GSS catalyzes the ATP-dependent condensation of γ-glutamylcysteine and glycine to form glutathione (GSH), a tripeptide vital for:
Maintaining redox balance in cellular compartments
Mutations in the GSS gene cause glutathione synthetase deficiency, linked to hemolytic anemia, neurological dysfunction, and 5-oxoprolinuria .
Gerstmann–Sträussler–Scheinker (GSS) Disease: Anti-GSS antibodies identified dopaminergic neuron loss in GSS-P102L cases, correlating with prion protein (PrP) plaque deposition in the substantia nigra .
Bank Vole Model: GSS-associated PrP<sup>res</sup> isoforms (6–8 kDa) transmitted prion pathology efficiently, challenging prior assumptions about non-transmissibility .
Western Blotting: Detects GSS at ~52 kDa in human liver, mouse brain, and HEK-293 lysates .
Immunohistochemistry: Localizes GSS in renal tubules (human kidney) and neuronal populations .
Functional Studies:
Species Cross-Reactivity: Mouse-derived antibodies (e.g., ANT-645) may lack reactivity in non-human primates .
Storage Stability: Glycerol-based formulations (e.g., Proteintech’s 50% glycerol buffer) prevent freeze-thaw damage but require -20°C storage .
Ethical Restrictions: Commercial GSS antibodies are labeled "For Research Use Only," excluding diagnostic or therapeutic applications .
GSS (glutathione synthetase) is a 52 kDa protein composed of 474 amino acids, encoded by a gene located on human chromosome 20q11.2 . When working with GSS antibodies, researchers should expect to observe bands at approximately 52 kDa in Western blot applications. This molecular weight consistency has been confirmed across multiple antibody products and serves as a primary validation point . The homodimeric structure of functional GSS should be considered when designing experiments, as this may affect epitope accessibility in certain applications.
GSS antibodies have been extensively validated for multiple applications, with different antibodies showing varying performance profiles:
Western Blot (WB): Recommended dilutions range from 1:500-1:50000 depending on the specific antibody
Immunohistochemistry (IHC): Typical dilutions of 1:50-1:2000
Immunofluorescence (IF)/ICC: Optimal dilutions between 1:50-1:800
Each application requires specific optimization, and researchers should titrate the antibody in their particular testing system to obtain optimal results .
For optimal GSS detection in IHC applications, two primary antigen retrieval methods have been validated:
For paraffin-embedded tissues, specific protocols have been validated for mouse lung tissue and human liver cancer tissue . The choice between these methods may depend on tissue type and fixation procedure, with some antibodies showing differential performance with each method. Researchers should empirically determine the optimal retrieval method for their specific tissue samples.
Multiple cell lines have been validated as positive controls for GSS antibody testing:
Western Blot Positive Controls | Immunofluorescence Positive Controls |
---|---|
CHO cells | HeLa cells |
HEK-293 cells | MDCK cells |
HeLa cells | A549 cells |
HepG2 cells | Jurkat cells |
Jurkat cells | |
SiHa cells |
These validated cell lines provide reliable positive controls for antibody characterization experiments .
GSS antibodies show varying cross-reactivity profiles across species, which must be considered in experimental design:
Antibody Catalog # | Validated Species Reactivity |
---|---|
67598-1-Ig | Human, Mouse, Rat, pig, hamster |
15712-1-AP | Human, mouse, rat, pig, canine, hamster |
A00928-1 | Human, Mouse, Rat |
161654 | Human, Mouse, Rat |
For cross-species studies, researchers should select antibodies with validated reactivity in their target species. When working with non-validated species, preliminary validation experiments should be conducted to confirm reactivity and specificity .
Ensuring antibody specificity for GSS requires rigorous validation approaches:
Epitope mapping: Several antibodies target specific regions of GSS, such as C-terminal region-specific antibodies , providing higher specificity.
