mTor limits autophagy to facilitate cell volume expansion and rapid wound repair in Drosophila embryos.

Embryonic wounds repair rapidly, with no inflammation or scarring. Embryonic wound healing is driven by collective cell movements facilitated by the increase in the volume of the cells adjacent to the wound. The mechanistic target of rapamycin (mTor) complex 1 (TORC1) is associated with cell growth.

Should I shrink or should I grow: cell size changes in tissue morphogenesis.

Cells change shape, move, divide, and die to sculpt tissues. Common to all these cell behaviours are cell size changes, which have recently emerged as key contributors to tissue morphogenesis. Cells can change their mass-the number of macromolecules they contain-or their volume-the space they encompass.

Cortical tension promotes Kibra degradation via Par-1.

The Hippo pathway is an evolutionarily conserved regulator of tissue growth. Multiple Hippo signaling components are regulated via proteolytic degradation. However, how these degradation mechanisms are themselves modulated remains unexplored.

p38-mediated cell growth and survival drive rapid embryonic wound repair.

Embryos repair wounds rapidly, with no inflammation or scarring, in a process that involves polarization of the actomyosin cytoskeleton. Actomyosin polarization results in the assembly of a contractile cable around the wound that drives wound closure. Here, we demonstrate that a contractile actomyosin cable is not sufficient for rapid wound repair in Drosophila embryos.

PyJAMAS: open-source, multimodal segmentation and analysis of microscopy images.

Summary: Our increasing ability to resolve fine details using light microscopy is matched by an increasing need to quantify images in order to detect and measure phenotypes. Despite their central role in cell biology, many image analysis tools require a financial investment, are released as proprietary software, or are implemented in languages not friendly for beginners, and thus are used as black boxes. To overcome these limitations, we have developed PyJAMAS, an open-source tool for image processing and analysis written in Python.