Your browser doesn't support javascript.
Mostrar: 20 | 50 | 100
Resultados 1 - 6 de 6
Mais filtros

Base de dados
Intervalo de ano de publicação
Nat Commun ; 11(1): 2584, 2020 05 22.
Artigo em Inglês | MEDLINE | ID: mdl-32444635


Interferon-α (IFNα), a type I interferon, is expressed in the islets of type 1 diabetic individuals, and its expression and signaling are regulated by T1D genetic risk variants and viral infections associated with T1D. We presently characterize human beta cell responses to IFNα by combining ATAC-seq, RNA-seq and proteomics assays. The initial response to IFNα is characterized by chromatin remodeling, followed by changes in transcriptional and translational regulation. IFNα induces changes in alternative splicing (AS) and first exon usage, increasing the diversity of transcripts expressed by the beta cells. This, combined with changes observed on protein modification/degradation, ER stress and MHC class I, may expand antigens presented by beta cells to the immune system. Beta cells also up-regulate the checkpoint proteins PDL1 and HLA-E that may exert a protective role against the autoimmune assault. Data mining of the present multi-omics analysis identifies two compound classes that antagonize IFNα effects on human beta cells.

Processamento Alternativo , Células Secretoras de Insulina/fisiologia , Interferon-alfa/metabolismo , Interferon-alfa/farmacologia , Processamento Alternativo/efeitos dos fármacos , Células Cultivadas , Cromatina/efeitos dos fármacos , Cromatina/metabolismo , Mineração de Dados , Diabetes Mellitus Tipo 1/genética , Regulação da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes , Humanos , Células Secretoras de Insulina/efeitos dos fármacos , Mapas de Interação de Proteínas , Proteômica , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo , Sítio de Iniciação de Transcrição
Nat Genet ; 51(11): 1588-1595, 2019 11.
Artigo em Inglês | MEDLINE | ID: mdl-31676868


The early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic ß cells. Here we show that exposure to proinflammatory cytokines reveals a marked plasticity of the ß-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the ß-cell transcriptome, proteome and three-dimensional chromatin structure. Our data indicate that the ß-cell response to cytokines is mediated by the induction of new regulatory regions as well as the activation of primed regulatory elements prebound by islet-specific transcription factors. We find that T1D-associated loci are enriched with newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human ß cells. Our study illustrates how ß cells respond to a proinflammatory environment and implicate a role for stimulus response islet enhancers in T1D.

Cromatina/genética , Citocinas/farmacologia , Diabetes Mellitus Tipo 1/genética , Regulação da Expressão Gênica/efeitos dos fármacos , Redes Reguladoras de Genes , Células Secretoras de Insulina/metabolismo , Transcriptoma , Cromatina/química , Diabetes Mellitus Tipo 1/tratamento farmacológico , Diabetes Mellitus Tipo 1/patologia , Elementos Facilitadores Genéticos , Estudo de Associação Genômica Ampla , Humanos , Células Secretoras de Insulina/efeitos dos fármacos , Células Secretoras de Insulina/patologia , Fatores de Transcrição
Nat Genet ; 51(7): 1137-1148, 2019 07.
Artigo em Inglês | MEDLINE | ID: mdl-31253982


Genetic studies promise to provide insight into the molecular mechanisms underlying type 2 diabetes (T2D). Variants associated with T2D are often located in tissue-specific enhancer clusters or super-enhancers. So far, such domains have been defined through clustering of enhancers in linear genome maps rather than in three-dimensional (3D) space. Furthermore, their target genes are often unknown. We have created promoter capture Hi-C maps in human pancreatic islets. This linked diabetes-associated enhancers to their target genes, often located hundreds of kilobases away. It also revealed >1,300 groups of islet enhancers, super-enhancers and active promoters that form 3D hubs, some of which show coordinated glucose-dependent activity. We demonstrate that genetic variation in hubs impacts insulin secretion heritability, and show that hub annotations can be used for polygenic scores that predict T2D risk driven by islet regulatory variants. Human islet 3D chromatin architecture, therefore, provides a framework for interpretation of T2D genome-wide association study (GWAS) signals.

Cromatina/química , Diabetes Mellitus Tipo 2/genética , Elementos Facilitadores Genéticos , Regulação da Expressão Gênica , Redes Reguladoras de Genes , Secreção de Insulina/genética , Ilhotas Pancreáticas/metabolismo , Cromatina/genética , Estudos de Coortes , Diabetes Mellitus Tipo 2/metabolismo , Diabetes Mellitus Tipo 2/patologia , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Humanos , Conformação Molecular , Regiões Promotoras Genéticas
Diabetes ; 67(9): 1807-1815, 2018 09.
Artigo em Inglês | MEDLINE | ID: mdl-30084829


