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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Cell and Tissue Biology</journal-id><journal-title-group><journal-title xml:lang="en">Cell and Tissue Biology</journal-title><trans-title-group xml:lang="ru"><trans-title>Цитология</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0041-3771</issn><issn publication-format="electronic">3034-6061</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">677466</article-id><article-id pub-id-type="doi">10.31857/S0041377124050036</article-id><article-id pub-id-type="edn">DUVXRC</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Design and selection of guides for CRISPR/Cas9-mediated knockout of the <italic>Kcnv</italic>2 gene in mouse cells</article-title><trans-title-group xml:lang="ru"><trans-title>Дизайн и подбор гидов для CRISPR/Cas9-опосредованного нокаута гена <italic>Kcnv</italic>2 в мышиных клетках</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Antonova</surname><given-names>E. N.</given-names></name><name xml:lang="ru"><surname>Антонова</surname><given-names>Е. Н.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>antonova.en@genlab.llc</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Soroka</surname><given-names>A. B.</given-names></name><name xml:lang="ru"><surname>Сорока</surname><given-names>А. Б.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>antonova.en@genlab.llc</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Mityaeva</surname><given-names>O. N.</given-names></name><name xml:lang="ru"><surname>Митяева</surname><given-names>О. Н.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>antonova.en@genlab.llc</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Volchkov</surname><given-names>P. Yu.</given-names></name><name xml:lang="ru"><surname>Волчков</surname><given-names>П. Ю.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>antonova.en@genlab.llc</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow Institute of Physics and Technology (National Research University)</institution></aff><aff><institution xml:lang="ru">Московский физико-технический институт (национальный исследовательский университет)</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">Московский государственный университет имени М.В. Ломоносова</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies</institution></aff><aff><institution xml:lang="ru">Федеральный исследовательский центр оригинальных и перспективных биомедицинских и фармацевтических технологий</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-11-15" publication-format="electronic"><day>15</day><month>11</month><year>2024</year></pub-date><volume>66</volume><issue>5-6</issue><fpage>420</fpage><lpage>437</lpage><history><date date-type="received" iso-8601-date="2025-03-20"><day>20</day><month>03</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Российская академия наук</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://vietnamjournal.ru/0041-3771/article/view/677466">https://vietnamjournal.ru/0041-3771/article/view/677466</self-uri><abstract xml:lang="en"><p>Mutations in the human <italic>KCNV2</italic> gene cause a rare hereditary disease — cone dystrophy with supernormal rod response (CDSRR), characterized by progressive vision loss and impaired color discrimination. The <italic>KCNV2</italic> gene encodes the Kv8.2 subunit of a potassium channel that is critical for the normal function of retinal photoreceptors. Gene therapy offers a promising treatment approach for this condition. To test the efficacy of gene therapy, an appropriate experimental disease model, such as a knockout mouse model, is required. This study focused on selecting optimal guide RNAs for knocking out the <italic>Kcnv2</italic> gene using the CRISPR/Cas9 system and testing their efficiency in a mouse cell line. The selected guide RNAs can be utilized to generate a <italic>Kcnv2</italic><bold>-/-</bold> mouse model.</p></abstract><trans-abstract xml:lang="ru"><p>Мутации в гене <italic>KCNV2</italic> человека вызывают редкое наследственное заболевание сетчатки — дистрофию колбочек с повышенной активностью палочек (CDSRR), которая характеризуется прогрессирующей потерей зрения и нарушением цветоразличения. Ген <italic>KCNV2</italic> кодирует субъединицу калиевого канала Kv8.2, играющую важную роль в нормальной работе фоторецепторов сетчатки. Поскольку в настоящее время этиотропной терапии для CDSRR не существует, генотерапия представляется перспективным методом лечения. Для проверки эффективности генотерапевтических подходов необходимо создание адекватной экспериментальной модели — нокаутной мышиной линии по гену <italic>Kcnv2</italic>. В нашем исследовании мы сосредоточились на подборе оптимальных гидовых РНК для нокаута данного гена с использованием системы CRISPR/Cas9 и их проверке на мышиной клеточной линии. Результаты экспериментов показали успешное создание одной маленькой 40 нуклеотидов (нт)) и нескольких больших делеций (1100–1400 нт) в гене <italic>Kcnv2</italic>. Эти данные подтверждают эффективность выбранных гидов и создают основу для разработки нокаутной мышиной модели, которая позволит изучать патофизиологию заболевания и провести тестирование потенциальных терапевтических методов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>KCNV2 gene</kwd><kwd>Kcnv2 gene</kwd><kwd>guide RNA</kwd><kwd>deletion</kwd><kwd>Cas9</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>гены Kcnv2</kwd><kwd>KCNV2</kwd><kwd>гидовая РНК</kwd><kwd>делеция</kwd><kwd>Cas9</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Правительство Российской Федерации</institution></institution-wrap><institution-wrap><institution xml:lang="en">Government of the Russian Federation</institution></institution-wrap></funding-source><award-id>075-03-2024-323/3</award-id></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Andreazzoli M., Barravecchia I., De Cesari C., Angeloni D., Demontis G.C. 2021. 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