/TteK

Code for Jonsson*, Zhang*, et al, TteK (Granzyme K+ CD8 T cells), Science Translational Medicine, 2022: the core population of inflamed human tissue-associated CD8 T cells.

Primary LanguageJupyter Notebook

TteK (Granzyme K+ CD8 T cells): the core population of inflamed human tissue-associated CD8 T cells

Overview

This repo provides the Source code for our TteK paper. The published paper can be viewed and cited:

  • Jonsson, A.H.*, Zhang, F.*, Dunlap, G., Gomez-Rivas, E., Watts, G.F.M., Faust, H., Rupani, K., Rupani, K.V., Mears, J.R., Meednu, N., Wang, R., Keras, G., Coblyn J., Massarotti, E., Todd, D., Anolik, J.H., McDavid, A., AMP RA/SLE, Wei, K., Rao, D.A., Raychaudhuri, S.*, Brenner, M.B.*. Granzyme K+ CD8 T cells form a core population in inflamed human tissue, Science Translational Medicine, 2022, Cover article!

*: co-first author

^: co-senior author

Data availibility

The raw and processed data of this study are available at:

  • GSE202365 Bulk RNA-seq of human synovial fluid CD8 T cells sorted by Granzyme B vs Granzyme K expression
  • GSE202366 Single-cell RNA-seq of CD8 T cells sorted from one sample of seropositive rheumatoid arthritis synovial fluid
  • GSE202367 Effect of T cell supernatants or cytokines on synovial fibroblasts
  • GSE202375 Pooled single-cell RNA-seq data from T cells from human synovial tissue

Contact

Send us (ajonsson@bwh.harvard.edu or fanzhang@broadinstitute.org) an email if you have any questions about the data or the analyses.