly discovered c.1314+172T>C 3'-untranslated region variant remains to be determined. PMID: 18349702
  50. Muscle involvement is not observed in myoclonus-dystonia caused by epsilon-sarcoglycan gene mutations. PMID: 18355305

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Database Links

HGNC: 10808

OMIM: 159900

KEGG: hsa:8910

UniGene: Hs.371199

Involvement In Disease
Dystonia 11, myoclonic (DYT11)
Protein Families
Sarcoglycan alpha/epsilon family
Subcellular Location
Cell membrane, sarcolemma; Single-pass membrane protein. Cytoplasm, cytoskeleton. Cell projection, dendrite. Golgi apparatus.
Tissue Specificity
Ubiquitous.

Q&A

What is SGCE and why is it an important research target?

SGCE (Sarcoglycan, epsilon) is a 49.9 kDa protein consisting of 437 amino acid residues in humans. It is a critical component of the sarcoglycan complex, which forms part of the dystrophin-glycoprotein complex linking the F-actin cytoskeleton to the extracellular matrix. SGCE is primarily localized in the cell membrane, Golgi apparatus, and cytoplasm, with expression across multiple tissue types . Its significance in research stems from its role in maintaining cellular structural integrity and its implications in various pathological conditions, including myopathies and neurological disorders.

What are the key characteristics of FITC as a conjugate for antibodies?

FITC (Fluorescein Isothiocyanate) is a widely used fluorochrome with distinctive spectral properties: excitation peak at approximately 495nm and emission peak at 525nm, producing a visible yellow-green fluorescence . The popularity of FITC in antibody conjugation stems from several advantages:

  • Relatively straightforward conjugation chemistry that typically preserves biological activity of the labeled protein

  • Strong fluorescence signal with good quantum yield

  • Compatibility with standard fluorescence microscopy equipment and filter sets

  • Well-established protocols for detection and analysis

  • Suitable for multiple applications including immunofluorescence, flow cytometry, and immunohistochemistry

What is the typical composition of commercially available SGCE-FITC antibodies?

Commercially available SGCE antibodies conjugated to FITC typically have the following characteristics:

  • Host species: Commonly rabbit, especially for polyclonal antibodies

  • Clonality: Both polyclonal and monoclonal options are available

  • Immunogen: Usually recombinant human Epsilon-sarcoglycan protein fragments (e.g., AA 8-126)

  • Purification method: Typically protein G purification with >95% purity

  • Formulation: Liquid formulation in buffer systems with preservatives

  • Reactivity: Primary reactivity with human SGCE, with some products offering cross-reactivity with mouse, rat and other species

The antibodies target specific amino acid sequences within the SGCE protein, with different products focusing on N-terminal, C-terminal, or internal epitopes .

What are the optimal applications for SGCE-FITC antibodies in research?

SGCE antibodies conjugated to FITC are particularly valuable for applications requiring direct visualization of the target protein, including:

  • Immunofluorescence microscopy: Direct one-step visualization of SGCE expression in fixed cells and tissues

  • Flow cytometry: Analysis of SGCE expression in cell populations

  • Confocal microscopy: High-resolution subcellular localization studies

  • Live cell imaging: When using membrane-impermeable antibody fragments for surface expression studies

The FITC conjugation eliminates the need for secondary antibody incubation steps, simplifying protocols and reducing background while allowing for multiplexing with other fluorophores in co-localization studies .

What protocol modifications are necessary when using FITC-conjugated SGCE antibodies compared to unconjugated antibodies?

When working with FITC-conjugated SGCE antibodies rather than unconjugated primary antibodies, several protocol modifications are essential:

  • Light protection: Shield the antibody and samples from light exposure during all steps to prevent photobleaching

  • Simplified workflow: Eliminate the secondary antibody incubation step typically required with unconjugated primary antibodies

  • Dilution optimization: FITC-conjugated antibodies may require different optimal dilutions than their unconjugated counterparts (typically 1:500 in PBS containing 10% FBS for immunofluorescence)

  • Reduced incubation time: Direct detection often allows for shorter incubation periods (approximately 1 hour at room temperature) compared to two-step detection systems

  • Modified blocking: Maintain effective blocking to minimize non-specific binding, using PBS with 10% FBS or similar blocking solutions

  • Storage considerations: Store at recommended temperatures (typically 2-8°C) in the dark to maintain conjugate stability

How can I verify the specificity of SGCE-FITC antibody staining in my experiments?

