<?xml version="1.0" encoding="utf-8" ?>
<rss version="2.0">
<channel>
<title>Program in Systems Biology Publications and Presentations</title>
<copyright>Copyright (c) 2013 University of Massachusetts Medical School All rights reserved.</copyright>
<link>http://escholarship.umassmed.edu/sysbio_pubs</link>
<description>Recent documents in Program in Systems Biology Publications and Presentations</description>
<language>en-us</language>
<lastBuildDate>Thu, 25 Apr 2013 01:39:31 PDT</lastBuildDate>
<ttl>3600</ttl>


	
		
	

	
		
	

	
		
	

	
		
	

	
		
	







<item>
<title>Diet-Induced Developmental Acceleration Independent of TOR and Insulin in C. elegans</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/24</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/24</guid>
<pubDate>Tue, 23 Apr 2013 12:40:45 PDT</pubDate>
<description>
	<![CDATA[
	<p>Dietary composition has major effects on physiology. Here, we show that developmental rate, reproduction, and lifespan are altered in C. elegans fed Comamonas DA1877 relative to those fed a standard E. coli OP50 diet. We identify a set of genes that change in expression in response to this diet and use the promoter of one of these (acdh-1) as a dietary sensor. Remarkably, the effects on transcription and development occur even when Comamonas DA1877 is diluted with another diet, suggesting that Comamonas DA1877 generates a signal that is sensed by the nematode. Surprisingly, the developmental effect is independent from TOR and insulin signaling. Rather, Comamonas DA1877 affects cyclic gene expression during molting, likely through the nuclear hormone receptor NHR-23. Altogether, our findings indicate that different bacteria elicit various responses via distinct mechanisms, which has implications for diseases such as obesity and the interactions between the human microbiome and intestinal cells.</p>

	]]>
</description>

<author>Lesley T. MacNeil et al.</author>


<category>Caenorhabditis elegans</category>

<category>Caenorhabditis elegans Proteins</category>

<category>Insulin</category>

<category>Gene Expression Regulation, Developmental</category>

<category>Diet</category>

</item>






<item>
<title>A compendium of Caenorhabditis elegans RNA binding proteins predicts extensive regulation at multiple levels</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/23</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/23</guid>
<pubDate>Tue, 23 Apr 2013 12:15:37 PDT</pubDate>
<description>
	<![CDATA[
	<p>Gene expression is regulated at multiple levels, including transcription and translation, as well as mRNA and protein stability. Although systems-level functions of transcription factors and microRNAs are rapidly being characterized, few studies have focused on the posttranscriptional gene regulation by RNA binding proteins (RBPs). RBPs are important to many aspects of gene regulation. Thus, it is essential to know which genes encode RBPs, which RBPs regulate which gene(s), and how RBP genes are themselves regulated. Here we provide a comprehensive compendium of RBPs from the nematode Caenorhabditis elegans (wRBP1.0). We predict that as many as 887 (4.4%) of C. elegans genes may encode RBPs ~250 of which likely function in a gene-specific manner. In addition, we find that RBPs, and most notably gene-specific RBPs, are themselves enriched for binding and modification by regulatory proteins, indicating the potential for extensive regulation of RBPs at many different levels. wRBP1.0 will provide a significant contribution toward the comprehensive delineation of posttranscriptional regulatory networks and will provide a resource for further studies regulation by RBPs.</p>

	]]>
</description>

<author>Alex M. Tamburino et al.</author>


<category>RNA-Binding Proteins</category>

<category>Caenorhabditis elegans</category>

<category>RNA Processing, Post-Transcriptional</category>

<category>Gene Expression Regulation</category>

</item>






<item>
<title>Complex expression dynamics and robustness in C. elegans insulin networks</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/22</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/22</guid>
<pubDate>Tue, 23 Apr 2013 12:15:36 PDT</pubDate>
<description>
	<![CDATA[
	<p>Gene families expand by gene duplication and resulting paralogs diverge through mutation. Functional diversification can include neo-functionalization as well as sub-functionalization of ancestral functions. In addition, redundancy in which multiple genes fulfill overlapping functions is often maintained. Here, we use the family of 40 Caenorhabditis elegans insulins to gain insight into the balance between specificity and redundancy. The insulin/insulin-like growth factor (IIS) pathway comprises a single receptor, DAF-2. To date, no single insulin-like peptide recapitulates all DAF-2-associated phenotypes, likely due to redundancy between insulin-like genes. To provide a first-level annotation of potential patterns of redundancy, we comprehensively delineate the spatiotemporal and conditional expression of all 40 insulins in living animals. We observe extensive dynamics in expression that can explain the lack of simple patterns of pair-wise redundancy. We propose a model in which gene families evolve to attain differential alliances in different tissues and in response to a range of environmental stresses.</p>

