論文

国際誌
2022年7月13日

Identification of potential dilated cardiomyopathy-related targets by meta-analysis and co-expression analysis of human RNA-sequencing datasets

Life sciences
  • Yuan, Zixun
  • Murakoshi, Nobuyuki
  • Xu, Dongzhu
  • Tajiri, Kazuko
  • Okabe, Yuta
  • Aonuma, Kazuhiro
  • Murakata, Yoshiko
  • Li, Siqi
  • Song, Zonghu
  • Shimoda, Yuzuno
  • Mori, Haruka
  • Aonuma, Kazutaka
  • Ieda, Masaki
  • 全て表示

306
開始ページ
120807
終了ページ
120807
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.lfs.2022.120807

[AIMS] Dilated cardiomyopathy (DCM) remains among the most refractory heart diseases because of its complicated pathogenesis, and the key molecules that cause it remain unclear.
[MAIN METHODS] To elucidate the molecules and upstream pathways critical for DCM pathogenesis, we performed meta-analysis and co-expression analysis of RNA-sequencing (RNA-seq) datasets from publicly available databases. We analyzed three RNA-seq datasets containing comparisons of RNA expression in left ventricles between healthy controls and DCM patients. We extracted differentially expressed genes (DEGs) and clarified upstream regulators of cardiovascular disease-related DEGs by Ingenuity Pathway Analysis (IPA). Weighted Gene Co-expression Network Analysis (WGCNA) and Protein-Protein Interaction (PPI) analysis were also used to identify the hub gene candidates strongly associated with DCM.
[KEY FINDINGS] In total, 406 samples (184 healthy, 222 DCM) were used in this study. Overall, 391 DEGs [absolute fold change (FC) ≥ 1.5; P < 0.01], including 221 upregulated and 170 downregulated ones in DCM, were extracted. Seven common hub genes (LUM, COL1A2, CXCL10, FMOD, COL3A1, ADAMTS4, MRC1) were fina

リンク情報
DOI
https://doi.org/10.1016/j.lfs.2022.120807
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/35841977
ID情報
  • DOI : 10.1016/j.lfs.2022.120807
  • ISSN : 1879-0631
  • PubMed ID : 35841977

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