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    <title>DSpace Collection:</title>
    <link>http://www.dspace.cam.ac.uk:80/handle/1810/227526</link>
    <description />
    <pubDate>Wed, 19 Jun 2013 18:53:33 GMT</pubDate>
    <dc:date>2013-06-19T18:53:33Z</dc:date>
    <item>
      <title>Identification of candidate genes linking systemic inflammation to atherosclerosis; results of a human in vivo LPS infusion study.</title>
      <link>http://www.dspace.cam.ac.uk:80/handle/1810/241593</link>
      <description>Title: Identification of candidate genes linking systemic inflammation to atherosclerosis; results of a human in vivo LPS infusion study.
Authors: Sivapalaratnam, Suthesh; Farrugia, Rosienne; Nieuwdorp, Max; Langford, Cordelia F; Van Beem, Rachel T; Maiwald, Stephanie; Zwaginga, Jaap Jan; Gusnanto, Arief; Watkins, Nicholas A; Trip, Mieke D; Ouwehand, Willem H
Abstract: Abstract Background It is widely accepted that atherosclerosis and inflammation are intimately linked. Monocytes play a key role in both of these processes and we hypothesized that activation of inflammatory pathways in monocytes would lead to, among others, proatherogenic changes in the monocyte transcriptome. Such differentially expressed genes in circulating monocytes would be strong candidates for further investigation in disease association studies. Methods Endotoxin, lipopolysaccharide (LPS), or saline control was infused in healthy volunteers. Monocyte RNA was isolated, processed and hybridized to Hver 2.1.1 spotted cDNA microarrays. Differential expression of key genes was confirmed by RT-PCR and results were compared to in vitro data obtained by our group to identify candidate genes. Results All subjects who received LPS experienced the anticipated clinical response indicating successful stimulation. One hour after LPS infusion, 11 genes were identified as being differentially expressed; 1 down regulated and 10 up regulated. Four hours after LPS infusion, 28 genes were identified as being differentially expressed; 3 being down regulated and 25 up regulated. No genes were significantly differentially expressed following saline infusion. Comparison with results obtained in in vitro experiments lead to the identification of 6 strong candidate genes (BATF, BID, C3aR1, IL1RN, SEC61B and SLC43A3) Conclusion In vivo endotoxin exposure of healthy individuals resulted in the identification of several candidate genes through which systemic inflammation links to atherosclerosis.
Description: RIGHTS : This article is licensed under the BioMed Central licence at  http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'.  In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work  - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.</description>
      <pubDate>Tue, 09 Aug 2011 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://www.dspace.cam.ac.uk:80/handle/1810/241593</guid>
      <dc:date>2011-08-09T23:00:00Z</dc:date>
    </item>
    <item>
      <title>Evolution of candidate transcriptional regulatory motifs since the human-chimpanzee divergence</title>
      <link>http://www.dspace.cam.ac.uk:80/handle/1810/238237</link>
      <description>Title: Evolution of candidate transcriptional regulatory motifs since the human-chimpanzee divergence
Authors: Donaldson, Ian J; Gottgens, Berthold
Abstract: Abstract Background Despite the recent completion of the chimpanzee genome project, few functionally significant sequence differences between humans and chimpanzees have thus far been identified. Alteration in transcriptional regulatory mechanisms represents an important platform for evolutionary change, suggesting that a significant proportion of functional human-chimpanzee sequence differences may affect regulatory elements. Results To explore this hypothesis, we performed genome-wide identification of conserved candidate transcription-factor binding sites that have evolved since the divergence of humans and chimpanzees. Analysis of candidate transcription-factor binding sites conserved between mouse and chimpanzee yet absent in human indicated that loss of candidate transcription-factor binding sites in the human lineage was not random but instead correlated with the biologic functions of associated genes. Conclusion Our data support the notion that changes in transcriptional regulation have contributed to the recent evolution of humans. Moreover, genes associated with mutated candidate transcription-factor binding sites highlight potential pathways underlying human-chimpanzee divergence.
