Please use this identifier to cite or link to this item:
https://doi.org/10.1038/ncomms11988
DC Field | Value | |
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dc.title | Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development | |
dc.contributor.author | Chen, J | |
dc.contributor.author | Schlitzer, A | |
dc.contributor.author | Chakarov, S | |
dc.contributor.author | Ginhoux, F | |
dc.contributor.author | Poidinger, M | |
dc.date.accessioned | 2020-10-31T11:31:15Z | |
dc.date.available | 2020-10-31T11:31:15Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Chen, J, Schlitzer, A, Chakarov, S, Ginhoux, F, Poidinger, M (2016). Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development. Nature Communications 7 : 11988. ScholarBank@NUS Repository. https://doi.org/10.1038/ncomms11988 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/182454 | |
dc.description.abstract | Single-cell RNA-sequencing offers unprecedented resolution of the continuum of state transition during cell differentiation and development. However, tools for constructing multi-branching cell lineages from single-cell data are limited. Here we present Mpath, an algorithm that derives multi-branching developmental trajectories using neighborhood-based cell state transitions. Applied to mouse conventional dendritic cell (cDC) progenitors, Mpath constructs multi-branching trajectories spanning from macrophage/DC progenitors through common DC progenitor to pre-dendritic cells (preDC). The Mpath-generated trajectories detect a branching event at the preDC stage revealing preDC subsets that are exclusively committed to cDC1 or cDC2 lineages. Reordering cells along cDC development reveals sequential waves of gene regulation and temporal coupling between cell cycle and cDC differentiation. Applied to human myoblasts, Mpath recapitulates the time course of myoblast differentiation and isolates a branch of non-muscle cells involved in the differentiation. Our study shows that Mpath is a useful tool for constructing cell lineages from single-cell data. | |
dc.publisher | Nature Publishing Group | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | anatomy | |
dc.subject | cell organelle | |
dc.subject | differentiation | |
dc.subject | experimental study | |
dc.subject | genetic algorithm | |
dc.subject | genetic analysis | |
dc.subject | rodent | |
dc.subject | antigen presentation | |
dc.subject | Article | |
dc.subject | cell activation | |
dc.subject | cell count | |
dc.subject | cell cycle | |
dc.subject | cell cycle progression | |
dc.subject | cell differentiation | |
dc.subject | cell fate | |
dc.subject | cell interaction | |
dc.subject | cell lineage | |
dc.subject | cell maturation | |
dc.subject | cell proliferation | |
dc.subject | cluster analysis | |
dc.subject | dendritic cell | |
dc.subject | evolutionary algorithm | |
dc.subject | gene activation | |
dc.subject | gene control | |
dc.subject | gene expression | |
dc.subject | intracellular transport | |
dc.subject | macrophage | |
dc.subject | mitosis | |
dc.subject | muscle development | |
dc.subject | myoblast | |
dc.subject | protein processing | |
dc.subject | protein transport | |
dc.subject | RNA sequence | |
dc.subject | single cell analysis | |
dc.subject | stem cell | |
dc.subject | upregulation | |
dc.subject | algorithm | |
dc.subject | animal | |
dc.subject | cell differentiation | |
dc.subject | gene expression regulation | |
dc.subject | genetics | |
dc.subject | human | |
dc.subject | metabolism | |
dc.subject | mouse | |
dc.subject | sequence analysis | |
dc.subject | single cell analysis | |
dc.subject | stem cell | |
dc.subject | Algorithms | |
dc.subject | Animals | |
dc.subject | Cell Cycle | |
dc.subject | Cell Differentiation | |
dc.subject | Cell Lineage | |
dc.subject | Dendritic Cells | |
dc.subject | Gene Expression Regulation | |
dc.subject | Humans | |
dc.subject | Mice | |
dc.subject | Myoblasts | |
dc.subject | Sequence Analysis, RNA | |
dc.subject | Single-Cell Analysis | |
dc.subject | Stem Cells | |
dc.type | Article | |
dc.contributor.department | MICROBIOLOGY AND IMMUNOLOGY | |
dc.contributor.department | BIOLOGY (NU) | |
dc.description.doi | 10.1038/ncomms11988 | |
dc.description.sourcetitle | Nature Communications | |
dc.description.volume | 7 | |
dc.description.page | 11988 | |
dc.published.state | published | |
Appears in Collections: | Elements Staff Publications |
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