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  • 1
    Publication Date: 2008-11-26
    Description: Transcription factor binding sites are being discovered at a rapid pace. It is now necessary to turn attention towards understanding how these sites work in combination to influence gene expression. Quantitative models that accurately predict gene expression from promoter sequence will be a crucial part of solving this problem. Here we present such a model, based on the analysis of synthetic promoter libraries in yeast (Saccharomyces cerevisiae). Thermodynamic models based only on the equilibrium binding of transcription factors to DNA and to each other captured a large fraction of the variation in expression in every library. Thermodynamic analysis of these libraries uncovered several phenomena in our system, including cooperativity and the effects of weak binding sites. When applied to the S. cerevisiae genome, a model of repression by Mig1 (which was trained on synthetic promoters) predicts a number of Mig1-regulated genes that lack significant Mig1-binding sites in their promoters. The success of the thermodynamic approach suggests that the information encoded by combinations of cis-regulatory sites is interpreted primarily through simple protein-DNA and protein-protein interactions, with complicated biochemical reactions-such as nucleosome modifications-being downstream events. Quantitative analyses of synthetic promoter libraries will be an important tool in unravelling the rules underlying combinatorial cis-regulation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677908/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677908/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gertz, Jason -- Siggia, Eric D -- Cohen, Barak A -- R01 GM078222/GM/NIGMS NIH HHS/ -- R01 GM078222-01A1/GM/NIGMS NIH HHS/ -- R01 GM078222-02/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Jan 8;457(7226):215-8. doi: 10.1038/nature07521. Epub 2008 Nov 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genome Sciences, Department of Genetics, Washington University in Saint Louis School of Medicine, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19029883" target="_blank"〉PubMed〈/a〉
    Keywords: Allosteric Site ; DNA/genetics/metabolism ; DNA-Binding Proteins/metabolism ; Down-Regulation ; *Gene Expression Regulation, Fungal ; *Gene Library ; Genes, Synthetic/*genetics ; Genome, Fungal/*genetics ; Models, Genetic ; Promoter Regions, Genetic/*genetics ; Regulatory Sequences, Nucleic Acid/*genetics ; Repressor Proteins/metabolism ; Saccharomyces cerevisiae/*genetics ; Saccharomyces cerevisiae Proteins/metabolism ; Thermodynamics ; Transcription Factors/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-09-08
    Description: Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Kundaje, Anshul -- Hariharan, Manoj -- Landt, Stephen G -- Yan, Koon-Kiu -- Cheng, Chao -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Rozowsky, Joel -- Alexander, Roger -- Min, Renqiang -- Alves, Pedro -- Abyzov, Alexej -- Addleman, Nick -- Bhardwaj, Nitin -- Boyle, Alan P -- Cayting, Philip -- Charos, Alexandra -- Chen, David Z -- Cheng, Yong -- Clarke, Declan -- Eastman, Catharine -- Euskirchen, Ghia -- Frietze, Seth -- Fu, Yao -- Gertz, Jason -- Grubert, Fabian -- Harmanci, Arif -- Jain, Preti -- Kasowski, Maya -- Lacroute, Phil -- Leng, Jing -- Lian, Jin -- Monahan, Hannah -- O'Geen, Henriette -- Ouyang, Zhengqing -- Partridge, E Christopher -- Patacsil, Dorrelyn -- Pauli, Florencia -- Raha, Debasish -- Ramirez, Lucia -- Reddy, Timothy E -- Reed, Brian -- Shi, Minyi -- Slifer, Teri -- Wang, Jing -- Wu, Linfeng -- Yang, Xinqiong -- Yip, Kevin Y -- Zilberman-Schapira, Gili -- Batzoglou, Serafim -- Sidow, Arend -- Farnham, Peggy J -- Myers, Richard M -- Weissman, Sherman M -- Snyder, Michael -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32GM008283-24/GM/NIGMS NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):91-100. doi: 10.1038/nature11245.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. mark.gerstein@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955619" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; *Encyclopedias as Topic ; GATA1 Transcription Factor/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; Organ Specificity ; Phosphorylation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein Interaction Maps ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid/*genetics ; Selection, Genetic/genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    ISSN: 0005-2744
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2012-11-30
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 5
    Publication Date: 2011-12-14
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2012-12-19
