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Related Experiment Video

Updated: May 3, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Tunable Single-Cell Extraction for Molecular Analyses.

Orane Guillaume-Gentil¹, Rashel V Grindberg¹, Romain Kooger²

¹Department of Biology, Institute of Microbiology, ETH Zurich, 8093 Zurich, Switzerland.

|July 16, 2016

Summary

This summary is machine-generated.

Researchers quantitatively extracted molecules from single living cells using fluidic force microscopy. This non-destructive method preserves cell context and enables analysis of cellular contents, enzyme activities, and transcript levels.

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Area of Science:

Cell Biology
Biotechnology
Molecular Analysis

Background:

Analyzing endogenous molecules from single cells is crucial due to cellular heterogeneity.
Current methods like micromanipulation or cell sorting require cell lysis, losing cell context.
Non-destructive sampling of living cells for molecular analysis remains a significant challenge.

Purpose of the Study:

To demonstrate quantitative, spatiotemporal extraction of content from single living cells.
To enable non-destructive sampling while preserving cell context.
To analyze soluble molecules, enzyme activities, and transcript abundances from extracted cellular contents.

Main Methods:

Utilized fluidic force microscopy for quantitative extraction of cellular contents.
Performed spatiotemporal control during the extraction process.
Analyzed soluble molecules, enzyme activities, and transcript abundances from extracted samples.

Main Results:

Successfully demonstrated quantitative extraction of cellular contents with spatiotemporal control.
Analyzed a comprehensive range of soluble molecules, including enzyme activities and transcript abundances.
Showed that cells can withstand the extraction of several picoliters without compromising viability.

Conclusions:

Fluidic force microscopy offers a promising alternative for non-destructive single-cell molecular analysis.
This technique preserves cell context and enables detailed molecular profiling.
Opens new avenues for studying cellular dynamics and cell-cell communication under physiological conditions.