Dual Transcript and Protein Quantification in a Massive Single Cell Array

Overview

Journal Lab Chip

Publisher Royal Society of Chemistry

Specialties Biotechnology
Chemistry

Date 2016 Aug 23

PMID 27546183

Citations 4

Authors

Seung-Min Park

Jae Young Lee

SoonGweon Hong

Sang Hun Lee

Ivan K Dimov

Hojae Lee

Susie Suh

Qiong Pan

Keyu Li

Anna M Wu

Shannon M Mumenthaler

Parag Mallick

Luke P Lee

Affiliations

Soon will be listed here.

Abstract

Recently, single-cell molecular analysis has been leveraged to achieve unprecedented levels of biological investigation. However, a lack of simple, high-throughput single-cell methods has hindered in-depth population-wide studies with single-cell resolution. We report a microwell-based cytometric method for simultaneous measurements of gene and protein expression dynamics in thousands of single cells. We quantified the regulatory effects of transcriptional and translational inhibitors on cMET mRNA and cMET protein in cell populations. We studied the dynamic responses of individual cells to drug treatments, by measuring cMET overexpression levels in individual non-small cell lung cancer (NSCLC) cells with induced drug resistance. Across NSCLC cell lines with a given protein expression, distinct patterns of transcript-protein correlation emerged. We believe this platform is applicable for interrogating the dynamics of gene expression, protein expression, and translational kinetics at the single-cell level - a paradigm shift in life science and medicine toward discovering vital cell regulatory mechanisms.

Citing Articles

The Intriguing Landscape of Single-Cell Protein Analysis.

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Lung allograft donors with excessive alcohol use have increased levels of human antimicrobial peptide LL-37.

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Multigene profiling of single circulating tumor cells.

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Molecular profiling of single circulating tumor cells from lung cancer patients.

Park S, Wong D, Ooi C, Kurtz D, Vermesh O, Aalipour A Proc Natl Acad Sci U S A. 2016; 113(52):E8379-E8386.

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