التفاصيل البيبلوغرافية
| العنوان: |
A monoclonal antibody collection for C. difficile typing ? |
| المؤلفون: |
Lise Hunault, Patrick England, Frédéric Barbut, Bruno Iannascoli, Ophélie Godon, François Déjardin, Christophe Thomas, Bruno Dupuy, Chunguang Guo, Lynn Macdonald, Guy Gorochov, Delphine Sterlin, Pierre Bruhns |
| المصدر: |
Gut Pathogens, Vol 16, Iss 1, Pp 1-9 (2024) |
| بيانات النشر: |
BMC, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Diseases of the digestive system. Gastroenterology |
| مصطلحات موضوعية: |
Clostridioides difficile, Monoclonal antibodies, S-layer, Hybridomas, Ribotypes, Diseases of the digestive system. Gastroenterology, RC799-869 |
| الوصف: |
Abstract Clostridioides difficile is the leading cause of antibiotic-associated diarrhea and pseudomembranous colitis in adults. Various C. difficile strains circulate currently, associated with different outcomes and antibiotic resistance profiles. However, most studies still focus on the reference strain 630 that does not circulate anymore, partly due to the lack of immunological tools to study current clinically important C. difficile PCR ribotypes. The goal of this study was to generate monoclonal antibodies recognizing various epidemic ribotypes of C. difficile. To do so, we immunized mice expressing human variable antibody genes with the Low Molecular Weight (LMW) subunit of the surface layer protein SlpA from various C. difficile strains. Monoclonal antibodies purified from hybridomas bound LMW with high-affinity and whole bacteria from current C. difficile ribotypes with different cross-specificities. This first collection of anti-C. difficile mAbs represent valuable tools for basic and clinical research. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1757-4749 |
| Relation: |
https://doaj.org/toc/1757-4749 |
| DOI: |
10.1186/s13099-023-00592-7 |
| URL الوصول: |
https://doaj.org/article/12c71e4666cf4f9a8f07c0d1ed079dd2 |
| رقم الانضمام: |
edsdoj.12c71e4666cf4f9a8f07c0d1ed079dd2 |
| قاعدة البيانات: |
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