COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts

dc.contributor.authorVälikangas Tommi
dc.contributor.authorJunttila Sini
dc.contributor.authorRytkönen Kalle T
dc.contributor.authorKukkonen-Macchi Anu
dc.contributor.authorSuomi Tomi
dc.contributor.authorElo Laura L
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.contributor.organization-code2609201
dc.converis.publication-id176228286
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/176228286
dc.date.accessioned2022-10-27T11:58:39Z
dc.date.available2022-10-27T11:58:39Z
dc.description.abstractThe coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading across the world despite vast global vaccination efforts. Consequently, many studies have looked for potential human host factors and immune mechanisms associated with the disease. However, most studies have focused on comparing COVID-19 patients to healthy controls, while fewer have elucidated the specific host factors distinguishing COVID-19 from other infections. To discover genes specifically related to COVID-19, we reanalyzed transcriptome data from nine independent cohort studies, covering multiple infections, including COVID-19, influenza, seasonal coronaviruses, and bacterial pneumonia. The identified COVID-19-specific signature consisted of 149 genes, involving many signals previously associated with the disease, such as induction of a strong immunoglobulin response and hemostasis, as well as dysregulation of cell cycle-related processes. Additionally, potential new gene candidates related to COVID-19 were discovered. To facilitate exploration of the signature with respect to disease severity, disease progression, and different cell types, we also offer an online tool for easy visualization of the selected genes across multiple datasets at both bulk and single-cell levels.
dc.identifier.eissn1664-8021
dc.identifier.jour-issn1664-8021
dc.identifier.olddbid173249
dc.identifier.oldhandle10024/156343
dc.identifier.urihttps://www.utupub.fi/handle/11111/31231
dc.identifier.urlhttps://doi.org/10.3389/fgene.2022.929887
dc.identifier.urnURN:NBN:fi-fe2022091258431
dc.language.isoen
dc.okm.affiliatedauthorVälikangas, Tommi
dc.okm.affiliatedauthorJunttila, Sini
dc.okm.affiliatedauthorRytkönen, Kalle
dc.okm.affiliatedauthorKukkonen-Macchi, Anu
dc.okm.affiliatedauthorSuomi, Tomi
dc.okm.affiliatedauthorElo, Laura
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherFRONTIERS MEDIA SA
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.articlenumber929887
dc.relation.doi10.3389/fgene.2022.929887
dc.relation.ispartofjournalFrontiers in Genetics
dc.relation.volume13
dc.source.identifierhttps://www.utupub.fi/handle/10024/156343
dc.titleCOVID-19-specific transcriptomic signature detectable in blood across multiple cohorts
dc.year.issued2022

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