1
|
Voorter CEM, Groeneweg M, Olieslagers TI, Fae I, Fischer GF, Andreani M, Troiano M, Vidan-Jeras B, Montanic S, Hepkema BG, Bungener LB, Tilanus MGJ, Wieten L. Resolving unknown nucleotides in the IPD-IMGT/HLA database by extended and full-length sequencing of HLA class I and II alleles. Immunogenetics 2024; 76:109-121. [PMID: 38400869 PMCID: PMC10944811 DOI: 10.1007/s00251-024-01333-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/16/2024] [Indexed: 02/26/2024]
Abstract
In the past, identification of HLA alleles was limited to sequencing the region of the gene coding for the peptide binding groove, resulting in a lack of sequence information in the HLA database, challenging HLA allele assignment software programs. We investigated full-length sequences of 19 HLA class I and 7 HLA class II alleles, and we extended another 47 HLA class I alleles with sequences of 5' and 3' UTR regions that were all not yet available in the IPD-IMGT/HLA database. We resolved 8638 unknown nucleotides in the coding sequence of HLA class I and 2139 of HLA class II. Furthermore, with full-length sequencing of the 26 alleles, more than 90 kb of sequence information was added to the non-coding sequences, whereas extension of the 47 alleles resulted in the addition of 5.5 kb unknown nucleotides to the 5' UTR and > 31.7 kb to the 3' UTR region. With this information, some interesting features were observed, like possible recombination events and lineage evolutionary origins. The continuing increase in the availability of full-length sequences in the HLA database will enable the identification of the evolutionary origin and will help the community to improve the alignment and assignment accuracy of HLA alleles.
Collapse
Affiliation(s)
- Christina E M Voorter
- Department of Transplantation Immunology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
| | - Mathijs Groeneweg
- Department of Transplantation Immunology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Timo I Olieslagers
- Department of Transplantation Immunology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Ingrid Fae
- Department for Transfusion Medicine and Cell Therapy, Medical University Vienna, Vienna, Austria
| | - Gottfried F Fischer
- Department for Transfusion Medicine and Cell Therapy, Medical University Vienna, Vienna, Austria
| | - Marco Andreani
- Laboratorio di Immunogenetica dei Trapianti, Dipartimento di Oncoematologia, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Maria Troiano
- Laboratorio di Immunogenetica dei Trapianti, Dipartimento di Oncoematologia, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Blanka Vidan-Jeras
- Tissue Typing Center, Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia
| | - Sendi Montanic
- Tissue Typing Center, Blood Transfusion Centre of Slovenia, Ljubljana, Slovenia
| | - Bouke G Hepkema
- Transplantation Immunology, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Laura B Bungener
- Transplantation Immunology, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marcel G J Tilanus
- Department of Transplantation Immunology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Lotte Wieten
- Department of Transplantation Immunology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| |
Collapse
|
2
|
Sarri CA, Giannoulis T, Moutou KA, Mamuris Z. HLA class II peptide-binding-region analysis reveals funneling of polymorphism in action. Immunol Lett 2021; 238:75-95. [PMID: 34329645 DOI: 10.1016/j.imlet.2021.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 07/05/2021] [Accepted: 07/17/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND HLA-class II proteins hold important roles in key physiological processes. The purpose of this study was to compile all class II alleles reported in human population and investigate patterns in pocket variants and their combinations, focusing on the peptide-binding region (PBR). METHODS For this purpose, all protein sequences of DPA1, DQA1, DPB1, DQB1 and DRB1 were selected and filtered, in order to have full PBR sequences. Proportional representation was used for pocket variants while population data were also used. RESULTS All pocket variants and PBR sequences were retrieved and analyzed based on the preference of amino acids and their properties in all pocket positions. The observed number of pocket variants combinations was much lower than the possible inferred, suggesting that PBR formation is under strict funneling. Also, although class II proteins are very polymorphic, in the majority of the reported alleles in all populations, a significantly less polymorphic pocket core was found. CONCLUSIONS Pocket variability of five HLA class II proteins was studied revealing favorable properties of each protein. The actual PBR sequences of HLA class II proteins appear to be governed by restrictions that lead to the establishment of only a fraction of the possible combinations and the polymorphism recorded is the result of intense funneling based on function.
