The cell cloud: Adopting systems biology concepts in the era of single-cell immunology
High-throughput single-cell assays reveal data that defies discrete categorization. The 'cell cloud' model, grounded in established systems biology principles, offers a framework to navigate biological plasticity alongside technical variability.
Authors
- Tal Shay (ORCID: https://orcid.org/0000-0003-0755-1350)
- Christophe Benoıst (ORCID: https://orcid.org/0000-0003-1172-6555)
- Ricardo Grieshaber‐Bouyer (ORCID: https://orcid.org/0000-0002-2873-5135)
Institutions
- Ben-Gurion University of the Negev (IL)
- Harvard University (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Universitätsklinikum Erlangen (DE)
- Center for Genomic Science (IT)
Publication Details
- Journal
- PLoS Biology
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1371/journal.pbio.3003853
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Lupus Research Alliance
- Deutsche Forschungsgemeinschaft
- Else Kröner-Fresenius-Stiftung
- Boehringer Ingelheim Stiftung