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1.
Nat Commun ; 12(1): 608, 2021 01 27.
Artículo en Inglés | MEDLINE | ID: mdl-33504783

RESUMEN

Haematopoietic stem cells (HSCs) are characterized by their self-renewal potential associated to dormancy. Here we identify the cell surface receptor neogenin-1 as specifically expressed in dormant HSCs. Loss of neogenin-1 initially leads to increased HSC expansion but subsequently to loss of self-renewal and premature exhaustion in vivo. Its ligand netrin-1 induces Egr1 expression and maintains quiescence and function of cultured HSCs in a Neo1 dependent manner. Produced by arteriolar endothelial and periarteriolar stromal cells, conditional netrin-1 deletion in the bone marrow niche reduces HSC numbers, quiescence and self-renewal, while overexpression increases quiescence in vivo. Ageing associated bone marrow remodelling leads to the decline of netrin-1 expression in niches and a compensatory but reversible upregulation of neogenin-1 on HSCs. Our study suggests that niche produced netrin-1 preserves HSC quiescence and self-renewal via neogenin-1 function. Decline of netrin-1 production during ageing leads to the gradual decrease of Neo1 mediated HSC self-renewal.


Asunto(s)
Células Madre Hematopoyéticas/metabolismo , Proteínas de la Membrana/metabolismo , Netrina-1/metabolismo , Nicho de Células Madre , Animales , Arteriolas/metabolismo , Diferenciación Celular , Proliferación Celular , Senescencia Celular , Eliminación de Gen , Trasplante de Células Madre Hematopoyéticas , Ratones Mutantes , Ratones Transgénicos , Transducción de Señal
2.
RNA Biol ; 18(7): 1063-1084, 2021 07.
Artículo en Inglés | MEDLINE | ID: mdl-33499699

RESUMEN

Single-cell RNA-sequencing (scRNA-seq) has emerged in recent years as a breakthrough technology to understand RNA metabolism at cellular resolution. In addition to allowing new cell types and states to be identified, scRNA-seq can permit cell-type specific differential gene expression changes, pre-mRNA processing events, gene regulatory networks and single-cell developmental trajectories to be uncovered. More recently, a new wave of multi-omic adaptations and complementary spatial transcriptomics workflows have been developed that facilitate the collection of even more holistic information from individual cells. These developments have unprecedented potential to provide penetrating new insights into the basic neural cell dynamics and molecular mechanisms relevant to the nervous system in both health and disease. In this review we discuss this maturation of single-cell RNA-sequencing over the past decade, and review the different adaptations of the technology that can now be applied both at different scales and for different purposes. We conclude by highlighting how these methods have already led to many exciting discoveries across neuroscience that have furthered our cellular understanding of the neurological disease.


Asunto(s)
Encéfalo/metabolismo , Proteínas del Tejido Nervioso/genética , Enfermedades Neurodegenerativas/genética , Trastornos del Neurodesarrollo/genética , Neuronas/metabolismo , ARN Mensajero/genética , Análisis de la Célula Individual/métodos , Animales , Encéfalo/patología , Biología Computacional/métodos , Código de Barras del ADN Taxonómico , Perfilación de la Expresión Génica , Regulación de la Expresión Génica , Redes Reguladoras de Genes , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Proteínas del Tejido Nervioso/metabolismo , Enfermedades Neurodegenerativas/metabolismo , Enfermedades Neurodegenerativas/patología , Trastornos del Neurodesarrollo/metabolismo , Trastornos del Neurodesarrollo/patología , Neuronas/patología , ARN Mensajero/metabolismo , Análisis de Secuencia de ARN/métodos , Transcriptoma
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