Details

Autor(en) / Beteiligte

• Fischer, David S.
• Ansari, Meshal
• Wagner, Karolin I.
• Jarosch, Sebastian
• Huang, Yiqi
• Mayr, Christoph H.
• Strunz, Maximilian
• Lang, Niklas J.
• D’Ippolito, Elvira
• Hammel, Monika
• Mateyka, Laura
• Weber, Simone
• Wolff, Lisa S.
• Witter, Klaus
• Fernandez, Isis E.
• Leuschner, Gabriela
• Milger, Katrin
• Frankenberger, Marion
• Nowak, Lorenz
• Heinig-Menhard, Katharina
• Koch, Ina
• Stoleriu, Mircea G.
• Hilgendorff, Anne
• Behr, Jürgen
• Pichlmair, Andreas
• Schubert, Benjamin
• Theis, Fabian J.
• Busch, Dirk H.
• Schiller, Herbert B.
• Schober, Kilian

Titel

Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’

Ist Teil von

• Nature communications, 2021-07, Vol.12 (1), p.4515-14, Article 4515

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• 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. High resolution characterisation of the virus specific T cell response to SARS CoV2 provides further understanding to the immune response to the infection. Here the authors apply a reverse phenotyping approach to interrogate the SARS-CoV-2 T cell compartment at single cell resolution.”