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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.

Frontiers in Bioengineering and Biotechnology
|October 7, 2016
PubMed
Summary

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.

Keywords:
FluidigmPolarisfunctional studiesmRNA-seqsingle-cell

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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.