Cross-reactivity testing: High-quality GSS antibodies should show "no cross-reactivity with other proteins" , which can be validated through:
Western blot analysis with positive and negative control lysates
Immunoprecipitation followed by mass spectrometry
Competition assays with purified recombinant GSS protein
Biophysics-informed modeling: Recent advancements utilize "biophysics-informed modeling" to identify distinct binding modes associated with specific ligands, enabling the design of antibodies with customized specificity profiles .
GSS plays a critical role in the glutathione biosynthesis pathway, catalyzing the ATP-dependent condensation of γ-glutamylcysteine and glycine to form glutathione . Defects in GSS cause glutathione synthetase deficiency (also known as 5-oxoprolinuria or pyroglutamic aciduria), characterized by central nervous system damage, hemolytic anemia, and metabolic acidosis .
For studying these disorders, researchers can employ GSS antibodies in:
Tissue expression profiling: IHC analysis of GSS expression in affected tissues
Biochemical analysis: Quantifying GSS protein levels in patient samples by Western blot
Subcellular localization: Using IF/ICC to determine GSS distribution in affected cells
Protein-protein interaction studies: Immunoprecipitation to identify altered binding partners in disease states
These approaches can provide insights into the cellular mechanisms underlying GSS deficiency disorders.
Recent advances in antibody engineering have enabled the development of GSS antibodies with customized specificity profiles:
Biophysics-informed modeling: This approach combines "high-throughput sequencing and downstream computational analysis" to identify different binding modes associated with particular ligands, allowing for the design of antibodies with either:
Phage display optimization: Experiments involving "antibody selection against diverse combinations of closely related ligands" can generate variants with defined specificity profiles not present in initial libraries .
Computational prediction: Models trained on experimentally selected antibodies can predict outcomes for new ligand combinations and generate novel antibody variants with desired specificity .
These advanced methods allow researchers to design GSS antibodies with precisely defined binding characteristics for specialized research applications.
To minimize experimental artifacts when working with GSS antibodies:
Include multiple controls:
Optimize protocols for specific applications:
Apply biophysics-informed modeling: This approach can help "mitigate experimental artifacts and biases in selection experiments" by identifying and disentangling multiple binding modes .
Proper storage is critical for maintaining GSS antibody performance over time:
Storage temperature:
Storage buffer composition:
Aliquoting considerations:
Following these guidelines ensures maintenance of antibody specificity and sensitivity over time.
GSS antibodies require specific dilution ranges for optimal performance in different applications:
Application | Recommended Dilution Ranges |
---|---|
Western Blot | 1:500-1:50000 |
IHC | 1:50-1:2000 |
IF/ICC | 1:50-1:800 |
Flow Cytometry | 1:50-1:100 |
ELISA | Application-specific |
Importantly, researchers should "titrate each reagent to obtain optimal results" as performance can be sample-dependent . For Western blot applications, dilution optimization should consider factors like total protein loaded (typically 25-40μg per lane) and detection method (ECL, fluorescence-based).
GSS plays a vital role in glutathione synthesis, a key antioxidant that "protects cells from oxidative stress and maintains cellular redox balance" . GSS antibodies enable sophisticated studies of redox regulation:
Subcellular localization studies: GSS antibodies can be used to track changes in subcellular distribution of GSS in response to oxidative stress using immunofluorescence .
Protein-protein interaction networks: Immunoprecipitation with GSS antibodies can identify stress-induced changes in GSS interaction partners.
Expression level correlation: Combining GSS antibodies with antibodies against other redox-regulating proteins allows researchers to map coordinated expression changes across redox networks.
Stress response kinetics: Western blot analysis with GSS antibodies can quantify temporal changes in GSS expression following various oxidative insults, providing insights into cellular adaptive responses.
Recent developments in computational approaches are revolutionizing GSS antibody design:
Biophysics-informed modeling: This approach identifies "different binding modes, each associated with a particular ligand," enabling prediction and generation of specific variants beyond those observed in experiments .
Machine learning integration: Combining experimental data with computational models allows researchers to "predict outcomes for another [ligand combination]" and generate antibody variants with customized specificity profiles .
Binding mode disentanglement: Advanced computational tools can distinguish between binding modes associated with chemically similar ligands, enabling precise control over antibody specificity .