Transcription reinitiation rate: a special role for the TATA box

Comparative cofactor screens show the influence of transactivation domains and core promoters on the mechanisms of transcription

Eukaryotic transcription factors (TFs) activate gene expression by recruiting cofactors to promoters. However, the relationships between TFs, promoters and their associated cofactors remain poorly understood. Here we combine GAL4-transactivation assays with comparative CRISPR-Cas9 screens to identify the cofactors used by nine different TFs and core promoters in human cells. Using this dataset, we associate TFs with cofactors, classify cofactors as ubiquitous or specific and discover transcriptional co-dependencies. Through a reductionistic, comparative approach, we demonstrate that TFs do not display discrete mechanisms of activation. Instead, each TF depends on a unique combination of cofactors, which influences distinct steps in transcription. By contrast, the influence of core promoters appears relatively discrete. Different promoter classes are constrained by either initiation or pause-release, which influences their dynamic range and compatibility with cofactors. Overall, our comparative cofactor screens characterize the interplay between TFs, cofactors and core promoters, identifying general principles by which they influence transcription.

Compatibility rules of human enhancer and promoter sequences

Gene regulation in the human genome is controlled by distal enhancers that activate specific nearby promoters1. A proposed model for this specificity is that promoters have sequence-encoded preferences for certain enhancers, for example, mediated by interacting sets of transcription factors or cofactors2. This 'biochemical compatibility' model has been supported by observations at individual human promoters and by genome-wide measurements in Drosophila3-9. However, the degree to which human enhancers and promoters are intrinsically compatible has not yet been systematically measured, and how their activities combine to control RNA expression remains unclear. Here we design a high-throughput reporter assay called enhancer × promoter self-transcribing active regulatory region sequencing (ExP STARR-seq) and applied it to examine the combinatorial compatibilities of 1,000 enhancer and 1,000 promoter sequences in human K562 cells. We identify simple rules for enhancer-promoter compatibility, whereby most enhancers activate all promoters by similar amounts, and intrinsic enhancer and promoter activities multiplicatively combine to determine RNA output (R2 = 0.82). In addition, two classes of enhancers and promoters show subtle preferential effects. Promoters of housekeeping genes contain built-in activating motifs for factors such as GABPA and YY1, which decrease the responsiveness of promoters to distal enhancers. Promoters of variably expressed genes lack these motifs and show stronger responsiveness to enhancers. Together, this systematic assessment of enhancer-promoter compatibility suggests a multiplicative model tuned by enhancer and promoter class to control gene transcription in the human genome.

TATA and paused promoters active in differentiated tissues have distinct expression characteristics

Core promoter types differ in the extent to which RNA polymerase II (Pol II) pauses after initiation, but how this affects their tissue-specific gene expression characteristics is not well understood. While promoters with Pol II pausing elements are active throughout development, TATA promoters are highly active in differentiated tissues. We therefore used a genomics approach on late-stage Drosophila embryos to analyze the properties of promoter types. Using tissue-specific Pol II ChIP-seq, we found that paused promoters have high levels of paused Pol II throughout the embryo, even in tissues where the gene is not expressed, while TATA promoters only show Pol II occupancy when the gene is active. The promoter types are associated with different chromatin accessibility in ATAC-seq data and have different expression characteristics in single-cell RNA-seq data. The two promoter types may therefore be optimized for different properties: paused promoters show more consistent expression when active, while TATA promoters have lower background expression when inactive. We propose that tissue-specific genes have evolved to use two different strategies for their differential expression across tissues.

Multiple domains in the 50 kDa form of E4F1 regulate promoter-specific repression and E1A trans-activation

The 50 kDa N-terminal product of the cellular transcription factor E4F1 (p50E4F1) mediates E1A289R trans-activation of the adenovirus E4 gene, and suppresses E1A-mediated transformation by sensitizing cells to cell death. This report shows that while both E1A289R and E1A243R stimulate p50E4F1 DNA binding activity, E1A289R trans-activation, as measured using GAL-p50E4F1 fusion proteins, involves a p50E4F1 transcription regulatory (TR) region that must be promoter-bound and is dependent upon E1A CR3, CR1 and N-terminal domains. Trans-activation is promoter-specific, as GAL-p50E4F1 did not stimulate commonly used artificial promoters and was strongly repressive when competing against GAL-VP16. p50E4F1 and E1A289R stably associate in vivo using the p50E4F1 TR region and E1A CR3, although their association in vitro is indirect and paradoxically disrupted by MAP kinase phosphorylation of E1A289R, which stimulates E4 trans-activation in vivo. Multiple cellular proteins, including TBP, bind the p50E4F1 TR region in vitro. The mechanistic implications for p50E4F1 function are discussed.

Promoter-specific dynamics of TATA-binding protein association with the human genome

Transcription factor binding to target sites in vivo is a dynamic process that involves cycles of association and dissociation, with individual proteins differing in their binding dynamics. The dynamics at individual sites on a genomic scale have been investigated in yeast cells, but comparable experiments have not been done in multicellular eukaryotes. Here, we describe a tamoxifen-inducible, time-course ChIP-seq approach to measure transcription factor binding dynamics at target sites throughout the human genome. As observed in yeast cells, the TATA-binding protein (TBP) typically displays rapid turnover at RNA polymerase (Pol) II-transcribed promoters, slow turnover at Pol III promoters, and very slow turnover at the Pol I promoter. Turnover rates vary widely among Pol II promoters in a manner that does not correlate with the level of TBP occupancy. Human Pol II promoters with slow TBP dissociation preferentially contain a TATA consensus motif, support high transcriptional activity of downstream genes, and are linked with specific activators and chromatin remodelers. These properties of human promoters with slow TBP turnover differ from those of yeast promoters with slow turnover. These observations suggest that TBP binding dynamics differentially affect promoter function and gene expression, possibly at the level of transcriptional reinitiation/bursting.

Linking Core Promoter Classes to Circadian Transcription

Circadian rhythms in transcription are generated by rhythmic abundances and DNA binding activities of transcription factors. Propagation of rhythms to transcriptional initiation involves the core promoter, its chromatin state, and the basal transcription machinery. Here, I characterize core promoters and chromatin states of genes transcribed in a circadian manner in mouse liver and in Drosophila. It is shown that the core promoter is a critical determinant of circadian mRNA expression in both species. A distinct core promoter class, strong circadian promoters (SCPs), is identified in mouse liver but not Drosophila. SCPs are defined by specific core promoter features, and are shown to drive circadian transcriptional activities with both high averages and high amplitudes. Data analysis and mathematical modeling further provided evidence for rhythmic regulation of both polymerase II recruitment and pause release at SCPs. The analysis provides a comprehensive and systematic view of core promoters and their link to circadian mRNA expression in mouse and Drosophila, and thus reveals a crucial role for the core promoter in regulated, dynamic transcription.

A single-molecule view of transcription reveals convoys of RNA polymerases and multi-scale bursting

Live-cell imaging has revealed unexpected features of gene expression. Here using improved single-molecule RNA microscopy, we show that synthesis of HIV-1 RNA is achieved by groups of closely spaced polymerases, termed convoys, as opposed to single isolated enzymes. Convoys arise by a Mediator-dependent reinitiation mechanism, which generates a transient but rapid succession of polymerases initiating and escaping the promoter. During elongation, polymerases are spaced by few hundred nucleotides, and physical modelling suggests that DNA torsional stress may maintain polymerase spacing. We additionally observe that the HIV-1 promoter displays stochastic fluctuations on two time scales, which we refer to as multi-scale bursting. Each time scale is regulated independently: Mediator controls minute-scale fluctuation (convoys), while TBP-TATA-box interaction controls sub-hour fluctuations (long permissive/non-permissive periods). A cellular promoter also produces polymerase convoys and displays multi-scale bursting. We propose that slow, TBP-dependent fluctuations are important for phenotypic variability of single cells.

HIV-1 viral gene expression stochastically switches between active and inactive states. Here, using improved single molecule RNA microscopy, the authors show that HIV-1 RNA stochastic transcription is achieved by groups of closely spaced polymerases, and is regulated by Mediator and TBP at different time scales.

DNA signals at isoform promoters

Transcriptional heterogeneity is extensive in the genome, and most genes express variable transcript isoforms. However, whether variable transcript isoforms of one gene are regulated by common promoter elements remain to be elucidated. Here, we investigated whether isoform promoters of one gene have separated DNA signals for transcription and translation initiation. We found that TATA box and nucleosome-disfavored DNA sequences are prevalent in distinct transcript isoform promoters of one gene. These DNA signals are conserved among species. Transcript isoform has a RNA-determined unstructured region around its start site. We found that these DNA/RNA features facilitate isoform transcription and translation. These results suggest a DNA-encoded mechanism by which transcript isoform is generated.

Affinity and competition for TBP are molecular determinants of gene expression noise

Cell-to-cell variation in gene expression levels (noise) generates phenotypic diversity and is an important phenomenon in evolution, development and disease. TATA-box binding protein (TBP) is an essential factor that is required at virtually every eukaryotic promoter to initiate transcription. While the presence of a TATA-box motif in the promoter has been strongly linked with noise, the molecular mechanism driving this relationship is less well understood. Through an integrated analysis of multiple large-scale data sets, computer simulation and experimental validation in yeast, we provide molecular insights into how noise arises as an emergent property of variable binding affinity of TBP for different promoter sequences, competition between interaction partners to bind the same surface on TBP (to either promote or disrupt transcription initiation) and variable residence times of TBP complexes at a promoter. These determinants may be fine-tuned under different conditions and during evolution to modulate eukaryotic gene expression noise.

Investigating transcription reinitiation through in vitro approaches

By influencing the number of RNA molecules repeatedly synthesized from the same gene, the control of transcription reinitiation has the potential to shape the transcriptome. Transcription reinitiation mechanisms have been mainly addressed in vitro, through approaches based on both crude and reconstituted systems. These studies support the notion that transcription reinitiation and its regulation rely on dedicated networks of molecular interactions within transcription machineries. At the same time, comparison with in vivo transcription rates suggests that additional mechanisms, factors and conditions must exist in the nucleus, whose biochemical elucidation is a fascinating challenge for future in vitro transcription studies.

DTIE, a novel core promoter element that directs start site selection in TATA-less genes

The transcription start site (TSS) determines the length and composition of the 5′ UTR and therefore can have a profound effect on translation. Yet, little is known about the mechanism underlying start site selection, particularly from promoters lacking conventional core elements such as TATA-box and Initiator. Here we report a novel mechanism of start site selection in the TATA- and Initiator-less promoter of miR-22, through a strictly localized downstream element termed DTIE and an upstream distal element. Changing the distance between them reduced promoter strength, altered TSS selection and diminished Pol II recruitment. Biochemical assays suggest that DTIE does not serve as a docking site for TFIID, the major core promoter-binding factor. TFIID is recruited to the promoter through DTIE but is dispensable for TSS selection. We determined DTIE consensus and found it to be remarkably prevalent, present at the same TSS downstream location in ≈20.8% of human promoters, the vast majority of which are TATA-less. Analysis of DTIE in the tumor suppressor p53 confirmed a similar function. Our findings reveal a novel mechanism of transcription initiation from TATA-less promoters.

Multiplex Eukaryotic Transcription (In)activation: Timing, Bursting and Cycling of a Ratchet Clock Mechanism

Activation of eukaryotic transcription is an intricate process that relies on a multitude of regulatory proteins forming complexes on chromatin. Chromatin modifications appear to play a guiding role in protein-complex assembly on chromatin. Together, these processes give rise to stochastic, often bursting, transcriptional activity. Here we present a model of eukaryotic transcription that aims to integrate those mechanisms. We use stochastic and ordinary-differential-equation modeling frameworks to examine various possible mechanisms of gene regulation by multiple transcription factors. We find that the assembly of large transcription factor complexes on chromatin via equilibrium-binding mechanisms is highly inefficient and insensitive to concentration changes of single regulatory proteins. An alternative model that lacks these limitations is a cyclic ratchet mechanism. In this mechanism, small protein complexes assemble sequentially on the promoter. Chromatin modifications mark the completion of a protein complex assembly, and sensitize the local chromatin for the assembly of the next protein complex. In this manner, a strict order of protein complex assemblies is attained. Even though the individual assembly steps are highly stochastic in duration, a sequence of them gives rise to a remarkable precision of the transcription cycle duration. This mechanism explains how transcription activation cycles, lasting for tens of minutes, derive from regulatory proteins residing on chromatin for only tens of seconds. Transcriptional bursts are an inherent feature of such transcription activation cycles. Bursting transcription can cause individual cells to remain in synchrony transiently, offering an explanation of transcriptional cycling as observed in cell populations, both on promoter chromatin status and mRNA levels.

Co-occurrence of transcription and translation gene regulatory features underlies coordinated mRNA and protein synthesis

Background

Variability in protein levels is generated through intricate control of the different gene decoding phases. Presently little is known about the links between the various gene expression stages. Here we investigated the relationship between transcription and translation regulatory properties encoded in mammalian genes.

Results

We found that the TATA-box, a core promoter element known to enhance transcriptional output, is associated not only with higher mRNA levels but also with positive translation regulatory features and elevated translation efficiency. Further investigation revealed general association between transcription and translation regulatory trends. Specifically, translation inhibitory features such as the presence of upstream AUG (uAUG) and increased lengths of the 5′UTR, the coding sequence and the 3′UTR, are strongly associated with lower translation as well as lower transcriptional rate.

Conclusions

Our findings reveal that co-occurrence of several gene-encoded transcription and translation regulatory features with the same trend substantially contributes to the final mRNA and protein expression levels and enables their coordination.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-688) contains supplementary material, which is available to authorized users.

