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10.1038/s41467-021-24730-4 http://scihub22266oqcxt.onion/10.1038/s41467-021-24730-4 34312385!8313584!34312385     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 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\34312385.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Commun 2021 ; 12 (1): 4515 Nephropedia Template TP {{tp|p=34312385|t=2021. Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through reverse phenotyping |pdf=|usr=}}{{34312385}} gab.com Text Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through reverse phenotyping JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=34312385 #FOAvip The in vivo phenotypic profile of T cells reactive to severe acute respiratory syndrome (SARS)-CoV-2 antigens remains poorly understood. Conventional methods to detect antigen-reactive T cells require in vitro antigenic re-stimulation or highly individualized peptide-human leukocyte antigen (pHLA) multimers. Here, we use single-cell RNA sequencing to identify and profile SARS-CoV-2-reactive T cells from Coronavirus Disease 2019 (COVID-19) patients. To do so, we induce transcriptional shifts by antigenic stimulation in vitro and take advantage of natural T cell receptor (TCR) sequences of clonally expanded T cells as barcodes for 'reverse phenotyping'. This allows identification of SARS-CoV-2-reactive TCRs and reveals phenotypic effects introduced by antigen-specific stimulation. We characterize transcriptional signatures of currently and previously activated SARS-CoV-2-reactive T cells, and show correspondence with phenotypes of T cells from the respiratory tract of patients with severe disease in the presence or absence of virus in independent cohorts. Reverse phenotyping is a powerful tool to provide an integrated insight into cellular states of SARS-CoV-2-reactive T cells across tissues and activation states. Twit Text FOAVip Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through reverse phenotyping ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=34312385 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34312385 #FOAvip English Wikipedia <ref>{{Cite pmid|34312385}}</ref> Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through reverse phenotyping #MMPMID34312385 Fischer DS; Ansari M; Wagner KI; Jarosch S; Huang Y; Mayr CH; Strunz M; Lang NJ; D'Ippolito E; Hammel M; Mateyka L; Weber S; Wolff LS; Witter K; Fernandez IE; Leuschner G; Milger K; Frankenberger M; Nowak L; Heinig-Menhard K; Koch I; Stoleriu MG; Hilgendorff A; Behr J; Pichlmair A; Schubert B; Theis FJ; Busch DH; Schiller HB; Schober K Nat Commun 2021[Jul]; 12 (1): 4515 PMID34312385show ga The in vivo phenotypic profile of T cells reactive to severe acute respiratory syndrome (SARS)-CoV-2 antigens remains poorly understood. Conventional methods to detect antigen-reactive T cells require in vitro antigenic re-stimulation or highly individualized peptide-human leukocyte antigen (pHLA) multimers. Here, we use single-cell RNA sequencing to identify and profile SARS-CoV-2-reactive T cells from Coronavirus Disease 2019 (COVID-19) patients. To do so, we induce transcriptional shifts by antigenic stimulation in vitro and take advantage of natural T cell receptor (TCR) sequences of clonally expanded T cells as barcodes for 'reverse phenotyping'. This allows identification of SARS-CoV-2-reactive TCRs and reveals phenotypic effects introduced by antigen-specific stimulation. We characterize transcriptional signatures of currently and previously activated SARS-CoV-2-reactive T cells, and show correspondence with phenotypes of T cells from the respiratory tract of patients with severe disease in the presence or absence of virus in independent cohorts. Reverse phenotyping is a powerful tool to provide an integrated insight into cellular states of SARS-CoV-2-reactive T cells across tissues and activation states. |Aged[MESH] |Aged, 80 and over[MESH] |CD4-Positive T-Lymphocytes/metabolism/virology[MESH] |COVID-19/epidemiology/*immunology/virology[MESH] |Cells, Cultured[MESH] |Cohort Studies[MESH] |Female[MESH] |Gene Expression Profiling/*methods[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Receptors, Antigen, T-Cell/genetics/immunology/metabolism[MESH] |SARS-CoV-2/physiology[MESH] |Sequence Analysis, RNA/*methods[MESH] |Single-Cell Analysis/*methods[MESH]Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-re(epmc).pdf DeepDyve Pubget Overpricing