Validating the specificity of SGCE-FITC antibody staining is critical for reliable research outcomes. Implement these methodological approaches:

  • Negative controls:

    • Include samples known to be negative for SGCE expression

    • Use isotype-matched FITC-conjugated control antibodies to assess non-specific binding

    • Implement peptide blocking by pre-incubating the antibody with excess immunizing peptide

  • Positive controls:

    • Include samples with confirmed SGCE expression

    • Compare staining patterns with published literature or antibody manufacturer's reference images

  • Complementary techniques:

    • Validate SGCE expression using orthogonal methods such as Western blotting or RT-PCR

    • Employ siRNA knockdown of SGCE to demonstrate reduced staining

  • Co-localization studies:

    • Use antibodies against known SGCE-interacting proteins to confirm expected co-localization patterns

    • Employ multiple antibodies targeting different SGCE epitopes to verify consistent staining patterns

What factors might contribute to weak or absent signal when using SGCE-FITC antibodies?

Several experimental factors could lead to weak or absent fluorescence signal when using SGCE-FITC antibodies:

  • Photobleaching: Excessive exposure to light during storage, handling, or examination can significantly reduce FITC fluorescence

  • Target accessibility issues:

    • Insufficient permeabilization for intracellular targets

    • Inadequate antigen retrieval in fixed tissues

    • Epitope masking due to protein-protein interactions or post-translational modifications

  • Technical factors:

    • Suboptimal antibody concentration

    • Expired or degraded antibody

    • Incompatible fixation method damaging the epitope

    • Improper microscope filter settings for FITC detection

  • Biological factors:

    • Low expression levels of SGCE in the sample

    • Expression variations across different cell types or developmental stages

    • Epitope sequence variations across species if working with non-human samples

For methodological resolution, systematic optimization of fixation conditions, permeabilization parameters, antibody concentration, and incubation times is recommended, along with careful protection from light throughout all experimental steps .

How can I minimize background fluorescence when using SGCE-FITC antibodies?

High background is a common challenge with immunofluorescence techniques. The following methodological approaches can help minimize background when using SGCE-FITC antibodies:

  • Optimize blocking conditions:

    • Use 10% serum (matching the species in which the secondary antibody was raised) in PBS

    • Consider alternative blocking agents such as BSA, casein, or commercial blocking buffers

    • Extend blocking time to 30-60 minutes at room temperature

  • Antibody optimization:

    • Titrate the FITC-conjugated antibody to determine the minimal effective concentration

    • Reduce incubation time if overstaining is observed

    • Perform additional washing steps with PBS after antibody incubation

  • Sample preparation refinements:

    • Ensure complete fixation to reduce autofluorescence from cellular components

    • Remove residual fixative thoroughly before antibody application

    • Include 0.1-0.3% Triton X-100 in wash buffers to reduce non-specific hydrophobic interactions

  • Specific countermeasures for autofluorescence:

    • Treat samples with sodium borohydride (1mg/ml for 10 minutes) to reduce aldehyde-induced autofluorescence

    • Use Sudan Black B (0.1-0.3% in 70% ethanol) to quench lipofuscin-based autofluorescence

    • Consider spectral unmixing during image acquisition if using confocal microscopy

Is the FITC conjugation likely to affect the binding properties of the SGCE antibody?

The impact of FITC conjugation on SGCE antibody binding properties depends on several factors:

  • Conjugation chemistry: FITC typically attaches to primary amines (lysine residues) and N-terminal amino groups in the antibody. The degree of modification and specific lysines affected influence the potential impact on antigen recognition .