Disparity between microRNA levels and promoter strength is associated with initiation rate and Pol II pausing

MicroRNAs are transcribed by RNA polymerase II but the transcriptional features influencing their synthesis are poorly defined. Here we report that a TATA box in microRNA and protein-coding genes is associated with increased sensitivity to slow RNA polymerase II. Promoters driven by TATA box or NF-κB elicit high re-initiation rates, but paradoxically lower microRNA levels. MicroRNA synthesis becomes more productive by decreasing the initiation rate, but less productive when the re-initiation rate increases. This phenomenon is associated with a delay in miR-146a induction by NF-κB. Finally, we demonstrate that microRNAs are remarkably strong pause sites. Our findings suggest that lower efficiency of microRNA synthesis directed by TATA box or NF-κB is a consequence of frequent transcription initiations that lead to RNA polymerase II crowding at pause sites, thereby increasing the chance of collision and premature termination. These findings highlight the importance of the transcription initiation mechanism for microRNA synthesis, and have implications for TATA-box promoters in general.

A global change in RNA polymerase II pausing during the Drosophila midblastula transition

Massive zygotic transcription begins in many organisms during the midblastula transition when the cell cycle of the dividing egg slows down. A few genes are transcribed before this stage but how this differential activation is accomplished is still an open question. We have performed ChIP-seq experiments on tightly staged Drosophila embryos and show that massive recruitment of RNA polymerase II (Pol II) with widespread pausing occurs de novo during the midblastula transition. However, ∼100 genes are strongly occupied by Pol II before this timepoint and most of them do not show Pol II pausing, consistent with a requirement for rapid transcription during the fast nuclear cycles. This global change in Pol II pausing correlates with distinct core promoter elements and associates a TATA-enriched promoter with the rapid early transcription. This suggests that promoters are differentially used during the zygotic genome activation, presumably because they have distinct dynamic properties.

DOI:http://dx.doi.org/10.7554/eLife.00861.001

Fertilized eggs—zygotes—develop into embryos via several distinct stages. In many animals, the zygote initially undergoes rapid rounds of genome replication; however, this hectic activity is not controlled by the zygote itself. Instead, the mother deposits RNA molecules in the egg as it forms inside her, and after the egg has been fertilized, these RNA molecules are translated into proteins that guide the development of the early embryo. Only at a stage called midblastula transition does the zygote take over control by transcribing its own RNA molecules.

Fruit flies start to transcribe their own genes en masse after completing thirteen rounds of DNA replication. However, some genes are already transcribed during the rapid cycles of DNA replication earlier in development. How these early genes are transcribed, and how the embryo shifts to more widespread transcription during the midblastula transition, are not well understood. In particular, it is not known if the molecular machinery needed to transcribe the genes is recruited a long time before transcription starts, or if it is recruited ‘just in time’. Here, Chen et al. explore how genes are switched on in the fruit fly zygote.

Genes are transcribed by a protein complex called RNA polymerase, which binds to DNA sequences, called promoters, within the genes. Chen et al. used a technique called ChIP-Seq to determine how much RNA polymerase was bound to the DNA before, during and after the midblastula transition. Before the transition—from about eight rounds of DNA replication onward—RNA polymerase was bound to only about 100 genes, and was active in most of these cases. In contrast, after the transition, RNA polymerase had been recruited to the promoters of around 4000 genes (fruit flies have a total of about 14,000 genes). However, it was often found in a paused, rather than active, form, at these genes, which is thought to help ensure that their transcription can occur on a precise schedule.

Chen et al. then used computer analyses to test the theory that differences in the DNA sequences of the gene promoters might determine which genes the RNA polymerase bound to, and whether or not the polymerase underwent pausing or became active immediately. Strikingly, there were clear differences in the sequence motifs that recruited RNA polymerase to the promoters of genes that were transcribed immediately and those that showed pausing of the polymerase. Moreover, genes that were transcribed before the midblastula transition were shorter, on average, than those transcribed after. This suggests that transcription during the rapid genome replication cycles has to occur quickly and therefore lacks pausing. Together, these findings present a biological rationale for differences in how genes are first transcribed during fruit fly development.

DOI:http://dx.doi.org/10.7554/eLife.00861.002

Genetic selection for context-dependent stochastic phenotypes: Sp1 and TATA mutations increase phenotypic noise in HIV-1 gene expression

The sequence of a promoter within a genome does not uniquely determine gene expression levels and their variability; rather, promoter sequence can additionally interact with its location in the genome, or genomic context, to shape eukaryotic gene expression. Retroviruses, such as human immunodeficiency virus-1 (HIV), integrate their genomes into those of their host and thereby provide a biomedically-relevant model system to quantitatively explore the relationship between promoter sequence, genomic context, and noise-driven variability on viral gene expression. Using an in vitro model of the HIV Tat-mediated positive-feedback loop, we previously demonstrated that fluctuations in viral Tat-transactivating protein levels generate integration-site-dependent, stochastically-driven phenotypes, in which infected cells randomly ‘switch’ between high and low expressing states in a manner that may be related to viral latency. Here we extended this model and designed a forward genetic screen to systematically identify genetic elements in the HIV LTR promoter that modulate the fraction of genomic integrations that specify ‘Switching’ phenotypes. Our screen identified mutations in core promoter regions, including Sp1 and TATA transcription factor binding sites, which increased the Switching fraction several fold. By integrating single-cell experiments with computational modeling, we further investigated the mechanism of Switching-fraction enhancement for a selected Sp1 mutation. Our experimental observations demonstrated that the Sp1 mutation both impaired Tat-transactivated expression and also altered basal expression in the absence of Tat. Computational analysis demonstrated that the observed change in basal expression could contribute significantly to the observed increase in viral integrations that specify a Switching phenotype, provided that the selected mutation affected Tat-mediated noise amplification differentially across genomic contexts. Our study thus demonstrates a methodology to identify and characterize promoter elements that affect the distribution of stochastic phenotypes over genomic contexts, and advances our understanding of how promoter mutations may control the frequency of latent HIV infection.

The sequence of a gene within a cellular genome does not uniquely determine its expression level, even for a single type of cell under fixed conditions. Numerous other factors, including gene location on the chromosome and random gene-expression “noise,” can alter expression patterns and cause differences between otherwise identical cells. This poses new challenges for characterizing the genotype–phenotype relationship. Infection by the human immunodeficiency virus-1 (HIV-1) provides a biomedically important example in which transcriptional noise and viral genomic location impact the decision between viral replication and latency, a quiescent but reversible state that cannot be eliminated by anti-viral therapies. Here, we designed a forward genetic screen to systematically identify mutations in the HIV promoter that alter the fraction of genomic integrations that specify noisy/reactivating expression phenotypes. The mechanisms by which the selected mutations specify the observed phenotypic enrichments are investigated through a combination of single-cell experiments and computational modeling. Our study provides a framework for identifying genetic sequences that alter the distribution of stochastic expression phenotypes over genomic locations and for characterizing their mechanisms of regulation. Our results also may yield further insights into the mechanisms by which HIV sequence evolution can alter the propensity for latent infections.

Sequence features of yeast and human core promoters that are predictive of maximal promoter activity

The core promoter is the region in which RNA polymerase II is recruited to the DNA and acts to initiate transcription, but the extent to which the core promoter sequence determines promoter activity levels is largely unknown. Here, we identified several base content and k-mer sequence features of the yeast core promoter sequence that are highly predictive of maximal promoter activity. These features are mainly located in the region 75 bp upstream and 50 bp downstream of the main transcription start site, and their associations hold for both constitutively active promoters and promoters that are induced or repressed in specific conditions. Our results unravel several architectural features of yeast core promoters and suggest that the yeast core promoter sequence downstream of the TATA box (or of similar sequences involved in recruitment of the pre-initiation complex) is a major determinant of maximal promoter activity. We further show that human core promoters also contain features that are indicative of maximal promoter activity; thus, our results emphasize the important role of the core promoter sequence in transcriptional regulation.

The unexpected traits associated with core promoter elements

The core promoter of eukaryotic coding and non-coding genes that are transcribed by RNA polymerase II (RNAP II) is composed of DNA elements surrounding the transcription start site. These elements serve as the docking site of the basal transcription machinery and have an important role in determining the position and directing the rate of transcription initiation. This review summarizes the current knowledge about core promoter elements and focuses on several unexpected links between core promoter structure and certain gene features. These include the association between the presence or absence of a TATA-box and gene length, gene structure, gene function, evolution rate and transcription elongation.

Identification of cis-Regulatory Elements in the dmyc Gene of Drosophila Melanogaster

Myc is a crucial regulator of growth and proliferation during animal development. Many signals and transcription factors lead to changes in the expression levels of Drosophila myc, yet no clear model exists to explain the complexity of its regulation at the level of transcription. In this study we used Drosophila genetic tools to track the dmyc cis-regulatory elements. Bioinformatics analyses identified conserved sequence blocks in the noncoding regions of the dmyc gene. Investigation of lacZ reporter activity driven by upstream, downstream, and intronic sequences of the dmyc gene in embryonic, larval imaginal discs, larval brain, and adult ovaries, revealed that it is likely to be transcribed from multiple transcription initiation units including a far upstream regulatory region, a TATA box containing proximal complex and a TATA-less downstream promoter element in conjunction with an initiator within the intron 2 region. Our data provide evidence for a modular organization of dmyc regulatory sequences; these modules will most likely be required to generate the tissue-specific patterns of dmyc transcripts. The far upstream region is active in late embryogenesis, while activity of other cis elements is evident during embryogenesis, in specific larval imaginal tissues and during oogenesis. These data provide a framework for further investigation of the transcriptional regulatory mechanisms of dmyc.

A genomic model of condition-specific nucleosome behavior explains transcriptional activity in yeast

Nucleosomes play an important role in gene regulation. Molecular studies observed that nucleosome binding in promoters tends to be repressive. In contrast, genomic studies have delivered conflicting results: An analysis of yeast grown on diverse carbon sources reported that nucleosome occupancies remain largely unchanged between conditions, whereas a study of the heat-shock response suggested that nucleosomes get evicted at promoters of genes with increased expression. Consequently, there are few general principles that capture the relationship between chromatin organization and transcriptional regulation. Here, we present a qualitative model for nucleosome positioning in Saccharomyces cerevisiae that helps explain important properties of gene expression. By integrating publicly available data sets, we observe that promoter-bound nucleosomes assume one of four discrete configurations that determine the active and silent transcriptional states of a gene, but not its expression level. In TATA-box-containing promoters, nucleosome architecture indicates the amount of transcriptional noise. We show that >20% of genes switch promoter states upon changes in cellular conditions. The data suggest that DNA-binding transcription factors together with chromatin-remodeling enzymes are primarily responsible for the nucleosome architecture. Our model for promoter nucleosome architecture reconciles genome-scale findings with molecular studies; in doing so, we establish principles for nucleosome positioning and gene expression that apply not only to individual genes, but across the entire genome. The study provides a stepping stone for future models of transcriptional regulation that encompass the intricate interplay between cis- and trans-acting factors, chromatin, and the core transcriptional machinery.

Assembly of the transcription machinery: ordered and stable, random and dynamic, or both?

The assembly of the transcription machinery is a key step in gene activation, but even basic details of this process remain unclear. Here we discuss the apparent discrepancy between the classic sequential assembly model based mostly on biochemistry and an emerging dynamic assembly model based mostly on fluorescence microscopy. The former model favors a stable transcription complex with subunits that cooperatively assemble in order, whereas the latter model favors an unstable complex with subunits that may assemble more randomly. To confront this apparent discrepancy, we review the merits and drawbacks of the different experimental approaches and list potential biasing factors that could be responsible for the different interpretations of assembly. We then discuss how these biases might be overcome in the future with improved experiments or new techniques. Finally, we discuss how kinetic models for assembly may help resolve the ordered and stable vs. random and dynamic assembly debate.

Comparative expression and transcript initiation of three peach dehydrin genes

Dehydrin genes encode proteins with demonstrated cryoprotective and antifreeze activity, and they respond to a variety of abiotic stress conditions that have dehydration as a common component. Two dehydrins from peach (Prunus persica L. [Batsch.]) have been previously characterized; here, we describe the characterization of a third dehydrin from peach bark, PpDhn3, isolated by its response to low temperature. The expression of all three dehydrin genes was profiled by semi-quantitative reverse transcription PCR, and transcript initiation was mapped for all three genes using the RNA ligase-mediated 5' rapid amplification of cDNA ends technique. PpDhn3 transcripts from bark collected in December or July, as well as transcripts from developing fruit, initiated at a single site. Although most of the PpDhn1 transcripts initiated at a similar position, those from young fruit initiated much further upstream of the consensus TATA box. Bark and fruit transcripts encoding PpDhn2 initiated ca. 30 bases downstream of a consensus TATA box; however, transcripts from ripe fruit initiated further upstream. Ripe fruit transcripts of PpDhn2 contain a 5' leader intron which is predicted to add some 34 amino acids to the N-terminal methionine of the cognate protein when properly processed. Secondary structure prediction of sequences surrounding the TATA box suggests that conformational transitions associated with decreasing temperature contribute to the regulation of expression of the cold-responsive dehydrin genes. Taken together these results reveal new, unexpected levels of gene regulation contributing to the overall expression pattern of peach dehydrins.

