Literature DB >> 22653826

Systematic approaches to dissect biological processes in stem cells by image-based screening.

Gerrit Erdmann1, Christian Volz, Michael Boutros.   

Abstract

High-throughput RNAi or small molecule screens have proven to be powerful methodologies for the systematic dissection of cellular processes. In model organisms and cell lines, large-scale screens have identified key components of many cellular pathways and helped to identify novel targets in disease-relevant pathways. Image-based high-content screening has become an increasingly important tool in high-throughput screening, enabling changes in phenotype characteristics, such as cell morphology and cell differentiation, to be monitored. In this review, we discuss the use of image-based screening approaches to explore the behavior of adult, embryonic, and induced pluripotent stem cells. First, we review how current pluripotency and differentiation assays can be adapted to high-throughput formats. We then describe general aspects of image-based screening of cells and present an outlook on challenges for screening stem cells.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2012        PMID: 22653826     DOI: 10.1002/biot.201200117

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  6 in total

1.  Functional fingerprinting of human mesenchymal stem cells using high-throughput RNAi screening.

Authors:  Gerrit Erdmann; Michael Suchanek; Patrick Horn; Fabian Graf; Christian Volz; Thomas Horn; Xian Zhang; Wolfgang Wagner; Anthony D Ho; Michael Boutros
Journal:  Genome Med       Date:  2015-05-17       Impact factor: 11.117

2.  Cell motion predicts human epidermal stemness.

Authors:  Daisuke Nanba; Fujio Toki; Sota Tate; Matome Imai; Natsuki Matsushita; Ken Shiraishi; Koji Sayama; Hiroshi Toki; Shigeki Higashiyama; Yann Barrandon
Journal:  J Cell Biol       Date:  2015-04-20       Impact factor: 10.539

3.  A novel machine learning based approach for iPS progenitor cell identification.

Authors:  Haishan Zhang; Ximing Shao; Yin Peng; Yanning Teng; Konda Mani Saravanan; Huiling Zhang; Hongchang Li; Yanjie Wei
Journal:  PLoS Comput Biol       Date:  2019-12-26       Impact factor: 4.475

4.  Fluorescence-based high-throughput functional profiling of ligand-gated ion channels at the level of single cells.

Authors:  Sahil Talwar; Joseph W Lynch; Daniel F Gilbert
Journal:  PLoS One       Date:  2013-03-08       Impact factor: 3.240

5.  Characterization of time-course morphological features for efficient prediction of osteogenic potential in human mesenchymal stem cells.

Authors:  Fumiko Matsuoka; Ichiro Takeuchi; Hideki Agata; Hideaki Kagami; Hirofumi Shiono; Yasujiro Kiyota; Hiroyuki Honda; Ryuji Kato
Journal:  Biotechnol Bioeng       Date:  2014-01-30       Impact factor: 4.530

6.  Automated collective motion analysis validates human keratinocyte stem cell cultures.

Authors:  Koji Kinoshita; Takuya Munesue; Fujio Toki; Masaharu Isshiki; Shigeki Higashiyama; Yann Barrandon; Emi K Nishimura; Yoshio Yanagihara; Daisuke Nanba
Journal:  Sci Rep       Date:  2019-12-10       Impact factor: 4.379

  6 in total

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