High-Throughput Microfluidics Platform for Intracellular Delivery and Sampling of Biomolecules from Live Cells

被引:14
|
作者
Patino, Cesar A. [1 ]
Mukherjee, Prithvijit [1 ,2 ]
Berns, Eric J. [3 ]
Moully, Elamar Hakim [4 ]
Stan, Liliana [5 ]
Mrksich, Milan [3 ,4 ,6 ]
Espinosa, Horacio D. [1 ,2 ,3 ]
机构
[1] Northwestern Univ, Dept Mech Engn, Evanston, IL 60208 USA
[2] Northwestern Univ, Theoret & Appl Mech Program, Evanston, IL 60208 USA
[3] Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA
[4] Northwestern Univ, Dept Chem, Evanston, IL 60208 USA
[5] Argonne Natl Lab, Ctr Nanoscale Mat, Argonne, IL 60439 USA
[6] Northwestern Univ, Dept Cell & Dev Biol, Chicago, IL 60611 USA
基金
美国国家卫生研究院;
关键词
cell sampling; deep learning; electroporation; enzymatic activity; intracellular delivery; microfluidics; ELECTROPORATION; EXPRESSION; STRATEGIES; DIFFERENTIATION; PROTEINS;
D O I
10.1021/acsnano.2c00698
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Nondestructive cell membrane permeabilization systems enable the intracellular delivery of exogenous biomolecules for cell engineering tasks as well as the temporal sampling of cytosolic contents from live cells for the analysis of dynamic processes. Here, we report a microwell array format live-cell analysis device (LCAD) that can perform localized-electroporation induced membrane permeabilization, for cellular delivery or sampling, and directly interfaces with surface-based biosensors for analyzing the extracted contents. We demonstrate the capabilities of the LCAD via an automated high-throughput workflow for multimodal analysis of live-cell dynamics, consisting of quantitative measurements of enzyme activity using self-assembled monolayers for MALDI mass spectrometry (SAMDI) and deep-learning enhanced imaging and analysis. By combining a fabrication protocol that enables robust assembly and operation of multilayer devices with embedded gold electrodes and an automated imaging workflow, we successfully deliver functional molecules (plasmid and siRNA) into live cells at multiple time-points and track their effect on gene expression and cell morphology temporally. Furthermore, we report sampling performance enhancements, achieving saturation levels of protein tyrosine phosphatase activity measured from as few as 60 cells, and demonstrate control over the amount of sampled contents by optimization of electroporation parameters using a lumped model. Lastly, we investigate the implications of cell morphology on electroporation-induced sampling of fluorescent molecules using a deep-learning enhanced image analysis workflow.
引用
收藏
页码:7937 / 7946
页数:10
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