Precise regulation of gene expression dynamics favors complex promoter architectures

Promoters process signals through recruitment of transcription factors and RNA polymerase, and dynamic changes in promoter activity constitute a major noise source in gene expression. However, it is barely understood how complex promoter architectures determine key features of promoter dynamics. Here, we employ prototypical promoters of yeast ribosomal protein genes as well as simplified versions thereof to analyze the relations among promoter design, complexity, and function. These promoters combine the action of a general regulatory factor with that of specific transcription factors, a common motif of many eukaryotic promoters. By comprehensively analyzing stationary and dynamic promoter properties, this model-based approach enables us to pinpoint the structural characteristics underlying the observed behavior. Functional tradeoffs impose constraints on the promoter architecture of ribosomal protein genes. We find that a stable scaffold in the natural design results in low transcriptional noise and strong co-regulation of target genes in the presence of gene silencing. This configuration also exhibits superior shut-off properties, and it can serve as a tunable switch in living cells. Model validation with independent experimental data suggests that the models are sufficiently realistic. When combined, our results offer a mechanistic explanation for why specific factors are associated with low protein noise in vivo. Many of these findings hold for a broad range of model parameters and likely apply to other eukaryotic promoters of similar structure.

Combinatorial regulation of gene expression is an important mechanism for signal integration in prokaryotes and eukaryotes. Typically, this regulation is established by transcription factors that bind to DNA or to other regulatory proteins. Modifications of the DNA structure provide another layer of control, for instance, in gene silencing. However, it is barely understood how complex promoter architectures determine key features of promoter dynamics such as gene expression levels and noise. Here, we employ realistic mathematical models for prototypical promoters of yeast ribosomal protein genes as well as simplified versions thereof to analyze the relations among promoter design, complexity, and function. By comprehensively analyzing stationary and dynamic promoter properties, we find that functional tradeoffs impose constraints on the promoter architecture. More specifically, a stable configuration in the natural design results in low transcriptional noise and strong co-regulation of target genes in the presence of gene silencing. Combined, our results offer a mechanistic explanation for why specific factors are associated with low protein noise in vivo. We expect that many of these findings apply to other promoters of similar structure.

Single-RNA counting reveals alternative modes of gene expression in yeast

Proper execution of transcriptional programs is a key requirement of gene expression regulation, demanding accurate control of timing and amplitude. How precisely the transcription machinery fulfills this task is not known. Using an in situ hybridization approach that detects single mRNA molecules, we measured mRNA abundance and transcriptional activity within single Saccharomyces cerevisiae cells. We found that expression levels for particular genes are higher than initially reported and can vary substantially among cells. However, variability for most constitutively expressed genes is unexpectedly small. Combining single-transcript measurements with computational modeling indicates that low expression variation is achieved by transcribing genes using single transcription-initiation events that are clearly separated in time, rather than by transcriptional bursts. In contrast, PDR5, a gene regulated by the transcription coactivator complex SAGA, is expressed using transcription bursts, resulting in larger variation. These data directly demonstrate the existence of multiple expression modes used to modulate the transcriptome.

Robust simplifications of multiscale biochemical networks

Background

Cellular processes such as metabolism, decision making in development and differentiation, signalling, etc., can be modeled as large networks of biochemical reactions. In order to understand the functioning of these systems, there is a strong need for general model reduction techniques allowing to simplify models without loosing their main properties. In systems biology we also need to compare models or to couple them as parts of larger models. In these situations reduction to a common level of complexity is needed.

Results

We propose a systematic treatment of model reduction of multiscale biochemical networks. First, we consider linear kinetic models, which appear as "pseudo-monomolecular" subsystems of multiscale nonlinear reaction networks. For such linear models, we propose a reduction algorithm which is based on a generalized theory of the limiting step that we have developed in [1]. Second, for non-linear systems we develop an algorithm based on dominant solutions of quasi-stationarity equations. For oscillating systems, quasi-stationarity and averaging are combined to eliminate time scales much faster and much slower than the period of the oscillations. In all cases, we obtain robust simplifications and also identify the critical parameters of the model. The methods are demonstrated for simple examples and for a more complex model of NF-κB pathway.

Conclusion

Our approach allows critical parameter identification and produces hierarchies of models. Hierarchical modeling is important in "middle-out" approaches when there is need to zoom in and out several levels of complexity. Critical parameter identification is an important issue in systems biology with potential applications to biological control and therapeutics. Our approach also deals naturally with the presence of multiple time scales, which is a general property of systems biology models.

Immediate-early and delayed primary response genes are distinct in function and genomic architecture

The transcriptional program induced by growth factor stimulation is classically described in two stages as follows: the rapid protein synthesis-independent induction of immediate-early genes, followed by the subsequent protein synthesis-dependent induction of secondary response genes. In this study, we obtained a comprehensive view of this transcriptional program. As expected, we identified both rapid and delayed gene inductions. Surprisingly, however, a large fraction of genes induced with delayed kinetics did not require protein synthesis and therefore represented delayed primary rather than secondary response genes. Of 133 genes induced within 4 h of growth factor stimulation, 49 (37%) were immediate-early genes, 58 (44%) were delayed primary response genes, and 26 (19%) were secondary response genes. Comparison of immediate-early and delayed primary response genes revealed functional and regulatory differences. Whereas many immediate-early genes encoded transcription factors, transcriptional regulators were not prevalent among the delayed primary response genes. The lag in induction of delayed primary response compared with immediate-early mRNAs was because of delays in both transcription initiation and subsequent stages of elongation and processing. Consistent with increased abundance of RNA polymerase II at their promoters, immediate-early genes were characterized by over-representation of transcription factor binding sites and high affinity TATA boxes. Immediate-early genes also had short primary transcripts with few exons, whereas delayed primary response genes more closely resembled other genes in the genome. These findings suggest that genomic features of immediate-early genes, in contrast to the delayed primary response genes, are selected for rapid induction, consistent with their regulatory functions.

Phenotypic consequences of promoter-mediated transcriptional noise

A more complete understanding of the causes and effects of cell-cell variability in gene expression is needed to elucidate whether the resulting phenotypes are disadvantageous or confer some adaptive advantage. Here we show that increased variability in gene expression, affected by the sequence of the TATA box, can be beneficial after an acute change in environmental conditions. We rationally introduce mutations within the TATA region of an engineered Saccharomyces cerevisiae GAL1 promoter and measure promoter responses that can be characterized as being either highly variable and rapid or steady and slow. We computationally illustrate how a stable transcription scaffold can result in "bursts" of gene expression, enabling rapid individual cell responses in the transient and increased cell-cell variability at steady state. We experimentally verify computational predictions that the rapid response and increased cell-cell variability enabled by TATA-containing promoters confer a clear benefit in the face of an acute environmental stress.

