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Liu S, Iorgulescu JB, Li S, Borji M, Barrera-Lopez IA, Shanmugam V, Lyu H, Morriss JW, Garcia ZN, Murray E, Reardon DA, Yoon CH, Braun DA, Livak KJ, Wu CJ, Chen F. Spatial maps of T cell receptors and transcriptomes reveal distinct immune niches and interactions in the adaptive immune response. Immunity 2022; 55:1940-1952.e5. [PMID: 36223726 PMCID: PMC9745674 DOI: 10.1016/j.immuni.2022.09.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 06/21/2022] [Accepted: 08/31/2022] [Indexed: 12/15/2022]
Abstract
T cells mediate antigen-specific immune responses to disease through the specificity and diversity of their clonotypic T cell receptors (TCRs). Determining the spatial distributions of T cell clonotypes in tissues is essential to understanding T cell behavior, but spatial sequencing methods remain unable to profile the TCR repertoire. Here, we developed Slide-TCR-seq, a 10-μm-resolution method, to sequence whole transcriptomes and TCRs within intact tissues. We confirmed the ability of Slide-TCR-seq to map the characteristic locations of T cells and their receptors in mouse spleen. In human lymphoid germinal centers, we identified spatially distinct TCR repertoires. Profiling T cells in renal cell carcinoma and melanoma specimens revealed heterogeneous immune responses: T cell states and infiltration differed intra- and inter-clonally, and adjacent tumor and immune cells exhibited distinct gene expression. Altogether, our method yields insights into the spatial relationships between clonality, neighboring cell types, and gene expression that drive T cell responses.
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Affiliation(s)
- Sophia Liu
- Biophysics Program, Harvard University, Boston, MA 02115, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - J Bryan Iorgulescu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Mehdi Borji
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Vignesh Shanmugam
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Haoxiang Lyu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Julia W Morriss
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Zoe N Garcia
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Evan Murray
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - David A Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Charles H Yoon
- Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David A Braun
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Yale Center of Cellular and Molecular Oncology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Stem Cell Transplantation and Cellular Therapies, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
| | - Fei Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA.
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2
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Gelbard A, Wanjalla C, Wootten CT, Drake WP, Lowery AS, Wheeler DA, Cardenas MF, Sikora AG, Pathak RR, McDonnell W, Mallal S, Pilkinton M. The Proximal Airway Is a Reservoir for Adaptive Immunologic Memory in Idiopathic Subglottic Stenosis. Laryngoscope 2021; 131:610-617. [PMID: 32603507 PMCID: PMC7951501 DOI: 10.1002/lary.28840] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/18/2020] [Accepted: 05/21/2020] [Indexed: 01/20/2023]
Abstract
OBJECTIVES/HYPOTHESIS Characterization of the localized adaptive immune response in the airway scar of patients with idiopathic subglottic stenosis (iSGS). STUDY DESIGN Basic Science. METHODS Utilizing 36 patients with subglottic stenosis (25 idiopathic subglottic stenosis [iSGS], 10 iatrogenic post-intubation stenosis [iLTS], and one granulomatosis with polyangiitis [GPA]) we applied immunohistochemical and immunologic techniques coupled with RNA sequencing. RESULTS iSGS, iLTS, and GPA demonstrate a significant immune infiltrate in the subglottic scar consisting of adaptive cell subsets (T cells along with dendritic cells). Interrogation of T cell subtypes showed significantly more CD69+ CD103+ CD8+ tissue resident memory T cells (TRM ) in the iSGS airway scar than iLTS specimens (iSGS vs. iLTS; 50% vs. 28%, P = .0065). Additionally, subglottic CD8+ clones possessed T-cell receptor (TCR) sequences with known antigen specificity for viral and intracellular pathogens. CONCLUSIONS The human subglottis is significantly enriched for CD8+ tissue resident memory T cells in iSGS, which possess TCR sequences proven to recognize viral and intracellular pathogens. These results inform our understanding of iSGS, provide a direction for future discovery, and demonstrate immunologic function in the human proximal airway. Laryngoscope, 131:610-617, 2021.
