Microscale combinatorial stimulation of human myeloid cells reveals inflammatory priming by viral ligands

Basic information
Cell
10,135

Technology
10X Genomics
StimDrop
Omics
scRNA-seq
Source
PBMCs

Dataset ID
36827376
Platform
Illumina NextSeq 500
Species
Human
Disease
Healthy
Age range
0 - 0
Update date
2023-02-24
Summary

Cells sense a wide variety of signals and respond by adopting complex transcriptional states. Most single-cell profiling is carried out today at cellular baseline, blind to cells' potential spectrum of functional responses. Exploring the space of cellular responses experimentally requires access to a large combinatorial perturbation space. Single-cell genomics coupled with multiplexing techniques provide a useful tool for characterizing cell states across several experimental conditions. However, current multiplexing strategies require programmatic handling of many samples in macroscale arrayed formats, precluding their application in large-scale combinatorial analysis. Here, we introduce StimDrop, a method that combines antibody-based cell barcoding with parallel droplet processing to automatically formulate cell population × stimulus combinations in a microfluidic device. We applied StimDrop to profile the effects of 512 sequential stimulation conditions on human dendritic cells. Our results demonstrate that priming with viral ligands potentiates hyperinflammatory responses to a second stimulus, and show transcriptional signatures consistent with this phenomenon in myeloid cells of patients with severe COVID-19.

Overall design

To be supplemented.

Contributors

Miguel Reyes†✉️, Nir Hacohen†✉️, Paul C. Blainey†✉️

Contact

msreyes@broadinstitute.org(Paul C Blainey)

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available