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      An Improved Canine Genome and a Comprehensive Catalogue of Coding Genes and Non-Coding Transcripts

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          Abstract

          The domestic dog, Canis familiaris, is a well-established model system for mapping trait and disease loci. While the original draft sequence was of good quality, gaps were abundant particularly in promoter regions of the genome, negatively impacting the annotation and study of candidate genes. Here, we present an improved genome build, canFam3.1, which includes 85 MB of novel sequence and now covers 99.8% of the euchromatic portion of the genome. We also present multiple RNA-Sequencing data sets from 10 different canine tissues to catalog ∼175,000 expressed loci. While about 90% of the coding genes previously annotated by EnsEMBL have measurable expression in at least one sample, the number of transcript isoforms detected by our data expands the EnsEMBL annotations by a factor of four. Syntenic comparison with the human genome revealed an additional ∼3,000 loci that are characterized as protein coding in human and were also expressed in the dog, suggesting that those were previously not annotated in the EnsEMBL canine gene set. In addition to ∼20,700 high-confidence protein coding loci, we found ∼4,600 antisense transcripts overlapping exons of protein coding genes, ∼7,200 intergenic multi-exon transcripts without coding potential, likely candidates for long intergenic non-coding RNAs (lincRNAs) and ∼11,000 transcripts were reported by two different library construction methods but did not fit any of the above categories. Of the lincRNAs, about 6,000 have no annotated orthologs in human or mouse. Functional analysis of two novel transcripts with shRNA in a mouse kidney cell line altered cell morphology and motility. All in all, we provide a much-improved annotation of the canine genome and suggest regulatory functions for several of the novel non-coding transcripts.

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          Long noncoding RNA as modular scaffold of histone modification complexes.

          Long intergenic noncoding RNAs (lincRNAs) regulate chromatin states and epigenetic inheritance. Here, we show that the lincRNA HOTAIR serves as a scaffold for at least two distinct histone modification complexes. A 5' domain of HOTAIR binds polycomb repressive complex 2 (PRC2), whereas a 3' domain of HOTAIR binds the LSD1/CoREST/REST complex. The ability to tether two distinct complexes enables RNA-mediated assembly of PRC2 and LSD1 and coordinates targeting of PRC2 and LSD1 to chromatin for coupled histone H3 lysine 27 methylation and lysine 4 demethylation. Our results suggest that lincRNAs may serve as scaffolds by providing binding surfaces to assemble select histone modification enzymes, thereby specifying the pattern of histone modifications on target genes.
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            Primer3Plus, an enhanced web interface to Primer3

            Here we present Primer3Plus, a new web interface to the popular Primer3 primer design program as an enhanced alternative for the CGI- scripts that come with Primer3. Primer3 consists of a command line program and a web interface. The web interface is one large form showing all of the possible options. This makes the interface powerful, but at the same time confusing for occasional users. Primer3Plus provides an intuitive user interface using present-day web technologies and has been developed in close collaboration with molecular biologists and technicians regularly designing primers. It focuses on the task at hand, and hides detailed settings from the user until these are needed. We also added functionality to automate specific tasks like designing primers for cloning or step-wise sequencing. Settings and designed primer sequences can be stored locally for later use. Primer3Plus supports a range of common sequence formats, such as FASTA. Finally, primers selected by Primer3Plus can be sent to an order form, allowing tight integration into laboratory ordering systems. Moreover, the open architecture of Primer3Plus allows easy expansion or integration of external software packages. The Primer3Plus Perl source code is available under GPL license from SourceForge. Primer3Plus is available at http://www.bioinformatics.nl/primer3plus.
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              Identification of novel transcripts in annotated genomes using RNA-Seq.

              We describe a new 'reference annotation based transcript assembly' problem for RNA-Seq data that involves assembling novel transcripts in the context of an existing annotation. This problem arises in the analysis of expression in model organisms, where it is desirable to leverage existing annotations for discovering novel transcripts. We present an algorithm for reference annotation-based transcript assembly and show how it can be used to rapidly investigate novel transcripts revealed by RNA-Seq in comparison with a reference annotation. The methods described in this article are implemented in the Cufflinks suite of software for RNA-Seq, freely available from http://bio.math.berkeley.edu/cufflinks. The software is released under the BOOST license. cole@broadinstitute.org; lpachter@math.berkeley.edu Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                13 March 2014
                : 9
                : 3
                : e91172
                Affiliations
                [1 ]Science for Life Laboratories, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
                [2 ]Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
                [3 ]Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, United States of America
                [4 ]Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America
                [5 ]Boston Children's Hospital, Boston, Massachusetts, United States of America
                [6 ]Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
                [7 ]Vertebrate and Health Genomics, The Genome Analysis Centre, Norwich, United Kingdom
                Florida State University, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: MGG KLT MPH NZ JRSM A. Lundquist M. Pirun JPM MGF JJ EM JA FdP ESL. Performed the experiments: JRSM A. Lundquist M. Pirun JJ AC RS EM AG AA LA DB A. Berlin A. Brown GG A. Liu JPM M. Priest TS. Analyzed the data: MPH MGG JRSM NZ GS BTM JTM EM M. Pirun AZ. Contributed reagents/materials/analysis tools: MPH NZ JRSM A. Lundquist MGF RS JPM. Wrote the paper: MGG KLT MPH JRSM. Planned and oversaw the project: KLT.

                Article
                PONE-D-13-49410
                10.1371/journal.pone.0091172
                3953330
                24625832
                33e45227-8fff-4cfb-b5df-eab0e01fac94
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 November 2013
                : 8 February 2014
                Page count
                Pages: 11
                Funding
                This work was funded in part by NHGRI (U54 HG003067), Uppsala University, Swedish Medical Research Council, Research Council FORMAS, and the European Commission (FP7-LUPA, GA-201370), and a start-up grant from the Science for Life Laboratory to MGG. KLT is a recipient of a EURYI from the ESF and received a Consolidator Award from ERC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Biotechnology
                Computational Biology
                Evolutionary Biology
                Genetics
                Genomics
                Genome Analysis Tools
                Transcriptomes
                Genome Sequencing
                Microbiology
                Model Organisms
                Computer Science
                Computing Methods
                Software Engineering

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                Uncategorized

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