Computational identification of putative lincRNAs in mouse embryonic stem cell View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Hui Liu, Jie Lyu, Hongbo Liu, Yang Gao, Jing Guo, Hongjuan He, Zhengbin Han, Yan Zhang, Qiong Wu

ABSTRACT

As the regulatory factors, lncRNAs play critical roles in embryonic stem cells. And lincRNAs are most widely studied lncRNAs, however, there might still might exist a large member of uncovered lncRNAs. In this study, we constructed the de novo assembly of transcriptome to detect 6,701 putative long intergenic non-coding transcripts (lincRNAs) expressed in mouse embryonic stem cells (ESCs), which might be incomplete with the lack coverage of 5' ends assessed by CAGE peaks. Comparing the TSS proximal regions between the known lincRNAs and their closet protein coding transcripts, our results revealed that the lincRNA TSS proximal regions are associated with the characteristic genomic and epigenetic features. Subsequently, 1,293 lincRNAs were corrected at their 5' ends using the putative lincRNA TSS regions predicted by the TSS proximal region prediction model based on genomic and epigenetic features. Finally, 43 putative lincRNAs were annotated by Gene Ontology terms. In conclusion, this work provides a novel catalog of mouse ESCs-expressed lincRNAs with the relatively complete transcript length, which might be useful for the investigation of transcriptional and post-transcriptional regulation of lincRNA in mouse ESCs and even mammalian development. More... »

PAGES

34892

References to SciGraph publications

  • 2009-01. RNA-Seq: a revolutionary tool for transcriptomics in NATURE REVIEWS GENETICS
  • 2012-12. Biases in read coverage demonstrated by interlaboratory and interplatform comparison of 117 mRNA and genome sequencing experiments in BMC BIOINFORMATICS
  • 2012-09. Landscape of transcription in human cells in NATURE
  • 2015-10. Creating reference gene annotation for the mouse C57BL6/J genome assembly in MAMMALIAN GENOME
  • 2013-07. Uniform, optimal signal processing of mapped deep-sequencing data in NATURE BIOTECHNOLOGY
  • 2007-09. The mouse ascending: perspectives for human-disease models in NATURE CELL BIOLOGY
  • 2014-11. A comparative encyclopedia of DNA elements in the mouse genome in NATURE
  • 2010-05. Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs in NATURE BIOTECHNOLOGY
  • 2015-03. The landscape of long noncoding RNAs in the human transcriptome in NATURE GENETICS
  • 2014-02. Sequencing depth and coverage: key considerations in genomic analyses in NATURE REVIEWS GENETICS
  • 2015-04. HISAT: a fast spliced aligner with low memory requirements in NATURE METHODS
  • 2012-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 2014-03. A promoter-level mammalian expression atlas in NATURE
  • 2014-12. Identification and characterization of long intergenic non-coding RNAs related to mouse liver development in MOLECULAR GENETICS AND GENOMICS
  • 2012-09. An integrated encyclopedia of DNA elements in the human genome in NATURE
  • 2012-03-01. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks in NATURE PROTOCOLS
  • 2011-09. lincRNAs act in the circuitry controlling pluripotency and differentiation in NATURE
  • 2010-12. The developmental dynamics of the maize leaf transcriptome in NATURE GENETICS
  • 2015-03. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads in NATURE BIOTECHNOLOGY
  • 2016-07. miR-isomiRExp: a web-server for the analysis of expression of miRNA at the miRNA/isomiR levels in SCIENTIFIC REPORTS
  • 2010-07. Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan in NATURE METHODS
  • 2015-04. Identification of 4438 novel lincRNAs involved in mouse pre-implantation embryonic development in MOLECULAR GENETICS AND GENOMICS
  • 2014-06. Biological and bioinformatical approaches to study crosstalk of long-non-coding RNAs and chromatin-modifying proteins in CELL AND TISSUE RESEARCH
  • 2012-12. A mechanistic basis for amplification differences between samples and between genome regions in BMC GENOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep34892

