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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">10.25557/2073-7998.2020.10.40-50</article-id><article-id custom-type="elpub" pub-id-type="custom">medgen-1733</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 ИССЛЕДОВАНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL RESEARCH</subject></subj-group></article-categories><title-group><article-title>Анализ выхода ДНК при ее автоматизированной экстракции из лейкоцитов крови</article-title><trans-title-group xml:lang="en"><trans-title>Analysis of automatically extracted white blood cell DNA yield</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>Олькова</surname><given-names>М. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Olkova</surname><given-names>M. V.</given-names></name></name-alternatives><email xlink:type="simple">m.olkova@med-gen.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>Балановская</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Balanovska</surname><given-names>E. V.</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>Бычковская</surname><given-names>Л. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Bychkovskaya</surname><given-names>L. S.</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>Балановский</surname><given-names>О. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Balanovsky</surname><given-names>O. P.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБНУ «Медико-генетический научный центр имени академика Н.П. Бочкова»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Centre for Medical Genetics</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБНУ «Медико-генетический научный центр имени академика Н.П. Бочкова»; ФГБУН Институт общей генетики им. Н.И. Вавилова Российской академии наук; Биобанк Северной Евразии</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Centre for Medical Genetics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>14</day><month>12</month><year>2020</year></pub-date><volume>19</volume><issue>10</issue><fpage>40</fpage><lpage>50</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Олькова М.В., Балановская Е.В., Бычковская Л.С., Балановский О.П., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Олькова М.В., Балановская Е.В., Бычковская Л.С., Балановский О.П.</copyright-holder><copyright-holder xml:lang="en">Olkova M.V., Balanovska E.V., Bychkovskaya L.S., Balanovsky O.P.</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/1733">https://www.medgen-journal.ru/jour/article/view/1733</self-uri><abstract><p>Все более широкое применение поточных методов экстракции ДНК влечет за собой необходимость стандартизации и проверки качества ее выделения. Мы провели детальное количественное изучение процесса выделения и определили стандартизирующие опорные точки для одного из наиболее производительных методов - выделения на магнитных частицах с использованием автоматической станции QIAsymphony SP. Показано, что концентрация ДНК в индивидуальном образце в основном определяется содержанием лейкоцитов в исходном образце крови (корреляция около 0,9). Концентрация ДНК также зависит от метода измерения. Это позволило нам построить линейные регрессионные модели и вывести формулы, точно прогнозирующие концентрацию ДНК в образце для случаев применения двух широко распространенных методов - спектрофотометрического (Nanodrop) и флуоресцентного (Qubit). Обнаружено, что последняя модель Nanodrop OneC, благодаря встроенному алгоритму идентификации примесей и корректировки концентрации, дает более точную оценку концентрации, чем Qubit 4.0. Для быстрого, но приблизительного прогноза концентрации ДНК вместо регрессионных моделей могут применяться стандарты, рассчитанные нами для референсных значений содержания лейкоцитов.</p></abstract><trans-abstract xml:lang="en"><p>The continuing development of mass DNA extraction methods entails the need to set standardisation and quality verification reference points. A study has been conducted and standards set for one of the many methods of DNA extraction - the automated мagnetic beads-based extraction using QIAsymphony SP station. It was shown that the concentration of DNA in an individual sample is mainly determined by the leukocyte content in the initial blood sample (correlation of about 0.9). DNA concentration also depends on the measurement method. It allowed us to build linear regression models and derive formulae that accurately predict the concentration of DNA in the sample for the use of two widely used methods - spectrophotometric (Nanodrop) and fluorescence (Qubit). It was found that the latest Nanodrop OneC model, thanks to a built-in algorithm for identifying impurities and adjusting the concentration, provides an even more accurate concentration estimate than Qubit 4.0. For a quick but rough forecast of DNA concentration, instead of regression models, standards calculated by us for reference values of the white blood cell count can be used.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>выделение ДНК</kwd><kwd>масса генома человека</kwd><kwd>масса ДНК</kwd><kwd>референсные значения</kwd><kwd>лейкоциты</kwd><kwd>магнитные частицы</kwd><kwd>концентрация ДНК</kwd><kwd>спектрофотометрический метод</kwd><kwd>флуоресцентный метод</kwd><kwd>QIAsymphony SP</kwd></kwd-group><kwd-group xml:lang="en"><kwd>DNA extraction</kwd><kwd>human genom mass</kwd><kwd>DNA mass</kwd><kwd>reference values</kwd><kwd>leukocytes</kwd><kwd>мagnetic beads</kwd><kwd>DNA concentration</kwd><kwd>spectrophotometric method</kwd><kwd>fluorescence method</kwd><kwd>QIAsymphony SP</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">Müller H., Dagher G., Loibner M., et al. 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