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Hu J, Pan M, Reid B, Tworoger S, Li B. Quantifiable blood TCR repertoire components associate with immune aging. Nat Commun 2024; 15:8171. [PMID: 39289351 PMCID: PMC11408526 DOI: 10.1038/s41467-024-52522-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 09/11/2024] [Indexed: 09/19/2024] Open
Abstract
T cell senescence alters the homeostasis of distinct T cell populations and results in decayed adaptive immune protection in older individuals, but a link between aging and dynamic T cell clone changes has not been made. Here, using a newly developed computational framework, Repertoire Functional Units (RFU), we investigate over 6500 publicly available TCR repertoire sequencing samples from multiple human cohorts and identify age-associated RFUs consistently across different cohorts. Quantification of RFU reduction with aging reveals accelerated loss under immunosuppressive conditions. Systematic analysis of age-associated RFUs in clinical samples manifests a potential link between these RFUs and improved clinical outcomes, such as lower ICU admission and reduced risk of complications, during acute viral infections. Finally, patients receiving bone marrow transplantation show a secondary expansion of the age-associated clones upon stem cell transfer from younger donors. Together, our results suggest the existence of a 'TCR clock' that could reflect the immune functions in aging populations.
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Affiliation(s)
- Jing Hu
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mingyao Pan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brett Reid
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Shelley Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health and Science University, Portland, OR, USA
| | - Bo Li
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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2
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Tolstykh EI, Vozilova AV, Akleyev AV, Zalyapin VI. Model of age-dependent dynamics and biokinetics of T-cells as natural biodosimeters. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2024; 63:405-421. [PMID: 38829435 DOI: 10.1007/s00411-024-01072-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 04/25/2024] [Indexed: 06/05/2024]
Abstract
Circulating T-lymphocytes are used as "natural biodosimeters" for estimating radiation doses, since the frequency of chromosomal aberrations induced in them is proportional to the accumulated dose. Moreover, stable chromosomal aberrations (translocations) are detected years and decades after exposure. Internal incorporation of radionuclides often leads to non-uniform exposure, which resulted in difficulties in the application of retrospective biodosimetry using T-lymphocytes. Some properties of T-lymphocytes complicate retrospective biodosimetry in this case: (1) the thymic production of T-cells depends significantly on age, the maximum is observed in early childhood; (2) the "lymphocyte-dosimeter" accumulates changes (translocations) while circulating through the body. The objective of this paper is to describe the technical characteristics of the model of age dynamics and T-cell biokinetics and approaches to assessing the dose to circulating lymphocytes under various exposure scenarios. The model allows to quantify the fractions of T-lymphocytes that were formed before and after exposure. The model takes into account the time fractions that circulating lymphocytes spend in various lymphoid organs. Age-related thymic involution was also considered. The model predicts that after internal exposure to 90Sr, the doses to T-lymphocytes can differ significantly from the doses to the bone marrow and other tissues. For uniform external γ-exposure, and for internal exposure due to non-bone -seeking radionuclides (for example, 144Ce), predicted doses to T-lymphocytes are very close to bone marrow doses. The model allows to quantify the correction factors for FISH-based doses to obtain doses to organs and tissues.
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Affiliation(s)
- Evgenia I Tolstykh
- Urals Research Center for Radiation Medicine, 68-A, Vorovsky Street, Chelyabinsk, 454076, Russia.
| | - Alexandra V Vozilova
- Urals Research Center for Radiation Medicine, 68-A, Vorovsky Street, Chelyabinsk, 454076, Russia
| | - Alexander V Akleyev
- Urals Research Center for Radiation Medicine, 68-A, Vorovsky Street, Chelyabinsk, 454076, Russia
- Department of Radiation Biology, Chelyabinsk State University, Chelyabinsk, Russia
| | - Vladimir I Zalyapin
- Mathematical Analysis Department, South Ural State University, Chelyabinsk, Russia
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3
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Zhang M, Cheng Q, Wei Z, Xu J, Wu S, Xu N, Zhao C, Yu L, Feng W. BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire. Brief Bioinform 2024; 25:bbae420. [PMID: 39177262 PMCID: PMC11342255 DOI: 10.1093/bib/bbae420] [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: 05/28/2024] [Revised: 07/24/2024] [Accepted: 08/08/2024] [Indexed: 08/24/2024] Open
Abstract
The T cell receptor (TCR) repertoire is pivotal to the human immune system, and understanding its nuances can significantly enhance our ability to forecast cancer-related immune responses. However, existing methods often overlook the intra- and inter-sequence interactions of T cell receptors (TCRs), limiting the development of sequence-based cancer-related immune status predictions. To address this challenge, we propose BertTCR, an innovative deep learning framework designed to predict cancer-related immune status using TCRs. BertTCR combines a pre-trained protein large language model with deep learning architectures, enabling it to extract deeper contextual information from TCRs. Compared to three state-of-the-art sequence-based methods, BertTCR improves the AUC on an external validation set for thyroid cancer detection by 21 percentage points. Additionally, this model was trained on over 2000 publicly available TCR libraries covering 17 types of cancer and healthy samples, and it has been validated on multiple public external datasets for its ability to distinguish cancer patients from healthy individuals. Furthermore, BertTCR can accurately classify various cancer types and healthy individuals. Overall, BertTCR is the advancing method for cancer-related immune status forecasting based on TCRs, offering promising potential for a wide range of immune status prediction tasks.
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Affiliation(s)
- Min Zhang
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Qi Cheng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Zhenyu Wei
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Jiayu Xu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Shiwei Wu
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
| | - Nan Xu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Chengkui Zhao
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Lei Yu
- Institute of Biomedical Engineering and Technology, Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, No. 500 Dongchuan Road, Shanghai, 200241, China
- Shanghai Unicar-Therapy Bio-medicine Technology Co., Ltd, No. 1525 Minqiang Road, Shanghai, 201612, China
| | - Weixing Feng
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin, 150001, China
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4
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Xu Y, Shan W, Luo Q, Zhang M, Huo D, Chen Y, Li H, Ye Y, Yu X, Luo Y, Huang H. Establishment of a humanized mouse model using steady-state peripheral blood-derived hematopoietic stem and progenitor cells facilitates screening of cancer-targeted T-cell repertoires. CANCER INNOVATION 2024; 3:e118. [PMID: 38947755 PMCID: PMC11212321 DOI: 10.1002/cai2.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/19/2023] [Accepted: 01/19/2024] [Indexed: 07/02/2024]
Abstract
Background Cancer-targeted T-cell receptor T (TCR-T) cells hold promise in treating cancers such as hematological malignancies and breast cancers. However, approaches to obtain cancer-reactive TCR-T cells have been unsuccessful. Methods Here, we developed a novel strategy to screen for cancer-targeted TCR-T cells using a special humanized mouse model with person-specific immune fingerprints. Rare steady-state circulating hematopoietic stem and progenitor cells were expanded via three-dimensional culture of steady-state peripheral blood mononuclear cells, and then the expanded cells were applied to establish humanized mice. The human immune system was evaluated according to the kinetics of dendritic cells, monocytes, T-cell subsets, and cytokines. To fully stimulate the immune response and to obtain B-cell precursor NAML-6- and triple-negative breast cancer MDA-MB-231-targeted TCR-T cells, we used the inactivated cells above to treat humanized mice twice a day every 7 days. Then, human T cells were processed for TCR β-chain (TRB) sequencing analysis. After the repertoires had been constructed, features such as the fraction, diversity, and immune signature were investigated. Results The results demonstrated an increase in diversity and clonality of T cells after treatment. The preferential usage and features of TRBV, TRBJ, and the V-J combination were also changed. The stress also induced highly clonal expansion. Tumor burden and survival analysis demonstrated that stress induction could significantly inhibit the growth of subsequently transfused live tumor cells and prolong the survival of the humanized mice. Conclusions We constructed a personalized humanized mouse model to screen cancer-targeted TCR-T pools. Our platform provides an effective source of cancer-targeted TCR-T cells and allows for the design of patient-specific engineered T cells. It therefore has the potential to greatly benefit cancer treatment.
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Affiliation(s)
- Yulin Xu
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Wei Shan
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Qian Luo
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Meng Zhang
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Dawei Huo
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Yijin Chen
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Honghu Li
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Yishan Ye
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Xiaohong Yu
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - Yi Luo
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
| | - He Huang
- Bone Marrow Transplantation Center, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- Liangzhu LaboratoryZhejiang UniversityHangzhouChina
- Institute of HematologyZhejiang UniversityHangzhouChina
- Zhejiang Province Engineering Research Center for Stem Cell and Immunity TherapyHangzhouChina
- School of MedicineZhejiang UniversityHangzhouChina
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5
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Glass DR, Mayer-Blackwell K, Ramchurren N, Parks KR, Duran GE, Wright AK, Bastidas Torres AN, Islas L, Kim YH, Fling SP, Khodadoust MS, Newell EW. Multi-omic profiling reveals the endogenous and neoplastic responses to immunotherapies in cutaneous T cell lymphoma. Cell Rep Med 2024; 5:101527. [PMID: 38670099 PMCID: PMC11148639 DOI: 10.1016/j.xcrm.2024.101527] [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: 09/14/2023] [Revised: 02/17/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024]
Abstract
Cutaneous T cell lymphomas (CTCLs) are skin cancers with poor survival rates and limited treatments. While immunotherapies have shown some efficacy, the immunological consequences of administering immune-activating agents to CTCL patients have not been systematically characterized. We apply a suite of high-dimensional technologies to investigate the local, cellular, and systemic responses in CTCL patients receiving either mono- or combination anti-PD-1 plus interferon-gamma (IFN-γ) therapy. Neoplastic T cells display no evidence of activation after immunotherapy. IFN-γ induces muted endogenous immunological responses, while anti-PD-1 elicits broader changes, including increased abundance of CLA+CD39+ T cells. We develop an unbiased multi-omic profiling approach enabling discovery of immune modules stratifying patients. We identify an enrichment of activated regulatory CLA+CD39+ T cells in non-responders and activated cytotoxic CLA+CD39+ T cells in leukemic patients. Our results provide insights into the effects of immunotherapy in CTCL patients and a generalizable framework for multi-omic analysis of clinical trials.
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Affiliation(s)
- David R Glass
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
| | - Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Nirasha Ramchurren
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - K Rachael Parks
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - George E Duran
- Division of Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anna K Wright
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | | | - Laura Islas
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Youn H Kim
- Division of Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steven P Fling
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Michael S Khodadoust
- Division of Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Evan W Newell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
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6
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Quiros-Roldan E, Sottini A, Natali PG, Imberti L. The Impact of Immune System Aging on Infectious Diseases. Microorganisms 2024; 12:775. [PMID: 38674719 PMCID: PMC11051847 DOI: 10.3390/microorganisms12040775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 03/22/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Immune system aging is becoming a field of increasing public health interest because of prolonged life expectancy, which is not paralleled by an increase in health expectancy. As age progresses, innate and adaptive immune systems undergo changes, which are defined, respectively, as inflammaging and immune senescence. A wealth of available data demonstrates that these two conditions are closely linked, leading to a greater vulnerability of elderly subjects to viral, bacterial, and opportunistic infections as well as lower post-vaccination protection. To face this novel scenario, an in-depth assessment of the immune players involved in this changing epidemiology is demanded regarding the individual and concerted involvement of immune cells and mediators within endogenous and exogenous factors and co-morbidities. This review provides an overall updated description of the changes affecting the aging immune system, which may be of help in understanding the underlying mechanisms associated with the main age-associated infectious diseases.
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Affiliation(s)
- Eugenia Quiros-Roldan
- Department of Infectious and Tropical Diseases, ASST- Spedali Civili and DSCS- University of Brescia, 25123 Brescia, Italy;
| | - Alessandra Sottini
- Clinical Chemistry Laboratory, Services Department, ASST Spedali Civili of Brescia, 25123 Brescia, Italy;
| | - Pier Giorgio Natali
- Mediterranean Task Force for Cancer Control (MTCC), Via Pizzo Bernina, 14, 00141 Rome, Italy;
| | - Luisa Imberti
- Section of Microbiology, University of Brescia, P. le Spedali Civili, 1, 25123 Brescia, Italy
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7
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Pavlova AV, Zvyagin IV, Shugay M. Detecting T-cell clonal expansions and quantifying clone survival using deep profiling of immune repertoires. Front Immunol 2024; 15:1321603. [PMID: 38633256 PMCID: PMC11021634 DOI: 10.3389/fimmu.2024.1321603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 03/12/2024] [Indexed: 04/19/2024] Open
Abstract
An individual's T-cell repertoire constantly changes under the influence of external and internal factors. Cells that do not receive a stimulatory signal die, while those that encounter and recognize a pathogen or receive a co-stimulatory signal divide, resulting in clonal expansions. T-cell clones can be traced by monitoring the presence of their unique T-cell receptor (TCR) sequence, which is assembled de novo through a process known as V(D)J rearrangement. Tracking T cells can provide valuable insights into the survival of cells after hematopoietic stem cell transplantation (HSCT) or cancer treatment response and can indicate the induction of protective immunity by vaccination. In this study, we report a bioinformatic method for quantifying the T-cell repertoire dynamics from TCR sequencing data. We demonstrate its utility by measuring the T-cell repertoire stability in healthy donors, by quantifying the effect of donor lymphocyte infusion (DLI), and by tracking the fate of the different T-cell subsets in HSCT patients and the expansion of pathogen-specific clones in vaccinated individuals.
