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SRX8152425: GSM4490158: mesendo_derived_outgroup_ATACseq_rep2; Homo sapiens; ATAC-seq
6 ILLUMINA (Illumina HiSeq 2000) runs: 103.3M spots, 10.5G bases, 6.2Gb downloads

Submitted by: NCBI (GEO)
Study: Changing the Waddington landscape to control mesendoderm competence -- ATAC-seq
show Abstracthide 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. Overall design: ATAC-seq profiling of hESCs before and after they lose mesendoderm competence during ectoderm-differentiation, alongside a mesendoderm-derived outgroup to aid in the identification of fate-specific changes
Sample: mesendo_derived_outgroup_ATACseq_rep2
SAMN14656710 • SRS6515015 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina HiSeq 2000
Strategy: ATAC-seq
Source: GENOMIC
Selection: other
Layout: PAIRED
Construction protocol: Accutase-dissociated cells were sorted using a BD Aria III (BD Biosciences) using a 100 µm nozzle. Cells were gated such that the pre-competence-loss population was taken as the cells with the top 10-15% OCT4:RFP to SOX2:YFP ratio, and the post-competence-loss population was the bottom 10-15% OCT4:RFP to SOX2:YFP ratio. We sorted around 250,000 cells per subpopulation in a typical experiment. Populations were sorted into 1.5 mL centrifuge tubes (Eppendorf) filled with 500 µL of mTeSR supplemented with 10 µM γ-27632; by the end of the sort, ~800 µL of sheath and sorted cells had been added to each tube. After the sort had completed, we pelleted the cells in a microcentrifuge at 250 xg for 3 minutes, then resuspended in PBS. For each sorted sample, about 10% of the sorted cells were reserved for competence testing to confirm the pre-/post-competence-loss status of the sorted population. These cells were seeded back into glass-bottom 24-well plates (Ibidi) treated with Matrigel and filled with 1 mL of mTeSR supplemented with γ-27632 and allowed to recover for 3 hours. The media was then changed to mTeSR supplemented with BMP4 and Activin A for 36 hours. Cells were fixed and stained for OCT4 and SOX2. ATAC-seq was performed as previously described (Buenrostro et al., 2015). Briefly, live cells were lysed and incubated with Tn5 transposase for 30 min at 37°C. After DNA purification, samples were amplified as described in (Buenrostro et al., 2015) for the appropriate number of cycles as determined by qPCR to minimize PCR bias.
Experiment attributes:
GEO Accession: GSM4490158
Links:
Runs: 6 runs, 103.3M spots, 10.5G bases, 6.2Gb
Run# of Spots# of BasesSizePublished
SRR1158486728,204,8582.9G2Gb2021-11-09
SRR1158486826,941,4722.7G1.9Gb2021-11-09
SRR115848698,349,258851.6M445.6Mb2021-11-09
SRR115848709,075,521925.7M482.5Mb2021-11-09
SRR1158487115,402,6251.6G731.3Mb2021-11-09
SRR1158487215,320,9301.6G722.3Mb2021-11-09

ID:
10629658

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