	]]>
</description>

<author>Ashlyn D. Ritter et al.</author>


<category>Caenorhabditis elegans</category>

<category>Caenorhabditis elegans Proteins</category>

<category>Insulin</category>

<category>Gene Expression</category>

</item>






<item>
<title>Integration of Metabolic and Gene Regulatory Networks Modulates the C. elegans Dietary Response</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/21</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/21</guid>
<pubDate>Tue, 23 Apr 2013 12:15:35 PDT</pubDate>
<description>
	<![CDATA[
	<p>Expression profiles are tailored according to dietary input. However, the networks that control dietary responses remain largely uncharacterized. Here, we combine forward and reverse genetic screens to delineate a network of 184 genes that affect the C. elegans dietary response to Comamonas DA1877 bacteria. We find that perturbation of a mitochondrial network composed of enzymes involved in amino acid metabolism and the TCA cycle affects the dietary response. In humans, mutations in the corresponding genes cause inborn diseases of amino acid metabolism, most of which are treated by dietary intervention. We identify several transcription factors (TFs) that mediate the changes in gene expression upon metabolic network perturbations. Altogether, our findings unveil a transcriptional response system that is poised to sense dietary cues and metabolic imbalances, illustrating extensive communication between metabolic networks in the mitochondria and gene regulatory networks in the nucleus.</p>

	]]>
</description>

<author>Emma Watson et al.</author>


<category>Gene Regulatory Networks</category>

<category>Metabolic Networks and Pathways</category>

<category>Caenorhabditis elegans</category>

</item>






<item>
<title>The Hierarchy of the 3D Genome</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/20</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/20</guid>
<pubDate>Tue, 23 Apr 2013 12:15:34 PDT</pubDate>
<description>
	<![CDATA[
	<p>Mammalian genomes encode genetic information in their linear sequence, but appropriate expression of their genes requires chromosomes to fold into complex three-dimensional structures. Transcriptional control involves the establishment of physical connections among genes and regulatory elements, both along and between chromosomes. Recent technological innovations in probing the folding of chromosomes are providing new insights into the spatial organization of genomes and its role in gene regulation. It is emerging that folding of large complex chromosomes involves a hierarchy of structures, from chromatin loops that connect genes and enhancers to larger chromosomal domains and nuclear compartments. The larger these structures are along this hierarchy, the more stable they are within cells, while becoming more stochastic between cells. Here, we review the experimental and theoretical data on this hierarchy of structures and propose a key role for the recently discovered topologically associating domains.</p>

	]]>
</description>

<author>Johan H. Gibcus et al.</author>


<category>Genome</category>

<category>Chromosome Structures</category>

<category>Protein Conformation</category>

<category>Protein Folding</category>

<category>Gene Expression Regulation</category>

</item>






<item>
<title>An integrated encyclopedia of DNA elements in the human genome</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/19</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/19</guid>
<pubDate>Wed, 02 Jan 2013 09:30:44 PST</pubDate>
<description>
	<![CDATA[
	<p>The human genome encodes the blueprint of life, but the function of the vast majority of its nearly three billion bases is unknown. The Encyclopedia of DNA Elements (ENCODE) project has systematically mapped regions of transcription, transcription factor association, chromatin structure and histone modification. These data enabled us to assign biochemical functions for 80% of the genome, in particular outside of the well-studied protein-coding regions. Many discovered candidate regulatory elements are physically associated with one another and with expressed genes, providing new insights into the mechanisms of gene regulation. The newly identified elements also show a statistical correspondence to sequence variants linked to human disease, and can thereby guide interpretation of this variation. Overall, the project provides new insights into the organization and regulation of our genes and genome, and is an expansive resource of functional annotations for biomedical research.</p>

