Zobrazeno 1 - 10
of 310
pro vyhledávání: '"Computational Biology/Transcriptional Regulation"'
Publikováno v:
PLoS ONE, Vol 5, Iss 9, Pp 3307-3314 (2010)
PLoS ONE
PLoS ONE
Background: The recent DREAM4 blind assessment provided a particularly realistic and challenging setting for network reverse engineering methods. The in silico part of DREAM4 solicited the inference of cycle-rich gene regulatory networks from heterog
Publikováno v:
PLoS ONE
Background Perturbations of the intrauterine environment can affect fetal development during critical periods of plasticity, and can increase susceptibility to a number of age-related diseases (e.g., type 2 diabetes mellitus; T2DM), manifesting as la
Autor:
Mary, Muers
Publikováno v:
PLoS Biology
Cycling of gene expression in individual cells is controlled by dynamic chromatin remodeling.
In individual mammalian cells the expression of some genes such as prolactin is highly variable over time and has been suggested to occur in stochastic
In individual mammalian cells the expression of some genes such as prolactin is highly variable over time and has been suggested to occur in stochastic
Transcriptional regulation: effects of promoter proximal pausing on speed, synchrony and reliability
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 5, p e1001136 (2011)
PLoS computational biology, vol 7, iss 5
PLoS Computational Biology, vol 7, iss 5
PLoS Computational Biology
PLoS computational biology, vol 7, iss 5
PLoS Computational Biology, vol 7, iss 5
PLoS Computational Biology
Recent whole genome polymerase binding assays in the Drosophila embryo have shown that a substantial proportion of uninduced genes have pre-assembled RNA polymerase-II transcription initiation complex (PIC) bound to their promoters. These constitute
Autor:
Yingjia Shen, Denghui Xing, Xiaohui Wu, Jianti Zheng, Qingshun Quinn Li, Diana M. Kroll, Guoli Ji
Publikováno v:
PLoS ONE, Vol 6, Iss 2, p e14719 (2011)
PLoS ONE
PLoS ONE
Background Alternative polyadenylation as a mechanism in gene expression regulation has been widely recognized in recent years. Arabidopsis polyadenylation factor PCFS4 was shown to function in leaf development and in flowering time control. The func
Autor:
Holloway, David M., Lopes, Francisco J. P., da Fontoura Costa, Luciano, Travençolo, Bruno A. N., Golyandina, Nina, Usevich, Konstantin, Spirov, Alexander V.
Publikováno v:
PLoS Computational Biology
Positional information in developing embryos is specified by spatial gradients of transcriptional regulators. One of the classic systems for studying this is the activation of the hunchback (hb) gene in early fruit fly (Drosophila) segmentation by th
Autor:
Sean Thomas, Mark D. Biggin, Xiao Yong Li, Peter J. Sabo, John A. Stamatoyannopoulos, Michael B. Eisen, Tommy Kaplan
Publikováno v:
PLoS Genetics, Vol 7, Iss 2, p e1001290 (2011)
PLoS Genetics
PLoS Genetics
Transcription factors that drive complex patterns of gene expression during animal development bind to thousands of genomic regions, with quantitative differences in binding across bound regions mediating their activity. While we now have tools to ch
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 2, p e14673 (2011)
PLoS ONE, Vol 6, Iss 2, p e14673 (2011)
We have investigated macrophage activation using computational analyses of a compendium of transcriptomic data covering responses to agonists of the TLR pathway, Salmonella infection, and manufactured amorphous silica nanoparticle exposure. We inferr
Autor:
Maria Patrizia Somma, Ferdinando Di Cunto, Paolo Provero, C. Damasco, Maurizio Gatti, Antonio Lembo
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 2, p e14737 (2011)
PloS one 6 (2011): e14737. doi:10.1371/journal.pone.0014737
info:cnr-pdr/source/autori:Damasco C.; Lembo A.; Somma MP.; Gatti M.; Di Cunto F.; and Provero P./titolo:A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients/doi:10.1371%2Fjournal.pone.0014737/rivista:PloS one/anno:2011/pagina_da:e14737/pagina_a:/intervallo_pagine:e14737/volume:6
PLoS ONE, Vol 6, Iss 2, p e14737 (2011)
PloS one 6 (2011): e14737. doi:10.1371/journal.pone.0014737
info:cnr-pdr/source/autori:Damasco C.; Lembo A.; Somma MP.; Gatti M.; Di Cunto F.; and Provero P./titolo:A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients/doi:10.1371%2Fjournal.pone.0014737/rivista:PloS one/anno:2011/pagina_da:e14737/pagina_a:/intervallo_pagine:e14737/volume:6
INTRODUCTION: The classification of breast cancer patients into risk groups provides a powerful tool for the identification of patients who will benefit from aggressive systemic therapy. The analysis of microarray data has generated several gene expr
Publikováno v:
PLoS Genetics
PLoS Genetics, Vol 7, Iss 1, p e1001276 (2011)
PLoS Genetics, Vol 7, Iss 1, p e1001276 (2011)
Even within a defined cell type, the expression level of a gene differs in individual samples. The effects of genotype, measured factors such as environmental conditions, and their interactions have been explored in recent studies. Methods have also