Type 2 diabetes mellitus (T2DM) is characterized by the inability of the insulin-producing ß-cells to overcome insulin resistance. We previously identified an imprinted region on chromosome 14, the DLK1-MEG3 locus, as being downregulated in islets from humans with T2DM. In this study, using targeted epigenetic modifiers, we prove that increased methylation at the promoter of Meg3 in mouse ßTC6 ß-cells results in decreased transcription of the maternal transcripts associated with this locus. As a result, the sensitivity of ß-cells to cytokine-mediated oxidative stress was increased. Additionally, we demonstrate that an evolutionarily conserved intronic region at the MEG3 locus can function as an enhancer in ßTC6 ß-cells. Using circular chromosome conformation capture followed by high-throughput sequencing, we demonstrate that the promoter of MEG3 physically interacts with this novel enhancer and other putative regulatory elements in this imprinted region in human islets. Remarkably, this enhancer is bound in an allele-specific manner by the transcription factors FOXA2, PDX1, and NKX2.2. Overall, these data suggest that the intronic MEG3 enhancer plays an important role in the regulation of allele-specific expression at the imprinted DLK1-MEG3 locus in human ß-cells, which in turn impacts the sensitivity of ß-cells to cytokine-mediated oxidative stress.

Metilação de DNA , Diabetes Mellitus Tipo 2/metabolismo , Regulação da Expressão Gênica , Peptídeos e Proteínas de Sinalização Intercelular/metabolismo , Ilhotas Pancreáticas/metabolismo , Proteínas de Membrana/metabolismo , Regiões Promotoras Genéticas , RNA Longo não Codificante/metabolismo , Animais , Proteínas de Ligação ao Cálcio , Linhagem Celular , Citocinas/metabolismo , DNA (Citosina-5-)-Metiltransferase 1/química , DNA (Citosina-5-)-Metiltransferase 1/genética , DNA (Citosina-5-)-Metiltransferase 1/metabolismo , Diabetes Mellitus Tipo 2/patologia , Elementos Facilitadores Genéticos , Epigênese Genética , Loci Gênicos , Proteínas de Fluorescência Verde/química , Proteínas de Fluorescência Verde/genética , Proteínas de Fluorescência Verde/metabolismo , Proteínas de Homeodomínio/química , Proteínas de Homeodomínio/genética , Proteínas de Homeodomínio/metabolismo , Humanos , Peptídeos e Proteínas de Sinalização Intercelular/genética , Ilhotas Pancreáticas/patologia , Região de Controle de Locus Gênico , Proteínas de Membrana/genética , Camundongos , Mutação , Estresse Oxidativo/efeitos dos fármacos , Proteínas Recombinantes de Fusão/química , Proteínas Recombinantes de Fusão/metabolismo , Proteínas Repressoras/química , Proteínas Repressoras/genética , Proteínas Repressoras/metabolismo , Bancos de Tecidos , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo
Methods Mol Biol ; 1766: 197-208, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29605854


The regulatory mechanisms that ensure an accurate control of gene transcription are central to cellular function, development and disease. Such mechanisms rely largely on noncoding regulatory sequences that allow the establishment and maintenance of cell identity and tissue-specific cellular functions.The study of chromatin structure and nucleosome positioning allowed revealing transcription factor accessible genomic sites with regulatory potential, facilitating the comprehension of tissue-specific cis-regulatory networks. Recently a new technique coupled with high-throughput sequencing named Assay for Transposase Accessible Chromatin (ATAC-seq) emerged as an efficient method to chart open chromatin genome wide. The application of such technique to different cell types allowed unmasking tissue-specific regulatory elements and characterizing cis-regulatory networks. Herein we describe the implementation of the ATAC-seq method to human pancreatic islets, a tissue playing a central role in the control of glucose metabolism.

Cromatina/efeitos dos fármacos , Cromatina/genética , Ensaios de Triagem em Larga Escala , Ilhotas Pancreáticas/enzimologia , Transposases/farmacologia , Cromatina/química , Epigenômica , Humanos , Ilhotas Pancreáticas/química , Nucleossomos/química , Nucleossomos/efeitos dos fármacos , Nucleossomos/genética , Controle de Qualidade , Alinhamento de Sequência , Análise de Sequência de DNA , Técnicas de Cultura de Tecidos , Transcrição Genética , Transposases/química
Front Genet ; 8: 13, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28261261


The pancreatic islet is a highly specialized tissue embedded in the exocrine pancreas whose primary function is that of controlling glucose homeostasis. Thus, understanding the transcriptional control of islet-cell may help to puzzle out the pathogenesis of glucose metabolism disorders. Integrative computational analyses of transcriptomic and epigenomic data allows predicting genomic coordinates of putative regulatory elements across the genome and, decipher tissue-specific functions of the non-coding genome. We herein present the Islet Regulome Browser, a tool that allows fast access and exploration of pancreatic islet epigenomic and transcriptomic data produced by different labs worldwide. The Islet Regulome Browser is now accessible on the internet or may be installed locally. It allows uploading custom tracks as well as providing interactive access to a wealth of information including Genome-Wide Association Studies (GWAS) variants, different classes of regulatory elements, together with enhancer clusters, stretch-enhancers and transcription factor binding sites in pancreatic progenitors and adult human pancreatic islets. Integration and visualization of such data may allow a deeper understanding of the regulatory networks driving tissue-specific transcription and guide the identification of regulatory variants. We believe that such tool will facilitate the access to pancreatic islet public genomic datasets providing a major boost to functional genomics studies in glucose metabolism related traits including diabetes.