Method for identification of condition-associated public antigen receptor sequences

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 sequence...
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Autor*in:	Mikhail V Pogorelyy [verfasserIn] Anastasia A Minervina [verfasserIn] Dmitriy M Chudakov [verfasserIn] Ilgar Z Mamedov [verfasserIn] Yuri B Lebedev [verfasserIn] Thierry Mora [verfasserIn] Aleksandra M Walczak [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	repertoire sequencing statistical analysis condition associated receptors

Übergeordnetes Werk:	In: eLife - eLife Sciences Publications Ltd, 2013, 7(2018)
Übergeordnetes Werk:	volume:7 ; year:2018

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.7554/eLife.33050

Katalog-ID:	DOAJ084521767

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allfieldsSound	10.7554/eLife.33050 doi (DE-627)DOAJ084521767 (DE-599)DOAJ7fa7e2d8bd5145f898313beacb2dd9b1 DE-627 ger DE-627 rakwb eng QH301-705.5 Mikhail V Pogorelyy verfasserin aut Method for identification of condition-associated public antigen receptor sequences 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 . repertoire sequencing statistical analysis condition associated receptors Medicine R Science Q Biology (General) Anastasia A Minervina verfasserin aut Dmitriy M Chudakov verfasserin aut Ilgar Z Mamedov verfasserin aut Yuri B Lebedev verfasserin aut Thierry Mora verfasserin aut Aleksandra M Walczak verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 7(2018) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:7 year:2018 https://doi.org/10.7554/eLife.33050 kostenfrei https://doaj.org/article/7fa7e2d8bd5145f898313beacb2dd9b1 kostenfrei https://elifesciences.org/articles/33050 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2018
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callnumber-first	Q - Science
author	Mikhail V Pogorelyy
spellingShingle	Mikhail V Pogorelyy misc QH301-705.5 misc repertoire sequencing misc statistical analysis misc condition associated receptors misc Medicine misc R misc Science misc Q misc Biology (General) Method for identification of condition-associated public antigen receptor sequences
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topic_title	QH301-705.5 Method for identification of condition-associated public antigen receptor sequences repertoire sequencing statistical analysis condition associated receptors
topic	misc QH301-705.5 misc repertoire sequencing misc statistical analysis misc condition associated receptors misc Medicine misc R misc Science misc Q misc Biology (General)
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title	Method for identification of condition-associated public antigen receptor sequences
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title_full	Method for identification of condition-associated public antigen receptor sequences
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title_auth	Method for identification of condition-associated public antigen receptor sequences
abstract	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 .
abstractGer	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 .
abstract_unstemmed	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 .
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title_short	Method for identification of condition-associated public antigen receptor sequences
url	https://doi.org/10.7554/eLife.33050 https://doaj.org/article/7fa7e2d8bd5145f898313beacb2dd9b1 https://elifesciences.org/articles/33050 https://doaj.org/toc/2050-084X
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up_date	2024-07-03T23:25:46.915Z
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Method for identification of condition-associated public antigen receptor sequences

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