Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis
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Author(s) • • • • • •
Castellarnau, Marc
Su, Hao-wei
Tokatlian, Talar
Voldman, Joel
Szeto, Gregory
Love, John C
Irvine, Darrell J
Date Issued
September 2014
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.
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Author's final manuscript
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.
MIT 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
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DOI of Published Version
https://doi.org/10.1002/smll.201401369