Description: RIGHTS : This article is licensed under the BioMed Central licence at  http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'.  In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work  - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.</description>
      <pubDate>Wed, 28 Jun 2006 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://www.dspace.cam.ac.uk:80/handle/1810/238237</guid>
      <dc:date>2006-06-28T23:00:00Z</dc:date>
    </item>
    <item>
      <title>Fast and sensitive multiple alignment of large genomic sequences</title>
      <link>http://www.dspace.cam.ac.uk:80/handle/1810/238125</link>
      <description>Title: Fast and sensitive multiple alignment of large genomic sequences
Authors: Brudno, Michael; Chapman, Michael A; Gottgens, Berthold; Batzoglou, Serafim; Morgenstern, Burkhard
Abstract: Abstract Background Genomic sequence alignment is a powerful method for genome analysis and annotation, as alignments are routinely used to identify functional sites such as genes or regulatory elements. With a growing number of partially or completely sequenced genomes, multiple alignment is playing an increasingly important role in these studies. In recent years, various tools for pair-wise and multiple genomic alignment have been proposed. Some of them are extremely fast, but often efficiency is achieved at the expense of sensitivity. One way of combining speed and sensitivity is to use an anchored-alignment approach. In a first step, a fast search program identifies a chain of strong local sequence similarities. In a second step, regions between these anchor points are aligned using a slower but more accurate method. Results Herein, we present CHAOS, a novel algorithm for rapid identification of chains of local pair-wise sequence similarities. Local alignments calculated by CHAOS are used as anchor points to improve the running time of DIALIGN, a slow but sensitive multiple-alignment tool. We show that this way, the running time of DIALIGN can be reduced by more than 95% for BAC-sized and longer sequences, without affecting the quality of the resulting alignments. We apply our approach to a set of five genomic sequences around the stem-cell-leukemia (SCL) gene and demonstrate that exons and small regulatory elements can be identified by our multiple-alignment procedure. Conclusion We conclude that the novel CHAOS local alignment tool is an effective way to significantly speed up global alignment tools such as DIALIGN without reducing the alignment quality. We likewise demonstrate that the DIALIGN/CHAOS combination is able to accurately align short regulatory sequences in distant orthologues.
Description: RIGHTS : This article is licensed under the BioMed Central licence at  http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'.  In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work  - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.</description>
      <pubDate>Tue, 23 Dec 2003 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://www.dspace.cam.ac.uk:80/handle/1810/238125</guid>
      <dc:date>2003-12-23T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Protocol: Precision engineering of plant gene loci by homologous recombination cloning in Escherichia coli</title>
      <link>http://www.dspace.cam.ac.uk:80/handle/1810/238089</link>
      <description>Title: Protocol: Precision engineering of plant gene loci by homologous recombination cloning in Escherichia coli
Authors: Roden, Laura C; Gottgens, Berthold; Mutasa-Gottgens, Effie S
Abstract: Abstract Plant genome sequence data now provide opportunities to conduct molecular genetic studies at the level of the whole gene locus and above. Such studies will be greatly facilitated by adopting and developing further the new generation of genetic engineering tools, based on homologous recombination cloning in Escherichia coli, which are free from the constraints imposed by the availability of suitably positioned restriction sites. Here we describe the basis for homologous recombination cloning in E. coli, the available tools and resources, together with a protocol for long range cloning and manipulation of an Arabidopsis thaliana gene locus, to create constructs co-ordinately driven by locus-specific regulatory elements.
Description: RIGHTS : This article is licensed under the BioMed Central licence at  http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'.  In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work  - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.</description>
      <pubDate>Wed, 28 Sep 2005 23:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://www.dspace.cam.ac.uk:80/handle/1810/238089</guid>
      <dc:date>2005-09-28T23:00:00Z</dc:date>
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