scholarly journals An ultrasensitive T-cell receptor detection method for TCR-Seq and RNA-Seq data

2019 ◽  
Author(s):  
Si-Yi Chen ◽  
Qiong Zhang ◽  
Chun-Jie Liu ◽  
An-Yuan Guo

AbstractT-cell receptors (TCRs) recognizing antigens play vital roles in T-cell immunology. Surveying TCR repertoires by characterizing complementarity-determining region 3 (CDR3) can provide valuable insights into the immune community underlying pathologic conditions, which will benefit neoantigen discovery and cancer immunotherapy. Here we present a novel tool named CATT, which can apply on TCR sequencing (TCR-Seq), RNA-Seq, and single-cell TCR(RNA)-Seq data to characterize CDR3 repertoires. CATT integrated maximum-network-flow based micro-assembly algorithm, data-driven error correction model, and Bayes classification algorithm, to self-adaptively and ultra-sensitively characterize CDR3 repertoires with high accuracy. Benchmark results of datasets from in silico and real conditions demonstrated that CATT showed superior recall and precision compared with other prevalent tools, especially for datasets with short read length and small data size. By applying CATT on a TCR-Seq dataset from aplastic anemia patients, we found the skewing of TCR repertoire was due to the oligoclonal expansion of effector memory T-cells. CATT will be a powerful tool for researchers conducting TCR and immune repertoire studies. CATT is freely available at http://bioinfo.life.hust.edu.cn/CATT.

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1451-1451
Author(s):  
Chao Wang ◽  
Qiang Gong ◽  
Weiwei Zhang ◽  
Javeed Iqbal ◽  
Yang Hu ◽  
...  

Abstract Introduction: Diversity of the T-cell receptor (TCR) repertoire reflects the initial V(D)J recombination events as shaped by selection by self and foreign antigens. Next generation sequencing is a powerful method for profiling the TCR repertoire, including sequences encoding complementarity-determining region 3 (CDR3). Peripheral T-cell lymphoma (PTCL) is a group of malignancies that originate from mature T-cells. T-cell clonality of PTCL is routinely evaluated with a PCR-based method to detect TCR gamma and less frequently beta chain rearrangements using genomic DNA. However, there are limitations with this approach, chief among which is the lack of sequence information. To date, the TCR repertoire of different subtypes of PTCL remains poorly defined. Objective: The purpose of this study was to determine the utility of RNA-seq for assessing T-cell clonality and analyzing the TCR usage in PTCL samples. Methods: We analyzed RNA-seq data from 30 angioimmunoblastic T-cell lymphoma (AITL), 23 Anaplastic large cell lymphoma (ALCL), 10 PTCL-NOS, and 17 NKCL. Data from naïve T cells, TFH cells, and T-effector cells (CD4+ CD45RA− TCRβ+ PD-1lo CXCR5lo PSGL-1hi) were obtained from publicly available resources. Referenced TCR and immunoglobulin transcripts according to the International ImMunoGeneTics Information System (IMGT) database were quantified by Kallisto software. We divided the pattern of Vβ (T-cell receptor beta variable region) into three categories: monoclonal (mono- or bi-allelic), oligoclonal (3-4 dominant clones), and polyclonal. CDR3 sequences were extracted by MiXCR program. PCR of the gamma chain using genomic DNA was utilized to validate the clonality of selected cases. Single nucleotide variants (SNVs) were called from aligned RNA-seq data using Samtools and VarScan 2 programs. Results: Analysis of RNA-seq data identified preferential usage of TCR-Vβ, Dβ (diversity region), and Jβ (joining region), length diversity of CDR3, and usage of nontemplated bases. Dominant clones could be identified by transcriptome sequencing in most cases of AITL (21/30), ALCL (14/23), and PTCL-NOS (7/10). Median CDR3 length is 42 nucleotides (nt) in normal T cells, 41 nt in ALCL, 48 nt in PTCL-NOS, and 44 nt in AITL. In 30 AITL samples, 20 showed monoclonal Vβ with a single peak, and 9 showed polyclonal Vβ. One case had two dominant clones with different CDR3, only one of which was in frame, implying biallelic rearrangements. As many as 3511 clones supported by at least four reads could be detected in polyclonal cases. In monoclonal cases, the dominant clone varied between 11.8% and 92.8% of TCR with Vβ rearrangements. TRBV 20-1, which is the most commonly used segment in normal T cells, is also frequently used in the dominant clones in AITL. The monoclonal AITL cases showed mutation of TET2, RHOA, DNMT3A or IDH2 whereas most of the polyclonal cases were negative or had low VAF mutation suggesting low or absent of tumor infiltrate in the specimen sequenced. There is no obvious correlation of any of the mutations with Vβ usage. Clonal B cell expansion was noted in some AITL samples. The occurrence of a preferential TRBV9 expansion in PTCL-NOS was striking. More than half of ALCL samples (14/23) showed expression of clonal Vβ, but 3/14 dominant clones were out-of-frame. γ chain expression was very low in cells expressing TCRαβ, but both expression levels and clonality were higher in TCRγδ expressing tumors. NKCL did not express significant levels of TCR Vβ or Vγ genes. Discussion/Interpretation: Transcriptome sequencing is a useful tool for understanding the TCR repertoire in T cell lymphoma and for detecting clonality for diagnosis. Clonal, often out-of-frame, Vβ transcripts are detectable in most ALCL cases and preferential TRBV9 usage is found in PTCL-NOS. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Vol 49 (D1) ◽  
pp. D468-D474 ◽  
Author(s):  
Si-Yi Chen ◽  
Tao Yue ◽  
Qian Lei ◽  
An-Yuan Guo

