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Clarke T, Du P, Kumar S, Okitsu SL, Schuette M, An Q, Zhang J, Tzvetkov E, Jensen MA, Niewold TB, Ferre EMN, Nardone J, Lionakis MS, Vlach J, DeMartino J, Bender AT. Autoantibody repertoire characterization provides insight into the pathogenesis of monogenic and polygenic autoimmune diseases. Front Immunol 2023; 14:1106537. [PMID: 36845162 PMCID: PMC9955420 DOI: 10.3389/fimmu.2023.1106537] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/16/2023] [Indexed: 02/12/2023] Open
Abstract
Autoimmune diseases vary in the magnitude and diversity of autoantibody profiles, and these differences may be a consequence of different types of breaks in tolerance. Here, we compared the disparate autoimmune diseases autoimmune polyendocrinopathy-candidiasis-ecto-dermal dystrophy (APECED), systemic lupus erythematosus (SLE), and Sjogren's syndrome (SjS) to gain insight into the etiology of breaks in tolerance triggering autoimmunity. APECED was chosen as a prototypical monogenic disease with organ-specific pathology while SjS and SLE represent polygenic autoimmunity with focal or systemic disease. Using protein microarrays for autoantibody profiling, we found that APECED patients develop a focused but highly reactive set of shared mostly anti-cytokine antibodies, while SLE patients develop broad and less expanded autoantibody repertoires against mostly intracellular autoantigens. SjS patients had few autoantibody specificities with the highest shared reactivities observed against Ro-52 and La. RNA-seq B-cell receptor analysis revealed that APECED samples have fewer, but highly expanded, clonotypes compared with SLE samples containing a diverse, but less clonally expanded, B-cell receptor repertoire. Based on these data, we propose a model whereby the presence of autoreactive T-cells in APECED allows T-dependent B-cell responses against autoantigens, while SLE is driven by breaks in peripheral B-cell tolerance and extrafollicular B-cell activation. These results highlight differences in the autoimmunity observed in several monogenic and polygenic disorders and may be generalizable to other autoimmune diseases.
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Affiliation(s)
- Thomas Clarke
- TIP Immunology, EMD Serono, Billerica, MA, United States
| | - Pan Du
- TIP Immunology, EMD Serono, Billerica, MA, United States
| | | | | | - Mark Schuette
- Protein Engineering and Antibody Technologies, Merck KGaA, Darmstadt, Germany
| | - Qi An
- TIP Immunology, EMD Serono, Billerica, MA, United States
| | - Jinyang Zhang
- TIP Immunology, EMD Serono, Billerica, MA, United States
| | | | - Mark A. Jensen
- Department of Immunology, Division of Rheumatology, Mayo Clinic, Rochester, MN, United States
| | - Timothy B. Niewold
- Department of Immunology, Division of Rheumatology, Mayo Clinic, Rochester, MN, United States
| | - Elise M. N. Ferre
- Fungal Pathogenesis Section, Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, United States
| | - Julie Nardone
- TIP Immunology, EMD Serono, Billerica, MA, United States
| | - Michail S. Lionakis
- Fungal Pathogenesis Section, Laboratory of Clinical Immunology and Microbiology (LCIM), National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, United States
| | - Jaromir Vlach
- TIP Immunology, EMD Serono, Billerica, MA, United States
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2
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Wong P, Cina DP, Sherwood KR, Fenninger F, Sapir-Pichhadze R, Polychronakos C, Lan J, Keown PA. Clinical application of immune repertoire sequencing in solid organ transplant. Front Immunol 2023; 14:1100479. [PMID: 36865546 PMCID: PMC9971933 DOI: 10.3389/fimmu.2023.1100479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/25/2023] [Indexed: 02/16/2023] Open
Abstract
