Digital microfluidic isolation of single cells for -Omics

Author:

Lamanna JulianORCID,Scott Erica Y.,Edwards Harrison S.,Chamberlain M. Dean,Dryden Michael D. M.ORCID,Peng Jiaxi,Mair BarbaraORCID,Lee AdamORCID,Chan CalvinORCID,Sklavounos Alexandros A.ORCID,Heffernan Austin,Abbas Farhana,Lam Charis,Olson Maxwell E.,Moffat JasonORCID,Wheeler Aaron R.ORCID

Abstract

Abstract We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to collect the contents of single cells from heterogeneous populations, followed by analysis of single-cell genomes and transcriptomes by next-generation sequencing, and proteomes by nanoflow liquid chromatography and tandem mass spectrometry. The results described herein confirm the utility of DISCO for sequencing at levels that are equivalent to or enhanced relative to the state of the art, capable of identifying features at the level of single nucleotide variations. The unique levels of selectivity, context, and accountability of DISCO suggest potential utility for deep analysis of any rare cell population with contextual dependencies.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

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