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  1. 学術雑誌論文
  2. その他
  1. 部局別インデックス
  2. 工学部

PCA‑based unsupervised feature extraction for gene expression analysis of COVID‑19 patients

http://hdl.handle.net/20.500.12000/49789
http://hdl.handle.net/20.500.12000/49789
9e75c944-97df-4f82-95f6-bd8cde42bd10
名前 / ファイル ライセンス アクション
s41598-021-95698-w.pdf s41598-021-95698-w.pdf
Item type デフォルトアイテムタイプ(フル)(1)
公開日 2021-09-30
タイトル
タイトル PCA‑based unsupervised feature extraction for gene expression analysis of COVID‑19 patients
言語 ja
作成者 Fujisawa, Kota

× Fujisawa, Kota

en Fujisawa, Kota

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Shimo, Mamoru

× Shimo, Mamoru

en Shimo, Mamoru

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Taguchi, Y.‑H.

× Taguchi, Y.‑H.

ja Taguchi, Y.‑H.

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Ikematsu, Shinya

× Ikematsu, Shinya

en Ikematsu, Shinya

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Miyata, Ryota

× Miyata, Ryota

en Miyata, Ryota

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
言語 ja
権利情報 © The Author(s) 2021
権利情報
言語 en
権利情報 Creative Commons Attribution 4.0
権利情報
言語 en
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 https://creativecommons.org/licenses/by/4.0/
内容記述
内容記述タイプ Other
内容記述 Coronavirus disease 2019 (COVID-19) is raging worldwide. This potentially fatal infectious disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the complete mechanism of COVID-19 is not well understood. Therefore, we analyzed gene expression profiles of COVID-19 patients to identify disease-related genes through an innovative machine learning method that enables a data-driven strategy for gene selection from a data set with a small number of samples and many candidates. Principal-component-analysis-based unsupervised feature extraction (PCAUFE) was applied to the RNA expression profiles of 16 COVID-19 patients and 18 healthy control subjects. The results identified 123 genes as critical for COVID-19 progression from 60,683 candidate probes, including immune-related genes. The 123 genes were enriched in binding sites for transcription factors NFKB1 and RELA, which are involved in various biological phenomena such as immune response and cell survival: the primary mediator of canonical nuclear factor-kappa B (NF-κB) activity is the heterodimer RelA-p50. The genes were also enriched in histone modification H3K36me3, and they largely overlapped the target genes of NFKB1 and RELA. We found that the overlapping genes were downregulated in COVID-19 patients. These results suggest that canonical NF-κB activity was suppressed by H3K36me3 in COVID-19 patient blood.
内容記述
内容記述タイプ Other
内容記述 論文
出版者
言語 en
出版者 Nature Research
言語
言語 eng
資源タイプ
資源タイプ journal article
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
識別子
識別子 http://hdl.handle.net/20.500.12000/49789
識別子タイプ HDL
関連情報
識別子タイプ DOI
関連識別子 https://doi.org/10.1038/s41598-021-95698-w
関連情報
識別子タイプ DOI
関連識別子 https://doi.org/10.1038/s41598-021-95698-w
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 2045-2322
収録物名
言語 en
収録物名 Scientific Reports
書誌情報
巻 11, 発行日 2021-08-30
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