Abstract
Single-cell gene expression reveals the diversity within a differentiated cell type. Often, cells of the same type show a continuum of gene-expression patterns. The origin of such continuum gene-expression patterns is unclear. To address this, we develop a theory to understand how a continuum provides division of labor in a tissue in which cells collectively contribute to several tasks. We find that a continuum is optimal when there are spatial gradients in the tissue that affect the performance in each task. The continuum is bounded inside a polyhedron whose vertices are expression profiles optimal at each task. We test this using single-cell gene expression for intestinal villi and liver hepatocytes, which form a curved 1D trajectory and a full 3D tetrahedron in gene-expression space, respectively. We infer the tasks for both cell types and characterize the spatial zonation of the task-specialist cells. This approach can be generally applied to other tissues.
| Original language | English |
|---|---|
| Pages (from-to) | 43-52.e5 |
| Journal | Cell Systems |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - 23 Jan 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Inc.
Keywords
- dimensionality reduction
- enterocytes
- liver lobule
- multi-objective optimality
- pareto-optimality
- single-cell RNA-seq
- single-cell transcriptomics
- systems biology
- tissue biology
ASJC Scopus subject areas
- Pathology and Forensic Medicine
- Histology
- Cell Biology