Literature DB >> 29286363

Mammalian Cell Division in 3D Matrices via Quantitative Confocal Reflection Microscopy.

Lijuan He1, Alexandra Sneider2, Weitong Chen2, Michelle Karl2, Vishnu Prasath3, Pei-Hsun Wu1, Gunnar Mattson3, Denis Wirtz4.   

Abstract

The study of how mammalian cell division is regulated in a 3D environment remains largely unexplored despite its physiological relevance and therapeutic significance. Possible reasons for the lack of exploration are the experimental limitations and technical challenges that render the study of cell division in 3D culture inefficient. Here, we describe an imaging-based method to efficiently study mammalian cell division and cell-matrix interactions in 3D collagen matrices. Cells labeled with fluorescent H2B are synchronized using the combination of thymidine blocking and nocodazole treatment, followed by a mechanical shake-off technique. Synchronized cells are then embedded into a 3D collagen matrix. Cell division is monitored using live-cell microscopy. The deformation of collagen fibers during and after cell division, which is an indicator of cell-matrix interaction, can be monitored and quantified using quantitative confocal reflection microscopy. The method provides an efficient and general approach to study mammalian cell division and cell-matrix interactions in a physiologically relevant 3D environment. This approach not only provides novel insights into the molecular basis of the development of normal tissue and diseases, but also allows for the design of novel diagnostic and therapeutic approaches.

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Year:  2017        PMID: 29286363      PMCID: PMC5755517          DOI: 10.3791/56364

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  40 in total

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Authors:  Edina Komlodi-Pasztor; Dan L Sackett; Antonio Tito Fojo
Journal:  Clin Cancer Res       Date:  2012-01-01       Impact factor: 12.531

3.  The Arp2/3 complex mediates multigeneration dendritic protrusions for efficient 3-dimensional cancer cell migration.

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Journal:  FASEB J       Date:  2013-06-24       Impact factor: 5.191

4.  Revealing the cytoskeletal organization of invasive cancer cells in 3D.

Authors:  Sara Geraldo; Anthony Simon; Danijela M Vignjevic
Journal:  J Vis Exp       Date:  2013-10-26       Impact factor: 1.355

5.  Synchronization of HeLa cells.

Authors:  Hoi Tang Ma; Randy Y C Poon
Journal:  Methods Mol Biol       Date:  2011

6.  Taking cell-matrix adhesions to the third dimension.

Authors:  E Cukierman; R Pankov; D R Stevens; K M Yamada
Journal:  Science       Date:  2001-11-23       Impact factor: 47.728

7.  Imaging cells in three-dimensional collagen matrix.

Authors:  Vira V Artym; Kazue Matsumoto
Journal:  Curr Protoc Cell Biol       Date:  2010-09

8.  Phase II study of Triapine in patients with metastatic renal cell carcinoma: a trial of the National Cancer Institute of Canada Clinical Trials Group (NCIC IND.161).

Authors:  Jennifer J Knox; Sebastien J Hotte; Christian Kollmannsberger; Eric Winquist; Bryn Fisher; Elizabeth A Eisenhauer
Journal:  Invest New Drugs       Date:  2007-03-28       Impact factor: 3.850

9.  Three-dimensional matrix fiber alignment modulates cell migration and MT1-MMP utility by spatially and temporally directing protrusions.

Authors:  Stephanie I Fraley; Pei-Hsun Wu; Lijuan He; Yunfeng Feng; Ranjini Krisnamurthy; Gregory D Longmore; Denis Wirtz
Journal:  Sci Rep       Date:  2015-10-01       Impact factor: 4.379

10.  Contractile forces regulate cell division in three-dimensional environments.

Authors:  Ayelet Lesman; Jacob Notbohm; David A Tirrell; Guruswami Ravichandran
Journal:  J Cell Biol       Date:  2014-04-28       Impact factor: 10.539

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  3 in total

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Authors:  Rebecca A Moriarty; Kimberly M Stroka
Journal:  Cell Cycle       Date:  2018-10-20       Impact factor: 4.534

2.  A Feedback Loop between Hypoxia and Matrix Stress Relaxation Increases Oxygen-Axis Migration and Metastasis in Sarcoma.

Authors:  Daniel M Lewis; Hawley Pruitt; Nupur Jain; Mark Ciccaglione; J Michael McCaffery; Zhiyong Xia; Kristy Weber; T S Karin Eisinger-Mathason; Sharon Gerecht
Journal:  Cancer Res       Date:  2019-02-18       Impact factor: 12.701

3.  Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets.

Authors:  Estibaliz Gómez-de-Mariscal; Vanesa Guerrero; Alexandra Sneider; Hasini Jayatilaka; Jude M Phillip; Denis Wirtz; Arrate Muñoz-Barrutia
Journal:  Sci Rep       Date:  2021-10-22       Impact factor: 4.379

  3 in total

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