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Kevin Struhl

Publications and source records attributed to Kevin Struhl.

At least 19 recordsLinked to original sources
PubMed2006

The transition between transcriptional initiation and elongation in E. coli is highly variable and often rate limiting.

We perform a genome-wide analysis of the transition between transcriptional initiation and elongation in Escherichia coli by determining the association of core RNA polymerase (RNAP) and the promoter-recognition factor sigma70 with respect to RNA transcripts. We identify 1286 sigma70-associated promoters, including many internal to known operons, and demonstrate that sigma70 is usually released very rapidly from elongating RNAP complexes. On average, RNAP density is higher at the promoter than in the coding sequence, although the ratio is highly variable among different transcribed regions. Strikingly, a significant fraction of RNAP-bound promoters is not associated with transcriptional activity, perhaps due to an intrinsic energetic barrier to promoter escape. Thus, the transition from transcriptional initiation to elongation is highly variable, often rate limiting, and in some cases is essentially blocked such that RNAP is effectively "poised" to transcribe only under the appropriate environmental conditions. The genomic pattern of RNAP density in E. coli differs from that in yeast and mammalian cells.

Chromatin Immunoprecipitation↗
PubMed2006

Relationships between p63 binding, DNA sequence, transcription activity, and biological function in human cells.

Using tiled microarrays covering the entire human genome, we identify approximately 5800 target sites for p63, a p53 homolog essential for stratified epithelial development. p63 targets are enriched for genes involved in cell adhesion, proliferation, death, and signaling pathways. The quality of the derived DNA sequence motif for p63 targets correlates with binding strength binding in vivo, but only a small minority of motifs in the genome is bound by p63. Conversely, many p63 targets have motif scores expected for random genomic regions. Thus, p63 binding in vivo is highly selective and often requires additional factors beyond the simple protein-DNA interaction. There is a significant, but complex, relationship between p63 target sites and p63-responsive genes, with DeltaNp63 isoforms being linked to transcriptional activation. Many p63 binding regions are evolutionarily conserved and/or associated with sequence motifs for other transcription factors, suggesting that a substantial portion of p63 sites is biologically relevant.

Apoptosis↗
PubMed2006

Rank-statistics based enrichment-site prediction algorithm developed for chromatin immunoprecipitation on chip experiments.

BACKGROUND: High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method employed in tiling arrays is unbiased, and thus ensures consistent sampling across coding and non-coding regions of the genome. Tiling arrays are increasingly used in chromatin immunoprecipitation (IP) experiments (ChIP on chip). ChIP on chip facilitates the generation of genome-wide maps of in-vivo interactions between DNA-associated proteins including transcription factors and DNA. Analysis of the hybridization of an immunoprecipitated sample to a tiling array facilitates the identification of ChIP-enriched segments of the genome. These enriched segments are putative targets of antibody assayable regulatory elements. The enrichment response is not ubiquitous across the genome. Typically 5 to 10% of tiled probes manifest some significant enrichment. Depending upon the factor being studied, this response can drop to less than 1%. The detection and assessment of significance for interactions that emanate from non-canonical and/or un-annotated regions of the genome is especially challenging. This is the motivation behind the proposed algorithm. RESULTS: We have proposed a novel rank and replicate statistics-based methodology for identifying and ascribing statistical confidence to regions of ChIP-enrichment. The algorithm is optimized for identification of sites that manifest low levels of enrichment but are true positives, as validated by alternative biochemical experiments. Although the method is described here in the context of ChIP on chip experiments, it can be generalized to any treatment-control experimental design. The results of the algorithm show a high degree of concordance with independent biochemical validation methods. The sensitivity and specificity of the algorithm have been characterized via quantitative PCR and independent computational approaches. CONCLUSION: The algorithm ranks all enrichment sites based on their intra-replicate ranks and inter-replicate rank consistency. Following the ranking, the method allows segmentation of sites based on a meta p-value, a composite array signal enrichment criterion, or a composite of these two measures. The sensitivities obtained subsequent to the segmentation of data using a meta p-value of 10-5, an array signal enrichment of 0.2 and a composite of these two values are 88%, 87% and 95%, respectively.

