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Microscale combinatorial stimulation of human myeloid cells reveals inflammatory priming by viral ligands.
Reyes, Miguel; Leff, Samantha M; Gentili, Matteo; Hacohen, Nir; Blainey, Paul C.
Affiliation
  • Reyes M; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Leff SM; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Gentili M; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Hacohen N; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Blainey PC; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Sci Adv ; 9(8): eade5090, 2023 02 24.
Article in En | MEDLINE | ID: mdl-36827376
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Clinical_trials Limits: Humans Language: En Journal: Sci Adv Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Clinical_trials Limits: Humans Language: En Journal: Sci Adv Year: 2023 Document type: Article Affiliation country: