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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">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/vjgb-26-08</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-4986</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>ГЕНЕТИКА ЧЕЛОВЕКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>HUMAN GENETICS</subject></subj-group></article-categories><title-group><article-title>Транскриптомика тяжелой формы COVID-19</article-title><trans-title-group xml:lang="en"><trans-title>Transcriptomics of severe COVID-19</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9487-9471</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гусарова</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gusarova</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томск</p></bio><bio xml:lang="en"><p>Tomsk</p></bio><email xlink:type="simple">anastasia.gusarova@medgenetics.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/0000-0003-1311-7403</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Трифонова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Trifonova</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томск</p></bio><bio xml:lang="en"><p>Tomsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1193-5579</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бабовская</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Babovskaya</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томск</p></bio><bio xml:lang="en"><p>Tomsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9526-8581</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гавриленко</surname><given-names>М. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Gavrilenko</surname><given-names>M. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томск</p></bio><bio xml:lang="en"><p>Tomsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5166-331X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Степанов</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Stepanov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томск</p></bio><bio xml:lang="en"><p>Tomsk</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Научно-исследовательский институт медицинской генетики, Томский национальный исследовательский медицинский центр Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>05</day><month>03</month><year>2026</year></pub-date><volume>30</volume><issue>1</issue><fpage>101</fpage><lpage>116</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Гусарова А.А., Трифонова Е.А., Бабовская А.А., Гавриленко М.М., Степанов В.А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Гусарова А.А., Трифонова Е.А., Бабовская А.А., Гавриленко М.М., Степанов В.А.</copyright-holder><copyright-holder xml:lang="en">Gusarova A.A., Trifonova E.A., Babovskaya A.A., Gavrilenko M.M., Stepanov V.A.</copyright-holder><license 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://vavilov.elpub.ru/jour/article/view/4986">https://vavilov.elpub.ru/jour/article/view/4986</self-uri><abstract><p>В настоящее время выявление биомаркеров, позволяющих эффективно определить пациентов с риском развития тяжелой формы COVID-19, которая может привести к летальному исходу, считается важной задачей. Изучение патогенетических механизмов перехода умеренной формы в тяжелую с помощью анализа транскриптома крови обеспечивает идентификацию дифференциально экспрессирующихся генов  (ДЭГ), которые могут стать потенциальными прогностическими биомаркерами тяжести инфекции, а также новыми терапевтическими мишенями в борьбе с осложнениями COVID-19. В данном обзорном исследовании проведены поиск и анализ работ по изучению различий в экспрессии генов при применении подхода секвенирования РНК пула клеток крови (bulk RNA-seq) при сравнении умеренной и тяжелой степени коронавирусной инфекции. По результатам пяти работ были определены пять общих, наиболее значимых дифференциально экспрессирующихся генов (CD177, PPARG, PCOLCE2, SLC51A и ADAMTS2) и рассмотрена их предполагаемая роль в развитии тяжелой формы COVID-19. Проведен анализ функционального обогащения, который определил общие пути, в которые вовлечены гены, дифференциально экспрессирующиеся при тяжелой форме COVID-19, такие как активация процессов дегрануляции нейтрофилов, путей интерлейкинов, биосинтеза коллагена и подавление путей адаптивного и опосредованного NK-клетками иммунного ответа. Проанализированы также результаты секвенирования РНК единичных клеток (single-cell RNA-seq) в изучении умеренной и тяжелой форм, подтверждающие некоторые результаты bulk RNA-seq. В связи с низкой общностью данных в рассматриваемых работах один из разделов обзора посвящен анализу дизайнов выбранных исследований, включая инструменты анализа, сбор материала и критерии формирования сравниваемых групп. Транскриптомика тяжелой формы COVID-19 раскрывает как клеточные, так и молекулярные механизмы иммунного ответа, дисрегуляция которого может привести к развитию тяжелых проявлений. При этом другие омиксные технологии смогут дополнить пробелы в изучении особенностей тяжелой формы и раскрыть механизмы прогрессирования заболевания для разработки подходов профилактики и терапии COVID-19.</p></abstract><trans-abstract xml:lang="en"><p>Currently, identifying biomarkers that can reliably predict the risk of developing severe COVID-19, potentially leading to fatal outcomes, remains a critical challenge. Studying the pathogenetic mechanisms underlying the progression from moderate to severe disease through blood transcriptome analysis enables the identification of differentially expressed genes (DEGs), which may serve as potential prognostic biomarkers of disease severity and as novel therapeutic targets for managing COVID-19 complications. In this review, we have summarized and analyzed studies that compared gene expression profiles between moderate and severe COVID-19 cases using bulk RNA sequencing of blood cell samples. Based on the results of five studies, five commonly and significantly differentially expressed genes were identified (CD177, PPARG, PCOLCE2, SLC51A and ADAMTS2), and their potential roles in the progression to severe COVID-19 are discussed. Functional enrichment analysis was performed, and shared pathways associated with severe COVID-19 were identified, including neutrophil degranulation, interleukin signaling, collagen biosynthesis, and suppression of adaptive and NK cell-mediated immune responses. Additionally, single-cell RNA sequencing (scRNA-seq) studies were reviewed, comparing moderate and severe cases, supporting some of the bulk RNA-seq findings. Due to the limited overlap of data in the reviewed articles, one section of this review focuses on the study designs, including analytical tools, sample collection protocols, and criteria used to define comparison groups. Transcriptomic analysis of the COVID-19 severe form reveals both cellular and molecular mechanisms of the immune response, the dysregulation of which can lead to the development of severe manifestations. RNA-markers seem to be promising predictors of the severity of COVID-19. At the same time, other omics technologies can fill in the gaps in understanding the characteristics of severe COVID-19 and identify mechanisms of disease progression to develop approaches for COVID-19 prevention and treatment.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>тяжелая форма COVID-19</kwd><kwd>секвенирование РНК</kwd><kwd>транскриптомика</kwd><kwd>bulk RNA-seq</kwd><kwd>single-cell RNA-seq</kwd><kwd>дифференциально экспрессирующиеся гены</kwd></kwd-group><kwd-group xml:lang="en"><kwd>severe COVID-19</kwd><kwd>RNA sequencing</kwd><kwd>transcriptomics</kwd><kwd>bulk RNA-seq</kwd><kwd>single-cell RNA-seq</kwd><kwd>differentially expressed genes</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>The research was carried out at the expense of the State assignment (fundamental scientific research No. 122020200083-8).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Abakushina E.V., Kuzmina E.G., Kovalenko E.I. 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