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Open AccessJournal ArticleDOI

Exhaustive T-cell repertoire sequencing of human peripheral blood samples reveals signatures of antigen selection and a directly measured repertoire size of at least 1 million clonotypes

TLDR
It is shown that the sensitivity of sequence-based repertoire profiling is limited by both sequencing depth and sequencing accuracy, and a new, directly measured, lower limit on individual T-cell repertoire size is established.
Abstract
Massively parallel sequencing is a useful approach for characterizing T-cell receptor diversity. However, immune receptors are extraordinarily difficult sequencing targets because any given receptor variant may be present in very low abundance and may differ legitimately by only a single nucleotide. We show that the sensitivity of sequence-based repertoire profiling is limited by both sequencing depth and sequencing accuracy. At two timepoints, 1 wk apart, we isolated bulk PBMC plus naive (CD45RA+/CD45RO-) and memory (CD45RA-/CD45RO+) T-cell subsets from a healthy donor. From T-cell receptor beta chain (TCRB) mRNA we constructed and sequenced multiple libraries to obtain a total of 1.7 billion paired sequence reads. The sequencing error rate was determined empirically and used to inform a high stringency data filtering procedure. The error filtered data yielded 1,061,522 distinct TCRB nucleotide sequences from this subject which establishes a new, directly measured, lower limit on individual T-cell repertoire size and provides a useful reference set of sequences for repertoire analysis. TCRB nucleotide sequences obtained from two additional donors were compared to those from the first donor and revealed limited sharing (up to 1.1%) of nucleotide sequences among donors, but substantially higher sharing (up to 14.2%) of inferred amino acid sequences. For each donor, shared amino acid sequences were encoded by a much larger diversity of nucleotide sequences than were unshared amino acid sequences. We also observed a highly statistically significant association between numbers of shared sequences and shared HLA class I alleles.

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Journal ArticleDOI

Characterization of Distinct T Cell Receptor Repertoires in Tumor and Distant Non-tumor Tissues from Lung Cancer Patients.

TL;DR: A comprehensive comparison of the TCR repertoires between cancer tissues and matched normal lung tissues is provided and the presence of distinct T cell immune microenvironments in lung cancer patients is demonstrated.
Journal ArticleDOI

Applications of systems biology in cancer immunotherapy: from target discovery to biomarkers of clinical outcome

TL;DR: In this article, the authors illustrate the contributions of systems biology towards the development and mechanistic understanding of cancer immunotherapies through some recently reported studies, such as DNA and protein microarrays, deep sequencing, mass spectrometry, as well as the computational methods for their analyses.
Journal ArticleDOI

Temporal Expression of Bim Limits the Development of Agonist-Selected Thymocytes and Skews Their TCRβ Repertoire

TL;DR: It is found that T cell–specific expression of Bim during early/cortical, but not late/medullary, thymic development controls the agonist selection of CD8αα precursors and their TCRβ repertoire and limits their private TCR β repertoire.
Journal ArticleDOI

Describing the diversity of Ag specific receptors in vertebrates: Contribution of repertoire deep sequencing.

TL;DR: This review provides a short overview of the technologies currently used to produce global description of immune repertoires, describe how they have already been used in comparative immunology, and discusses the future potential of such approaches.
Journal ArticleDOI

Tools for fundamental analysis functions of TCR repertoires: a systematic comparison.

TL;DR: A systematic analysis of 12 available TCR repertoire analysis tools using simulated data, with an emphasis on fundamental analysis functions, sheds light on the detailed functions of TCR functionality analysis tools and may help researchers in the field to choose the right tools for their particular experimental design.
References
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Journal ArticleDOI

Clustal W and Clustal X version 2.0

TL;DR: The Clustal W and ClUSTal X multiple sequence alignment programs have been completely rewritten in C++ to facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems.
Journal ArticleDOI

Base-calling of automated sequencer traces using Phred. I. accuracy assessment

TL;DR: In this article, a base-calling program for automated sequencer traces, phred, with improved accuracy was proposed. But it was not shown to achieve a lower error rate than the ABI software, averaging 40%-50% fewer errors in the data sets examined independent of position in read, machine running conditions, or sequencing chemistry.
Journal ArticleDOI

Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities

TL;DR: The ability to estimate a probability of error for each base-call, as a function of certain parameters computed from the trace data, is developed and implemented in the base-calling program.
Journal ArticleDOI

T-cell antigen receptor genes and T-cell recognition.

TL;DR: This view of T-cell recognition has implications for how the receptors might be selected in the thymus and how they (and immunoglobulins) may have arisen during evolution.
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