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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

Ultra-sensitive detection of rare T cell clones

TL;DR: A multiplex PCR method to sequence tens of millions of T cell receptors (TCRs) from a single sample in a few days is developed, able to detect even the rarest clones.
Journal ArticleDOI

Quantitative assessment of T cell repertoire recovery after hematopoietic stem cell transplantation

TL;DR: The combined use of 5′ rapid amplification of complementary DNA ends PCR with deep sequencing to quantify TCR diversity in 28 recipients of allo-HSCT using a single oligonucleotide pair provides unprecedented views of T cell repertoire recovery after allo -HSCT and may identify patients at high risk of infection or relapse.
Journal ArticleDOI

Next generation sequencing for tcr repertoire profiling: platform-specific features and correction algorithms

TL;DR: It is demonstrated that advanced correction allows the removal of the majority of artificial TCR diversity with concomitant rescue of most of the sequencing information, and this correction enhances the accuracy of clonotype identification and quantification as well as overall TCR Diversity measurements.
Journal ArticleDOI

High-resolution antibody dynamics of vaccine-induced immune responses

TL;DR: This work describes a set of tools for the analysis of antibody repertoires and their application to elucidating the dynamics of the response to viral vaccination in human volunteers and demonstrates one of the first characterizations of the fast antibody dynamics through time in multiple individuals responding to an immune challenge.
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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