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1.
Transl Psychiatry ; 13(1): 397, 2023 Dec 16.
Artículo en Inglés | MEDLINE | ID: mdl-38104115

RESUMEN

Genome-wide (GWAS) and copy number variant (CNV) association studies have reproducibly identified numerous risk alleles associated with bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ), but biological characterization of these alleles lags gene discovery, owing to the inaccessibility of live human brain cells and inadequate animal models for human psychiatric conditions. Human-derived induced pluripotent stem cells (iPSCs) provide a renewable cellular reagent that can be differentiated into living, disease-relevant cells and 3D brain organoids carrying the full complement of genetic variants present in the donor germline. Experimental studies of iPSC-derived cells allow functional characterization of risk alleles, establishment of causal relationships between genes and neurobiology, and screening for novel therapeutics. Here we report the creation and availability of an iPSC resource comprising clinical, genomic, and cellular data obtained from genetically isolated families with BD and related conditions. Results from the first 324 study participants, 61 of whom have validated pluripotent clones, show enrichment of rare single nucleotide variants and CNVs overlapping many known risk genes and pathogenic CNVs. This growing iPSC resource is available to scientists pursuing functional genomic studies of BD and related conditions.


Asunto(s)
Trastorno Depresivo Mayor , Células Madre Pluripotentes Inducidas , Trastornos Psicóticos , Esquizofrenia , Animales , Humanos , Células Madre Pluripotentes Inducidas/metabolismo , Trastorno Depresivo Mayor/genética , Trastorno Depresivo Mayor/metabolismo , Trastornos Psicóticos/metabolismo , Esquizofrenia/genética , Esquizofrenia/metabolismo , Genómica , Estudio de Asociación del Genoma Completo
2.
Stem Cells Transl Med ; 4(3): 230-8, 2015 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-25637190

RESUMEN

Niemann-Pick disease, type C1 (NPC1) is a familial disorder that has devastating consequences on postnatal development with multisystem effects, including neurodegeneration. There is no Food and Drug Administration-approved treatment option for NPC1; however, several potentially therapeutic compounds have been identified in assays using yeast, rodent models, and NPC1 human fibroblasts. Although these discoveries were made in fibroblasts from NPC1 subjects and were in some instances validated in animal models of the disease, testing these drugs on a cell type more relevant for NPC1 neurological disease would greatly facilitate both study of the disease and identification of more relevant therapeutic compounds. Toward this goal, we have generated an induced pluripotent stem cell line from a subject homozygous for the most frequent NPC1 mutation (p.I1061T) and subsequently created a stable line of neural stem cells (NSCs). These NSCs were then used to create neurons as an appropriate disease model. NPC1 neurons display a premature cell death phenotype, and gene expression analysis of these cells suggests dysfunction of important signaling pathways, including calcium and WNT. The clear readout from these cells makes them ideal candidates for high-throughput screening and will be a valuable tool to better understand the development of NPC1 in neural cells, as well as to develop better therapeutic options for NPC1.


Asunto(s)
Señalización del Calcio , Fibroblastos/metabolismo , Células Madre Pluripotentes Inducidas/metabolismo , Neuronas/metabolismo , Enfermedad de Niemann-Pick Tipo C/metabolismo , Enfermedad de Niemann-Pick Tipo C/patología , Vía de Señalización Wnt , Proteínas Portadoras/genética , Proteínas Portadoras/metabolismo , Línea Celular , Fibroblastos/patología , Humanos , Células Madre Pluripotentes Inducidas/patología , Péptidos y Proteínas de Señalización Intracelular , Glicoproteínas de Membrana/genética , Glicoproteínas de Membrana/metabolismo , Mutación , Neuronas/patología , Proteína Niemann-Pick C1 , Enfermedad de Niemann-Pick Tipo C/genética
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