Transcription reinitiation rate: a potential role for TATA box stabilization of the TFIID:TFIIA:DNA complex

Solving stochastic gene-expression models using queueing theory: A tutorial review

Stochastic models of gene expression are typically formulated using the chemical master equation, which can be solved exactly or approximately using a repertoire of analytical methods. Here, we provide a tutorial review of an alternative approach based on queueing theory that has rarely been used in the literature of gene expression. We discuss the interpretation of six types of infinite-server queues from the angle of stochastic single-cell biology and provide analytical expressions for the stationary and nonstationary distributions and/or moments of mRNA/protein numbers and bounds on the Fano factor. This approach may enable the solution of complex models that have hitherto evaded analytical solution.

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.

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.

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.

Cis-acting motifs in artificially synthesized expression cassette leads to enhanced transgene expression in tomato (Solanum lycopersicum L.)

Efficacy of artificial synthetic expression modules was compared with native CaMV35S and DECaMV35S promoter in transgenic tomato developed by Agrobacterium-mediated transformation. The promoters under trial were CaMV35S-mec (PcamI), CaMV35S (PcamII), DECaMV35S (PcamIII), synthetic minimal expression cassette (Pmec), complete expression cassette (Pcec), double enhancer expression cassette (Pdec) and triple enhancer expression cassette (Ptec) for driving the uidA gene for β-glucuronidase (GUS) activity. The promoter efficiency based on average of GUS expression in T(0) and T(1) transgenic tomato was in the order Pcec > Pdec > PcamIII > PcamII > PcamI > Ptec > Pmec. The two promoters Pcec and PcamIII were deployed for development of insect-resistant transgenic tomato with optimal expression of modified cry1Ac insecticidal toxin gene from Bacillus thuringiensis (Bt). The transgenic status and copy number of the cry1Ac in T(0) transgenic tomato was confirmed through PCR, Southern hybridization, RT-PCR and Western immunoassay, while toxin expression was monitored by DAS-ELISA. The expression level of Cry1Ac toxin driven by Pcec in T(0) population ranged from 0.08 to 0.8% of total soluble protein (TSP) that was significantly higher to PcamIII which ranged from 0.02 to 0.13% of TSP. The outcome of insect mortality bioassay with Helicoverpa armigera correlated well with the results of DAS-ELISA. The higher expression of cry1Ac gene driven by Pcec promoter in transgenic tomato did not show any yield penalty and reflected complete protection, while low recovery of promising transgenics expressing Cry1Ac toxin driven by PcamIII was a major limitation for complete protection against the fruit borer insect.

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.

Promoter architecture and the evolvability of gene expression

Evolutionary changes in gene expression are a main driver of phenotypic evolution. In yeast, genes that have rapidly diverged in expression are associated with particular promoter features, including the presence of a TATA box, a nucleosome-covered promoter and unstable tracts of tandem repeats. Here, we discuss how these promoter properties may confer an inherent capacity for flexibility of expression.

The human CDK8 subcomplex is a molecular switch that controls Mediator coactivator function

The human CDK8 subcomplex (CDK8, cyclin C, Med12, and Med13) negatively regulates transcription in ways not completely defined; past studies suggested CDK8 kinase activity was required for its repressive function. Using a reconstituted transcription system together with recombinant or endogenous CDK8 subcomplexes, we demonstrate that, in fact, Med12 and Med13 are critical for subcomplex-dependent repression, whereas CDK8 kinase activity is not. A hallmark of activated transcription is efficient reinitiation from promoter-bound scaffold complexes that recruit a series of pol II enzymes to the gene. Notably, the CDK8 submodule strongly represses even reinitiation events, suggesting a means to fine tune transcript levels. Structural and biochemical studies confirm the CDK8 submodule binds the Mediator leg/tail domain via the Med13 subunit, and this submodule-Mediator association precludes pol II recruitment. Collectively, these results reveal the CDK8 subcomplex functions as a simple switch that controls the Mediator-pol II interaction to help regulate transcription initiation and reinitiation events. As Mediator is generally required for expression of protein-coding genes, this may reflect a common mechanism by which activated transcription is shut down in human cells.