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Affiliation(s)
- Anastasia V. Pavlova
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Ivan V. Zvyagin
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
- Dmitriy Rogachev National Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Mikhail Shugay
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
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8
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Ryu H, Bi TM, Pulliam TH, Sarkar K, Church CD, Kumar N, Mayer-Blackwell K, Jani S, Ramchurren N, Hansen UK, Hadrup SR, Fling SP, Koelle DM, Nghiem P, Newell EW. Merkel cell polyomavirus-specific and CD39 +CLA + CD8 T cells as blood-based predictive biomarkers for PD-1 blockade in Merkel cell carcinoma. Cell Rep Med 2024; 5:101390. [PMID: 38340724 PMCID: PMC10897544 DOI: 10.1016/j.xcrm.2023.101390] [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: 07/03/2023] [Revised: 11/29/2023] [Accepted: 12/21/2023] [Indexed: 02/12/2024]
Abstract
Merkel cell carcinoma is a skin cancer often driven by Merkel cell polyomavirus (MCPyV) with high rates of response to anti-PD-1 therapy despite low mutational burden. MCPyV-specific CD8 T cells are implicated in anti-PD-1-associated immune responses and provide a means to directly study tumor-specific T cell responses to treatment. Using mass cytometry and combinatorial tetramer staining, we find that baseline frequencies of blood MCPyV-specific cells correlated with response and survival. Frequencies of these cells decrease markedly during response to therapy. Phenotypes of MCPyV-specific CD8 T cells have distinct expression patterns of CD39, cutaneous lymphocyte-associated antigen (CLA), and CD103. Correspondingly, overall bulk CD39+CLA+ CD8 T cell frequencies in blood correlate with MCPyV-specific cell frequencies and similarly predicted favorable clinical outcomes. Conversely, frequencies of CD39+CD103+ CD8 T cells are associated with tumor burden and worse outcomes. These cell subsets can be useful as biomarkers and to isolate blood-derived tumor-specific T cells.
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Affiliation(s)
- Heeju Ryu
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Timothy M Bi
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Thomas H Pulliam
- Department of Medicine, Division of Dermatology, University of Washington, Seattle, WA, USA
| | - Korok Sarkar
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Candice D Church
- Department of Medicine, Division of Dermatology, University of Washington, Seattle, WA, USA
| | - Nandita Kumar
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA
| | | | - Saumya Jani
- Department of Medicine, Division of Dermatology, University of Washington, Seattle, WA, USA; Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Nirasha Ramchurren
- Cancer Immunotherapy Trails Network, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ulla K Hansen
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Sine R Hadrup
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Steven P Fling
- Cancer Immunotherapy Trails Network, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David M Koelle
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA; Department of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA; Benaroya Research Institute, Seattle, WA, USA
| | - Paul Nghiem
- Department of Medicine, Division of Dermatology, University of Washington, Seattle, WA, USA
| | - Evan W Newell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Lab Medicine and Pathology, University of Washington, Seattle, WA, USA.
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9
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Hunt KS, Alspach E. Battle Within the Sexes: Differences in Male and Female Immunity and the Impact on Antitumor Responses. Cancer Immunol Res 2024; 12:17-25. [PMID: 37939008 DOI: 10.1158/2326-6066.cir-23-0005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/14/2023] [Accepted: 09/12/2023] [Indexed: 11/10/2023]
Abstract
The immune system plays critical roles in regulating tumor progression. However, despite established differences in male and female immune cell function, our appreciation of sex as a variable in antitumor immune responses is only beginning to develop. Recent findings in mice have demonstrated for the first time that disparities in cancer incidence between the sexes are driven in part by differences in male and female T-cell responses. This review will discuss the growing body of literature demonstrating that male and female innate and adaptive immune responses against tumors are not equivalent and highlight the impact this may have on tumor responses to immunotherapies.
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Affiliation(s)
- Katey S Hunt
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Elise Alspach
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
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10
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Couturaud B, Doix B, Carretero-Iglesia L, Allard M, Pradervand S, Hebeisen M, Rufer N. Overall avidity declines in TCR repertoires during latent CMV but not EBV infection. Front Immunol 2023; 14:1293090. [PMID: 38053994 PMCID: PMC10694213 DOI: 10.3389/fimmu.2023.1293090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/06/2023] [Indexed: 12/07/2023] Open
Abstract
Introduction The avidity of the T-cell receptor (TCR) for antigenic peptides presented by the MHC (pMHC) on cells is an essential parameter for efficient T cell-mediated immunity. Yet, whether the TCR-ligand avidity can drive the clonal evolution of virus antigen-specific CD8 T cells, and how this process is determined in latent Cytomegalovirus (CMV)- against Epstein-Barr virus (EBV)-mediated infection remains largely unknown. Methods To address these issues, we quantified monomeric TCR-pMHC dissociation rates on CMV- and EBV-specific individual TCRαβ clonotypes and polyclonal CD8 T cell populations in healthy donors over a follow-up time of 15-18 years. The parameters involved during the long-term persistence of virus-specific T cell clonotypes were further evaluated by gene expression profiling, phenotype and functional analyses. Results Within CMV/pp65-specific T cell repertoires, a progressive contraction of clonotypes with high TCR-pMHC avidity and low CD8 binding dependency was observed, leading to an overall avidity decline during long-term antigen exposure. We identified a unique transcriptional signature preferentially expressed by high-avidity CMV/pp65-specific T cell clonotypes, including the inhibitory receptor LILRB1. Interestingly, T cell clonotypes of high-avidity showed higher LILRB1 expression than the low-avidity ones and LILRB1 blockade moderately increased T cell proliferation. Similar findings were made for CD8 T cell repertoires specific for the CMV/IE-1 epitope. There was a gradual in vivo loss of high-avidity T cells with time for both CMV specificities, corresponding to virus-specific CD8 T cells expressing enhanced LILRB1 levels. In sharp contrast, the EBV/BMFL1-specific T cell clonal composition and distribution, once established, displayed an exceptional stability, unrelated to TCR-pMHC binding avidity or LILRB1 expression. Conclusions These findings reveal an overall long-term avidity decline of CMV- but not EBV-specific T cell clonal repertoires, highlighting the differing role played by TCR-ligand avidity over the course of these two latent herpesvirus infections. Our data further suggest that the inhibitor receptor LILRB1 potentially restricts the clonal expansion of high-avidity CMV-specific T cell clonotypes during latent infection. We propose that the mechanisms regulating the long-term outcome of CMV- and EBV-specific memory CD8 T cell clonotypes in humans are distinct.
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Affiliation(s)
- Barbara Couturaud
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
| | - Bastien Doix
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
| | - Laura Carretero-Iglesia
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
| | - Mathilde Allard
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
| | - Sylvain Pradervand
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
- Lausanne Genomic Technologies Facility (LGTF), University of Lausanne, Lausanne, Switzerland
| | - Michael Hebeisen
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
| | - Nathalie Rufer
- Department of Oncology, Lausanne University Hospital and University of Lausanne, Epalinges, Switzerland
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11
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van de Sandt CE, Nguyen THO, Gherardin NA, Crawford JC, Samir J, Minervina AA, Pogorelyy MV, Rizzetto S, Szeto C, Kaur J, Ranson N, Sonda S, Harper A, Redmond SJ, McQuilten HA, Menon T, Sant S, Jia X, Pedrina K, Karapanagiotidis T, Cain N, Nicholson S, Chen Z, Lim R, Clemens EB, Eltahla A, La Gruta NL, Crowe J, Lappas M, Rossjohn J, Godfrey DI, Thomas PG, Gras S, Flanagan KL, Luciani F, Kedzierska K. Newborn and child-like molecular signatures in older adults stem from TCR shifts across human lifespan. Nat Immunol 2023; 24:1890-1907. [PMID: 37749325 PMCID: PMC10602853 DOI: 10.1038/s41590-023-01633-8] [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: 03/24/2023] [Accepted: 08/24/2023] [Indexed: 09/27/2023]
Abstract
CD8+ T cells provide robust antiviral immunity, but how epitope-specific T cells evolve across the human lifespan is unclear. Here we defined CD8+ T cell immunity directed at the prominent influenza epitope HLA-A*02:01-M158-66 (A2/M158) across four age groups at phenotypic, transcriptomic, clonal and functional levels. We identify a linear differentiation trajectory from newborns to children then adults, followed by divergence and a clonal reset in older adults. Gene profiles in older adults closely resemble those of newborns and children, despite being clonally distinct. Only child-derived and adult-derived A2/M158+CD8+ T cells had the potential to differentiate into highly cytotoxic epitope-specific CD8+ T cells, which was linked to highly functional public T cell receptor (TCR)αβ signatures. Suboptimal TCRαβ signatures in older adults led to less proliferation, polyfunctionality, avidity and recognition of peptide mutants, although displayed no signs of exhaustion. These data suggest that priming T cells at different stages of life might greatly affect CD8+ T cell responses toward viral infections.
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Affiliation(s)
- Carolien E van de Sandt
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
- Department of Hematopoiesis, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Nicholas A Gherardin
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | | | - Jerome Samir
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | | | - Mikhail V Pogorelyy
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Simone Rizzetto
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Christopher Szeto
- Viral and Structural Immunology Laboratory, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jasveen Kaur
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Nicole Ranson
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Sabrina Sonda
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Alice Harper
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
| | - Samuel J Redmond
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Hayley A McQuilten
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Tejas Menon
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Sneha Sant
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Xiaoxiao Jia
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Kate Pedrina
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Theo Karapanagiotidis
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Natalie Cain
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Suellen Nicholson
- Victorian Infectious Diseases Reference Laboratory, The Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Zhenjun Chen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Ratana Lim
- Obstetrics, Nutrition and Endocrinology Group, Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - E Bridie Clemens
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Auda Eltahla
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Nicole L La Gruta
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jane Crowe
- Deepdene Surgery, Deepdene, Victoria, Australia
| | - Martha Lappas
- Obstetrics, Nutrition and Endocrinology Group, Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Jamie Rossjohn
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
- Institute of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Dale I Godfrey
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Paul G Thomas
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Stephanie Gras
- Viral and Structural Immunology Laboratory, Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Katie L Flanagan
- School of Health Sciences and School of Medicine, University of Tasmania, Launceston, Tasmania, Australia
- School of Health and Biomedical Science, RMIT University, Melbourne, Victoria, Australia
- Tasmanian Vaccine Trial Centre, Clifford Craig Foundation, Launceston General Hospital, Launceston, Tasmania, Australia
| | - Fabio Luciani
- School of Medical Sciences and The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
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12
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Mika J, Yoshida K, Kusunoki Y, Candéias SM, Polanska J. Sex- and age-specific aspects of human peripheral T-cell dynamics. Front Immunol 2023; 14:1224304. [PMID: 37901211 PMCID: PMC10613070 DOI: 10.3389/fimmu.2023.1224304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/15/2023] [Indexed: 10/31/2023] Open
Abstract
Background The diversity of the antigenic T cell receptor (TCR) repertoire clonally expressed on T lymphocytes is a key element of the adaptive immune system protective functions. A decline in diversity in the older adults is associated with health deterioration. This diversity is generated by the rearrangement of TRB genes coding for TCR chains during lymphocyte differentiation in the thymus, but is essentially maintained by peripheral T lymphocytes proliferation for most of life. Deep sequencing of rearranged TRB genes from blood cells allows the monitoring of peripheral T cell repertoire dynamics. We analysed two aspects of rearranged TRB diversity, related to T lymphocyte proliferation and to the distribution of the T cell clone size, in a collection of repertoires obtained from 1 to 74 years-old donors. Results Our results show that peripheral T lymphocytes expansion differs according to the recombination status of their TRB loci. Their proliferation rate changes with age, with different patterns in men and women. T cell clone size becomes more heterogeneous with time, and, in adults, is always more even in women. Importantly, a longitudinal analysis of TRB repertoires obtained at ten years intervals from individual men and women confirms the findings of this cross-sectional study. Conclusions Peripheral T lymphocyte proliferation partially depends on their thymic developmental history. The rate of proliferation of T cells differing in their TRB rearrangement status is different in men and women before the age of 18 years old, but similar thereafter.
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Affiliation(s)
- Justyna Mika
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Kengo Yoshida
- Department of Molecular Biosciences, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Yoichiro Kusunoki
- Department of Molecular Biosciences, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Serge M. Candéias
- Université Grenoble Alpes, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Interdisciplinary Research Institute of Grenoble (IRIG), Laboratory of Chemistry and Biology of Metals (LCBM), Grenoble, France
| | - Joanna Polanska
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland
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13
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Bravi B, Di Gioacchino A, Fernandez-de-Cossio-Diaz J, Walczak AM, Mora T, Cocco S, Monasson R. A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity. eLife 2023; 12:e85126. [PMID: 37681658 PMCID: PMC10522340 DOI: 10.7554/elife.85126] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 09/07/2023] [Indexed: 09/09/2023] Open
Abstract
Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key properties underlying effective immune responses. Here we propose diffRBM, an approach based on transfer learning and Restricted Boltzmann Machines, to build sequence-based predictive models of these properties. DiffRBM is designed to learn the distinctive patterns in amino-acid composition that, on the one hand, underlie the antigen's probability of triggering a response, and on the other hand the T-cell receptor's ability to bind to a given antigen. We show that the patterns learnt by diffRBM allow us to predict putative contact sites of the antigen-receptor complex. We also discriminate immunogenic and non-immunogenic antigens, antigen-specific and generic receptors, reaching performances that compare favorably to existing sequence-based predictors of antigen immunogenicity and T-cell receptor specificity.
