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10.1038/s41423-021-00754-0 http://scihub22266oqcxt.onion/10.1038/s41423-021-00754-0 34471261!8408367!34471261     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 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\34471261.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Cell+Mol+Immunol 2021 ; 18 (10): 2313-2324 Nephropedia Template TP {{tp|p=34471261|t=2021. Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |pdf=|usr=}}{{34471261}} gab.com Text Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection JO: Cell Mol Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34471261 #FOAvip In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pathogenic mechanisms at both the molecular and cellular levels. The recent development of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell transcriptomics, has enabled a fast and panoramic grasp of the pathogen and the disease. Here, we systematically reviewed the major advances in the virology, immunology, and pathogenic mechanisms of SARS-CoV-2 infection that have been achieved via multiomic technologies. Based on well-established cohorts, omics-based methods can greatly enhance the mechanistic understanding of diseases, contributing to the development of new diagnostics, drugs, and vaccines for emerging infectious diseases, such as COVID-19. Twit Text FOAVip Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection ????Cell Mol Immunol http://www.kidney.de/pget.php?&tw=1&pmid=34471261 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34471261 #FOAvip English Wikipedia <ref>{{Cite pmid|34471261}}</ref> Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection #MMPMID34471261 Wang X; Xu G; Liu X; Liu Y; Zhang S; Zhang Z Cell Mol Immunol 2021[Oct]; 18 (10): 2313-2324 PMID34471261show ga In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pathogenic mechanisms at both the molecular and cellular levels. The recent development of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell transcriptomics, has enabled a fast and panoramic grasp of the pathogen and the disease. Here, we systematically reviewed the major advances in the virology, immunology, and pathogenic mechanisms of SARS-CoV-2 infection that have been achieved via multiomic technologies. Based on well-established cohorts, omics-based methods can greatly enhance the mechanistic understanding of diseases, contributing to the development of new diagnostics, drugs, and vaccines for emerging infectious diseases, such as COVID-19. |*Genomics[MESH] |*Metabolomics[MESH] |COVID-19/*genetics/immunology/*metabolism/pathology[MESH] |Host-Pathogen Interactions[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2/physiology[MESH] |Single-Cell Analysis[MESH]Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infectio(epmc).pdf DeepDyve Pubget Overpricing