Literature DB >> 21189468

Improved visualization and quantitative analysis of drug effects using micropatterned cells.

Sébastien Degot1, Muriel Auzan, Violaine Chapuis, Anne Béghin, Amélie Chadeyras, Constantin Nelep, Maria Luisa Calvo-Muñoz, Joanne Young, François Chatelain, Alexandra Fuchs.   

Abstract

To date, most HCA (High Content Analysis) studies are carried out with adherent cell lines grown on a homogenous substrate in tissue-culture treated micro-plates. Under these conditions, cells spread and divide in all directions resulting in an inherent variability in cell shape, morphology and behavior. The high cell-to-cell variance of the overall population impedes the success of HCA, especially for drug development. The ability of micropatterns to normalize the shape and internal polarity of every individual cell provides a tremendous opportunity for solving this critical bottleneck (1-2). To facilitate access and use of the micropatterning technology, CYTOO has developed a range of ready to use micropatterns, available in coverslip and microwell formats. In this video article, we provide detailed protocols of all the procedures from cell seeding on CYTOOchip micropatterns, drug treatment, fixation and staining to automated acquisition, automated image processing and final data analysis. With this example, we illustrate how micropatterns can facilitate cell-based assays. Alterations of the cell cytoskeleton are difficult to quantify in cells cultured on homogenous substrates, but culturing cells on micropatterns results in a reproducible organization of the actin meshwork due to systematic positioning of the cell adhesion contacts in every cell. Such normalization of the intracellular architecture allows quantification of even small effects on the actin cytoskeleton as demonstrated in these set of protocols using blebbistatin, an inhibitor of the actin-myosin interaction.

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Year:  2010        PMID: 21189468      PMCID: PMC3159674          DOI: 10.3791/2514

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


  13 in total

1.  Probabilistic density maps to study global endomembrane organization.

Authors:  Kristine Schauer; Tarn Duong; Kevin Bleakley; Sabine Bardin; Michel Bornens; Bruno Goud
Journal:  Nat Methods       Date:  2010-05-30       Impact factor: 28.547

2.  The extracellular matrix guides the orientation of the cell division axis.

Authors:  Manuel Théry; Victor Racine; Anne Pépin; Matthieu Piel; Yong Chen; Jean-Baptiste Sibarita; Michel Bornens
Journal:  Nat Cell Biol       Date:  2005-09-18       Impact factor: 28.824

3.  Emergent patterns of growth controlled by multicellular form and mechanics.

Authors:  Celeste M Nelson; Ronald P Jean; John L Tan; Wendy F Liu; Nathan J Sniadecki; Alexander A Spector; Christopher S Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-27       Impact factor: 11.205

4.  Anisotropy of cell adhesive microenvironment governs cell internal organization and orientation of polarity.

Authors:  Manuel Théry; Victor Racine; Matthieu Piel; Anne Pépin; Ariane Dimitrov; Yong Chen; Jean-Baptiste Sibarita; Michel Bornens
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-18       Impact factor: 11.205

5.  Cell distribution of stress fibres in response to the geometry of the adhesive environment.

Authors:  Manuel Théry; Anne Pépin; Emilie Dressaire; Yong Chen; Michel Bornens
Journal:  Cell Motil Cytoskeleton       Date:  2006-06

6.  Experimental and theoretical study of mitotic spindle orientation.

Authors:  Manuel Théry; Andrea Jiménez-Dalmaroni; Victor Racine; Michel Bornens; Frank Jülicher
Journal:  Nature       Date:  2007-05-09       Impact factor: 49.962

7.  Filamentous network mechanics and active contractility determine cell and tissue shape.

Authors:  Ilka B Bischofs; Franziska Klein; Dirk Lehnert; Martin Bastmeyer; Ulrich S Schwarz
Journal:  Biophys J       Date:  2008-07-03       Impact factor: 4.033

8.  Geometric control of cell life and death.

Authors:  C S Chen; M Mrksich; S Huang; G M Whitesides; D E Ingber
Journal:  Science       Date:  1997-05-30       Impact factor: 47.728

9.  Mechanisms to suppress multipolar divisions in cancer cells with extra centrosomes.

Authors:  Mijung Kwon; Susana A Godinho; Namrata S Chandhok; Neil J Ganem; Ammar Azioune; Manuel Thery; David Pellman
Journal:  Genes Dev       Date:  2008-07-28       Impact factor: 11.361

10.  Classical cadherins control nucleus and centrosome position and cell polarity.

Authors:  Isabelle Dupin; Emeline Camand; Sandrine Etienne-Manneville
Journal:  J Cell Biol       Date:  2009-06-01       Impact factor: 10.539

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  5 in total

1.  Convergence of Highly Resolved and Rapid Screening Platforms with Dynamically Engineered, Cell Phenotype-Prescriptive Biomaterials.

Authors:  Neal K Bennett; Anandika Dhaliwal; Prabhas V Moghe
Journal:  Curr Pharmacol Rep       Date:  2016-03-18

2.  Photopatterning Proteins and Cells in Aqueous Environment Using TiO2 Photocatalysis.

Authors:  Hideaki Yamamoto; Takanori Demura; Kohei Sekine; Sho Kono; Michio Niwano; Ayumi Hirano-Iwata; Takashi Tanii
Journal:  J Vis Exp       Date:  2015-10-26       Impact factor: 1.355

3.  Rab18 regulates focal adhesion dynamics by interacting with kinectin-1 at the endoplasmic reticulum.

Authors:  Noemi Antonella Guadagno; Azzurra Margiotta; Synne Arstad Bjørnestad; Linda Hofstad Haugen; Ingrid Kjos; Xiaochun Xu; Xian Hu; Oddmund Bakke; Felix Margadant; Cinzia Progida
Journal:  J Cell Biol       Date:  2020-07-06       Impact factor: 10.539

4.  Statistical organelle dissection of Arabidopsis guard cells using image database LIPS.

Authors:  Takumi Higaki; Natsumaro Kutsuna; Yoichiroh Hosokawa; Kae Akita; Kazuo Ebine; Takashi Ueda; Noriaki Kondo; Seiichiro Hasezawa
Journal:  Sci Rep       Date:  2012-05-11       Impact factor: 4.379

5.  Detection and tracking of overlapping cell nuclei for large scale mitosis analyses.

Authors:  Yingbo Li; France Rose; Florencia di Pietro; Xavier Morin; Auguste Genovesio
Journal:  BMC Bioinformatics       Date:  2016-04-26       Impact factor: 3.169

  5 in total

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