PUBLICATION

Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms

Authors
Liu, T.L., Upadhyayula, S., Milkie, D.E., Singh, V., Wang, K., Swinburne, I.A., Mosaliganti, K.R., Collins, Z.M., Hiscock, T.W., Shea, J., Kohrman, A.Q., Medwig, T.N., Dambournet, D., Forster, R., Cunniff, B., Ruan, Y., Yashiro, H., Scholpp, S., Meyerowitz, E.M., Hockemeyer, D., Drubin, D.G., Martin, B.L., Matus, D.Q., Koyama, M., Megason, S.G., Kirchhausen, T., Betzig, E.
ID
ZDB-PUB-180626-11
Date
2018
Source
Science (New York, N.Y.)   360(6386): (Journal)
Registered Authors
Martin, Benjamin, Megason, Sean, Mosaliganti, Kishore, Scholpp, Steffen, Swinburne, Ian, Wang, Kai
Keywords
none
MeSH Terms
  • Animals
  • Cell Movement
  • Endocytosis
  • Eye/ultrastructure
  • Humans
  • Imaging, Three-Dimensional/methods*
  • Microscopy/methods*
  • Mitosis
  • Organelles
  • Single-Cell Analysis
  • Zebrafish
PubMed
29674564 Full text @ Science
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.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping