Genomics

Dataset Information

0

Changing the Waddington landscape to control mesendoderm competence -- ATAC-seq


ABSTRACT: As pluripotent human embryonic stem cells progress towards one germ layer fate, they lose the ability to adopt alternative fates. It is unknown how the cells’ competence for these alternative fates changes along their developmental trajectory or if this competence can be modulated. Here, we show that a differentiating stem cell’s probability of adopting a mesendodermal fate when given the appropriate signal falls sharply at a specific point along the ectodermal trajectory, and we further demonstrate that this point can be moved using genetic perturbations. Using a low-dimensional reaction coordinate to monitor progression towards ectoderm, we can determine the probability that individual cells at different points along this path can transition to the mesendodermal fate upon BMP4 and Activin A signal exposure. Knowing this probability allows us to prospectively isolate and profile differentiating cells based on their mesendoderm competence. Analysis and validation of these RNA-seq and ATAC-seq profiles identified transcription factors that can independently control the cell’s mesendoderm competence and its progression along the ectodermal developmental trajectory. In the classical picture of a Waddington landscape, these effects correspond to altering the barrier between fates and changing the cell’s location on the landscape, respectively. The ability of the underlying gene regulatory network to modulate these two aspects of the developmental landscape could allow separate control of the dynamics of differentiation and tissue size proportions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE149077 | GEO | 2021/11/08

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-11-08 | GSE148904 | GEO
2022-01-24 | GSE159652 | GEO
2022-01-24 | GSE159651 | GEO
2022-01-24 | GSE159650 | GEO
2022-01-24 | GSE159649 | GEO
2022-01-24 | GSE159653 | GEO
2005-12-01 | E-MEXP-171 | biostudies-arrayexpress
2017-10-10 | GSE103583 | GEO
2011-05-03 | E-GEOD-29005 | biostudies-arrayexpress
2016-01-16 | E-GEOD-76915 | biostudies-arrayexpress