Gene expression in cytokine-polarized CD4+ T cells

Figure 1.A. - Overview of the experimental design
Figure 1.B. - Graphical representation of conclusion of paper

This page contains the data generated in the study "Single-cell transcriptomics identifies an effectorness gradient shaping the response of CD4+ T cells to cytokines". For a detailed explanation of the study and the approaches for data generation, please refer to our publication:

Cano-Gamez et al, 2020

Read the press release

Count tables

  • Bulk RNA-sequencing: Raw counts per gene per sample obtained from RNA-sequencing and feature quantification (i.e. STAR and featureCounts)
  • Quantitative proteomics: Relative protein abundances per gene per sample as inferred from mass spectrometry (LC-MS/MS)
  • Single-cell RNA-sequencing: UMI counts per gene per cell obtained scRNA-seq (10X 3’ v2) and feature quantification (i.e. cellranger)

Data visualisations and interactive web applications


For further information about the project or the datasets listed above, please contact us at helpdesk@opentargets.org.