Chromatin- and transcription-related factors repress transcription from within coding regions throughout the Saccharomyces cerevisiae genome

Previous studies in Saccharomyces cerevisiae have demonstrated that cryptic promoters within coding regions activate transcription in particular mutants. We have performed a comprehensive analysis of cryptic transcription in order to identify factors that normally repress cryptic promoters, to determine the amount of cryptic transcription genome-wide, and to study the potential for expression of genetic information by cryptic transcription. Our results show that a large number of factors that control chromatin structure and transcription are required to repress cryptic transcription from at least 1,000 locations across the S. cerevisiae genome. Two results suggest that some cryptic transcripts are translated. First, as expected, many cryptic transcripts contain an ATG and an open reading frame of at least 100 codons. Second, several cryptic transcripts are translated into proteins. Furthermore, a subset of cryptic transcripts tested is transiently induced in wild-type cells following a nutritional shift, suggesting a possible physiological role in response to a change in growth conditions. Taken together, our results demonstrate that, during normal growth, the global integrity of gene expression is maintained by a wide range of factors and suggest that, under altered genetic or physiological conditions, the expression of alternative genetic information may occur.

Combinatorial promoter design for engineering noisy gene expression

Understanding the behavior of basic biomolecular components as parts of larger systems is one of the goals of the developing field of synthetic biology. A multidisciplinary approach, involving mathematical and computational modeling in parallel with experimentation, is often crucial for gaining such insights and improving the efficiency of artificial gene network design. Here we used such an approach and developed a combinatorial promoter design strategy to characterize how the position and multiplicity of tetO(2) operator sites within the GAL1 promoter affect gene expression levels and gene expression noise in Saccharomyces cerevisiae. We observed stronger transcriptional repression and higher gene expression noise as a single operator site was moved closer to the TATA box, whereas for multiple operator-containing promoters, we found that the position and number of operator sites together determined the dose-response curve and gene expression noise. We developed a generic computational model that captured the experimentally observed differences for each of the promoters, and more detailed models to successively predict the behavior of multiple operator-containing promoters from single operator-containing promoters. Our results suggest that the independent binding of single repressors is not sufficient to explain the more complex behavior of the multiple operator-containing promoters. Taken together, our findings highlight the importance of joint experimental-computational efforts and some of the challenges of using a bottom-up approach based on well characterized, isolated biomolecular components for predicting the behavior of complex, synthetic gene networks, e.g., the whole can be different from the sum of its parts.

Presence of the anti-leukemic nucleotide analog, 2-chloro-2'-deoxyadenosine-5'-monophosphate, in a promoter sequence alters DNA binding of TATA-binding protein (TBP)

2-Chlorodeoxyadenosine (CldAdo, Cladribine), a nucleoside analog used in the treatment of hairy cell leukemia, is phosphorylated and incorporated into DNA, but is not an absolute chain terminator. We hypothesized that the presence of a chlorine molecule projecting into the DNA minor groove would affect DNA:protein-binding interactions. Here, we investigated recognition of and binding to double-stranded CldAMP-substituted TATA promoter sequences by human TATA-binding protein (TBP) using mobility shift assays. Depending on the site, CldAMP in place of dAMP within a TATA sequence decreased in vitro TBP binding by approximately 30% to 55% compared to control sites. When bound to a CldAMP-substituted TATA box, however, the TBP complex was more resistant to polyanions, suggesting enhanced stability. Limited exposure of the TBP:DNA complex to proteases indicated that TBP conformation was altered on CldAMP-substituted DNA compared to control. Further, binding of transcription factor IIB to TBP was diminished on analog-containing TATA sequences. These results suggest normal TBP-binding interactions--specifically recognition, stability, and conformation-are disrupted by CldAMP insertion into eukaryotic promoter sequences.

