-
Je něco špatně v tomto záznamu ?
Method for identification of condition-associated public antigen receptor sequences
MV. Pogorelyy, AA. Minervina, DM. Chudakov, IZ. Mamedov, YB. Lebedev, T. Mora, AM. Walczak,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
724208
European Research Council - International
NLK
Directory of Open Access Journals
od 2013
Free Medical Journals
od 2012
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2012-01-01
Open Access Digital Library
od 2012-01-01
Open Access Digital Library
od 2013-01-01
Health & Medicine (ProQuest)
od 2012-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2012
PubMed
29533178
DOI
10.7554/elife.33050
Knihovny.cz E-zdroje
- MeSH
- adaptivní imunita genetika MeSH
- Cytomegalovirus imunologie MeSH
- diabetes mellitus genetika imunologie MeSH
- genetická variace imunologie MeSH
- hypervariabilní oblasti genetika MeSH
- lidé MeSH
- receptory antigenů B-buněk genetika MeSH
- receptory antigenů T-buněk genetika imunologie MeSH
- receptory antigenů genetika imunologie MeSH
- receptory imunologické genetika imunologie MeSH
- vysoce účinné nukleotidové sekvenování MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform repertoire-wide disease association studies of antigen receptor sequences. We developed a statistical framework for associating receptors to disease from only a small cohort of patients, with no need for a control cohort. Our method successfully identifies previously validated Cytomegalovirus and type one diabetes responsive TCR[Formula: see text] sequences .
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19035356
- 003
- CZ-PrNML
- 005
- 20191011093911.0
- 007
- ta
- 008
- 191007s2018 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.7554/eLife.33050 $2 doi
- 035 __
- $a (PubMed)29533178
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Pogorelyy, Mikhail V $u Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
- 245 10
- $a Method for identification of condition-associated public antigen receptor sequences / $c MV. Pogorelyy, AA. Minervina, DM. Chudakov, IZ. Mamedov, YB. Lebedev, T. Mora, AM. Walczak,
- 520 9_
- $a Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform repertoire-wide disease association studies of antigen receptor sequences. We developed a statistical framework for associating receptors to disease from only a small cohort of patients, with no need for a control cohort. Our method successfully identifies previously validated Cytomegalovirus and type one diabetes responsive TCR[Formula: see text] sequences .
- 650 _2
- $a adaptivní imunita $x genetika $7 D056704
- 650 _2
- $a hypervariabilní oblasti $x genetika $7 D022801
- 650 _2
- $a Cytomegalovirus $x imunologie $7 D003587
- 650 _2
- $a diabetes mellitus $x genetika $x imunologie $7 D003920
- 650 _2
- $a genetická variace $x imunologie $7 D014644
- 650 _2
- $a vysoce účinné nukleotidové sekvenování $7 D059014
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a receptory antigenů $x genetika $x imunologie $7 D011946
- 650 _2
- $a receptory antigenů B-buněk $x genetika $7 D011947
- 650 _2
- $a receptory antigenů T-buněk $x genetika $x imunologie $7 D011948
- 650 _2
- $a receptory imunologické $x genetika $x imunologie $7 D011971
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Minervina, Anastasia A $u Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
- 700 1_
- $a Chudakov, Dmitriy M $u Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia. Center for Data-Intensive Biomedicine and Biotechnology, Skolkovo Institute of Science and Technology, Moscow, Russia. Central European Institute of Technology, Brno, Czech republic.
- 700 1_
- $a Mamedov, Ilgar Z $u Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.
- 700 1_
- $a Lebedev, Yuri B $u Department of Genomics of Adaptive Immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia. Biological Faculty, Moscow State University, Moscow, Russia.
- 700 1_
- $a Mora, Thierry $u Laboratoire de Physique Statistique, CNRS, Sorbonne University, Paris-Diderot University, École Normale Supérieure, Paris, France.
- 700 1_
- $a Walczak, Aleksandra M $u Laboratoire de Physique Theorique, CNRS, Sorbonne University, École Normale Supérieure, Paris, France.
- 773 0_
- $w MED00188753 $t eLife $x 2050-084X $g Roč. 7, č. - (2018)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/29533178 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20191007 $b ABA008
- 991 __
- $a 20191011094331 $b ABA008
- 999 __
- $a ok $b bmc $g 1452016 $s 1073906
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 7 $c - $e 20180313 $i 2050-084X $m eLife $n eLife $x MED00188753
- GRA __
- $a 724208 $p European Research Council $2 International
- LZP __
- $a Pubmed-20191007