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EndoC-BH1 multiomic profiling defines gene regulatory programs intrinsic to human beta cell identity and function

ABSTRACT: EndoC-BH1 is emerging as a critical human beta cell model to study the genetic and environmental etiologies of normal islet function as well as beta cell failure in diabetes. However, comprehensive knowledge of its (epi)genomic landscape has been lacking. Here, we report extensive chromosomal (spectral karyotyping), genetic (genotyping), epigenetic (ChIP-seq, ATAC-seq), chromatin interaction (Hi-C, Pol2 ChIA-PET), and transcriptomic (RNA-seq, miRNA-seq) maps of this cell model. Integrated analyses of these maps define beta cell-specific chromosome territories and transcriptional cis-regulatory programs and identify allelic effects on cis-regulatory element use and expression. Importantly, comparative analyses with maps generated in human islets/beta cells indicate substantial preservation of cis-regulatory element use and chromatin looping. Together, these maps and an interactive web application we have created for their exploration are important tools for the design and completion of experiments to probe and manipulate the genetic programs governing beta cell identity and (dys)function in diabetes.

INSTRUMENT(S): -

ORGANISM(S): Homo Sapiens

SUBMITTER: The Jackson Laboratory for Genomic Medicine

PROVIDER: PRJEB27824 | EVA | 2019-01-08

REPOSITORIES: EVA

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Project description:<p>Non-coding elements in our genomes that play critical roles in complex disease are frequently marked by highly unstable RNA species. Sequencing nascent RNAs attached to an actively transcribing RNA polymerase complex can identify unstable RNAs, including those templated from gene-distal enhancers (eRNAs). However, nascent RNA sequencing techniques remain challenging to apply in some cell lines and especially to intact tissues, limiting broad applications in fields such as cancer genomics and personalized medicine. Here we report the development of chromatin run-on and sequencing (ChRO-seq), a novel run-on technology that maps the location of RNA polymerase using virtually any frozen tissue sample, including samples with degraded RNA that are intractable to conventional RNA-seq. We used ChRO-seq to develop the first maps of nascent transcription in 23 human glioblastoma (GBM) brain tumors and patient derived xenografts. Remarkably, >90,000 distal enhancers discovered using the signature of eRNA biogenesis within primary GBMs closely resemble those found in the normal human brain, and diverge substantially from GBM cell models. Despite extensive overall similarity, 12% of enhancers in each GBM distinguish normal and malignant brain tissue. These enhancers drive regulatory programs similar to the developing nervous system and are enriched for transcription factor binding sites that specify a stem-like cell fate. These results demonstrate that GBMs largely retain the enhancer landscape associated with their tissue of origin, but selectively adopt regulatory programs that are responsible for driving stem-like cell properties. We also identified enhancers and their associated transcription factors that regulate genes characteristic of each known GBM subtype, and discovered a core group of transcription factors that control the expression of genes associated with clinical outcomes. This study uncovers new insights into the molecular etiology of GBM and introduces ChRO-seq which can now be used to map regulatory programs contributing to a variety of complex diseases.</p>

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EndoC-BH1 multiomic profiling defines gene regulatory programs intrinsic to human beta cell identity and function

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