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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

Transcriptional programming and T cell receptor repertoires distinguish human lung and lymph node memory T cells

TL;DR: This study suggests that memory T cell subsets from the lung and LDLN are derived from distinct progenitor pools, including higher expression of an array of innate immune receptors in lung T cells which were validated by flow cytometry.
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T-cell epitope discovery technologies.

TL;DR: In this review, the development of various discovery strategies, the technical platforms used to carry them out, and the level of success achieved in the field today are traced.
Journal ArticleDOI

Expanded TCRβ CDR3 clonotypes distinguish Crohn’s disease and ulcerative colitis patients

TL;DR: The data suggest that flagellin-reactivity contributes to the expansion of a small number of CD4 clonotypes but does not support flageLLin antigens as predominantly driving CD4 cell proliferation in CD.
Journal ArticleDOI

How Naive T-Cell Clone Counts Are Shaped By Heterogeneous Thymic Output and Homeostatic Proliferation

TL;DR: This work describes the heterogeneous steady-state population of naive T cells (those that have not yet been antigenically triggered) by using a mean-field model of a regulated birth-death-immigration process and investigates how TCR-dependent heterogeneities in immigration and proliferation rates affect the shape of clone abundance distributions.
Journal ArticleDOI

T cell receptor β-chain repertoire analysis of tumor-infiltrating lymphocytes in pancreatic cancer.

TL;DR: It is speculated that the cellular adaptive immune response in pancreatic cancer was spatially homogeneous; this may pave the way for immunotherapy for the treatment of Pancreatic cancer patients.
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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