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Aligning single-cell developmental and reprogramming trajectories identifies molecular determinants of reprogramming outcome

Davide Cacchiarelli, Xiaojie Qiu, Sanjay Srivatsan, Michael Ziller, Eliah Overbey, Jonna Grimsby, Prapti Pokharel, Ken Livak, Shuqiang Li, Alex Meissner, Tarjei Mikkelsen, John Rinn, Cole Trapnell
doi: https://doi.org/10.1101/122531
Davide Cacchiarelli
1Armenise-Harvard laboratory of Integrative Genomics, Telethon Institute of Genetics and Medicine, Pozzuoli, Italy
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
4Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
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  • For correspondence: coletrap@uw.edu d.cacchiarelli@tigem.it
Xiaojie Qiu
5Molecular & Cellular Biology Program, University of Washington, Seattle, WA, USA
6Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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Sanjay Srivatsan
6Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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Michael Ziller
7Max-Planck Institute of Psychiatry, Munich, Germany
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Eliah Overbey
6Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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Jonna Grimsby
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Prapti Pokharel
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Ken Livak
8Present address: Dana-Farber Cancer Institute, Boston, MA
9Fluidigm Corporation, South San Francisco, CA, USA
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Shuqiang Li
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Alex Meissner
2Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
4Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
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Tarjei Mikkelsen
2Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
4Harvard Stem Cell Institute, Harvard University, Cambridge, Massachusetts, USA
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John Rinn
2Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Cole Trapnell
5Molecular & Cellular Biology Program, University of Washington, Seattle, WA, USA
6Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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  • For correspondence: coletrap@uw.edu d.cacchiarelli@tigem.it
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Abstract

Cellular reprogramming through manipulation of defined factors holds great promise for large-scale production of cell types needed for use in therapy, as well as for expanding our understanding of the general principles of gene regulation. MYOD-mediated myogenic reprogramming, which converts many cell types into contractile myotubes, remains one of the best characterized model system for direct conversion by defined factors. However, why MYOD can efficiently convert some cell types into myotubes but not others remains poorly understood. Here, we analyze MYOD-mediated reprogramming of human fibroblasts at pseudotemporal resolution using single-cell RNA-Seq. Successfully reprogrammed cells navigate a trajectory with two branches that correspond to two barriers to reprogramming, with cells that select incorrect branches terminating at aberrant or incomplete reprogramming outcomes. Differential analysis of the major branch points alongside alignment of the successful reprogramming path to a primary myoblast trajectory revealed Insulin and BMP signaling as crucial molecular determinants of an individual cell’s reprogramming outcome, that when appropriately modulated, increased efficiency more than five-fold. Our single-cell analysis reveals that MYOD is sufficient to reprogram cells only when the extracellular milieu is favorable, supporting MYOD with upstream signaling pathways that drive normal myogenesis in development.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted March 30, 2017.
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Aligning single-cell developmental and reprogramming trajectories identifies molecular determinants of reprogramming outcome
Davide Cacchiarelli, Xiaojie Qiu, Sanjay Srivatsan, Michael Ziller, Eliah Overbey, Jonna Grimsby, Prapti Pokharel, Ken Livak, Shuqiang Li, Alex Meissner, Tarjei Mikkelsen, John Rinn, Cole Trapnell
bioRxiv 122531; doi: https://doi.org/10.1101/122531
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Aligning single-cell developmental and reprogramming trajectories identifies molecular determinants of reprogramming outcome
Davide Cacchiarelli, Xiaojie Qiu, Sanjay Srivatsan, Michael Ziller, Eliah Overbey, Jonna Grimsby, Prapti Pokharel, Ken Livak, Shuqiang Li, Alex Meissner, Tarjei Mikkelsen, John Rinn, Cole Trapnell
bioRxiv 122531; doi: https://doi.org/10.1101/122531

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