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Affiliation(s)
- Barbara Bravi
- Department of Mathematics, Imperial College LondonLondonUnited Kingdom
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Andrea Di Gioacchino
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Jorge Fernandez-de-Cossio-Diaz
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Aleksandra M Walczak
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Thierry Mora
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Simona Cocco
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
| | - Rémi Monasson
- Laboratoire de Physique de l’Ecole Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris-CitéParisFrance
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14
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Weng NP. Numbers and odds: TCR repertoire size and its age changes impacting on T cell functions. Semin Immunol 2023; 69:101810. [PMID: 37515916 PMCID: PMC10530048 DOI: 10.1016/j.smim.2023.101810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/31/2023]
Abstract
A vast array of αβ T cell receptors (TCRs) is generated during T cell development in the thymus through V(D)J recombination, which involves the rearrangement of multiple V, D, and J genes and the pairing of α and β chains. These diverse TCRs provide protection to the human body against a multitude of foreign pathogens and internal cancer cells. The entirety of TCRs present in an individual's T cells is referred to as the TCR repertoire. Despite an estimated 4 × 1011 T cells in the adult human body, the lower bound estimate for the TCR repertoire is 3.8 × 108. While the number of circulating T cells may slightly decrease with age, the changes in the diversity of the TCR repertoire is more apparent. Here, I review recent advancements in TCR repertoire studies, the methods used to measure it, how richness and diversity change as humans age, and some of the known consequences associated with these changes.
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MESH Headings
- Adult
- Humans
- T-Lymphocytes/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
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Affiliation(s)
- Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
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15
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Myronov A, Mazzocco G, Król P, Plewczynski D. BERTrand-peptide:TCR binding prediction using Bidirectional Encoder Representations from Transformers augmented with random TCR pairing. Bioinformatics 2023; 39:btad468. [PMID: 37535685 PMCID: PMC10444968 DOI: 10.1093/bioinformatics/btad468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 06/28/2023] [Accepted: 08/01/2023] [Indexed: 08/05/2023] Open
Abstract
MOTIVATION The advent of T-cell receptor (TCR) sequencing experiments allowed for a significant increase in the amount of peptide:TCR binding data available and a number of machine-learning models appeared in recent years. High-quality prediction models for a fixed epitope sequence are feasible, provided enough known binding TCR sequences are available. However, their performance drops significantly for previously unseen peptides. RESULTS We prepare the dataset of known peptide:TCR binders and augment it with negative decoys created using healthy donors' T-cell repertoires. We employ deep learning methods commonly applied in Natural Language Processing to train part a peptide:TCR binding model with a degree of cross-peptide generalization (0.69 AUROC). We demonstrate that BERTrand outperforms the published methods when evaluated on peptide sequences not used during model training. AVAILABILITY AND IMPLEMENTATION The datasets and the code for model training are available at https://github.com/SFGLab/bertrand.
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Affiliation(s)
- Alexander Myronov
- Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
- Ardigen, Krakow, Poland
| | | | | | - Dariusz Plewczynski
- Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
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16
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Laurent SA, Strauli NB, Eggers EL, Wu H, Michel B, Demuth S, Palanichamy A, Wilson MR, Sirota M, Hernandez RD, Cree BAC, Herman AE, von Büdingen HC. Effect of Ocrelizumab on B- and T-Cell Receptor Repertoire Diversity in Patients With Relapsing Multiple Sclerosis From the Randomized Phase III OPERA Trial. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2023; 10:e200118. [PMID: 37094998 PMCID: PMC10136682 DOI: 10.1212/nxi.0000000000200118] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 02/22/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND AND OBJECTIVES The B cell-depleting anti-CD20 antibody ocrelizumab (OCR) effectively reduces MS disease activity and slows disability progression. Given the role of B cells as antigen-presenting cells, the primary goal of this study was to evaluate the effect of OCR on the T-cell receptor repertoire diversity. METHODS To examine whether OCR substantially alters the molecular diversity of the T-cell receptor repertoire, deep immune repertoire sequencing (RepSeq) of CD4+ and CD8+ T-cell receptor β-chain variable regions was performed on longitudinal blood samples. The IgM and IgG heavy chain variable region repertoire was also analyzed to characterize the residual B-cell repertoire under OCR treatment. RESULTS Peripheral blood samples for RepSeq were obtained from 8 patients with relapsing MS enrolled in the OPERA I trial over a period of up to 39 months. Four patients each were treated with OCR or interferon β1-a during the double-blind period of OPERA I. All patients received OCR during the open-label extension. The diversity of the CD4+/CD8+ T-cell repertoires remained unaffected in OCR-treated patients. The expected OCR-associated B-cell depletion was mirrored by reduced B-cell receptor diversity in peripheral blood and a shift in immunoglobulin gene usage. Despite deep B-cell depletion, longitudinal persistence of clonally related B-cells was observed. DISCUSSION Our data illustrate that the diversity of CD4+/CD8+ T-cell receptor repertoires remained unaltered in OCR-treated patients with relapsing MS. Persistence of a highly diverse T-cell repertoire suggests that aspects of adaptive immunity remain intact despite extended anti-CD20 therapy. TRIAL REGISTRATION INFORMATION This is a substudy (BE29353) of the OPERA I (WA21092; NCT01247324) trial. Date of registration, November 23, 2010; first patient enrollment, August 31, 2011.
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Affiliation(s)
- Sarah A Laurent
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Nicolas B Strauli
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Erica L Eggers
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Hao Wu
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Brady Michel
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Stanislas Demuth
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Arumugam Palanichamy
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Michael R Wilson
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Marina Sirota
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Ryan D Hernandez
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Bruce Anthony Campbell Cree
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - Ann E Herman
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA
| | - H-Christian von Büdingen
- From the Department of Neurology (S.A.L., E.L.E., H.W., B.M., S.D., A.P., M.R.W., B.A.C.C., H.-C.B.), Weill Institute for Neurosciences; Biomedical Sciences Graduate Program (N.B.S.); Bakar Computational Health Sciences Institute and Department of Pediatrics (M.S.); Department of Bioengineering and Therapeutic Sciences (R.D.H.), University of California, San Francisco, CA; Department of Human Genetics (R.D.H.), McGill University, Montreal, QC, Canada; and OMNI Biomarker Development (A.E.H.), Genentech, Inc., South San Francisco, CA.
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17
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Giorgetti OB, O'Meara CP, Schorpp M, Boehm T. Origin and evolutionary malleability of T cell receptor α diversity. Nature 2023:10.1038/s41586-023-06218-x. [PMID: 37344590 PMCID: PMC10322711 DOI: 10.1038/s41586-023-06218-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/12/2023] [Indexed: 06/23/2023]
Abstract
Lymphocytes of vertebrate adaptive immune systems acquired the capability to assemble, from split genes in the germline, billions of functional antigen receptors1-3. These receptors show specificity; unlike the broadly tuned receptors of the innate system, antibodies (Ig) expressed by B cells, for instance, can accurately distinguish between the two enantiomers of organic acids4, whereas T cell receptors (TCRs) reliably recognize single amino acid replacements in their peptide antigens5. In developing lymphocytes, antigen receptor genes are assembled from a comparatively small set of germline-encoded genetic elements in a process referred to as V(D)J recombination6,7. Potential self-reactivity of some antigen receptors arising from the quasi-random somatic diversification is suppressed by several robust control mechanisms8-12. For decades, scientists have puzzled over the evolutionary origin of somatically diversifying antigen receptors13-16. It has remained unclear how, at the inception of this mechanism, immunologically beneficial expanded receptor diversity was traded against the emerging risk of destructive self-recognition. Here we explore the hypothesis that in early vertebrates, sequence microhomologies marking the ends of recombining elements became the crucial targets of selection determining the outcome of non-homologous end joining-based repair of DNA double-strand breaks generated during RAG-mediated recombination. We find that, across the main clades of jawed vertebrates, TCRα repertoire diversity is best explained by species-specific extents of such sequence microhomologies. Thus, selection of germline sequence composition of rearranging elements emerges as a major factor determining the degree of diversity of somatically generated antigen receptors.
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Affiliation(s)
- Orlando B Giorgetti
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
| | - Connor P O'Meara
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Michael Schorpp
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
| | - Thomas Boehm
- Department of Developmental Immunology, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.
- Faculty of Medicine, University of Freiburg, Freiburg, Germany.
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18
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Paschold L, Gottschick C, Langer S, Klee B, Diexer S, Aksentijevich I, Schultheiß C, Purschke O, Riese P, Trittel S, Haase R, Dressler F, Eberl W, Hübner J, Strowig T, Guzman CA, Mikolajczyk R, Binder M. T cell repertoire breadth is associated with the number of acute respiratory infections in the LoewenKIDS birth cohort. Sci Rep 2023; 13:9516. [PMID: 37308563 DOI: 10.1038/s41598-023-36144-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023] Open
Abstract
We set out to gain insight into peripheral blood B and T cell repertoires from 120 infants of the LoewenKIDS birth cohort to investigate potential determinants of early life respiratory infections. Low antigen-dependent somatic hypermutation of B cell repertoires, as well as low T and B cell repertoire clonality, high diversity, and high richness especially in public T cell clonotypes reflected the immunological naivety at 12 months of age when high thymic and bone marrow output are associated with relatively few prior antigen encounters. Infants with inadequately low T cell repertoire diversity or high clonality showed higher numbers of acute respiratory infections over the first 4 years of life. No correlation of T or B cell repertoire metrics with other parameters such as sex, birth mode, older siblings, pets, the onset of daycare, or duration of breast feeding was noted. Together, this study supports that-regardless of T cell functionality-the breadth of the T cell repertoire is associated with the number of acute respiratory infections in the first 4 years of life. Moreover, this study provides a valuable resource of millions of T and B cell receptor sequences from infants with available metadata for researchers in the field.
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Affiliation(s)
- Lisa Paschold
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany
| | - Cornelia Gottschick
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Susan Langer
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Bianca Klee
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Sophie Diexer
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Ivona Aksentijevich
- Inflammatory Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Schultheiß
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany
| | - Oliver Purschke
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Peggy Riese
- Department Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany
| | - Stephanie Trittel
- Department Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany
| | - Roland Haase
- Department of Neonatology and Pediatric Intensive Care, Hospital St. Elisabeth und St. Barbara, 06110, Halle (Saale), Germany
| | - Frank Dressler
- Department of Pediatric Pulmonology, Allergology and Neonatology, Hannover Medical School, 30625, Hannover, Germany
| | - Wolfgang Eberl
- Department of Paediatrics, Hospital Braunschweig, 38118, Braunschweig, Germany
| | - Johannes Hübner
- Department of Paediatrics, Dr. von Hauner Children's Hospital, Ludwig- Maximilians-University Munich, 80337, Munich, Germany
| | - Till Strowig
- Department Microbial Immune Regulation, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany
| | - Carlos A Guzman
- Department Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, 38124, Braunschweig, Germany
| | - Rafael Mikolajczyk
- Interdisciplinary Center for Health Sciences, Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Medical School of the Martin-Luther University Halle-Wittenberg, Magdeburger Strasse 8, 06112, Halle (Saale), Germany
| | - Mascha Binder
- Department of Internal Medicine IV, Oncology/Hematology, Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
- Division of Medical Oncology, University Hospital Basel, Petersgraben 4, 40314031, Basel, Switzerland.
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19
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Mark M, Reich-Zeliger S, Greenstein E, Biram A, Chain B, Friedman N, Madi A. Viral infection reveals hidden sharing of TCR CDR3 sequences between individuals. Front Immunol 2023; 14:1199064. [PMID: 37325645 PMCID: PMC10266217 DOI: 10.3389/fimmu.2023.1199064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
The T cell receptor is generated by a process of random and imprecise somatic recombination. The number of possible T cell receptors which this process can produce is enormous, greatly exceeding the number of T cells in an individual. Thus, the likelihood of identical TCRs being observed in multiple individuals (public TCRs) might be expected to be very low. Nevertheless such public TCRs have often been reported. In this study we explore the extent of TCR publicity in the context of acute resolving Lymphocytic choriomeningitis virus (LCMV) infection in mice. We show that the repertoire of effector T cells following LCMV infection contains a population of highly shared TCR sequences. This subset of TCRs has a distribution of naive precursor frequencies, generation probabilities, and physico-chemical CDR3 properties which lie between those of classic public TCRs, which are observed in uninfected repertoires, and the dominant private TCR repertoire. We have named this set of sequences "hidden public" TCRs, since they are only revealed following infection. A similar repertoire of hidden public TCRs can be observed in humans after a first exposure to SARS-COV-2. The presence of hidden public TCRs which rapidly expand following viral infection may therefore be a general feature of adaptive immunity, identifying an additional level of inter-individual sharing in the TCR repertoire which may form an important component of the effector and memory response.
