Showing papers by "Alexander Stark published in 2009"

Histone modifications at human enhancers reflect global cell-type-specific gene expression

Abstract: The human body is composed of diverse cell types with distinct functions. Although it is known that lineage specification depends on cell-specific gene expression, which in turn is driven by promoters, enhancers, insulators and other cis-regulatory DNA sequences for each gene, the relative roles of these regulatory elements in this process are not clear. We have previously developed a chromatin-immunoprecipitation-based microarray method (ChIP-chip) to locate promoters, enhancers and insulators in the human genome. Here we use the same approach to identify these elements in multiple cell types and investigate their roles in cell-type-specific gene expression. We observed that the chromatin state at promoters and CTCF-binding at insulators is largely invariant across diverse cell types. In contrast, enhancers are marked with highly cell-type-specific histone modification patterns, strongly correlate to cell-type-specific gene expression programs on a global scale, and are functionally active in a cell-type-specific manner. Our results define over 55,000 potential transcriptional enhancers in the human genome, significantly expanding the current catalogue of human enhancers and highlighting the role of these elements in cell-type-specific gene expression.

Histone Modifications at Human Enhancers Reflect Global Cell-Type-Specific Gene Expression

Abstract: The human body is composed of diverse cell types with distinct functions. Although it is known that lineage specification depends on cell-specific gene expression, which in turn is driven by promoters, enhancers, insulators and other cis-regulatory DNA sequences for each gene, the relative roles of these regulatory elements in this process are not clear. We have previously developed a chromatin-immunoprecipitation-based microarray method (ChIP-chip) to locate promoters, enhancers and insulators in the human genome. Here we use the same approach to identify these elements in multiple cell types and investigate their roles in cell-type-specific gene expression. We observed that the chromatin state at promoters and CTCF-binding at insulators is largely invariant across diverse cell types. In contrast, enhancers are marked with highly cell-type-specific histone modification patterns, strongly correlate to cell-type-specific gene expression programs on a global scale, and are functionally active in a cell-type-specific manner. Our results define over 55,000 potential transcriptional enhancers in the human genome, significantly expanding the current catalogue of human enhancers and highlighting the role of these elements in cell-type-specific gene expression.

Loss of the Mili-interacting Tudor domain-containing protein-1 activates transposons and alters the Mili-associated small RNA profile.

Abstract: Piwi proteins and their associated Piwi-interacting RNAs (piRNAs) are implicated in transposon silencing in the mouse germ line. There is currently little information on additional proteins in the murine Piwi complex and how they might regulate the entry of transcripts that accumulate as piRNAs in the Piwi ribonucleoprotein (piRNP). We isolated Mili-containing complexes from adult mouse testes and identified Tudor domain-containing protein-1 (Tdrd1) as a factor specifically associated with the Mili piRNP throughout spermatogenesis. Complex formation is promoted by the recognition of symmetrically dimethylated arginines at the N terminus of Mili by the tudor domains of Tdrd1. Similar to a Mili mutant, mice lacking Tdrd1 show derepression of L1 transposons accompanied by a loss of DNA methylation at their regulatory elements and delocalization of Miwi2 from the nucleus to the cytoplasm. Finally, we show that Mili piRNPs devoid of Tdrd1 accept the entry of abundant cellular transcripts into the piRNA pathway and accumulate piRNAs with a profile that is drastically different from that of the wild type. Our data suggest that Tdrd1 ensures the entry of correct transcripts into the normal piRNA pool.

Accurate prediction of peptide binding sites on protein surfaces.

Abstract: Many important protein–protein interactions are mediated by the binding of a short peptide stretch in one protein to a large globular segment in another. Recent efforts have provided hundreds of examples of new peptides binding to proteins for which a three-dimensional structure is available (either known experimentally or readily modeled) but where no structure of the protein–peptide complex is known. To address this gap, we present an approach that can accurately predict peptide binding sites on protein surfaces. For peptides known to bind a particular protein, the method predicts binding sites with great accuracy, and the specificity of the approach means that it can also be used to predict whether or not a putative or predicted peptide partner will bind. We used known protein–peptide complexes to derive preferences, in the form of spatial position specific scoring matrices, which describe the binding-site environment in globular proteins for each type of amino acid in bound peptides. We then scan the surface of a putative binding protein for sites for each of the amino acids present in a peptide partner and search for combinations of high-scoring amino acid sites that satisfy constraints deduced from the peptide sequence. The method performed well in a benchmark and largely agreed with experimental data mapping binding sites for several recently discovered interactions mediated by peptides, including RG-rich proteins with SMN domains, Epstein-Barr virus LMP1 with TRADD domains, DBC1 with Sir2, and the Ago hook with Argonaute PIWI domain. The method, and associated statistics, is an excellent tool for predicting and studying binding sites for newly discovered peptides mediating critical events in biology.

Coherent but overlapping expression of microRNAs and their targets during vertebrate development

Abstract: MicroRNAs (miRNAs) are small noncoding RNAs that direct post-transcriptional repression of protein-coding genes. In vertebrates, each highly conserved miRNA typically regulates hundreds of target mRNAs. However, the precise relationship between expression of the miRNAs and that of their targets has remained unclear, in part because of the scarcity of quantitative expression data at cellular resolution. Here we report quantitative analyses of mRNA levels in miRNA-expressing cells of the zebrafish embryo, capturing entire miRNA expression domains, purified to cellular resolution using fluorescent-activated cell sorting (FACS). Focus was on regulation by miR-206 and miR-133 in the developing somites and miR-124 in the developing central nervous system. Comparison of wild-type embryos and those lacking miRNAs revealed predicted targets that responded to the miRNAs and distinguished miRNA-mediated mRNA destabilization from other regulatory effects. For all three miRNAs examined, expression of the miRNAs and that of their predicted targets usually overlapped. A few targets were expressed at higher levels in miRNA-expressing cells than in the rest of the embryo, demonstrating that miRNAmediated repression can act in opposition to other regulatory processes. However, for most targets expression was lower in miRNA-expressing cells than in the rest of the embryo, indicating that miRNAs usually operate in concert with the other regulatory machinery of the cell.

Learning the transcriptional regulatory code.

Abstract: Mol Syst Biol. 5: 329 Animal development is a fascinating process: starting from a single fertilized egg, an embryo grows and embryonic cells progressively differentiate into the diverse cell types and organs that make up an adult body. All this happens autonomously according to an intrinsic blueprint of development written in the four‐letter alphabet of the genomic DNA sequence. The genome not only encodes all developmentally important genes, but also carries the information necessary to specify the spatio‐temporal patterns of gene expression. The gene‐regulatory information is contained within the sequence of defined genomic regions, so‐called cis ‐regulatory modules (CRMs) or enhancers . These elements retain their cell‐type specific activity even when placed into an artificial context, for example when combined with a minimal promoter to drive expression of a reporter gene in transgenic animals (Arnone and Davidson, 1997). CRMs contain binding sites for specific sets of transcription factors (TFs) and are generally thought to integrate the bound factors’ regulatory cues, such that enhancer activity depends on the appropriate expression of the respective TFs. The simplicity of this model is attractive and it has indeed been shown that removing TFs or disrupting their binding sites by specific mutations impairs enhancer function (Arnone and Davidson, 1997). Despite its apparent simplicity, this model implies an underlying regulatory code that determines the exact requirements for enhancer function. A strong argument for the existence of this code would be the demonstration that enhancer activity can be predicted solely from the enhancers’ TF‐binding patterns. Ideally, enhancers with known activities could be used to learn rules that would be able to correctly predict the activity of novel enhancers. In a recent study, Eileen Furlong and colleagues follow …