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Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis

Author(s)
Castellarnau, Marc; Su, Hao-wei; Tokatlian, Talar; Voldman, Joel; Szeto, Gregory; Love, John C; Irvine, Darrell J; ... Show more Show less
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Abstract
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.
Date issued
2014-09
URI
http://hdl.handle.net/1721.1/99439
Department
Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Chemical Engineering; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Ragon Institute of MGH, MIT and Harvard; Koch Institute for Integrative Cancer Research at MIT
Journal
Small
Publisher
Wiley Blackwell
Citation
Castellarnau, M., G. L. Szeto, H.-W. Su, T. Tokatlian, J. C. Love, D. J. Irvine, and J. Voldman. “Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis.” Small 11, no. 4 (September 2, 2014): 489–498.
Version: Author's final manuscript
ISSN
16136810
1613-6829

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