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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">medgen</journal-id><journal-title-group><journal-title xml:lang="ru">Медицинская генетика</journal-title><trans-title-group xml:lang="en"><trans-title>Medical Genetics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2073-7998</issn><publisher><publisher-name>Publishing House «Genius Media» LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.25557/2073-7998.2022.07.60-62</article-id><article-id custom-type="elpub" pub-id-type="custom">medgen-2118</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КРАТКОЕ СООБЩЕНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BRIEF REPORT</subject></subj-group></article-categories><title-group><article-title>Полногеномный поиск SNPs в таргетных сайтах миРНК в 3’нетранслируемой области мРНК, связанных с индивидуальной чувствительностью к лекарствам</article-title><trans-title-group xml:lang="en"><trans-title>The genome-wide search of SNPs in 3’-UTR microRNA target sequences associated with individual drug susceptibility</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Корболина</surname><given-names>Е. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Korbolina</surname><given-names>E. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ершов</surname><given-names>Н. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ershov</surname><given-names>N. .</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рыкова</surname><given-names>Е. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Rykova</surname><given-names>E. .</given-names></name></name-alternatives><email xlink:type="simple">rykova.elena.2014@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный исследовательский центр «Институт цитологии и генетики СО РАН»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Федеральный исследовательский центр «Институт цитологии и генетики СО РАН»; Институт химической биологии и фундаментальной медицины СО РАН; Новосибирский государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences; Institute of Сhemical Biology and Fundamental Medicine of the Siberian Branch of the RAS;  Novosibirsk State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>08</day><month>12</month><year>2022</year></pub-date><volume>21</volume><issue>7</issue><fpage>60</fpage><lpage>62</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Корболина Е.Е., Ершов Н.И., Рыкова Е.Ю., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Корболина Е.Е., Ершов Н.И., Рыкова Е.Ю.</copyright-holder><copyright-holder xml:lang="en">Korbolina E..., Ershov N..., Rykova E...</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.medgen-journal.ru/jour/article/view/2118">https://www.medgen-journal.ru/jour/article/view/2118</self-uri><abstract><p>Методы. Для анализа были взяты 253 аллель-асимметричных события, возникающие или усиливающиеся в 5 типах клеток человека в ответ на экзогенные соединения, включающие ряд фармакологических препаратов и 5402 eQTLs, выявленных при обработке интерфероном гамма (ИФН-γ) моноцитов периферической крови человека (PBMC). Были выбраны SNPs, локализованные в 3’UTR транскриптов, и выполнен поиск потенциальных сайтов связывания миРНК с использованием базы данных PolymiRTS. Результаты. В 5270 SNPs, проявивших себя как eQTLs, обеспечивающих реакцию PBMC на ИФН-γ, выявлены 307 событий, расположенных в предсказанных сайтах связывания миРНК, аффинность которых хотя бы к одной миРНК менялась в результате нуклеотидной замены. Среди 253 событий ASE 58 совпадали с вариациями, затрагивающими сайты связывания миРНК в 3’UTR различных мРНК. В большинстве случаев снижение экспрессии варианта соответствовало появлению сайта связывания миРНК. Заключение. Как анализ eQTL, так и поиск ASE являются эффективными инструментами выявления SNPs, расположенных в 3’UTR таргетных сайтов миРНК и связанных с индивидуальным ответом на лекарства.</p></abstract><trans-abstract xml:lang="en"><p>The aim of this study was the identification of SNPs in 3’-UTR microRNA (miRNA) target sequences, underlining individual drug susceptibility, based on available data on eQTL and allele-specific expression (ASE) analysis. Methods and Algorithms: The search for SNPs in 3’-UTR miRNA target sites was carried out in 253 ASE events identified upon exposure of 5 human cell types to various drugs, nutrients and pollutants [<xref ref-type="bibr" rid="cit1">1</xref>] and in 5402 eQTLs that appeared upon treatment of CD14+ monocytes with IFN-γ [<xref ref-type="bibr" rid="cit2">2</xref>]. Data on the functional impact of SNPs on predicted miRNA sites were taken from the PolymiRTS database. Results: Of the 5402 eQTLs identified under IFN-γ treatment, 317 contained predicted miRNA binding sites affected by the nucleotide substitution. The highest enrichment in the group of 317 eQTLs was shown for the terms «cellular response to stress» (41 genes) and «immune response» (36 genes). Out of 253 ASE events, 58 coincided with the predicted SNPs in 3’-UTR miRNA target sequences. In most cases, reduced expression of the allelic variant corresponded to the appearance of a binding site for a particular miR(s). Conclusion: Both eQTL and ASE analysis are effective tools to identify SNPs located in 3’-UTR miRNA target sequences and associated with individual drug response.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>SNP</kwd><kwd>3’-UTR</kwd><kwd>сайты-мишени миРНК</kwd><kwd>ответ на лекарство</kwd></kwd-group><kwd-group xml:lang="en"><kwd>SNPs</kwd><kwd>3’-UTR</kwd><kwd>miRNA target sites</kwd><kwd>drug response</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Moyerbrailean G.A., Richards A.L., Kurtz D., et al. High-throughput allele-specific expression across 250 environmental conditions. Genome Res. 2016 Dec;26(12):1627-1638.</mixed-citation><mixed-citation xml:lang="en">Moyerbrailean G.A., Richards A.L., Kurtz D., et al. High-throughput allele-specific expression across 250 environmental conditions. 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