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Selective Single-Cell Sorting Using a Multisectorial Electroactive Nanowell Platform
ACS Nano ( IF 17.1 ) Pub Date : 2021-09-24 , DOI: 10.1021/acsnano.1c05668
Lukas Menze 1 , Pedro A Duarte 1 , Lacey Haddon 2 , Michael Chu 2 , Jie Chen 1
Affiliation  

Current approaches in targeted patient treatments often require the rapid isolation of specific rare target cells. Stream-based dielectrophoresis (DEP) based cell sorters have the limitation that the maximum number of sortable cell types is equivalent to the number of output channels, which makes upscaling to a higher number of different cell types technically challenging. Here, we present a microfluidic platform for selective single-cell sorting that bypasses this limitation. The platform consists of 10 000 nanoliter wells which are placed on top of interdigitated electrodes (IDEs) that facilitate dielectrophoresis-driven capture of cells. By use of a multisectorial design formed by 10 individually addressable IDE structures, our platform can capture a large number of different cell types. The sectorial approach allows for fast and straightforward modification to sort complex samples as different cell types are captured in different sectors and therefore removes the need for individual output channels per cell type. Experimental results obtained with a mixed sample of benign (MCF-10A) and malignant (MDA-MB-231) breast cells showed a target to nontarget sorting accuracy of over 95%. We envision that the high accuracy of our platform, in addition to its versatility and simplicity, will aid clinical environments where reliable sorting of varying complex samples is essential.

中文翻译:

使用多部门电活性纳米井平台进行选择性单细胞分选

当前针对患者的治疗方法通常需要快速分离特定的稀有靶细胞。基于流的介电泳 (DEP) 细胞分选器的局限性在于,可分选细胞类型的最大数量等于输出通道的数量,这使得升级到更多不同细胞类型在技术上具有挑战性。在这里,我们提出了一种用于绕过此限制的选择性单细胞分选的微流体平台。该平台由 10000 纳升孔组成,这些孔放置在叉指电极 (IDE) 的顶部,有助于介电泳驱动的细胞捕获。通过使用由 10 个可单独寻址的 IDE 结构组成的多部门设计,我们的平台可以捕获大量不同的细胞类型。扇区方法允许快速和直接修改以对复杂样本进行排序,因为在不同扇区中捕获了不同的细胞类型,因此消除了对每个细胞类型的单独输出通道的需要。使用良性 (MCF-10A) 和恶性 (MDA-MB-231) 乳腺细胞混合样本获得的实验结果表明,目标与非目标分选准确度超过 95%。我们设想,除了多功能性和简单性之外,我们平台的高精度将有助于对各种复杂样本进行可靠分类至关重要的临床环境。使用良性 (MCF-10A) 和恶性 (MDA-MB-231) 乳腺细胞混合样本获得的实验结果表明,目标与非目标分选准确度超过 95%。我们设想,除了多功能性和简单性之外,我们平台的高精度将有助于对各种复杂样本进行可靠分类至关重要的临床环境。使用良性 (MCF-10A) 和恶性 (MDA-MB-231) 乳腺细胞混合样本获得的实验结果表明,目标与非目标分选准确度超过 95%。我们设想,除了多功能性和简单性之外,我们平台的高精度将有助于对各种复杂样本进行可靠分类至关重要的临床环境。
更新日期:2021-09-24
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