	]]>
</description>

<author>Ian Dunham et al.</author>


<category>Alleles</category>

<category>Animals</category>

<category>Binding Sites</category>

<category>Chromatin</category>

<category>Chromatin Immunoprecipitation</category>

<category>Chromosomes, Human</category>

<category>DNA</category>

<category>DNA Footprinting</category>

<category>DNA Methylation</category>

<category>DNA-Binding Proteins</category>

<category>Deoxyribonuclease I</category>

<category>*Encyclopedias as Topic</category>

<category>Exons</category>

<category>Genetic Predisposition to Disease</category>

<category>Genetic Variation</category>

<category>Genome, Human</category>

<category>Genome-Wide Association Study</category>

<category>*Genomics</category>

<category>Histones</category>

<category>Humans</category>

<category>Mammals</category>

<category>*Molecular Sequence Annotation</category>

<category>Neoplasms</category>

<category>Polymorphism, Single Nucleotide</category>

<category>Promoter Regions, Genetic</category>

<category>Proteins</category>

<category>Regulatory Sequences, Nucleic Acid</category>

<category>Sequence Analysis, RNA</category>

<category>Transcription Factors</category>

<category>Transcription, Genetic</category>

</item>






<item>
<title>Analysis of long-range chromatin interactions using Chromosome Conformation Capture</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/18</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/18</guid>
<pubDate>Wed, 02 Jan 2013 09:30:43 PST</pubDate>
<description>
	<![CDATA[
	<p>Chromosome Conformation Capture, or 3C, is a pioneering method for investigating the three-dimensional structure of chromatin. 3C is used to analyze long-range looping interactions between any pair of selected genomic loci. Most 3C studies focus on defined genomic regions of interest that can be up to several hundred Kb in size. The method has become widely adopted and has been modified to increase throughput to allow unbiased genome-wide analysis. These large-scale adaptations are presented in other articles in this issue of Methods. Here we describe the 3C procedure in detail, including the appropriate use of the technology, the experimental set-up, an optimized protocol and troubleshooting guide, and considerations for data analysis. The protocol described here contains previously unpublished improvements, which save time and reduce labor. We pay special attention to primer design, appropriate controls and data analysis. We include notes and discussion based on our extensive experience to help researchers understand the principles of 3C-based techniques and to avoid common pitfalls and mistakes. This paper represents a complete resource and detailed guide for anyone who desires to perform 3C.</p>

	]]>
</description>

<author>Natalia Naumova et al.</author>


<category>Chromatin</category>

<category>Chromosomes</category>

<category>Nucleic Acid Conformation</category>

</item>






<item>
<title>From cells to chromatin: Capturing snapshots of genome organization with 5C technology</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/17</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/17</guid>
<pubDate>Wed, 02 Jan 2013 09:30:42 PST</pubDate>
<description>
	<![CDATA[
	<p>In eukaryotes, genome organization can be observed on many levels and at different scales. This organization is important not only to reduce chromosome length but also for the proper execution of various biological processes. High-resolution mapping of spatial chromatin structure was made possible by the development of the chromosome conformation capture (3C) technique. 3C uses chemical cross-linking followed by proximity-based ligation of fragmented DNA to capture frequently interacting chromatin segments in cell populations. Several 3C-related methods capable of higher chromosome conformation mapping throughput were reported afterwards. These techniques include the 3C-carbon copy (5C) approach, which offers the advantage of being highly quantitative and reproducible. We provide here an updated reference protocol for the production of 5C libraries analyzed by next-generation sequencing or onto microarrays. A procedure used to verify that 3C library templates bear the high quality required to produce superior 5C libraries is also described. We believe that this detailed protocol will help guide researchers in probing spatial genome organization and its role in various biological processes.</p>

	]]>
</description>

<author>Maria A. Ferraiuolo et al.</author>


<category>Chromatin</category>

<category>Chromosomes</category>

<category>Nucleic Acid Conformation</category>

<category>Genomic Library</category>

</item>






<item>
<title>Correlated alterations in genome organization, histone methylation, and DNA-lamin A/C interactions in Hutchinson-Gilford progeria syndrome</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/16</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/16</guid>
<pubDate>Wed, 02 Jan 2013 09:30:41 PST</pubDate>
<description>
	<![CDATA[
	<p>Hutchinson-Gilford progeria syndrome (HGPS) is a premature aging disease that is frequently caused by a de novo point mutation at position 1824 in LMNA. This mutation activates a cryptic splice donor site in exon 11, and leads to an in-frame deletion within the prelamin A mRNA and the production of a dominant negative lamin A protein, known as progerin. Here we show that primary HGPS skin fibroblasts experience genome-wide correlated alterations in patterns of H3K27me3 deposition, DNA-lamin A/C associations, and, at late passages, genome-wide loss of spatial compartmentalization of active and inactive chromatin domains. We further demonstrate that the H3K27me3 changes associate with gene expression alterations in HGPS cells. Our results support a model that the accumulation of progerin in the nuclear lamina leads to altered H3K27me3 marks in heterochromatin, possibly through the down-regulation of EZH2, and disrupts heterochromatin-lamina interactions. These changes may result in transcriptional misregulation and eventually trigger the global loss of spatial chromatin compartmentalization in late passage HGPS fibroblasts.</p>