Abstract T cells and the T-cell receptor (TCR) repertoire play pivotal roles in immune response and immunotherapy. TCR sequencing (TCR-Seq) technology has enabled accurate profiling TCR repertoire and currently a large number of TCR-Seq data are available in public. Based on the urgent need to effectively re-use these data, we developed TCRdb, a comprehensive human TCR sequences database, by a uniform pipeline to characterize TCR sequences on TCR-Seq data. TCRdb contains more than 277 million highly reliable TCR sequences from over 8265 TCR-Seq samples across hundreds of tissues/clinical conditions/cell types. The unique features of TCRdb include: (i) comprehensive and reliable sequences for TCR repertoire in different samples generated by a strict and uniform pipeline of TCRdb; (ii) powerful search function, allowing users to identify their interested TCR sequences in different conditions; (iii) categorized sample metadata, enabling comparison of TCRs in different sample types; (iv) interactive data visualization charts, describing the TCR repertoire in TCR diversity, length distribution and V-J gene utilization. The TCRdb database is freely available at http://bioinfo.life.hust.edu.cn/TCRdb/ and will be a useful resource in the research and application community of T cell immunology.


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258029
Author(s):  
Ying Yao ◽  
Łukasz Wyrozżemski ◽  
Knut E. A. Lundin ◽  
Geir Kjetil Sandve ◽  
Shuo-Wang Qiao

Gluten-specific CD4+ T cells drive the pathogenesis of celiac disease and circulating gluten-specific T cells can be identified by staining with HLA-DQ:gluten tetramers. In this first single-cell RNA-seq study of tetramer-sorted T cells from untreated celiac disease patients blood, we found that gluten-specific T cells showed distinct transcriptomic profiles consistent with activated effector memory T cells that shared features with Th1 and follicular helper T cells. Compared to non-specific cells, gluten-specific T cells showed differential expression of several genes involved in T-cell receptor signaling, translational processes, apoptosis, fatty acid transport, and redox potentials. Many of the gluten-specific T cells studied shared T-cell receptor with each other, indicating that circulating gluten-specific T cells belong to a limited number of clones. Moreover, the transcriptional profiles of cells that shared the same clonal origin were transcriptionally more similar compared with between clonally unrelated gluten-specific cells.


