Literature DB >> 22890848

Arrayed cellular environments for stem cells and regenerative medicine.

Drew M Titmarsh1, Huaying Chen, Ernst J Wolvetang, Justin J Cooper-White.   

Abstract

The behavior and composition of both multipotent and pluripotent stem cell populations are exquisitely controlled by a complex, spatiotemporally variable interplay of physico-chemical, extracellular matrix, cell-cell interaction, and soluble factor cues that collectively define the stem cell niche. The push for stem cell-based regenerative medicine models and therapies has fuelled demands for increasingly accurate cellular environmental control and enhanced experimental throughput, driving an evolution of cell culture platforms away from conventional culture formats toward integrated systems. Arrayed cellular environments typically provide a set of discrete experimental elements with variation of one or several classes of stimuli across elements of the array. These are based on high-content/high-throughput detection, small sample volumes, and multiplexing of environments to increase experimental parameter space, and can be used to address a range of biological processes at the cell population, single-cell, or subcellular level. Arrayed cellular environments have the capability to provide an unprecedented understanding of the molecular and cellular events that underlie expansion and specification of stem cell and therapeutic cell populations, and thus generate successful regenerative medicine outcomes. This review focuses on recent key developments of arrayed cellular environments and their contribution and potential in stem cells and regenerative medicine.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22890848     DOI: 10.1002/biot.201200149

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


  7 in total

Review 1.  Concise review: microfluidic technology platforms: poised to accelerate development and translation of stem cell-derived therapies.

Authors:  Drew M Titmarsh; Huaying Chen; Nick R Glass; Justin J Cooper-White
Journal:  Stem Cells Transl Med       Date:  2013-12-05       Impact factor: 6.940

Review 2.  High-throughput approaches for screening and analysis of cell behaviors.

Authors:  Jungmok Seo; Jung-Youn Shin; Jeroen Leijten; Oju Jeon; Gulden Camci-Unal; Anna D Dikina; Katelyn Brinegar; Amir M Ghaemmaghami; Eben Alsberg; Ali Khademhosseini
Journal:  Biomaterials       Date:  2017-06-21       Impact factor: 12.479

3.  Three-dimensional, soft neotissue arrays as high throughput platforms for the interrogation of engineered tissue environments.

Authors:  Michael Floren; Wei Tan
Journal:  Biomaterials       Date:  2015-05-15       Impact factor: 12.479

4.  High-Throughput Microfluidic Platform for 3D Cultures of Mesenchymal Stem Cells, Towards Engineering Developmental Processes.

Authors:  Paola Occhetta; Matteo Centola; Beatrice Tonnarelli; Alberto Redaelli; Ivan Martin; Marco Rasponi
Journal:  Sci Rep       Date:  2015-05-18       Impact factor: 4.379

5.  Multivariate patterning of human pluripotent cells under perfusion reveals critical roles of induced paracrine factors in kidney organoid development.

Authors:  Nick R Glass; Minoru Takasako; Pei Xuan Er; Drew M Titmarsh; Alejandro Hidalgo; Ernst J Wolvetang; Melissa H Little; Justin J Cooper-White
Journal:  Sci Adv       Date:  2020-01-08       Impact factor: 14.136

6.  Microbioreactor arrays for full factorial screening of exogenous and paracrine factors in human embryonic stem cell differentiation.

Authors:  Drew M Titmarsh; James E Hudson; Alejandro Hidalgo; Andrew G Elefanty; Edouard G Stanley; Ernst J Wolvetang; Justin J Cooper-White
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

7.  Induction of Human iPSC-Derived Cardiomyocyte Proliferation Revealed by Combinatorial Screening in High Density Microbioreactor Arrays.

Authors:  Drew M Titmarsh; Nick R Glass; Richard J Mills; Alejandro Hidalgo; Ernst J Wolvetang; Enzo R Porrello; James E Hudson; Justin J Cooper-White
Journal:  Sci Rep       Date:  2016-04-21       Impact factor: 4.379

  7 in total

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