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Affiliation(s)
- Alexander Gelbard
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Celestine Wanjalla
- Dept. of Medicine, Division of Infectious Disease, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Christopher T. Wootten
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wonder P. Drake
- Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston Texas
| | - Anne S Lowery
- Dept. of Otolaryngology-Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David A. Wheeler
- Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston Texas
| | - Maria F. Cardenas
- Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston Texas
| | - Andrew G. Sikora
- Bobby R. Alford Dept. of Otolaryngology-Head & Neck Surgery, Baylor College of Medicine, Houston Texas
| | - Ravi R. Pathak
- Bobby R. Alford Dept. of Otolaryngology-Head & Neck Surgery, Baylor College of Medicine, Houston Texas
| | | | - Simon Mallal
- Dept. of Molecular and Human Genetics, Baylor College of Medicine, Houston Texas
| | - Mark Pilkinton
- Dept. of Medicine, Division of Infectious Disease, Vanderbilt University Medical Center, Nashville, Tennessee
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3
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Lee S, Song S, Yoon SS, Koh Y, Yun H. Proper Read Filtering Method to Adequately Analyze Whole-Transcriptome Sequencing and RNA Based Immune Repertoire Sequencing Data for Tumor Milieu Research. Cancers (Basel) 2020; 12:cancers12123693. [PMID: 33317041 PMCID: PMC7763492 DOI: 10.3390/cancers12123693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 12/05/2020] [Accepted: 12/07/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The recent advancement in high-throughput sequencing has become indispensable for immune-genomics and profiling the T- and B-cell receptor repertoires. Immune repertoire sequencing (IR-seq) and whole transcriptome sequencing (WTS) can be implemented to investigate and quantitatively characterize the complex pattern of the CDR3 region. We conducted T-cell diversity analysis result comparisons of these sequencing methods and suggest an intuitive approach to discriminate reliable TCR sequences and clonotype patterns from capturing errors. Although bulk-RNA sequencing is commonly used for cancer analysis, we confirmed capturing highly enriched TCR transcripts with IR-seq is more reliable for accurate immune repertoire discovery, and singleton read filtering criteria should be applied to capture true clonotypes from error-prone sequencing data. The use of such well-established data and analytical methodologies can broaden understanding of antigen specificity in immunity and enabling efficient therapeutic antibody finding. Abstract Analysis of the T-cell receptor (TCR) repertoire is essential to characterize the extensive collections of T-cell populations with recognizing antigens in cancer research, and whole transcriptome sequencing (WTS) and immune repertoire sequencing (IR-seq) are commonly used for this measure. To date, no standard read filtering method for IR measurement has been presented. We assessed the diversity of the TCR repertoire results from the paired WTS and IR-seq data of 31 multiple myeloma (MM) patients. To invent an adequate read filtering strategy for IR analysis, we conducted comparisons with WTS results. First, our analyses for determining an optimal threshold for selecting clonotypes showed that the clonotypes supported by a single read largely affected the shared clonotypes and manifested distinct patterns of mapping qualities, unlike clonotypes with multiple reads. Second, although IR-seq could reflect a wider TCR region with a higher capture rate than WTS, an adequate comparison with the removal of unwanted bias from potential sequencing errors was possible only after applying our read filtering strategy. As a result, we suggest that TCR repertoire analysis be carried out through IR-seq to produce reliable and accurate results, along with the removal of single-read clonotypes, to conduct immune research in cancer using high-throughput sequencing.
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Affiliation(s)
- Sungyoung Lee
- Center for Precision Medicine, Seoul National University Hospital, Seoul 03082, Korea;
| | - Seulki Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Korea; (S.S.); (S.-S.Y.)
| | - Sung-Soo Yoon
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Korea; (S.S.); (S.-S.Y.)
