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Single Cell Biology
Article . 2017 . Peer-reviewed
Data sources: Crossref
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https://doi.org/10.21037/sci.2...
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Cell lineage specification at single cell resolution

Authors: Jian, Yang; Pentao, Liu;

Cell lineage specification at single cell resolution

Abstract

Single cell technology has been widely used in developmental and stem cell biology. In mouse, single cell transcriptome has revealed the cell lineage specification in pre-implantation and post-implantation stage embryo. Now Mohammed et al. investigated the dynamic cell fate commitment during the transition from peri-implantation to early post-implantation stage with single cell RNA sequencing. Except confirmation of some previous findings, the time window and cell sub clusters of cell specification is more precisely determined, along with possible new mechanism for X re-activation and inactivation in female embryo and for exit from pluripotency and lineage commitment. These data will not only fill the missing link in mouse embryo development, but provide insights into embryo development of other mammalian species including human.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
118
Top 1%
Top 10%
Top 1%
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