    DOI

    http://dx.doi.org/10.1038/srep34892

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1009099485

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27713513


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromatin", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Epigenesis, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Regulation, Developmental", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Machine Learning", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mouse Embryonic Stem Cells", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA, Long Noncoding", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Transcription Initiation Site", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Hui", 
            "id": "sg:person.01021140626.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021140626.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Baylor College of Medicine", 
              "id": "https://www.grid.ac/institutes/grid.39382.33", 
              "name": [
                "Dan L. Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, 77030, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lyu", 
            "givenName": "Jie", 
            "id": "sg:person.010552444221.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010552444221.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Medical University", 
              "id": "https://www.grid.ac/institutes/grid.410736.7", 
              "name": [
                "College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Hongbo", 
            "id": "sg:person.0753025426.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753025426.94"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gao", 
            "givenName": "Yang", 
            "id": "sg:person.01235756516.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235756516.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guo", 
            "givenName": "Jing", 
            "id": "sg:person.01140440275.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140440275.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "He", 
            "givenName": "Hongjuan", 
            "id": "sg:person.0634554317.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634554317.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Han", 
            "givenName": "Zhengbin", 
            "id": "sg:person.01334631563.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334631563.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Medical University", 
              "id": "https://www.grid.ac/institutes/grid.410736.7", 
              "name": [
                "College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Yan", 
            "id": "sg:person.01251615626.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251615626.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Harbin Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.19373.3f", 
              "name": [
                "School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Qiong", 
            "id": "sg:person.01131113612.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131113612.76"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/nar/gku325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002238968"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11233", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003047559", 
              "https://doi.org/10.1038/nature11233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004840937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005140994", 
              "https://doi.org/10.1038/nmeth.3317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2011/875309", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006345668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1923", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006541515", 
              "https://doi.org/10.1038/nmeth.1923"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkp335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007915246"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.devcel.2012.12.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008652964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-13-s6-s4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008968188", 
              "https://doi.org/10.1186/1471-2105-13-s6-s4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00438-014-0882-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010544024", 
              "https://doi.org/10.1007/s00438-014-0882-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3642", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010746394", 
              "https://doi.org/10.1038/nrg3642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00335-015-9583-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011692857", 
              "https://doi.org/10.1007/s00335-015-9583-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00335-015-9583-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011692857", 
              "https://doi.org/10.1007/s00335-015-9583-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2008.01.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012430287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.156232.113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013427894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.132159.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013862605"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2014/416323", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014812994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7554/elife.02046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015743913"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2011.08.018", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017411851"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10398", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018204822", 
              "https://doi.org/10.1038/nature10398"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.stem.2015.03.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018793531"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.139618.112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020375059"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.stem.2013.03.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021983761"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncb437", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023498683", 
              "https://doi.org/10.1038/ncb437"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024040876", 
              "https://doi.org/10.1186/1471-2164-13-455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1633", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025339324", 
              "https://doi.org/10.1038/nbt.1633"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00441-014-1885-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027912826", 
              "https://doi.org/10.1007/s00441-014-1885-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00441-014-1885-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027912826", 
              "https://doi.org/10.1007/s00441-014-1885-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2007.02.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027946228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.3192", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028060819", 