Algorithms↗
PubMed2006

Extensive functional overlap between sigma factors in Escherichia coli.

Bacterial core RNA polymerase (RNAP) must associate with a sigma factor to recognize promoter sequences. Escherichia coli encodes seven sigma factors, each believed to be specific for a largely distinct subset of promoters. Using microarrays representing the entire E. coli genome, we identify 87 in vivo targets of sigma32, the heat-shock sigma factor, and estimate that there are 120-150 sigma32 promoters in total. Unexpectedly, 25% of these sigma32 targets are located within coding regions, suggesting novel regulatory roles for sigma32. The majority of sigma32 promoter targets overlap with those of sigma70, the housekeeping sigma factor. Furthermore, their DNA sequence motifs are often interdigitated, with RNAPsigma70 and RNAPsigma32 initiating transcription in vitro with similar efficiency and from identical positions. SigmaE-regulated promoters also overlap extensively with those for sigma70. These results suggest that extensive functional overlap between sigma factors is an important phenomenon.

Binding Sites↗
PubMed2006

The stress-activated Hog1 kinase is a selective transcriptional elongation factor for genes responding to osmotic stress.

Regulation of gene expression by stress-activated protein kinases (SAPKs) is essential for cell adaptation to extracellular stimuli. Exposure of yeast to high osmolarity results in activation of the SAPK Hog1, which associates with transcription factors bound at target promoters and stimulates transcriptional initiation. Unexpectedly, activated Hog1 also associates with elongating Pol II and components of the elongation complex. Hog1 is selectively recruited to the entire coding region of osmotic stress genes, but not to constitutively expressed genes. Selective association of Hog1 with the transcribed region of osmoresponsive genes is determined by the 3' untranslated region (3' UTR). Lastly, Hog1 is important for the amount of the RNA polymerase II (Pol II) elongation complex and of mRNA produced from genes containing osmoresponsive coding regions. Thus, in addition to its various functions during transcriptional initiation, Hog1 behaves as a transcriptional elongation factor that is selective for genes induced upon osmotic stress.

3' Untranslated Regions↗
PubMed2006

Asf1 mediates histone eviction and deposition during elongation by RNA polymerase II.

Histones are rapidly evicted and deposited during transcription by RNA polymerase (Pol) II, but a factor that mediates histone eviction in vivo has not yet been identified. Here, we show that the histone chaperone Asf1 associates with promoters and coding regions of transcriptionally active genes. Asf1 mediates histone H3, but not H2B, eviction and deposition during Pol II elongation, suggesting that nucleosome assembly and disassembly occur in a stepwise fashion. Lastly, Asf1 inhibits internal initiation from cryptic promoters within coding regions. These results strongly suggest that Asf1 functions as an elongation factor to disassemble and reassemble histones during Pol II elongation.

Cell Cycle Proteins↗
PubMed2006

Activator-specific recruitment of Mediator in vivo.

The Mediator complex associates with eukaryotic RNA polymerase (Pol) II and is recruited to transcriptional enhancers by activator proteins. It is believed that Mediator is a general component of the Pol II machinery that is crucial to connect enhancer-bound activators to basic transcription factors. However, we show that Mediator does not detectably associate with many highly active Pol II promoters in yeast cells. Furthermore, in response to stress conditions, Mediator association is not directly related to Pol II association and in some cases is not detectable at highly activated promoters. Thus, Mediator is recruited to enhancers in an activator-specific manner, and it does not seem to be a stoichiometric component of the basic Pol II machinery in vivo. Mediator is recruited by many activators involved in stress responses, but not by the major activators that function under optimal conditions.

Copper↗
PubMed2006

Genome-wide location analysis of the stress-activated MAP kinase Hog1 in yeast.