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Affiliation(s)
- Michal Mark
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Erez Greenstein
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Biram
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Benny Chain
- Division of Infection and Immunity, Department of Computer Science, University College London, London, United Kingdom
| | - Nir Friedman
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Asaf Madi
- Department of Pathology, Tel-Aviv University, Tel-Aviv, Israel
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20
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Ruiz Ortega M, Spisak N, Mora T, Walczak AM. Modeling and predicting the overlap of B- and T-cell receptor repertoires in healthy and SARS-CoV-2 infected individuals. PLoS Genet 2023; 19:e1010652. [PMID: 36827454 PMCID: PMC10075420 DOI: 10.1371/journal.pgen.1010652] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 04/05/2023] [Accepted: 02/02/2023] [Indexed: 02/26/2023] Open
Abstract
Adaptive immunity's success relies on the extraordinary diversity of protein receptors on B and T cell membranes. Despite this diversity, the existence of public receptors shared by many individuals gives hope for developing population-wide vaccines and therapeutics. Using probabilistic modeling, we show many of these public receptors are shared by chance in healthy individuals. This predictable overlap is driven not only by biases in the random generation process of receptors, as previously reported, but also by their common functional selection. However, the model underestimates sharing between repertoires of individuals infected with SARS-CoV-2, suggesting strong specific antigen-driven convergent selection. We exploit this discrepancy to identify COVID-associated receptors, which we validate against datasets of receptors with known viral specificity. We study their properties in terms of sequence features and network organization, and use them to design an accurate diagnostic tool for predicting SARS-CoV-2 status from repertoire data.
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Affiliation(s)
- María Ruiz Ortega
- Laboratoire de physique de l’École Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France
| | - Natanael Spisak
- Laboratoire de physique de l’École Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France
| | - Thierry Mora
- Laboratoire de physique de l’École Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France
| | - Aleksandra M. Walczak
- Laboratoire de physique de l’École Normale Supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France
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21
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Dong C, Miao Y, Zhao R, Yang M, Guo A, Xue Z, Li T, Zhang Q, Bao Y, Shen C, Sun C, Yang Y, Gu X, Jin Y, Li R, Xu M, Guo J, Zong Z, Zhou W, He M, Wang D, Su J, Zhang X, Zeng X, Gao J, Gu Z. Single-Cell Transcriptomics Reveals Longevity Immune Remodeling Features Shared by Centenarians and Their Offspring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2204849. [PMID: 36354175 PMCID: PMC9799020 DOI: 10.1002/advs.202204849] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/10/2022] [Indexed: 05/02/2023]
Abstract
Centenarians, who show mild infections and low incidence of tumors, are the optimal model to investigate healthy aging. However, longevity related immune characteristics has not been fully revealed largely due to lack of appropriate controls. In this study, single-cell transcriptomic analysis of peripheral blood mononuclear cells (PBMCs) derived from seven centenarians (CEN), six centenarians' offspring (CO), and nine offspring spouses or neighbors (Control, age-matched to CO) are performed to investigate the shared immune features between CEN and CO. The results indicate that among all 12 T cell clusters, the cytotoxic-phenotype-clusters (CPC) and the naïve-phenotype-clusters (NPC) significantly change between CEN and ontrol. Compared to Control, both CEN and CO are characterized by depleted NPC and increased CPC, which is dominated by CD8+ T cells. Furthermore, CPC from CEN and CO share enhanced signaling pathways and transcriptional factors associated with immune response, and possesse similar T-cell-receptor features, such as high clonal expansion. Interestingly, rather than a significant increase in GZMK+ CD8 cells during aging, centenarians show accumulation of GZMB+ and CMC1+ CD8 T cells. Collectively, this study unveils an immune remodeling pattern reflected by both quantitative increase and functional reinforcement of cytotoxic T cells which are essential for healthy aging.
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Affiliation(s)
- Chen Dong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ya‐ru Miao
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Rui Zhao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei Yang
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - An‐yuan Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Center for Artificial Intelligence BiologyHubei Bioinformatics & Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan430074China
| | - Zhong‐hui Xue
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Teng Li
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Qiong Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yanfeng Bao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chen Shen
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Chi Sun
- Department of GeriatricsAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Ying Yang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xi‐xi Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Yi Jin
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Rong Li
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Min Xu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jia‐xin Guo
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐ying Zong
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Wei Zhou
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Mei He
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Dan‐ni Wang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Jian‐you Su
- Laboratory CenterAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Xiao‐ming Zhang
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
- Key Laboratory of Molecular Virology & ImmunologyInstitut Pasteur of ShanghaiChinese Academy of SciencesShanghai200025China
| | - Xu‐hui Zeng
- Institute of Reproductive MedicineMedical SchoolNantong UniversityNantong226001China
| | - Jian‐lin Gao
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
| | - Zhi‐feng Gu
- Research Center of Clinical MedicineResearch Center of Gerontology and LongevityKey Laboratory of ImmunologyResearch Center of NursingDepartment of RheumatologyAffiliated Hospital of Nantong UniversityNantong UniversityNantong226001China
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22
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Mitchell AM, Baschal EE, McDaniel KA, Simmons KM, Pyle L, Waugh K, Steck AK, Yu L, Gottlieb PA, Rewers MJ, Nakayama M, Michels AW. Temporal development of T cell receptor repertoires during childhood in health and disease. JCI Insight 2022; 7:161885. [PMID: 35998036 PMCID: PMC9675557 DOI: 10.1172/jci.insight.161885] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/17/2022] [Indexed: 12/05/2022] Open
Abstract
T cell receptor (TCR) sequences are exceptionally diverse and can now be comprehensively measured with next-generation sequencing technologies. However, a thorough investigation of longitudinal TCR repertoires throughout childhood in health and during development of a common childhood disease, type 1 diabetes (T1D), has not been undertaken. Here, we deep sequenced the TCR-β chain repertoires from longitudinal peripheral blood DNA samples at 4 time points beginning early in life (median age of 1.4 years) from children who progressed to T1D (n = 29) and age/sex-matched islet autoantibody-negative controls (n = 25). From 53 million TCR-β sequences, we show that the repertoire is extraordinarily diverse early in life and narrows with age independently of disease. We demonstrate the ability to identify specific TCR sequences, including those known to recognize influenza A and, separately, those specific for insulin and its precursor, preproinsulin. Insulin-reactive TCR-β sequences were more common and frequent in number as the disease progressed in those who developed T1D compared with genetically at risk nondiabetic children, and this was not the case for influenza-reactive sequences. As an independent validation, we sequenced and analyzed TCR-β repertoires from a cohort of new-onset T1D patients (n = 143), identifying the same preproinsulin-reactive TCRs. These results demonstrate an enrichment of preproinsulin-reactive TCR sequences during the progression to T1D, highlighting the importance of using disease-relevant TCR sequences as powerful biomarkers in autoimmune disorders.
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Affiliation(s)
- Angela M Mitchell
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Erin E Baschal
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Kristen A McDaniel
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Kimber M Simmons
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Laura Pyle
- Department of Biostatistics and Informatics, University of Colorado School of Pubic Health, Aurora, United States of America
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Marian J Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Maki Nakayama
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
| | - Aaron W Michels
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, United States of America
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23
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Zaitsev A, Chelushkin M, Dyikanov D, Cheremushkin I, Shpak B, Nomie K, Zyrin V, Nuzhdina E, Lozinsky Y, Zotova A, Degryse S, Kotlov N, Baisangurov A, Shatsky V, Afenteva D, Kuznetsov A, Paul SR, Davies DL, Reeves PM, Lanuti M, Goldberg MF, Tazearslan C, Chasse M, Wang I, Abdou M, Aslanian SM, Andrewes S, Hsieh JJ, Ramachandran A, Lyu Y, Galkin I, Svekolkin V, Cerchietti L, Poznansky MC, Ataullakhanov R, Fowler N, Bagaev A. Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes. Cancer Cell 2022; 40:879-894.e16. [PMID: 35944503 DOI: 10.1016/j.ccell.2022.07.006] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/10/2022] [Accepted: 07/12/2022] [Indexed: 12/21/2022]
Abstract
Cellular deconvolution algorithms virtually reconstruct tissue composition by analyzing the gene expression of complex tissues. We present the decision tree machine learning algorithm, Kassandra, trained on a broad collection of >9,400 tissue and blood sorted cell RNA profiles incorporated into millions of artificial transcriptomes to accurately reconstruct the tumor microenvironment (TME). Bioinformatics correction for technical and biological variability, aberrant cancer cell expression inclusion, and accurate quantification and normalization of transcript expression increased Kassandra stability and robustness. Performance was validated on 4,000 H&E slides and 1,000 tissues by comparison with cytometric, immunohistochemical, or single-cell RNA-seq measurements. Kassandra accurately deconvolved TME elements, showing the role of these populations in tumor pathogenesis and other biological processes. Digital TME reconstruction revealed that the presence of PD-1-positive CD8+ T cells strongly correlated with immunotherapy response and increased the predictive potential of established biomarkers, indicating that Kassandra could potentially be utilized in future clinical applications.
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Affiliation(s)
| | | | | | | | - Boris Shpak
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | - Krystle Nomie
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | - Vladimir Zyrin
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | | | | | | | | | - Nikita Kotlov
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | | | | | - Daria Afenteva
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | | | - Susan Raju Paul
- The Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, USA
| | - Diane L Davies
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Patrick M Reeves
- The Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Lanuti
- Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Madison Chasse
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | - Iris Wang
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | - Mary Abdou
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | | | | | - James J Hsieh
- Molecular Oncology, Division of Oncology, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Akshaya Ramachandran
- Molecular Oncology, Division of Oncology, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Yang Lyu
- Molecular Oncology, Division of Oncology, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Ilia Galkin
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA
| | | | - Leandro Cerchietti
- Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Mark C Poznansky
- The Vaccine and Immunotherapy Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Nathan Fowler
- BostonGene, Corp., 95 Sawyer Road, Waltham, MA 02453, USA; Department of Lymphoma and Myeloma, MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 429, Houston, TX 77030, USA.
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24
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Wang Y, Dong C, Han Y, Gu Z, Sun C. Immunosenescence, aging and successful aging. Front Immunol 2022; 13:942796. [PMID: 35983061 PMCID: PMC9379926 DOI: 10.3389/fimmu.2022.942796] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/08/2022] [Indexed: 12/24/2022] Open
Abstract
Aging induces a series of immune related changes, which is called immunosenescence, playing important roles in many age-related diseases, especially neurodegenerative diseases, tumors, cardiovascular diseases, autoimmune diseases and coronavirus disease 2019(COVID-19). However, the mechanism of immunosenescence, the association with aging and successful aging, and the effects on diseases are not revealed obviously. In order to provide theoretical basis for preventing or controlling diseases effectively and achieve successful aging, we conducted the review and found that changes of aging-related phenotypes, deterioration of immune organ function and alterations of immune cell subsets participated in the process of immunosenescence, which had great effects on the occurrence and development of age-related diseases.
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Affiliation(s)
- Yunan Wang
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Chen Dong
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yudian Han
- Information Center, The First People’s Hospital of Nantong City, Nantong, China
| | - Zhifeng Gu
- Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Zhifeng Gu, ; Chi Sun,
| | - Chi Sun
- Department of Geriatrics, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Zhifeng Gu, ; Chi Sun,
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25
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Trofimov A, Brouillard P, Larouche JD, Séguin J, Laverdure JP, Brasey A, Ehx G, Roy DC, Busque L, Lachance S, Lemieux S, Perreault C. Two types of human TCR differentially regulate reactivity to self and non-self antigens. iScience 2022; 25:104968. [PMID: 36111255 PMCID: PMC9468382 DOI: 10.1016/j.isci.2022.104968] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/24/2022] [Accepted: 08/12/2022] [Indexed: 11/30/2022] Open
Abstract
Based on analyses of TCR sequences from over 1,000 individuals, we report that the TCR repertoire is composed of two ontogenically and functionally distinct types of TCRs. Their production is regulated by variations in thymic output and terminal deoxynucleotidyl transferase (TDT) activity. Neonatal TCRs derived from TDT-negative progenitors persist throughout life, are highly shared among subjects, and are reported as disease-associated. Thus, 10%–30% of most frequent cord blood TCRs are associated with common pathogens and autoantigens. TDT-dependent TCRs present distinct structural features and are less shared among subjects. TDT-dependent TCRs are produced in maximal numbers during infancy when thymic output and TDT activity reach a summit, are more abundant in subjects with AIRE mutations, and seem to play a dominant role in graft-versus-host disease. Factors decreasing thymic output (age, male sex) negatively impact TCR diversity. Males compensate for their lower repertoire diversity via hyperexpansion of selected TCR clonotypes. Over 108 TCR CDR3 sequences from ∼103 individuals and 7 cohorts were analyzed The TCR repertoire is composed of two layers: neonatal and TDT-dependent layer ∼70% of frequent cord blood TCRs are associated with common pathogens Acute graft-vs-host disease correlates with a high proportion of TDT-dependent TCRs
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Affiliation(s)
- Assya Trofimov
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Quebec Institute for Learning Algorithms (Mila), Montreal, Quebec H2S 3H1, Canada
- Currently Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Currently Department of Physics, University of Washington, Seattle, WA 98195-1560, USA
| | - Philippe Brouillard
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Quebec Institute for Learning Algorithms (Mila), Montreal, Quebec H2S 3H1, Canada
| | - Jean-David Larouche
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Jonathan Séguin
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Jean-Philippe Laverdure
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
| | - Ann Brasey
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Gregory Ehx
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Currently Interdisciplinary Cluster for Applied Geno-Proteomics (GIGA-I3), University of Liege, Liege 4000, Belgium
| | | | - Lambert Busque
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Silvy Lachance
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Computer Science and Research Operations, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Biochemistry at University of Montreal, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Corresponding author
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada
- Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
- Corresponding author
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26
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Sun X, Nguyen T, Achour A, Ko A, Cifello J, Ling C, Sharma J, Hiroi T, Zhang Y, Chia CW, Wood Iii W, Wu WW, Zukley L, Phue JN, Becker KG, Shen RF, Ferrucci L, Weng NP. Longitudinal analysis reveals age-related changes in the T cell receptor repertoire of human T cell subsets. J Clin Invest 2022; 132:158122. [PMID: 35708913 PMCID: PMC9433102 DOI: 10.1172/jci158122] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/14/2022] [Indexed: 11/17/2022] Open
Abstract
A diverse T cell receptor (TCR) repertoire is essential for protection against a variety of pathogens, and TCR repertoire size is believed to decline with age. However, the precise size of human TCR repertoires, in both total and subsets of T cells, as well as their changes with age, are not fully characterized. We conducted a longitudinal analysis of the human blood TCRα and TCRβ repertoire of CD4+ and CD8+ T cell subsets using a unique molecular identifier–based (UMI-based) RNA-seq method. Thorough analysis of 1.9 × 108 T cells yielded the lower estimate of TCR repertoire richness in an adult at 3.8 × 108. Alterations of the TCR repertoire with age were observed in all 4 subsets of T cells. The greatest reduction was observed in naive CD8+ T cells, while the greatest clonal expansion was in memory CD8+ T cells, and the highest increased retention of TCR sequences was in memory CD8+ T cells. Our results demonstrated that age-related TCR repertoire attrition is subset specific and more profound for CD8+ than CD4+ T cells, suggesting that aging has a more profound effect on cytotoxic as opposed to helper T cell functions. This may explain the increased susceptibility of older adults to novel infections.
