We present a molecular model of eukaryotic gene transcription. For the β‐globin locus, we hypothesise that a transcription machine composed of multiple RNA polymerase II (PolII) assembles using the locus control region as a foundation. Transcription and locus remodelling can be achieved by pulling DNA through this multi‐PolII ‘reading head’. Once a transcription complex is formed, it may engage an active gene in several rounds of transcription. Observed intergenic sense and antisense transcripts may be the result of PolII pulling (...) the DNA through the reading head whilst searching for the promoter of a gene. Support for this hypothesis is provided using various data from the literature. In the model, DNA is packed in a 30‐nm chromatin fibre, thus gene regulatory regions separated by kilobases are close in space. This, and the need to store transcription‐induced supercoiling, may explain why functionally interacting regions are often separated by many kilobases. (shrink)

RNA polymerase II (RNAP II) non‐coding transcription is now known to cover almost the entire eukaryotic genome, a phenomenon referred to as pervasive transcription. As a consequence, regions previously thought to be non‐transcribed are subject to the passage of RNAP II and its associated proteins for histone modification. This is the case for the nucleosome‐depleted regions (NDRs), which provide key sites of entry into the chromatin for proteins required for the initiation of coding gene transcription and DNA replication. In this (...) review, recent data on the effects of pervasive transcription through NDRs are summarized and a model is proposed to explain how RNAP II‐driven transcription is able to modify the nucleosomes flanking the NDRs, leading to nucleosome repositioning and NDR closure. Even though much of the mechanistic detail underlying these events remains to be elucidated, such a model provides a basis to explain how non‐coding transcription through NDRs can regulate the initiation of coding gene expression and DNA replication. (shrink)

SummaryMutations in human genes encoding transcription factors are often dominant because one active allele cannot ensure a normal phenotype (haploinsufficiency). In other instances, heterozygous mutations of two genes are required for a phenotype to appear (combined haploinsufficiency). Here, we explore with models (i) the basis of haploinsufficiency and combined haploinsufficiency owing to mutations in transcription activators, and (ii) how the effects of such mutations can be amplified or buffered by subsequent steps in a transcription cascade. We propose that the non‐linear (...) (sigmoidal) response of transcription to the concentration of activators can explain haploinsufficiency. We further show that the sigmoidal character of the output of a cascade increases with the number of steps involved, the settings of which will determine the buffering or enhancement of the effects of a decreased concentration of an upstream activator. This exploration provides insights into the bases of compensatory mutations and on interloci interactions underlying oligogenic inheritance patterns. (shrink)

Transcription is a potential threat to genome integrity, and transcription‐associated DNA damage must be repaired for proper messenger RNA (mRNA) synthesis and for cells to transmit their genome intact into progeny. For a wide range of structurally diverse DNA lesions, cells employ the highly conserved nucleotide excision repair (NER) pathway to restore their genome back to its native form. Recent evidence suggests that NER factors function, in addition to the canonical DNA repair mechanism, in processes that facilitate mRNA synthesis or (...) shape the 3D chromatin architecture. Here, these findings are critically discussed and a working model that explains the puzzling clinical heterogeneity of NER syndromes highlighting the relevance of physiological, transcription‐associated DNA damage to mammalian development and disease is proposed. (shrink)

Developmental processes in complex animals are directed by a hardwired genomic regulatory code, the ultimate function of which is to set up a progression of transcriptional regulatory states in space and time. The code specifies the gene regulatory networks (GRNs) that underlie all major developmental events. Models of GRNs are required for analysis, for experimental manipulation and, most fundamentally, for comprehension of how GRNs work. To model GRNs requires knowledge of both their overall structure, which depends upon linkage (...) amongst regulatory genes, and the modular building blocks of which GRNs are heirarchically constructed. The building blocks consist of basic transcriptional control processes executed by one or a few functionally linked genes. We show how the functions of several such building blocks can be considered in mathematical terms, and discuss resolution of GRNs by both “top down” and “bottom up” approaches. BioEssays 24:1118–1129, 2002. © 2002 Wiley‐Periodicals, Inc. (shrink)

Measurements of open chromatin in specific cell types are widely used to infer the spatiotemporal activity of transcriptional enhancers. How reliable are these predictions? In this review, it is argued that the relationship between the accessibility and activity of an enhancer is insufficiently described by simply considering open versus closed chromatin, or active versus inactive enhancers. Instead, recent studies focusing on the quantitative nature of accessibility signal reveal subtle differences between active enhancers and their different inactive counterparts: the closed (...) silenced state and the accessible primed and repressed states. While the open structure as such is not a specific indicator of enhancer activity, active enhancers display a higher degree of accessibility than the primed and repressed states. Molecular mechanisms that may account for these quantitative differences are discussed. A model that relates molecular events at an enhancer to changes in its activity and accessibility in a developing tissue is also proposed. (shrink)

