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Diverse gene expression of diencephalon astrocytes reveals proliferation regulated by Smad4 - scRNA-seq II

ABSTRACT: Astrocytes are crucial for neural network function throughout the brain and also show region-specific gene expression differences. To explore this at the single cell level, we isolated cells by ACSA2 MACS from the diencephalon. Single cell RNA-seq revealed two super clusters of cells expressing astrocyte markers, one of which expressed many ependymal markers. Fluorescent labelling of ependymal cells allowed removing them during dissection. The remaining astrocytes and astrocyte-like cells show considerable heterogeneity with some subsets or gene expression states showing more wide-spread and others more restricted mapping of gene expression throughout the forebrain. Surprisingly, diencephalic astrocytes express proliferation regulating genes. Immunostaining for proiliferation markers, DNA-base incorporation and clonal analysis revealed ongoing low level astrocytogenesis even in 8 months old mice. Comparing gene expression of astrocytes in diencephalon and cortex grey matter identified Smad4 as a key regulator of astrocyte in vivo proliferation and in vitro neurosphere formation. Thus, astrocyte diversity is seemingly partitioned in wide-spread and region-specific subsets and reveals the novel concept of adult astrocytogenesis in the diencephalon in a Smad4-dependent manner.

ORGANISM(S): Mus musculus

PROVIDER: GSE176456 | GEO | 2021/09/01

REPOSITORIES: GEO

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Project description:MartínJiménez2017 - Genome-scale reconstruction of the human astrocyte metabolic network This model is described in the article: Genome-Scale Reconstruction of the Human Astrocyte Metabolic Network. Martín-Jiménez CA, Salazar-Barreto D, Barreto GE, González J. Front Aging Neurosci 2017; 9: 23 Abstract: Astrocytes are the most abundant cells of the central nervous system; they have a predominant role in maintaining brain metabolism. In this sense, abnormal metabolic states have been found in different neuropathological diseases. Determination of metabolic states of astrocytes is difficult to model using current experimental approaches given the high number of reactions and metabolites present. Thus, genome-scale metabolic networks derived from transcriptomic data can be used as a framework to elucidate how astrocytes modulate human brain metabolic states during normal conditions and in neurodegenerative diseases. We performed a Genome-Scale Reconstruction of the Human Astrocyte Metabolic Network with the purpose of elucidating a significant portion of the metabolic map of the astrocyte. This is the first global high-quality, manually curated metabolic reconstruction network of a human astrocyte. It includes 5,007 metabolites and 5,659 reactions distributed among 8 cell compartments, (extracellular, cytoplasm, mitochondria, endoplasmic reticle, Golgi apparatus, lysosome, peroxisome and nucleus). Using the reconstructed network, the metabolic capabilities of human astrocytes were calculated and compared both in normal and ischemic conditions. We identified reactions activated in these two states, which can be useful for understanding the astrocytic pathways that are affected during brain disease. Additionally, we also showed that the obtained flux distributions in the model, are in accordance with literature-based findings. Up to date, this is the most complete representation of the human astrocyte in terms of inclusion of genes, proteins, reactions and metabolic pathways, being a useful guide for in-silico analysis of several metabolic behaviors of the astrocyte during normal and pathologic states. This model is hosted on BioModels Database and identified by: MODEL1608180000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Diverse gene expression of diencephalon astrocytes reveals proliferation regulated by Smad4 - scRNA-seq II

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