Joost H.A. Martens

mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity

Introduction Trained immunity refers to the memory characteristics of the innate immune system. Memory traits of innate immunity have been reported in plants and invertebrates, as well as in mice lacking functional T and B cells that are protected against secondary infections after exposure to certain infections or vaccinations. The underlying mechanism of trained immunity is represented by epigenetic programming through histone modifications, leading to stronger gene transcription upon restimulation. However, the specific cellular processes that mediate trained immunity in monocytes or macrophages are poorly understood. Aerobic glycolysis as metabolic basis for trained immunity. In naïve macrophages during aerobic conditions, glucose metabolism is mainly geared toward oxidative phosphorylation providing adenosine triphosphate (ATP) as the energy source. In contrast, long-term functional reprogramming during trained immunity requires a metabolic shift toward aerobic glycolysis and is induced through a dec tin-1–Akt–mTOR–HIF-1α pathway. Methods We studied a model of trained immunity, induced by the β-glucan component of Candida albicans, that was previously shown to induce nonspecific protection against both infections and malignancies. Genome-wide transcriptome and histone modification profiles were performed and pathway analysis was applied to identify the cellular processes induced during monocyte training. Biological validations were performed in human primary monocytes and in two experimental models in vivo. Results In addition to immune signaling pathways, glycolysis genes were strongly upregulated in terms of histone modification profiling, and this was validated by RNA sequencing of cells from β-glucan–treated mice. The biochemical characterizations of the β-glucan–trained monocytes revealed elevated aerobic glycolysis with reduced basal respiration rate, increased glucose consumption and lactate production, and higher intracellular ratio of nicotinamide adenine dinucleotide (NAD+) to its reduced form (NADH). The dectin-1–Akt–mTOR–HIF-1α pathway (mTOR, mammalian target of rapamycin; HIF-1α, hypoxia-inducible factor–1α) was responsible for the metabolic shift induced by β-glucan. Trained immunity was completely abrogated in monocytes from dectin-1–deficient patients. Blocking of the mTOR–HIF-1α pathway by chemical inhibitors inhibited trained immunity. Mice receiving metformin, an adenosine monophosphate–activated protein kinase (AMPK) activator that subsequently inhibits mTOR, lost the trained immunity–induced protection against lethal C. albicans infection. The role of the mTOR–HIF-1α pathway for β-glucan–induced innate immune memory was further validated in myeloid-specific HIF-1α knockout (mHIF-1α KO) mice that, unlike wild-type mice, were not protected against Staphylococcus aureus sepsis. Discussion The shift of central glucose metabolism from oxidative phosphorylation to aerobic glycolysis (the “Warburg effect”) meets the spiked need for energy and biological building blocks for rapid proliferation during carcinogenesis or clonal expansion in activated lymphocytes. We found that an elevated glycolysis is the metabolic basis for trained immunity as well, providing the energy and metabolic substrates for the increased activation of trained immune cells. The identification of glycolysis as a fundamental process in trained immunity further highlights a key regulatory role for metabolism in innate host defense and defines a potential therapeutic target in both infectious and inflammatory diseases. A BLUEPRINT of immune cell development To determine the epigenetic mechanisms that direct blood cells to develop into the many components of our immune system, the BLUEPRINT consortium examined the regulation of DNA and RNA transcription to dissect the molecular traits that govern blood cell differentiation. By inducing immune responses, Saeed et al. document the epigenetic changes in the genome that underlie immune cell differentiation. Cheng et al. demonstrate that trained monocytes are highly dependent on the breakdown of sugars in the presence of oxygen, which allows cells to produce the energy needed to mount an immune response. Chen et al. examine RNA transcripts and find that specific cell lineages use RNA transcripts of different length and composition (isoforms) to form proteins. Together, the studies reveal how epigenetic effects can drive the development of blood cells involved in the immune system. Science, this issue 10.1126/science.1251086, 10.1126/science.1250684, 10.1126/science.1251033 Epigenetic profiling identifies the cellular metabolic substrate of innate immune memory. Epigenetic reprogramming of myeloid cells, also known as trained immunity, confers nonspecific protection from secondary infections. Using histone modification profiles of human monocytes trained with the Candida albicans cell wall constituent β-glucan, together with a genome-wide transcriptome, we identified the induced expression of genes involved in glucose metabolism. Trained monocytes display high glucose consumption, high lactate production, and a high ratio of nicotinamide adenine dinucleotide (NAD+) to its reduced form (NADH), reflecting a shift in metabolism with an increase in glycolysis dependent on the activation of mammalian target of rapamycin (mTOR) through a dectin-1–Akt–HIF-1α (hypoxia-inducible factor–1α) pathway. Inhibition of Akt, mTOR, or HIF-1α blocked monocyte induction of trained immunity, whereas the adenosine monophosphate–activated protein kinase activator metformin inhibited the innate immune response to fungal infection. Mice with a myeloid cell–specific defect in HIF-1α were unable to mount trained immunity against bacterial sepsis. Our results indicate that induction of aerobic glycolysis through an Akt–mTOR–HIF-1α pathway represents the metabolic basis of trained immunity.

Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity

Introduction Monocytes circulate in the bloodstream for up to 3 to 5 days. Concomitantly, immunological imprinting of either tolerance (immunosuppression) or trained immunity (innate immune memory) determines the functional fate of monocytes and monocyte-derived macrophages, as observed after infection or vaccination. The epigenome, DNase I accessibility, and transcriptome were characterized in purified human circulating monocytes, in vitro differentiated naïve, tolerized (immunosuppression), and trained macrophages (innate immune memory). This allowed the identification of pathways functionally implicated in innate immune memory. This epigenetic signature of human monocyte-to-macrophage differentiation and monocyte training generates hypotheses to understand and manipulate medically relevant immune conditions. Methods Purified circulating monocytes from healthy volunteers were differentiated under the homeostatic macrophage colony-stimulating factor concentrations present in human serum. During the first 24 hours, trained immunity was induced by β-glucan (BG) priming, and postsepsis immunoparalysis was mimicked by exposure to lipopolysaccharide (LPS), generating endotoxin-induced tolerance. Epigenomic profiling of the histone marks H3K4me1, H3K4me3, and H3K27ac, DNase I accessibility, and RNA sequencing were performed at both the start of the experiment (ex vivo monocytes) and at the end of the 6 days of in vitro culture (macrophages). Results Compared with monocytes (Mo), naïve macrophages (Mf ) display a remodeled metabolic enzyme repertoire and attenuated innate inflammatory pathways, most likely necessary to generate functional tissue macrophages. Epigenetic profiling uncovered about 8000 dynamic regions associated with about 11,000 DNase I hypersensitive sites. Changes in histone acetylation identified most dynamic events. Furthermore, these regions of differential histone marks displayed some degree of DNase I accessibility that was already present in monocytes. H3K4me1 mark increased in parallel with de novo H3K27ac deposition at distal regulatory regions; H3K4me1 mark remained even after the loss of H3K27ac, marking decommissioned regulatory elements. β-glucan priming specifically induced about 3000 distal regulatory elements, whereas LPS tolerization induced H3K27ac at about 500 distal regulatory regions. At the transcriptional level, we identified coregulated gene modules during monocyte-to-macrophage differentiation, as well as discordant modules between trained and tolerized cells. These indicate that training likely involves an increased expression of modules expressed in naïve macrophages, including genes that code for metabolic enzymes. On the other hand, endotoxin tolerance involves gene modules that are more active in monocytes than in naïve macrophages. About 12% of known human transcription factors display variation in expression during macrophage differentiation, training, and tolerance. We also observed transcription factor motifs in DNase I hypersensitive sites at condition-specific dynamic epigenomic regions, implying that specific transcription factors are required for trained and tolerized macrophage epigenetic and transcriptional programs. Finally, our analyses and functional validation indicate that the inhibition of cyclic adenosine monophosphate generation blocked trained immunity in vitro and during an in vivo model of lethal Candida albicans infection, abolishing the protective effects of trained immunity. Discussion We documented the importance of epigenetic regulation of the immunological pathways underlying monocyte-to-macrophage differentiation and trained immunity. These dynamic epigenetic elements may inform on potential pharmacological targets that modulate innate immunity. Altogether, we uncovered the epigenetic and transcriptional programs of monocyte differentiation to macrophages that distinguish tolerant and trained macrophage phenotypes, providing a resource to further understand and manipulate immune-mediated responses. A BLUEPRINT of immune cell development To determine the epigenetic mechanisms that direct blood cells to develop into the many components of our immune system, the BLUEPRINT consortium examined the regulation of DNA and RNA transcription to dissect the molecular traits that govern blood cell differentiation. By inducing immune responses, Saeed et al. document the epigenetic changes in the genome that underlie immune cell differentiation. Cheng et al. demonstrate that trained monocytes are highly dependent on the breakdown of sugars in the presence of oxygen, which allows cells to produce the energy needed to mount an immune response. Chen et al. examine RNA transcripts and find that specific cell lineages use RNA transcripts of different length and composition (isoforms) to form proteins. Together, the studies reveal how epigenetic effects can drive the development of blood cells involved in the immune system. Science, this issue 10.1126/science.1251086, 10.1126/science.1250684, 10.1126/science.1251033 Genome-wide approaches analyze human monocyte differentiation in vitro into functional macrophages. Monocyte differentiation into macrophages represents a cornerstone process for host defense. Concomitantly, immunological imprinting of either tolerance or trained immunity determines the functional fate of macrophages and susceptibility to secondary infections. We characterized the transcriptomes and epigenomes in four primary cell types: monocytes and in vitro–differentiated naïve, tolerized, and trained macrophages. Inflammatory and metabolic pathways were modulated in macrophages, including decreased inflammasome activation, and we identified pathways functionally implicated in trained immunity. β-glucan training elicits an exclusive epigenetic signature, revealing a complex network of enhancers and promoters. Analysis of transcription factor motifs in deoxyribonuclease I hypersensitive sites at cell-type–specific epigenetic loci unveiled differentiation and treatment-specific repertoires. Altogether, we provide a resource to understand the epigenetic changes that underlie innate immunity in humans.

