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A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages

Author

Listed:
  • Robert J. Kimmerling

    (Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Gregory Lee Szeto

    (Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard)

  • Jennifer W. Li

    (Massachusetts Institute of Technology)

  • Alex S. Genshaft

    (Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard
    Massachusetts Institute of Technology
    Institute for Medical Engineering & Science, Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Samuel W. Kazer

    (Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard
    Massachusetts Institute of Technology
    Institute for Medical Engineering & Science, Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Kristofor R. Payer

    (Microsystems Technology Laboratory, Massachusetts Institute of Technology)

  • Jacob de Riba Borrajo

    (Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Paul C. Blainey

    (Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Darrell J. Irvine

    (Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard)

  • Alex K. Shalek

    (Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard
    Massachusetts Institute of Technology
    Institute for Medical Engineering & Science, Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

  • Scott R. Manalis

    (Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

Abstract

We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function—including Granzyme B—are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology.

Suggested Citation

  • Robert J. Kimmerling & Gregory Lee Szeto & Jennifer W. Li & Alex S. Genshaft & Samuel W. Kazer & Kristofor R. Payer & Jacob de Riba Borrajo & Paul C. Blainey & Darrell J. Irvine & Alex K. Shalek & Sco, 2016. "A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages," Nature Communications, Nature, vol. 7(1), pages 1-7, April.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10220
    DOI: 10.1038/ncomms10220
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    Cited by:

    1. Jenny Jeong & Nicholas J Frohberg & Enlu Zhou & Todd Sulchek & Peng Qiu, 2018. "Accurately tracking single-cell movement trajectories in microfluidic cell sorting devices," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.

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