2020 ◽  
Vol 36 (15) ◽  
pp. 4255-4262
Author(s):  
Si-Yi Chen ◽  
Chun-Jie Liu ◽  
Qiong Zhang ◽  
An-Yuan Guo

Abstract Motivation T-cell receptors (TCRs) function to recognize antigens and play vital roles in T-cell immunology. Surveying TCR repertoires by characterizing complementarity-determining region 3 (CDR3) is a key issue. Due to the high diversity of CDR3 and technological limitation, accurate characterization of CDR3 repertoires remains a great challenge. Results We propose a computational method named CATT for ultra-sensitive and precise TCR CDR3 sequences detection. CATT can be applied on TCR sequencing, RNA-Seq and single-cell TCR(RNA)-Seq data to characterize CDR3 repertoires. CATT integrated de Bruijn graph-based micro-assembly algorithm, data-driven error correction model and Bayesian inference algorithm, to self-adaptively and ultra-sensitively characterize CDR3 repertoires with high performance. Benchmark results of datasets from in silico and experimental data demonstrated that CATT showed superior recall and precision compared with existing tools, especially for data with short read length and small size and single-cell sequencing data. Thus, CATT will be a useful tool for TCR analysis in researches of cancer and immunology. Availability and implementation http://bioinfo.life.hust.edu.cn/CATT or https://github.com/GuoBioinfoLab/CATT. Supplementary information Supplementary data are available at Bioinformatics online.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 851-851
Author(s):  
JianXiang Zou ◽  
Edna Ku ◽  
Fanqi Bai ◽  
Jeffrey S. Painter ◽  
Alan F. List ◽  
...  

Abstract Background: Myelodysplastic Syndromes (MDS) are a diverse group of myeloid malignancies that occur primarily in older individuals. Several distinct immunologic abnormalities have been described in MDS, including concurrent autoimmune diseases, inversion of CD4+ and CD8+ cell populations, and expansion hematopoietic inhibitory) CD8+ T cell clones. Suppression of hematopoiesis by T cells has been implicated in the pathogenesis of ineffective hematopoiesis in a select subpopulation of patients with response to immunosuppressive therapy. Immunologic abnormalities in MDS patients may relate to the process of immunologic aging associated with functional deterioration. Lenalidomide (CC5013, Revlimid®, Celgene Inc) is a member of a proprietary drug class known as immunomodulatory drugs (IMiDs) with strong and sustained hematological activity in MDS patients. The goal of this study was to investigate the in vitro and in vivo actions of lenalidomide on T cell immune functions and homeostasis in MDS patients. Methods: Using peripheral blood mononuclear cells (PBMCs), we analyzed T cell subpopulations and function in 11 MDS patients and 12 controls of similar age. Naïve and memory CD4 and CD8 T cell sub-populations were segregated by expression of CD45RA and CD62L expression by flow cytometry. After antigen activation with anti-CD3-cross-linking and allogeneic dendritic cells (allo-DCs), T cell proliferation was assessed by Brdu incorporation in CD4+ and CD8+ T cells, and intracellular cytokines determined by flow cytometry. T cell receptor (TCR) repertoire skewing was determined by CDR3-length analysis on 53 patients. In vivo action of lenalidomide was evaluated in PBMCs from seven patients (4 erythroid complete responders and 3 non-responders) taken pre- and post-treatment. Results: Patients with MDS had reduced T cell proliferation and impaired Th1 cytokine response after antigen stimulation compared to age-matched controls. No correlation was found between patient age and percentage of proliferating antigen-induced CD4− or CD8− T cells (r=0.13, p=0.6 and r=−0.17, p=0.5, respectively). Phenotype analysis showed that the percentage of CD4+ and CD8+/CD45RA+/CD62L+−naïve T cells were significantly reduced, whereas, CD4+ and CD8+/CD45RA−/CD62L−double-negative effector memory cells were significantly increased in MDS patients. Furthermore, 50% of MDS patients displayed a skewed T cell receptor repertoire that was not age-dependent. Of the MDS patients treated with lenalidomide, the four responders displayed a significant increase in antigen-induced T cell proliferation and increased Th1-type cytokine secretion, whereas no changes were observed in non-responders. Moreover, CD4+ (P=0.001) and CD8+ (P=0.06) T cells with a naïve phenotype increased accompanied by augmentation in the percentage of CD8+ central memory T cells (P=0.02); whereas, the percentage of CD4+ effector memory cells decreased (p=0.001) in lenalidomide responders but not in non-responders. Conclusions: These data suggest that MDS patients possess multiple T cell defects including age-independent TCR repertoire skewing, reduction in naïve T cells, and accumulation of effector memory cells that are improved by lenalidomide. Our findings suggest hematopoietic response to lenalidomide may relate to a novel capacity to restore T cell homeostasis.


