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      Pangolin genomes and the evolution of mammalian scales and immunity

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      1 , 2 , 3 , 4 , 1 , 2 , 1 , 2 , 4 , 1 , 2 , 4 , 4 , 4 , 5 , 6 , 7 , 7 , 8 , 7 , 4 , 9 , 10 , 9 , 10 , 9 , 2 , 11 , 4 , 12 , 12 , 8 , 1 , 2 , 13 , 12 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 4 , 21 , 1
      Genome Research
      Cold Spring Harbor Laboratory Press

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          Abstract

          Pangolins, unique mammals with scales over most of their body, no teeth, poor vision, and an acute olfactory system, comprise the only placental order (Pholidota) without a whole-genome map. To investigate pangolin biology and evolution, we developed genome assemblies of the Malayan ( Manis javanica) and Chinese ( M. pentadactyla) pangolins. Strikingly, we found that interferon epsilon ( IFNE), exclusively expressed in epithelial cells and important in skin and mucosal immunity, is pseudogenized in all African and Asian pangolin species that we examined, perhaps impacting resistance to infection. We propose that scale development was an innovation that provided protection against injuries or stress and reduced pangolin vulnerability to infection. Further evidence of specialized adaptations was evident from positively selected genes involving immunity-related pathways, inflammation, energy storage and metabolism, muscular and nervous systems, and scale/hair development. Olfactory receptor gene families are significantly expanded in pangolins, reflecting their well-developed olfaction system. This study provides insights into mammalian adaptation and functional diversification, new research tools and questions, and perhaps a new natural IFNE-deficient animal model for studying mammalian immunity.

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          Most cited references63

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Proteomics. Tissue-based map of the human proteome.

            Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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              InterProScan 5: genome-scale protein function classification

              Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterProScan. Developments include improvements and additions to the outputs of the software and the complete reimplementation of the software framework, resulting in a flexible and stable system that is able to use both multiprocessor machines and/or conventional clusters to achieve scalable distributed data analysis. InterProScan is freely available for download from the EMBl-EBI FTP site and the open source code is hosted at Google Code. Availability and implementation: InterProScan is distributed via FTP at ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/5/ and the source code is available from http://code.google.com/p/interproscan/. Contact: http://www.ebi.ac.uk/support or interhelp@ebi.ac.uk or mitchell@ebi.ac.uk
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                Author and article information

                Journal
                Genome Res
                Genome Res
                genome
                genome
                GENOME
                Genome Research
                Cold Spring Harbor Laboratory Press
                1088-9051
                1549-5469
                October 2016
                : 26
                : 10
                : 1312-1322
                Affiliations
                [1 ]Genome Informatics Research Laboratory, Centre for Research in Biotechnology for Agriculture (CEBAR), University of Malaya, 50603 Kuala Lumpur, Malaysia;
                [2 ]Department of Oral and Craniofacial Sciences, Faculty of Dentistry, University of Malaya, 50603 Kuala Lumpur, Malaysia;
                [3 ]Genome Solutions Sdn Bhd, Research Management & Innovation Complex, University of Malaya, 50603 Kuala Lumpur, Malaysia;
                [4 ]Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia 199004;
                [5 ]CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, 4050-123 Porto, Portugal;
                [6 ]Department of Biology, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal;
                [7 ]McDonnell Genome Institute, Washington University, St. Louis, Missouri 63108, USA;
                [8 ]National Zoological Park, Smithsonian Conservation Biology Institute, Washington, DC 20008, USA;
                [9 ]National Zoological Gardens of South Africa, Pretoria 0001, South Africa;
                [10 ]Department of Genetics, University of the Free State, Bloemfontein, 9300, South Africa;
                [11 ]Oral Cancer Research and Coordinating Centre, Faculty of Dentistry, University of Malaya, 50603 Kuala Lumpur, Malaysia;
                [12 ]Ex-Situ Conservation Division, Department of Wildlife and National Parks, 56100 Kuala Lumpur, Malaysia;
                [13 ]Peking-Tsinghua Center for Life Sciences, College of Life Sciences, Peking University, Beijing, China 100871;
                [14 ]NYU Shanghai, Pudong, Shanghai, China 200122;
                [15 ]Department of Neurology, Albert Einstein College of Medicine, Bronx, New York 10461, USA;
                [16 ]Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA;
                [17 ]Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA;
                [18 ]Department of Computer Science, Yale University, New Haven, Connecticut 06520, USA;
                [19 ]Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan 48201, USA;
                [20 ]Department of Neurology, School of Medicine, Wayne State University, Detroit, Michigan 48201, USA;
                [21 ]Oceanographic Center, Nova Southeastern University, Ft. Lauderdale, Florida 33004, USA
                Author notes
                [22]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-9210-3837
                Article
                9509184
                10.1101/gr.203521.115
                5052048
                27510566
                e6c32d14-9486-4aa5-bb4a-409d7c22ec0c
                © 2016 Choo et al.; Published by Cold Spring Harbor Laboratory Press

                This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 17 December 2015
                : 4 August 2016
                Page count
                Pages: 11
                Funding
                Funded by: University of Malaya and Ministry of Education
                Award ID: UM.C/HIR/MOHE/08
                Funded by: UMRG
                Award ID: RG541-13HTM
                Funded by: University of Malaya and Ministry of Education
                Funded by: Russian Ministry of Science
                Award ID: no.11.G34.31.0068
                Funded by: NIH-NHGRI
                Award ID: 5U54HG00307907
                Categories
                Research

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