Transcription factors (TFs) have to find their binding sites, which are distributed throughout the genome. Facilitated diffusion is currently the most widely accepted model for this search process. Based on this model the TF alternates between one‐dimensional sliding along the DNA, and three‐dimensional bulk diffusion. In this view, the non‐specific associations between the proteins and the DNA play a major role in the search dynamics. However, little is known about how the DNA properties around the motif contribute to (...) the search. Accumulating evidence showing that TF binding sites are embedded within a unique environment, specific to each TF, leads to the hypothesis that the search process is facilitated by favorable DNA features that help to improve the search efficiency. Here, we review the field and present the hypothesis that TF‐DNA recognition is dictated not only by the motif, but is also influenced by the environment in which the motif resides. (shrink)

As cells approach S phase, many changes occur to create an environment conducive for DNA synthesis and commitment to cell division. The transcription rate of many genes encoding enzymes involved in DNA synthesis, including the dihydrofolate reductase (dhfr) gene, increases at the G1/S boundary of the cell cycle. Although a number of transcription factors interact to finely tune the levels of dhfr RNA produced, two families of transcription factors, Sp1 and E2F, play central roles in modulating dhfr levels. A region (...) containing several Sp1‐binding sites is required for both regulated and basal transcription levels. In contrast, the E2F‐binding sites near the transcription start site are required only for regulated transcription. A model is presented for the regulation of the dhfr gene which may also pertain to other cell cycle‐associated genes. (shrink)

The plant hormones auxin and brassinosteroid are both essential regulators of plant growth and known to influence both cell division and cell elongation in various developmental contexts. These physiological effects of auxin and brassinosteroid have been known for many years. Based on observations from external simultaneous application of both hormones to plant tissues, it has been suggested that they act in an interdependent and possibly synergistic manner. Recent work in the model plant Arabidopsis thaliana suggests that, at the molecular (...) level, auxin–brassinosteroid synergism manifests itself in the regulation of the expression of common target genes. However, whether this reflects genuine hormone pathway‐dependent crosstalk modulation of the transcription machinery or rather indirect effects of hormone action on other cellular activities, such as hormone biosynthesis or the polar transport of auxin, is not entirely clear. This article reviews the evidence for transcriptional crosstalk between auxin and brassinosteroid and its molecular basis. BioEssays 29:1115–1123, 2007. © 2007 Wiley Periodicals, Inc. (shrink)

The small ubiquitin‐like modifier SUMO regulates many aspects of cellular physiology to maintain cell homeostasis, both under normal conditions and during cell stress. Components of the transcriptional apparatus and chromatin are among the most prominent SUMO substrates. The prevailing view is that SUMO serves to repress transcription. However, as we will discuss in this review, this model needs to be refined, because recent studies have revealed that SUMO can also have profound positive effects on transcription.

Understanding how transcription factor (TF) binding is related to gene regulation is a moving target. We recently uncovered genome‐wide evidence for a “Hit‐and‐Run” model of transcription. In this model, a master TF “hits” a target promoter to initiate a rapid response to a signal. As the “hit” is transient, the model invokes recruitment of partner TFs to sustain transcription over time. Following the “run”, the master TF “hits” other targets to propagate the response genome‐wide. As such, a (...) TF may act as a “catalyst” to mount a broad and acute response in cells that first sense the signal, while the recruited TF partners promote long‐term adaptive behavior in the whole organism. This “Hit‐and‐Run” model likely has broad relevance, as TF perturbation studies across eukaryotes show small overlaps between TF‐regulated and TF‐bound genes, implicating transient TF‐target binding. Here, we explore this “Hit‐and‐Run” model to suggest molecular mechanisms and its biological relevance. (shrink)

The study of the mammalian immune system offers many advantages to systems biologists. The cellular components of the mammalian immune system are experimentally tractable; they can be isolated or differentiated from in vivo and ex vivo sources and have an essential role in health and disease. For these reasons, the major effectors cells of the innate immune system, macrophages, have been a particular focus in international genome and transcriptome consortia. Genomescale analysis of the transcriptome, and transcription initiation has enabled the (...) construction of predictive models of transcription control in macrophages that identify the points of control (the major nodes of networks) and the ways in which they interact. (shrink)

Hedgehog (HH) signaling is a conserved pathway that drives developmental growth and is essential for the formation of most organs. The expression of HH target genes is regulated by a dual switch mechanism where GLI proteins function as bifunctional transcriptional activators (in the presence of HH signaling) and transcriptional repressors (in the absence of HH signaling). This results in a tight control of GLI target gene expression during rapidly changing levels of pathway activity. It has long been presumed (...) that GLI proteins also repress target genes prior to the initial expression of HH in a given tissue. This idea forms the basis for the limb bud pre‐patterning model for regulating digit number. Recent findings indicate that GLI repressor proteins are indeed present prior to HH signaling but contrary to this model, GLI proteins are inert as they do not regulate transcriptional responses or enhancer chromatin modifications at this time. These findings suggest that GLI transcriptional repressor activity is not a default state as assumed, but is itself regulated in an unknown fashion. We discuss these findings and their implications for understanding pre‐patterning, digit regulation, and HH‐driven disease. (shrink)