FOXM1c transactivates the human c-myc promoter directly via the two TATA boxes P1 and P2

FOXM1c transactivates the c-myc promoter via the P1 and P2 TATA boxes using a new mechanism. Whereas the P1 TATA box TATAATGC requires its sequence context to be FOXM1c responsive, the P2 TATA box TATAAAAG alone is sufficient to confer FOXM1c responsiveness to any minimal promoter. FOXM1c transactivates by binding to the TATA box as well as directly to TATA-binding protein, transcription factor IIB and transcription factor IIA. This new transactivation mechanism is clearly distinguished from the function of FOXM1c as a conventional transcription factor. The central domain of FOXM1c functions as an essential domain for activation via the TATA box, but as an inhibitory domain (retinoblastoma protein-independent transrepression domain and retinoblastoma protein-recruiting negative regulatory domain) for transactivation via conventional FOXM1c-binding sites. Each promoter with the P2 TATA box TATAAAAG is postulated to be transactivated by FOXM1c. This was demonstrated for the promoters of c-fos, hsp70 and histone H2B/a. A database search revealed almost 300 probable FOXM1c target genes, many of which function in proliferation and tumorigenesis. Accordingly, dominant-negative FOXM1c proteins reduced cell growth approximately threefold, demonstrating a proliferation-stimulating function for wild-type FOXM1c.

Potential effect on cellular response to cadmium of a single-nucleotide A --> G polymorphism in the promoter of the human gene for metallothionein IIA

Most people generally ingest cadmium in their food. Cadmium that has accumulated in tissues induces the synthesis of metallothioneins (MTs) which are metal-binding proteins that bind tightly to cadmium to inhibit its renal toxicity. Individuals whose ability to induce the synthesis of MTs is low seem likely to be particularly susceptible to the toxic effects of cadmium. In this study, we analyzed the polymorphism of the promoter region of the gene for MT-IIA, the major species of MT in humans, in 119 adult Japanese subjects. We found that about 18% of the subjects had an A --> G single-nucleotide polymorphism in the core region of the promoter near the TATA box. A reporter-gene assay using HEK293 cells showed that replacement of A by G at position -5 reduced the efficiency of the cadmium-induced transcription of the gene for MT-IIA. This single-nucleotide polymorphism inhibited the binding of nuclear proteins to the core promoter region of the gene for MT-IIA. When the promoter region upstream of the TATA box was replaced by a sequence that contained three dioxin-responsive elements, the reporter-gene assay demonstrated that the A --> G single-nucleotide polymorphism resulted in a marked reduction in the rate of dioxin-induced transcription. These results suggest that the A --> G single-nucleotide polymorphism reduces the efficiency of those aspects of the transcription of the gene for MT-IIA that are controlled by general transcription factors.

Stepwise bending of DNA by a single TATA-box binding protein

The TATA-box binding protein (TBP) is required by all three eukaryotic RNA polymerases for the initiation of transcription from most promoters. TBP recognizes, binds to, and bends promoter sequences called "TATA-boxes" in the DNA. We present results from the study of individual Saccharomyces cerevisiae TBPs interacting with single DNA molecules containing a TATA-box. Using video microscopy, we observed the Brownian motion of beads tethered by short surface-bound DNA. When TBP binds to and bends the DNA, the conformation of the DNA changes and the amplitude of Brownian motion of the tethered bead is reduced compared to that of unbent DNA. We detected individual binding and dissociation events and derived kinetic parameters for the process. Dissociation was induced by increasing the salt concentration or by directly pulling on the tethered bead using optical tweezers. In addition to the well-defined free and bound classes of Brownian motion, we observed another two classes of motion. These extra classes were identified with intermediate states on a three-step, linear-binding pathway. Biological implications of the intermediate states are discussed.

Transcriptional frequency and cell determination

The relative base composition of DNA regulatory sequences of certain genes of undetermined multipotent progenitor cells may account for the frequency of transcription of these genes in cell determination. The sequences of these regulatory regions of cell determination genes that are more AT-rich would create the potential for transcription at a higher frequency due to their lower melting temperature, as well as propensity to bend. An increase of one or more of the high mobility group (HMG) chromatin proteins would preferentially bind the more AT-rich regulatory sequences, thereby increasing the rate of transcription. The amount of unphosphorylated H1 histone reacting with these same regulatory sites may decrease transcription frequency. The level of cell growth, i.e. total protein synthesis of a cell, is correlated positively with the synthesis of HMG proteins. H1 histone synthesis is linked to DNA replication. Unbalanced growth would alter the amounts of HMG proteins and H1 histone, thus changing transcriptional frequency. The greater the enrichment of AT sequences in the regulatory regions of the cell determination genes, the greater may be the extent of evolutionary conservation. Higher frequency of transcription of the cell determination genes with the more AT-rich regulatory sequences could account for the earlier expression of the more conserved cell determination genes during embryonic development. Preferential binding of H1 histone to the more AT-rich regulatory sequences would subsequently restrict their transcription before that of less conserved cell determination genes.

The RNA polymerase II core promoter

The events leading to transcription of eukaryotic protein-coding genes culminate in the positioning of RNA polymerase II at the correct initiation site. The core promoter, which can extend ~35 bp upstream and/or downstream of this site, plays a central role in regulating initiation. Specific DNA elements within the core promoter bind the factors that nucleate the assembly of a functional preinitiation complex and integrate stimulatory and repressive signals from factors bound at distal sites. Although core promoter structure was originally thought to be invariant, a remarkable degree of diversity has become apparent. This article reviews the structural and functional diversity of the RNA polymerase II core promoter.

The transcriptional activator GAL4-VP16 regulates the intra-molecular interactions of the TATA-binding protein

Binding characteristics of yeast TATA-binding protein (yTBP) over five oligomers having different TATA variants and lacking a UASGAL, showed that TATA-binding protein (TBP)-TATA complex gets stabilized in the presence of the acidic activator GAL4-VP16. Activator also greatly suppressed the non-specific TBP-DNA complex formation. The effects were more pronounced over weaker TATA boxes. Activator also reduced the TBP dimer levels both in vitro and in vivo, suggesting the dimer may be a direct target of transcriptional activators. The transcriptional activator facilitated the dimer to monomer transition and activated monomers further to help TBP bind even the weaker TATA boxes stably. The overall stimulatory effect of the GAL4-VP16 on the TBP-TATA complex formation resembles the known effects of removal of the N-terminus of TBP on its activity, suggesting that the activator directly targets the N-terminus of TBP and facilitates its binding to the TATA box.

Noise in eukaryotic gene expression

Transcription in eukaryotic cells has been described as quantal, with pulses of messenger RNA produced in a probabilistic manner. This description reflects the inherently stochastic nature of gene expression, known to be a major factor in the heterogeneous response of individual cells within a clonal population to an inducing stimulus. Here we show in Saccharomyces cerevisiae that stochasticity (noise) arising from transcription contributes significantly to the level of heterogeneity within a eukaryotic clonal population, in contrast to observations in prokaryotes, and that such noise can be modulated at the translational level. We use a stochastic model of transcription initiation specific to eukaryotes to show that pulsatile mRNA production, through reinitiation, is crucial for the dependence of noise on transcriptional efficiency, highlighting a key difference between eukaryotic and prokaryotic sources of noise. Furthermore, we explore the propagation of noise in a gene cascade network and demonstrate experimentally that increased noise in the transcription of a regulatory protein leads to increased cell-cell variability in the target gene output, resulting in prolonged bistable expression states. This result has implications for the role of noise in phenotypic variation and cellular differentiation.