              "https://doi.org/10.1038/ng.3192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/dev.105858", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028460790"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11247", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029065430", 
              "https://doi.org/10.1038/nature11247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13182", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029370855", 
              "https://doi.org/10.1038/nature13182"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/dmm.000232", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029924862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00438-014-0952-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029950376", 
              "https://doi.org/10.1007/s00438-014-0952-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2012.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030124536", 
              "https://doi.org/10.1038/nprot.2012.016"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030687647", 
              "https://doi.org/10.1038/nrg2484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.181974.114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033420430"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep23700", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034825005", 
              "https://doi.org/10.1038/srep23700"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0071152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035017475"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036657357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13992", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036662703", 
              "https://doi.org/10.1038/nature13992"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13992", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036662703", 
              "https://doi.org/10.1038/nature13992"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bti736", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036795811"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0506580102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037705714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0506580102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037705714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv1157", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037937986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt818", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039201808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.074906.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042580562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043122239", 
              "https://doi.org/10.1038/ng.703"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng.703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043122239", 
              "https://doi.org/10.1038/ng.703"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2013.02.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043978712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045760294", 
              "https://doi.org/10.1038/nbt.3122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0109443", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045775109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047181882", 
              "https://doi.org/10.1038/nmeth.1470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047181882", 
              "https://doi.org/10.1038/nmeth.1470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1242/dev.116996", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047207739"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.078378.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048137976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2596", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048926875", 
              "https://doi.org/10.1038/nbt.2596"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.stem.2014.05.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049735919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bfgp/elv024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059412963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bib/bbv033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059413086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmi.2014.2317520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061696289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tnnls.2014.2342533", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061718648"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2174/13892029113149990005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069178678"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "As the regulatory factors, lncRNAs play critical roles in embryonic stem cells. And lincRNAs are most widely studied lncRNAs, however, there might still might exist a large member of uncovered lncRNAs. In this study, we constructed the de novo assembly of transcriptome to detect 6,701 putative long intergenic non-coding transcripts (lincRNAs) expressed in mouse embryonic stem cells (ESCs), which might be incomplete with the lack coverage of 5' ends assessed by CAGE peaks. Comparing the TSS proximal regions between the known lincRNAs and their closet protein coding transcripts, our results revealed that the lincRNA TSS proximal regions are associated with the characteristic genomic and epigenetic features. Subsequently, 1,293 lincRNAs were corrected at their 5' ends using the putative lincRNA TSS regions predicted by the TSS proximal region prediction model based on genomic and epigenetic features. Finally, 43 putative lincRNAs were annotated by Gene Ontology terms. In conclusion, this work provides a novel catalog of mouse ESCs-expressed lincRNAs with the relatively complete transcript length, which might be useful for the investigation of transcriptional and post-transcriptional regulation of lincRNA in mouse ESCs and even mammalian development.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/srep34892", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "Computational identification of putative lincRNAs in mouse embryonic stem cell", 
        "pagination": "34892", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2b59fcae5ab1a003eeb972b8bcaa0f466e9fa91757e340f6409fed1fee5e0fde"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27713513"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/srep34892"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1009099485"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/srep34892", 
          "https://app.dimensions.ai/details/publication/pub.1009099485"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T13:24", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8659_00000549.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/srep/2016/161007/srep34892/full/srep34892.html"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/srep34892'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep34892'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep34892'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep34892'


