Literature DB >> 24786503

Visualizing spatiotemporal dynamics of multicellular cell-cycle progressions with fucci technology.

Asako Sakaue-Sawano, Atsushi Miyawaki.   

Abstract

The visualization of cell-cycle behavior of individual cells within complex tissues presents an irresistible challenge to biologists studying multicellular structures. However, the transition from G1 to S in the cell cycle is difficult to monitor despite the fact that the process involves the critical decision to initiate a new round of DNA replication. Here, we use ubiquitination oscillators that control cell-cycle transitions to develop genetically encoded fluorescent probes for cell-cycle progression. Fucci (fluorescent ubiquitination-based cell-cycle indicator) probes exploit the regulation of cell-cycle-dependent ubiquitination to effectively label individual nuclei in G1 phase red, and those in S/G2/M phases green. Cultured cells and transgenic mice constitutively expressing the probes have been generated, such that every cell nucleus shows either red or green fluorescence. This protocol details two experiments that use biological samples expressing Fucci probes. One experiment involves time-lapse imaging of cells stably expressing a Fucci derivative (Fucci2), which allows for the exploration of the spatiotemporal patterns of cell-cycle dynamics during structural and behavioral changes of cultured cells. The other experiment involves large-field, high-resolution imaging of fixed sections of Fucci transgenic mouse embryos, which provides maps that illustrate cell proliferation versus differentiation in various developing organs.

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Year:  2014        PMID: 24786503     DOI: 10.1101/pdb.prot080408

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  12 in total

1.  Cardiomyocyte cell cycle dynamics and proliferation revealed through cardiac-specific transgenesis of fluorescent ubiquitinated cell cycle indicator (FUCCI).

Authors:  Roberto Alvarez; Bingyan J Wang; Pearl J Quijada; Daniele Avitabile; Thi Ho; Maya Shaitrit; Monica Chavarria; Fareheh Firouzi; David Ebeid; Megan M Monsanto; Natalie Navarrete; Maryam Moshref; Sailay Siddiqi; Kathleen M Broughton; Barbara A Bailey; Natalie A Gude; Mark A Sussman
Journal:  J Mol Cell Cardiol       Date:  2018-12-18       Impact factor: 5.000

2.  Multiscale analysis of the murine intestine for modeling human diseases.

Authors:  Jesse Lyons; Charles A Herring; Amrita Banerjee; Alan J Simmons; Ken S Lau
Journal:  Integr Biol (Camb)       Date:  2015-07       Impact factor: 2.192

3.  New Biological Frontiers Illuminated by Molecular Sensors and Actuators.

Authors:  Katharina Gaus; Takanari Inoue
Journal:  Biophys J       Date:  2016-09-20       Impact factor: 4.033

Review 4.  Adult Cardiomyocyte Cell Cycle Detour: Off-ramp to Quiescent Destinations.

Authors:  Kathleen M Broughton; Mark A Sussman
Journal:  Trends Endocrinol Metab       Date:  2019-06-28       Impact factor: 12.015

5.  Cell-Cycle-Dependent ERK Signaling Dynamics Direct Fate Specification in the Mammalian Preimplantation Embryo.

Authors:  Michael J Pokrass; Kathleen A Ryan; Tianchi Xin; Brittany Pielstick; Winston Timp; Valentina Greco; Sergi Regot
Journal:  Dev Cell       Date:  2020-10-21       Impact factor: 12.270

6.  Live-cell time-lapse imaging and single-cell tracking of in vitro cultured neural stem cells - Tools for analyzing dynamics of cell cycle, migration, and lineage selection.

Authors:  Katja M Piltti; Brian J Cummings; Krystal Carta; Ayla Manughian-Peter; Colleen L Worne; Kulbir Singh; Danier Ong; Yuriy Maksymyuk; Michelle Khine; Aileen J Anderson
Journal:  Methods       Date:  2017-10-16       Impact factor: 3.608

Review 7.  Mathematics in modern immunology.

Authors:  Mario Castro; Grant Lythe; Carmen Molina-París; Ruy M Ribeiro
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

8.  Mathematical modelling reveals unexpected inheritance and variability patterns of cell cycle parameters in mammalian cells.

Authors:  Marzena Mura; Céline Feillet; Roberto Bertolusso; Franck Delaunay; Marek Kimmel
Journal:  PLoS Comput Biol       Date:  2019-06-03       Impact factor: 4.475

9.  Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images.

Authors:  Michael Chiang; Sam Hallman; Amanda Cinquin; Nabora Reyes de Mochel; Adrian Paz; Shimako Kawauchi; Anne L Calof; Ken W Cho; Charless C Fowlkes; Olivier Cinquin
Journal:  BMC Bioinformatics       Date:  2015-11-25       Impact factor: 3.169

10.  A machine learning approach for single cell interphase cell cycle staging.

Authors:  Hemaxi Narotamo; Maria Sofia Fernandes; Ana Margarida Moreira; Soraia Melo; Raquel Seruca; Margarida Silveira; João Miguel Sanches
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

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