Publication: Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level
| dc.contributor.author | Lopez, Daniel | |
| dc.contributor.author | Zumárraga, Javier | |
| dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | |
| dc.date.accessioned | 2025-03-26T11:05:00Z | |
| dc.date.available | 2025-03-26T11:05:00Z | |
| dc.date.issued | 2024-12-16 | |
| dc.description.abstract | Antigen recognition by human leukocyte antigen (HLA) restriction is critical for an adequate antiviral response in both natural infection and vaccination. However, the overwhelming polymorphism of HLA, with nearly 40,000 alleles identified, is an important limitation for the global analysis of cellular immune responses and vaccine efficacy. In this narrative review, we included several immunoinformatics studies performed in our laboratory to circumvent this limitation. These analyses focused on studying the cellular immune responses restricted by the most common HLA alleles, and their role in vaccine efficacy. Computational studies validated experimentally, such as our laboratory has carried out, represent a useful, rapid, and cost-effective strategy to combat future pandemics. | |
| dc.description.peerreviewed | Sí | |
| dc.description.sponsorship | This research was funded by the Spanish Ministry of Science and Innovation by “Acción Estratégica en Salud” MPY 388/18 and PID2023-151514OB-I00 to D.L. | |
| dc.format.number | 24 | |
| dc.format.page | 13477 | |
| dc.format.volume | 25 | |
| dc.identifier.citation | López D, Zumárraga J. Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level. Int J Mol Sci. 2024 Dec 16;25(24):13477. | |
| dc.identifier.doi | 10.3390/ijms252413477 | |
| dc.identifier.e-issn | 1422-0067 | |
| dc.identifier.journal | International journal of molecular sciences | |
| dc.identifier.pubmedID | 39769240 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12105/26576 | |
| dc.language.iso | eng | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/MPY388/18 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/PID2023-151514OB-I00 | |
| dc.relation.publisherversion | https://doi.org/10.3390/ijms252413477 | |
| dc.repisalud.centro | ISCIII::Centro Nacional de Microbiología (CNM) | |
| dc.repisalud.institucion | ISCIII | |
| dc.rights.accessRights | open access | |
| dc.rights.license | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | HLA | |
| dc.subject | SARS-CoV | |
| dc.subject | Cellular response | |
| dc.subject | Immunoinformatics | |
| dc.subject | Vaccine | |
| dc.subject.mesh | COVID-19 Vaccines | |
| dc.subject.mesh | COVID-19 | |
| dc.subject.mesh | Computational Biology | |
| dc.subject.mesh | HLA Antigens | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Immunity, Cellular | |
| dc.subject.mesh | Pandemics | |
| dc.subject.mesh | SARS-CoV-2 | |
| dc.subject.mesh | Vaccine Efficacy | |
| dc.title | Bioinformatic Tools for Studying the Cellular Immune Response to SARS-CoV-2, Vaccine Efficacy, and Future Pandemics at the Global Population Level | |
| dc.type | review article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e96d76f3-57bc-46bd-82f0-175b493cef6c | |
| relation.isAuthorOfPublication.latestForDiscovery | e96d76f3-57bc-46bd-82f0-175b493cef6c | |
| relation.isFunderOfPublication | 289dce42-6a28-4892-b0a8-c70c46cbb185 | |
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| relation.isPublisherOfPublication | 30293a55-0e53-431f-ae8c-14ab01127be9 | |
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