Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4 + T cells
The contribution of CD4 + T cells to protective or pathogenic immune responses to SARS-CoV-2 infection remains unknown. Here, we present large-scale single-cell transcriptomic analysis of viral antigen-reactive CD4 + T cells from 32 COVID-19 patients. In patients with severe disease compared to mild disease, we found increased proportions of cytotoxic follicular helper (T FH ) cells and cytotoxic T helper cells (CD4-CTLs) responding to SARS-CoV-2, and reduced proportion of SARS-CoV-2 reactive regulatory T cells. Importantly, the CD4-CTLs were highly enriched for the expression of transcripts encoding chemokines that are involved in the recruitment of myeloid cells and dendritic cells to the sites of viral infection. Polyfunctional T helper (T H )1 cells and T H 17 cell subsets were underrepresented in the repertoire of SARS-CoV-2-reactive CD4 + T cells compared to influenza-reactive CD4 + T cells. Together, our analyses provide so far unprecedented insights into the gene expression patterns of SARS-CoV-2 reactive CD4 + T cells in distinct disease severities.
| Errataetall: | |
|---|---|
| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2020 |
|---|---|
| Enthalten in: |
bioRxiv : the preprint server for biology - (2020) vom: 13. Juni |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Meckiff, Benjamin J [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 27.10.2020 published: Electronic UpdateIn: Cell. 2020 Oct 5;:. - PMID 33096020 Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1101/2020.06.12.148916 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM311662439 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM311662439 | ||
| 003 | DE-627 | ||
| 005 | 20231225142730.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1101/2020.06.12.148916 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1038.xml |
| 035 | |a (DE-627)NLM311662439 | ||
| 035 | |a (NLM)32587963 | ||
| 035 | |a (PII)2020.06.12.148916 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Meckiff, Benjamin J |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4 + T cells |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 27.10.2020 | ||
| 500 | |a published: Electronic | ||
| 500 | |a UpdateIn: Cell. 2020 Oct 5;:. - PMID 33096020 | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a The contribution of CD4 + T cells to protective or pathogenic immune responses to SARS-CoV-2 infection remains unknown. Here, we present large-scale single-cell transcriptomic analysis of viral antigen-reactive CD4 + T cells from 32 COVID-19 patients. In patients with severe disease compared to mild disease, we found increased proportions of cytotoxic follicular helper (T FH ) cells and cytotoxic T helper cells (CD4-CTLs) responding to SARS-CoV-2, and reduced proportion of SARS-CoV-2 reactive regulatory T cells. Importantly, the CD4-CTLs were highly enriched for the expression of transcripts encoding chemokines that are involved in the recruitment of myeloid cells and dendritic cells to the sites of viral infection. Polyfunctional T helper (T H )1 cells and T H 17 cell subsets were underrepresented in the repertoire of SARS-CoV-2-reactive CD4 + T cells compared to influenza-reactive CD4 + T cells. Together, our analyses provide so far unprecedented insights into the gene expression patterns of SARS-CoV-2 reactive CD4 + T cells in distinct disease severities | ||
| 650 | 4 | |a Preprint | |
| 700 | 1 | |a Ramírez-Suástegui, Ciro |e verfasserin |4 aut | |
| 700 | 1 | |a Fajardo, Vicente |e verfasserin |4 aut | |
| 700 | 1 | |a Chee, Serena J |e verfasserin |4 aut | |
| 700 | 1 | |a Kusnadi, Anthony |e verfasserin |4 aut | |
| 700 | 1 | |a Simon, Hayley |e verfasserin |4 aut | |
| 700 | 1 | |a Grifoni, Alba |e verfasserin |4 aut | |
| 700 | 1 | |a Pelosi, Emanuela |e verfasserin |4 aut | |
| 700 | 1 | |a Weiskopf, Daniela |e verfasserin |4 aut | |
| 700 | 1 | |a Sette, Alessandro |e verfasserin |4 aut | |
| 700 | 1 | |a Ay, Ferhat |e verfasserin |4 aut | |
| 700 | 1 | |a Seumois, Grégory |e verfasserin |4 aut | |
| 700 | 1 | |a Ottensmeier, Christian H |e verfasserin |4 aut | |
| 700 | 1 | |a Vijayanand, Pandurangan |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t bioRxiv : the preprint server for biology |d 2020 |g (2020) vom: 13. Juni |w (DE-627)NLM31090014X |7 nnns |
| 773 | 1 | 8 | |g year:2020 |g day:13 |g month:06 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1101/2020.06.12.148916 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |j 2020 |b 13 |c 06 | ||