Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data-Reference-Cited by-同舟云学术

Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data

Published:2020-09-04 Issue:36 Volume:6 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Wang Weikang¹^ORCID,Douglas Diana²,Zhang Jingyu¹,Kumari Sangeeta²,Enuameh Metewo Selase²,Dai Yan¹,Wallace Callen T.³^ORCID,Watkins Simon C.³^ORCID,Shu Weiguo²,Xing Jianhua¹⁴⁵^ORCID

Affiliation:

1. Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15232, USA.

2. ATCC Cell Systems, Gaithersburg, MD 20877, USA.

3. Department of Cell Biology, University of Pittsburgh, Pittsburgh, PA 15232, USA.

4. UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.

5. Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15232, USA.

Abstract

Live-cell imaging in multidimensional feature space reveals parallel transition paths of epithelial-to-mesenchymal transition.

Funder

National Science Foundation

National Institutes of Health

National Cancer Institute

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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4. Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle

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