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10.1093/bib/bbab118

http://scihub22266oqcxt.onion/10.1093/bib/bbab118
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33907801!8135462!33907801
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suck abstract from ncbi


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pmid33907801      Brief+Bioinform 2021 ; 22 (5): ä
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  • Analyzing master regulators and scRNA-seq of COVID-19 patients reveals an underlying anti-SARS-CoV-2 mechanism of ZNF proteins #MMPMID33907801
  • Qin S; Xu W; Wang C; Jiang S; Dai W; Yang Y; Shen J; Jin P; Ma F; Xia X
  • Brief Bioinform 2021[Sep]; 22 (5): ä PMID33907801show ga
  • Studies have demonstrated that both mortality and severe illness rates exist significant difference in different gender COVID-19 patients, but the reasons are still very mysterious to date. Here, we firstly find that the survival outcome of female patients is better to male patients through analyzing the 3044 COVID-19 cases. Secondly, we identify many important master regulators [e.g. STAT1/STAT2 and zinc finger (ZNF) proteins], in particular female patients can express more ZNF proteins and stronger transcriptional activities than male patients in response to SARS-CoV-2 infection. Thirdly, we discover that ZNF protein activity is significantly negative correlation with the SARS-CoV-2 load of COVID-19 patients, and ZNF proteins as transcription factors can also activate their target genes to participate in anti-SARS-CoV-2 infection. Fourthly, we demonstrate that ZNF protein activity is positive correlation with the abundance of multiple immune cells of COVID-19 patients, implying that the highly ZNF protein activity might promote the abundance and the antiviral activity of multiple immune cells to effectively suppress SARS-CoV-2 infection. Taken together, our study proposes an underlying anti-SARS-COV-2 role of ZNF proteins, and differences in the amount and activity of ZNF proteins might be responsible for the distinct prognosis of different gender COVID-19 patients.
  • |*Zinc Fingers[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/genetics/*metabolism/virology[MESH]
  • |Female[MESH]
  • |Flow Cytometry[MESH]
  • |Humans[MESH]
  • |Lymphocyte Subsets[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Prognosis[MESH]
  • |SARS-CoV-2/isolation & purification/*pathogenicity[MESH]
  • |Sequence Analysis, RNA/*methods[MESH]


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