Bridging single cells to organs: Mesoscale modules as fundamental units of tissue function
Recent studies at molecular and genomic scales have enriched our understanding of life's most fundamental building block: the cell. However, bridging the gap between single-cell phenotypes and the emergent functions of tissues and organs remains a formidable challenge. Here, we suggest that the conceptual span from cells to tissues and organs is so large as to warrant intermediate stepping stones. Drawing inspiration from "network motifs"-discrete units of cell-level function that emerge from the interactions of a handful of genes or enzymes-we argue that similarly identifiable units of tissue-level function, which we term "mesoscale modules," emerge from coordinated "interactions" among relatively small numbers of cells and their extracellular milieu. We outline several such modules and propose that a concerted effort to study them will deepen our foundational understanding of tissue and organ functions. By developing these mesoscale insights, we anticipate a more tractable and mechanistic approach to complex human conditions rooted in tissue- and organ-scale dysregulation, including developmental defects, cancer, cardiovascular disease, immune-related disorders, infectious disease, and aging.
Authors
- Rajan P. Kulkarni (ORCID: https://orcid.org/0000-0002-2191-4085)
- Arthur D. Lander (ORCID: https://orcid.org/0000-0002-4380-5525)
- Jeremy E. Purvis (ORCID: https://orcid.org/0000-0002-6963-0524)
- Ginger Hunter (ORCID: https://orcid.org/0000-0001-7022-9482)
- Pedro R. Löwenstein (ORCID: https://orcid.org/0000-0002-8427-4409)
- Ronald N. Germain (ORCID: https://orcid.org/0000-0003-1495-9143)
- Harikesh S. Wong (ORCID: https://orcid.org/0000-0003-0313-6600)
- Yun Chen (ORCID: https://orcid.org/0000-0001-6917-7814)
Institutions
- University of North Carolina at Chapel Hill (US)
- Howard University (US)
Publication Details
- Journal
- Cell
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1016/j.cell.2025.10.012
- Citations
- 5
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 4.03