Ultra-sensitive digital quantification of proteins and mRNA in single cells

Jing Lin; Christian Jordi; Minjun Son; Hoang Van Phan; Nir Drayman; Mustafa Fatih Abasiyanik; Luke Vistain; Hsiung-Lin Tu; Savaş Tay

doi:10.1038/s41467-019-11531-z

Nature Communications (Aug 2019)

Ultra-sensitive digital quantification of proteins and mRNA in single cells

Jing Lin,
Christian Jordi,
Minjun Son,
Hoang Van Phan,
Nir Drayman,
Mustafa Fatih Abasiyanik,
Luke Vistain,
Hsiung-Lin Tu,
Savaş Tay

Affiliations

Jing Lin: Pritzker School of Molecular Engineering, University of Chicago
Christian Jordi: Pritzker School of Molecular Engineering, University of Chicago
Minjun Son: Pritzker School of Molecular Engineering, University of Chicago
Hoang Van Phan: Pritzker School of Molecular Engineering, University of Chicago
Nir Drayman: Pritzker School of Molecular Engineering, University of Chicago
Mustafa Fatih Abasiyanik: Pritzker School of Molecular Engineering, University of Chicago
Luke Vistain: Pritzker School of Molecular Engineering, University of Chicago
Hsiung-Lin Tu: Pritzker School of Molecular Engineering, University of Chicago
Savaş Tay: Pritzker School of Molecular Engineering, University of Chicago

DOI: https://doi.org/10.1038/s41467-019-11531-z
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 10

Abstract

Read online

Digital proximity ligation assay (dPLA) can measure proteins and mRNAs in single cells, but is not compatible with cell imaging and cannot quantify rare proteins due to a high dilution factor. Here the authors present an automated microfluidic device that combines live-cell imaging, chemical stimulation, and dPLA in a smaller reaction volume.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal