دورية أكاديمية
The dengue-specific immune response and antibody identification with machine learning
| العنوان: | The dengue-specific immune response and antibody identification with machine learning |
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| المؤلفون: | Eriberto Noel Natali, Alexander Horst, Patrick Meier, Victor Greiff, Mario Nuvolone, Lmar Marie Babrak, Katja Fink, Enkelejda Miho |
| المصدر: | npj Vaccines, Vol 9, Iss 1, Pp 1-15 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Immunologic diseases. Allergy LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| مصطلحات موضوعية: | Immunologic diseases. Allergy, RC581-607, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| الوصف: | Abstract Dengue virus poses a serious threat to global health and there is no specific therapeutic for it. Broadly neutralizing antibodies recognizing all serotypes may be an effective treatment. High-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) and bioinformatic analysis enable in-depth understanding of the B-cell immune response. Here, we investigate the dengue antibody response with these technologies and apply machine learning to identify rare and underrepresented broadly neutralizing antibody sequences. Dengue immunization elicited the following signatures on the antibody repertoire: (i) an increase of CDR3 and germline gene diversity; (ii) a change in the antibody repertoire architecture by eliciting power-law network distributions and CDR3 enrichment in polar amino acids; (iii) an increase in the expression of JNK/Fos transcription factors and ribosomal proteins. Furthermore, we demonstrate the applicability of computational methods and machine learning to AIRR-seq datasets for neutralizing antibody candidate sequence identification. Antibody expression and functional assays have validated the obtained results. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2059-0105 |
| Relation: | https://doaj.org/toc/2059-0105 |
| DOI: | 10.1038/s41541-023-00788-7 |
| URL الوصول: | https://doaj.org/article/e8f1dd8a1f454833a2e7771ef700925c |
| رقم الأكسشن: | edsdoj.8f1dd8a1f454833a2e7771ef700925c |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20590105 |
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| DOI: | 10.1038/s41541-023-00788-7 |