Noncoding RNA has arrived at centre stage in recent years with the discovery of “hidden transcriptomes” in many higher organisms. Over two decades ago, noncoding transcripts were discovered in Drosophila Hox complexes, but their function has remained elusive. Recent studies1-3 have examined the role of these noncoding RNAs in Hox gene regulation, and have generated a fierce debate as to whether the noncoding transcripts are important for silencing or activation. Here we review the evidence, and show that, by taking developmental (...) timing into account, some of these apparently conflicting results can be resolved. We examine current models that explain these data and explore alternative interpretations. BioEssays 30:110–121, 2008. © 2008 Wiley Periodicals, Inc. (shrink)

Light mediates plant development partly by orchestrating changes in gene expression, a process which involves a complex combination of positive and negative signaling cascades. Genetic investigations using the small crucifer Arabidopsis thaliana have demonstrated a fundamental role for the down‐regulation of light‐inducible genes in response to darkness, thus offering a suitable model system for investigating how plants repress gene expression in a developmental context. Rapid progress in eukaryotic gene repression mechanisms in general, and light control of plant gene expression (...) in particular, sheds new light on how a class of ten pleiotropic COP/DET/FUS genes might function to down‐regulate light‐inducible genes in plants. (shrink)

The neuromuscular junction has been used for several decades as an excellent model system to examine the cellular and molecular events involved in the formation and maintenance of a differentiated chemical synapse. In this context, several laboratories have focused their efforts over the last 15 years on the important contribution of transcriptional mechanisms to the regulation of the development and plasticity of the postsynaptic apparatus in muscle fibers. Converging lines of evidence now indicate that post‐transcriptional events, operating (...) at the level of mRNA stability and targeting, are likely to also play key roles at the neuromuscular junction. Here, we present the recent findings highlighting the role of these additional molecular events and extend our review to include data showing that post‐transcriptional events are also important in the control of the expression of genes encoding synaptic proteins in muscle cells placed under different conditions. Finally, we discuss the possibility that mis‐regulation of post‐transcriptional events can occur in certain neuromuscular diseases and cause abnormalities of the neuromuscular junction. BioEssays 25:25–31, 2003. © 2002 Wiley Periodicals, Inc. (shrink)

Transcriptional repression and silencing have been strongly associated with hypoacetylation of histones. Accordingly, histone deacetylases, which remove acetyl groups from histones, have been shown to participate in mechanisms of transcriptional repression. Therefore, current models of the role of acetylation in transcriptional regulation focus on the acetylation status of histones and designate histone acetyltransferases, which add acetyl groups to histones, as transcriptional coactivators and histone deacetylases as corepressors. In recent years, an accumulation of studies have shown that (...) these enzymes also target non‐histone proteins and that histone deacetylases have clear roles as coactivators at a variety of genes, some of which are key regulators of cell growth and survival. This review summarizes the evidence for histone deacetylases as coactivators and provides models of coactivation mechanisms, some of which integrate roles of acetylated histones and non‐histone proteins in transcription. BioEssays 30:15–24, 2008. © 2007 Wiley Periodicals, Inc. (shrink)

Ribosomal RNA transcription was one of the first model systems for molecular characterization of a transcription regulatory mechanism and certainly one of the best studied in the widest range of organisms. In multicellular organisms, however, the issue of cell‐type‐specific regulation of rRNA transcription has not been well addressed. Here I propose that a systematic study of cell‐type‐specific regulation of rRNA transcription may reveal new regulatory mechanisms that have not been previously realized. Specifically, issues concerning the cell‐type‐specific requirement for rRNA (...) production, the universality of Pol I transcription complex and the division of rDNA into regulatory subdomains are discussed. BioEssays 28: 719–725, 2006. © 2006 Wiley Periodicals, Inc. (shrink)

In vitro experimental approaches are of central importance to contemporary molecular and cellular biology and toxicology. However, the scientific value or impact of in vitro results depends on their relevance in vivo. In vitro effect studies address inobservable in vivo phenomena through experiments on analogous in vitro phenomena. We present a theoretical basis developed to evaluate the in vivo relevance of in vitro effect studies. As a case study, the procedure for measuring specific gene transcription in isolated cell nuclei (nuclear (...) run-off method) is analyzed It is concluded that current evidence fails to justify in vivo interpretations of nuclear run-off experiments within the framework of theoretical models of transcription, implying that quantitative in vivo interpretations are unwarranted. Qualitative interpretations of nuclear run-off experiments may be justified by inferring the best explanation, especially when significant in vitro effects follow in vivo perturbations.Elements of a general theory are proposed. It is concluded that quantitative in vivo interpretations are warranted primarily in biochemical quantitation of biomolecules, while studies on biological function should be interpreted qualitatively in terms of causal explanations. Inferences to the best explanations are strengthened through additional evidence and the creation of experimental differences (effects). (shrink)

Regulation of transcriptional elongation is emerging as an important control mechanism for eukaryotic gene expression. In this essay, we review the basis of the current view of the regulation of elongation in the human c‐myc gene and discuss similarities in elongation control among the c‐myc, Drosophila hsp70 and the HIV‐1 genes. Based upon these similarities, we propose a model for control of expression of these genes at the elongation phase of transcription. This model suggests that distinct promoter (...) elements direct the assembly of RNA polymerase II transcription complexes which differ in their elongation efficiency. (shrink)

The nuclear DNA of eukaryotes is organized into a series of loops each topologically anchored by elements of the nuclear matrix. Evidence is reviewed which indicates that the anchorage points of the loops are formed by transcriptionally active genes and that individual loops function as replicons. The data suggests a specific model for coupling of DNA replication and transcription in eukaryotes.