Background Measurement of T cell receptor (TCR) or B cell receptor (BCR) gene utilization may be valuable in monitoring the dynamic changes in donor-reactive clonal populations following transplantation and enabling adjustment in therapy to avoid the consequences of excess immune suppression or to prevent rejection with contingent graft damage and to indicate the development of tolerance. Objective We performed a review of current literature to examine research in immune repertoire sequencing in organ transplantation and to assess the feasibility of this technology for clinical application in immune monitoring. Methods We searched MEDLINE and PubMed Central for English-language studies published between 2010 and 2021 that examined T cell/B cell repertoire dynamics upon immune activation. Manual filtering of the search results was performed based on relevancy and predefined inclusion criteria. Data were extracted based on study and methodology characteristics. Results Our initial search yielded 1933 articles of which 37 met the inclusion criteria; 16 of these were kidney transplant studies (43%) and 21 were other or general transplantation studies (57%). The predominant method for repertoire characterization was sequencing the CDR3 region of the TCR β chain. Repertoires of transplant recipients were found to have decreased diversity in both rejectors and non-rejectors when compared to healthy controls. Rejectors and those with opportunistic infections were more likely to have clonal expansion in T or B cell populations. Mixed lymphocyte culture followed by TCR sequencing was used in 6 studies to define an alloreactive repertoire and in specialized transplant settings to track tolerance. Conclusion Methodological approaches to immune repertoire sequencing are becoming established and offer considerable potential as a novel clinical tool for pre- and post-transplant immune monitoring.
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Affiliation(s)
- Paaksum Wong
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Davide P Cina
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Karen R Sherwood
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Franz Fenninger
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ruth Sapir-Pichhadze
- Department of Medicine, Division of Nephrology, McGill University, Montreal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Constantin Polychronakos
- Department of Pediatrics, The Research Institute of the McGill University Health Centre and the Montreal Children's Hospital, Montreal, QC, Canada
| | - James Lan
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Paul A Keown
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
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3
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Zhuo Y, Yang X, Shuai P, Yang L, Wen X, Zhong X, Yang S, Xu S, Liu Y, Zhang Z. Evaluation and comparison of adaptive immunity through analyzing the diversities and clonalities of T-cell receptor repertoires in the peripheral blood. Front Immunol 2022; 13:916430. [PMID: 36159829 PMCID: PMC9493076 DOI: 10.3389/fimmu.2022.916430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
The adaptive immune system plays an important role in defending against different kinds of diseases, including infection and cancer. There has been a longtime need for a simple method to quantitatively evaluate the potency of adaptive immunity in our bodies. The tremendously diversified T-cell receptor (TCR) repertoires are the foundation of the adaptive immune system. In this study, we analyzed the expressed TCRβ repertoires in the peripheral blood of 582 healthy donors and 60 cancer patients. The TCR repertoire in each individual is different, with different usages of TCR Vβ and Jβ genes. Importantly, the TCR diversity and clonality change along with age and disease situation. Most elder individuals and cancer patients have elevated numbers of large TCRβ clones and reduced numbers of shared common clones, and thus, they have very low TCR diversity index (D50) values. These results reveal the alteration of the expressed TCRβ repertoire with aging and oncogenesis, and thus, we hypothesize that the TCR diversity and clonality in the peripheral blood might be used to evaluate and compare the adaptive immunities among different individuals in clinical practice.