    Description: The closely linked human protocadherin (Pcdh) α, β, and γ gene clusters encode 53 distinct protein isoforms, which are expressed in a combinatorial manner to generate enormous diversity on the surface of individual neurons. This diversity is a consequence of stochastic promoter choice and alternative pre-mRNA processing. Here, we show...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 7
    Publication Date: 2011-12-28
    Description: Virus infection induces the production of type I and type II interferons (IFN-I and IFN-II), cytokines that mediate the antiviral response. IFN-I (IFN-α and IFN-β) induces the assembly of IFN-stimulated gene factor 3 (ISGF3), a multimeric transcriptional activation complex composed of STAT1, STAT2, and IFN regulatory factor 9. IFN-II (IFN-γ) induces the homodimerization of STAT1 to form the gamma-activated factor (GAF) complex. ISGF3 and GAF bind specifically to unique regulatory DNA sequences located upstream of IFN-I– and IFN-II–inducible genes, respectively, and activate the expression of distinct sets of antiviral genes. The balance between type I and type II IFN pathways plays a critical role in orchestrating the innate and adaptive immune systems. Here, we show that the phosphorylation of STAT1 by IκB kinase epsilon (IKKε) inhibits STAT1 homodimerization, and thus assembly of GAF, but does not disrupt ISGF3 formation. Therefore, virus and/or IFN-I activation of IKKε suppresses GAF-dependent transcription and promotes ISGF3-dependent transcription. In the absence of IKKε, GAF-dependent transcription is enhanced at the expense of ISGF3-mediated transcription, rendering cells less resistant to infection. We conclude that IKKε plays a critical role in regulating the balance between the IFN-I and IFN-II signaling pathways.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 8
    Publication Date: 2003-10-31
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 9
    Publication Date: 1987-05-01
    Description: When a bluff body is placed in a crossflow, the total temperature in its wake can become substantially less than the incoming one, as manifested by the fact that the recovery factor R on its rearmost surface takes negative values at high subsonic flow: this is the phenomenon referred to here as the Eckert—Weise effect. Although a vortex street has been a suspected cause, the issue of whether this is so, and what the mechanism is, has remained unsettled. In this experimental and theoretical investigation, we first examine the cause of the Eckert—Weise effect by enhancing the vortex shedding through acoustic synchronization: resonance between the vortex shedding and transversely standing acoustic waves in a wind tunnel. At the lowest synchronization, where a ringing sound emanates from the wind tunnel, R at the rearmost section of the cylinder is found to become negative even at a Mach number of 0.2; the base pressure (Cpb) takes dips correspondingly, indicative of the intensification of the vortex street. At this lowest acoustic resonance, the decrease of R and Cpb, uniform along the span, agrees with the expectation based on the spanwise uniformity of the lowest standing wave. At the next acoustic resonance where the standing wave now varies along the span, the corresponding dips in R and Cpb, non-uniform along the span, reveals an interesting ‘strip-theory ’-like behaviour of the vortex intensities in the vortex street. These results correlating the change in R with Cpbconfirm that the Eckert—Weise effect is indeed caused by the vortex shedding, the mechanism of which is examined theoretically in the latter half of the paper. A simple theoretical argument, bolstered by a full numerical simulation, shows that the time-varying static pressure field due to the vortex movement separates the instantaneous total temperature into hot and cold spots located around vortices; once time-averaged, however, the total temperature distribution conceals the presence of hot spots and takes the guise of a colder wake, the Eckert—Weise effect. Therefore the correct explanation of the Eckert—Weise effect, a time-averaged phenomenon, emerges only out of, and only as a superposition of, instantaneous total temperature separation around vortices. Such a separation is not confined to the outside of vortex cores; every vortex in its entirety becomes thermally separated. Nor is it limited to the far downstream equilibrium configuration of the Kármán vortex street but applies to the important near-wake vortices, and to any three-dimensional vortical structure as well. For low subsonic flows in particular, this dynamical explanation also leads to a similar separation of total pressure; these features may thus be potentially exploited as a general marker to identify and quantify vortices. © 1987, Cambridge University Press. All rights reserved.
    Print ISSN: 0022-1120
    Electronic ISSN: 1469-7645
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
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  • 10
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