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Updated: Mar 14, 2026

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
Published on: March 19, 2021
Fluidic Logic Used in a Systems Approach to Enable Integrated Single-Cell Functional Analysis.
Naveen Ramalingam1, Brian Fowler1, Lukasz Szpankowski1
1New Technologies Research Department, Fluidigm Corporation , South San Francisco, CA , USA.
Researchers developed a novel microfluidic platform for single-cell analysis. This system links cellular function and response to genomic and transcriptomic profiles, advancing single-cell studies.
Area of Science:
- Single-cell biology
- Genomics
- Molecular biology
Background:
- Single-cell analysis has advanced, revealing heterogeneity within cell populations.
- Current methods struggle to link single-cell functional differences to genomic and transcriptomic data.
- Controlled perturbation and response monitoring at the single-cell level remain challenging.
Purpose of the Study:
- To develop an integrated platform for studying single-cell function.
- To bridge the gap between single-cell functional responses and molecular profiles.
- To enable routine functional studies of individual cells.
Main Methods:
- Development of an elastomer-based integrated fluidic circuit for cell selection and sequestration.
- On-chip culture, stimulation, and image-based response analysis of sequestered single cells.
- Preparation of mRNA transcriptomes for massively parallel sequencing.
Main Results:
- A miniaturized platform integrating multiple experimental steps for single-cell analysis was created.
- The system successfully selected and sequestered single cells based on phenotypic traits.
- Downstream genomic and transcriptomic analysis of functional responses was enabled.
Conclusions:
- The developed platform facilitates the routine functional study of single cells.
- This technology allows for the direct linkage of cellular function to genomic and transcriptomic information.
- The integrated system advances the understanding of single-cell heterogeneity and function.
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