	]]>
</description>

<author>Rachel Patton McCord et al.</author>


<category>Progeria</category>

<category>Nuclear Lamina</category>

<category>Heterochromatin</category>

<category>Nuclear Proteins</category>

</item>






<item>
<title>3C-based technologies to study the shape of the genome</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/15</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/15</guid>
<pubDate>Wed, 02 Jan 2013 09:30:40 PST</pubDate>
<description>
	<![CDATA[
	<p>Guest editors' introduction to November 2012 issue of Methods, which provides detailed and up-to-date lab protocols of the many 3C (chromosome conformation capture) methodologies, provided by expert groups that often first pioneered these technologies.</p>

	]]>
</description>

<author>Wouter de Laat et al.</author>


<category>Chromatin</category>

<category>Chromosomes</category>

<category>Nucleic Acid Conformation</category>

<category>Genome</category>

<category>Genomics</category>

</item>






<item>
<title>Iterative correction of Hi-C data reveals hallmarks of chromosome organization</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/14</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/14</guid>
<pubDate>Wed, 05 Sep 2012 11:14:49 PDT</pubDate>
<description>
	<![CDATA[
	<p>Extracting biologically meaningful information from chromosomal interactions obtained with genome-wide chromosome conformation capture (3C) analyses requires the elimination of systematic biases. We present a computational pipeline that integrates a strategy to map sequencing reads with a data-driven method for iterative correction of biases, yielding genome-wide maps of relative contact probabilities. We validate this ICE (iterative correction and eigenvector decomposition) technique on published data obtained by the high-throughput 3C method Hi-C, and we demonstrate that eigenvector decomposition of the obtained maps provides insights into local chromatin states, global patterns of chromosomal interactions, and the conserved organization of human and mouse chromosomes.</p>

	]]>
</description>

<author>Maxim Imakaev et al.</author>


<category>Chromosome Positioning</category>

<category>Chromosomes</category>

<category>DNA</category>

<category>Genomics</category>

<category>Nucleic Acid Conformation</category>

</item>






<item>
<title>HiTC : Exploration of High-Throughput &apos;C&apos; experiments</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/13</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/13</guid>
<pubDate>Wed, 05 Sep 2012 11:14:47 PDT</pubDate>
<description>
	<![CDATA[
	<p>The R/Bioconductor package HiTC facilitates the exploration of high-throughtput 3C-based data. It allows users to import and export 'C' data, to transform, normalize, annotate and visualize interaction maps. The package operates within the Bioconductor framework, and thus offers new opportunities for future development in this field.Availability and Implementation: The R package HiTC is available from the Bioconductor web site. A detailed vignette provides additional documentation and help for using the package.</p>

	]]>
</description>

<author>Nicolas Servant et al.</author>


<category>Chromosome Positioning</category>

<category>Chromosomes</category>

<category>DNA</category>

<category>Genomics</category>

<category>Nucleic Acid Conformation</category>

<category>Genetic Techniques</category>

</item>






<item>
<title>Yeast one-hybrid assays: A historical and technical perspective</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/12</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/12</guid>
<pubDate>Mon, 20 Aug 2012 08:57:00 PDT</pubDate>
<description>
	<![CDATA[
	<p>Since its development about two decades ago, the yeast one-hybrid (Y1H) assay has become an important technique for detecting physical interactions between sequence-specific regulatory transcription factor proteins (TFs) and their DNA target sites. Multiple versions of the Y1H methodology have been developed, each with technical differences and unique advantages. We will discuss several of these technical variations in detail, and also provide some ideas for how Y1H assays can be further improved.</p>

	]]>
</description>

<author>John S. Reece-Hoyes et al.</author>


<category>Two-Hybrid System Techniques</category>

</item>






<item>
<title>An encyclopedia of mouse DNA elements (Mouse ENCODE)</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/11</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/11</guid>
<pubDate>Mon, 20 Aug 2012 08:56:59 PDT</pubDate>
<description>
	<![CDATA[
	<p>To complement the human Encyclopedia of DNA Elements (ENCODE) project and to enable a broad range of mouse genomics efforts, the Mouse ENCODE Consortium is applying the same experimental pipelines developed for human ENCODE to annotate the mouse genome.</p>

