1
|
Silva NSB, Bourguiba-Hachemi S, Ciriaco VAO, Knorst SHY, Carmo RT, Masotti C, Meyer D, Naslavsky MS, Duarte YAO, Zatz M, Gourraud PA, Limou S, Castelli EC, Vince N. A multi-ethnic reference panel to impute HLA classical and non-classical class I alleles in admixed samples: Testing imputation accuracy in an admixed sample from Brazil. HLA 2024; 103:e15543. [PMID: 38837862 DOI: 10.1111/tan.15543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/03/2024] [Accepted: 05/13/2024] [Indexed: 06/07/2024]
Abstract
The MHC class I region contains crucial genes for the innate and adaptive immune response, playing a key role in susceptibility to many autoimmune and infectious diseases. Genome-wide association studies have identified numerous disease-associated SNPs within this region. However, these associations do not fully capture the immune-biological relevance of specific HLA alleles. HLA imputation techniques may leverage available SNP arrays by predicting allele genotypes based on the linkage disequilibrium between SNPs and specific HLA alleles. Successful imputation requires diverse and large reference panels, especially for admixed populations. This study employed a bioinformatics approach to call SNPs and HLA alleles in multi-ethnic samples from the 1000 genomes (1KG) dataset and admixed individuals from Brazil (SABE), utilising 30X whole-genome sequencing data. Using HIBAG, we created three reference panels: 1KG (n = 2504), SABE (n = 1171), and the full model (n = 3675) encompassing all samples. In extensive cross-validation of these reference panels, the multi-ethnic 1KG reference exhibited overall superior performance than the reference with only Brazilian samples. However, the best results were achieved with the full model. Additionally, we expanded the scope of imputation by developing reference panels for non-classical, MICA, MICB and HLA-H genes, previously unavailable for multi-ethnic populations. Validation in an independent Brazilian dataset showcased the superiority of our reference panels over the Michigan Imputation Server, particularly in predicting HLA-B alleles among Brazilians. Our investigations underscored the need to enhance or adapt reference panels to encompass the target population's genetic diversity, emphasising the significance of multiethnic references for accurate imputation across different populations.
Collapse
Affiliation(s)
- Nayane S B Silva
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
- Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Sonia Bourguiba-Hachemi
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Viviane A O Ciriaco
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Stefan H Y Knorst
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Ramon T Carmo
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Cibele Masotti
- Department of Molecular Oncology, Hospital Sírio-Libanes, São Paulo, Brazil
| | - Diogo Meyer
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Michel S Naslavsky
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Yeda A O Duarte
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Medical-Surgical Nursing Department, School of Nursing, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Mayana Zatz
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, State of São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, State of São Paulo, Brazil
| | - Pierre-Antoine Gourraud
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Sophie Limou
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| | - Erick C Castelli
- Molecular Genetics and Bioinformatics Laboratory, School of Medicine, São Paulo State University, Botucatu, State of São Paulo, Brazil
- Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, State of São Paulo, Brazil
| | - Nicolas Vince
- Center for Research in Transplantation and Translational Immunology, Nantes Université, INSERM, Ecole Centrale Nantes, Nantes, France
| |
Collapse
|
2
|
Synthetic Biodegradable Microparticle and Nanoparticle Vaccines against the Respiratory Syncytial Virus. Vaccines (Basel) 2016; 4:vaccines4040045. [PMID: 27918420 PMCID: PMC5192365 DOI: 10.3390/vaccines4040045] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 11/22/2016] [Accepted: 11/22/2016] [Indexed: 01/06/2023] Open
Abstract
Synthetic biodegradable microparticle and nanoparticle platform technology provides the opportunity to design particles varying in composition, size, shape and surface properties for application in vaccine development. The use of particle vaccine formulations allows improvement of antigen stability and immunogenicity while allowing targeted delivery and slow release. This technology has been design to develop novel vaccines against the respiratory syncytial virus (RSV), the leading cause of lower respiratory tract infection in infants. In the last decade, several nano- and micro-sized RSV vaccine candidates have been developed and tested in animal models showing promising results. This review provides an overview of recent advances in prophylactic particle vaccines for RSV and the multiple factors that can affect vaccine efficacy.
Collapse
|
3
|
Tan Q, Ma S, Hu J, Chen X, Yu Y, Zang G, Tang Z. Role of tripeptidyl peptidase II in MHC class I antigen presentation: Biological characteristics, cellular crosstalk and signaling. Biomed Pharmacother 2016; 84:1954-1958. [PMID: 27829551 DOI: 10.1016/j.biopha.2016.11.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 10/28/2016] [Accepted: 11/01/2016] [Indexed: 01/29/2023] Open
Abstract
Tripeptidyl peptidase II (TPPII) is a multifunctional cytoplasmic serine protease. The main function of TPPII is to cleave proteasome-generated peptides into tripeptides, which can then be further degraded into free amino acids. Recent evidence suggests that TPPII plays an important role in epitope generation, but the mechanisms of TPPII in MHC class I antigen presentation remain unclear. Recent research has shed new light on the mechanisms and functions of TPPII in MHC class I antigen presentation. We therefore provide an updated review of the biological characteristics of TPPII and explore its role in MHC class I antigen presentation.
Collapse
Affiliation(s)
- Quanhui Tan
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Siyuan Ma
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Jianjun Hu
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Xiaohua Chen
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Yongsheng Yu
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Guoqing Zang
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China
| | - Zhenghao Tang
- Department of Infectious Disease, Shanghai Jiao Tong University, Affiliated Sixth People's Hospital, Shanghai 200233, China.
| |
Collapse
|