The hematopoietic system consists of more than ten differentiated cell types, all of which are derived from a single type of hematopoietic stem cell. The accessibility and interest of this system have made it a model for understanding normal and abnormal differentiation of mammalian cells. Newer techniques have generated a mass of data that requires integrative approaches for analysis and interpretation. The traditional view of the differentiation program holds that a small number of regulators are involved in each stage (...) of cell specification. However, this may not be the case. Recent analyses have shown that almost all substantial subsets of genes, including the set of broadly expressed transcription factors, are expressed in patterns that are unique for each lineage. Further, much of this difference between lineages can be captured in two‐dimensional graphs. Understanding the biologic significance, mechanisms and constraints underlying these differences is a challenge for experimentalists and computational biologists alike. BioEssays 26:1276–1287, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

Enhancer elements are short stretches of nucleotides operationally defined by their cis‐acting ability to increase the transcription of nearby genes. They function relatively independently of position, orientation, and distance. Some show narrow tissue specificity while others permit constitutive expression in many different cell types. Although the first enhancer was described for simian virus 40 (SV40) more than five years ago, its mechanism of action has remained unclear. This review describes some of the models proposed to explain the physical role of (...) enhancers in eukaryotic transcription. (shrink)

The purpose of this review is to draw attention to the mechanism of dosage compensation in Drosophila as a model for the study of the regulation of gene activity through the modulation of transcription. Dosage compensation resembles some mechanisms of transcriptional regulation, found in widely divergent organisms, that do not play a role in the activation of silent genes but determine the level of activity of genes that have been induced through the action of specific activators. It differs (...) from other known regulatory mechanisms in that its effect is to achieve, on average, a twofold change in gene activity levels. This review introduces the notion that, in order to yield such a defined level of regulation, the mechanism of dosage compensation in Drosophila, and perhaps in Caenorhabditis as well, incorporates elements that govern both transcriptional enhancement and repression within the same multi‐protein regulatory complex. (shrink)

A recurrent theme in eukaryotic genome regulation stipulates that the properties of DNA are strongly influenced by the nucleoprotein complex into which it is assembled. Methylation of cytosine residues in vertebrate genomes has been implicated in influencing the assembly of locally repressive chromatin architecture. Current models suggest that covalent modification of DNA results in heritable, long‐term transcriptional silencing. In October of 2003, two manuscripts1,2 were published that challenge important aspects of this model, suggesting that modulation of both DNA (...) methylation itself, as well as the machinery implicated in its interpretation, are involved in acute gene regulation. BioEssays 26:217–220, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

It has been suggested that metallothioneins, discovered about 45 years ago, play a central role in heavy metal metabolism and detoxification, and in the management of various forms of stress. The metal‐regulatory transcription factor‐1 (MTF‐1) was shown to be essential for basal and heavy metal‐induced transcription of the stress‐responsive metallothionein‐I and metallothionein‐II. Recently it has become obvious that MTF‐1 has further roles in the transcriptional regulation of genes induced by various stressors and might even contribute to some aspects of (...) malignant cell growth. Furthermore, MTF‐1 is an essential gene, as mice null‐mutant for MTF‐1 die in utero due to liver degeneration. We describe here the state of knowledge on the complex activation of MTF‐1, and propose a model with MTF‐1 as an interconnected cellular stress‐sensor protein involved in heavy metal metabolism, hepatocyte differentiation and detoxification of toxic agents. BioEssays 23:1010–1017, 2001. © 2001 John Wiley & Sons, Inc. (shrink)

The research described here explores the idea of using Supreme Court oral arguments as pedagogical examples in first year classes to help students learn the role of hypothetical reasoning in law. The article presents examples of patterns of reasoning with hypotheticals in appellate legal argument and in the legal classroom and a process model of hypothetical reasoning that relates them to work in cognitive science and Artificial Intelligence. The process model describes the relationships between an advocate’s proposed test (...) for deciding a case or issue, the facts of the hypothetical and of the case to be decided, and the often conflicting legal principles and policies underlying the issue. The process model of hypothetical reasoning has been partially implemented in a computerized teaching environment, LARGO (“Legal ARgument Graph Observer”) that helps students identify, analyze, and reflect on episodes of hypothetical reasoning in oral argument transcripts. Using LARGO, students reconstruct examples of hypothetical reasoning in the oral arguments by representing them in simple diagrams that focus students on the proposed test, the hypothetical challenge to the test, and the responses to the challenge. The program analyzes the diagrams and provides feedback to help students complete the diagrams and reflect on the significance of the hypothetical reasoning in the argument. The article reports the results of experiments evaluating instruction of first year law students at the University of Pittsburgh using the LARGO program as applied to Supreme Court personal jurisdiction cases. The learning results so far have been mixed. Instruction with LARGO has been shown to help law student volunteers with lower LSAT scores learn skills and knowledge regarding hypothetical reasoning better than a text-based approach, but not when the students were required to participate. On the other hand, the diagrams students produce with LARGO have been shown to have some diagnostic value, distinguishing among law students on the basis of LSAT scores, posttest performance, and years in law school. This lends support to the underlying model of hypothetical argument and suggests using LARGO as a pedagogically diagnostic tool. (shrink)

