IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms13182.html
   My bibliography  Save this article

Massive and parallel expression profiling using microarrayed single-cell sequencing

Author

Listed:
  • Sanja Vickovic

    (Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology)

  • Patrik L. Ståhl

    (Karolinska Institute)

  • Fredrik Salmén

    (Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology)

  • Sarantis Giatrellis

    (Karolinska Institute)

  • Jakub Orzechowski Westholm

    (Science for Life Laboratory, Stockholm University)

  • Annelie Mollbrink

    (Science for Life Laboratory, Karolinska Institute)

  • José Fernández Navarro

    (Karolinska Institute)

  • Joaquin Custodio

    (Science for Life Laboratory, Karolinska Institute)

  • Magda Bienko

    (Science for Life Laboratory, Karolinska Institute)

  • Lesley-Ann Sutton

    (Science for Life Laboratory, Genetics and Pathology, Uppsala University)

  • Richard Rosenquist

    (Science for Life Laboratory, Genetics and Pathology, Uppsala University)

  • Jonas Frisén

    (Karolinska Institute)

  • Joakim Lundeberg

    (Science for Life Laboratory, School of Biotechnology, KTH Royal Institute of Technology)

Abstract

Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost, throughput and robustness. Here, we present a method enabling massive microarray-based barcoding of expression patterns in single cells, termed MASC-seq. This technology enables both imaging and high-throughput single-cell analysis, characterizing thousands of single-cell transcriptomes per day at a low cost (0.13 USD/cell), which is two orders of magnitude less than commercially available systems. Our novel approach provides data in a rapid and simple way. Therefore, MASC-seq has the potential to accelerate the study of subtle clonal dynamics and help provide critical insights into disease development and other biological processes.

Suggested Citation

  • Sanja Vickovic & Patrik L. Ståhl & Fredrik Salmén & Sarantis Giatrellis & Jakub Orzechowski Westholm & Annelie Mollbrink & José Fernández Navarro & Joaquin Custodio & Magda Bienko & Lesley-Ann Sutton , 2016. "Massive and parallel expression profiling using microarrayed single-cell sequencing," Nature Communications, Nature, vol. 7(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13182
    DOI: 10.1038/ncomms13182
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms13182
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms13182?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.