Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 27, 2026

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation
12:04

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation

Published on: December 6, 2013

Integrated microfluidic bioprocessor for single-cell gene expression analysis.

Nicholas M Toriello1, Erik S Douglas, Numrin Thaitrong

  • 1University of California San Francisco/University of California Berkeley Joint Graduate Group in Bioengineering, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA.

Proceedings of the National Academy of Sciences of the United States of America
|December 17, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Iterative Bump-and-Hole Engineering Creates a Bioorthogonal Reporter for <i>N</i>-Acetylglucosaminyltransferase I.

Journal of the American Chemical Society·2026
Same author

Mucin-binding protein shuttles enable delivery of brain-targeted therapeutics.

bioRxiv : the preprint server for biology·2026
Same author

Iterative Bump-and-hole engineering creates a bioorthogonal reporter for <math><mi>N</mi></math> -acetylglucosaminyltransferase I.

bioRxiv : the preprint server for biology·2026
Same author

The protease cathepsin K can debulk the cancer glycocalyx.

The Journal of biological chemistry·2026
Same author

Discovering Glycosylation-Dependent Protein Function by Thermal Proteome Profiling.

bioRxiv : the preprint server for biology·2026
Same author

Ageing promotes microglial accumulation of slow-degrading synaptic proteins.

Nature·2026
Same journal

Chemotactic self-organization captures the dynamics of mammalian hair follicle patterning.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Tomographic imaging of superconducting order using particle-hole interference.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inhibitory potential of autologous neutralizing antibodies sets quantitative limits on the rebound-competent HIV-1 reservoir.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Inferring epidemiological parameters under an infectious phylogeography model with visitor dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Analytical modeling for suction cup designs for skin-interfaced wearable devices.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Improving cell-free metabolism through direct integration of artificial respiratory chains.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

This study presents an integrated microdevice for single-cell gene expression analysis. It reveals distinct cell populations in gene silencing, a variation missed by bulk measurements.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Genomics

Background:

  • Single-cell analysis is crucial for understanding cellular heterogeneity.
  • Existing methods often mask subtle gene expression variations.
  • Developing integrated systems for single-cell gene expression is an ongoing challenge.

Purpose of the Study:

  • To develop an integrated microdevice for sensitive, quantitative single-cell gene expression analysis.
  • To demonstrate the device's capability in measuring gene silencing at the single-cell level.
  • To highlight the limitations of bulk measurements in capturing cellular heterogeneity.

Main Methods:

  • Development of a microdevice integrating nanoliter pumps, RT-PCR, and capillary electrophoresis.
  • Single-cell capture and mRNA amplification.

More Related Videos

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
10:00

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Related Experiment Videos

Last Updated: Jun 27, 2026

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation
12:04

Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation

Published on: December 6, 2013

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
10:00

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

  • Quantitative analysis of gene expression using siRNA knockdown of GAPDH in Jurkat cells.

    • Main Results:

    • The microdevice successfully captured single cells and analyzed gene expression.
    • Single-cell measurements revealed two distinct populations regarding GAPDH gene silencing (moderate vs. complete).
    • Stochastic variation in gene expression and silencing was observed at the single-cell level.

    Conclusions:

    • The integrated microdevice enables sensitive and quantitative single-cell gene expression analysis.
    • Single-cell gene expression analysis uncovers cellular heterogeneity masked by bulk methods.
    • This technology has potential for studying gene expression dynamics and drug efficacy in individual cells.