| 1. |
- Bsharat, Sara, et al.
(författare)
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MafB-dependent neurotransmitter signaling promotes β cell migration in the developing pancreas
- 2023
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Ingår i: Development: For advances in developmental biology and stem cells. - : The Company of Biologists. - 0950-1991. ; 150:6
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Tidskriftsartikel (refereegranskat)abstract
- Hormone secretion from pancreatic islets is essential for glucose homeostasis and loss or dysfunction of islet cells is a hallmark of type 2 diabetes. Maf transcription factors are critical for establishing and maintaining adult endocrine cell function. However, during pancreas development, MafB is not only expressed in insulin- and glucagon-producing cells, but also Neurog3+ endocrine progenitor cells suggesting additional functions in cell differentiation and islet formation. Here we report that MafB deficiency impairs β cell clustering and islet formation, but also coincides with loss of neurotransmitter and axon guidance receptor gene expression. Moreover, the observed loss of nicotinic receptor gene expression in human and mouse β cells implied that signaling through these receptors contributes to islet cell migration/formation. Inhibition of nicotinic receptor activity resulted in reduced β cell migration towards autonomic nerves and impaired β cell clustering. These findings highlight a novel function of MafB in controlling neuronal-directed signaling events required for islet formation.
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| 2. |
- Cataldo, Rodrigo, et al.
(författare)
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MAFA and MAFB regulate exocytosis-related genes in human β-cells
- 2022
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Ingår i: Acta Physiologica. - : Wiley. - 1748-1716 .- 1748-1708. ; 234:2
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: Reduced expression of exocytotic genes is associated with functional defects in insulin exocytosis contributing to impaired insulin secretion and type 2 diabetes (T2D) development. MAFA and MAFB transcription factors regulate β-cell physiology, and their gene expression is reduced in T2D β cells. We investigate if loss of MAFA and MAFB in human β cells contributes to T2D progression by regulating genes required for insulin exocytosis.METHODS: Three approaches were performed: (1) RNAseq analysis with the focus on exocytosis-related genes in MafA-/- mouse islets, (2) correlational analysis between MAFA, MAFB and exocytosis-related genes in human islets and (3) MAFA and MAFB silencing in human islets and EndoC-βH1 cells followed by functional in vitro studies.RESULTS: The expression of 30 exocytosis-related genes was significantly downregulated in MafA-/- mouse islets. In human islets, the expression of 29 exocytosis-related genes correlated positively with MAFA and MAFB. Eight exocytosis-related genes were downregulated in MafA-/- mouse islets and positively correlated with MAFA and MAFB in human islets. From this analysis, the expression of RAB3A, STXBP1, UNC13A, VAMP2, NAPA, NSF, STX1A and SYT7 was quantified after acute MAFA or MAFB silencing in EndoC-βH1 cells and human islets. MAFA and MAFB silencing resulted in impaired insulin secretion and reduced STX1A, SYT7 and STXBP1 (EndoC-βH1) and STX1A (human islets) mRNA expression. STX1A and STXBP1 protein expression was also impaired in islets from T2D donors which lack MAFA expression.CONCLUSION: Our data indicate that STXBP1 and STX1A are important MAFA/B-regulated exocytosis genes which may contribute to insulin exocytosis defects observed in MAFA-deficient human T2D β cells.
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| 3. |
- Kaplow, Irene M., et al.
(författare)
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Relating enhancer genetic variation across mammals to complex phenotypes using machine learning
- 2023
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Ingår i: Science. - : American Association for the Advancement of Science (AAAS). - 0036-8075 .- 1095-9203. ; 380:6643
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Tidskriftsartikel (refereegranskat)abstract
- Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations between enhancers and phenotypes is challenging because enhancer activity can be tissue-dependent and functionally conserved despite low sequence conservation. We developed the Tissue-Aware Conservation Inference Toolkit (TACIT) to associate candidate enhancers with species' phenotypes using predictions from machine learning models trained on specific tissues. Applying TACIT to associate motor cortex and parvalbumin-positive interneuron enhancers with neurological phenotypes revealed dozens of enhancer-phenotype associations, including brain size-associated enhancers that interact with genes implicated in microcephaly or macrocephaly. TACIT provides a foundation for identifying enhancers associated with the evolution of any convergently evolved phenotype in any large group of species with aligned genomes.
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