Biology subjects

Ladstaetter, S.

Publications and source records attributed to Ladstaetter, S..

2 recordsLinked to original sources

bioRxiv2022

Zygotic genome activation by the totipotency pioneer factor Nr5a2

Life begins with a switch in genetic control from the maternal to the embryonic genome during zygotic genome activation (ZGA) in totipotent embryos. Despite its importance, the essential regulators of ZGA remain largely unknown in mammals. Based on de novo motif searches, we identified the orphan nuclear receptor Nr5a2 as a key activator of major ZGA in mouse embryos. Nr5a2 binds to its motif within a subtype of SINE B1/Alu transposable elements found in cis-regulatory regions of ZGA genes. Chemical inhibition suggests that 72% of ZGA genes are regulated by Nr5a2 and potentially other orphan nuclear family receptors. Consistent with a role in ZGA, Nr5a2 is required for progression beyond the 2-cell stage. Nr5a2 promotes chromatin accessibility during ZGA and binds to entry/exit sites of nucleosomal DNA in vitro. We conclude that Nr5a2 is an essential pioneer factor that distinctly regulates totipotency and pluripotency during mammalian development. One-Sentence SummaryNr5a2 is an essential pioneer transcription factor that activates expression of zygotic genes in mouse embryos.

developmental biology↗

bioRxiv2022

Cellular stress in brain organoids is limited to a distinct and bioinformatically removable subpopulation.

Organoids enable disease modeling in complex and structured human tissue, in vitro. Like most 3D models, they lack sufficient oxygen supply, leading to cellular stress. These negative effects are particularly prominent in complex models, like brain organoids, where they can prevent proper lineage commitment. Here, we analyze brain organoid and fetal single cell RNA sequencing (scRNAseq) data from published and new datasets totaling over 190,000 cells. We describe a unique stress signature found in all organoid samples, but not in fetal samples. We demonstrate that cell stress is limited to a defined organoid cell population, and present Gruffi, an algorithm that uses granular functional filtering to identify and remove stressed cells from any organoid scRNAseq dataset in an unbiased manner. Our data show that adverse effects of cell stress can be corrected by bioinformatic analysis, improving developmental trajectories and resemblance to fetal data.

neuroscience↗