Skip to main navigation Skip to search Skip to main content

Biomarker detection by enzymatic amplification in droplets - Towards high throughput detection of low copy number cell surface biomarkers

  • Haakan N. Joensson
  • , Eric R. Brouzes
  • , Michael Samuels
  • , Mathias Uhlén
  • , Helene Andersson Svahn
  • , Darren R. Link
  • KTH Royal Institute of Technology
  • RainDance Technologies

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We report the development of a microfluidic droplet-based assay for detecting very low numbers of surface biomarkers on single cells. The method hinges on an enzymatic amplification whose product is confined in each droplet. The device generates droplets [1] containing individual cells for analysis at rates up to 106 cells per hour. The CD45 biomarker on the cell surface of human T lymphocytes is used as a model system for the assay.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Miniaturized Systems for Chemistry and Life Sciences, uTAS 2007
EditorsJean-Louis Viovy, Patrick Tabeling, Stephanie Descroix, Laurent Malaquin
PublisherChemical and Biological Microsystems Society
Pages113-115
Number of pages3
ISBN (Electronic)9780979806407
StatePublished - 2007
Event11th International Conference on Miniaturized Systems for Chemistry and Life Sciences, uTAS 2007 - Paris, France
Duration: Oct 7 2007Oct 11 2007

Publication series

NameProceedings of the 11th International Conference on Miniaturized Systems for Chemistry and Life Sciences, uTAS 2007

Conference

Conference11th International Conference on Miniaturized Systems for Chemistry and Life Sciences, uTAS 2007
Country/TerritoryFrance
CityParis
Period10/7/0710/11/07

Keywords

  • Antibodies
  • Cell Surface Biomarkers
  • Droplets
  • Enzymes

Fingerprint

Dive into the research topics of 'Biomarker detection by enzymatic amplification in droplets - Towards high throughput detection of low copy number cell surface biomarkers'. Together they form a unique fingerprint.

Cite this