     

    This table displays all metadata directly associated to this object as RDF triples.

    371 TRIPLES      21 PREDICATES      98 URIs      31 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/srep34892 schema:about N0df24bf68d7d40c9a7fb73d02bca8a2f
    2 N179c63a555f84a63af6ca1fbad09146d
    3 N305787c21fbc4f9f8d20b80ebb36fb6e
    4 N45f88f9466f34cfa93825f8eefe5c840
    5 N4c430c26553e4204b2d926057ad3f873
    6 N4f89876eda9848bf9004768bbec52248
    7 N586a58d9cd2d4ea08c4a97d0a73d78e7
    8 Nd1fa1661588144939f832bd6d5bbde3b
    9 Ndd78bd58ac354089aa9625da388195da
    10 Nfba5bc92dded44c98a9f56e029dcef64
    11 anzsrc-for:06
    12 anzsrc-for:0604
    13 schema:author Nae4c7f60433842bfa3935aba359938cc
    14 schema:citation sg:pub.10.1007/s00335-015-9583-x
    15 sg:pub.10.1007/s00438-014-0882-9
    16 sg:pub.10.1007/s00438-014-0952-z
    17 sg:pub.10.1007/s00441-014-1885-x
    18 sg:pub.10.1038/nature10398
    19 sg:pub.10.1038/nature11233
    20 sg:pub.10.1038/nature11247
    21 sg:pub.10.1038/nature13182
    22 sg:pub.10.1038/nature13992
    23 sg:pub.10.1038/nbt.1633
    24 sg:pub.10.1038/nbt.2596
    25 sg:pub.10.1038/nbt.3122
    26 sg:pub.10.1038/ncb437
    27 sg:pub.10.1038/ng.3192
    28 sg:pub.10.1038/ng.703
    29 sg:pub.10.1038/nmeth.1470
    30 sg:pub.10.1038/nmeth.1923
    31 sg:pub.10.1038/nmeth.3317
    32 sg:pub.10.1038/nprot.2012.016
    33 sg:pub.10.1038/nrg2484
    34 sg:pub.10.1038/nrg3642
    35 sg:pub.10.1038/srep23700
    36 sg:pub.10.1186/1471-2105-13-s6-s4
    37 sg:pub.10.1186/1471-2164-13-455
    38 https://doi.org/10.1016/j.cell.2007.02.016
    39 https://doi.org/10.1016/j.cell.2008.01.015
    40 https://doi.org/10.1016/j.cell.2013.02.016
    41 https://doi.org/10.1016/j.devcel.2012.12.012
    42 https://doi.org/10.1016/j.molcel.2011.08.018
    43 https://doi.org/10.1016/j.stem.2013.03.003
    44 https://doi.org/10.1016/j.stem.2014.05.014
    45 https://doi.org/10.1016/j.stem.2015.03.007
    46 https://doi.org/10.1073/pnas.0506580102
    47 https://doi.org/10.1093/bfgp/elv024
    48 https://doi.org/10.1093/bib/bbv033
    49 https://doi.org/10.1093/bioinformatics/bti736
    50 https://doi.org/10.1093/nar/gkp335
    51 https://doi.org/10.1093/nar/gkt006
    52 https://doi.org/10.1093/nar/gkt818
    53 https://doi.org/10.1093/nar/gkt997
    54 https://doi.org/10.1093/nar/gku325
    55 https://doi.org/10.1093/nar/gkv1157
    56 https://doi.org/10.1101/gr.074906.107
    57 https://doi.org/10.1101/gr.078378.108
    58 https://doi.org/10.1101/gr.132159.111
    59 https://doi.org/10.1101/gr.139618.112
    60 https://doi.org/10.1101/gr.156232.113
    61 https://doi.org/10.1101/gr.181974.114
    62 https://doi.org/10.1109/tmi.2014.2317520
    63 https://doi.org/10.1109/tnnls.2014.2342533
    64 https://doi.org/10.1155/2011/875309
    65 https://doi.org/10.1155/2014/416323
    66 https://doi.org/10.1242/dev.105858
    67 https://doi.org/10.1242/dev.116996
    68 https://doi.org/10.1242/dmm.000232
    69 https://doi.org/10.1371/journal.pone.0071152
    70 https://doi.org/10.1371/journal.pone.0109443
    71 https://doi.org/10.2174/13892029113149990005
    72 https://doi.org/10.7554/elife.02046
    73 schema:datePublished 2016-12
    74 schema:datePublishedReg 2016-12-01
    75 schema:description As the regulatory factors, lncRNAs play critical roles in embryonic stem cells. And lincRNAs are most widely studied lncRNAs, however, there might still might exist a large member of uncovered lncRNAs. In this study, we constructed the de novo assembly of transcriptome to detect 6,701 putative long intergenic non-coding transcripts (lincRNAs) expressed in mouse embryonic stem cells (ESCs), which might be incomplete with the lack coverage of 5' ends assessed by CAGE peaks. Comparing the TSS proximal regions between the known lincRNAs and their closet protein coding transcripts, our results revealed that the lincRNA TSS