A microfluidic trap array for longitudinal monitoring and multi-modal phenotypic analysis of individual stem cell aggregates.

A microfluidic trap array for longitudinal monitoring and multi-modal phenotypic analysis of individual stem cell aggregates.
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DOI:
10.1039/c7lc00763a
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发表时间:
2017-10-25
期刊:
影响因子:
6.1
通讯作者:
Lu H
Lu H
中科院分区:
工程技术1区
文献类型:
--
作者:
Jackson-Holmes EL;McDevitt TC;Lu H

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Three-dimensional pluripotent stem cell (PSC) cultures have the ability to undergo differentiation, self-organization, and morphogenesis to yield complex, in vitro tissue models that recapitulate key elements of native tissues. These tissue models offer a system for studying mechanisms of tissue development, investigating disease mechanisms, and performing drug screening. It remains challenging, however, to standardize PSC aggregate differentiation and morphogenesis methods due to heterogeneity stemming from biological and environmental sources. It is also difficult to monitor and assess large numbers of individual samples longitudinally throughout culture using typical batch-based culture methods. To address these challenges, we have developed a microfluidic platform for culture, longitudinal monitoring, and phenotypic analysis of individual stem cell aggregates. This platform uses a hydrodynamic loading principle to capture pre-formed stem cell aggregates in independent traps. We demonstrated that multi-day culture of aggregates in this platform reduces heterogeneity in phenotypic parameters such as size and morphology. Additionally, we showed that culture and analysis steps can be performed sequentially in the same platform, enabling correlation of multiple modes of analysis for individual samples. We anticipate this platform being applied to improve abilities for phenotypic analysis of PSC aggregate tissues and to facilitate research in standardizing culture systems in order to dually increase the yield and reduce the heterogeneity of PSC-derived tissues. We present a microfluidic platform for culture, longitudinal tracking, and imaging-based analysis of individual stem cell aggregates.
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