SummaryGene transcription is strictly controlled by the interplay of regulatory events at gene promoters and gene‐distal regulatory elements called enhancers. Despite extensive studies of enhancers, we still have a very limited understanding of their mechanisms of action and their restricted spatio‐temporal activities. A better understanding would ultimately lead to fundamental insights into the control of gene transcription and the action of regulatory genetic variants involved in disease. Here, I review and discuss pros and cons of state‐of‐the‐art genomics methods to localize (...) and infer the activity of enhancers. Among the different approaches, profiling of enhancer RNAs yields the highest specificity and may be superior in detecting in vivo activity. I discuss their apparent similarities to promoters, which challenge the established view of enhancers and promoters as distinct entities, and present a unifying model of regulatory elements in transcriptional regulation, in which activity, transcriptional output and regulatory function is context specific. (shrink)

The transcription factor NF‐κB (p65/p50) plays a central role in the coordination of cellular responses by activating the transcription of numerous target genes. The precise role of the dynamics of NF‐κB signalling in regulating gene expression is still an open question. Here, we show that besides external stimulation intracellular parameters can influence the dynamics of NF‐κB. By applying mathematical modelling and bifurcation analyses, we show that NF‐κB is capable of exhibiting different types of dynamics in response to the same stimulus. (...) We identified the total NF‐κB concentration and the IκBα transcription rate constant as two critical parameters that modulate the dynamics and the fold change of NF‐κB. Both parameters might vary as a result of cell‐to‐cell variability. The regulation of the IκBα transcription rate constant, e.g. by co‐factors, provides the possibility of regulating the NF‐κB dynamics by crosstalk. (shrink)

A model is proposed that deals with the observed collinearities (spatial, temporal and quantitative) of Hox gene expression during pattern formation along the primary and secondary axes of vertebrates. In particular, in the proximodistal axis of the developing limb, it is assumed that a morphogen gradient is laid down with its source at the distal tip of the bud. The extracellular signals in every cell of the morphogenetic field are transduced and uniformly amplified so that molecules are produced in (...) the nucleus with appropriate physicochemical properties. These molecules can exert a concentration‐dependent force on the Hox cluster. It is assumed that, before activation, the Hox cluster is packaged as an elongated rigid body inside the chromatin and is covered by a coat that prevents the transcription factors reaching the genes of the cluster. The transcription factors are confined to the interchromatin domain and their density decreases with their distance from the chromatin surface. A gradual increase in the extracellular morphogen concentration causes a corresponding increase in the number of the nuclear molecules and the resulting bigger force pushes the Hox cluster toward the interchromatin domain. The step‐by‐step translocations of the Hox cluster initiate the consecutive exposure of genes to their transcription factors. The model explains how gene activation is triggered and it describes spatial, temporal and quantitative collinearities at the initial stages of gene expression. Some recent experiments of Hox deletions and duplications are accounted for by the model. BioEssays 26:189–195, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

Online dispute resolution (ODR) is an alternative to traditional litigation that can both significantly reduce the disadvantages suffered by litigants unable to afford an attorney and greatly improve court efficiency and economy. An important aspect of many ODR systems is a facilitator, a neutral party who guides the disputants through the steps of reaching an agreement. However, insufficient availability of facilitators impedes broad adoption of ODR systems. This paper describes a novel model of facilitation that integrates two distinct but (...) complementary knowledge sources: cognitive task analysis of facilitator behavior and corpus analysis of ODR session transcripts. This model is implemented in a decision-support system that (1) monitors cases to detect situations requiring immediate attention and (2) automates selection of standard text messages appropriate to the current state of the negotiations. This facilitation model has the potential to compensate for shortages of facilitators by improving the efficiency of experienced facilitators, assisting novice facilitators, and providing autonomous facilitation. (shrink)

