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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">rpmj</journal-id><journal-title-group><journal-title xml:lang="ru">Research'n Practical Medicine Journal</journal-title><trans-title-group xml:lang="en"><trans-title>Research and Practical Medicine Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2410-1893</issn><publisher><publisher-name>"QUASAR", LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17709/2410-1893-2021-8-3-2</article-id><article-id custom-type="elpub" pub-id-type="custom">rpmj-612</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>Оригинальные статьи. Онкология, лучевая терапия</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Original Articles. Оncology</subject></subj-group></article-categories><title-group><article-title>Анализ данных высокопроизводительного секвенирования и микрочипов для идентификации ключевых сигнатур микрорибонуклеиновых кислот в глиобластоме</article-title><trans-title-group xml:lang="en"><trans-title>Data analysis of high-throughput sequencing and microarray to identify key signatures of microribonucleic acids in glioblastoma</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2385-6285</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Пушкин</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Pushkin</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Пушкин Антон Андреевич – научный сотрудник лаборатории молекулярной онкологии, SPIN: 9223-1871, AuthorID: 975797, ResearcherID: AAA-8887-2020, ScopusAuthor ID: 57200548010</p><p>344037, Российская Федерация, г. Ростов-на-Дону, ул. 14-я линия, д. 63</p></bio><bio xml:lang="en"><p>Anton A. Pushkin – Researcher, Laboratory of Molecular Oncology,  SPIN: 9223-1871, AuthorID: 975797, ResearcherID: AAA-8887-2020, Scopus Author ID: 57200548010</p><p>63 14 line str., Rostov-on-Don 344037</p></bio><email xlink:type="simple">anton.a.pushkin@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6358-7361</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тимошкина</surname><given-names>Н. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Dzenkova</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тимошкина Наталья Николаевна – к.б.н., руководитель лаборатории молекулярной онкологии, SPIN: 9483-4330, AuthorID: 633651, ResearcherID: D-3876-2018, Scopus Author ID: 24077206000 </p><p>344037, Российская Федерация, г. Ростов-на-Дону, ул. 14-я линия, д. 63</p></bio><bio xml:lang="en"><p>Elena A. Dzhenkova – Dr. Sci. (Biol.), Associate Professor, academic secretary, SPIN: 6206-6222, AuthorID: 697354, ResearcherID: K-9622-2014, Scopus Author ID: 6507889745</p><p>63 14 line str., Rostov-on-Don 344037</p></bio><email xlink:type="simple">n_timoshkina@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8633-2660</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гвалдин</surname><given-names>Д. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Timoshkina</surname><given-names>N. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гвалдин Дмитрий Юрьевич – к.б.н., научный сотрудник лаборатории молекулярной онкологии, SPIN: 8426-9283, AuthorID: 1010353, ResearcherID: AAA-9894-2020, Scopus Author ID: 57195716861 </p><p>344037, Российская Федерация, г. Ростов-на-Дону, ул. 14-я линия, д. 63</p></bio><bio xml:lang="en"><p>Natalya N. Timoshkina – Cand. Sci. (Biol.), Head of the Laboratory Molecular Oncology, SPIN: 9483-4330, AuthorID: 633651, ResearcherID: D-3876-2018, Scopus Author ID: 24077206000</p><p>63 14 line str., Rostov-on-Don 344037</p></bio><email xlink:type="simple">89dmitry@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3561-098X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дженкова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gvaldin</surname><given-names>D. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дженкова Елена Алексеевна – д.б.н., доцент, ученый секретарь, SPIN: 6206-6222, AuthorID: 697354, ResearcherID: K-9622-2014, Scopus Author ID: 6507889745</p><p>344037, Российская Федерация, г. Ростов-на-Дону, ул. 14-я линия, д. 63</p></bio><bio xml:lang="en"><p>Dmitry Yu. Gvaldin – Cand. Sci. (Biol.), Researcher, Laboratory of Molecular Oncology, SPIN: 8426-9283, AuthorID: 1010353, ResearcherID: AAA-9894-2020, Scopus Author ID: 57195716861</p><p>63 14 line str., Rostov-on-Don 344037</p></bio><email xlink:type="simple">rnioi@list.