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.

Stimulation of the XPB ATP-dependent helicase by the beta subunit of TFIIE

TFIIE and TFIIH are essential for the promoter opening and escape that occurs as RNA polymerase II transits into early elongation. XPB, a subunit of TFIIH, contains an ATP-dependent helicase activity that is used in both of these processes. Here, we show that the smaller beta subunit of TFIIE stimulates the XPB helicase and ATPase activities. The larger alpha subunit can use its known inhibitory activity to moderate the stimulation by the beta subunit. Regions of TFIIE beta required for the helicase stimulation were identified. Mutants were constructed that are defective in stimulating the XPB helicase but still allow intact TFIIE to bind and recruit XPB and TFIIH to form the pre-initiation complex. In a test for the functional significance of the stimulatory effect of TFIIE beta, these mutant forms of TFIIE were shown to be defective in a transcription assay on linear DNA. The data suggest that the beta subunit of TFIIE is an ATPase and helicase co-factor that can assist the XPB subunit of TFIIH during transcription initiation and the transition to early elongation, enhancing the potential diversity of regulatory targets.

Quantitative assessment of in vitro interactions implicates TATA-binding protein as a target of the VP16C transcriptional activation region

Models of mechanisms of transcriptional activation in eukaryotes frequently invoke direct interactions of transcriptional activation domains with target proteins including general transcription factors or coactivators such as chromatin modifying complexes. The potent transcriptional activation domain (AD) of the VP16 protein of herpes simplex virus has previously been shown to interact with several general transcription factors including the TATA-binding protein (TBP), TBP-associated factor 9 (TAF9), TFIIA, and TFIIB. In surface plasmon resonance assays, a module of the VP16 AD designated VP16C (residues 452-490) bound to TBP with an affinity notably stronger than to TAF9, TFIIA or TFIIB. Moreover, the interaction of VP16C with TBP correlated well with transcriptional activity for a panel of VP16C substitution variants. These results support models in which the interactions of ADs with TBP play an important role in transcriptional activation.

The germ cell-specific transcription factor ALF. Structural properties and stabilization of the TATA-binding protein (TBP)-DNA complex

The assembly and stability of the RNA polymerase II transcription preinitiation complex on a eukaryotic core promoter involves the effects of TFIIA on the interaction between TATA-binding protein (TBP) and DNA. To extend our understanding of these interactions, we characterized properties of ALF, a germ cell-specific TFIIA-like factor. ALF was able to stabilize the binding of TBP to DNA, but it could not stabilize TBP mutants A184E, N189E, E191R, and R205E nor could it facilitate binding of the TBP-like factor TRF2/TLF to a consensus TATA element. However, phosphorylation of ALF with casein kinase II resulted in the partial restoration of complex formation using mutant TBPs. Studies of ALF-TBP complexes formed on the Adenovirus Major Late (AdML) promoter revealed protection of the TATA box and upstream sequences from -38 to -20 (top strand) and -40 to -22 (bottom strand). The half-life and apparent K(D) of this complex was determined to be 650 min and 4.8 +/- 2.7 nm, respectively. The presence of ALF or TFIIA did not significantly alter the ability of TBP to bind TATA elements from several testis-specific genes. Finally, analysis of the distinct, nonhomologous internal regions of ALF and TFIIAalpha/beta using circular dichroism spectroscopy provided the first evidence to suggest that these domains are unordered, a result consistent with other genetic and biochemical properties. Overall, the results show that while the sequence and regulation of the ALF gene are distinct from its somatic cell counterpart TFIIAalpha/beta, the TFIIAgamma-dependent interactions of these factors with TBP are nearly indistinguishable in vitro. Thus, a role for ALF in the assembly and stabilization of initiation complexes in germ cells is likely to be similar or identical to the role of TFIIA in somatic cells.

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.

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.

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.