MicroRNAs are non-coding parts of nuclear and mitochondrial genomes, preventing the weakest part of the genetic regulatory networks from being expressed and preventing the appearance of a too many attractors in these networks. They have also a great influence on the chromatin clock, which ensures the updating of the genetic regulatory networks. The post-transcriptional inhibitory activity by the microRNAs, which is partly unspecific, is due firstly to their possibly direct negative action during translation by hybridizing tRNAs, especially those inside (...) the mitochondrion, hence slowing mitochondrial respiration, and secondly to their action on a large number of putative m-RNA targets like those involved in immunetworks; We show that the circuits in the core of the interaction graphs are responsible for the small number of dedicated attractors that correspond to genetically controlled functions, partly due to a general filtering by the microRNAs. We analyze this influence as well as their impact on important functions like the control by the p53 network over the apoptosis/proliferation system and the homeostasis of the energy metabolism. In this last case, we show the role of two kinds of microRNAs, both involved in the control of the mitochondrial genome: (1) nuclear microRNAs, called mitoMirs, inhibiting mitochondrial genes and (2) putative mitochondrial microRNAs inhibiting the tRNAs functioning. (shrink)

This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the model acquires a lexicon by finding and statistically modeling consistent cross‐modal structure. The model has been implemented in a system using novel speech processing, computer vision, and machine learning algorithms. In evaluations the model successfully performed speech segmentation, word discovery and visual categorization from spontaneous infant‐directed speech paired with video images of (...) single objects. These results demonstrate the possibility of using state‐of‐the‐art techniques from sensory pattern recognition and machine learning to implement cognitive models which can process raw sensor data without the need for human transcription or labeling. (shrink)

The present paper offers some remarks on the significance of first order model theory for our understanding of theories, and more generally, for our understanding of the “structuralist” accounts of the nature of theoretical knowledge that we associate with Russell, Ramsey and Carnap. What is unique about the presentation is the prominence it assigns to Craig’s Interpolation Lemma, some of its corollaries, and the manner of their demonstration. They form the underlying logical basis of the analysis.

Enormous phylogenetic variation exists in the number and sizes of introns in protein‐coding genes. Although some consideration has been given to the underlying role of the population‐genetic environment in defining such patterns, the influence of the intracellular environment remains virtually unexplored. Drawing from observations on interactions between co‐transcriptional processes involved in splicing and mRNA 3′‐end formation, a mechanistic model is proposed for splice‐site recognition that challenges the commonly accepted intron‐ and exon‐definition models. Under the suggested model, splicing (...) factors that outcompete 3′‐end processing factors for access to intronic binding sites concurrently favor the recruitment of 3′‐end processing factors at the pre‐mRNA tail. This hypothesis sheds new light on observations such as the intron‐mediated enhancement of gene expression and the negative correlation between intron length and levels of gene expression. (shrink)

BackgroundMost end-of-life decisions are made by family members. Current ethical guidelines for family decision making are based on a hierarchical model that emphasizes the patient’s wishes over his or her best interests. Evidence suggests that the model poorly reflects the strategies and priorities of many families.MethodsResearchers observed and recorded 26 decision-making meetings between hospital staff and family members. Semi-structured follow-up interviews were conducted. Transcriptions were analyzed using qualitative techniques.ResultsFor both staff and families, consideration of a patient’s best interests (...) generally took priority over the patient’s wishes. Staff generally introduced discussion of the patient’s wishes for rhetorical purposes, such as persuasion. Competing moral frameworks, which de-emphasized the salience of patients’ autonomy and “right to choose,” played a role in family decision making.ConclusionsThe priority given to the patients’ wishes in the hierarchical model does not reflect the priorities of staff and families in making decisions about end-of-life care. (shrink)

Embryonic stem cells are derived from the preimplantation embryo and can differentiate into virtually any other cell type, which is governed by lineage specific transcriptions factors binding to cis regulatory elements to mediate changes in gene expression. The reliance on transcriptional regulation to maintain pluripotency makes ESCs a valuable model to study the role of distal CREs such as enhancers in modulating gene expression to affect cell fate decisions. This review will highlight recent advance on transcriptional enhancers, (...) focusing on studies performed in ESCs. In addition, we argue that the Nanog locus, which encodes for an ESC-critical TF, is particularly informative because it contains multiple co-regulated genes and enhancers in close proximity to one another. The unique landscape at Nanog permits the study of ongoing questions including whether multiple enhancers function additively versus synergistically, determinants of gene specificity, and cell-to-cell variability in gene expression. Nanog encodes a transcription factor required to maintain ESC pluripotency. The Nanog locus is an ideal model to study enhancers because it contains multiple highly potent super-enhancers within a small region. Nanog and three super-enhancers are in close physical proximity but only two SEs are required for Nanog expression. (shrink)

Short (“seed”) or extended base pairing between microRNAs (miRNAs) and their target RNAs enables post‐transcriptional silencing in many organisms. These interactions allow the computational prediction of potential targets. In model organisms, predicted targets are frequently validated experimentally; hence meaningful miRNA‐regulated processes are reported. However, in non‐models, these reports mostly rely on computational prediction alone. Many times, further bioinformatic analyses such as Gene Ontology (GO) enrichment are based on these in silico projections. Here such approaches are reviewed, their caveats (...) are highlighted and the ease of picking false targets from predicted lists is demonstrated. Discoveries that shed new light on how miRNAs evolved to regulate targets in various phyletic groups are discussed, in addition to the pitfalls of target identification in non‐model organisms. The goal is to prevent the misuse of bioinformatic tools, as they cannot bypass the biological understanding of miRNA–target regulation. (shrink)