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУ «НМИЦ онкологии» Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Medical Research Centre of Oncology of the Russian Ministry of Health</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>23</day><month>09</month><year>2021</year></pub-date><volume>8</volume><issue>3</issue><fpage>21</fpage><lpage>33</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Пушкин А.А., Тимошкина Н.Н., Гвалдин Д.Ю., Дженкова Е.А., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Пушкин А.А., Тимошкина Н.Н., Гвалдин Д.Ю., Дженкова Е.А.</copyright-holder><copyright-holder xml:lang="en">Pushkin A.A., Dzenkova E.A., Timoshkina N.N., Gvaldin D.Y.</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.rpmj.ru/rpmj/article/view/612">https://www.rpmj.ru/rpmj/article/view/612</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. Данная работа посвящена исследованию паттернов экспрессии мРНК и микроРНК глиобластом с использованием The Cancer Genome Atlas (TCGA) данных, поиску генетических детерминант, определяющих прогноз выживаемости пациентов и созданию сетей взаимодействий для глиобластом.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. На основании данных открытой базы TCGA были сформированы группы глиобластом и условно нормальных образцов тканей головного мозга. Для каждого образца извлечены данные выживаемости и экспрессии генов и микроРНК. После стратификации данных по группам был проведен дифференциальный анализ экспрессии, осуществлен поиск генов, оказывающих влияние на выживаемость пациентов, выполнен анализ обогащения по функциональной принадлежности и интерактомный анализ.</p></sec><sec><title>Результаты</title><p>Результаты. В общей сложности проанализировано 156 образцов глиобластом с данными мРНК-секвенирования, 571 образец с данными микрочипового анализа микроРНК и 15 контрольных образцов. Были построены сети взаимодействий мРНК-микроРНК и разработаны экспрессионные профили генов и микроРНК, характерные для глиобластом. Определены гены, аберрантный уровень которых ассоциирован с выживаемостью, показаны попарные корреляционные связи между ДЭГ и ДЭ микроРНК.</p></sec><sec><title>Заключение</title><p>Заключение. Выявленные для глиобластом регуляторные пары микроРНК-мРНК могут стимулировать разработку новых терапевтических подходов, основанных на подтип-специфичных регуляторных механизмах онкогенеза.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose of the study</title><p>Purpose of the study. This research was devoted to study of mRNA and miRNA expression patterns in glioglastomas using The Cancer Genome Atlas (TCGA) data, to search for genetic determinants that determine the prognosis of patient survival and to create of interaction networks for glioblastomas.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. Based on the data of the open TCGA database groups of glioblastomas and conventionally normal brain tissue samples were formed. Survival gene and miRNA expression data were extracted for each sample. After the data stratification by groups the differential expression analysis and search the genes affecting patient survival was carried out. The enrichment analysis by functional affiliation and an interactome analysis were performed.</p></sec><sec><title>Results</title><p>Results. A total of 156 glioblastoma samples with mRNA sequencing data, 571 samples with microarray microRNA analysis data, and 15 control samples were analyzed. Networks of mRNA-miRNA interactions were built and expression profiles of genes and miRNAs characteristic of glioblastomas were developed. We have determined the genes which aberrant level is associated with survival and shown the pairwise DEG and DE of microRNA correlations.</p></sec><sec><title>Conclusion</title><p>Conclusion. The microRNA-mRNA regulatory pairs identified for glioblastomas can stimulate the development of new therapeutic approaches based on subtype-specific regulatory mechanisms of oncogenesis.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>глиобластома</kwd><kwd>атлас генома рака</kwd><kwd>паттерны экспрессии</kwd><kwd>мРНК-микроРНК взаимодействия</kwd><kwd>прогноз выживаемости</kwd><kwd>генная онтология</kwd><kwd>сигнальные пути</kwd></kwd-group><kwd-group xml:lang="en"><kwd>glioblastoma</kwd><kwd>the cancer genome atlas</kwd><kwd>expression patterns</kwd><kwd>mRNA-microRNA interactions</kwd><kwd>prognosis of survival</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">Gvaldin DY, Pushkin AA, Timoshkina NN, Rostorguev EE, Nalgiev AM, Kit OI. Integrative analysis of mRNA and miRNA sequencing data for gliomas of various grades. 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