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Affiliation(s)
- Xiaoping Sun
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Thomas Nguyen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Achouak Achour
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Annette Ko
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Jeffrey Cifello
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Chen Ling
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Jay Sharma
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Toyoko Hiroi
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
| | - Yongqing Zhang
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Chee W Chia
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, United States of America
| | - William Wood Iii
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Wells W Wu
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Linda Zukley
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, United States of America
| | - Je-Nie Phue
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Kevin G Becker
- Gene expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, United States of America
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, Food and Drug Administration, Silver Spring, United States of America
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, United States of America
| | - Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, United States of America
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27
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Dessalles R, Pan Y, Xia M, Maestrini D, D'Orsogna MR, Chou T. How Naive T-Cell Clone Counts Are Shaped By Heterogeneous Thymic Output and Homeostatic Proliferation. Front Immunol 2022; 12:735135. [PMID: 35250963 PMCID: PMC8891377 DOI: 10.3389/fimmu.2021.735135] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
The specificity of T cells is that each T cell has only one T cell receptor (TCR). A T cell clone represents a collection of T cells with the same TCR sequence. Thus, the number of different T cell clones in an organism reflects the number of different T cell receptors (TCRs) that arise from recombination of the V(D)J gene segments during T cell development in the thymus. TCR diversity and more specifically, the clone abundance distribution, are important factors in immune functions. Specific recombination patterns occur more frequently than others while subsequent interactions between TCRs and self-antigens are known to trigger proliferation and sustain naive T cell survival. These processes are TCR-dependent, leading to clone-dependent thymic export and naive T cell proliferation rates. We describe the heterogeneous steady-state population of naive T cells (those that have not yet been antigenically triggered) by using a mean-field model of a regulated birth-death-immigration process. After accounting for random sampling, we investigate how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions (the number of different clones that are represented by a specific number of cells, or “clone counts”). By using reasonable physiological parameter values and fitting predicted clone counts to experimentally sampled clone abundances, we show that realistic levels of heterogeneity in immigration rates cause very little change to predicted clone-counts, but that modest heterogeneity in proliferation rates can generate the observed clone abundances. Our analysis provides constraints among physiological parameters that are necessary to yield predictions that qualitatively match the data. Assumptions of the model and potentially other important mechanistic factors are discussed.
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Affiliation(s)
- Renaud Dessalles
- Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States
| | - Yunbei Pan
- Department of Mathematics, California State University at Northridge, Los Angeles, CA, United States
| | - Mingtao Xia
- Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, United States
| | - Davide Maestrini
- Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States
| | - Maria R D'Orsogna
- Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.,Department of Mathematics, California State University at Northridge, Los Angeles, CA, United States
| | - Tom Chou
- Department of Computational Medicine, University of California at Los Angeles (UCLA), Los Angeles, CA, United States.,Department of Mathematics, University of California at Los Angeles (UCLA), Los Angeles, CA, United States
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28
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Towlerton AMH, Ravishankar S, Coffey DG, Puronen CE, Warren EH. Serial Analysis of the T-Cell Receptor β-Chain Repertoire in People Living With HIV Reveals Incomplete Recovery After Long-Term Antiretroviral Therapy. Front Immunol 2022; 13:879190. [PMID: 35585986 PMCID: PMC9108698 DOI: 10.3389/fimmu.2022.879190] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Long-term antiretroviral therapy (ART) in people living with HIV (PLHIV) is associated with sustained increases in CD4+ T-cell count, but its effect on the peripheral blood T-cell repertoire has not been comprehensively evaluated. In this study, we performed serial profiling of the composition and diversity of the T-cell receptor β-chain (TRB) repertoire in 30 adults with HIV infection before and after the initiation of ART to define its long-term impact on the TRB repertoire. Serially acquired blood samples from 30 adults with HIV infection collected over a mean of 6 years (range, 1-12) years, with 1-4 samples collected before and 2-8 samples collected after the initiation of ART, were available for analysis. TRB repertoires were characterized via high-throughput sequencing of the TRB variable region performed on genomic DNA extracted from unsorted peripheral blood mononuclear cells. Additional laboratory and clinical metadata including serial measurements of HIV viral load and CD4 + T-cell count were available for all individuals in the cohort. A previously published control group of 189 TRB repertoires from peripheral blood samples of adult bone marrow transplant donors was evaluated for comparison. ART initiation in PLHIV was associated with a sustained reduction in viral load and a significant increase in TRB repertoire diversity. However, repertoire diversity in PLHIV remained significantly lower than in the control group even after long-term ART. The composition of TRB repertoires of PLHIV after ART also remained perturbed compared to the control cohort, as evidenced by large persistent private clonal expansions, reduced efficiency in the generation of TRB CDR3 amino acid sequences, and a narrower range of CDR3 lengths. Network analysis revealed an antigen-experienced structure in the TRB repertoire of PLHIV both before and after ART initiation that was quite distinct from the structure of control repertoires, with a slight shift toward a more naïve structure observed after ART initiation. Though we observe significant improvement in TRB repertoire diversity with durable viral suppression in PLHIV on long-term ART, the composition and structure of these repertoires remain significantly perturbed compared to the control cohort of adult bone marrow transplant donors.
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Affiliation(s)
- Andrea M. H. Towlerton
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Shashidhar Ravishankar
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - David G. Coffey
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
- Division of Hematology, University of Miami, Miami, FL, United States
| | - Camille E. Puronen
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
| | - Edus H. Warren
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
- Division of Medical Oncology, University of Washington, Seattle, WA, United States
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29
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Luo OJ, Lei W, Zhu G, Ren Z, Xu Y, Xiao C, Zhang H, Cai J, Luo Z, Gao L, Su J, Tang L, Guo W, Su H, Zhang ZJ, Fang EF, Ruan Y, Leng SX, Ju Z, Lou H, Gao J, Peng N, Chen J, Bao Z, Liu F, Chen G. Multidimensional single-cell analysis of human peripheral blood reveals characteristic features of the immune system landscape in aging and frailty. NATURE AGING 2022; 2:348-364. [PMID: 37117750 DOI: 10.1038/s43587-022-00198-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 02/25/2022] [Indexed: 12/15/2022]
Abstract
Frailty is an intermediate status of the human aging process, associated with decompensated homeostasis and death. The immune phenotype of frailty and its underlying cellular and molecular processes remain poorly understood. We profiled 114,467 immune cells from cord blood, young adults and healthy and frail old adults using single-cell RNA and TCR sequencing. Here we show an age-dependent accumulation of transcriptome heterogeneity and variability in immune cells. Characteristic transcription factors were identified in given cell types of specific age groups. Trajectory analysis revealed cells from non-frail and frail old adults often fall into distinct paths. Numerous TCR clonotypes were shared among T-cell subtypes in old adults, indicating differential pluripotency and resilience capabilities of aged T cells. A frailty-specific monocyte subset was identified with exclusively high expression of long noncoding RNAs NEAT1 and MALAT1. Our study discovers human frailty-specific immune cell characteristics based on the comprehensive dimensions in the immune landscape of aging and frailty.
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30
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Massey J, Jackson K, Singh M, Hughes B, Withers B, Ford C, Khoo M, Hendrawan K, Zaunders J, Charmeteau-De Muylder B, Cheynier R, Luciani F, Ma D, Moore J, Sutton I. Haematopoietic Stem Cell Transplantation Results in Extensive Remodelling of the Clonal T Cell Repertoire in Multiple Sclerosis. Front Immunol 2022; 13:798300. [PMID: 35197974 PMCID: PMC8859174 DOI: 10.3389/fimmu.2022.798300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/13/2022] [Indexed: 12/29/2022] Open
Abstract
Autologous haematopoietic stem cell transplantation (AHSCT) is a vital therapeutic option for patients with highly active multiple sclerosis (MS). Rates of remission suggest AHSCT is the most effective form of immunotherapy in controlling the disease. Despite an evolving understanding of the biology of immune reconstitution following AHSCT, the mechanism by which AHSCT enables sustained disease remission beyond the period of lymphopenia remains to be elucidated. Auto-reactive T cells are considered central to MS pathogenesis. Here, we analyse T cell reconstitution for 36 months following AHSCT in a cohort of highly active MS patients. Through longitudinal analysis of sorted naïve and memory T cell clones, we establish that AHSCT induces profound changes in the dominant T cell landscape of both CD4+ and CD8+ memory T cell clones. Lymphopenia induced homeostatic proliferation is followed by clonal attrition; with only 19% of dominant CD4 (p <0.025) and 13% of dominant CD8 (p <0.005) clones from the pre-transplant repertoire detected at 36 months. Recovery of a thymically-derived CD4 naïve T cell repertoire occurs at 12 months and is ongoing at 36 months, however diversity of the naïve populations is not increased from baseline suggesting the principal mechanism of durable remission from MS after AHSCT relates to depletion of putative auto-reactive clones. In a cohort of MS patients expressing the MS risk allele HLA DRB1*15:01, public clones are probed as potential biomarkers of disease. AHSCT appears to induce sustained periods of disease remission with dynamic changes in the clonal T cell repertoire out to 36 months post-transplant.
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Affiliation(s)
- Jennifer Massey
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Department of Neurology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- *Correspondence: Jennifer Massey,
| | - Katherine Jackson
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Mandeep Singh
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- Immunogenomics Lab, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Brendan Hughes
- School of Medical Sciences and Kirby Institute for Infection and Immunity, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - Barbara Withers
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - Carole Ford
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - Melissa Khoo
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - Kevin Hendrawan
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | - John Zaunders
- Immunology Laboratory, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
| | | | - Rémi Cheynier
- Université de Paris, INSERM, CNRS, Institut Cochin, Paris, France
| | - Fabio Luciani
- School of Medical Sciences and Kirby Institute for Infection and Immunity, University of New South Wales (UNSW), Kensington, NSW, Australia
| | - David Ma
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - John Moore
- Department of Haematology, St Vincent’s Hospital, Darlinghurst, NSW, Australia
- Blood Stem Cell and Cancer Research Group, St Vincent’s Centre for Applied Medical Research, Darlinghurst, NSW, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
| | - Ian Sutton
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales (UNSW), Darlinghurst, NSW, Australia
- Department of Neurology, St Vincent’s Clinic, Darlinghurst, NSW, Australia
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31
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Fang M, Su Z, Abolhassani H, Zhang W, Jiang C, Cheng B, Luo L, Wu J, Wang S, Lin L, Wang X, Wang L, Aghamohammadi A, Li T, Zhang X, Hammarström L, Liu X. T Cell Repertoire Abnormality in Immunodeficiency Patients with DNA Repair and Methylation Defects. J Clin Immunol 2022; 42:375-393. [PMID: 34825286 PMCID: PMC8821531 DOI: 10.1007/s10875-021-01178-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/01/2021] [Indexed: 12/25/2022]
Abstract
Both DNA damage response and methylation play a crucial role in antigen receptor recombination by creating a diverse repertoire in developing lymphocytes, but how their defects relate to T cell repertoire and phenotypic heterogeneity of immunodeficiency remains obscure. We studied the TCR repertoire in patients with the mutation in different genes (ATM, DNMT3B, ZBTB24, RAG1, DCLRE1C, and JAK3) and uncovered distinct characteristics of repertoire diversity. We propose that early aberrancies in thymus T cell development predispose to the heterogeneous phenotypes of the immunodeficiency spectrum. Shorter CDR3 lengths in ATM-deficient patients, resulting from a decreased number of nucleotide insertions during VDJ recombination in the pre-selected TCR repertoire, as well as the increment of CDR3 tyrosine residues, lead to the enrichment of pathology-associated TCRs, which may contribute to the phenotypes of ATM deficiency. Furthermore, patients with DNMT3B and ZBTB24 mutations who exhibit discrepant phenotypes present longer CDR3 lengths and reduced number of known pathology-associated TCRs.