	]]>
</description>

<author>Mouse ENCODE Consortium et al.</author>


<category>Mice</category>

<category>Genome</category>

</item>






<item>
<title>Enhanced Y1H assays for Arabidopsis</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/10</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/10</guid>
<pubDate>Fri, 10 Aug 2012 11:28:48 PDT</pubDate>
<description>
	<![CDATA[
	<p>We present an Arabidopsis thaliana full-length transcription factor resource of 92% of root stele-expressed transcription factors and 74.5% of root-expressed transcription factors. We demonstrate its use with enhanced yeast one-hybrid (eY1H) screening for rapid, systematic mapping of plant transcription factor-promoter interactions. We identified 158 interactions with 13 stele-expressed promoters, many of which occur physically or are regulatory in planta.</p>

	]]>
</description>

<author>Allison Gaudinier et al.</author>


<category>Arabidopsis</category>

<category>Gene Expression Regulation, Plant</category>

<category>Plant Roots</category>

<category>Promoter Regions, Genetic</category>

<category>Reproducibility of Results</category>

<category>Transcription Factors</category>

<category>*Two-Hybrid System Techniques</category>

</item>






<item>
<title>A regulatory cascade of three transcription factors in a single specific neuron, DVC, in Caenorhabditis elegans</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/9</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/9</guid>
<pubDate>Fri, 10 Aug 2012 11:28:47 PDT</pubDate>
<description>
	<![CDATA[
	<p>Homeobox proteins are critical regulators of developmental gene transcription and cell specification. Many insights into transcriptional regulation have been gained from studies in the nematode Caenorhabditis elegans. We investigated the expression and regulation of the C. elegans homeobox gene ceh-63, which encodes a single-homeodomain transcription factor of 152 amino acids. ceh-63 is expressed in the interneuron DVC in both sexes, from late embryogenesis through adulthood, and two pairs of uterine cells in reproductive hermaphrodites only. A reporter gene fusion, encoding GFP fused to the full-length CEH-63, also drove weak inconsistent expression in additional unidentified cells in the head and tail. A potential ceh-63 null mutant had no obvious abnormalities, except for a possible increase in subtle defects of the DVC axon projection. No behavioural responses were observed upon either laser ablation of DVC or activation of DVC through light stimulation of channelrhodopsin-2 specifically expressed in this neuron. The function of DVC therefore remains enigmatic. A transcriptional regulatory cascade operating in DVC was defined from the LIM-homeodomain protein CEH-14 through CEH-63 to the helix-turn-helix transcription factor MBR-1. Both CEH-14 and CEH-63 individually bound the mbr-1 promoter in a yeast one-hybrid assay. A model is proposed suggesting that CEH-14 activates ceh-63 and then along with CEH-63 co-ordinately activates mbr-1.</p>

	]]>
</description>

<author>Huiyun Feng et al.</author>


<category>Animals</category>

<category>Caenorhabditis elegans</category>

<category>Caenorhabditis elegans Proteins</category>

<category>Female</category>

<category>Gene Expression Regulation, Developmental</category>

<category>Homeodomain Proteins</category>

<category>Interneurons</category>

<category>LIM-Homeodomain Proteins</category>

<category>Male</category>

<category>Transcription Factors</category>

</item>






<item>
<title>Genomics in 2011: challenges and opportunities</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/8</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/8</guid>
<pubDate>Fri, 10 Aug 2012 11:28:46 PDT</pubDate>
<description>
	<![CDATA[
	<p>As we come to the end of 2011, Genome Biology has asked some members of our Editorial Board for their views on the state of play in genomics. What was their favorite paper of 2011? What are the challenges in their particular research area? Who has had the biggest influence on their careers? What advice would they give to young researchers embarking on a career in research?</p>

	]]>
</description>

<author>David J. Adams et al.</author>


<category>Genomics</category>

</item>






<item>
<title>Capturing chromosome conformation</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/7</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/7</guid>
<pubDate>Fri, 10 Aug 2012 11:28:45 PDT</pubDate>
<description>
	<![CDATA[
	<p>We describe an approach to detect the frequency of interaction between any two genomic loci. Generation of a matrix of interaction frequencies between sites on the same or different chromosomes reveals their relative spatial disposition and provides information about the physical properties of the chromatin fiber. This methodology can be applied to the spatial organization of entire genomes in organisms from bacteria to human. Using the yeast Saccharomyces cerevisiae, we could confirm known qualitative features of chromosome organization within the nucleus and dynamic changes in that organization during meiosis. We also analyzed yeast chromosome III at the G1 stage of the cell cycle. We found that chromatin is highly flexible throughout. Furthermore, functionally distinct AT- and GC-rich domains were found to exhibit different conformations, and a population-average 3D model of chromosome III could be determined. Chromosome III emerges as a contorted ring.</p>