Detours and shortcuts to transcription reinitiation

Gene transcription is repetitive, enabling the synthesis of multiple copies of identical RNA molecules from the same template. The cyclic process of RNA synthesis from active genes, referred to as transcription reinitiation, contributes significantly to the level of RNAs in living cells. Contrary to the perception that multiple transcription cycles are a mere iteration of mechanistically identical steps, a large body of evidence indicates that, in most transcription systems, reinitiation involves highly specific and regulated pathways. These pathways influence the availability for reinitiation of template DNA and/or transcription proteins, and represent an important yet poorly characterized aspect of gene regulation.

The yeast capping enzyme represses RNA polymerase II transcription

Using a highly pure transcription system derived from Saccharomyces cerevisiae, we have purified an activity in yeast whole-cell extracts that represses RNA polymerase II transcription. Mechanistic studies suggest that this repressor specifically targets transcriptional reinitiation. The two polypeptides that constitute the repressor have been identified as Ceg1p and Cet1p, the two subunits of the yeast pre-mRNA capping enzyme. A purified recombinant capping enzyme is able to reconstitute repressor activity. Cet1p is necessary for and capable of this repression. Transcriptional run-on experiments indicate that the capping enzyme also serves as a repressor in vivo. Efficient pre-mRNA capping relies on interactions between the capping enzyme and transcription apparatus. Repression by the capping enzyme suggests a bidirectional flow of information between capping and transcription.

In vitro transcription and start site selection in Schizosaccharomyces pombe

We have used the fission yeast Schizosaccharomyces pombe to establish both a biochemical and genetic system to study the roles of general transcription factors in transcription initiation. Extracts were prepared that faithfully transcribed S. pombe promoters and the results confirm that, in contrast to the budding yeast Saccharomyces cerevisiae, in vitro transcription in S. pombe initiates near to the TATA element. S. pombe transcription relies on upstream activation sequence elements and these can be replaced successfully with sites for binding Gal4-VP16 activators. Although it is mammalian-like in these respects, S. pombe initiation uses an unusual scanning mechanism. This directs initiation, preferentially using purines, within a narrow window approximately 25-40 base-pairs downstream from the edge of the TATA element. Genetic experiments showed that this scanning mechanism was associated with the properties of the TFIIB polypeptide. When human TFIIB was expressed in S. pombe, it was accepted by the endogenous transcription machinery and caused initiation to be restricted to the closer edge of this window, corresponding to the distance in humans. Preliminary experiments suggested that S. cerevisiae TFIIB was not accepted. The results enlarge the potential for using fission yeast to study the properties of general transcription factors such as TFIIB in choosing the sites at which transcription initiates.

The vasopressin gene non-canonical Hogness box: effect on protein binding and promoter function

Comparison of the promoter sequences of the genes encoding the neuropeptide hormone vasopressin from a number of organisms has revealed that they do not contain a classical Hogness box. In all vertebrate species examined, the canonical TATA box is replaced with a CATA sequence. We hypothesised that this conserved modified sequence may play a role in the regulation of vasopressin promoter activity. We used electrophoretic mobility shift assays to show that TATA and CATA sequences generate different complexes with SON nuclear proteins. Further, the transfection of wild-type (CATA) and mutated (TATA) VP promoter-reporter constructs into a heterologous cell line demonstrated a sequence-specific effect on transcriptional activity. The CATA sequence contributes to weaker promoter activity than a TATA box, but is able to interact with the upstream elements to increase the efficacy of an enhancer. The CATA box may thus be involved in the cell-specific and physiological regulation of the VP gene.

Kinetic and mechanistic analysis of the RNA polymerase II transcrption reaction at the human interleukin-2 promoter

Interleukin-2 (IL-2) is a cytokine critical for the proper stimulation of T-cells during the mammalian immune response. Shortly after T-cell stimulation, transcription of the IL-2 gene is upregulated. Here, we studied the kinetic mechanism of basal transcription at the IL-2 promoter using a human in vitro RNA polymerase II transcription system. We experimentally divided the transcription reaction into discrete steps, including preinitiation complex formation, initiation, escape commitment, and promoter escape. Using pre-steady state approaches, we measured the rate at which each of these steps occurs. We found that the rate of functional preinitiation complex formation limits the overall rate of transcription at the IL-2 promoter under the conditions described here. Furthermore, we found that the recruitment of TFIIF and RNA polymerase II to a TFIID/TFIIA/TFIIB/promoter complex dictates the rate of preinitiation complex formation. The rate of synthesis of 28 nt RNA from preinitiation complexes was rapid compared to the rate of preinitiation complex formation. Moreover, we found that the synthesis of a four nucleotide RNA was necessary and sufficient to rapidly complete the escape commitment step of transcription at the IL-2 promoter. Comparative experiments with the adenovirus major late promoter revealed that, while the overall mechanism of transcription is the same at the two promoters, promoter sequence and/or architecture dictate the rate of promoter escape. We present a kinetic model for a single round of basal transcription at the IL-2 promoter that provides insight into mechanisms by which the IL-2 gene is transcriptionally regulated.

Differential transcription of the orphan receptor RORbeta in nuclear extracts derived from Neuro2A and HeLa cells

An important model system for studying the process leading to productive transcription is provided by the superfamily of nuclear receptors, which are for the most part ligand-controlled transcription factors. Over the past years several 'orphan' nuclear receptors have been isolated for which no ligand has yet been identified. Very little is known about how these 'orphan' receptors regulate transcription. In this study we have analysed the biochemical and transcriptional properties of the neuronally expressed orphan nuclear receptor RORbeta (NR1F2) and compared them with the retinoic acid receptor heterodimer RXRalpha-RARalpha (NR2B1-NR1B1) and Gal-VP16 in vitro. Although RORbeta binds to its DNA-binding sites with comparatively low affinity, it efficiently directs transcription in nuclear extracts derived from a neuronal cell line, Neuro2A, but not in nuclear extracts from non-neuronal HeLa cells. In contrast, RXRalpha-RARalpha and the acidic transcription factor Gal-VP16 support transcription in Neuro2A and HeLa nuclear extracts equally efficiently. These observations point to a different (co)factor requirement for transactivation by members of the NR1 subfamily of nuclear receptors.

