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First published February 22, 2013 - More info
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To address insulin insufficiency, diabetes research has long focused on techniques for replacing insulin-producing β cells. Studies in mice have suggested that, under some conditions, α cells possess the capacity to transdifferentiate into β cells, although the mechanisms that drive this conversion are unclear. In this issue, Bramswig et al. analyzed the methylation states of purified human α, β, and acinar cells and found α cells exhibit intrinsic phenotypic plasticity associated with specific histone methylation profiles. In addition to expanding our understanding of this potential source of β cells, this compendium of carefully generated human gene expression and epigenomic data in islet cell subtypes constitutes a truly valuable resource for the field.
The critical step that results in clinically manifested diabetes mellitus is loss (in type 1 diabetes due to autoimmune destruction) or deterioration (as in type 2 diabetes) of the functional pancreatic β cell mass required to meet the body’s demands for insulin. Understandably, a central goal in diabetes research has been to uncover strategies that could result in the replenishment of these cells. Whether the basic therapeutic approach might be to transplant replacement β cells grown ex vivo or to induce new β cell formation in vivo, an appropriate starting cell source must be identified and acceptable manipulations developed to produce normally functioning tissue.
While built on the extensive trove of knowledge of embryonic pancreatic islet development and the specific differentiation of β cells, most approaches have relied on best-guess trial and error tactics. This applies to both the cell target and the intervention employed. Amazingly, a number of cell and tissue types have been successfully induced to express insulin and exhibit many β cell characteristics (1) both in vitro (mouse and human embryonic stem cells, ref. 2) and in vivo (in mouse liver, refs. 3, 4; intestine, ref. 5; pancreatic exocrine, ref. 6; and glucagon-producing islet α cells, refs. 7–9). In mice, lineage tracing has confirmed that near total ablation of the β cell population can induce transdifferentiation of α cells to a β cell phenotype (7). This was a somewhat unexpected finding because an earlier lineage-tracing study showed that, during development, β cells do not arise from glucagon-expressing progenitors (10). The α to β phenotype switch can also be elicited by transgenic misexpression in α cells of a single protein, Pax4, a transcription factor required for β cell formation during development (8).
However, key questions remain unanswered. What is it about a particular cell type that makes it amenable to reprogramming or transdifferentiation (plasticity) to a β cell phenotype? Can specific interventions be identified and optimally matched to a given target cell for maximal efficacy? There are numerous levels and modalities at work acting in concert that determine the activity of a gene, including large-scale chromatin structure, gene accessibility, DNA methylation, posttranslational modifications of histones, and the function of transcription factors and their accessory proteins. Our growing understanding of these complex epigenetic and transcriptional mechanisms reveals an elegantly orchestrated process that controls gene transcription during development, differentiation, and regeneration.
Major inroads have been made into characterizing the transcriptional regulatory landscape of the genome in the context of whole islets (11–13). Moreover, recent studies in mice have examined the expressed transcriptome of β cell–enriched islet cell populations that were isolated by cell sorting on the basis of scattering/flavin adenine dinucleotide (FAD) fluorescence (14) or insulin promoter–driven GFP (15). In the former study by the Ferrer group (14), whole genome mapping of individual histone methylation marks that correlate with active (H3K4me3) and repressed (H3K27me3) genes was performed in ES cells, embryonic pancreas, whole islets, pancreatic exocrine, and other tissue types. That group concluded that, in the process of development, β cells acquired gene expression and active chromatin profiles most resembling neural tissues, consistent with their functional phenotype. However, the β cell profile of Polycomb-mediated repressive marks was most closely related to those of exocrine pancreas and liver, which was proposed to reflect their common endodermal origins (14). Importantly, the Ferrer group did not examine characteristics of the α cell population in that study, and it is this topic that is the focus of the work in this issue by Bramswig et al., a collaborative effort of the Grompe and Kaestner labs (16).
