Search bioRxiv⌕ Search

Biology subjects

Erez, M.

Publications and source records attributed to Erez, M..

2 recordsLinked to original sources

Self-Organization Through Local Cell-Cell Communication Drives Intestinal Epithelial Zonation

The intestinal epithelium exhibits zonated gene expression along the crypt-villus axis, with distinct transcriptional programs in enterocytes at the villus top versus bottom. However, the mechanisms establishing these spatial patterns remain unclear. Three models could explain zonation: external gradients, cell-intrinsic temporal programs, or local self-organization. Using spatial transcriptomics and perturbations of two-dimensional intestinal organoids, we show that zonation emerges via spontaneous self-organization without mesenchymal, neural, or vascular inputs. Cell-intrinsic models were eliminated by transplanting cells into established monolayers; transplanted cells progressively adopted zonation profiles matching their new location, with strongly zonated genes showing the greatest adaptive responses. Pharmacological inhibition of EphA2 receptors disrupted zonation, revealing a previously unknown role for epithelial EphA-ephrin-A signaling in regulating enterocyte zonation. These findings demonstrate that self-organization through local epithelial cell-cell communication generates spatial patterns independently of external positional cues or cell-autonomous programs.

systems biology↗

Neighborhood-Informed Positional Information for Precise Cell Identity Specification

During development cells reliably establish their identities, a process that is enabled in part by positional information encoded in gene expression patterns. Previous works showed that cells in Drosophila embryos can utilize this information to decode their position along the anterior-posterior axis with 1% accuracy. However, this precision is insufficient to uniquely determine position, leading to a positional information gap. Here, we propose a neighborhood-informed information-theoretic framework where cells integrate local gene expression information as well as information from neighboring cells. We formulate how much additional information exists in neighboring cells as a function of spatial variation in gene expression. In Drosophila embryos, we show that the additional information encoded by local neighborhoods is sufficient to uniquely specify cell identities, closing the information gap. Furthermore, neighborhood-informed decoders predict cell positions and downstream gene expression patterns more accurately than cell-independent decoders, resulting in lower decoding variability, which is maintained in mutant embryos. Our results provide a basis for the analysis of cellular decision making in the context of their microenvironments.

cell biology↗