The H3K36me2 Methyltransferase Nsd1 Demarcates PRC2-Mediated H3K27me2 and H3K27me3 Domains in Embryonic Stem Cells

The Polycomb repressor complex 2 (PRC2) is composed of the core subunits Ezh1/2, Suz12, and Eed, and it mediates all di- and tri-methylation of histone H3 at lysine 27 in higher eukaryotes. However, little is known about how the catalytic activity of PRC2 is regulated to demarcate H3K27me2 and H3K27me3 domains across the genome. To address this, we mapped the endogenous interactomes of Ezh2 and Suz12 in embryonic stem cells (ESCs), and we combined this with a functional screen for H3K27 methylation marks. We found that Nsd1-mediated H3K36me2 co-locates with H3K27me2, and its loss leads to genome-wide expansion of H3K27me3. These increases in H3K27me3 occurred at PRC2/PRC1 target genes and as de novo accumulation within what were previously broad H3K27me2 domains. Our data support a model in which Nsd1 is a key modulator of PRC2 function required for regulating the demarcation of genome-wide H3K27me2 and H3K27me3 domains in ESCs. The Polycomb repressor complex 2 (PRC2) deposits H3K27me2 and H3K27me3 repressive histone modifications in spatially defined chromatin domains to maintain cellular identity. Streubel et al. identify the H3K36me2 methyltransferase Nsd1 as a key modulator of PRC2 to restrict H3K27me3 deposition and, thereby, to demarcate H3K27me3 from H3K27me2 domains in ESCs

Dissection of DNA Damage Responses Using Multiconditional Genetic Interaction Maps

DNA repair mechanism

H2B ubiquitylation acts as a barrier to Ctk1 nucleosomal recruitment prior to removal by Ubp8 within a SAGA-related complex.

Histone modifications play an important role in transcription. We previously studied histone H2B ubiquitylation on lysine 123 and subsequent deubiquitylation by SAGA-associated Ubp8. Unlike other histone modifications, both the addition and removal of ubiquitin are required for optimal transcription. Here we report that deubiquitylation of H2B is important for recruitment of a complex containing the kinase Ctk1, resulting in phosphorylation of the RNA polymerase II (Pol II) C-terminal domain (CTD), and for subsequent recruitment of the Set2 methyltransferase. We find that Ctk1 interacts with histones H2A and H2B, and that persistent H2B ubiquitylation disrupts these interactions. We further show that Ubp8 enters the GAL1 coding region through an interaction with Pol II. These findings reveal a mechanism by which H2B ubiquitylation acts as a barrier to Ctk1 association with active genes, while subsequent deubiquitylation by Ubp8 triggers Ctk1 recruitment at the appropriate point in activation

Collaboration-Based Function Prediction in Protein-Protein Interaction Networks

The cellular metabolism of a living organism is among the most complex systems that man is currently trying to understand. Part of it is described by so-called protein-protein interaction (PPI) networks, and much effort is spent on analyzing these networks. In particular, there has been much interest in predicting certain properties of nodes in the network (in this case, proteins) from the other information in the network. In this paper, we are concerned with predicting a protein's functions. Many approaches to this problem exist. Among the approaches that predict a protein's functions purely from its environment in the network, many are based on the assumption that neighboring proteins tend to have the same functions. In this work we generalize this assumption: we assume that certain neighboring proteins tend to have "collaborative", but not necessarily the same, functions. We propose a few methods that work under this new assumption. These methods yield better results than those previously considered, with improvements in F-measure ranging from 3% to 17%. This shows that the commonly made assumption of homophily in the network (or "guilt by association"), while useful, is not necessarily the best one can make. The assumption of collaborativeness is a useful generalization of it; it is operational (one can easily define methods that rely on it) and can lead to better results. © 2011 Springer-Verlag.Book subtitle: IDA 2011status: publishe

Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks

Contains fulltext : 103704.pdf (author's version ) (Closed access)Lecture Notes in Computer Scienc

Investigating the in vivo activity of the DeaD protein using protein-protein interactions and the translational activity of structured chloramphenicol acetyltransferase mRNAs

Here, we report the use of an in vivo protein-protein interaction detection approach together with focused follow-up experiments to study the function of the DeaD protein in Escherichia coli. In this method, functions are assigned to proteins based on the interactions they make with others in the living cell. The assigned functions are further confirmed using follow-up experiments. The DeaD protein has been characterized in vitro as a putative prokaryotic factor required for the formation of translation initiation complexes on structured mRNAs. Although the RNA helicase activity of DeaD has been demonstrated in vitro, its in vivo activity remains controversial. Here, using a method called sequential peptide affinity (SPA) tagging, we show that DeaD interacts with certain ribosomal proteins as well as a series of other nucleic acid binding proteins. Focused follow-up experiments provide evidence for the mRNA helicase activity of the DeaD protein complex during translation initiation. DeaD overexpression compensates for the reduction of the translation activity caused by a structure placed at the initiation region of a chloramphenicol acetyltransferase gene (cat) used as a reporter. Deletion of the deaD gene, encoding DeaD, abolishes the translation activity of the mRNA with an inhibitory structure at its initiation region. Increasing the growth temperature disrupts RNA secondary structures and bypasses the DeaD requirement. These observations suggest that DeaD is involved in destabilizing mRNA structures during translation initiation. This study also provides further confirmation that large-scale protein-protein interaction data can be suitable to study protein functions in E. coli