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  4. Reconstruction of complex single-cell trajectories using CellRouter

Reconstruction of complex single-cell trajectories using CellRouter

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Author(s)
Lummertz da Rocha, Edroaldo
•
Rowe, R. Grant
•
Lundin, Vanessa
•
Malleshaiah, Mohan
•
Jha, Deepak Kumar
•
Rambo, Carlos R.
•
Li, Hu
•
North, Trista E.
•
Collins, James J.
•
Daley, George Q.
Date Issued
March 2018
Journal
Nature Communications
Publisher
Nature Publishing Group
Citation
Lummertz da Rocha, Edroaldo, et al. “Reconstruction of Complex Single-Cell Trajectories Using CellRouter.” Nature Communications 9, 1 (March 2018): 892 © 2018 The Author(s)
Version
Final published version
Abstract
A better understanding of the cell-fate transitions that occur in complex cellular ecosystems in normal development and disease could inform cell engineering efforts and lead to improved therapies. However, a major challenge is to simultaneously identify new cell states, and their transitions, to elucidate the gene expression dynamics governing cell-type diversification. Here, we present CellRouter, a multifaceted single-cell analysis platform that identifies complex cell-state transition trajectories by using flow networks to explore the subpopulation structure of multi-dimensional, single-cell omics data. We demonstrate its versatility by applying CellRouter to single-cell RNA sequencing data sets to reconstruct cell-state transition trajectories during hematopoietic stem and progenitor cell (HSPC) differentiation to the erythroid, myeloid and lymphoid lineages, as well as during re-specification of cell identity by cellular reprogramming of monocytes and B-cells to HSPCs. CellRouter opens previously undescribed paths for in-depth characterization of complex cellular ecosystems and establishment of enhanced cell engineering approaches.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Synthetic Biology Center
Terms of Use
Creative Commons Attribution 4.0 International License
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/117589
DOI of Published Version
https://doi.org/10.1038/S41467-018-03214-Y
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