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea
| | - Youngil Koh
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Korea; (S.S.); (S.-S.Y.)
- Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea
- Correspondence: (Y.K.); (H.Y.)
| | - Hongseok Yun
- Center for Precision Medicine, Seoul National University Hospital, Seoul 03082, Korea;
- Correspondence: (Y.K.); (H.Y.)
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4
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Chan HY, Zhang J, Garliss CC, Kwaa AK, Blankson JN, Smith KN. A T Cell Receptor Sequencing-Based Assay Identifies Cross-Reactive Recall CD8 + T Cell Clonotypes Against Autologous HIV-1 Epitope Variants. Front Immunol 2020; 11:591. [PMID: 32318072 PMCID: PMC7154155 DOI: 10.3389/fimmu.2020.00591] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/13/2020] [Indexed: 12/31/2022] Open
Abstract
HIV-1 positive elite controllers or suppressors control viral replication without antiretroviral therapy, likely via CTL-mediated elimination of infected cells, and therefore represent a model of an HIV-1 functional cure. Efforts to cure HIV-1 accordingly rely on the existence or generation of antigen-specific cytotoxic T lymphocytes (CTL) to eradicate infected cells upon reversal of latency. Detecting and quantifying these HIV-1-specific CTL responses will be crucial for developing vaccine and T cell-based immunotherapies. A recently developed assay, called MANAFEST, uses T cell receptor (TCR) Vβ sequencing of peptide-stimulated cultures followed by a bioinformatic pipeline to identify neoantigen-specific T cells in cancer patients. This assay is more sensitive than conventional immune assays and therefore has the possibility to identify HIV-1 antigenic targets that have not been previously explored for vaccine or T cell immunotherapeutic strategies. Here we show that a modified version of the MANAFEST assay, called ViraFEST, can identify memory CD8+ T cell responses against autologous HIV-1 Gag and Nef epitope variants in an elite suppressor. Nine TCR Vβ clonotypes were identified and 6 of these were cross-reactive for autologous variants or known escape variants. Our findings are a proof of principle that the ViraFEST assay can be used to detect and monitor these responses for downstream use in immunotherapeutic treatment approaches.
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Affiliation(s)
- Hok Yee Chan
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Jiajia Zhang
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Caroline C Garliss
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Abena K Kwaa
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Joel N Blankson
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Molecular and Comparative Pathobiology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kellie N Smith
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, United States
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5
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Aliseychik M, Patrikeev A, Gusev F, Grigorenko A, Andreeva T, Biragyn A, Rogaev E. Dissection of the Human T-Cell Receptor γ Gene Repertoire in the Brain and Peripheral Blood Identifies Age- and Alzheimer's Disease-Associated Clonotype Profiles. Front Immunol 2020; 11:12. [PMID: 32117220 PMCID: PMC7025544 DOI: 10.3389/fimmu.2020.00012] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 01/06/2020] [Indexed: 01/08/2023] Open
Abstract
The immune system contributes to neurodegenerative pathologies. However, the roles of γδ T cells in Alzheimer's disease (AD) are poorly understood. Here, we evaluated somatic variability of T-cell receptor γ genes (TRGs) in patients with AD. We performed deep sequencing of the CDR3 region of TRGs in patients with AD and control patients without dementia. TRG clones were clearly detectable in peripheral blood (PB) and non-neuronal cell populations in human brains. TRG repertoire diversity was reduced during aging. Compared with the PB, the brain showed reduced TRGV9 clonotypes but was enriched in TRGV2/4/8 clonotypes. AD-associated TRG profiles were found in both the PB and brain. Moreover, some groups of clonotypes were more specific for the brain or blood in patients with AD compared to those in controls. Our pilot deep analysis of T-cell receptor diversities in AD revealed putative brain and AD-associated immunogenic markers.
