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 Videos

Microfluidic single-cell mRNA isolation and analysis.

Joshua S Marcus1, W French Anderson, Stephen R Quake

  • 1Biochemistry and Molecular Biophysics, California Institute of Technology, MS 128-95, Pasadena, California 91125, USA.

Analytical Chemistry
|April 29, 2006
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

Reciprocal repulsions enforce heterotypic dendrite segregation in an olfactory circuit.

bioRxiv : the preprint server for biology·2026
Same author

Engulfment by brain macrophages in a short-lived vertebrate.

bioRxiv : the preprint server for biology·2026
Same author

TranscriptFormer: A generative cell atlas across 1.5 billion years of evolution.

Science (New York, N.Y.)·2026
Same author

Cell-free RNA reveals host and microbial correlates of broadly neutralizing antibody development against HIV.

PLoS pathogens·2026
Same author

Tabula Sapiens reveals the non-coding RNA landscape across 22 human organs and tissues.

bioRxiv : the preprint server for biology·2026
Same author

Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics.

Nature biotechnology·2026
Same journal

The ACS at 150: The History of Analytical Chemistry Publications and a Century of Progress.

Analytical chemistry·2026
Same journal

Machine Learning-Enabled Image Analysis of Complex Chemical Mixtures: Synthetic Urine Droplets as a Test System.

Analytical chemistry·2026
Same journal

H<sub>2</sub>O<sub>2</sub>/Viscosity Tandem-Locked Fluorescent Probes Based on an In Situ Fluorophore Synthesis Strategy for Colitis Imaging and Diagnosis.

Analytical chemistry·2026
Same journal

TopoStitcher: A Geometric-Topological Structure-Guided Stitching Framework for Single-Molecule Localization Microscopy.

Analytical chemistry·2026
Same journal

Noninvasive SERS Immunosensing of Tyrosinase for Melanoma Monitoring via Microneedle Sampling Integrated with Satellite-Structured Bifunctional Nanozymes.

Analytical chemistry·2026
Same journal

Label-Free Electrochemical CRISPR Platform Gated by Allosteric Transcription Factors for Ultrasensitive Small-Molecule Detection.

Analytical chemistry·2026
See all related articles

This study introduces microfluidic methods for isolating mRNA and synthesizing cDNA from single cells. These techniques enable reproducible, quantitative, and parallel gene expression analysis in individual cells.

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Single-cell gene expression analysis is crucial for understanding biological systems.
  • Current methods face challenges in reproducibility, quantification, and parallelism.

Purpose of the Study:

  • To develop microfluidic techniques for single-cell mRNA isolation and cDNA synthesis.
  • To establish a foundation for highly parallel single-cell gene expression studies.

Main Methods:

  • Utilized microfluidics for isolating picogram and subpicogram mRNA templates.
  • Developed methods for complementary DNA (cDNA) synthesis from isolated mRNA.
  • Performed quantitative calibrations for each step of the process.

Main Results:

Related Experiment Videos

  • Demonstrated successful single-cell mRNA isolation and cDNA synthesis.
  • Quantified the efficiency and accuracy of the isolation and synthesis steps.
  • Measured gene expression levels in individual cells.

Conclusions:

  • The presented microfluidic techniques provide a robust platform for single-cell gene expression analysis.
  • These methods address key challenges in reproducibility, quantification, and parallelism.
  • The work lays the groundwork for large-scale, high-throughput single-cell studies.