MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Quantifiable predictive features define epitope-specific T cell receptor repertoires

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Quantifiable predictive features define epitope-specific T cell receptor repertoires
Journal Article

Quantifiable predictive features define epitope-specific T cell receptor repertoires

2017
Request Book From Autostore and Choose the Collection Method
Overview
The authors characterize epitope-specific T cell repertoires, identify shared and recognizable features of TCRs, and develop tools to classify antigen specificity on the basis of sequence analysis. Defining T cell receptor repertoires In this study, Paul Thomas and colleagues use molecular genetic tools to analyse the diversity of epitope-specific T cell repertoires to characterize features that enable the prediction of T cell epitope specificity immunity based on sequence analysis. This manuscript is of broad interest to various fields ranging from basic immunology to applied immunotherapeutics and translational medicine. Elsewhere in this issue, Mark Davis and colleagues address the question of how T cell receptor sequences relate to antigen specificity and create an algorithm that predicts the human leukocyte antigen (HLA) restriction of the T cell receptor targets and helps to identify specific peptide major histocompatibility complex ligands. T cells are defined by a heterodimeric surface receptor, the T cell receptor (TCR), that mediates recognition of pathogen-associated epitopes through interactions with peptide and major histocompatibility complexes (pMHCs). TCRs are generated by genomic rearrangement of the germline TCR locus, a process termed V(D)J recombination, that has the potential to generate marked diversity of TCRs (estimated to range from 10 15 (ref. 1 ) to as high as 10 61 (ref. 2 ) possible receptors). Despite this potential diversity, TCRs from T cells that recognize the same pMHC epitope often share conserved sequence features, suggesting that it may be possible to predictively model epitope specificity. Here we report the in-depth characterization of ten epitope-specific TCR repertoires of CD8 + T cells from mice and humans, representing over 4,600 in-frame single-cell-derived TCRαβ sequence pairs from 110 subjects. We developed analytical tools to characterize these epitope-specific repertoires: a distance measure on the space of TCRs that permits clustering and visualization, a robust repertoire diversity metric that accommodates the low number of paired public receptors observed when compared to single-chain analyses, and a distance-based classifier that can assign previously unobserved TCRs to characterized repertoires with robust sensitivity and specificity. Our analyses demonstrate that each epitope-specific repertoire contains a clustered group of receptors that share core sequence similarities, together with a dispersed set of diverse ‘outlier’ sequences. By identifying shared motifs in core sequences, we were able to highlight key conserved residues driving essential elements of TCR recognition. These analyses provide insights into the generalizable, underlying features of epitope-specific repertoires and adaptive immune recognition.