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Affiliation(s)
- Mingyan Fang
- BGI-Shenzhen, Shenzhen, 518083, China
- Division of Clinical Immunology at the Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, 141 86, Stockholm, Sweden
| | - Zheng Su
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Sydney, NSW, Australia
| | - Hassan Abolhassani
- Division of Clinical Immunology at the Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, 141 86, Stockholm, Sweden
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Wei Zhang
- BGI-Shenzhen, Shenzhen, 518083, China
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
| | | | | | - Lihua Luo
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | | | - Liya Lin
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Xie Wang
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Asghar Aghamohammadi
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Tao Li
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Lennart Hammarström
- BGI-Shenzhen, Shenzhen, 518083, China.
- Division of Clinical Immunology at the Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, 141 86, Stockholm, Sweden.
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.
| | - Xiao Liu
- BGI-Shenzhen, Shenzhen, 518083, China.
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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32
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Ferrall-Fairbanks MC, Chakiryan N, Chobrutskiy BI, Kim Y, Teer JK, Berglund A, Mulé JJ, Fournier M, Siegel EM, Dhillon J, Falasiri SSA, Arturo JF, Katende EN, Blanck G, Manley BJ, Altrock PM. Quantification of T- and B-cell immune receptor distribution diversity characterizes immune cell infiltration and lymphocyte heterogeneity in clear cell renal cell carcinoma. Cancer Res 2022; 82:929-942. [DOI: 10.1158/0008-5472.can-21-1747] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/02/2021] [Accepted: 01/10/2022] [Indexed: 11/16/2022]
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Mayer-Blackwell K, Fiore-Gartland A, Thomas PG. Flexible Distance-Based TCR Analysis in Python with tcrdist3. Methods Mol Biol 2022; 2574:309-366. [PMID: 36087210 PMCID: PMC9719034 DOI: 10.1007/978-1-0716-2712-9_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Paired- and single-chain T cell receptor (TCR) sequencing are now commonly used techniques for interrogating adaptive immune responses. TCRs targeting the same epitope frequently share motifs consisting of critical contact residues. Here we illustrate the key features of tcrdist3, a new Python package for distance-based TCR analysis through a series of three interactive examples. In the first example, we illustrate how tcrdist3 can integrate sequence similarity networks, gene-usage plots, and background-adjusted CDR3 logos to identify TCR sequence features conferring antigen specificity among sets of peptide-MHC-multimer sorted receptors. In the second example, we show how the TCRjoin feature in tcrdist3 can be used to flexibly query receptor sequences of interest against bulk repertoires or libraries of previously annotated TCRs based on matching of similar sequences. In the third example, we show how the TCRdist metric can be leveraged to identify candidate polyclonal receptors under antigenic selection in bulk repertoires based on sequence neighbor enrichment testing, a statistical approach similar to TCRNET and ALICE algorithms, but with added flexibility in how the neighborhood can be defined.
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Affiliation(s)
- Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Paul G. Thomas
- Immunology Department, St. Jude Children’s Research Hospital, Memphis, USA,Corresponding author: Paul G. Thomas,
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Zhang H, Weyand CM, Goronzy JJ. Hallmarks of the aging T-cell system. FEBS J 2021; 288:7123-7142. [PMID: 33590946 PMCID: PMC8364928 DOI: 10.1111/febs.15770] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/24/2021] [Accepted: 02/15/2021] [Indexed: 12/21/2022]
Abstract
The adaptive immune system has the enormous challenge to protect the host through the generation and differentiation of pathogen-specific short-lived effector T cells while in parallel developing long-lived memory cells to control future encounters with the same pathogen. A complex regulatory network is needed to preserve a population of naïve cells over lifetime that exhibit sufficient diversity of antigen receptors to respond to new antigens, while also sustaining immune memory. In parallel, cells need to maintain their proliferative potential and the plasticity to differentiate into different functional lineages. Initial signs of waning immune competence emerge after 50 years of age, with increasing clinical relevance in the 7th-10th decade of life. Morbidity and mortality from infections increase, as drastically exemplified by the current COVID-19 pandemic. Many vaccines, such as for the influenza virus, are poorly effective to generate protective immunity in older individuals. Age-associated changes occur at the level of the T-cell population as well as the functionality of its cellular constituents. The system highly relies on the self-renewal of naïve and memory T cells, which is robust but eventually fails. Genetic and epigenetic modifications contribute to functional differences in responsiveness and differentiation potential. To some extent, these changes arise from defective maintenance; to some, they represent successful, but not universally beneficial adaptations to the aging host. Interventions that can compensate for the age-related defects and improve immune responses in older adults are increasingly within reach.
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Affiliation(s)
- Huimin Zhang
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
| | - Cornelia M. Weyand
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
| | - Jörg J. Goronzy
- Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA
- Department of Medicine, Palo Alto Veterans Administration Healthcare System, Palo Alto, CA, USA
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Mayer-Blackwell K, Schattgen S, Cohen-Lavi L, Crawford JC, Souquette A, Gaevert JA, Hertz T, Thomas PG, Bradley P, Fiore-Gartland A. TCR meta-clonotypes for biomarker discovery with tcrdist3 enabled identification of public, HLA-restricted clusters of SARS-CoV-2 TCRs. eLife 2021; 10:e68605. [PMID: 34845983 PMCID: PMC8631793 DOI: 10.7554/elife.68605] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 11/11/2021] [Indexed: 01/04/2023] Open
Abstract
T-cell receptors (TCRs) encode clinically valuable information that reflects prior antigen exposure and potential future response. However, despite advances in deep repertoire sequencing, enormous TCR diversity complicates the use of TCR clonotypes as clinical biomarkers. We propose a new framework that leverages experimentally inferred antigen-associated TCRs to form meta-clonotypes - groups of biochemically similar TCRs - that can be used to robustly quantify functionally similar TCRs in bulk repertoires across individuals. We apply the framework to TCR data from COVID-19 patients, generating 1831 public TCR meta-clonotypes from the SARS-CoV-2 antigen-associated TCRs that have strong evidence of restriction to patients with a specific human leukocyte antigen (HLA) genotype. Applied to independent cohorts, meta-clonotypes targeting these specific epitopes were more frequently detected in bulk repertoires compared to exact amino acid matches, and 59.7% (1093/1831) were more abundant among COVID-19 patients that expressed the putative restricting HLA allele (false discovery rate [FDR]<0.01), demonstrating the potential utility of meta-clonotypes as antigen-specific features for biomarker development. To enable further applications, we developed an open-source software package, tcrdist3, that implements this framework and facilitates flexible workflows for distance-based TCR repertoire analysis.
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Affiliation(s)
- Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Stefan Schattgen
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | - Liel Cohen-Lavi
- Department of Industrial Engineering and Management, Ben-Gurion University of the NegevBe'er ShevaIsrael
| | - Jeremy C Crawford
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | | | - Jessica A Gaevert
- Department of Immunology, St Jude Children's Research HospitalMemphisUnited States
| | - Tomer Hertz
- Shraga Segal Department of Microbiology and Immunology, Ben-Gurion University of the NegevBe'er ShevaUnited States
| | - Paul G Thomas
- St Jude Children's Research HospitalMemphisUnited States
| | - Philip Bradley
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
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Hou X, Wang G, Fan W, Chen X, Mo C, Wang Y, Gong W, Wen X, Chen H, He D, Mo L, Jiang S, Ou M, Guo H, Liu H. T-cell receptor repertoires as potential diagnostic markers for patients with COVID-19. Int J Infect Dis 2021; 113:308-317. [PMID: 34688948 PMCID: PMC8530772 DOI: 10.1016/j.ijid.2021.10.033] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/25/2021] [Accepted: 10/15/2021] [Indexed: 12/23/2022] Open
Abstract
Objective Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an ongoing global health emergency. T-cell receptors (TCRs) are crucial mediators of antiviral adaptive immunity. This study sought to comprehensively characterize the TCR repertoire changes in patients with COVID-19. Methods A large sample size multi-center randomized controlled trial was implemented to study the features of the TCR repertoire and identify COVID-19 disease-related TCR sequences. Results It was found that some T-cell receptor beta chain (TCRβ) features differed markedly between COVID-19 patients and healthy controls, including decreased repertoire diversity, longer complementarity-determining region 3 (CDR3) length, skewed utilization of the TCRβ variable gene/joining gene (TRBV/J), and a high degree of TCRβ sharing in COVID-19 patients. Moreover, this analysis showed that TCR repertoire diversity declines with aging, which may be a cause of the higher infection and mortality rates in elderly patients. Importantly, a set of TCRβ clones that can distinguish COVID-19 patients from healthy controls with high accuracy was identified. Notably, this diagnostic model demonstrates 100% specificity and 82.68% sensitivity at 0–3 days post diagnosis. Conclusions This study lays the foundation for immunodiagnosis and the development of medicines and vaccines for COVID-19 patients.
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Affiliation(s)
- Xianliang Hou
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Guangyu Wang
- College of Laboratory Medicine, Guilin Medical University, Guilin, 541199, China
| | - Wentao Fan
- Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Xiaoyan Chen
- Department of State Owned Assets Management, Affiliated Hospital of Guilin Medical University, Guilin, 541001, China
| | - Chune Mo
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Yongsi Wang
- Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Weiwei Gong
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Xuyan Wen
- Department of Pathology, Affiliated Hospital of Guilin Medical University, Guilin, 541001, China
| | - Hui Chen
- Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Dan He
- Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China
| | - Lijun Mo
- Clinical Laboratory, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Shaofeng Jiang
- Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, Guangxi, 541199, China
| | - Minglin Ou
- Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Haonan Guo
- Department of Clinical Laboratory, The Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, 541001, China.
| | - Hongbo Liu
- Department of Laboratory Medicine, the Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
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Age-related changes in the TRB and IGH repertoires in healthy adult males and females. Immunol Lett 2021; 240:71-76. [PMID: 34666136 DOI: 10.1016/j.imlet.2021.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 09/27/2021] [Accepted: 10/08/2021] [Indexed: 11/22/2022]
Abstract
A diverse immune repertoire is capable of recognizing the enormous universe of foreign antigens encountered over life. Aging has a profound impact on the immune repertoires. However, whether continuous age-related changes in the immune repertoires differ between sexes is unclear. In this study, the characteristics of immune repertoires stratified by sex during aging are deciphered by analyzing T-cell receptor β-chain (TRB) and immunoglobulin heavy chain (IGH) sequences in 361 healthy adults. A similar change was observed between males and females across their lifespan, whereas age-subgroup analysis revealed sex-specific signatures in TRB and IGH repertoires. In regard to TRB, in males, repertoire richness and evenness increases slightly before the age of 32 years and 45 years respectively, and decreases sharply thereafter. Intriguingly, in females, they decrease significantly until around the age 57 years old, and subsequently undergo a stable stage up to the age of 83 years. Although IGH repertoire evenness increases significantly with age in both sexes, richness decreases significantly with age in males but remains stable in females. Moreover, average length of IGH CDR3 increases with age. In conclusion, these findings provide fundamental insights into the mechanisms underlying sex differences in adaptive immunity.
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TCRβ rearrangements without a D segment are common, abundant, and public. Proc Natl Acad Sci U S A 2021; 118:2104367118. [PMID: 34551975 PMCID: PMC8488670 DOI: 10.1073/pnas.2104367118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/13/2021] [Indexed: 12/12/2022] Open
Abstract
The human body detects foreign pathogens by T cells with specific receptors. These are not directly encoded in the genome but generated in a random process that combines small gene segments into functional subunits of the receptor. The β-chain of the T cell receptor is normally composed of three such gene segments. Here we identify a group of T cells that lack the middle segment in their receptor sequence. We find that such sequences are mostly generated before birth, persist over a human lifetime, and, as a result, are excessively shared between individuals. T cells play an important role in adaptive immunity. An enormous clonal diversity of T cells with a different specificity, encoded by the T cell receptor (TCR), protect the body against infection. Most TCRβ chains are generated from a V, D, and J segment during recombination in the thymus. Although complete absence of the D segment is not easily detectable from sequencing data, we find convincing evidence for a substantial proportion of TCRβ rearrangements lacking a D segment. Additionally, sequences without a D segment are more likely to be abundant within individuals and/or shared between individuals. Our analysis indicates that such sequences are preferentially generated during fetal development and persist within the elderly. Summarizing, TCRβ rearrangements without a D segment are not uncommon, and tend to allow for TCRβ chains with a high abundance in the naive repertoire.