2021 ◽  
Vol 7 (12) ◽  
pp. eabe0013
Author(s):  
Axel Patrice Villani ◽  
Aurore Rozieres ◽  
Benoît Bensaid ◽  
Klara Kristin Eriksson ◽  
Amandine Mosnier ◽  
...  

Toxic epidermal necrolysis (TEN) is a life-threatening cutaneous adverse drug reaction. To better understand why skin symptoms are so severe, we conducted a prospective immunophenotyping study on skin and blood. Mass cytometry results confirmed that effector memory polycytotoxic CD8+ T cells (CTLs) are the main leucocytes in TEN blisters at the acute phase. Deep T cell receptor (TCR) repertoire sequencing identified massive expansion of unique CDR3 clonotypes in blister cells. The same clones were highly expanded in patient’s blood, and the degree of their expansion showed significant correlation with disease severity. By transducing α and β chains of the expanded clonotypes into a TCR-defective cell line, we confirmed that those cells were drug specific. Collectively, these results suggest that the relative clonal expansion and phenotype of skin-recruited CTLs condition the clinical presentation of cutaneous adverse drug reactions.


2017 ◽  
Vol 214 (11) ◽  
pp. 3417-3433 ◽  
Author(s):  
Xiaojing Chen ◽  
Lucia Poncette ◽  
Thomas Blankenstein

For thymic selection and responses to pathogens, T cells interact through their αβ T cell receptor (TCR) with peptide–major histocompatibility complex (MHC) molecules on antigen-presenting cells. How the diverse TCRs interact with a multitude of MHC molecules is unresolved. It is also unclear how humans generate larger TCR repertoires than mice do. We compared the TCR repertoire of CD4 T cells selected from a single mouse or human MHC class II (MHC II) in mice containing the human TCR gene loci. Human MHC II yielded greater thymic output and a more diverse TCR repertoire. The complementarity determining region 3 (CDR3) length adjusted for different inherent V-segment affinities to MHC II. Humans evolved with greater nontemplate-encoded CDR3 diversity than did mice. Our data, which demonstrate human TCR–MHC coevolution after divergence from rodents, explain the greater T cell diversity in humans and suggest a mechanism for ensuring that any V–J gene combination can be selected by a single MHC II.


2021 ◽  
Author(s):  
Jianhua Xu ◽  
Yaling Shi ◽  
Yongsi Wang ◽  
Yuntao Liu ◽  
Dongzi Lin ◽  
...  

AbstractBackgroundThe prevention of COVID-19 pandemic is highly complicated by the prevalence of asymptomatic and recurrent infection. Many previous immunological studies have focused on symptomatic and convalescent patients, while the immune responses in asymptomatic patients and re-detectable positive cases remain unclear.MethodsHere we comprehensively analyzed the peripheral T-cell receptor (TCR) repertoire of 54 COVID-19 patients in different phases, including asymptomatic, symptomatic, convalescent and re-detectable positive cases.ResultsWe found progressed immune responses from asymptomatic to symptomatic phase. Furthermore, the TCR profiles of re-detectable positive cases were highly similar to those of asymptomatic patients, which could predict the risk of recurrent infection.ConclusionTherefore, TCR repertoire surveillance has the potential to strengthen the clinical management and the immunotherapy development for COVID-19.FundingThe Science and Technology Innovation Project of Foshan Municipality (2020001000431) and the National Key Research and Development Project (2020YFA0708001).


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