  • Conjugation ratio: The FITC:antibody ratio (typically 3-8 FITC molecules per antibody) can impact binding:

    • Too few FITC molecules may yield insufficient signal

    • Too many FITC molecules may sterically hinder antigen binding

  • Epitope location: If conjugation occurs near the antigen-binding site, there is a higher likelihood of affecting binding properties.

When absolute preservation of binding characteristics is critical, researchers can consider:

  • Using indirect detection with unconjugated primary SGCE antibody and FITC-conjugated secondary antibody

  • Employing site-directed conjugation technologies that target specific regions away from antigen-binding sites

  • Validating binding characteristics through comparative studies with unconjugated antibodies

How can SGCE-FITC antibodies be utilized in multiplex immunofluorescence studies?

SGCE-FITC antibodies can be effectively incorporated into multiplex immunofluorescence protocols to simultaneously visualize multiple targets. Consider these methodological approaches:

  • Spectral compatibility planning:

    • FITC emissions (525nm) pair well with fluorophores such as Cy3 (570nm), Cy5 (670nm), or DAPI (455nm)

    • Ensure minimal spectral overlap between chosen fluorophores

    • Consider the following optimal combination: DAPI (nuclei), FITC (SGCE), Cy3 (protein of interest 1), Cy5 (protein of interest 2)

  • Sequential staining protocols:

    • For antibodies raised in the same species, implement sequential staining with thorough blocking between steps

    • Consider tyramide signal amplification for sequential staining to prevent cross-reactivity

    • Order antibody application from weakest to strongest signal when possible

  • Advanced visualization techniques:

    • Employ spectral unmixing algorithms for fluorophores with partial overlap

    • Utilize confocal microscopy with narrow bandpass filters for optimal channel separation

    • Consider superresolution microscopy for co-localization studies requiring nanometer precision

  • Controls for multiplex experiments:

    • Include single-stained controls for each fluorophore

    • Implement fluorescence minus one (FMO) controls to assess bleed-through

    • Use computational methods to correct for any residual crosstalk between channels

This approach allows researchers to examine the relationship between SGCE and other proteins of interest within the same cellular compartments .

What approaches can be used to study SGCE protein dynamics using FITC-conjugated antibodies?

Studying SGCE protein dynamics requires specialized techniques that preserve the temporal and spatial resolution of protein behavior. Consider these methodological approaches when using FITC-conjugated antibodies:

  • Live cell imaging applications:

    • Generate FITC-conjugated Fab fragments or nanobodies against SGCE for membrane-impermeable live imaging of surface expression

    • Microinjection of FITC-conjugated antibodies for intracellular tracking

    • Combine with photobleaching techniques such as FRAP (Fluorescence Recovery After Photobleaching) to measure mobility

  • Pulse-chase experiments:

    • Use FITC-conjugated antibodies to label surface SGCE at specific timepoints

    • Chase with differently labeled antibodies to track protein turnover and trafficking

    • Quantify internalization rates and recycling dynamics

  • Super-resolution microscopy:

    • Implement STORM or PALM techniques using photo-switchable FITC derivatives for nanoscale resolution

    • Track SGCE distribution and clustering at the membrane with precision beyond the diffraction limit

    • Analyze co-clustering with other sarcoglycan complex components

  • Quantitative approaches:

    • Employ ratiometric analysis with reference fluorophores to control for expression level variations

    • Implement automated tracking algorithms to follow SGCE-positive vesicles or membrane domains

    • Correlate fluorescence intensity with protein concentration using calibration standards

These approaches allow researchers to move beyond static localization studies to understand the dynamic behavior of SGCE in cellular contexts .

How can flow cytometry be optimized for SGCE-FITC antibody detection?

Flow cytometry with SGCE-FITC antibodies requires specific optimization strategies for reliable detection and quantification:

  • Instrument setup and compensation:

    • Use FITC single-stained controls to set appropriate voltage for the 530/30nm detector

    • Implement compensation if using multiple fluorophores to correct for spectrum overlap

    • Consider the use of fluorescence standardization beads to establish reproducible settings

  • Cell preparation refinements:

    • Optimize fixation and permeabilization protocols specifically for SGCE detection

    • For intracellular SGCE, evaluate different permeabilization agents (Triton X-100, saponin, methanol) for optimal epitope accessibility

    • Maintain cell viability with gentle handling when detecting surface-expressed SGCE

  • Antibody titration and signal optimization:

    • Determine optimal antibody concentration through serial dilutions

    • Plot signal-to-noise ratio versus antibody concentration to identify the optimal point

    • Consider signal amplification systems for low abundance targets

  • Gating strategies and analysis:

    • Implement a sequential gating strategy: FSC/SSC → singlets → live cells → SGCE-positive population

    • Use fluorescence minus one (FMO) controls to set positive gates accurately

    • Consider density plots rather than histograms for better visualization of distinct populations

  • Data interpretation considerations:

    • Distinguish between surface and total SGCE expression through differential permeabilization

    • Correlate SGCE expression with other cellular markers to identify specific cell populations

    • Consider mean fluorescence intensity (MFI) rather than percent positive for quantitative comparisons

These methodological refinements ensure accurate detection and quantification of SGCE expression across different cell populations .

How can SGCE-FITC antibodies be used in conjunction with other molecular techniques?

SGCE-FITC antibodies can be integrated with complementary molecular techniques to provide comprehensive insights:

  • Correlation with gene expression data:

    • Couple immunofluorescence staining with in situ hybridization to correlate protein localization with mRNA expression

    • Follow up RNA-seq findings with SGCE-FITC antibody staining to validate expression patterns at the protein level

    • Implement single-cell approaches combining transcriptomics with indexed FACS sorting using SGCE-FITC antibodies

  • Proteomics integration:

    • Use SGCE-FITC antibodies for immunoprecipitation followed by mass spectrometry to identify interaction partners

    • Perform fluorescence-activated cell sorting (FACS) with SGCE-FITC antibodies to isolate specific cell populations for subsequent proteomic analysis

    • Validate proteomic findings through co-localization studies using SGCE-FITC with antibodies against identified partners

  • Functional assays:

    • Combine live-cell SGCE-FITC antibody staining with calcium imaging to correlate SGCE expression with cellular function

    • Use SGCE-FITC antibodies to identify positive cells for patch-clamp electrophysiology

    • Implement cell migration or invasion assays with SGCE-FITC antibody labeling to correlate expression with behavioral phenotypes

These integrated approaches provide multi-dimensional data that connect SGCE expression with functional outcomes and molecular mechanisms .

What are the considerations for using SGCE-FITC antibodies in tissue microarray analysis?

Tissue microarray (TMA) analysis with SGCE-FITC antibodies requires specific methodological considerations:

  • Tissue preparation and antigen retrieval:

    • Optimize fixation protocols to preserve both tissue architecture and SGCE epitopes

    • Evaluate different antigen retrieval methods (heat-induced vs. enzymatic) for optimal SGCE detection

    • Consider the impact of tissue type on autofluorescence when using FITC-conjugated antibodies

  • Staining protocol adaptations:

    • Implement automated staining platforms for consistent results across multiple TMA slides

    • Optimize antibody concentration specifically for TMA sections, which may differ from whole-mount tissues

    • Consider signal amplification methods for detecting low abundance SGCE

  • Quantification strategies:

    • Develop consistent scoring systems for SGCE positivity (intensity, percentage positive cells, H-score)

    • Implement digital pathology approaches with machine learning algorithms for unbiased quantification

    • Establish multi-observer validation protocols to ensure reproducibility

  • Data integration:

    • Correlate SGCE expression patterns with clinical parameters and outcomes

    • Implement statistical methods appropriate for TMA data analysis, accounting for missing cores and heterogeneity

    • Consider multiplexed approaches combining SGCE-FITC with other biomarkers for comprehensive profiling

These approaches enable high-throughput analysis of SGCE expression across large sample cohorts while maintaining data quality and reproducibility .

How do different fixation and permeabilization protocols affect SGCE-FITC antibody performance?

The choice of fixation and permeabilization methods significantly impacts SGCE-FITC antibody performance:

  • Fixation considerations:

    FixativeAdvantages for SGCE-FITC DetectionLimitations
    4% ParaformaldehydePreserves morphology while maintaining many epitopesCan mask some conformational epitopes
    MethanolExcellent for cytoskeletal proteins, good penetrationMay denature some epitopes, increases autofluorescence
    AcetoneRapid fixation, good for many membrane proteinsPoor morphological preservation
    GlutaraldehydeSuperior ultrastructural preservationSignificant autofluorescence, epitope masking
  • Permeabilization optimization:

    AgentConcentration RangeBest For
    Triton X-1000.1-0.5%Deep intracellular and nuclear antigens
    Saponin0.1-0.5%Gentle permeabilization for membrane proteins
    Digitonin0.001-0.1%Selective plasma membrane permeabilization
    Tween-200.1-0.3%Mild permeabilization for abundant antigens
  • Protocol optimization strategy:

    • Test multiple fixation and permeabilization combinations specifically for SGCE detection

    • Evaluate the balance between signal intensity and morphological preservation

    • Consider dual fixation protocols (e.g., brief paraformaldehyde followed by methanol) for challenging epitopes

    • Implement antigen retrieval methods to recover masked epitopes after stronger fixation

  • Specialized considerations for SGCE:

    • As a membrane-associated protein, SGCE detection may benefit from milder permeabilization agents

    • Consider different protocols for detecting different pools of SGCE (membrane vs. Golgi vs. cytoplasmic)

    • Optimize protocols separately for different tissue types due to varying matrix compositions

These methodological considerations are essential for maximizing signal while maintaining specificity and morphological context .

What controls should be included when using SGCE-FITC antibodies in research studies?

A comprehensive control strategy is essential for robust research using SGCE-FITC antibodies:

  • Antibody validation controls:

    • Positive control: Samples with confirmed SGCE expression (e.g., specific cell lines or tissues)

    • Negative control: Samples lacking SGCE expression or SGCE knockout/knockdown models

    • Peptide competition: Pre-incubation of SGCE-FITC antibody with immunizing peptide to confirm specificity

    • Isotype control: FITC-conjugated isotype-matched immunoglobulin to assess non-specific binding

  • Technical controls:

    • Secondary antibody only (if using indirect methods) to assess background

    • Autofluorescence control: Unstained sample to measure intrinsic fluorescence

    • Fluorescence spillover controls: Single-color controls for compensation in multicolor experiments

    • Fixation control: Processing control samples without primary antibody

  • Biological controls:

    • Developmental or treatment series to confirm expected SGCE expression changes

    • Related cell types with different expected SGCE expression levels

    • Tissue panel demonstrating expected expression pattern across multiple tissues

    • Complementary detection method (e.g., Western blot) to confirm specificity

  • Quantification controls:

    • Fluorescence calibration beads for standardization across experiments

    • Internal reference markers for normalization

    • Technical replicates to assess method reproducibility

    • Biological replicates to account for natural variation

This control framework ensures that observed signals represent genuine SGCE localization rather than artifacts .

How can researchers accurately quantify SGCE expression using FITC-conjugated antibodies?

Accurate quantification of SGCE expression using FITC-conjugated antibodies requires systematic methodological approaches:

  • Image acquisition standardization:

    • Maintain consistent exposure settings across all experimental groups

    • Use non-saturating acquisition parameters validated with intensity histograms

    • Implement flat-field correction to account for illumination heterogeneity

    • Acquire multiple fields per sample for statistical robustness

  • Analytical methods selection:

    • Mean fluorescence intensity (MFI) measurement in defined regions of interest

    • Cell-by-cell quantification for population distribution analysis

    • Colocalization coefficient calculation for relationship with other markers

    • Threshold-based quantification of positive area percentage

  • Normalization strategies:

    • Normalize to cell number using nuclear counterstain

    • Implement internal reference standards for cross-experiment comparison

    • Use ratiometric approaches with housekeeping proteins

    • Account for background through appropriate subtraction methods

  • Advanced quantification approaches:

    • Implement machine learning algorithms for unbiased segmentation and quantification

    • Consider 3D quantification for volumetric samples using z-stacks

    • Develop classification algorithms for phenotypic categorization

    • Employ high-content analysis for multiparametric assessment

  • Statistical analysis considerations:

    • Select appropriate statistical tests based on data distribution

    • Account for nested data structures in experimental design

    • Implement robust outlier detection methods

    • Consider statistical power calculations to determine sample size requirements

These approaches ensure that quantitative data accurately reflects biological SGCE expression levels rather than technical artifacts .

What are the key considerations for designing experiments to study SGCE localization and trafficking using FITC-conjugated antibodies?

Designing experiments to study SGCE localization and trafficking requires careful planning:

  • Experimental timeline planning:

    • Determine appropriate timepoints based on expected trafficking kinetics

    • Design pulse-chase experiments to follow protein movement over time

    • Plan appropriate intervals for live cell imaging to capture dynamic events

    • Consider developmental timepoints if studying SGCE expression changes during differentiation

  • Compartment marker selection:

    • Select appropriate markers for subcellular compartments:

      • Plasma membrane: Na+/K+ ATPase, WGA

      • Golgi apparatus: GM130, TGN46

      • Endosomes: EEA1 (early), Rab7 (late)

      • Lysosomes: LAMP1, LAMP2

      • Cytoskeleton: β-tubulin, F-actin

  • Trafficking pathway interrogation:

    • Implement temperature blocks to synchronize trafficking (e.g., 4°C to block endocytosis, 20°C to block ER-to-Golgi transport)

    • Use specific inhibitors of trafficking pathways (e.g., Brefeldin A for Golgi, Dynasore for endocytosis)

    • Consider photoactivatable or photoconvertible fusion proteins for pulse-chase experiments

    • Implement cargo loading assays to track internalization rates

  • Technical considerations:

    • Optimize temporal resolution based on expected trafficking rates

    • Balance spatial resolution needs with phototoxicity concerns for live imaging

    • Consider resonant scanning or spinning disk confocal for rapid events

    • Implement deconvolution algorithms to improve spatial resolution

  • Data analysis approaches:

    • Develop tracking algorithms for vesicular movement

    • Implement colocalization analysis with compartment markers

    • Quantify surface-to-internal ratios for internalization studies

    • Use fluorescence intensity profile analysis across cellular regions

These methodological considerations enable detailed characterization of SGCE localization and trafficking dynamics in cellular contexts .

How do modern super-resolution microscopy techniques enhance SGCE-FITC antibody imaging?

Super-resolution microscopy has revolutionized the capabilities of FITC-conjugated antibody imaging for SGCE research:

  • STED (Stimulated Emission Depletion) microscopy:

    • Achieves ~30-80nm resolution with FITC through selective depletion of excited fluorophores

    • Enables visualization of SGCE nanoclusters at the membrane previously obscured by diffraction limits

    • Allows direct observation of SGCE interaction with dystrophin-glycoprotein complex components

    • Implementation requires specific high-powered depletion lasers and appropriate mounting media to minimize photobleaching

  • STORM/PALM techniques:

    • Single-molecule localization microscopy achieves ~10-20nm resolution through temporal separation of fluorophore emissions

    • Requires photoswitchable FITC derivatives or immunolabeling with photoswitchable fluorophores after SGCE-FITC detection

    • Enables precise quantification of SGCE molecules per cluster and cluster dimensions

    • Requires specialized buffers containing oxygen scavenging systems and reducing agents

  • SIM (Structured Illumination Microscopy):

    • Achieves ~100-120nm resolution through computational reconstruction of patterned illumination data

    • More compatible with standard FITC-conjugated antibodies than other super-resolution techniques

    • Enables live-cell super-resolution imaging of SGCE dynamics with reduced phototoxicity

    • Provides modest resolution enhancement with minimal specialized sample preparation

  • Expansion microscopy:

    • Physically expands the specimen using swellable polymers to achieve ~70nm resolution with standard confocal microscopy

    • Compatible with conventional SGCE-FITC antibody staining followed by specimen expansion

    • Enables detailed visualization of SGCE distribution within complex cellular structures

    • Requires careful validation to ensure uniform expansion and epitope preservation

These super-resolution approaches provide unprecedented insights into SGCE nanoscale organization and interactions that were previously obscured by diffraction-limited conventional microscopy .