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Affiliation(s)
- Maria Aliseychik
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States.,Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Anton Patrikeev
- Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Fedor Gusev
- Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Anastasia Grigorenko
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States.,Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
| | - Tatiana Andreeva
- Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Arya Biragyn
- Immunoregulation Section, National Institute on Aging, Baltimore, MD, United States
| | - Evgeny Rogaev
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States.,Department of Human Genetics and Genomics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.,Center for Genetics and Genetic Technologies, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
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6
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Blanco G, Vardi A, Puiggros A, Gómez-Llonín A, Muro M, Rodríguez-Rivera M, Stalika E, Abella E, Gimeno E, López-Sánchez M, Senín A, Calvo X, Abrisqueta P, Bosch F, Ferrer A, Stamatopoulos K, Espinet B. Restricted T cell receptor repertoire in CLL-like monoclonal B cell lymphocytosis and early stage CLL. Oncoimmunology 2018; 7:e1432328. [PMID: 29872562 DOI: 10.1080/2162402x.2018.1432328] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 01/19/2018] [Accepted: 01/20/2018] [Indexed: 01/16/2023] Open
Abstract
Analysis of the T cell receptor (TR) repertoire of chronic lymphocytic leukemia-like monoclonal B cell lymphocytosis (CLL-like MBL) and early stage CLL is relevant for understanding the dynamic interaction of expanded B cell clones with bystander T cells. Here we profiled the T cell receptor β chain (TRB) repertoire of the CD4+ and CD8+ T cell fractions from 16 CLL-like MBL and 13 untreated, Binet stage A/Rai stage 0 CLL patients using subcloning analysis followed by Sanger sequencing. The T cell subpopulations of both MBL and early stage CLL harbored restricted TRB gene repertoire, with CD4+ T cell clonal expansions whose frequency followed the numerical increase of clonal B cells. Longitudinal analysis in MBL cases revealed clonal persistence, alluding to persistent antigen stimulation. In addition, the identification of shared clonotypes among different MBL/early stage CLL cases pointed towards selection of the T cell clones by common antigenic elements. T cell clonotypes previously described in viral infections and immune disorders were also detected. Altogether, our findings evidence that antigen-mediated TR restriction occurs early in clonal evolution leading to CLL and may further increase together with B cell clonal expansion, possibly suggesting that the T cell selecting antigens are tumor-related.
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Affiliation(s)
- Gonzalo Blanco
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Anna Vardi
- Institute of Applied Biosciences, CERTH, Thessaloniki, Greece
| | - Anna Puiggros
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
| | - Andrea Gómez-Llonín
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
| | - Manuel Muro
- Immunology Service, University Clinical Hospital Virgen de la Arrixaca-Biomedical Research Institute of Murcia (IMIB), Murcia, Spain
| | - María Rodríguez-Rivera
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
| | | | - Eugenia Abella
- Servei d'Hematologia, Hospital del Mar-IMIM, Barcelona, Spain
| | - Eva Gimeno
- Servei d'Hematologia, Hospital del Mar-IMIM, Barcelona, Spain
| | - Manuela López-Sánchez
- Immunology Service, University Clinical Hospital Virgen de la Arrixaca-Biomedical Research Institute of Murcia (IMIB), Murcia, Spain
| | - Alicia Senín
- Servei d'Hematologia, Hospital del Mar-IMIM, Barcelona, Spain
| | - Xavier Calvo
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
| | - Pau Abrisqueta
- Servei d'Hematologia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Francesc Bosch
- Servei d'Hematologia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Ana Ferrer
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
| | | | - Blanca Espinet
- Laboratori de Citogenètica Molecular, Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar, Barcelona, Spain.,Grup de Recerca Translacional en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, Barcelona, Spain
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7
