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Finding a Helix in a Haystack: Nucleic Acid Cytometry with Droplet Microfluidics

Abstract

Nucleic acids encode the information of life, programming cellular functions and dictating many biological outcomes. Differentiating between cells based on their nucleic acid programs is, thus, a powerful way to unravel the genetic bases of many phenotypes. This is especially important considering that most cells exist in heterogeneous populations, requiring them to be isolated before they can be studied. Existing flow cytometry techniques, however, are unable to reliably recover specific cells based on nucleic acid content. Nucleic acid cytometry is a new field built on droplet microfluidics that allows robust identification, sorting, and sequencing of cells based on specific nucleic acid biomarkers. This review highlights applications that immediately benefit from the approach, biological questions that can be addressed for the first time with it, and considerations for building successful workflows.

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Publication details

The article was received on 06 Mar 2017, accepted on 05 May 2017 and first published on 11 May 2017


Article type: Critical Review
DOI: 10.1039/C7LC00241F
Citation: Lab Chip, 2017, Accepted Manuscript
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    Finding a Helix in a Haystack: Nucleic Acid Cytometry with Droplet Microfluidics

    I. Clark and A. R. Abate, Lab Chip, 2017, Accepted Manuscript , DOI: 10.1039/C7LC00241F

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