Tepsababart
Based on 1 Customer Validation
Tepsababart is a humanized monoclonal antibody against staphylococcal clumping factor A, which can be used in research on antibacterial infections.
Nur für Forschungszwecke. Wir verkaufen nicht an Patienten.
- Reinheit : 99.29%
- CAS. Nr.: 3050776-33-2
- Molecular Weight:145.693 kDa
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Speicherung:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biologische Aktivität
Beschreibung
Isotype
Human IgG1 kappa
Recommend Isotype Controls
Species Reactivity
Staphylococcus aureus
Gene ID
/ [NCBI]
Accession
Q6GB45
Target
ClfA
Conjugated
Unconjugated
Reconsititution
The product can be reconstituted/diluted with sterile PBS or saline.
Format
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IgG1-kappa
Anwendung
ELISA, FACS, Functional assay
Verified Bioactivity
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Immobilized Clumping factor A Protein, S. aureus (HY-P71581 ) can bind Tepsababart. The ED50 for this effect is 4.613 ng/mL.
Chemical Information
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CAS. Nr. 3050776-33-2
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Molecular Weight 145.693 kDa
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SMILES
[Tepsababart]
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Versand
Shipping with dry ice.
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Formulation
Please refer to the lot-specific COA for specific buffer information.
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Speicherung
Please store the product under the recommended conditions in the Certificate of Analysis.
Protokoll
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Research Protocol for Infectious Diseases
Infectious-disease experiments test how pathogens interact with host barriers, innate immune receptors, inflammatory signaling, pathogen replication, and tissue injury; pattern-recognition receptors such as TLRs, RIG-I-like receptors, NOD-like receptors, and inflammasomes detect microbial molecules and activate NF-κB, interferon, and cytokine responses. The central hypothesis is that infection severity reflects the balance between pathogen burden and host response: protective inflammation restricts pathogen growth, whereas excessive or mislocalized inflammation contributes to tissue damage and disease phenotype. Unresolved questions include which host pathways are protective versus pathogenic, why some infection models fail to translate to human disease, and which combined readouts best predict clinically relevant infection outcomes.
Reinheit & Dokumentation
Calculators
Konzentration (Stammlösung) × Volumen (Stammlösung) = Konzentration (Ziellösung) × Volumen (Ziellösung)