The basis of this study is the capacity to FACS isolate enriched populations of human pancreatic islet α cells, β cells, and exocrine (duct and acinar) cells (17, 18). Cell-type–specific discrimination was established by comparisons of gene expression profiles using RNA sequencing (RNA-Seq) of each fraction. Genome histone methylation profiles of H3K4me3 and H3K27me3 marks were analyzed from each sample by ChIP/ultra high-throughput sequencing (ChIP-Seq). Genes were scored for histone methylation occurring in one of four patterns: monovalent H3K4me3 (associated with active promoters), monovalent H3K27me3 (associated with polycomb-repressed genes), bivalent H3K4me3 and H3K27me3, or the absence of histone methylation. As expected, emblematic α cell–specific genes (e.g., glucagon) were marked only by H3K4me3 in α cells and by repression-associated H3K27me3 in other cell types. β Cell–specific genes (e.g., insulin) were similarly marked. However, the authors found that the great majority of genes with monovalent H3K4me3 or monovalent H3K27me3 marks were not cell-type restricted, but common to all cell types analyzed, consistent with the results from the human genome–wide ENCODE study, which showed that for a large fraction of genes, most cell types share a common activity status (19).
However, the story takes an important turn when the bivalently marked genes were assessed. Bivalent H3K4me3 plus H3K27me3 marked genes are found at increased frequency in pluripotent stem cells and in developing embryos (20–22). While not rigorously proven, the general consensus is that such genes are associated with phenotypic plasticity, and while inactive, they are poised for rapid activation via a derepression event. In the above-cited study by the Ferrer group, a conversion of bivalent marks in ES cells and embryonic pancreas to monovalent marks in isolated adult β cells was found for a subset of “neural-related” genes (14). Bramswig et al. found that α cells harbored many more bivalently marked genes than either β or exocrine cells. Of the bivalently marked genes in α cells, roughly half were monovalently marked (by either H3K4me3 or H3K27me3) in β cells. In the reverse comparison, only a quarter of β cell bivalent genes were monovalently tagged in α cells. Many more bivalently marked genes in α cells than in β cells were associated with developmental processes or transcriptional regulation. Finally, when genes with known roles unique to mature α cells or specific for α cell development were considered, most were marked by H3K4me3 in α cells and monovalently (mainly by H3K27me3) in β cells. When the converse comparison was made, most β cell–specific function and development genes were H3K4me3 marked in β cells, but the majority of these were bivalently marked in α cells (ref. 16 and Figure 1).
Asymmetry of β and α cell histone methylation. In β cells, most β cell–specific genes (e.g., insulin) are monovalently marked as active by histone H3K4me3 (green), whereas α cell–specific genes (e.g., glucagon) are marked as repressed by histone H3K27me3 (red). The converse largely applies to α cells; however, Bramswig et al. show that several genes specifically required for β cell differentiation (e.g., PDX1, MAFA) are bivalently marked in α cells by H3K4me3 and H3K27me3, indicating a paused state with potential for activation. This potential does not appear to apply to α cell development genes in β cells.
Taken together, these data were interpreted as supporting the conclusion that on the basis of histone methylation profiles, α cells should have greater potential for plasticity than β cells (or exocrine cells), possibly contributing to the capacity for α to β transdifferentiation when the appropriate stimuli are applied. This work sets the stage for direct tests of this principle, including the demonstration of how Pax4 can induce α to β cell conversion. Bramswig et al. found that Pax4 was not expressed in mature α or β cells, and its gene was monovalently marked with repressive H3K27me3 in both cell types. A predicted outcome of Pax4 overexpression in islets would be a loss of the H3K27me3 mark on bivalently marked “β cell genes” in the α cell population, accompanied by an increase in transcription. Similar approaches could be taken for other cell types that can be transdifferentiated into β-like cells to uncover common themes that define plasticity and potential for β cell differentiation.
Histone methylation patterns are associated with gene expression activity, but are not absolute determinants that can be applied as robust, unbiased predictors of gene activity. For example, it is known that a subset of genes marked by only H3K4me3 are not transcriptionally active (23, 24) Indeed, Bramswig et al. found that a large fraction of the monovalently H3K4me3 marked genes were not expressed (16). This may be due to other mechanisms involved in regulation of gene activity, including the presence of CpG islands, higher order chromatin structure, DNA methylation, other posttranslational modifications of histones, or individual transcription factors. On the other hand, the monovalent H3K27me3 mark is very tightly associated with a repressed state (25). The “ready” status of bivalently marked genes is an assumption based on association. Rigorously determining whether a given bivalent mark is equivalent to a poised state would require establishing whether RNA pol II was poised or paused at the appropriate location, ready for release and transcriptional elongation, a highly focused and technically challenging experiment (26).