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Johnson SA, Seale SL, Gittelman RM, Rytlewski JA, Robins HS, Fields PA. Impact of HLA type, age and chronic viral infection on peripheral T-cell receptor sharing between unrelated individuals. PLoS One 2021; 16:e0249484. [PMID: 34460826 PMCID: PMC8405014 DOI: 10.1371/journal.pone.0249484] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/29/2021] [Indexed: 11/19/2022] Open
Abstract
The human adaptive immune system must generate extraordinary diversity to be able to respond to all possible pathogens. The T-cell repertoire derives this high diversity through somatic recombination of the T-cell receptor (TCR) locus, a random process that results in repertoires that are largely private to each individual. However, factors such as thymic selection and T-cell proliferation upon antigen exposure can affect TCR sharing among individuals. By immunosequencing the TCRβ variable region of 426 healthy individuals, we find that, on average, fewer than 1% of TCRβ clones are shared between individuals, consistent with largely private TCRβ repertoires. However, we detect a significant correlation between increased HLA allele sharing and increased number of shared TCRβ clones, with each additional shared HLA allele contributing to an increase in ~0.01% of the total shared TCRβ clones, supporting a key role for HLA type in shaping the immune repertoire. Surprisingly, we find that shared antigen exposure to CMV leads to fewer shared TCRβ clones, even after controlling for HLA, indicative of a largely private response to major viral antigenic exposure. Consistent with this hypothesis, we find that increased age is correlated with decreased overall TCRβ clone sharing, indicating that the pattern of private TCRβ clonal expansion is a general feature of the T-cell response to other infectious antigens as well. However, increased age also correlates with increased sharing among the lowest frequency clones, consistent with decreased repertoire diversity in older individuals. Together, all of these factors contribute to shaping the TCRβ repertoire, and understanding their interplay has important implications for the use of T cells for therapeutics and diagnostics.
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Affiliation(s)
- Sarah A. Johnson
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | - Spencer L. Seale
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | | | | | - Harlan S. Robins
- Adaptive Biotechnologies, Seattle, Washington, United States of America
| | - Paul A. Fields
- Adaptive Biotechnologies, Seattle, Washington, United States of America
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Foley MK, Searle SD, Toloue A, Booth R, Falkenham A, Falzarano D, Rubino S, Francis ME, McNeil M, Richardson C, LeBlanc J, Oldford S, Gerdts V, Andrew MK, McNeil SA, Clarke B, Rockwood K, Kelvin DJ, Kelvin AA. Centenarians and extremely old people living with frailty can elicit durable SARS-CoV-2 spike specific IgG antibodies with virus neutralization functions following virus infection as determined by serological study. EClinicalMedicine 2021; 37:100975. [PMID: 34222846 PMCID: PMC8235995 DOI: 10.1016/j.eclinm.2021.100975] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/21/2021] [Accepted: 06/04/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2) has led to more than 165 million COVID-19 cases and >3.4 million deaths worldwide. Epidemiological analysis has revealed that the risk of developing severe COVID-19 increases with age. Despite a disproportionate number of older individuals and long-term care facilities being affected by SARS-CoV-2 and COVID-19, very little is understood about the immune responses and development of humoral immunity in the extremely old person after SARS-CoV-2 infection. Here we conducted a serological study to investigate the development of humoral immunity in centenarians following a SARS-CoV-2 outbreak in a long-term care facility. METHODS Extreme aged individuals and centenarians who were residents in a long-term care facility and infected with or exposed to SARS-CoV-2 were investigated between April and June 2020 for the development of antibodies to SARS-CoV-2. Blood samples were collected from positive and bystander individuals 30 and 60 days after original diagnosis of SARS-CoV-2 infection. Plasma was used to quantify IgG, IgA, and IgM isotypes and subsequent subclasses of antibodies specific for SARS-CoV-2 spike protein. The function of anti-spike was then assessed by virus neutralization assays against the native SARS-CoV-2 virus. FINDINGS Fifteen long-term care residents were investigated for SARS-CoV-2 infection. All individuals had a Clinical Frailty scale score ≥5 and were of extreme older age or were centenarians. Six women with a median age of 98.8 years tested positive for SARS-CoV-2. Anti-spike IgG antibody titers were the highest titers observed in our cohort with all IgG positive individuals having virus neutralization ability. Additionally, 5 out of the 6 positive participants had a robust IgA anti-SARS-CoV-2 response. In all 5, antibodies were detected after 60 days from initial diagnosis.
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Affiliation(s)
- Mary K. Foley
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Samuel D. Searle
- Divsion of Geriatrics, Department of Medicine, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
- MRC Unit for Lifelong Health and Ageing, University College London, London, Gower Street, WC1E 6BT, England United Kingdom
| | - Ali Toloue
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Ryan Booth
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Alec Falkenham
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Darryl Falzarano
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, S7N 5E3, Canada
- Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Salvatore Rubino
- Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy
| | - Magen E. Francis
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, S7N 5E3, Canada
| | - Mara McNeil
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Christopher Richardson
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Jason LeBlanc
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
- Department of Medicine, Faculty of Medicine, Dalhousie University, University, Halifax, Nova Scotia, B3H 4R2, Canada
- Canadian Centre for Vaccinology, IWK Health Centre, Nova Scotia, Halifax, B3K 6R8 Canada
- Division of Microbiology, Department of Pathology and Laboratory Medicine, Faculty of Medicine, Dalhousie University, Nova Scotia, Halifax, B3H 4R2, Canada
| | - Sharon Oldford
- Canadian Centre for Vaccinology, IWK Health Centre, Nova Scotia, Halifax, B3K 6R8 Canada
- Division of Microbiology, Department of Pathology and Laboratory Medicine, Faculty of Medicine, Dalhousie University, Nova Scotia, Halifax, B3H 4R2, Canada
| | - Volker Gerdts
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, S7N 5E3, Canada
- Department of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Melissa K. Andrew
- Divsion of Geriatrics, Department of Medicine, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Shelly A. McNeil
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, S7N 5E3, Canada
| | - Barry Clarke
- Department of Family Medicine, Dalhousie University, Nova Scotia, Halifax, B3H 4R2, Canada
| | - Kenneth Rockwood
- Divsion of Geriatrics, Department of Medicine, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - David J. Kelvin
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
- Canadian Centre for Vaccinology, IWK Health Centre, Nova Scotia, Halifax, B3K 6R8 Canada
- Laboratory of Immunity, Shantou University Medical College, 22 Xinling Rd, Jinping, Shantou, China
| | - Alyson A. Kelvin
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, S7N 5E3, Canada
- Canadian Centre for Vaccinology, IWK Health Centre, Nova Scotia, Halifax, B3K 6R8 Canada
- Department of Pediatrics, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
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Lanfermeijer J, de Greef PC, Hendriks M, Vos M, van Beek J, Borghans JAM, van Baarle D. Age and CMV-Infection Jointly Affect the EBV-Specific CD8 + T-Cell Repertoire. FRONTIERS IN AGING 2021; 2:665637. [PMID: 35822032 PMCID: PMC9261403 DOI: 10.3389/fragi.2021.665637] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/31/2021] [Indexed: 01/15/2023]
Abstract
CD8+ T cells play an important role in protection against viral infections. With age, changes in the T-cell pool occur, leading to diminished responses against both new and recurring infections in older adults. This is thought to be due to a decrease in both T-cell numbers and T-cell receptor (TCR) diversity. Latent infection with cytomegalovirus (CMV) is assumed to contribute to this age-associated decline of the immune system. The observation that the level of TCR diversity in the total memory T-cell pool stays relatively stable during aging is remarkable in light of the constant input of new antigen-specific memory T cells. What happens with the diversity of the individual antigen-specific T-cell repertoires in the memory pool remains largely unknown. Here we studied the effect of aging on the phenotype and repertoire diversity of CMV-specific and Epstein-Barr virus (EBV)-specific CD8+ T cells, as well as the separate effects of aging and CMV-infection on the EBV-specific T-cell repertoire. Antigen-specific T cells against both persistent viruses showed an age-related increase in the expression of markers associated with a more differentiated phenotype, including KLRG-1, an increase in the fraction of terminally differentiated T cells, and a decrease in the diversity of the T-cell repertoire. Not only age, but also CMV infection was associated with a decreased diversity of the EBV-specific T-cell repertoire. This suggests that both CMV infection and age can impact the T-cell repertoire against other antigens.
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Affiliation(s)
- Josien Lanfermeijer
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Peter C. de Greef
- Theoretical Biology and Bioinformatics, Utrecht University, Utrecht, Netherlands
| | - Marion Hendriks
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Martijn Vos
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Josine van Beek
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - José A. M. Borghans
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Debbie van Baarle
- Center for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
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CD4 + T Cells Recognize Conserved Influenza A Epitopes through Shared Patterns of V-Gene Usage and Complementary Biochemical Features. Cell Rep 2021; 32:107885. [PMID: 32668259 PMCID: PMC7370177 DOI: 10.1016/j.celrep.2020.107885] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 01/20/2020] [Accepted: 06/17/2020] [Indexed: 12/15/2022] Open
Abstract
T cell recognition of peptides presented by human leukocyte antigens (HLAs) is mediated by the highly variable T cell receptor (TCR). Despite this built-in TCR variability, individuals can mount immune responses against viral epitopes by using identical or highly related TCRs expressed on CD8+ T cells. Characterization of these TCRs has extended our understanding of the molecular mechanisms that govern the recognition of peptide-HLA. However, few examples exist for CD4+ T cells. Here, we investigate CD4+ T cell responses to the internal proteins of the influenza A virus that correlate with protective immunity. We identify five internal epitopes that are commonly recognized by CD4+ T cells in five HLA-DR1+ subjects and show conservation across viral strains and zoonotic reservoirs. TCR repertoire analysis demonstrates several shared gene usage biases underpinned by complementary biochemical features evident in a structural comparison. These epitopes are attractive targets for vaccination and other T cell therapies.
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43
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Mayer-Blackwell K, Schattgen S, Cohen-Lavi L, Crawford JC, Souquette A, Gaevert JA, Hertz T, Thomas PG, Bradley P, Fiore-Gartland A. TCR meta-clonotypes for biomarker discovery with tcrdist3: identification of public, HLA-restricted SARS-CoV-2 associated TCR features. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 33398288 PMCID: PMC7781332 DOI: 10.1101/2020.12.24.424260] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
As the mechanistic basis of adaptive cellular antigen recognition, T cell receptors (TCRs) encode clinically valuable information that reflects prior antigen exposure and potential future response. However, despite advances in deep repertoire sequencing, enormous TCR diversity complicates the use of TCR clonotypes as clinical biomarkers. We propose a new framework that leverages antigen-enriched repertoires to form meta-clonotypes - groups of biochemically similar TCRs - that can be used to robustly identify and quantify functionally similar TCRs in bulk repertoires. We apply the framework to TCR data from COVID-19 patients, generating 1831 public TCR meta-clonotypes from the 17 SARS-CoV-2 antigen-enriched repertoires with the strongest evidence of HLA-restriction. Applied to independent cohorts, meta-clonotypes targeting these specific epitopes were more frequently detected in bulk repertoires compared to exact amino acid matches, and 59.7% (1093/1831) were more abundant among COVID-19 patients that expressed the putative restricting HLA allele (FDR < 0.01), demonstrating the potential utility of meta-clonotypes as antigen-specific features for biomarker development. To enable further applications, we developed an open-source software package, tcrdist3, that implements this framework and facilitates flexible workflows for distance-based TCR repertoire analysis.
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Affiliation(s)
- Koshlan Mayer-Blackwell
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Stefan Schattgen
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Liel Cohen-Lavi
- Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel.,National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
| | | | - Aisha Souquette
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Jessica A Gaevert
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA.,St. Jude Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, USA
| | - Tomer Hertz
- Shraga Segal Department of Microbiology and Immunology, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Paul G Thomas
- Immunology Department, St. Jude Children's Research Hospital, Memphis, USA
| | - Philip Bradley
- Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Andrew Fiore-Gartland
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, USA
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44
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Comprehensive analysis of TCR repertoire in COVID-19 using single cell sequencing. Genomics 2021; 113:456-462. [PMID: 33383142 PMCID: PMC7833309 DOI: 10.1016/j.ygeno.2020.12.036] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/20/2020] [Accepted: 12/27/2020] [Indexed: 01/07/2023]
Abstract
T-cell receptor (TCR) is crucial in T cell-mediated virus clearance. To date, TCR bias has been observed in various diseases. However, studies on the TCR repertoire of COVID-19 patients are lacking. Here, we used single-cell V(D)J sequencing to conduct comparative analyses of TCR repertoire between 12 COVID-19 patients and 6 healthy controls, as well as other virus-infected samples. We observed distinct T cell clonal expansion in COVID-19. Further analysis of VJ gene combination revealed 6 VJ pairs significantly increased, while 139 pairs significantly decreased in COVID-19 patients. When considering the VJ combination of α and β chains at the same time, the combination with the highest frequency on COVID-19 was TRAV12-2-J27-TRBV7-9-J2-3. Besides, preferential usage of V and J gene segments was also observed in samples infected by different viruses. Our study provides novel insights on TCR in COVID-19, which contribute to our understanding of the immune response induced by SARS-CoV-2.
