Characterizing the molecular regulation of inhibitory immune checkpoints with multimodal single-cell screens.
Efthymia PapalexiEleni P MimitouAndrew W ButlerSamantha FosterBernadette BrackenWilliam M MauckHans-Hermann WesselsYuhan HaoBertrand Z YeungPeter SmibertRahul SatijaPublished in: Nature genetics (2021)
The expression of inhibitory immune checkpoint molecules, such as programmed death-ligand (PD-L)1, is frequently observed in human cancers and can lead to the suppression of T cell-mediated immune responses. Here, we apply expanded CRISPR-compatible (EC)CITE-seq, a technology that combines pooled CRISPR screens with single-cell mRNA and surface protein measurements, to explore the molecular networks that regulate PD-L1 expression. We also develop a computational framework, mixscape, that substantially improves the signal-to-noise ratio in single-cell perturbation screens by identifying and removing confounding sources of variation. Applying these tools, we identify and validate regulators of PD-L1 and leverage our multimodal data to identify both transcriptional and post-transcriptional modes of regulation. Specifically, we discover that the Kelch-like protein KEAP1 and the transcriptional activator NRF2 mediate the upregulation of PD-L1 after interferon (IFN)-γ stimulation. Our results identify a new mechanism for the regulation of immune checkpoints and present a powerful analytical framework for the analysis of multimodal single-cell perturbation screens.
Keyphrases
- single cell
- high throughput
- genome wide
- rna seq
- transcription factor
- immune response
- dna methylation
- gene expression
- pain management
- poor prognosis
- dendritic cells
- endothelial cells
- crispr cas
- binding protein
- genome editing
- protein protein
- oxidative stress
- signaling pathway
- heat shock
- cell proliferation
- air pollution
- long non coding rna
- electronic health record
- nuclear factor
- randomized controlled trial
- young adults
- single molecule
- machine learning
- induced pluripotent stem cells
- small molecule
- study protocol
- big data
- double blind
- pluripotent stem cells