The stability of the TFIIA-TBP-DNA complex is dependent on the sequence of the TATAAA element

To determine the mechanistic differences between canonical and noncanonical TATA elements, we compared the functional activity of two sequences: TATAAA (canonical) and CATAAA (noncanonical). The TATAAA element can support high levels of transcription in vivo, whereas the CATAAA element is severely defective for this function. This dramatic functional difference is not likely to be due to a difference in TBP (TATA-binding protein) binding efficiency because protein-DNA complex studies in vitro indicate little difference between the two DNA sequences in the formation and stability of the TBP-DNA complex. In addition, the binding and stability of the TFIIB-TBP-DNA complex is similar for the two elements. In striking contrast, the TFIIA-TBP-DNA complex is significantly less stable on the CATAAA element when compared with the TATAAA element. A role for TFIIA in distinguishing between TATAAA and CATAAA in vivo was tested by fusing a subunit of TFIIA to TBP. We found that fusion of TFIIA to TBP dramatically increases transcription from CATAAA in yeast cells. Taken together, these results indicate that the stability of the TFIIA-TBP complex depends strongly on the sequence of the core promoter element and that the TFIIA-TBP complex plays an important function in recognizing optimal promoters in vivo.

The overlap of Inr and TATA elements sets the use of alternative transcriptional start sites in the mouse galectin-1 gene promoter

In the mouse gene encoding the protein galectin-1, transcription initiation at the +1 site is directed by a TATA box. Here we show that a consensus Inr element (TCCAGTT), which spans residues -34 to -28 and overlaps the TATA box, directs RNA initiation also from a previously uncharacterized site located at position -31. Upstream transcripts are polyadenylated and contribute to more than half of the galectin-1 mRNA population in all tissues analyzed. The promoter architecture is evolutionarily conserved to man, and galectin-1 mRNA size variants accumulate also in human HeLa cells. The 5' end terminus of the transcripts initiated at residue -31 is extremely GC-rich, and may fold into a relative stable hairpin which could influence translation and thus modulate the intracellular levels of galectin-1. The interval -63/+45 contains sufficient information to ensure RNA initiation from both -31 and +1 sites, and a Sp1 site spanning residues -57 to -48 is crucial for promoter functioning. The unusual overlap of core promoter elements suggests that RNA initiation from the -31 and the +1 sites may take place in a sequential manner.

TATA box occupancy in the SV40 transcription elongation complex

In order to gain insight into requirements for template activation and commitment in mammalian transcription, TATA site occupancy was measured in native SV40 viral transcription complexes that were in the process of transcription elongation at the time of cell lysis. This was accomplished by quantifying resistance to restriction enzyme digestion of transcription complexes in nuclear lysate. The rate of cleavage at the TATA site of the late gene in the native complex was slower than that of a bare DNA control, both for wild-type virus and for a virus containing a TATA consensus sequence. These results suggest that the TATA site in the transcription elongation complex in vivo is occupied with transcription factor TBP/TFIID. When considered in light of previous work, these findings support a model in which transcription activation involves reinitiation from a promoter that contains both activator and TFIID bound in a stable complex.

Distinct roles for Ku protein in transcriptional reinitiation and DNA repair

Transcriptional reinitiation is a distinct phase of the RNA polymerase II transcription cycle. Prior work has shown that reinitiation is deficient in nuclear extracts from Chinese hamster ovary cells lacking the 80-kDa subunit of Ku, a double-strand break repair protein, and that activity is rescued by expression of the corresponding cDNA. We now show that Ku increases the amount or availability of a soluble factor that is limiting for reinitiation, that the factor increases the number of elongation complexes associated with the template at all times during the reaction, and that the factor itself does not form a tight complex with DNA. The factor may consist of a preformed complex of transcription proteins that is stabilized by Ku. A Ku mutant, lacking residues 687-728 in the 80-kDa subunit, preferentially suppresses transcription in Ku-containing extracts, suggesting that Ku interacts directly with proteins required for reinitiation. The Ku mutant functions normally in a DNA end-joining system, indicating that the functions of Ku in transcription and repair are genetically separable. Based on our results, we present a model in which Ku is capable of undergoing a switch between a transcription factor-associated and a repair-active state.

TATA-flanking sequences influence the rate and stability of TATA-binding protein and TFIIB binding

The kinetics of TATA-binding protein (TBP) and TFIIB binding were measured on a series of promoter constructs that had varying sequences within and flanking the TATA box. The flanking sequences were found to influence TBP stability even though they do not contact the protein. This occurs by altering the decay rate rather than the association rate. TFIIB association is accompanied by protein-protein cooperativity as indicated by the simultaneous release of both proteins in challenge experiments. The sequence of the TATA box and the sequences that flank it can influence the kinetics of the TFIIB.TBP.DNA complex. TFIIB can contribute to tighter TATA binding in two ways. It always slows the decay rate of TBP, but it can also increase the rate of association at promoters with certain combinations of TATA and flanking sequences. The results imply that the interplay between the TATA box and flanking elements leads to variations in the kinetics of preinitiation complex formation that may account for the observed effects of all of these diverse sequences on transcription.

TATA-binding protein and the Gal4 transactivator do not bind to promoters cooperatively

The yeast Gal4 protein, like many activators, binds TATA-binding protein (TBP) directly in vitro. It has been speculated that this protein-protein interaction is important for Gal4p-mediated activation of transcription, but little work has been done to test specific models involving this interaction. In this study, the effect of Gal4p on TBP-TATA binding is addressed. Specifically, it is asked if the Gal4p-TBP interaction can support cooperative binding of the two factors to promoters. It is easy to see how such an event could stimulate transcription, particularly from promoters with a non-consensus TATA box. In vitro, however, a derivative of Gal4p (Gal4-(1-93+768-881)) containing the DNA-binding, dimerization, and activation domains does not bind to promoter DNA cooperatively with either recombinant, purified TBP, or with protein from a yeast crude extract. In vivo, reporter gene experiments using promoters with differing TBP affinities reveal no major Gal4p-mediated stimulation of TBP function from weak TATA boxes, as would be predicted if the proteins bind cooperatively. Furthermore, native Gal4p and a potent Gal4p-based artificial activator lacking a TBP-binding activation domain support similar ratios of transcription from a series of promoters identical except for mutations in the TATA box. It is concluded that Gal4p and TBP do not bind cooperatively to promoters and that this mechanism does not contribute substantially to Gal4p-mediated transcriptional activation.

A transcription reinitiation intermediate that is stabilized by activator

High levels of gene transcription by RNA polymerase II depend on high rates of transcription initiation and reinitiation. Initiation requires recruitment of the complete transcription machinery to a promoter, a process facilitated by activators and chromatin remodelling factors. Reinitiation probably occurs through a different pathway. After initiation, a subset of the transcription machinery remains at the promoter, forming a platform for assembly of a second transcription complex. Here we describe the isolation of a reinitiation intermediate that includes transcription factors TFIID, TFIIA, TFIIH, TFIIE and Mediator. This intermediate can act as a scaffold for formation of a functional reinitiation complex. Formation of this scaffold is dependent on ATP and TFIIH. The scaffold is stabilized in the presence of the activator Gal4-VP16, but not Gal4-AH, suggesting a new role for some activators and Mediator in promoting high levels of transcription.