Automated Organization ProfileInstitute for Transplantation Diagnostics and Cell Therapeutics, University Hospital Düsseldorf, Düsseldorf, Germany
Institute for Transplantation Diagnostics and Cell Therapeutics, University Hospital Düsseldorf, Düsseldorf, Germany
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.5 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. We observed a population of exhausted CD8+ T cells in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NK-like CD8+ T cells in COVID-19 severity.
Authors
- Schreibing, Felix ;
- Hannani, Monica T ;
- Kim, Hyojin ;
- Nagai, James S ;
- Ticconi, Fabio ;
- Fewings, Eleanor ;
- Bleckwehl, Tore ;
- Begemann, Matthias ;
- Torow, Natalia ;
- Kuppe, Christoph ;
- Kurth, Ingo ;
- Hornef, W Mathias ;
- Kranz, Jennifer ;
- Frank, Dario ;
- Anslinger M Teresa ;
- Ziegler, Patrick ;
- Kraus, Thomas ;
- Enczmann, Juergen ;
- Balz, Vera ;
- Windhofer, Frank ;
- Balfanz, Paul ;
- Kurts, Christian ;
- Marx, Gernot ;
- Dreher, Michael ;
- Schneider, K Rebekka ;
- Saez-Rodriguez, Julio ;
- Costa, Ivan ;
- Hayat, Sikander ;
- Kramann, Rafael
SARS-CoV-2 infection results in varying disease severity, ranging from asymptomatic infection to severe illness. A detailed understanding of the immune response to SARS-CoV-2 is critical to unravel the causative factors underlying differences in disease severity and to develop optimal vaccines against new SARS-CoV-2 variants. We combined single-cell RNA and T cell receptor sequencing with CITE-seq antibodies to characterize the CD8+ T cell response to SARS-CoV-2 infection at high resolution and compared responses between mild and severe COVID-19. We observed a population of exhausted CD8+ T cells in severe SARS-CoV-2 infection and identified a population of NK-like, terminally differentiated CD8+ effector T cells characterized by expression of FCGR3A (encoding CD16). Further characterization of NK-like CD8+ T cells revealed heterogeneity among CD16+ NK-like CD8+ T cells and profound differences in cytotoxicity, exhaustion, and NK-like differentiation between mild and severe disease conditions. We propose a model in which differences in the surrounding inflammatory milieu lead to crucial differences in NK-like differentiation of CD8+ effector T cells, ultimately resulting in the appearance of NK-like CD8+ T cell populations of different functionality and pathogenicity. Our in-depth characterization of the CD8+ T cell-mediated response to SARS-CoV-2 infection provides a basis for further investigation of the importance of NK-like CD8+ T cells in COVID-19 severity.
Authors
- Schreibing, Felix ;
- Hannani, Monica T ;
- Kim, Hyojin ;
- Nagai, James S ;
- Ticconi, Fabio ;
- Fewings, Eleanor ;
- Bleckwehl, Tore ;
- Begemann, Matthias ;
- Torow, Natalia ;
- Kuppe, Christoph ;
- Kurth, Ingo ;
- Hornef, W Mathias ;
- Kranz, Jennifer ;
- Frank, Dario ;
- Anslinger M Teresa ;
- Ziegler, Patrick ;
- Kraus, Thomas ;
- Enczmann, Juergen ;
- Balz, Vera ;
- Windhofer, Frank ;
- Balfanz, Paul ;
- Kurts, Christian ;
- Marx, Gernot ;
- Dreher, Michael ;
- Schneider, K Rebekka ;
- Saez-Rodriguez, Julio ;
- Costa, Ivan ;
- Hayat, Sikander ;
- Kramann, Rafael
We provide the R object of the scRNA-seq data of CD8+ T cells used in the study. An R markdown is provided to show the UMAP, antibody derived tag (ADT) derived data, TCR seq information, and binding of Dextramer reagents carrying SARS-CoV-2-derived epitopes.
Authors
- Schreibing†, Felix ;
- Hannani†, Monica ;
- Ticconi, Fabio ;
- Fewings, Eleanor ;
- Nagai, James S ;
- Begemann, Matthias ;
- Kuppe, Christoph ;
- Kurth, Ingo ;
- Kranz, Jennifer ;
- Frank, Dario ;
- Anslinger, Teresa M ;
- Ziegler, Patrick ;
- Kraus, Thomas ;
- Enczmann, Jürgen ;
- Balz, Vera ;
- Windhofer, Frank ;
- Balfanz, Paul ;
- Kurts, Christian ;
- Marx, Gernot ;
- Marx, Nikolaus ;
- Dreher, Michael ;
- Schneider, Rebekka K ;
- Saez-Rodriguez, Julio ;
- Costa†, Ivan ;
- Kramann†, Rafael