Academic Journal
epiTOol: a browser-based HLA epitope (mis)matching application for small to large cohorts.
| Τίτλος: | epiTOol: a browser-based HLA epitope (mis)matching application for small to large cohorts. |
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| Συγγραφείς: | Lehmann C; Institute for Transfusion Medicine, HLA Laboratory, University Hospital Hamburg-Eppendorf, Hamburg, Germany.; Institute for Clinical Immunology, University of Leipzig, Leipzig, Germany., Lachmann N; Institute for Transfusion Medicine, H & I Laboratory, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Doxiadis I; Institute for Transfusion Medicine, HLA Laboratory, University Hospital Hamburg-Eppendorf, Hamburg, Germany.; Institute for Clinical Immunology, University of Leipzig, Leipzig, Germany., Loeffler-Wirth H; Interdisciplinary Centre for Bioinformatics (IZBI), Leipzig University, Leipzig, Germany.; Bioinformatics Group, Department of Computer Science, University of, Leipzig, Leipzig, Germany.; Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany. |
| Πηγή: | Frontiers in immunology [Front Immunol] 2026 Sep 07; Vol. 17, pp. 1916548. Date of Electronic Publication: 2026 Sep 07 (Print Publication: 2026). |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Lausanne : Frontiers Research Foundation] |
| Ιατρικοί όροι (MeSH): | HLA Antigens*/immunology , HLA Antigens*/genetics , Histocompatibility Testing*/methods , Epitopes*/immunology , Epitopes*/genetics , Epitope Mapping*/methods , Software* , Web Browser*, Humans |
| Περίληψη: | Method: epiTOol is a web-based application for transplantation immunogenetics and immunology, providing easy and reliable translation of high-resolution HLA typing into either predicted or confirmed epitopes. Unacceptable or acceptable HLA incompatibilities or mismatches are then easily definable, and the data is exported for further analyses. Unlike other similar tools, epiTOol allows for upload and analysis of large datasets of patient-donor combinations without the need for manual data entry. The results can be directly exported in table and text format for subsequent utilization in medical reports or data sheets. Conclusion: epiTOol is designed for utilization in research activities dedicated to transplantation immunology in respective centers dealing with solid organ transplantation but will also be applicable to stem cell transplantation since the role of HLA-specific antibodies also increases dramatically here. (Copyright © 2026 Lehmann, Lachmann, Doxiadis and Loeffler-Wirth.) |
| Competing Interests: | The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. |
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| Contributed Indexing: | Keywords: HLA-antibodies; epiTOol; eplets; interactive epitope matching; predicted and confirmed epitopes |
| Substance Nomenclature: | 0 (HLA Antigens) 0 (Epitopes) |
| Entry Date(s): | Date Created: 20260922 Date Completed: 20260922 Latest Revision: 20260923 |
| Update Code: | 20260923 |
| PubMed Central ID: | PMC13590771 |
| DOI: | 10.3389/fimmu.2026.1916548 |
| PMID: | 42769449 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1664-3224 |
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| DOI: | 10.3389/fimmu.2026.1916548 |