[PDF][PDF] Multiomic profiling identifies cis-regulatory networks underlying human pancreatic β cell identity and function

N Lawlor, EJ Marquez, P Orchard, N Narisu… - Cell reports, 2019 - cell.com
Cell reports, 2019cell.com
EndoC-βH1 is emerging as a critical human β cell model to study the genetic and
environmental etiologies of β cell (dys) function and diabetes. Comprehensive knowledge of
its molecular landscape is lacking, yet required, for effective use of this model. Here, we
report chromosomal (spectral karyotyping), genetic (genotyping), epigenomic (ChIP-seq and
ATAC-seq), chromatin interaction (Hi-C and Pol2 ChIA-PET), and transcriptomic (RNA-seq
and miRNA-seq) maps of EndoC-βH1. Analyses of these maps define known (eg, PDX1 and …
Summary
EndoC-βH1 is emerging as a critical human β cell model to study the genetic and environmental etiologies of β cell (dys)function and diabetes. Comprehensive knowledge of its molecular landscape is lacking, yet required, for effective use of this model. Here, we report chromosomal (spectral karyotyping), genetic (genotyping), epigenomic (ChIP-seq and ATAC-seq), chromatin interaction (Hi-C and Pol2 ChIA-PET), and transcriptomic (RNA-seq and miRNA-seq) maps of EndoC-βH1. Analyses of these maps define known (e.g., PDX1 and ISL1) and putative (e.g., PCSK1 and mir-375) β cell-specific transcriptional cis-regulatory networks and identify allelic effects on cis-regulatory element use. Importantly, comparison with maps generated in primary human islets and/or β cells indicates preservation of chromatin looping but also highlights chromosomal aberrations and fetal genomic signatures in EndoC-βH1. Together, these maps, and a web application we created for their exploration, provide important tools for the design of experiments to probe and manipulate the genetic programs governing β cell identity and (dys)function in diabetes.
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