Single nucleus multi-omics regulatory atlas of the murine pituitary [single nuclei ATAC-Seq]
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ABSTRACT:
PROVIDER: PRJNA637896 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The pituitary regulates growth, reproduction and other endocrine systems. To investigate transcriptional network epigenetic mechanisms in this gland, we generated paired single nucleus (sn) transcriptome and chromatin accessibility profiles in single mouse pituitaries, and genome-wide sn methylation datasets. Our analysis provided insight into cell type epigenetics, regulatory circuit and gene control mechanisms. Latent variable transcriptome and accessibility data representation resolved both inter-sexual and inter-individual variation in gene control programs. Multi-omics analysis of cell type-specific gene regulatory networks distinguished distinct mechanisms. Particularly, the FoxL2 gonadotrope network is controlled both by FoxL2 expression and by target gene epigenetic status. Co-accessibility analysis comprehensively identified putative regulatory regions, including a region that overlapped the fertility-linked rs11031006 human polymorphism. In vitro CRISPR-deletion at this locus increased Fshb levels, supporting this domain’s predicted regulatory role. The public pituitary atlas [link] is a resource for elucidating cell-type specific gene regulatory mechanisms and principles of transcription circuit control.
2021-02-23 | GSE151960 | GEO
Project description:Single nucleus multi-omics regulatory atlas of the murine pituitary
| PRJNA637893 | ENA
Project description:The pituitary regulates growth, reproduction and other endocrine systems. To investigate transcriptional network epigenetic mechanisms in this gland, we generated paired single nucleus (sn) transcriptome and chromatin accessibility profiles in single mouse pituitaries, and genome-wide sn methylation datasets. Our analysis provided insight into cell type epigenetics, regulatory circuit and gene control mechanisms. Latent variable transcriptome and accessibility data representation resolved both inter-sexual and inter-individual variation in gene control programs. Multi-omics analysis of cell type-specific gene regulatory networks distinguished distinct mechanisms. Particularly, the FoxL2 gonadotrope network is controlled both by FoxL2 expression and by target gene epigenetic status. Co-accessibility analysis comprehensively identified putative regulatory regions, including a region that overlapped the fertility-linked rs11031006 human polymorphism. In vitro CRISPR-deletion at this locus increased Fshb levels, supporting this domain’s predicted regulatory role. The public pituitary atlas [link] is a resource for elucidating cell-type specific gene regulatory mechanisms and principles of transcription circuit control.
2021-02-23 | GSE151958 | GEO
Project description:The pituitary regulates growth, reproduction and other endocrine systems. To investigate transcriptional network epigenetic mechanisms in this gland, we generated paired single nucleus (sn) transcriptome and chromatin accessibility profiles in single mouse pituitaries, and genome-wide sn methylation datasets. Our analysis provided insight into cell type epigenetics, regulatory circuit and gene control mechanisms. Latent variable transcriptome and accessibility data representation resolved both inter-sexual and inter-individual variation in gene control programs. Multi-omics analysis of cell type-specific gene regulatory networks distinguished distinct mechanisms. Particularly, the FoxL2 gonadotrope network is controlled both by FoxL2 expression and by target gene epigenetic status. Co-accessibility analysis comprehensively identified putative regulatory regions, including a region that overlapped the fertility-linked rs11031006 human polymorphism. In vitro CRISPR-deletion at this locus increased Fshb levels, supporting this domain’s predicted regulatory role. The public pituitary atlas [link] is a resource for elucidating cell-type specific gene regulatory mechanisms and principles of transcription circuit control.
2021-02-23 | GSE151961 | GEO
Project description:Single nucleus multi-omics regulatory atlas of the murine pituitary [scRNA-Seq]
| PRJNA637894 | ENA
Project description:Single nucleus multi-omics regulatory atlas of the murine pituitary [snRNA-seq ]
| PRJNA637895 | ENA
Project description:The pituitary regulates growth, reproduction and other endocrine systems. To investigate transcriptional network epigenetic mechanisms, we generated paired single nucleus (sn) transcriptome and chromatin accessibility profiles in single mouse pituitaries, and genome-wide sn methylation datasets. Our analysis provided insight into cell type epigenetics, regulatory circuit and gene control mechanisms. Latent variable pathway analysis detected corresponding transcriptome and chromatin accessibility programs showing both inter-sexual and inter-individual variation. Multi-omics analysis of gene regulatory networks identified regulons whose composition and function within specific cell types were shaped by the promoter accessibility state of target genes. Co-accessibility analysis comprehensively identified putative cis-regulatory regions, including a domain upstream of Fshb that overlapped the fertility-linked rs11031006 human polymorphism; In vitro CRISPR-deletion at this locus increased Fshb levels, supporting this domain’s inferred regulatory role. The sn pituitary multi-omics atlas [link] is a public resource for elucidating cell-type specific gene regulatory mechanisms and principles of transcription circuit control. This GEO series contain raw (FASTQ) and processed data (ALLC) files for the sn methylation dataset generated by the snmC-seq2 method.
2021-02-23 | GSE152011 | GEO
Project description:Cell types in the human retina are highly heterogeneous with their abundance varies by several orders of magnitude. To decipher the complexity of gene expression and regulation of the human retinal cell types, we generated a multi-omics single-cell atlas of the adult human retina, including over 250K nuclei for single-nuclei RNA-seq and 150K nuclei for single-nuclei ATAC-seq. Over 60 cell subtypes have been identified based on their transcriptomic profiles, reaching a sensitivity of 0.01%. Integrative analysis of this single-cell multi-omics dataset identified gene regulatory elements across the genome for each cell subtype. In addition, when combined with other data modalities, such as eQTL, potential causal variants can be identified through fine mapping. Taken together, this new dataset represents the most comprehensive single-cell multi-omics profiling for the human retina that enables in-depth molecular characterization of most cell subtypes.
2023-03-14 | GSE226108 | GEO
Project description:Aging is a multifactorial process with significant functional alterations of the human body including endocrinal systems which control the whole-body physiology and metabolism. In this vein, aging-induced decline of endocrine function are associated with multiple physiological and metabolic diseases. However, aging-associated molecular shifts in the pituitary gland, the central organ of the endocrine system, have not been dissected systemically. In this study, we conducted single-cell transcriptomic analysis of the anterior pituitary gland by comparing old and young male mice. Single-cell transcriptomics not only increased the resolution for clustering of various cell types in the pituitary gland, but also enabled detailed analysis of differential expression and intercellular communication caused by aging. In summary, our study constructed the first single-cell transcriptomic atlas of pituitary aging and identified associated features of in a single-cell level, providing resources to develop novel potential therapeutic targets for aging-associated endocrine dysfunction.
2023-09-08 | GSE242296 | GEO
Project description:Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. These emerging multi-omics techniques help the investigation of cell-type resolved gene regulatory mechanisms. Here, we developed in situ SHERRY after ATAC-seq (ISSAAC-seq), a highly sensitive and flexible single cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single cell. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from thousands of nuclei from the mouse cerebral cortex, we uncovered major and rare cell types together with their cell-type specific regulatory elements and expression profiles. Finally, we revealed distinct dynamics and relationships of transcription and chromatin accessibility during an oligodendrocyte maturation trajectory.
2022-06-15 | E-MTAB-11264 | biostudies-arrayexpress