A novel two-layer-integrated microfluidic device for high-throughput yeast proteomic dynamics analysis at the single-cell level

Chen, Kaiyue; Rong, Nan; Wang, Shujing; Luo, Chunxiong

doi:10.1093/intbio/zyaa018

A novel two-layer-integrated microfluidic device for high-throughput yeast proteomic dynamics analysis at the single-cell level

Journal Article · Tue Sep 29 00:00:00 EDT 2020 · Integrative Biology (Online)

DOI:https://doi.org/10.1093/intbio/zyaa018· OSTI ID:1668873

Chen, Kaiyue ^[1]; Rong, Nan ^[2]; Wang, Shujing ^[1]; Luo, Chunxiong ^[1]

The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, China, Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, China
Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, China

Abstract

Current microfluidic methods for studying multicell strains (e.g., m-types) with multienvironments (e.g., n-types) require large numbers of inlets/outlets (m*n), a complicated procedure or expensive machinery. Here, we developed a novel two-layer-integrated method to combine different PDMS microchannel layers with different functions into one chip by a PDMS through-hole array, which improved the design of a PDMS-based microfluidic system. Using this method, we succeeded in converting 2 × m × n inlets/outlets into m + n inlets/outlets and reduced the time cost of loading processing (from m × n to m) of the device for studying multicell strains (e.g., m-types) in varied multitemporal environments (i.e., n-types). Using this device, the dynamic behavior of the cell-stress-response proteins was studied when the glucose concentration decreased from 2% to a series of lower concentrations. Our device could also be widely used in high-throughput studies of various stress responses, and the new concept of a multilayer-integrated fabrication method could greatly improve the design of PDMS-based microfluidic systems.

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 1668873

Journal Information:: Integrative Biology (Online), Journal Name: Integrative Biology (Online) Journal Issue: 10 Vol. 12; ISSN 1757-9708

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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