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Rapid parallel generation of a fluorescently barcoded drop library from a microtiter plate using the plate-interfacing parallel encapsulation (PIPE) chip.

Authors :
Zath, Geoffrey K.
Sperling, Ralph A.
Hoffman, Carter W.
Bikos, Dimitri A.
Abbasi, Reha
Abate, Adam R.
Weitz, David A.
Chang, Connie B.
Source :
Lab on a Chip. 12/7/2022, Vol. 22 Issue 23, p4735-4745. 11p.
Publication Year :
2022

Abstract

In drop-based microfluidics, an aqueous sample is partitioned into drops using individual pump sources that drive water and oil into a drop-making device. Parallelization of drop-making devices is necessary to achieve high-throughput screening of multiple experimental conditions, especially in time-sensitive studies. Here, we present the plate-interfacing parallel encapsulation (PIPE) chip, a microfluidic chip designed to generate 50 to 90 μm diameter drops of up to 96 different conditions in parallel by interfacing individual drop makers with a standard 384-well microtiter plate. The PIPE chip is used to generate two types of optically barcoded drop libraries consisting of two-color fluorescent particle combinations: a library of 24 microbead barcodes and a library of 192 quantum dot barcodes. Barcoded combinations in the drop libraries are rapidly measured within a microfluidic device using fluorescence detection and distinct barcoded populations in the fluorescence drop data are identified using DBSCAN data clustering. Signal analysis reveals that particle size defines the source of dominant noise present in the fluorescence intensity distributions of the barcoded drop populations, arising from Poisson loading for microbeads and shot noise for quantum dots. A barcoded population from a drop library is isolated using fluorescence-activated drop sorting, enabling downstream analysis of drop contents. The PIPE chip can improve multiplexed high-throughput assays by enabling simultaneous encapsulation of barcoded samples stored in a microtiter plate and reducing sample preparation time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14730197
Volume :
22
Issue :
23
Database :
Academic Search Index
Journal :
Lab on a Chip
Publication Type :
Academic Journal
Accession number :
160351895
Full Text :
https://doi.org/10.1039/d2lc00909a