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10.3389/fimmu.2021.774776 http://scihub22266oqcxt.onion/10.3389/fimmu.2021.774776 34917088!8669770!34917088     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34917088&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 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 Deprecated: Implicit conversion from float 245.2 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 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34917088.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Front+Immunol 2021 ; 12 (ä): 774776 Nephropedia Template TP {{tp|p=34917088|t=2021. m(6)A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients |pdf=|usr=}}{{34917088}} gab.com Text m(6)A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients JO: Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34917088 #FOAvip Both RNA N6-methyladenosine (m(6)A) modification of SARS-CoV-2 and immune characteristics of the human body have been reported to play an important role in COVID-19, but how the m(6)A methylation modification of leukocytes responds to the virus infection remains unknown. Based on the RNA-seq of 126 samples from the GEO database, we disclosed that there is a remarkably higher m(6)A modification level of blood leukocytes in patients with COVID-19 compared to patients without COVID-19, and this difference was related to CD4(+) T cells. Two clusters were identified by unsupervised clustering, m(6)A cluster A characterized by T cell activation had a higher prognosis than m(6)A cluster B. Elevated metabolism level, blockage of the immune checkpoint, and lower level of m6A score were observed in m(6)A cluster B. A protective model was constructed based on nine selected genes and it exhibited an excellent predictive value in COVID-19. Further analysis revealed that the protective score was positively correlated to HFD45 and ventilator-free days, while negatively correlated to SOFA score, APACHE-II score, and crp. Our works systematically depicted a complicated correlation between m(6)A methylation modification and host lymphocytes in patients infected with SARS-CoV-2 and provided a well-performing model to predict the patients' outcomes. Twit Text FOAVip m(6)A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients ????Front Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34917088 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34917088 #FOAvip English Wikipedia <ref>{{Cite pmid|34917088}}</ref> m(6)A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients #MMPMID34917088 Qiu X; Hua X; Li Q; Zhou Q; Chen J Front Immunol 2021[]; 12 (ä): 774776 PMID34917088show ga Both RNA N6-methyladenosine (m(6)A) modification of SARS-CoV-2 and immune characteristics of the human body have been reported to play an important role in COVID-19, but how the m(6)A methylation modification of leukocytes responds to the virus infection remains unknown. Based on the RNA-seq of 126 samples from the GEO database, we disclosed that there is a remarkably higher m(6)A modification level of blood leukocytes in patients with COVID-19 compared to patients without COVID-19, and this difference was related to CD4(+) T cells. Two clusters were identified by unsupervised clustering, m(6)A cluster A characterized by T cell activation had a higher prognosis than m(6)A cluster B. Elevated metabolism level, blockage of the immune checkpoint, and lower level of m6A score were observed in m(6)A cluster B. A protective model was constructed based on nine selected genes and it exhibited an excellent predictive value in COVID-19. Further analysis revealed that the protective score was positively correlated to HFD45 and ventilator-free days, while negatively correlated to SOFA score, APACHE-II score, and crp. Our works systematically depicted a complicated correlation between m(6)A methylation modification and host lymphocytes in patients infected with SARS-CoV-2 and provided a well-performing model to predict the patients' outcomes. |Adenosine/*analogs & derivatives/metabolism[MESH] |COVID-19/*immunology/*virology[MESH] |Cluster Analysis[MESH] |Computational Biology/methods[MESH] |Disease Susceptibility/immunology[MESH] |Gene Expression Profiling[MESH] |Host-Pathogen Interactions/*immunology[MESH] |Humans[MESH] |Leukocytes/*immunology/metabolism[MESH] |RNA, Viral/*genetics/metabolism[MESH] |ROC Curve[MESH]m(6)A Regulator-Mediated Methylation Modification Patterns and Charact(epmc).pdf DeepDyve Pubget Overpricing