CUHK242
CUHK242 is a bacterial transcription inhibitor, with a MIC of 2 μg/mL for B. subtilis reporter strain BS2019. CUHK242 has antimicrobial activity against Staphylococcus aureus. CUHK242 can inhibit RNA synthesis in cells, thereby simultaneously reducing protein synthesis.
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- CAS No.: 2408055-05-8
- Formule: C20H13Cl3N2O4S
- Masse moléculaire:483.75
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Stockage:
Please store the product under the recommended conditions in the Certificate of Analysis.
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Activité biologique
Description
Cellular Effect
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Cell Line
|
Type | Value | Description | References |
|---|---|---|---|---|
| A549 | CC50 |
75.7 μM
Compound: 54
|
Cytotoxicity against human A549 cells after 48 to 72 hrs by MTT assay
Cytotoxicity against human A549 cells after 48 to 72 hrs by MTT assay
|
[PMID: 32633513] |
| HepG2 | CC50 |
74.4 μM
Compound: 54
|
Cytotoxicity against human HepG2 cells after 48 to 72 hrs by MTT assay
Cytotoxicity against human HepG2 cells after 48 to 72 hrs by MTT assay
|
[PMID: 32633513] |
Chemical Information
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CAS No. 2408055-05-8
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Masse moléculaire 483.75
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Formule C20H13Cl3N2O4S
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SMILES
O=C(O)C1=CC=C(Cl)C=C1NCC2=CC=C(SC3=CC=C(Cl)C(Cl)=C3)C([N+]([O-])=O)=C2
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Livraison
Room temperature in continental US; may vary elsewhere.
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Stockage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocole
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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.
Pureté et documentation
Références
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)