Detecting T cell receptors involved in immune responses from single repertoire snapshots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00113280" target="_blank" >RIV/00216224:14740/19:00113280 - isvavai.cz</a>
Result on the web
<a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000314" target="_blank" >https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000314</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pbio.3000314" target="_blank" >10.1371/journal.pbio.3000314</a>
Alternative languages
Result language
angličtina
Original language name
Detecting T cell receptors involved in immune responses from single repertoire snapshots
Original language description
Hypervariable T cell receptors (TCRs) play a key role in adaptive immunity, recognizing a vast diversity of pathogen-derived antigens. Our ability to extract clinically relevant information from large high-throughput sequencing of TCR repertoires (RepSeq) data is limited, because little is known about TCR-disease associations. We present Antigen-specific Lymphocyte Identification by Clustering of Expanded sequences (ALICE), a statistical approach that identifies TCR sequences actively involved in current immune responses from a single RepSeq sample and apply it to repertoires of patients with a variety of disorders - patients with autoimmune disease (ankylosing spondylitis [AS]), under cancer immunotherapy, or subject to an acute infection (live yellow fever [YF] vaccine). We validate the method with independent assays. ALICE requires no longitudinal data collection nor large cohorts, and it is directly applicable to most RepSeq datasets. Its results facilitate the identification of TCR variants associated with diseases and conditions, which can be used for diagnostics and rational vaccine design.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS Biology
ISSN
1544-9173
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000473675900034
EID of the result in the Scopus database
2-s2.0-85068887301