Do you want to know how your favourite gene(s) expression changes in activated CD4 T cells? Check it in our dataset!

We isolated memory and naive CD4 T cells from 119 individuals, activated them and analysed their gene expression by scRNAseq. We examined these two types of CD4 T cells before (0h) and at several time points (16h, 40h, 5days) after activation.

Visualise and download expression values, averaged by cell type, experimental time point and activation trajectory bin.

You can also visualise and download gene expression on single cell  level.

Full description of the experiment in our paper:
Immune disease risk variants regulate gene expression dynamics during CD4+ T cell activation Read paper

Study authors:

Blagoje Soskic^1,2*, Eddie Cano-Gamez^1,2*,

Deborah J. Smyth^1,2*, Kirsty Ambridge¹, Ziying Ke¹, Lara Bossini-Castillo¹, Joanna Kaplanis ^1,2, Lucia Ramirez-Navarro¹,Julie Matte ¹, Anna Lorenc¹, Nikolina Nakic³, Jorge Esparza-Gordillo³, Wendy Rowan³, David Wille³, David F. Tough³, Paola G. Bronson⁴, Gosia Trynka^1,2

1. Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
2. Open Targets, Wellcome Genome Campus, Hinxton, UK
3. GSK, R&D, Stevenage, UK
4. R&D Translational Biology, Biogen, Cambridge, MA, USA

* These authors contributed equally to this work