Global epigenomic analysis of primary human pancreatic islets provides insights into type 2 diabetes susceptibility loci

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity

The human body contains thousands of unique cell types, each with specialized functions. Cell identity is governed in large part by gene transcription programs, which are determined by regulatory elements encoded in DNA. To identify regulatory elements active in seven cell lines representative of diverse human cell types, we used DNase-seq and FAIRE-seq (Formaldehyde Assisted Isolation of Regulatory Elements) to map "open chromatin." Over 870,000 DNaseI or FAIRE sites, which correspond tightly to nucleosome-depleted regions, were identified across the seven cell lines, covering nearly 9% of the genome. The combination of DNaseI and FAIRE is more effective than either assay alone in identifying likely regulatory elements, as judged by coincidence with transcription factor binding locations determined in the same cells. Open chromatin common to all seven cell types tended to be at or near transcription start sites and to be coincident with CTCF binding sites, while open chromatin sites found in only one cell type were typically located away from transcription start sites and contained DNA motifs recognized by regulators of cell-type identity. We show that open chromatin regions bound by CTCF are potent insulators. We identified clusters of open regulatory elements (COREs) that were physically near each other and whose appearance was coordinated among one or more cell types. Gene expression and RNA Pol II binding data support the hypothesis that COREs control gene activity required for the maintenance of cell-type identity. This publicly available atlas of regulatory elements may prove valuable in identifying noncoding DNA sequence variants that are causally linked to human disease.

Genome-wide analysis of the relationships between DNaseI HS, histone modifications and gene expression reveals distinct modes of chromatin domains

To understand the molecular mechanisms that underlie global transcriptional regulation, it is essential to first identify all the transcriptional regulatory elements in the human genome. The advent of next-generation sequencing has provided a powerful platform for genome-wide analysis of different species and specific cell types; when combined with traditional techniques to identify regions of open chromatin [DNaseI hypersensitivity (DHS)] or specific binding locations of transcription factors [chromatin immunoprecipitation (ChIP)], and expression data from microarrays, we become uniquely poised to uncover the mysteries of the genome and its regulation. To this end, we have performed global meta-analysis of the relationship among data from DNaseI-seq, ChIP-seq and expression arrays, and found that specific correlations exist among regulatory elements and gene expression across different cell types. These correlations revealed four distinct modes of chromatin domain structure reflecting different functions: repressive, active, primed and bivalent. Furthermore, CCCTC-binding factor (CTCF) binding sites were identified based on these integrative data. Our findings uncovered a complex regulatory process involving by DNaseI HS sites and histone modifications, and suggest that these dynamic elements may be responsible for maintaining chromatin structure and integrity of the human genome. Our integrative approach provides an example by which data from diverse technology platforms may be integrated to provide more meaningful insights into global transcriptional regulation.

Alterations in TCF7L2 expression define its role as a key regulator of glucose metabolism

Genome-wide association studies (GWAS) have consistently implicated noncoding variation within the TCF7L2 locus with type 2 diabetes (T2D) risk. While this locus represents the strongest genetic determinant for T2D risk in humans, it remains unclear how these noncoding variants affect disease etiology. To test the hypothesis that the T2D-associated interval harbors cis-regulatory elements controlling TCF7L2 expression, we conducted in vivo transgenic reporter assays to characterize the TCF7L2 regulatory landscape. We found that the 92-kb genomic interval associated with T2D harbors long-range enhancers regulating various aspects of the spatial-temporal expression patterns of TCF7L2, including expression in tissues involved in the control of glucose homeostasis. By selectively deleting this interval, we establish a critical role for these enhancers in robust TCF7L2 expression. To further determine whether variation in Tcf7l2 expression may lead to diabetes, we developed a Tcf7l2 copy-number allelic series in mice. We show that a null Tcf7l2 allele leads, in a dose-dependent manner, to lower glycemic profiles. Tcf7l2 null mice also display enhanced glucose tolerance coupled to significantly lowered insulin levels, suggesting that these mice are protected against T2D. Confirming these observations, transgenic mice harboring multiple Tcf7l2 copies and overexpressing this gene display reciprocal phenotypes, including glucose intolerance. These results directly demonstrate that Tcf7l2 plays a role in regulating glucose tolerance, suggesting that overexpression of this gene is associated with increased risk of T2D. These data highlight the role of enhancer elements as mediators of T2D risk in humans, strengthening the evidence that variation in cis-regulatory elements may be a paradigm for genetic predispositions to common disease.

DNA shape, genetic codes, and evolution

Although the three-letter genetic code that maps nucleotide sequence to protein sequence is well known, there must exist other codes that are embedded in the human genome. Recent work points to sequence-dependent variation in DNA shape as one mechanism by which regulatory and other information could be encoded in DNA. Recent advances include the discovery of shape-dependent recognition of DNA that depends on minor groove width and electrostatics, the existence of overlapping codes in protein-coding regions of the genome, and evolutionary selection for compensatory changes in nucleotide composition that facilitate nucleosome occupancy. It is becoming clear that DNA shape is important to biological function, and therefore will be subject to evolutionary constraint.