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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Updated: Mar 16, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Dual transcript and protein quantification in a massive single cell array.

Seung-Min Park¹, Jae Young Lee, Soongweon Hong

¹Department of Bioengineering, University of California, Berkeley, California, USA. lplee@berkeley.edu.

|August 23, 2016

Summary

This summary is machine-generated.

A new microwell method enables high-throughput single-cell analysis of gene and protein expression dynamics. This platform advances understanding of cellular responses to drug treatments, particularly in non-small cell lung cancer (NSCLC).

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Last Updated: Mar 16, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

Molecular Biology
Biotechnology
Genomics and Proteomics

Background:

Single-cell molecular analysis offers deep biological insights but lacks high-throughput methods for population-wide studies.
Existing techniques limit in-depth investigation of cellular dynamics at single-cell resolution.

Purpose of the Study:

To develop a simple, high-throughput single-cell method for simultaneous gene and protein expression analysis.
To investigate the dynamic responses of individual non-small cell lung cancer (NSCLC) cells to drug treatments.
To quantify the regulatory effects of inhibitors on cMET mRNA and protein expression.

Main Methods:

A novel microwell-based cytometric platform was developed for simultaneous measurements.
Thousands of single cells were analyzed for gene and protein expression dynamics.
Transcriptional and translational inhibitors were used to study cMET regulation in NSCLC cells.

Main Results:

The method successfully quantified regulatory effects of inhibitors on cMET mRNA and protein.
Distinct patterns of transcript-protein correlation were observed across NSCLC cell lines.
Dynamic cellular responses to drug treatments were characterized at the single-cell level.

Conclusions:

The developed platform enables simultaneous measurement of gene and protein expression dynamics in thousands of single cells.
This technology facilitates the study of cellular regulatory mechanisms and drug responses.
It represents a paradigm shift for life science and medicine, enabling discovery of vital cell regulatory mechanisms.