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Affiliation(s)
- Yue Zhuo
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Ping Shuai
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Liangliang Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueping Wen
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Xuemei Zhong
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shihan Yang
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - Shaoxian Xu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuping Liu
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
| | - Zhixin Zhang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Zhixin Zhang, ; Yuping Liu,
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4
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Wu TH, Liao HT, Li TH, Tsai HC, Lin NC, Chen CY, Tsai SF, Huang TH, Tsai CY, Yu CL. High-Throughput Sequencing of Complementarity Determining Region 3 in the Heavy Chain of B-Cell Receptor in Renal Transplant Recipients: A Preliminary Report. J Clin Med 2022; 11:jcm11112980. [PMID: 35683373 PMCID: PMC9181060 DOI: 10.3390/jcm11112980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/01/2022] [Accepted: 05/23/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Graft failure resulting from rejection or any other adverse event usually originates from an aberrant and/or exaggerated immune response and is often catastrophic in renal transplantation. So, it is essential to monitor patients’ immune status for detecting a rejection/graft failure early on. Methods: We monitored the sequence change of complementary determining region 3 (CDR3) in B-cell receptor (BCR) immunoglobulin heavy-chain (IGH) immune repertoire (iR) in 14 renal transplant patients using next-generation sequencing (NGS), correlating its diversity to various clinical events occurring after transplantation. BCR-IGH-CDR3 in peripheral blood mononuclear cells was sequenced along the post-transplantation course by NGS using the iRweb server. Results: Datasets covering VDJ regions of BCR-IGH-CDR3 indicated clonal diversity (D50) variations along the post-transplant course. Furthermore, principal component analysis showed the clustering of these sequence variations. A total of 544 shared sequences were identified before transplantation. D50 remained low in three patients receiving rituximab. Among them, one’s D50 resumed after 3 m, indicating graft tolerance. The D50 rapidly increased after grafting and decreased thereafter in four patients without rejection, decreased in two patients with T-cell-mediated rejection (TCMR) and exhibited a sharp down-sliding after 3 m in two patients receiving donations after cardiac death (DCD). In another two patients with TCMR, D50 was low just before individual episodes, but either became persistently low or returned to a plateau, depending on the failure or success of the immunosuppressive treatments. Shared CDR3 clonal expansions correlated to D50 changes. Agglomerative hierarchical clustering showed a commonly shared CDR3 sequence and at least two different clusters in five patients. Conclusions: Clonal diversity in BCR-IGH-CDR3 varied depending on clinical courses of 14 renal transplant patients, including B-cell suppression therapy, TCMR, DCD, and graft tolerance. Adverse events on renal graft failure might lead to different clustering of BCR iR. However, these preliminary data need further verification in further studies for the possible applications of iR changes as genetic expression biomarkers or laboratory parameters to detect renal graft failure/rejection earlier.
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Affiliation(s)
- Tsai-Hung Wu
- Division of Nephrology, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
| | - Hsien-Tzung Liao
- Division of Allergy, Immunology & Rheumatology, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (H.-T.L.); (H.-C.T.)
| | - Tzu-Hao Li
- Division of Immunology & Rheumatology, Shin Kong Wu Ho Su Memorial Hospital, Taipei 11101, Taiwan;
| | - Hung-Cheng Tsai
- Division of Allergy, Immunology & Rheumatology, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (H.-T.L.); (H.-C.T.)
| | - Niang-Cheng Lin
- Division of Transplantation Surgery, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (N.-C.L.); (C.-Y.C.)
| | - Cheng-Yen Chen
- Division of Transplantation Surgery, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (N.-C.L.); (C.-Y.C.)
| | - Shih-Feng Tsai
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan 35053, Taiwan;
| | - Tzu-Hao Huang
- Department of Urology, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
| | - Chang-Youh Tsai
- Division of Allergy, Immunology & Rheumatology, Fu Jen Catholic University Hospital, New Taipei City 24352, Taiwan
- Correspondence: or (C.-Y.T.); (C.-L.Y.)
| | - Chia-Li Yu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan
- Correspondence: or (C.-Y.T.); (C.-L.Y.)
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5
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Louis K, Bailly E, Macedo C, Lau L, Ramaswami B, Chang A, Chandran U, Landsittel D, Gu X, Chalasani G, Zeevi A, Randhawa P, Singh H, Lefaucheur C, Metes D. T-bet+CD27+CD21- B cells poised for plasma cell differentiation during antibody-mediated rejection of kidney transplants. JCI Insight 2021; 6:148881. [PMID: 34032636 PMCID: PMC8262465 DOI: 10.1172/jci.insight.148881] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/12/2021] [Indexed: 11/17/2022] Open
Abstract
Alloimmune responses driven by donor-specific antibodies (DSAs) can lead to antibody-mediated rejection (ABMR) in organ transplantation. Yet, the cellular states underlying alloreactive B cell responses and the molecular components controlling them remain unclear. Using high-dimensional profiling of B cells in a cohort of 96 kidney transplant recipients, we identified expanded numbers of CD27+CD21– activated memory (AM) B cells that expressed the transcription factor T-bet in patients who developed DSAs and progressed to ABMR. Notably, AM cells were less frequent in DSA+ABMR– patients and at baseline levels in DSA– patients. RNA-Seq analysis of AM cells in patients undergoing ABMR revealed these cells to be poised for plasma cell differentiation and to express restricted IGHV sequences reflective of clonal expansion. In addition to T-bet, AM cells manifested elevated expression of interferon regulatory factor 4 and Blimp1, and upon coculture with autologous T follicular helper cells, differentiated into DSA-producing plasma cells in an IL-21–dependent manner. The frequency of AM cells was correlated with the timing and severity of ABMR manifestations. Importantly, T-bet+ AM cells were detected within kidney allografts along with their restricted IGHV sequences. This study delineates a pivotal role for AM cells in promoting humoral responses and ABMR in organ transplantation and highlights them as important therapeutic targets.
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Affiliation(s)
- Kevin Louis
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Human Immunology and Immunopathology, INSERM UMR 976, Université de Paris, Paris, France
| | - Elodie Bailly
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Human Immunology and Immunopathology, INSERM UMR 976, Université de Paris, Paris, France
| | - Camila Macedo
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Louis Lau
- Center for Systems Immunology.,Department of Immunology
| | - Bala Ramaswami
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | | | | | | | - Xinyan Gu
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Geetha Chalasani
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Department of Immunology.,Department of Medicine, and
| | - Adriana Zeevi
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Department of Immunology.,Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Parmjeet Randhawa
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Carmen Lefaucheur
- Human Immunology and Immunopathology, INSERM UMR 976, Université de Paris, Paris, France
| | - Diana Metes
- Department of Surgery, Thomas E. Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.,Department of Immunology
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6
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Vajda S, Porter KA, Kozakov D. Progress toward improved understanding of antibody maturation. Curr Opin Struct Biol 2021; 67:226-231. [PMID: 33610066 DOI: 10.1016/j.sbi.2020.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022]
Abstract
Upon encountering an antigen, antibodies mature through various rounds of somatic mutations, resulting in higher affinities and specificities to the particular antigen. We review recent progress in four areas of antibody maturation studies. (1) Next-generation and single-cell sequencing have revolutionized the analysis of antibody repertoires by dramatically increasing the sequences available to study the state and evolution of the immune system. Computational methods, including machine learning tools, have been developed for reconstituting antibody clonal lineages and for general repertoire analysis. (2) The availability of X-ray structures, thermodynamic and kinetic data, and molecular dynamics simulations provide information on the biophysical mechanisms responsible for improved affinity. (3) In addition to improved binding to a specific antigen, providing affinity-independent diversity and self/nonself discrimination are fundamental functions of the immune system. Recent studies, including X-ray structures, yield improved understanding of both mechanisms. (4) Results from in vivo maturation help to develop methods of in vitro maturation to improve antibody properties for therapeutic applications, frequently combining computational and experimental approaches.
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Affiliation(s)
- Sandor Vajda
- Department of Biomedical Engineering, Boston University, Boston MA 02215, United States.
| | - Kathryn A Porter
- Department of Biomedical Engineering, Boston University, Boston MA 02215, United States
| | - Dima Kozakov
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook NY 11794, United States; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook NY, 11790, United States.