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Khavrutskii IV, Chaudhury S, Stronsky SM, Lee DW, Benko JG, Wallqvist A, Bavari S, Cooper CL. Quantitative Analysis of Repertoire-Scale Immunoglobulin Properties in Vaccine-Induced B-Cell Responses. Front Immunol 2017; 8:910. [PMID: 28855898 PMCID: PMC5557726 DOI: 10.3389/fimmu.2017.00910] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 07/17/2017] [Indexed: 12/15/2022] Open
Abstract
Recent advances in the next-generation sequencing of B-cell receptors (BCRs) enable the characterization of humoral responses at a repertoire-wide scale and provide the capability for identifying unique features of immune repertoires in response to disease, vaccination, or infection. Immunosequencing now readily generates 103–105 sequences per sample; however, statistical analysis of these repertoires is challenging because of the high genetic diversity of BCRs and the elaborate clonal relationships among them. To date, most immunosequencing analyses have focused on reporting qualitative trends in immunoglobulin (Ig) properties, such as usage or somatic hypermutation (SHM) percentage of the Ig heavy chain variable (IGHV) gene segment family, and on reducing complex Ig property distributions to simple summary statistics. However, because Ig properties are typically not normally distributed, any approach that fails to assess the distribution as a whole may be inadequate in (1) properly assessing the statistical significance of repertoire differences, (2) identifying how two repertoires differ, and (3) determining appropriate confidence intervals for assessing the size of the differences and their potential biological relevance. To address these issues, we have developed a technique that uses Wilcox’ robust statistics toolbox to identify statistically significant vaccine-specific differences between Ig repertoire properties. The advantage of this technique is that it can determine not only whether but also where the distributions differ, even when the Ig repertoire properties are non-normally distributed. We used this technique to characterize murine germinal center (GC) B-cell repertoires in response to a complex Ebola virus-like particle (eVLP) vaccine candidate with known protective efficacy. The eVLP-mediated GC B-cell responses were highly diverse, consisting of thousands of clonotypes. Despite this staggering diversity, we identified statistically significant differences between non-immunized, vaccine only, and vaccine-plus-adjuvant groups in terms of Ig properties, including IGHV-family usage, SHM percentage, and characteristics of the BCR complementarity-determining region. Most notably, our analyses identified a robust eVLP-specific feature—enhanced IGHV8-family usage in B-cell repertoires. These findings demonstrate the utility of our technique in identifying statistically significant BCR repertoire differences following vaccination. More generally, our approach is potentially applicable to a wide range of studies in infection, vaccination, auto-immunity, and cancer.
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Affiliation(s)
- Ilja V Khavrutskii
- Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, United States
| | - Sidhartha Chaudhury
- Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, United States
| | - Sabrina M Stronsky
- Molecular and Translational Sciences, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, MD, United States
| | - Donald W Lee
- Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, United States
| | - Jacqueline G Benko
- Molecular and Translational Sciences, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, MD, United States
| | - Anders Wallqvist
- Department of Defense Biotechnology High Performance Computing Software Applications Institute (BHSAI), Telemedicine and Advanced Technology Research Center, United States Army Medical Research and Materiel Command, Fort Detrick, MD, United States
| | - Sina Bavari
- Molecular and Translational Sciences, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, MD, United States
| | - Christopher L Cooper
- Molecular and Translational Sciences, United States Army Medical Research Institute of Infectious Diseases (USAMRIID), Fort Detrick, MD, United States
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8
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Flerin NC, Chen H, Glover TD, Lamothe PA, Zheng JH, Fang JW, Ndhlovu ZM, Newell EW, Davis MM, Walker BD, Goldstein H. T-Cell Receptor (TCR) Clonotype-Specific Differences in Inhibitory Activity of HIV-1 Cytotoxic T-Cell Clones Is Not Mediated by TCR Alone. J Virol 2017; 91:e02412-16. [PMID: 28077649 DOI: 10.1128/JVI.02412-16] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 12/27/2016] [Indexed: 01/11/2023] Open
