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Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis

机译:用于单细胞跟踪和多参数分析的随机粒子条形码

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摘要

This study presents stochastic particle barcoding (SPB), a method for tracking cell identity across bioanalytical platforms. In this approach, single cells or small collections of cells are co-encapsulated within an enzymatically-degradable hydrogel block along with a random collection of fluorescent beads, whose number, color, and position encode the identity of the cell, enabling samples to be transferred in bulk between single-cell assay platforms without losing the identity of individual cells. The application of SPB is demonstrated for transferring cells from a subnanoliter protein secretion/phenotyping array platform into a microtiter plate, with re-identification accuracies in the plate assay of 96 +/- 2%. Encapsulated cells are recovered by digesting the hydrogel, allowing subsequent genotyping and phenotyping of cell lysates. Finally, a model scaling is developed to illustrate how different parameters affect the accuracy of SPB and to motivate scaling of the method to thousands of unique blocks.
机译:这项研究提出了随机粒子条形码(SPB),一种跨生物分析平台跟踪细胞身份的方法。在这种方法中,将单个细胞或少量细胞与可随机降解的荧光珠(其数量,颜色和位置编码细胞的身份)一起共封装在可酶降解的水凝胶块中,从而使样品得以转移可以在单细胞测定平台之间批量进行,而不会丢失单个细胞的身份。证明了SPB的应用可将细胞从亚纳升以下的蛋白分泌/表型阵列平台转移到微量滴定板中,在板测定中的重新鉴定精度为96 +/- 2%。通过消化水凝胶可回收被包封的细胞,然后进行细胞裂解物的基因分型和表型分析。最后,开发了模型缩放比例,以说明不同的参数如何影响SPB的精度,并促使将方法缩放比例成千上万的唯一块。

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