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10.18632/aging.202725 http://scihub22266oqcxt.onion/10.18632/aging.202725 33647885!7993677!33647885     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Aging+(Albany+NY) 2021 ; 13 (5): 6273-6288 Nephropedia Template TP {{tp|p=33647885|t=2021. The networks of m(6)A-SARS-CoV-2 related genes and immune infiltration patterns in idiopathic pulmonary fibrosis |pdf=|usr=}}{{33647885}} gab.com Text The networks of m(6)A-SARS-CoV-2 related genes and immune infiltration patterns in idiopathic pulmonary fibrosis JO: Aging (Albany NY) http://www.kidney.de/pget.php?&tw=1&pmid=33647885 #FOAvip Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with a poor prognosis. The current coronavirus disease 2019 (COVID-19) shares some similarities with IPF. SARS-CoV-2 related genes have been reported to be broadly regulated by N(6)-methyladenosine (m(6)A) RNA modification. Here, we identified the association between m(6)A methylation regulators, COVID-19 infection pathways, and immune responses in IPF. The characteristic gene expression networks and immune infiltration patterns of m(6)A-SARS-CoV-2 related genes in different tissues of IPF were revealed. We subsequently evaluated the influence of these related gene expression patterns and immune infiltration patterns on the prognosis/lung function of IPF patients. The IPF cohort was obtained from the Gene Expression Omnibus dataset. Pearson correlation analysis was performed to identify the correlations among genes or cells. The CIBERSORT algorithm was used to assess the infiltration of 22 types of immune cells. The least absolute shrinkage and selection operator (LASSO) and proportional hazards model (Cox model) were used to develop the prognosis prediction model. Our research is pivotal for further understanding of the cellular and genetic links between IPF and SARS-CoV-2 infection in the context of the COVID-19 pandemic, which may contribute to providing new ideas for prognosis assessment and treatment of both diseases. Twit Text FOAVip The networks of m(6)A-SARS-CoV-2 related genes and immune infiltration patterns in idiopathic pulmonary fibrosis ????Aging (Albany NY) http://www.kidney.de/pget.php?&tw=1&pmid=33647885 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33647885 #FOAvip English Wikipedia <ref>{{Cite pmid|33647885}}</ref> The networks of m(6)A-SARS-CoV-2 related genes and immune infiltration patterns in idiopathic pulmonary fibrosis #MMPMID33647885 Li X; Peng C; Zhu Z; Cai H; Zhuang Q Aging (Albany NY) 2021[Mar]; 13 (5): 6273-6288 PMID33647885show ga Idiopathic pulmonary fibrosis (IPF) is a chronic progressive lung disease with a poor prognosis. The current coronavirus disease 2019 (COVID-19) shares some similarities with IPF. SARS-CoV-2 related genes have been reported to be broadly regulated by N(6)-methyladenosine (m(6)A) RNA modification. Here, we identified the association between m(6)A methylation regulators, COVID-19 infection pathways, and immune responses in IPF. The characteristic gene expression networks and immune infiltration patterns of m(6)A-SARS-CoV-2 related genes in different tissues of IPF were revealed. We subsequently evaluated the influence of these related gene expression patterns and immune infiltration patterns on the prognosis/lung function of IPF patients. The IPF cohort was obtained from the Gene Expression Omnibus dataset. Pearson correlation analysis was performed to identify the correlations among genes or cells. The CIBERSORT algorithm was used to assess the infiltration of 22 types of immune cells. The least absolute shrinkage and selection operator (LASSO) and proportional hazards model (Cox model) were used to develop the prognosis prediction model. Our research is pivotal for further understanding of the cellular and genetic links between IPF and SARS-CoV-2 infection in the context of the COVID-19 pandemic, which may contribute to providing new ideas for prognosis assessment and treatment of both diseases. |*Gene Regulatory Networks[MESH] |Adenosine/*analogs & derivatives/genetics/immunology[MESH] |Algorithms[MESH] |COVID-19/diagnosis/*genetics/immunology[MESH] |Humans[MESH] |Idiopathic Pulmonary Fibrosis/diagnosis/*genetics/immunology[MESH] |Immunity[MESH] |Immunity, Cellular[MESH] |Prognosis[MESH] |RNA, Long Noncoding/genetics/immunology[MESH] |RNA/genetics/immunology[MESH]The networks of m(6)A-SARS-CoV-2 related genes and immune infiltration(epmc).pdf DeepDyve Pubget Overpricing