What emerging antibody technologies might enhance SGCE-FITC conjugate performance?

Several emerging antibody technologies show promise for enhancing SGCE detection:

  • Site-directed conjugation strategies:

    • Enzymatic conjugation using sortase or transglutaminase to attach FITC at specific sites

    • Click chemistry approaches for bioorthogonal conjugation away from antigen-binding regions

    • Engineered unnatural amino acid incorporation for precise FITC attachment

    • These approaches minimize impact on binding affinity while maintaining fluorescence properties

  • Alternative binding scaffolds:

    • Nanobodies (single-domain antibody fragments): Smaller size (~15kDa) enables better tissue penetration and reduced steric hindrance

    • Affimers: Non-antibody binding proteins selected for high specificity to SGCE epitopes

    • DARPins: Designed ankyrin repeat proteins with high stability and specificity

    • These alternatives often show superior performance in super-resolution microscopy applications

  • Brightness enhancement strategies:

    • DNA-point accumulation for imaging in nanoscale topography (DNA-PAINT) for transient binding and enhanced localization precision

    • Self-labeling protein tags allowing specific and stoichiometric fluorophore attachment

    • Fluorescent protein exchange technology allowing refreshable labeling for extended imaging

    • These approaches address the photobleaching limitations of conventional FITC conjugates

  • Multifunctional conjugates:

    • Dual-modality probes combining FITC with MRI contrast agents or radiotracers

    • Integration of FITC with proximity-based reporters (FRET, BiFC) for interaction studies

    • FITC-conjugated cyclic peptides as smaller alternatives to full antibodies

    • These hybrid approaches expand the research applications beyond conventional imaging

These technological advances offer potential solutions to current limitations in sensitivity, specificity, and photostability of SGCE-FITC antibody conjugates .

How might SGCE-FITC antibodies contribute to understanding disease mechanisms and therapeutic development?

SGCE-FITC antibodies offer significant potential for advancing disease research and therapeutic development:

  • Diagnostic applications:

    • Development of quantitative immunofluorescence assays for SGCE expression in patient samples

    • Correlation of altered SGCE localization patterns with disease progression

    • Implementation in high-throughput pathology workflows for screening

    • Potential for early detection of conditions with altered SGCE expression before symptom onset

  • Disease mechanism elucidation:

    • Characterization of SGCE mislocalization in myoclonus-dystonia syndrome and other movement disorders

    • Investigation of sarcoglycan complex assembly defects in muscular dystrophies

    • Analysis of SGCE dynamics in cellular stress responses and adaptation

    • Identification of altered SGCE-protein interactions in pathological states

  • Therapeutic development support:

    • Screening assays for compounds that rescue proper SGCE localization

    • Evaluation of gene therapy approaches targeting SGCE expression or localization

    • Assessment of protein replacement therapy efficacy through trafficking studies

    • Development of targeted drug delivery systems recognizing cells with altered SGCE expression

  • Translational research applications:

    • Correlation of SGCE expression patterns with clinical outcomes in longitudinal studies

    • Development of patient-derived organoid models with SGCE-FITC antibody-based readouts

    • Implementation in high-content screening platforms for personalized medicine approaches

    • Integration with other biomarkers for comprehensive disease profiling

These applications demonstrate how SGCE-FITC antibodies can bridge fundamental research with clinical applications, ultimately contributing to improved patient outcomes through enhanced understanding of disease mechanisms and therapeutic responses .

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