@article {69781,
	title = {Recovery of plasma membrane tension after a hyperosmotic shock.},
	journal = {Mol Biol Cell},
	year = {2025},
	month = {2025 Feb 19},
	pages = {mbcE24100436},
	abstract = {<p>Maintaining proper tension is critical for the organization and function of the plasma membrane. To study the mechanisms by which yeast restores normal plasma membrane tension, we used a microfluidics device to expose yeast to hyperosmotic conditions, which reduced cell volume and caused a \~{}20\% drop in cell surface area. The resulting low tension plasma membrane exhibited large clusters of negatively-charged glycerophospholipids together with nutrient transporters, suggesting phase segregation of the membrane. We found that endocytosis was blocked by the phase segregation and thus was not involved in removing excess membrane. In contrast, rapid recovery of plasma membrane tension was dependent on 1) eisosome morphology changes that were able to absorb most of the excess surface area and 2) lipid transport from the plasma membrane to the endoplasmic reticulum, where lipids were shunted into newly formed lipid droplets.</p>
},
	issn = {1939-4586},
	doi = {10.1091/mbc.E24-10-0436},
	author = {Phan, Jasmine and Silva, Malan and Kohlmeyer, Robin and Ruethemann, Romy and Gay, Lincoln and Jorgensen, Erik and Babst, Markus}
}
@article {69602,
	title = {Data Release: High-Resolution Imaging and Segmentation of P7 Mouse Tissue Microarchitecture Using FIB-SEM and Machine Learning},
	journal = {bioRxiv},
	year = {2024},
	month = {2024 Sep 07},
	abstract = {<p>This report presents a comprehensive data release exploring the tissue microarchitecture of P7 aged mice using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) combined with machine learning-based segmentations of nuclei. The study includes high-resolution 3D volumes and nucleus segmentations for seven vital tissues{\textemdash}pancreas, liver, kidney, heart, thymus, hippocampus, and skin{\textemdash}from a single mouse. The detailed datasets are openly accessible on OpenOrganelle.org, providing a valuable resource for the scientific community to support further research and collaboration.</p>
},
	doi = {10.1101/2024.09.05.611438},
	url = {https://www.doi.org/10.1101/2024.09.05.611438},
	author = {Ackerman, David and Avetissian, Emma and Bleck, Christopher K. E. and Bogovic, John A. and Innerberger, Michael and Korff, Wyatt and Li, Wei-Ping and Lu, Zhiyuan and Petruncio, Alyson and Preibisch, Stephan and Qiu, Wei and Jeff L Rhoades and Saalfeld, Stephan and Silva, Malan and Trautman, Eric T. and Vorimo, Rebecca and Weigel, Aubrey and Yu, Zhiheng and Zubov, Yurii and ,}
}
