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Transcriptome profiling of Set5 and Set1 methyltransferases: Tools for visualization of gene expression.

ABSTRACT: Cells regulate transcription by coordinating the activities of multiple histone modifying complexes. We recently identified the yeast histone H4 methyltransferase Set5 and discovered functional overlap with the histone H3 methyltransferase Set1 in gene expression. Specifically, using next-generation RNA sequencing (RNA-Seq), we found that Set5 and Set1 function synergistically to regulate specific transcriptional programs at subtelomeres and transposable elements [1]. Here we provide a comprehensive description of the methodology and analysis tools corresponding to the data deposited in NCBI's Gene Expression Omnibus (GEO) under the accession number GSE52086. This data complements the experimental methods described in Mas Martín G et al., 2014, and provides the means to explore the cooperative functions of histone H3 and H4 methyltransferases in the regulation of transcription. Furthermore, a fully annotated R code is included to enable researchers to use the following computational tools: comparison of significant differential expression (SDE) profiles; gene ontology enrichment of SDE; and enrichment of SDE relative to chromosomal features, such as centromeres, telomeres, and transposable elements. Overall, we present a bioinformatics platform that can be generally implemented for similar analyses with different datasets and in different organisms.

SUBMITTER: Martin GM

PROVIDER: S-EPMC4140983 | biostudies-literature |

REPOSITORIES: biostudies-literature

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The histone methyltransferases Set5 and Set1 have overlapping functions in gene silencing and telomere maintenance.

Project description:Genes adjacent to telomeres are subject to transcriptional repression mediated by an integrated set of chromatin modifying and remodeling factors. The telomeres of Saccharomyces cerevisiae have served as a model for dissecting the function of diverse chromatin proteins in gene silencing, and their study has revealed overlapping roles for many chromatin proteins in either promoting or antagonizing gene repression. The H3K4 methyltransferase Set1, which is commonly linked to transcriptional activation, has been implicated in telomere silencing. Set5 is an H4 K5, K8, and K12 methyltransferase that functions with Set1 to promote repression at telomeres. Here, we analyzed the combined role for Set1 and Set5 in gene expression control at native yeast telomeres. Our data reveal that Set1 and Set5 promote a Sir protein-independent mechanism of repression that may primarily rely on regulation of H4K5ac and H4K8ac at telomeric regions. Furthermore, cells lacking both Set1 and Set5 have highly correlated transcriptomes to mutants in telomere maintenance pathways and display defects in telomere stability, linking their roles in silencing to protection of telomeres. Our data therefore provide insight into and clarify potential mechanisms by which Set1 contributes to telomere silencing and shed light on the function of Set5 at telomeres.

| S-EPMC5330434 | biostudies-literature

Set5 and Set1 cooperate to repress gene expression at telomeres and retrotransposons.

Project description:A complex interplay between multiple chromatin modifiers is critical for cells to regulate chromatin structure and accessibility during essential DNA-templated processes such as transcription. However, the coordinated activities of these chromatin modifiers in the regulation of gene expression are not fully understood. We previously determined that the budding yeast histone H4 methyltransferase Set5 functions together with Set1, the H3K4 methyltransferase, in specific cellular contexts. Here, we sought to understand the relationship between these evolutionarily conserved enzymes in the regulation of gene expression. We generated a comprehensive genetic interaction map of the functionally uncharacterized Set5 methyltransferase and expanded the existing genetic interactome of the global chromatin modifier Set1, revealing functional overlap of the two enzymes in chromatin-related networks, such as transcription. Furthermore, gene expression profiling via RNA-Seq revealed an unexpected synergistic role of Set1 and Set5 in repressing transcription of Ty transposable elements and genes located in subtelomeric regions. This study uncovers novel pathways in which the methyltransferase Set5 participates and, more importantly, reveals a partnership between Set1 and Set5 in transcriptional repression near repetitive DNA elements in budding yeast. Together, our results define a new functional relationship between histone H3 and H4 methyltransferases, whose combined activity may be implicated in preserving genomic integrity.

| S-EPMC4121362 | biostudies-literature

Transcriptome analysis of yeast methyltransferase mutants set5∆, set1∆ and set5∆set1∆

Project description:Purpose: Understand the synergistic relationship between the methyltransferases Set1 and Set5 in the regulation of gene expression. Methods: Total mRNA was obtained from two independent biological replicates each of wildtype (WT), set1∆, set5∆, SET5 Y402A and set1∆set5∆ S. cerevisiae strains. Libraries were generated and sequenced using an Illumina HiSeq2000 platform. The sequence reads that passed quality filters were mapped using TopHat and expression levels were quantified using Cufflinks. Results: We generated FPKM expression values for each transcript and identified the differentially expressed genes using an FDR-adjusted p-value of 0.05. Subsequent data analysis was restricted to genes with fold-change greater than 1.7 relative to WT. Our results show that Set1 and Set5 have roles primarily in transcription repression. Moreover, lack of both Set1 and Set5 results in a synergistic exhacerbation of the transcriptional derepression observed in the single mutants. Further analysis revealed a specific enrichment of the Set5/Set1-repressed genes near repetitive DNA sequences of the genome. Conclusions: Our study uncovers an unexpected synergistic role of Set1 and Set5 in transcription repression of telomeric regions and Ty retrotransposons.

2014-01-15 | GSE52086 | GEO

Transcriptome analysis of yeast methyltransferase mutants set5∆, set1∆ and set5∆set1∆

2014-01-15 | E-GEOD-52086 | biostudies-arrayexpress

RNA Binding by Histone Methyltransferases Set1 and Set2.