PML-RARα/RXR Alters the Epigenetic Landscape in Acute Promyelocytic Leukemia

Many different molecular mechanisms have been associated with PML-RARalpha-dependent transformation of hematopoietic progenitors. Here, we identified high confidence PML-RARalpha binding sites in an acute promyelocytic leukemia (APL) cell line and in two APL primary blasts. We found colocalization of PML-RARalpha with RXR to the vast majority of these binding regions. Genome-wide epigenetic studies revealed that treatment with pharmacological doses of all-trans retinoic acid induces changes in H3 acetylation, but not H3K27me3, H3K9me3, or DNA methylation at the PML-RARalpha/RXR binding sites or at nearby target genes. Our results suggest that PML-RARalpha/RXR functions as a local chromatin modulator and that specific recruitment of histone deacetylase activities to genes important for hematopoietic differentiation, RAR signaling, and epigenetic control is crucial to its transforming potential.

BLUEPRINT to decode the epigenetic signature written in blood

volume 30 number 3 march 2012 nature biotechnology To the Editor: Last October, scientists gathered in Amsterdam to celebrate the start of BLUEPRINT (http://www.blueprintepigenome.eu/), an EU-funded consortium that will generate epigenomic maps of at least 100 different blood cell types. With this initiative, Europe has pledged a substantial contribution to the ultimate goal of the International Human Epigenome Consortium (IHEC) to map 1,000 human epigenomes. Here, we provide a brief background to the scientific questions that prompted the formation of BLUEPRINT, summarize the overall goals of BLUEPRINT and detail the specific areas in which the consortium will focus its initial efforts and resources. In mammals, nucleated cells share the same genome but have different epigenomes depending on the cell type and many other factors, resulting in an astounding diversity in phenotypic plasticity with respect to morphology and function. This diversity is defined by cell-specific patterns of gene expression, which are controlled through regulatory sites in the genome to which transcription factors bind. In eukaryotes, access to these sites is orchestrated via chromatin, the complex of DNA, RNA and proteins that constitutes the functional platform of the genome. In contrast with DNA, chromatin is not static but highly dynamic, particularly through modifications of histones at nucleosomes and cytosines at the DNA level that together define the epigenome, the epigenetic state of the cell. Advances in new genomics technologies, particularly next-generation sequencing, allow the epigenome to be studied in a holistic fashion, leading to a better understanding of chromatin function and functional annotation of the genome. Yet little is known about how epigenetic characteristics vary between different cell types, in health and disease or among individuals. This lack of a quantitative framework for the dynamics of the epigenome and its determinants is a major hurdle for the translation of epigenetic observations into regulatory models, the identification of associations between epigenotypes and diseases, and the subsequent development of new classes of compounds for disease prevention and treatment. The task, however, is daunting as each of the several hundred cell types in the human body is expected to show specific epigenomic features that are further expected to respond to environmental inputs in time and space. The research community has realized these limitations and the need for concerted action. The IHEC was founded to coordinate large-scale international efforts toward the goal of a comprehensive human epigenome reference atlas (http://www.ihec-epigenomes. org/). The IHEC will coordinate epigenomic mapping and characterization worldwide to avoid redundant research efforts, implement high data quality standards, coordinate data storage, management and analysis, and provide free access to the