In this paper, we study the performance of baseline hidden Markov model (HMM) for segmentation of speech signals. It is applied on single-speaker segmentation task, using Hindi speech database. The automatic phoneme segmentation framework evolved imitates the human phoneme segmentation process. A set of 44 Hindi phonemes were chosen for the segmentation experiment, wherein we used continuous density hidden Markov model (CDHMM) with a mixture of Gaussian distribution. The left-to-right topology with no skip states has been selected as (...) it is effective in speech recognition due to its consistency with the natural way of articulating the spoken words. This system accepts speech utterances along with their orthographic “transcriptions” and generates segmentation information of the speech. This corpus was used to develop context-independent hidden Markov models (HMMs) for each of the Hindi phonemes. The system was trained using numerous sentences that are relevant to provide information to the passengers of the Metro Rail. The system was validated against a few manually segmented speech utterances. The evaluation of the experiments shows that the best performance is obtained by using a combination of two Gaussians mixtures and five HMM states. A category-wise phoneme error analysis has been performed, and the performance of the phonetic segmentation has been reported. The modeling of HMMs has been implemented using Microsoft Visual Studio 2005 (C++), and the system is designed to work on Windows operating system. The goal of this study is automatic segmentation of speech at phonetic level. (shrink)

Through their transcript products genes regulate the rates at which an immense variety of transcripts and subsequent proteins occur. Understanding the mechanisms that determine which genes are expressed, and when they are expressed, is one of the keys to genetic manipulation for many purposes, including the development of new treatments for disease. Viewing each gene in a genome as a distinct variable that is either on or off, or more realistically as a continuous variable, the values of some of these (...) variables influence the values of others through the regulatory proteins they express, including, of course, the possibility that the rate of expression of a gene at one time may, in various circumstances, influence the rate of expression of that same gene at a later time. If we imagine an arrow drawn from each gene expression variable at a given time to a gene variable whose expression it influences a short while after, the result is a network, technically a directed acyclic graph. For example, the DAG in Figure 1 is a representation of a system in which the expression level of gene G1 at time 1 ) causes the expression level of G2, which in turn causes the expression level of G3. The arrows in Figure 1 which do not have a variable at their tails are “error terms” which represent all of the causes of a variable other than the ones explicitly represented in the DAG. The DAG describes more than associations—it describes causal connections among gene expression rates. A shock to a cell—by mutation, heating, chemical treatment, etc. may alter the DAG describing the relations among gene expressions, for example by activating a gene that was otherwise not expressed, producing a cascade of new expression effects. Although “knockout” experiments can reveal some of the underlying causal network of gene expression levels, unless guided by information from other sources, such experiments are limited in how much of the network structure they can reveal, due to the sheer number of possible combinations of experimental manipulations of genes necessary to reveal the complete causal network. Recent developments have made it possible to compare quantitatively the expression of tens of thousands of genes in cells from different sources in a single experiment, and to trace gene expression over time in thousands of genes simultaneously. cDNA microarrays are already producing extensive data, much of it available on the web. Thus there are calls for analytic software that can be applied to microarray and other data to help infer regulatory networks. In this paper we will review current techniques that are available for searching for the causal relations between variables, describe algorithmic and data gathering obstacles to applying these techniques to gene expression levels, and describe the prospects for overcoming these obstacles. (shrink)

DREAM complexes are transcriptional regulators that control the expression of hundreds to thousands of target genes involved in the cell cycle, quiescence, differentiation, and apoptosis. These complexes contain many subunits that can vary according to the considered target genes. Depending on their composition and the nature of the partners they recruit, DREAM complexes control gene expression through diverse mechanisms, including chromatin remodeling, transcription cofactor and factor recruitment at various genomic binding sites. This complexity is particularly high in mammals. Since (...) the discovery of the first dREAM complex (drosophila Rb, E2F, and Myb) in Drosophila melanogaster, model organisms such as Caenorhabditis elegans, and plants allowed a deeper understanding of the processes regulated by DREAM‐like complexes. Here, we review the conservation of these complexes. We discuss the contribution of model organisms to the study of DREAM‐mediated transcriptional regulatory mechanisms and their relevance in characterizing novel activities of DREAM complexes. (shrink)

Spontaneous mutations that perturb myelination occur in a range of species including man, and together with engineered mutations have been used to study disease, normal myelination and axon/glial inter‐relationships. Only a minority of the currently defined mutations have an apparently simple pathogenesis due to lack of a functional protein. Mutations in the myelin basic protein gene lead to a lack of protein, resulting in changes in the structure of myelin, which can be rescued by transgenic complementation. The pathogenesis of autosomal (...) dominant and X‐linked mutations affecting either oligodendrocytes or Schwann cells is more complex. Point mutations may act in a dominant negative manner and gene dosage is clearly linked to phenotypic change. Mutations in regulatory genes, such as those encoding transcription factors, can also disturb myelination by selected cell types. Other less‐well studied and unexpected consequences of myelin mutations, such as seizures in mutations affecting genes expressed in Schwann cells and axonal changes associated with dysmyelination, are also considered. With the major developments in gene mapping and cloning it is now relevant to study mutations in a variety of species with the real prospect of defining their molecular basis. Examples are given of unusual, but potentially useful, uncharacterised mutations in dog and bovine. (shrink)