Collapse
Affiliation(s)
- Constantina A Sarri
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece
| | - Themistoklis Giannoulis
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece; Department of Animal Science, University of Thessaly, Trikallon 224, 43100 Karditsa, Greece
| | - Katerina A Moutou
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece
| | - Zissis Mamuris
- Department of Biochemistry and Biotechnology, Laboratory of Genetics, Comparative and Evolutionary Biology, University of Thessaly, Viopolis, Mezourlo, 41500, Larisa, Greece.
| |
Collapse
|
3
|
Fabreti-Oliveira RA, Santos MA, Oliveira CKF, Vale EMG, Vilela B, Nascimento E. Description of five novel HLA-B alleles,B*07:184, B*41:27, B*42:19, B*50:32 and B*57:63,identified in Brazilian individuals. Int J Immunogenet 2014; 41:264-6. [DOI: 10.1111/iji.12110] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Revised: 12/20/2013] [Accepted: 01/05/2014] [Indexed: 12/31/2022]
Affiliation(s)
- R. A. Fabreti-Oliveira
- Departamento de Bioquímica e Imunologia; Instituto de Ciências Biológicas; Universidade Federal de Minas Gerais; Belo Horizonte Brasil
- Departamento da Ciência da Computação; Instituto de Ciências Exatas; Universidade Federal de Minas Gerais; Belo Horizonte Brasil
- IMUNOLAB-Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte Brasil
| | - M. A. Santos
- Departamento da Ciência da Computação; Instituto de Ciências Exatas; Universidade Federal de Minas Gerais; Belo Horizonte Brasil
| | - C. K. F. Oliveira
- IMUNOLAB-Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte Brasil
| | - E. M. G. Vale
- IMUNOLAB-Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte Brasil
| | - B. Vilela
- IMUNOLAB-Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte Brasil
| | - E. Nascimento
- IMUNOLAB-Laboratório de Histocompatibilidade; Imunogenética e Imunologia de Transplantes; Belo Horizonte Brasil
- Instituto de Ensino; Pesquisas e Clínica de Transplantes do Hospital Santa Casa de Belo Horizonte; Belo Horizonte Brasil
| |
Collapse
|
4
|
Abstract
Population-specific matching probabilities (MP) are a key parameter to assess the benefits of unrelated stem cell donor registries and the need for further donor recruitment efforts. In this study, we describe a general framework for MP estimations of specific and mixed patient populations under consideration of international stem cell donor exchange. Calculations were based on population-specific 4-locus (HLA-A, -B, -C, -DRB1) high-resolution haplotype frequencies (HF) of up to 21 populations. In various scenarios, we calculated several quantities of high practical relevance, including the maximal MP that can be reached by recruiting a fixed number of donors, the corresponding optimal composition by population of new registrants, and the minimal number of donors who need to be recruited to reach a defined MP. Starting at current donor numbers, the largest MP increases due to n = 500,000 additional same-population donors were observed for patients from Bosnia-Herzegovina (+0.25), Greece (+0.21) and Romania (+0.20). Especially small MP increases occurred for European Americans (+0.004), Germans (+0.01) and Hispanic Americans (+0.01). Due to the large Chinese population, the optimal distribution of n = 5,000,000 new donors worldwide included 3.9 million Chinese donors. As a general result of our calculations, we observed a need for same-population donor recruitment in order to increase population-specific MP efficiently. This result was robust despite limitations of our input data, including the use of HF derived from relatively small samples ranging from n = 1028 (Bosnia-Herzegovina) to n = 33,083 (Turkey) individuals. National strategies that neglect domestic donor recruitment should therefore be critically re-assessed, especially if only few donors have been recruited so far.
Collapse
Affiliation(s)
| | - Jürgen Sauter
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
- * E-mail: (AS); (JS)
| | - Julia Pingel
- DKMS German Bone Marrow Donor Center, Tübingen, Germany
| | - Gerhard Ehninger
- Internal Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| |
Collapse
|