MAP kinase signal transduction pathways play a critical role in eukaryotic cells to unleash complex transcriptional programs to properly adapt to changing environments. The MAP kinase Hog1 upon activation is physically recruited to the chromatin of osmostress responsive genes. This allowed us to use in vivo chromatin immunoprecipitation in combination with microarrays (ChIP-Chip) to identify the transcriptional targets of Hog1 at the genomic scale. The ChIP-Chip method described here revealed that the stress-activated MAP kinase gets recruited to most of the osmoinducible genes. Interestingly Hog1 associates with both the 5' upstream and the 3' downstream sequences of stress genes. We confirmed by targeted ChIP at several stress genes that the MAP kinase crosslinks all over the transcribed regions in all cases tested. Taken together the genome-wide location analysis reported here is a powerful approach to determine the genomic binding patterns of an activated MAP kinase and will be of great interest to analyze other SAPKs under different environmental conditions.

Chromatin Immunoprecipitation↗
PubMed2006

Differential gene regulation by selective association of transcriptional coactivators and bZIP DNA-binding domains.

bZIP DNA-binding domains are targets for viral and cellular proteins that function as transcriptional coactivators. Here, we show that MBF1 and the related Chameau and HBO1 histone acetylases interact with distinct subgroups of bZIP proteins, whereas pX does not discriminate. Selectivity of Chameau and MBF1 for bZIP proteins is mediated by residues in the basic region that lie on the opposite surface from residues that contact DNA. Chameau functions as a specific coactivator for the AP-1 class of bZIP proteins via two arginine residues. A conserved glutamic acid/glutamine in the linker region underlies MBF1 specificity for a subgroup of bZIP factors. Chameau and MBF1 cannot synergistically coactivate transcription due to competitive interactions with the basic region, but either protein can synergistically coactivate with pX. Analysis of Jun derivatives that selectively interact with these coactivators reveals that MBF1 is crucial for the response to oxidative stress, whereas Chameau is important for the response to chemical and osmotic stress. Thus, the bZIP domain mediates selective interactions with coactivators and hence differential regulation of gene expression.

Amino Acid Sequence↗
PubMed2006

An HMG protein, Hmo1, associates with promoters of many ribosomal protein genes and throughout the rRNA gene locus in Saccharomyces cerevisiae.

HMG proteins are architectural proteins that bind to DNA with low sequence specificity, but little is known about their genomic location and biological functions. Saccharomyces cerevisiae encodes 10 HMG proteins, including Hmo1, which is important for maximal transcription of rRNA. Here we use chromatin immunoprecipitation coupled with microarray analysis to determine the genome-wide association of Hmo1. Unexpectedly, Hmo1 binds strongly to the promoters of most ribosomal protein (RP) genes and to a number of other specific genomic locations. Hmo1 binding to RP promoters requires Rap1 and (to a lesser extent) Fhl1, proteins that also associate with RP promoters. Hmo1, like Fhl1 and Ifh1, typically associates with an IFHL motif in RP promoters, but deletion of the IFHL motif has a very modest effect on Hmo1 binding. Surprisingly, loss of Hmo1 abolishes binding of Fhl1 and Ifh1 to RP promoters but does not significantly affect the level of transcriptional activity. These results suggest that Hmo1 is required for the assembly of transcription factor complexes containing Fhl1 and Ifh1 at RP promoters and that proteins other than Fhl1 and Ifh1 also play an important role in RP transcription. Lastly, like mammalian UBF, Hmo1 associates at many locations throughout the rRNA gene locus, and it is important for processing of rRNA in addition to its role in rRNA transcription. We speculate that Hmo1 has a role in coordinating the transcription of rRNA and RP genes.

Amino Acid Motifs↗
PubMed2005

Eaf3 chromodomain interaction with methylated H3-K36 links histone deacetylation to Pol II elongation.