This paper explores the explanatory models of mental challenges among Black Africans in England. It argues that understanding these models is critical for providing culturally appropriate care to this population. The study employed qualitative methodology, and interpretative phenomenological analysis (IPA). Twelve mental health service users who are living in England and self‐identified as first or second‐generation Black Africans were purposively selected. The data were gathered using face‐to‐face semistructured interviews. Data were manually analysed in accordance with IPA concepts of searching for (...) common, unique and idiosyncratic themes across transcripts. The findings revealed three themes Black Africans associated to their explanatory model of mental health challenges: complexities of migration, African‐centred worldview and negative life experiences. To help alleviate the Eurocentric nature of mental health practice in England, it is hoped that this explanatory model will become an integral part of mental health practice in England and around the world. (shrink)

Recent work on the application of neural networks to language modeling has shown that models based on certain neural architectures can capture syntactic information from utterances and sentences even when not given an explicitly syntactic objective. We examine whether a fully data-driven model of language development that uses a recurrent neural network encoder for utterances can track how child language utterances change over the course of language development in a way that is comparable to what is achieved using established (...) language assessment metrics that use language-specific information carefully designed by experts. Given only transcripts of child language utterances from the CHILDES Database and no pre-specified information about language, our model captures not just the structural characteristics of child language utterances, but how these structures reflect language development over time. We establish an evaluation methodology with which we can examine how well our model tracks language development compared to three known approaches: Mean Length of Utterance, the Developmental Sentence Score, and the Index of Productive Syntax. We discuss the applicability of our model to data-driven assessment of child language development, including how a fully data-driven approach supports the possibility of increased research in multilingual and cross-lingual issues. (shrink)

During development of the anterior eye segment, cells that originate from the surface epithelium or the neuroepithelium need to interact with mesenchymal cells, which predominantly originate from the neural crest. Failures of proper interaction result in a complex of developmental disorders such Peters' anomaly, Axenfeld–Rieger's syndrome or aniridia. Here we review the role of transcription factors that have been identified to be involved in the coordination of anterior eye development. Among these factors is PAX6, which is active in both epithelial (...) and mesenchymal cells during ocular development, albeit at different doses and times. We propose that PAX6 is a key element that synchronizes the complex interaction of cell types of different origin, which are all needed for proper morphogenesis of the anterior eye. We discuss several molecular mechanisms that might explain the effects of haploinsufficiency of PAX6 and other transcription factors, and the broad variation of the resulting phenotypes. BioEssays 26:374–386, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

The ring‐shaped ATPase machine, cohesin, regulates sister chromatid cohesion, transcription, and DNA repair by topologically entrapping DNA. Here, we propose a rigid scaffold model to explain how the cohesin regulators Pds5 and Wapl release cohesin from chromosomes. Recent studies have established the Smc3‐Scc1 interface as the DNA exit gate of cohesin, revealed a requirement for ATP hydrolysis in ring opening, suggested regulation of the cohesin ATPase activity by DNA and Smc3 acetylation, and provided insights into how Pds5 and Wapl (...) open this exit gate. We hypothesize that Pds5, Wapl, and SA1/2 form a rigid scaffold that docks on Scc1 and anchors the N‐terminal domain of Scc1 (Scc1N) to the Smc1 ATPase head. Relative movements between the Smc1‐3 ATPase heads driven by ATP and Wapl disrupt the Smc3‐Scc1 interface. Pds5 binds the dissociated Scc1N and prolongs this open state of cohesin, releasing DNA. We review the evidence supporting this model and suggest experiments that can further test its key principles. (shrink)

Despite ever‐increasing accumulation of genomic data, the fundamental question of how individual genes are switched on during development, lineage‐specification and differentiation is not fully answered. It is widely accepted that this involves the interaction between at least three fundamental regulatory elements: enhancers, promoters and insulators. Enhancers contain transcription factor binding sites which are bound by transcription factors (TFs) and co‐factors expressed during cell fate decisions and maintain imposed patterns of activation, at least in part, via their epigenetic modification. This information (...) is transferred from enhancers to their cognate promoters often by coming into close physical proximity to form a ‘transcriptional hub’ containing a high concentration of TFs and co‐factors. The mechanisms underlying these stages of transcriptional activation are not fully explained. This review focuses on how enhancers and promoters are activated during differentiation and how multiple enhancers work together to regulate gene expression. We illustrate the currently understood principles of how mammalian enhancers work and how they may be perturbed in enhanceropathies using expression of the α‐globin gene cluster during erythropoiesis, as a model. (shrink)