epigenomes produced. The maps generated under the umbrella of the IHEC contain detailed information on DNA methylation, histone modification, nucleosome occupancy, and corresponding coding and noncoding RNA expression in different normal and diseased cell types. This will allow integration of different layers of epigenetic information for a wide variety of distinct cell types and thus provide a resource for both basic and applied research. BLUEPRINT aims to bridge the gap in our current knowledge between individual components of the epigenome and their functional dynamics through state-of-the-art analysis in a defined set of primarily human hematopoietic cells from healthy and diseased individuals. Mammalian blood formation or hematopoiesis is one of the best-studied systems of stem cell biology. Blood formation can be viewed as a hierarchical process, and classically, differentiation is defined to occur along the myeloid and lymphoid lineages. The identity of cellular intermediates and the geometry of branch points are still under intense investigation and therefore provide a paradigm for delineation of fundamental principles of cell fate determination and regulation of proliferation and lifespan, which differ considerably between different types of blood cells. BLUEPRINT will generate reference epigenomes of at least 50 specific blood cell types and their malignant counterparts and aim to provide high-quality reference epigenomes of primary cells from >60 individuals with detailed genetic and, where appropriate, medical records. To account for and quantify the impact of DNA sequence variation on epigenome differences, BLUEPRINT will work whenever possible on samples of known genetic variation, including samples from the Cambridge BioResource (Cambridge, UK), the International Cancer Genome Consortium and the British Diabetic Twin Study for disease-discordant monozygotic twin samples. The Wellcome Trust Sanger Institute (Hinxton, UK) will also provide full genomic sequencing for up to 100 samples. BLUEPRINT will harness existing proven technologies to generate reference epigenomes, including RNA-Seq for transcriptome analysis, bisulfite sequencing for methylome analysis, DNaseI-Seq for analysis of hypersensitive sites and ChIPSeq for analysis of at least six histone marks. Moreover, BLUEPRINT aims to develop new technologies to enhance high-throughput epigenome mapping, particularly when using few cells. BLUEPRINT is initially focusing on four main areas. One main goal of the project is to comprehensively analyze diverse epigenomic maps and make them available as an integrated BLUEPRINT-IHEC resource to the scientific community. Integration is envisioned for related projects within species (e.g., the 1000 Genomes Project) and between species (e.g., modENCODE) to better understand functional aspects (e.g., shared pathways) and the evolution of cell lineage development. Analysis of the BLUEPRINT data is expected to catalyze a better understanding of the relationship between epigenetic and genomic information and will form the basis for generation of new methods (e.g., epigenetic imputation) for prediction of epigenetic states from epigenomic profiles. Such prediction methods will facilitate a move toward a more quantitative knowledge and modeling of epigenetic mechanisms. As a result, such models could in the future assist in ‘reverse engineering’ of regulatory networks to repair or restore epigenetic codes that have been perturbed by disease. A second goal of BLUEPRINT is to systematically link epigenetic variation with phenotypic plasticity in health and disease. This will be attempted in three ways. First, genetic and epigenetic varation in two blood cell types from 100 healthy individuals will be analyzed. These measurements will be combined with whole-genome and transcriptome sequencing to dissect the interplay between common DNA sequence BLUEPRINT to decode the epigenetic signature written in blood CORRESPONDENCE