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45
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Xydia M, Rahbari R, Ruggiero E, Macaulay I, Tarabichi M, Lohmayer R, Wilkening S, Michels T, Brown D, Vanuytven S, Mastitskaya S, Laidlaw S, Grabe N, Pritsch M, Fronza R, Hexel K, Schmitt S, Müller-Steinhardt M, Halama N, Domschke C, Schmidt M, von Kalle C, Schütz F, Voet T, Beckhove P. Common clonal origin of conventional T cells and induced regulatory T cells in breast cancer patients. Nat Commun 2021; 12:1119. [PMID: 33602930 PMCID: PMC7893042 DOI: 10.1038/s41467-021-21297-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023] Open
Abstract
Regulatory CD4+ T cells (Treg) prevent tumor clearance by conventional T cells (Tconv) comprising a major obstacle of cancer immune-surveillance. Hitherto, the mechanisms of Treg repertoire formation in human cancers remain largely unclear. Here, we analyze Treg clonal origin in breast cancer patients using T-Cell Receptor and single-cell transcriptome sequencing. While Treg in peripheral blood and breast tumors are clonally distinct, Tconv clones, including tumor-antigen reactive effectors (Teff), are detected in both compartments. Tumor-infiltrating CD4+ cells accumulate into distinct transcriptome clusters, including early activated Tconv, uncommitted Teff, Th1 Teff, suppressive Treg and pro-tumorigenic Treg. Trajectory analysis suggests early activated Tconv differentiation either into Th1 Teff or into suppressive and pro-tumorigenic Treg. Importantly, Tconv, activated Tconv and Treg share highly-expanded clones contributing up to 65% of intratumoral Treg. Here we show that Treg in human breast cancer may considerably stem from antigen-experienced Tconv converting into secondary induced Treg through intratumoral activation.
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Affiliation(s)
- Maria Xydia
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany.
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany.
| | - Raheleh Rahbari
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
| | - Eliana Ruggiero
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Iain Macaulay
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- Technical Development, Earlham Institute, Norwich, UK
| | - Maxime Tarabichi
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- The Francis Crick Institute, London, UK
| | - Robert Lohmayer
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany
- Institute for Theoretical Physics, University of Regensburg, Regensburg, Germany
| | - Stefan Wilkening
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Tillmann Michels
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany
| | - Daniel Brown
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
- The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia
| | - Sebastiaan Vanuytven
- The Francis Crick Institute, London, UK
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Svetlana Mastitskaya
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Centre for Cardiovascular and Metabolic Neuroscience, Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Sean Laidlaw
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
| | - Niels Grabe
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Hamamatsu Tissue Imaging and Analysis Centre, BIOQUANT, University of Heidelberg, Heidelberg, Germany
| | - Maria Pritsch
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany
| | - Raffaele Fronza
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Klaus Hexel
- Flow Cytometry Core Facility, German Cancer Research Centre, Heidelberg, Germany
| | - Steffen Schmitt
- Flow Cytometry Core Facility, German Cancer Research Centre, Heidelberg, Germany
| | - Michael Müller-Steinhardt
- German Red Cross (DRK Blood Donation Service in Baden-Württemberg-Hessen) and Institute for Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Niels Halama
- Medical Oncology Department, National Centre for Tumor Diseases, Heidelberg, Germany
- Hamamatsu Tissue Imaging and Analysis Centre, BIOQUANT, University of Heidelberg, Heidelberg, Germany
| | - Christoph Domschke
- Department of Gynecology and Obstetrics, University Hospital of Heidelberg, Heidelberg, Germany
| | - Manfred Schmidt
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
| | - Christof von Kalle
- Translational Oncology Department, National Centre for Tumor Diseases and German Cancer Research Centre, Heidelberg, Germany
- Clinical Study Centre, Charité/BIH, Berlin, Germany
| | - Florian Schütz
- Department of Gynecology and Obstetrics, University Hospital of Heidelberg, Heidelberg, Germany
| | - Thierry Voet
- The Cancer, Ageing and Somatic Mutation Program, Wellcome Sanger Institute, Hinxton, UK
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Philipp Beckhove
- RCI Regensburg Centre for Interventional Immunology, University and Department of Hematology/Oncology, University Medical Centre of Regensburg, Regensburg, Germany.
- Translational Immunology Department, German Cancer Research Centre, Heidelberg, Germany.
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46
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Sponaas AM, Waage A, Vandsemb EN, Misund K, Børset M, Sundan A, Slørdahl TS, Standal T. Bystander Memory T Cells and IMiD/Checkpoint Therapy in Multiple Myeloma: A Dangerous Tango? Front Immunol 2021; 12:636375. [PMID: 33679794 PMCID: PMC7928324 DOI: 10.3389/fimmu.2021.636375] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 01/26/2021] [Indexed: 12/19/2022] Open
Abstract
In this review article we discuss the role of the memory T cells in multiple myeloma (MM) and how they may influence immune responses in patients that received immunomodulating drugs and check point therapy.
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Affiliation(s)
- Anne Marit Sponaas
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Anders Waage
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Hematology, St.Olavs Hospital, Trondheim, Norway
| | - Esten N Vandsemb
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Kristine Misund
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Magne Børset
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Immunology and Transfusion Medicine, St.Olavs Hospital, Trondheim, Norway
| | - Anders Sundan
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Tobias Schmidt Slørdahl
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Hematology, St.Olavs Hospital, Trondheim, Norway
| | - Therese Standal
- Department of Clinical and Molecular Medicine, Center for Myeloma Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Clinical and Molecular Medicine, Center of Molecular Inflammation Research, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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47
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Foth S, Völkel S, Bauersachs D, Zemlin M, Skevaki C. T Cell Repertoire During Ontogeny and Characteristics in Inflammatory Disorders in Adults and Childhood. Front Immunol 2021; 11:611573. [PMID: 33633732 PMCID: PMC7899981 DOI: 10.3389/fimmu.2020.611573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/22/2020] [Indexed: 12/17/2022] Open
Abstract
Since the first day of life, a newborn has to deal with various pathogens from the environment. While passive immune protection is provided by diaplacental maternal antibodies, the development of cellular immunity is ongoing. A mature immune system should be able not only to defend against pathogens, but should also be able to differentiate between self- and non-self-antigens. Dysregulation in the development of cellular immunity can lead to severe disorders like immunodeficiency, autoimmunity and chronic inflammation. In this review, we explain the role of T cell immunity in antigen detection and summarize the characteristics of a mature TCR repertoire as well as the current state of knowledge about the development of the TCR repertoire in ontogenesis. In addition, methods of assessments are outlined, with a focus on the advantages and disadvantages of advanced methods such as next generation sequencing. Subsequently, we provide an overview of various disorders occuring in early childhood like immunodeficiencies, autoimmunity, allergic diseases and chronic infections and outline known changes in the TCR repertoire. Finally, we summarize the latest findings and discuss current research gaps as well as potential future developments.
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Affiliation(s)
- Svenja Foth
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Sara Völkel
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Daniel Bauersachs
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
| | - Michael Zemlin
- Department of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany
| | - Chrysanthi Skevaki
- German Center for Lung Research (DZL), Institute of Laboratory Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Philipps University Marburg, Marburg, Germany
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48
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Izraelson M, Metsger M, Davydov AN, Shagina IA, Dronina MA, Obraztsova AS, Miskevich DA, Mamedov IZ, Volchkova LN, Nakonechnaya TO, Shugay M, Bolotin DA, Staroverov DB, Sharonov GV, Kondratyuk EY, Zagaynova EV, Lukyanov S, Shams I, Britanova OV, Chudakov DM. Distinct organization of adaptive immunity in the long-lived rodent Spalax galili. NATURE AGING 2021; 1:179-189. [PMID: 37118630 DOI: 10.1038/s43587-021-00029-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 01/08/2021] [Indexed: 04/30/2023]
Abstract
A balanced immune response is a cornerstone of healthy aging. Here, we uncover distinctive features of the long-lived blind mole-rat (Spalax spp.) adaptive immune system, relative to humans and mice. The T-cell repertoire remains diverse throughout the Spalax lifespan, suggesting a paucity of large long-lived clones of effector-memory T cells. Expression of master transcription factors of T-cell differentiation, as well as checkpoint and cytotoxicity genes, remains low as Spalax ages. The thymus shrinks as in mice and humans, while interleukin-7 and interleukin-7 receptor expression remains high, potentially reflecting the sustained homeostasis of naive T cells. With aging, immunoglobulin hypermutation level does not increase and the immunoglobulin-M repertoire remains diverse, suggesting shorter B-cell memory and sustained homeostasis of innate-like B cells. The Spalax adaptive immune system thus appears biased towards sustained functional and receptor diversity over specialized, long-lived effector-memory clones-a unique organizational strategy that potentially underlies this animal's extraordinary longevity and healthy aging.
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Affiliation(s)
- M Izraelson
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - M Metsger
- Central European Institute of Technology, Brno, Czech Republic
| | - A N Davydov
- Central European Institute of Technology, Brno, Czech Republic
| | - I A Shagina
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - M A Dronina
- Institute of Evolution & Department of Evolutionary and Environmental Biology, University of Haifa, Haifa, Israel
| | - A S Obraztsova
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - D A Miskevich
- Institute of Evolution & Department of Evolutionary and Environmental Biology, University of Haifa, Haifa, Israel
| | - I Z Mamedov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
- Central European Institute of Technology, Brno, Czech Republic
| | - L N Volchkova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - T O Nakonechnaya
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - M Shugay
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - D A Bolotin
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - D B Staroverov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - G V Sharonov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - E Y Kondratyuk
- Institute of Systematics and Ecology of Animals SB RAS, Novosibirsk, Russia
| | - E V Zagaynova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - S Lukyanov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - I Shams
- Institute of Evolution & Department of Evolutionary and Environmental Biology, University of Haifa, Haifa, Israel
| | - O V Britanova
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
| | - D M Chudakov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia.
- Pirogov Russian National Research Medical University, Moscow, Russia.
- Central European Institute of Technology, Brno, Czech Republic.
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49
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Barennes P, Quiniou V, Shugay M, Egorov ES, Davydov AN, Chudakov DM, Uddin I, Ismail M, Oakes T, Chain B, Eugster A, Kashofer K, Rainer PP, Darko S, Ransier A, Douek DC, Klatzmann D, Mariotti-Ferrandiz E. Benchmarking of T cell receptor repertoire profiling methods reveals large systematic biases. Nat Biotechnol 2021; 39:236-245. [PMID: 32895550 DOI: 10.1038/s41587-020-0656-3] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 07/28/2020] [Indexed: 12/13/2022]
Abstract
Monitoring the T cell receptor (TCR) repertoire in health and disease can provide key insights into adaptive immune responses, but the accuracy of current TCR sequencing (TCRseq) methods is unclear. In this study, we systematically compared the results of nine commercial and academic TCRseq methods, including six rapid amplification of complementary DNA ends (RACE)-polymerase chain reaction (PCR) and three multiplex-PCR approaches, when applied to the same T cell sample. We found marked differences in accuracy and intra- and inter-method reproducibility for T cell receptor α (TRA) and T cell receptor β (TRB) TCR chains. Most methods showed a lower ability to capture TRA than TRB diversity. Low RNA input generated non-representative repertoires. Results from the 5' RACE-PCR methods were consistent among themselves but differed from the RNA-based multiplex-PCR results. Using an in silico meta-repertoire generated from 108 replicates, we found that one genomic DNA-based method and two non-unique molecular identifier (UMI) RNA-based methods were more sensitive than UMI methods in detecting rare clonotypes, despite the better clonotype quantification accuracy of the latter.
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Affiliation(s)
- Pierre Barennes
- Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
- AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Valentin Quiniou
- Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
- AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Mikhail Shugay
- Center of Life Sciences, Skoltech, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Evgeniy S Egorov
- Genomics of Adaptive Immunity Department, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Alexey N Davydov
- Adaptive Immunity Group, Central European Institute of Technology, Brno, Czechia
| | - Dmitriy M Chudakov
- Center of Life Sciences, Skoltech, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Adaptive Immunity Group, Central European Institute of Technology, Brno, Czechia
| | - Imran Uddin
- Division of Infection and Immunity, University College London, London, UK
| | - Mazlina Ismail
- Division of Infection and Immunity, University College London, London, UK
| | - Theres Oakes
- Division of Infection and Immunity, University College London, London, UK
| | - Benny Chain
- Division of Infection and Immunity, University College London, London, UK
| | - Anne Eugster
- DFG-Centre for Regenerative Therapies Dresden, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Karl Kashofer
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Peter P Rainer
- Division of Cardiology, Medical University of Graz, Graz, Austria
- BioTechMed-Graz, Graz, Austria
| | - Samuel Darko
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Amy Ransier
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Daniel C Douek
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - David Klatzmann
- Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), Paris, France
- AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France
| | - Encarnita Mariotti-Ferrandiz
- Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), Paris, France.
- AP-HP, Hôpital Pitié-Salpêtrière, Biotherapy (CIC-BTi) and Inflammation-Immunopathology-Biotherapy Department (i2B), Paris, France.
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50
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Tolstykh EI, Vozilova AV, Degteva MO, Akleyev AV. Concept of T-Cell Genus as a Basis for Analysis of the Results of Cytogenetic Studies after Local Bone Marrow Exposure. BIOL BULL+ 2021. [DOI: 10.1134/s1062359020110151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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