2021
DOI: 10.1016/j.celrep.2021.108981
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Neonatal diabetes mutations disrupt a chromatin pioneering function that activates the human insulin gene

Abstract: Summary Despite the central role of chromosomal context in gene transcription, human noncoding DNA variants are generally studied outside of their genomic location. This limits our understanding of disease-causing regulatory variants. INS promoter mutations cause recessive neonatal diabetes. We show that all INS promoter point mutations in 60 patients disrupt a CC dinucleotide, whereas none affect other elements important for episomal promoter function. To model CC mutations, … Show more

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Cited by 10 publications
(11 citation statements)
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“…Glis3 also directly regulates Ins2 expression, which is significantly down across all Glis3 knockout models [ 23 , 24 , 25 , 70 ]. This correlates well with what is seen in humans (discussed in the next section), where GLIS3 appears to be a critical regulator of INS expression [ 74 ].…”
Section: Links Between Glis3 and β-Cell Maturationsupporting
confidence: 86%
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“…Glis3 also directly regulates Ins2 expression, which is significantly down across all Glis3 knockout models [ 23 , 24 , 25 , 70 ]. This correlates well with what is seen in humans (discussed in the next section), where GLIS3 appears to be a critical regulator of INS expression [ 74 ].…”
Section: Links Between Glis3 and β-Cell Maturationsupporting
confidence: 86%
“…Additionally, GLIS3 protein seems to coordinate this function with other transcription factors via co-binding of genomic loci, as has been reported for ISL1 and LDB1 [ 70 , 90 ]. Similar results have been observed in human islets, with GLIS3 binding to the human INS promoter region together with other transcription factors [ 74 ]. Not only does GLIS3 appear to bind and activate the INS promoter, but it appears to be required for binding of PDX1 and NEUROD1 to the INS promoter as well [ 74 ].…”
Section: Glis3 In Human β-Cell Developmentsupporting
confidence: 85%
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“…Details of the RNA-Seq and ChIP-Seq experiments, as well as human islet donors, were previously described ( 48 , 60 62 ). All transcriptomic data sets used to generate Supplemental Figure 1 , A and B, are publicly available through EMBL-EBI and GEO databases and freely accessible through http://pasqualilab.upf.edu/app/isletregulome For visualization, processed RNA-Seq and ChIP-Seq (bigWig) data files were downloaded (EBI: E-MTAB-1919, E-MTAB-1294 and GEO: GSE151405) and loaded onto the local open source University of California Santa Cruz Genome Browser ( http://genome.ucsc.edu/ ; ref.…”
Section: Methodsmentioning
confidence: 99%