Abstract
Functional analysis of T-cell responses in HIV-infected individuals has indicated that virus-specific CD8+ T cells with superior antiviral efficacy are well represented in HIV-1 controllers but are rare or absent in HIV-1 progressors. To define the role of individual T-cell receptor (TCR) clonotypes in differential antiviral CD8+ T-cell function, we performed detailed functional and mass cytometric cluster analysis of multiple CD8+ T-cell clones recognizing the identical HLA-B*2705-restricted HIV-1 epitope KK10 (KRWIILGLNK). Effective and ineffective CD8+ T-cell clones segregated based on responses to HIV-1-infected and peptide-loaded target cells. Following cognate peptide stimulation, effective HIV-specific clones displayed significantly more rapid TCR signal propagation, more efficient initial lytic granule release, and more sustained nonlytic cytokine and chemokine secretion than ineffective clones. To evaluate the TCR clonotype contribution to CD8+ T-cell function, we cloned the TCR α and β chain genes from one effective and two ineffective CD8+ T-cell clones from an elite controller into TCR-expressing lentivectors. We show that Jurkat/MA cells and primary CD8+ T cells transduced with lentivirus expressing TCR from one of the ineffective clones exhibited a level of activation by cognate peptide and inhibition of in vitro HIV-1 infection, respectively, that were comparable to those of the effective clonotype. Taken together, these data suggest that the potent antiviral capacity of some HIV-specific CD8+ T cells is a consequence of factors in addition to TCR sequence that modulate functionality and contribute to the increased antiviral capacity of HIV-specific CD8+ T cells in elite controllers to inhibit HIV infection.IMPORTANCE The greater ex vivo antiviral inhibitory activity of CD8+ T cells from elite controllers than from HIV-1 progressors supports the crucial role of effective HIV-specific CD8+ T cells in controlling HIV-1 replication. The contribution of TCR clonotype to inhibitory potency was investigated by delineating the responsiveness of effective and ineffective CD8+ T-cell clones recognizing the identical HLA-B*2705-restricted HIV-1 Gag-derived peptide, KK10 (KRWIILGLNK). KK10-stimulated "effective" CD8+ T-cell clones displayed significantly more rapid TCR signal propagation, more efficient initial lytic granule release, and more sustained cytokine and chemokine secretion than "ineffective" CD8+ T-cell clones. However, TCRs cloned from an effective and one of two ineffective clones conferred upon primary CD8+ T cells the equivalent potent capacity to inhibit HIV-1 infection. Taken together, these data suggest that other factors aside from intrinsic TCR-peptide-major histocompatibility complex (TCR-peptide-MHC) reactivity can contribute to the potent antiviral capacity of some HIV-specific CD8+ T-cell clones.
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Abstract
Natural immunoglobulin derived from innate-like B lymphocytes plays important roles in the suppression of inflammatory responses and represents a promising therapeutic target in a growing number of allergic and autoimmune diseases. These antibodies are commonly autoreactive and incorporate evolutionarily conserved specificities, including certain glycan-specific antibodies. Despite this conservation, exposure to bacterial polysaccharides during innate-like B lymphocyte development, through either natural exposure or immunization, induces significant changes in clonal representation within the glycan-reactive B cell pool. Glycan-reactive natural antibodies (NAbs) have been reported to play protective and pathogenic roles in autoimmune and inflammatory diseases. An understanding of the composition and functions of a healthy glycan-reactive NAb repertoire is therefore paramount. A more thorough understanding of NAb repertoire development holds promise for the design of both biological diagnostics and therapies. In this article, we review the development and functions of NAbs and examine three glycan specificities, represented in the innate-like B cell pool, to illustrate the complex roles environmental antigens play in NAb repertoire development. We also discuss the implications of increased clonal plasticity of the innate-like B cell repertoire during neonatal and perinatal periods, and the prospect of targeting B cell development with interventional therapies and correct defects in this important arm of the adaptive immune system.