Another significant caveat to the interpretation of bivalent marks in this study could alter the conclusions: the presence of more than one cell type in a sample. Bramswig et al. isolated α cell–enriched fractions, but these were likely not pure populations. The RNA-Seq data suggested that the β cell–enriched sample included a significant number of somatostatin-expressing δ cells, while the α cell fraction contained PPY-expressing cells. If in one cell type, a given gene bears only H3K4me3 and in the other cell type it is H3K27me3-marked, separate H3K4me3 and H3K27me3 ChIP analysis would suggest bivalency. Similarly, heterogeneity among the α cell population, as has been shown for β cells (27), might also be interpreted as bivalency in this study. In either case, competence for α to β transdifferentiation could be due to factors other than true histone methylation bivalency, such as a subset of α cells that are competent to undergo conversion to β cells.
This question might be addressed by assessing presence of both histone marks on a single allele by sequential Chip (so called Chip-reChip), wherein the chromatin is first precipitated with an antibody against one histone mark and then reprecipitated with an antibody to the second mark (28). Indeed, this exact approach has been used to demonstrate H3K4me3/H3K27me3 bivalency of genes during a key step in the differentiation of embryonic stem cells to insulin-expressing endocrine cells (29).
The confounding issue of cellular heterogeneity will present a major challenge for the next phase of the ENCODE human genome study as analysis moves from cell lines to native tissues (19). In the near future, further refinement of reagents are expected; this will provide higher purity enrichment of individual cell types. Moreover, improvements in techniques will reduce required sample sizes, allowing for simultaneous analysis of multiple epigenetic marks and other types of data to significantly enhance predictive power.
To more directly tie methylation status to gene expression, Bramswig et al. treated intact human islets with Adox, a nonspecific methylation inhibitor, which is known to decrease H3K27me3 levels. Adox treatment resulted in a decrease in H3K27me3 at the β cell–specific genes PDX1 and MAFA. Because these genes are monovalently marked with H3K4me3 in β cells and bivalently marked in α cells, the decline represents derepression in α cells. A striking finding was that, when islets were examined by immunofluorescence, double glucagon/insulin staining cells could be visualized in treated but not untreated islets. Treated and untreated islets were then sorted by cell type and subjected to RNA-Seq analysis. They found overall changes in expression, suggesting that α cells had become more β-like, but β cells were not more α-like (16).
Thus Bramswig et al. have demonstrated that histone methylation is involved in α to β cell conversion and that the phenotype of α cells is plastic and amenable to pharmacological intervention. Furthermore, these results may help explain the surprising finding that Glucagon-cre–targeted knockout of menin in α cells leads to insulinoma formation (30), as one proposed activity of menin is the modulation of the Mll family of histone methylases (31).
There is an obvious interest in the possibility of exploiting α cells as a source of replacement β cells. For in vivo interventions to reach the bedside, pharmacological tools for triggering this targeted transdifferentiation pathway will need to be developed. As discussed above, the findings of Bramswig et al. point to a methylation-sensitive step that could be a drug target, especially as more specific methylase inhibitors become available. Alternatively, progress is being made in the development of pharmacologic inhibitors of the histone mark readers, the multiprotein complexes that are responsible for recognizing a specific mark and bringing about transcriptional activation or repression (32). There are already early phase studies describing high throughput screens for compounds that can induce insulin expression in α-like cell lines (33).
An intriguing finding in the α cell Pax4 overexpression mouse study is that the α to β cell conversion does not result in a loss of α cells because it is accompanied by an extensive hyperplasia of glucagon-expressing cells (8). It has been known for some time that knockout of the glucagon receptor or administration of glucagon receptor inhibitors results in α cell hyperplasia and even tumor development (34, 35). The Drucker lab recently demonstrated that mice with liver-specific knockout of the glucagon receptor also experience α cell hyperplasia (36), suggesting that a circulating factor may drive this response, which if isolated could lead to the development of drugs to expand α cell mass. Perhaps diabetes therapy could be as simple as 2 swings of the alchemist’s wand, the first expanding the endogenous islet α cell population and the second inducing conversion to functioning β cells.
Thus, Bramswig et al. show a way past the experimental barrier of islet cellular heterogeneity and provide a valuable resource to rationally design novel approaches for the generation of β cells by epigenetic reprogramming.
Thanks to Christopher B. Newgard for critical reading of the manuscript.
Conflict of interest: The author has declared that no conflict of interest exists.
Citation for this article:J Clin Invest. 2013;123(3):1007–1010. doi:10.1172/JCI68348.
See the related article beginning on page 1275.
Copyright © 2015 American Society for Clinical Investigation