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7
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Lee S, Zhao L, Little LD, Westin SN, Jazarei AA, Fleming ND, Zhang J, Futreal PA, Sood AK. Distinct T cell receptor repertoire diversity of clinically defined high-grade serous ovarian cancer treatment subgroups. iScience 2021; 24:102053. [PMID: 33537658 PMCID: PMC7840469 DOI: 10.1016/j.isci.2021.102053] [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: 09/08/2020] [Revised: 12/15/2020] [Accepted: 01/07/2021] [Indexed: 12/28/2022] Open
Abstract
In patients with high-grade serous ovarian cancer (HGSC), it is unclear which genomic features are related to complete gross resection (R0), which is typically associated with better clinical outcomes, or response to neoadjuvant chemotherapy (NACT). In this study, we evaluated T cell receptor (TCR) repertoire diversity in primary and metastatic tumor samples (n = 90) from clinically well-annotated patients with HGSC who achieved R0 or received NACT with excellent or poor response based on a laparoscopic triage algorithm. TCR sequencing followed by an integrative analysis with comprehensive multi-omics data identified higher TCR diversity (e.g., higher number of unique productive sequences and less clonal relatedness) in the R0 than NACT groups. We found enrichment of specific TCRβ genes usage, distinct mutual exclusiveness and co-occurrence pattern of TCRβ genes among the groups. We also found significantly positive correlations between clonal relatedness and neoantigens, copy number variations, and mutation load in the groups. Higher TCR repertoire diversity in the R0 versus neoadjuvant chemotherapy groups Enrichment of specific TCRβ genes usage was noted among HGSC subgroups Distinct mutual exclusiveness of TCRβ genes was noted among HGSC subgroups Positive correlations between clonal relatedness and copy number variations
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Affiliation(s)
- Sanghoon Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, 1881 East Road, Unit 1908, Houston, TX, USA
| | - Li Zhao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha D Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shannon N Westin
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Unit 1362, 1515 Holcombe Boulevard, Houston, TX, USA
| | - Amir A Jazarei
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Unit 1362, 1515 Holcombe Boulevard, Houston, TX, USA
| | - Nicole D Fleming
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Unit 1362, 1515 Holcombe Boulevard, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anil K Sood
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Unit 1362, 1515 Holcombe Boulevard, Houston, TX, USA
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8
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Marks C, Deane CM. How repertoire data are changing antibody science. J Biol Chem 2020; 295:9823-9837. [PMID: 32409582 DOI: 10.1074/jbc.rev120.010181] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/28/2020] [Indexed: 12/13/2022] Open
Abstract
Antibodies are vital proteins of the immune system that recognize potentially harmful molecules and initiate their removal. Mammals can efficiently create vast numbers of antibodies with different sequences capable of binding to any antigen with high affinity and specificity. Because they can be developed to bind to many disease agents, antibodies can be used as therapeutics. In an organism, after antigen exposure, antibodies specific to that antigen are enriched through clonal selection, expansion, and somatic hypermutation. The antibodies present in an organism therefore report on its immune status, describe its innate ability to deal with harmful substances, and reveal how it has previously responded. Next-generation sequencing technologies are being increasingly used to query the antibody, or B-cell receptor (BCR), sequence repertoire, and the amount of BCR data in public repositories is growing. The Observed Antibody Space database, for example, currently contains over a billion sequences from 68 different studies. Repertoires are available that represent both the naive state (i.e. antigen-inexperienced) and that after immunization. This wealth of data has created opportunities to learn more about our immune system. In this review, we discuss the many ways in which BCR repertoire data have been or could be exploited. We highlight its utility for providing insights into how the naive immune repertoire is generated and how it responds to antigens. We also consider how structural information can be used to enhance these data and may lead to more accurate depictions of the sequence space and to applications in the discovery of new therapeutics.
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Affiliation(s)
- Claire Marks
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Charlotte M Deane
- Department of Statistics, University of Oxford, Oxford, United Kingdom
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