Distinct cAMP response element-binding protein (CREB) domains stimulate different steps in a concerted mechanism of transcription activation

Hormones and neurotransmitters rapidly change patterns of gene expression in target cells by activating protein kinases that phosphorylate and modify the activity of CREB and other transcription factors. Although CREB was initially characterized as mediating the response to cAMP, CREB phosphorylation and activation are stimulated by diverse extracellular signals and protein kinases in essentially all cells and tissues. CREB stimulates transcription through a constitutive activation domain (CAD), which interacts with the promoter recognition factor TFIID, and through a kinase-inducible domain (KID), when Ser-133 is phosphorylated. The present study provides new insight into the mechanism of activation by showing that each of the CREB domains contributes to transcription initiation by stimulating sequential steps in the transcription reaction. The CAD effectively assembled a polymerase complex, as evidenced by constitutive activation in vivo and stimulation of single-round transcription in vitro. In contrast, phosphorylation of the KID in CREB stimulated isomerization of the polymerase complex, as determined by abortive initiation, and promoter clearance and/or reinitiation, as measured by multiple rounds of transcription. Our results provide evidence for a new model for CREB-mediated induction through a concerted mechanism involving establishment of a polymerase complex by the CAD, followed by stimulation of isomerization, promoter clearance, and/or reinitiation by phosphorylated KID to enhance target gene transcription.

The TATA motif, the CAA motif and the poly(T) transcription termination motif are all important for transcription re-initiation on plant tRNA genes

The effect of alteration of 5' and 3' flanking sequences on the transcription of plant tRNA genes was analysed using an RNA polymerase III-dependent in vitro transcription system derived from nuclei of cultured tobacco cells. A TATA-like sequence and the CAA motif frequently observed upstream of plant tRNA genes, and the poly(T) stretch usually present downstream, were shown to be necessary for efficient re-initiation of transcription. The CAA motif was shown to be a transcription initiation site. Introduction of the CAA and TATA-like motifs into a gene naturally lacking them greatly enhanced transcription by promoting efficient re-initiation.

Roles for non-TATA core promoter sequences in transcription and factor binding

Sequence blocks within the core region were swapped among RNA polymerase II promoters to explore effects on transcription in vitro. The pair of blocks flanking TATA strongly influenced general transcription, with an additional effect on promoter activation. These flanking elements induced a change in the ratio of activated to basal transcription, whereas swapping TATA and initiator sequences only altered general transcription levels. Swapping the flanking blocks influenced binding by general transcription factors TBP and TFIIB. The results suggest that the architecture of the extended core sequence is important in determining promoter-specific effects on both general transcription levels and the tightness of regulation.

Topological effects of the TATA box binding protein on minicircle DNA and a possible thermodynamic linkage to chromatin remodeling

DNA ring closure experiments on short restriction fragments ( approximately 160 bp) bound by the TATA box binding protein (TBP) have demonstrated the formation of negative topoisomers, consistent with crystallographically observed TBP-induced DNA untwisting but in contrast to most previous results on topological effects in plasmid DNA. The difference may be due to the high free energy cost of substantial writhe in minicircles. A speculative mechanism for the loss of TBP-induced writhe suggests that TBP is capable of inducing DeltaTw between 0 and -0.3 in minicircles, via loss of out-of-plane bending upon retraction of intercalating Phe stirrups, and that TBP can thus act as a "supercoil shock absorber". The proposed biological relevance of these observations is that they may model the behavior of DNA in constrained chromatin environments. Irrespective of the detailed mechanism of TBP-induced supercoiling, its existence suggests that chromatin remodeling and enhanced TBP binding are thermodynamically linked. Remodeling ATPases or histone acetylases release some of the negative supercoiling previously restrained by the nucleosome. When TBP takes up the supercoiling, its binding should be enhanced transiently until the unrestrained supercoiling is removed by diffusion or topoisomerases. The effect is predicted to be independent of local remodeling-induced changes in TATA box accessibility.