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Affiliation(s)
- J Stewart New
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - R Glenn King
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John F Kearney
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, USA
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10
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Abstract
Clones are the fundamental building blocks of immune repertoires. The number of different clones relates to the diversity of the repertoire, whereas their size and sequence diversity are linked to selective pressures. Selective pressures act both between clones and within different sequence variants of a clone. Understanding how clonal selection shapes the immune repertoire is one of the most basic questions in all of immunology. But how are individual clones defined? Here we discuss different approaches for defining clones, starting with how antibodies are diversified during different stages of B cell development. Next, we discuss how clones are defined using different experimental methods. We focus on high-throughput sequencing datasets, and the computational challenges and opportunities that these data have for mining the antibody repertoire landscape. We discuss methods that visualize sequence variants within the same clone and allow us to consider collections of shared mutations to determine which sequences share a common ancestry. Finally, we comment on features of frequently encountered expanded B cell clones that may be of particular interest in the setting of autoimmunity and other chronic conditions.
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Affiliation(s)
- Uri Hershberg
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Bossone 7-711, 3141 Chestnut Street, Philadelphia, PA 19104, USA Department of Immunology and Microbiology, College of Medicine, Drexel University, Bossone 7-711, 3141 Chestnut Street, Philadelphia, PA 19104, USA
| | - Eline T Luning Prak
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, 405B Stellar Chance Labs, 422 Curie Boulevard, Philadelphia, PA 19104, USA
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11
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Tamura K, Hazama S, Yamaguchi R, Imoto S, Takenouchi H, Inoue Y, Kanekiyo S, Shindo Y, Miyano S, Nakamura Y, Kiyotani K. Characterization of the T cell repertoire by deep T cell receptor sequencing in tissues and blood from patients with advanced colorectal cancer. Oncol Lett 2016; 11:3643-3649. [PMID: 27284367 PMCID: PMC4887943 DOI: 10.3892/ol.2016.4465] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 01/21/2016] [Indexed: 01/22/2023] Open
Abstract
The aim of the present study was to characterize infiltrated T cell clones that define the tumor immune environment and are important in the response to treatment in patients with advanced colorectal cancer (CRC). In order to explore predictive biomarkers for the efficacy of immunochemotherapies, T cell receptor (TCR) repertoire analysis was performed using blood samples and tumor tissues obtained from patients with advanced CRC that had been treated with a combination of five-cancer peptide vaccines and oxaliplatin-based chemotherapy. The TCR-α/β complementary DNAs (cDNAs), prepared from the messenger RNAs (mRNAs) obtained from 17 tumor tissues and 39 peripheral blood mononuclear cells of 9 CRC patients at various time points, were sequenced. The oligoclonal enrichment of certain TCR sequences was identified in tumor tissues and blood samples; however, only a few TCR sequences with a frequency of >0.1% were commonly detected in pre- and post-treatment tumor tissues, or in post-treatment blood and tissue samples. The average correlation coefficients of the TCR-α and TCR-β clonotype frequencies between the post-treatment tumor tissues and blood samples were 0.023 and 0.035, respectively, and were much lower compared with the correlation coefficients of the TCR-α and TCR-β clonotype frequencies between pre- and post-treatment blood samples (0.430 and 0.370, respectively), suggesting that T cell populations in tumor tissues vary from those in blood. Although the sample size was small, a tendency for the TCR diversity in tumor tissues to drastically decrease during the treatment was indicated in two patients, who exhibited a longer progression-free survival time. The results of the present study suggest that TCR diversity scores in tissues may be a useful predictive biomarker for the therapeutic effect of immunochemotherapy for patients with advanced CRC.
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Affiliation(s)
- Kenji Tamura
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Shoichi Hazama
- Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Rui Yamaguchi
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Seiya Imoto
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Hiroko Takenouchi
- Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Yuka Inoue
- Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Shinsuke Kanekiyo
- Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Yoshitaro Shindo
- Department of Digestive Surgery and Surgical Oncology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan
| | - Satoru Miyano
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Yusuke Nakamura
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Kazuma Kiyotani
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
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