Transcriptional diversity during lineage commitment of human blood progenitors

Introduction Blood production in humans culminates in the daily release of around 1011 cells into the circulation, mainly platelets and red blood cells. All blood cells originate from a minute population of hematopoietic stem cells (HSCs) that expands and differentiates into progenitor cells with increasingly restricted lineage choice. Characterizing alternative splicing events involved in hematopoiesis is critical for interpreting the effects of mutations leading to inherited disorders and blood cancers and for the rational design of strategies to advance transplantation and regenerative medicine. Overview of methodology. RNA-sequencing reads from human blood progenitors [opaque cells in (A)] were mapped to the transcriptome to quantify gene and transcript expression. Reads were also mapped to the genome to identify novel splice junctions and characterize alternative splicing events (B). Rationale To address this, we explored the transcriptional diversity of human blood progenitors by sequencing RNA from six progenitor and two precursor populations representing the classical myeloid commitment stages of hematopoiesis and the main lymphoid stage. Data were aligned to the human reference transcriptome and genome to quantify known transcript isoforms and to identify novel splicing events, respectively. We used Bayesian polytomous model selection to classify transcripts into distinct expression patterns across the three cell types that comprise each differentiation step. Results We identified extensive transcriptional changes involving 6711 genes and 10,724 transcripts and validated a number of these. Many of the changes at the transcript isoform level did not result in significant changes at the gene expression level. Moreover, we identified transcripts unique to each of the progenitor populations, observing enrichment in non–protein-coding elements at the early stages of differentiation. We discovered 7881 novel splice junctions and 2301 differentially used alternative splicing events, enriched in genes involved in regulatory processes and often resulting in the gain or loss of functional domains. Of the alternative splice sites displaying differential usage, 73% resulted in exon-skipping events involving at least one protein domain (38.5%) or introducing a premature stop codon (26%). Enrichment analysis of RNA-binding motifs provided insights into the regulation of cell type–specific splicing events. To demonstrate the importance of specific isoforms in driving lineage fating events, we investigated the role of a transcription factor highlighted by our analyses. Our data show that nuclear factor I/B (NFIB) is highly expressed in megakaryocytes and that it is transcribed from an unannotated transcription start site preceding a novel exon. The novel NFIB isoform lacks the DNA binding/dimerization domain and therefore is unable to interact with its binding partner, NFIC. We further show that NFIB and NFIC are important in megakaryocyte differentiation. Conclusion We produced a quantitative catalog of transcriptional changes and splicing events representing the early progenitors of human blood. Our analyses unveil a previously undetected layer of regulation affecting cell fating, which involves transcriptional isoforms switching without noticeable changes at the gene level and resulting in the gain or loss of protein functions. A BLUEPRINT of immune cell development To determine the epigenetic mechanisms that direct blood cells to develop into the many components of our immune system, the BLUEPRINT consortium examined the regulation of DNA and RNA transcription to dissect the molecular traits that govern blood cell differentiation. By inducing immune responses, Saeed et al. document the epigenetic changes in the genome that underlie immune cell differentiation. Cheng et al. demonstrate that trained monocytes are highly dependent on the breakdown of sugars in the presence of oxygen, which allows cells to produce the energy needed to mount an immune response. Chen et al. examine RNA transcripts and find that specific cell lineages use RNA transcripts of different length and composition (isoforms) to form proteins. Together, the studies reveal how epigenetic effects can drive the development of blood cells involved in the immune system. Science, this issue 10.1126/science.1251086, 10.1126/science.1250684, 10.1126/science.1251033 RNA sequencing identifies how different cell fate decisions are made during blood cell differentiation. Blood cells derive from hematopoietic stem cells through stepwise fating events. To characterize gene expression programs driving lineage choice, we sequenced RNA from eight primary human hematopoietic progenitor populations representing the major myeloid commitment stages and the main lymphoid stage. We identified extensive cell type–specific expression changes: 6711 genes and 10,724 transcripts, enriched in non–protein-coding elements at early stages of differentiation. In addition, we found 7881 novel splice junctions and 2301 differentially used alternative splicing events, enriched in genes involved in regulatory processes. We demonstrated experimentally cell-specific isoform usage, identifying nuclear factor I/B (NFIB) as a regulator of megakaryocyte maturation—the platelet precursor. Our data highlight the complexity of fating events in closely related progenitor populations, the understanding of which is essential for the advancement of transplantation and regenerative medicine.