Eaf3, a component of the NuA4 histone acetylase and Rpd3 histone deacetylase complexes, is important for the global pattern of histone acetylation in Saccharomyces cerevisiae. Preferential deacetylation of coding regions requires the Eaf3 chromodomain and H3-K36 methylation by Set2. The Eaf3 chromodomain interacts with methylated H3-K36 peptides, suggesting that this interaction leads to preferential association and histone deacetylation of the 3' portions of coding regions by the Rpd3 complex. However, the Eaf3 chromodomain and H3-K36 methylation do not significantly affect acetylation at promoters, suggesting that Eaf3 has a distinct function, presumably in the NuA4 complex. Lastly, Eaf3 inhibits internal initiation within mRNA coding regions in a manner similar to FACT and Spt6. Our results link the pattern of preferential deacetylation at coding regions to the underlying patterns of H3-K36 methylation and phosphorylation of the RNA polymerase II C-terminal domain, and ultimately to the mechanism by which repressive chromatin structure is restored after transcriptional elongation.

Acetylation↗
PubMed2005

Genomic analysis of LexA binding reveals the permissive nature of the Escherichia coli genome and identifies unconventional target sites.

Genomes of eukaryotic organisms are packaged into nucleosomes that restrict the binding of transcription factors to accessible regions. Bacteria do not contain histones, but they have nucleoid-associated proteins that have been proposed to function analogously. Here, we combine chromatin immunoprecipitation and high-density oligonucleotide microarrays to define the in vivo DNA targets of the LexA transcriptional repressor in Escherichia coli. We demonstrate a near-universal relationship between the presence of a LexA sequence motif, LexA binding in vitro, and LexA binding in vivo, suggesting that a suitable recognition site for LexA is sufficient for binding in vivo. Consistent with this observation, LexA binds comparably to ectopic target sites introduced at various positions in the genome. We also identify approximately 20 novel LexA targets that lack a canonical LexA sequence motif, are not bound by LexA in vitro, and presumably require an additional factor for binding in vivo. Our results indicate that, unlike eukaryotic genomes, the E. coli genome is permissive to transcription factor binding. The permissive nature of the E. coli genome has important consequences for the nature of transcriptional regulatory proteins, biological specificity, and evolution.

Bacterial Proteins↗
PubMed2005

Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization.

Chromatin immunoprecipitation combined with microarray technology (Chip2) allows genome-wide determination of protein-DNA binding sites. The current standard method for analyzing Chip2 data requires additional control experiments that are subject to systematic error. We developed methods to assess significance using variance stabilization, learning error-model parameters without external control experiments. The method was validated experimentally, shows greater sensitivity than the current standard method, and incorporates false-discovery rate analysis. The corresponding software ('Chipper') is freely available. The method described here should help reveal an organism's transcription-regulatory 'wiring diagram'.

Analysis of Variance↗
PubMed2005

Intrinsic histone-DNA interactions and low nucleosome density are important for preferential accessibility of promoter regions in yeast.

In yeast cells, preferential accessibility of the HIS3-PET56 promoter region is determined by a general property of the DNA sequence, not by defined sequence elements. In vivo, this region is largely devoid of nucleosomes, and accessibility is directly related to reduced histone density. The HIS3-PET56 and DED1 promoter regions associate poorly with histones in vitro, indicating that intrinsic nucleosome stability is a major determinant of preferential accessibility. Specific and genome-wide analyses indicate that low nucleosome density is a very common feature of yeast promoter regions that correlates poorly with transcriptional activation. Thus, the yeast genome is organized into structurally distinct promoter and nonpromoter regions whose DNA sequences inherently differ with respect to nucleosome formation. This organization ensures that transcription factors bind preferentially to appropriate sites in promoters, rather than to the excess of irrelevant sites in nonpromoter regions.

Base Sequence↗
PubMed2005

Heterochromatin formation involves changes in histone modifications over multiple cell generations.

Stable, epigenetic inactivation of gene expression by silencing complexes involves a specialized heterochromatin structure, but the kinetics and pathway by which euchromatin is converted to the stable heterochromatin state are poorly understood. Induction of heterochromatin in Saccharomyces cerevisiae by expression of the silencing protein Sir3 results in rapid loss of histone acetylation, whereas removal of euchromatic histone methylation occurs gradually through several cell generations. Unexpectedly, Sir3 binding and the degree of transcriptional repression gradually increase for 3-5 cell generations, even though the intracellular level of Sir3 remains constant. Strains lacking Sas2 histone acetylase or the histone methylases that modify lysines 4 (Set1) or 79 (Dot1) of H3 display accelerated Sir3 accumulation at HMR or its spreading away from the telomere, suggesting that these histone modifications exert distinct inhibitory effects on heterochromatin formation. These findings suggest an ordered pathway of heterochromatin assembly, consisting of an early phase, driven by active enzymatic removal of histone acetylation and resulting in incomplete transcriptional silencing, followed by a slower maturation phase, in which gradual loss of histone methylation enhances Sir association and silencing. Thus, the transition between euchromatin and heterochromatin is gradual and requires multiple cell division cycles.

Chromatin Assembly and Disassembly↗
PubMed2005

Distinction and relationship between elongation rate and processivity of RNA polymerase II in vivo.

A number of proteins and drugs have been implicated in the process of transcriptional elongation by RNA polymerase (Pol) II, but the factors that govern the elongation rate (nucleotide additions per min) and processivity (nucleotide additions per initiation event) in vivo are poorly understood. Here, we show that a mutation in the Rpb2 subunit of Pol II reduces both the elongation rate and processivity in vivo. In contrast, none of the putative elongation factors tested affect the elongation rate, although mutations in the THO complex and in Spt4 significantly reduce processivity. The drugs 6-azauracil and mycophenolic acid reduce both the elongation rate and processivity, and this processivity defect is aggravated by mutations in Spt4, TFIIS, and CTDK-1. Our results suggest that, in vivo, a reduced rate of Pol II elongation leads to premature dissociation along the chromatin template and that Pol II processivity can be uncoupled from elongation rate.

Antibiotics, Antineoplastic↗
PubMed2005

Genomewide identification of Sko1 target promoters reveals a regulatory network that operates in response to osmotic stress in Saccharomyces cerevisiae.

In Saccharomyces cerevisiae, the ATF/CREB transcription factor Sko1 (Acr1) regulates the expression of genes induced by osmotic stress under the control of the high osmolarity glycerol (HOG) mitogen-activated protein kinase pathway. By combining chromatin immunoprecipitation and microarrays containing essentially all intergenic regions, we estimate that yeast cells contain approximately 40 Sko1 target promoters in vivo; 20 Sko1 target promoters were validated by direct analysis of individual loci. The ATF/CREB consensus sequence is not statistically overrepresented in confirmed Sko1 target promoters, although some sites are evolutionarily conserved among related yeast species, suggesting that they are functionally important in vivo. These observations suggest that Sko1 association in vivo is affected by factors beyond the protein-DNA interaction defined in vitro. Sko1 binds a number of promoters for genes directly involved in defense functions that relieve osmotic stress. In addition, Sko1 binds to the promoters of genes encoding transcription factors, including Msn2, Mot3, Rox1, Mga1, and Gat2. Stress-induced expression of MSN2, MOT3, and MGA1 is diminished in sko1 mutant cells, while transcriptional regulation of ROX1 seems to be unaffected. Lastly, Sko1 targets PTP3, which encodes a phosphatase that negatively regulates Hog1 kinase activity, and Sko1 is required for osmotic induction of PTP3 expression. Taken together our results suggest that Sko1 operates a transcriptional network upon osmotic stress, which involves other specific transcription factors and a phosphatase that regulates the key component of the signal transduction pathway.

Base Sequence↗