	]]>
</description>

<author>Job Dekker et al.</author>


<category>AT Rich Sequence</category>

<category>Cell Fractionation</category>

<category>Cell Nucleus</category>

<category>Centromere</category>

<category>Chromatin</category>

<category>Chromosomes, Fungal</category>

<category>Cross-Linking Reagents</category>

<category>Deoxyribonuclease EcoRI</category>

<category>Formaldehyde</category>

<category>*G1 Phase</category>

<category>GC Rich Sequence</category>

<category>Genome, Fungal</category>

<category>Mathematics</category>

<category>*Meiosis</category>

<category>Mitosis</category>

<category>Polymerase Chain Reaction</category>

<category>Protein Conformation</category>

<category>Saccharomyces cerevisiae</category>

<category>Telomere</category>

</item>






<item>
<title>A closer look at long-range chromosomal interactions</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/6</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/6</guid>
<pubDate>Fri, 10 Aug 2012 11:28:44 PDT</pubDate>
<description>
	<![CDATA[
	<p>Higher-order chromosome organization is emerging as a major determinant of gene regulation. Although the structure of chromatin at the level of individual nucleosomes has been studied in considerable detail, less is known about higher levels of organization. Two new methods have been developed that can be used to obtain detailed information about the higher-order folding of chromatin. Using these methods, long-range looping interactions have been shown to occur upon activation of the murine beta-globin locus, explaining the long-standing question of how gene regulatory elements can act at large genomic distances from their target genes.</p>

	]]>
</description>

<author>Job Dekker</author>


<category>Animals</category>

<category>Binding Sites</category>

<category>Chromatin</category>

<category>Chromosome Mapping</category>

<category>DNA</category>

<category>Globins</category>

<category>Humans</category>

<category>Locus Control Region</category>

</item>






<item>
<title>Evidence for transcript networks composed of chimeric RNAs in human cells</title>
<link>http://escholarship.umassmed.edu/sysbio_pubs/5</link>
<guid isPermaLink="true">http://escholarship.umassmed.edu/sysbio_pubs/5</guid>
<pubDate>Fri, 10 Aug 2012 11:28:43 PDT</pubDate>
<description>
	<![CDATA[
	<p>The classic organization of a gene structure has followed the Jacob and Monod bacterial gene model proposed more than 50 years ago. Since then, empirical determinations of the complexity of the transcriptomes found in yeast to human has blurred the definition and physical boundaries of genes. Using multiple analysis approaches we have characterized individual gene boundaries mapping on human chromosomes 21 and 22. Analyses of the locations of the 5' and 3' transcriptional termini of 492 protein coding genes revealed that for 85% of these genes the boundaries extend beyond the current annotated termini, most often connecting with exons of transcripts from other well annotated genes. The biological and evolutionary importance of these chimeric transcripts is underscored by (1) the non-random interconnections of genes involved, (2) the greater phylogenetic depth of the genes involved in many chimeric interactions, (3) the coordination of the expression of connected genes and (4) the close in vivo and three dimensional proximity of the genomic regions being transcribed and contributing to parts of the chimeric RNAs. The non-random nature of the connection of the genes involved suggest that chimeric transcripts should not be studied in isolation, but together, as an RNA network.</p>

	]]>
</description>

<author>Sarah Djebali et al.</author>


<category>Algorithms</category>

<category>Cells</category>

<category>Chimerin Proteins</category>

<category>Chromosomes, Human, Pair 1</category>

<category>Female</category>

<category>Gene Expression Profiling</category>

<category>Gene Regulatory Networks</category>

<category>Humans</category>

<category>Male</category>

<category>Microarray Analysis</category>

<category>Models, Biological</category>

<category>Nucleic Acid Amplification Techniques</category>

<category>RNA</category>

<category>RNA Isoforms</category>

<category>Transcription, Genetic</category>

<category>Transcriptome</category>

<category>Validation Studies as Topic</category>

</item>





</channel>
</rss>
