| Literature DB >> 29674564 |
Tsung-Li Liu1, Srigokul Upadhyayula1,2,3,4, Daniel E Milkie1, Ved Singh1, Kai Wang1, Ian A Swinburne5, Kishore R Mosaliganti5, Zach M Collins5, Tom W Hiscock5, Jamien Shea1, Abraham Q Kohrman6, Taylor N Medwig6, Daphne Dambournet7, Ryan Forster7, Brian Cunniff2,3, Yuan Ruan8, Hanako Yashiro8, Steffen Scholpp9,10, Elliot M Meyerowitz8, Dirk Hockemeyer7, David G Drubin7, Benjamin L Martin6, David Q Matus6, Minoru Koyama1, Sean G Megason5, Tom Kirchhausen1,2,3,4, Eric Betzig11.
Abstract
True physiological imaging of subcellular dynamics requires studying cells within their parent organisms, where all the environmental cues that drive gene expression, and hence the phenotypes that we actually observe, are present. A complete understanding also requires volumetric imaging of the cell and its surroundings at high spatiotemporal resolution, without inducing undue stress on either. We combined lattice light-sheet microscopy with adaptive optics to achieve, across large multicellular volumes, noninvasive aberration-free imaging of subcellular processes, including endocytosis, organelle remodeling during mitosis, and the migration of axons, immune cells, and metastatic cancer cells in vivo. The technology reveals the phenotypic diversity within cells across different organisms and developmental stages and may offer insights into how cells harness their intrinsic variability to adapt to different physiological environments.Entities:
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Year: 2018 PMID: 29674564 PMCID: PMC6040645 DOI: 10.1126/science.aaq1392
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728