Project description:Histone methylation at H3K4 and H3K36 is commonly associated with genes actively transcribed by RNA polymerase II (RNAPII) and is catalyzed by Saccharomyces cerevisiae Set1 and Set2, respectively. Here we report that both methyltransferases can be UV cross-linked to RNA in vivo High-throughput sequencing of the bound RNAs revealed strong Set1 enrichment near the transcription start site, whereas Set2 was distributed along pre-mRNAs. A subset of transcripts showed notably high enrichment for Set1 or Set2 binding relative to RNAPII, suggesting functional posttranscriptional interactions. In particular, Set1 was strongly bound to the SET1 mRNA, Ty1 retrotransposons, and noncoding RNAs from the ribosomal DNA (rDNA) intergenic spacers, consistent with its previously reported silencing roles. Set1 lacking RNA recognition motif 2 (RRM2) showed reduced in vivo cross-linking to RNA and reduced chromatin occupancy. In addition, levels of H3K4 trimethylation were decreased, whereas levels of dimethylation were increased. We conclude that RNA binding by Set1 contributes to both chromatin association and methyltransferase activity.

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Gene network inference and visualization tools for biologists: application to new human transcriptome datasets.

Project description:Gene regulatory networks inferred from RNA abundance data have generated significant interest, but despite this, gene network approaches are used infrequently and often require input from bioinformaticians. We have assembled a suite of tools for analysing regulatory networks, and we illustrate their use with microarray datasets generated in human endothelial cells. We infer a range of regulatory networks, and based on this analysis discuss the strengths and limitations of network inference from RNA abundance data. We welcome contact from researchers interested in using our inference and visualization tools to answer biological questions.

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Insights on the regulation of the MLL/SET1 family histone methyltransferases.

Project description:In eukaryotes, histone H3K4 methylation by the MLL/SET1 family histone methyltransferases is enriched at transcription regulatory elements including gene promoters and enhancers. The level of H3K4 methylation is highly correlated with transcription activation and is one of the most frequently used histone post-translational modifications to predict transcriptional outcome. Recently, it has been shown that rearrangement of the cellular landscape of H3K4 mono-methylation at distal enhancers precedes cell fate transition and is used for identification of novel regulatory elements for development and disease progression. Similarly, broad H3K4 tri-methylation regions have also been used to predict intrinsic tumor suppression properties of regulator regions in a variety of cellular models. Understanding the regulation for how H3K4 methylation is deposited and regulated is of paramount importance. In this review, we will discuss new findings on how the MLL/SET1 family enzymes are regulated on chromatin and their potential functional and regulatory implications. This article is part of a Special Issue entitled: The MLL family of proteins in normal development and disease edited by Thomas A Milne.

| S-EPMC7236755 | biostudies-literature

Epigenetic regulation of planarian stem cells by the SET1/MLL family of histone methyltransferases.

Project description:Chromatin regulation is a fundamental mechanism underlying stem cell pluripotency, differentiation, and the establishment of cell type-specific gene expression profiles. To examine the role of chromatin regulation in stem cells in vivo, we study regeneration in the freshwater planarian Schmidtea mediterranea. These animals possess a high concentration of pluripotent stem cells, which are capable of restoring any damaged or lost tissues after injury or amputation. Here, we identify the S. mediterranea homologs of the SET1/MLL family of histone methyltransferases and COMPASS and COMPASS-like complex proteins and investigate their role in stem cell function during regeneration. We identified six S. mediterranea homologs of the SET1/MLL family (set1, mll1/2, trr-1, trr-2, mll5-1 and mll5-2), characterized their patterns of expression in the animal, and examined their function by RNAi. All members of this family are expressed in the stem cell population and differentiated tissues. We show that set1, mll1/2, trr-1, and mll5-2 are required for regeneration and that set1, trr-1 and mll5-2 play roles in the regulation of mitosis. Most notably, knockdown of the planarian set1 homolog leads to stem cell depletion. A subset of planarian homologs of COMPASS and COMPASS-like complex proteins are also expressed in stem cells and implicated in regeneration, but the knockdown phenotypes suggest that some complex members also function in other aspects of planarian biology. This work characterizes the function of the SET1/MLL family in the context of planarian regeneration and provides insight into the role of these enzymes in adult stem cell regulation in vivo.

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Structural basis for WDR5 interaction (Win) motif recognition in human SET1 family histone methyltransferases.

Project description:Translocations and amplifications of the mixed lineage leukemia-1 (MLL1) gene are associated with aggressive myeloid and lymphocytic leukemias in humans. MLL1 is a member of the SET1 family of histone H3 lysine 4 (H3K4) methyltransferases, which are required for transcription of genes involved in hematopoiesis and development. MLL1 associates with a subcomplex containing WDR5, RbBP5, Ash2L, and DPY-30 (WRAD), which together form the MLL1 core complex that is required for sequential mono- and dimethylation of H3K4. We previously demonstrated that WDR5 binds the conserved WDR5 interaction (Win) motif of MLL1 in vitro, an interaction that is required for the H3K4 dimethylation activity of the MLL1 core complex. In this investigation, we demonstrate that arginine 3765 of the MLL1 Win motif is required to co-immunoprecipitate WRAD from mammalian cells, suggesting that the WDR5-Win motif interaction is important for the assembly of the MLL1 core complex in vivo. We also demonstrate that peptides that mimic SET1 family Win motif sequences inhibit H3K4 dimethylation by the MLL1 core complex with varying degrees of efficiency. To understand the structural basis for these differences, we determined structures of WDR5 bound to six different naturally occurring Win motif sequences at resolutions ranging from 1.9 to 1.2 Å. Our results reveal that binding energy differences result from interactions between non-conserved residues C-terminal to the Win motif and to a lesser extent from subtle variation of residues within the Win motif. These results highlight a new class of methylation inhibitors that may be useful for the treatment of MLL1-related malignancies.

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