Literature DB >> 19711444

Differentiation of neural progenitor cells in a microfluidic chip-generated cytokine gradient.

Joong Yull Park1, Suel-Kee Kim, Dong-Hun Woo, Eun-Joong Lee, Jong-Hoon Kim, Sang-Hoon Lee.   

Abstract

In early embryonic development, spatial gradients of diffusible signaling molecules play important roles in controlling differentiation of cell types or arrays in diverse tissues. Thus, the concentration of exogenous cytokines or growth factors at any given time is crucial to the formation of an enriched population of a desired cell type from primitive stem cells in vitro. Microfluidic technology has proven very useful in the creation of cell-friendly microenvironments. Such techniques are, however, currently limited to a few cell types. Improved versatility is required if these systems are to become practically applicable to stem cells showing various plasticity ranges. Here, we built a microfluidic platform in which cells can be exposed to stable concentration gradients of various signaling molecules for more than a week with only minimal handling and no external power source. To maintain stability of the gradient concentration, the osmotic pumping performance was optimized by balancing the capillary action and hydraulic pressure in the inlet reagent reservoirs. We cultured an enriched population of neural progenitors derived from human embryonic stem cells in our microfluidic chamber for 8 days under continuous cytokine gradients (sonic hedgehog, fibroblast growth factor 8, and bone morphogenetic protein 4). Neural progenitors successfully differentiated into neurons, generating a complex neural network. The average numbers of both neuronal cell body clusters and neurite bundles were directly proportional to sonic hedgehog concentrations in the gradient chip. The system was shown to be useful for both basic and translational research, with straightforward mechanisms and operational schemes.

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Year:  2009        PMID: 19711444     DOI: 10.1002/stem.202

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  46 in total

1.  Engineering tissue with BioMEMS.

Authors:  Jeffrey T Borenstein; Gordana Vunjak-Novakovic
Journal:  IEEE Pulse       Date:  2011-11       Impact factor: 0.924

Review 2.  Concise Review: Stem Cell Microenvironment on a Chip: Current Technologies for Tissue Engineering and Stem Cell Biology.

Authors:  DoYeun Park; Jaeho Lim; Joong Yull Park; Sang-Hoon Lee
Journal:  Stem Cells Transl Med       Date:  2015-10-08       Impact factor: 6.940

Review 3.  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 4.  Microfluidic devices for cell cultivation and proliferation.

Authors:  Masoomeh Tehranirokh; Abbas Z Kouzani; Paul S Francis; Jagat R Kanwar
Journal:  Biomicrofluidics       Date:  2013-10-29       Impact factor: 2.800

5.  A pumpless body-on-a-chip model using a primary culture of human intestinal cells and a 3D culture of liver cells.

Authors:  Huanhuan Joyce Chen; Paula Miller; Michael L Shuler
Journal:  Lab Chip       Date:  2018-07-10       Impact factor: 6.799

6.  In Vitro Microscale Models for Embryogenesis.

Authors:  Jennifer Rico-Varela; Dominic Ho; Leo Q Wan
Journal:  Adv Biosyst       Date:  2018-05-07

7.  Responses of endothelial cells to extremely slow flows.

Authors:  Joong Yull Park; Joshua B White; Natalie Walker; Chuan-Hsien Kuo; Wansik Cha; Mark E Meyerhoff; Shuichi Takayama
Journal:  Biomicrofluidics       Date:  2011-06-29       Impact factor: 2.800

Review 8.  Stem cells technology: a powerful tool behind new brain treatments.

Authors:  Lucienne N Duru; Zhenzhen Quan; Talal Jamil Qazi; Hong Qing
Journal:  Drug Deliv Transl Res       Date:  2018-10       Impact factor: 4.617

Review 9.  Microfluidic systems for stem cell-based neural tissue engineering.

Authors:  Mahdi Karimi; Sajad Bahrami; Hamed Mirshekari; Seyed Masoud Moosavi Basri; Amirala Bakhshian Nik; Amir R Aref; Mohsen Akbari; Michael R Hamblin
Journal:  Lab Chip       Date:  2016-07-05       Impact factor: 6.799

10.  Simultaneous or Sequential Orthogonal Gradient Formation in a 3D Cell Culture Microfluidic Platform.

Authors:  Sebastien G M Uzel; Ovid C Amadi; Taylor M Pearl; Richard T Lee; Peter T C So; Roger D Kamm
Journal:  Small       Date:  2015-11-30       Impact factor: 13.281

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