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      Genome-wide discovery of lincRNAs with spatiotemporal expression patterns in the skin of goat during the cashmere growth cycle

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          Abstract

          Background

          Long intergenic noncoding RNAs (lincRNAs) have been recognized in recent years as key regulators of biological processes. However, lincRNAs in goat remain poorly characterized both across various tissues and during different developmental stages in goat ( Capra hircus).

          Results

          We performed the genome-wide discovery of the lincRNAs in goat by combining the RNA-seq dataset that were generated from 28 cashmere goat skin samples and the 12 datasets of goat tissues downloaded from the NCBI database. We identified a total of 5546 potential lincRNA transcripts that overlapped 3641 lincRNA genes. These lincRNAs exhibited a tissue-specific pattern. Specifically, there are 584 lincRNAs expressed exclusively in only one tissue, and 91 were highly expressed in hair follicle (HF). In addition, 2350 protein-coding genes and 492 lincRNAs were differentially expressed in the skin of goat. The majority exhibited the remarkable differential expression during the transition of the goat skin from the May–June to August–October time point, which covered the different seasons. Fundamental biological processes, such as skin development, were significantly enriched in these genes. Furthermore, we identified several lincRNAs highly expressed in the HF, which exhibited not only the co-expression pattern with the key factors to the HF development but also the activated expression in the August to October time point. Intriguingly, one of spatiotemporal lincRNAs, linc-chig1598 could be a potential regulator of distal-less homeobox 3 expression during the secondary hair follicle growth.

          Conclusions

          This study will facilitate future studies aimed at unravelling the function of lincRNAs in hair follicle development.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-4864-x) contains supplementary material, which is available to authorized users.

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          Most cited references39

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          The transcriptional landscape of the mammalian genome.

          This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
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            Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs

            RNA-Seq provides an unbiased way to study a transcriptome, including both coding and non-coding genes. To date, most RNA-Seq studies have critically depended on existing annotations, and thus focused on expression levels and variation in known transcripts. Here, we present Scripture, a method to reconstruct the transcriptome of a mammalian cell using only RNA-Seq reads and the genome sequence. We apply it to mouse embryonic stem cells, neuronal precursor cells, and lung fibroblasts to accurately reconstruct the full-length gene structures for the vast majority of known expressed genes. We identify substantial variation in protein-coding genes, including thousands of novel 5′-start sites, 3′-ends, and internal coding exons. We then determine the gene structures of over a thousand lincRNA and antisense loci. Our results open the way to direct experimental manipulation of thousands of non-coding RNAs, and demonstrate the power of ab initio reconstruction to render a comprehensive picture of mammalian transcriptomes.
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              Global identification of human transcribed sequences with genome tiling arrays.

              Elucidating the transcribed regions of the genome constitutes a fundamental aspect of human biology, yet this remains an outstanding problem. To comprehensively identify coding sequences, we constructed a series of high-density oligonucleotide tiling arrays representing sense and antisense strands of the entire nonrepetitive sequence of the human genome. Transcribed sequences were located across the genome via hybridization to complementary DNA samples, reverse-transcribed from polyadenylated RNA obtained from human liver tissue. In addition to identifying many known and predicted genes, we found 10,595 transcribed sequences not detected by other methods. A large fraction of these are located in intergenic regions distal from previously annotated genes and exhibit significant homology to other mammalian proteins.
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                Author and article information

                Contributors
                songs_193@163.com
                yangmindk@163.com
                yefanglee1994@163.com
                mhb2903@163.com
                zhaoqianjun@caas.cn
                pyb@iascaas.net.cn
                hexiaohong@caas.cn
                J.Mwacharo@cgiar.org
                nyang@cau.edu.cn
                yuehui.ma@263.net
                jianglin@caas.cn
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                26 June 2018
                26 June 2018
                2018
                : 19
                : 495
                Affiliations
                [1 ]GRID grid.464332.4, State Key Laboratory of Animal Nutrition, , Institute of Animal Science (IAS), Chinese Academy of Agricultural Sciences (CAAS), ; Beijing, 100193 China
                [2 ]ISNI 0000 0004 0530 8290, GRID grid.22935.3f, Department of Animal Genetics and Breeding, , China Agricultural University, ; Beijing, 100094 China
                [3 ]Small Ruminant Genomics Group, International Center for Agricultural Research in the Dry Areas (ICARDA), P. O. Box 5689, Addis Ababa, Ethiopia
                Author information
                http://orcid.org/0000-0001-9123-5988
                Article
                4864
                10.1186/s12864-018-4864-x
                6019838
                29940837
                306d76eb-a8ca-45f1-b25d-16658941f9b7
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 April 2017
                : 12 June 2018
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 31472064
                Award ID: 31601910
                Award Recipient :
                Funded by: the Special Fund for Agro-scientific Research in the Public Interest
                Award ID: 201303059
                Award Recipient :
                Funded by: the earmarked fund for Modern Agro-industry Technology Research System
                Award ID: CARS-40-01
                Award Recipient :
                Funded by: Agricultural Science and Technology Innovation Program of China
                Award ID: ASTIP-IAS01
                Award Recipient :
                Funded by: the Elite Youth Program in Chinese Academy of Agricultural Sciences
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Genetics
                goat skin,lincrna,hair follicle,transcriptome,cashmere growth cycle
                Genetics
                goat skin, lincrna, hair follicle, transcriptome, cashmere growth cycle

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