Discover and read the best of Twitter Threads about #pluripotency
Most recents (2)
New preprint! 🥳
biorxiv.org/content/10.110…
Led by @aledjohnparry & @ChristelKrueger we asked why #DNAmethylation and oxidation often target overlapping genomic regions at the exit of #pluripotency.
Great collaboration with @Tim_Lohoff, @StevenWingett & @stefanschoenfe1.
🧵👇
biorxiv.org/content/10.110…
Led by @aledjohnparry & @ChristelKrueger we asked why #DNAmethylation and oxidation often target overlapping genomic regions at the exit of #pluripotency.
Great collaboration with @Tim_Lohoff, @StevenWingett & @stefanschoenfe1.
🧵👇
Excellent work by @SchubelerLab, @rulandsgroup, Jaenisch lab, Meissner lab, @CarellThomas and others has shown that DNA methylation turns over genome wide as cells exit naïve pluripotency, especially at enhancer elements.
We discussed this here: rdcu.be/b8bfM
We discussed this here: rdcu.be/b8bfM
But what is the function of methylation turnover?
To find out, we modelled pluripotency exit in vitro (transitioning ESCs to EpiLCs) and performed a thorough molecular characterisation in wild type cells and in cells lacking DNA methylation (Dnmt TKOs) or oxidation (Tet TKOs).
To find out, we modelled pluripotency exit in vitro (transitioning ESCs to EpiLCs) and performed a thorough molecular characterisation in wild type cells and in cells lacking DNA methylation (Dnmt TKOs) or oxidation (Tet TKOs).
We’re excited to share our newest publication @nature. With #scRNAseq we investigated 10 key #epigenetic regulators in #embryogenesis. Interesting early task for #Polycomb! Meissner lab @MPI_MolGen & @HSCRB /w @helenekretzmer & Zachary D. Smith (1/13) nature.com/articles/s4158…
What is normal in #devbio? First, we generated a single-cell reference of WT mouse #gastrulation and early organogenesis to which we later compared mutant phenotypes. We identified 42 embryonic and extraembryonic cell states and placed them in a lineage tree. (2/13)
Our WT reference is time-resolved covering #embryo stages E6.5-8.5. Variation is information: We pooled multiple embryos with unique SNP profiles per single-cell experiment; cell-to-embryo assignment is possible from scRNA data. (3/13)