Suv39h-Dependent H3K9me3 Marks Intact Retrotransposons and Silences LINE Elements in Mouse Embryonic Stem Cells

Heterochromatin is required to restrict aberrant expression of retrotransposons, but it remains poorly defined due to the underlying repeat-rich sequences. We dissected Suv39h-dependent histone H3 lysine 9 trimethylation (H3K9me3) by genome-wide ChIP sequencing in mouse embryonic stem cells (ESCs). Refined bioinformatic analyses of repeat subfamilies indicated selective accumulation of Suv39h-dependent H3K9me3 at interspersed repetitive elements that cover ∼5% of the ESC epigenome. The majority of the ∼8,150 intact long interspersed nuclear elements (LINEs) and endogenous retroviruses (ERVs), but only a minor fraction of the >1.8 million degenerate and truncated LINEs/ERVs, are enriched for Suv39h-dependent H3K9me3. Transcriptional repression of intact LINEs and ERVs is differentially regulated by Suv39h and other chromatin modifiers in ESCs but governed by DNA methylation in committed cells. These data provide a function for Suv39h-dependent H3K9me3 chromatin to specifically repress intact LINE elements in the ESC epigenome.

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

Summary Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Summary Characterizing the multifaceted contribution of genetic and epigenetic factors to disease phenotypes is a major challenge in human genetics and medicine. We carried out high-resolution genetic, epigenetic, and transcriptomic profiling in three major human immune cell types (CD14+ monocytes, CD16+ neutrophils, and naive CD4+ T cells) from up to 197 individuals. We assess, quantitatively, the relative contribution of cis-genetic and epigenetic factors to transcription and evaluate their impact as potential sources of confounding in epigenome-wide association studies. Further, we characterize highly coordinated genetic effects on gene expression, methylation, and histone variation through quantitative trait locus (QTL) mapping and allele-specific (AS) analyses. Finally, we demonstrate colocalization of molecular trait QTLs at 345 unique immune disease loci. This expansive, high-resolution atlas of multi-omics changes yields insights into cell-type-specific correlation between diverse genomic inputs, more generalizable correlations between these inputs, and defines molecular events that may underpin complex disease risk.

ERG and FLI1 binding sites demarcate targets for aberrant epigenetic regulation by AML1-ETO in acute myeloid leukemia

ERG and FLI1 are closely related members of the ETS family of transcription factors and have been identified as essential factors for the function and maintenance of normal hematopoietic stem cells. Here genome-wide analysis revealed that both ERG and FLI1 occupy similar genomic regions as AML1-ETO in t(8;21) AMLs and identified ERG/FLI1 as proteins that facilitate binding of oncofusion protein complexes. In addition, we demonstrate that ERG and FLI1 bind the RUNX1 promoter and that shRNA-mediated silencing of ERG leads to reduced expression of RUNX1 and AML1-ETO, consistent with a role of ERG in transcriptional activation of these proteins. Finally, we identify H3 acetylation as the epigenetic mark preferentially associated with ETS factor binding. This intimate connection between ERG/FLI1 binding and H3 acetylation implies that one of the molecular strategies of oncofusion proteins, such as AML1-ETO and PML-RAR-α, involves the targeting of histone deacetylase activities to ERG/FLI1 bound hematopoietic regulatory sites. Together, these results highlight the dual importance of ETS factors in t(8;21) leukemogenesis, both as transcriptional regulators of the oncofusion protein itself as well as proteins that facilitate AML1-ETO binding.

The molecular signature of oncofusion proteins in acute myeloid leukemia.

Acute myeloid leukemia (AML) associated translocations often cause gene fusions that encode oncofusion proteins. Although many of the breakpoints involved in chromosomal translocations have been cloned, in most cases the role of the chimeric proteins in tumorigenesis is not elucidated. Here we will discuss the fusion proteins of the 4 most common translocations associated with AML as well as the common molecular mechanisms that these four and other fusion proteins utilize to transform progenitor cells. Intriguingly, although the individual partners within the fusion proteins represent a wide variety of cellular functions, at the molecular level many commodities can be found.