Ma SCMC Hybrid VALCAP - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001004595 | EGA |
REPOSITORIES: EGA
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Project description:This manuscript is a companion paper to Ulleryd M.U. et al (1). Data shown here include RNA sequencing data from whole aorta of ApoE-/- mice treated with the alpha 7 nicotinic acetylcholine receptor (α7nAChR) agonist AZ6983 for 8 weeks using subcutaneously implanted osmotic minipumps. 1. Ulleryd MA, Mjornstedt F, Panagaki D, Yang LJ, Engevall K, Gutierrez S, et al. Stimulation of alpha 7 nicotinic acetylcholine receptor (α7nAChR) inhibits atherosclerosis via immunomodulatory effects on myeloid cells Re-submitted. 2019.
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Project description:Mammalian embryogenesis is characterized by rapid cellular proliferation and diversification. Within a few weeks, a single cell zygote gives rise to millions of cells expressing a panoply of molecular programs, including much of the diversity that will subsequently be present in adult tissues. Although intensively studied, a comprehensive delineation of the major cellular trajectories that comprise mammalian development in vivo remains elusive. For mouse embryogenesis in particular, we and others have performed single cell or single nucleus RNA-seq data (scRNA-seq) during implantation, gastrulation and organogenesis. Here we set out to integrate several single cell RNA-seq datasets (scRNA-seq) that collectively span mouse gastrulation and organogenesis. However, a technical challenge that we faced is that the datasets that we sought to integrate were generated by different groups at different times using different scRNA-seq technologies. In particular, probably because there was no overlapping timepoint, the integration of scRNA-seq data generated at E8.5 (cells, 10X Genomics) and E9.5 (nuclei, sci-RNA-seq3) was challenging (Cao et al. 2019; Pijuan-Sala et al. 2019). To address this, we set out to generate new data at E8.5 that might serve to “bridge” these two datasets. Because of how quickly changes are occurring during this window of development, we focused on individual, somite-resolved E8.5 embryos using a simplified, optimized version of sci-RNA-seq3. At the same time, to obtain higher quality data across E9.5-E13.5, we performed a deeper sequencing (specifically, three additional Novaseq runs) of previously reported libraries (Cao et al. 2019). Compared to the previous data (Cao et al. 2019), the median UMI count per cell improved from 671 to 1,434, while the median genes detected per cell improved from 518 to 735. Overall, we collected published data (Cheng et al. 2019; Mohammed et al. 2017; Pijuan-Sala et al. 2019), the new E8.5 data, and the deeper sequencing of previous libraries (Cao et al. 2019). Altogether, we define cell states at each of 19 successive stages spanning E3.5 to E13.5, heuristically connect them to their pseudo-ancestors and pseudo-descendants. Despite being constructed through automated procedures, the resulting trajectories of mammalian embryogenesis (TOME) are largely consistent with our contemporary understanding of mammalian development. In addition, the data of deeper sequencing of previously reported libraries itself comprises a foundational resource for mammalian developmental biology, and are made available in a way that will facilitate their ongoing annotation by the research community.
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Project description:While DNA methylation is an important gene regulatory mechanism in mammals (Razin and Riggs 1980; Moore, Le, and Fan 2013), its function in arthropods remains poorly understood. Studies in eusocial insects have argued for its role in caste development by regulating gene expression and splicing (Elango et al. 2009; Lyko et al. 2010; Bonasio et al. 2012; Flores et al. 2012; Foret et al. 2012; Li-Byarlay et al. 2013; Marshall, Lonsdale, and Mallon 2019; Shi et al. 2013)(Alvarado et al. 2015; Kucharski et al. 2008). However, such findings are not always consistent across studies, and have therefore remained controversial (Arsenault, Hunt, and Rehan 2018; Cardoso-Junior et al. 2021; Harris et al. 2019; Herb et al. 2012; Libbrecht et al. 2016; Oldroyd and Yagound 2021b; Patalano et al. 2015). Here we use CRISPR/Cas9 to mutate the maintenance DNA methyltransferase DNMT1 in the clonal raider ant, Ooceraea biroi. Mutants have greatly reduced DNA methylation but no obvious developmental phenotypes, demonstrating that, unlike mammals (Brown and Robertson 2007; En Li, Bestor, and Jaenisch 1992; Jackson-Grusby et al. 2001; Panning and Jaenisch 1996), ants can undergo normal development without DNMT1 or DNA methylation. Additionally, we find no evidence of DNA methylation regulating caste development. However, mutants are sterile, while in wildtypes, DNMT1 is localized to the ovaries and maternally provisioned into nascent oocytes. This supports the idea that DNMT1 plays a crucial but unknown role in the insect germline (Amukamara et al. 2020; Arsala et al. 2021; Bewick et al. 2019; Schulz et al. 2018; Ventós-Alfonso et al. 2020; Washington et al. 2020).
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