proximal regions are associated with the characteristic genomic and epigenetic features. Subsequently, 1,293 lincRNAs were corrected at their 5' ends using the putative lincRNA TSS regions predicted by the TSS proximal region prediction model based on genomic and epigenetic features. Finally, 43 putative lincRNAs were annotated by Gene Ontology terms. In conclusion, this work provides a novel catalog of mouse ESCs-expressed lincRNAs with the relatively complete transcript length, which might be useful for the investigation of transcriptional and post-transcriptional regulation of lincRNA in mouse ESCs and even mammalian development.
    76 schema:genre research_article
    77 schema:inLanguage en
    78 schema:isAccessibleForFree true
    79 schema:isPartOf N4c5c9067b4e541eab488654716ba6a45
    80 Nf0650d59ba24426b95b7562d712a4261
    81 sg:journal.1045337
    82 schema:name Computational identification of putative lincRNAs in mouse embryonic stem cell
    83 schema:pagination 34892
    84 schema:productId N5f4d5c5d52df447b9337674896bf3f18
    85 N6c09687c0d0a4165a846679f7619c36e
    86 Na106f51454364804976dbc602d90ffcb
    87 Nf25803785e3a49878563a27a49e4df1b
    88 Nf70e24ffb41a4fdb9754ded44d38ddfc
    89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009099485
    90 https://doi.org/10.1038/srep34892
    91 schema:sdDatePublished 2019-04-10T13:24
    92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    93 schema:sdPublisher N3aa3789480a04a15930121e2393ad9cc
    94 schema:url http://www.nature.com/srep/2016/161007/srep34892/full/srep34892.html
    95 sgo:license sg:explorer/license/
    96 sgo:sdDataset articles
    97 rdf:type schema:ScholarlyArticle
    98 N0df24bf68d7d40c9a7fb73d02bca8a2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Machine Learning
    100 rdf:type schema:DefinedTerm
    101 N179c63a555f84a63af6ca1fbad09146d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    102 schema:name Chromatin
    103 rdf:type schema:DefinedTerm
    104 N20976d0f2acf4fe8b91591a66ee8e1fe rdf:first sg:person.010552444221.76
    105 rdf:rest N984d0385aa574297a855f11643083577
    106 N2678ffb2696842d2ae73c4537c3ae74c rdf:first sg:person.0634554317.27
    107 rdf:rest N91f4cc648eaa4b7cba6bcef01f07a4fc
    108 N305787c21fbc4f9f8d20b80ebb36fb6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Transcription Initiation Site
    110 rdf:type schema:DefinedTerm
    111 N3aa3789480a04a15930121e2393ad9cc schema:name Springer Nature - SN SciGraph project
    112 rdf:type schema:Organization
    113 N45f88f9466f34cfa93825f8eefe5c840 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Epigenesis, Genetic
    115 rdf:type schema:DefinedTerm
    116 N4c430c26553e4204b2d926057ad3f873 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Mouse Embryonic Stem Cells
    118 rdf:type schema:DefinedTerm
    119 N4c5c9067b4e541eab488654716ba6a45 schema:volumeNumber 6
    120 rdf:type schema:PublicationVolume
    121 N4f89876eda9848bf9004768bbec52248 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    122 schema:name Animals
    123 rdf:type schema:DefinedTerm
    124 N586a58d9cd2d4ea08c4a97d0a73d78e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Gene Expression Regulation, Developmental
    126 rdf:type schema:DefinedTerm
    127 N5f4d5c5d52df447b9337674896bf3f18 schema:name nlm_unique_id
    128 schema:value 101563288
    129 rdf:type schema:PropertyValue
    130 N6c09687c0d0a4165a846679f7619c36e schema:name pubmed_id
    131 schema:value 27713513
    132 rdf:type schema:PropertyValue
    133 N72e7c756e6b44845984cd96a0702efa4 rdf:first sg:person.01131113612.76
    134 rdf:rest rdf:nil
    135 N91f4cc648eaa4b7cba6bcef01f07a4fc rdf:first sg:person.01334631563.02
    136 rdf:rest N9cd01dcea3b04654a1cefbfde3719d28
    137 N984d0385aa574297a855f11643083577 rdf:first sg:person.0753025426.94
    138 rdf:rest Nb012b441099b47ee8ffa8d0d62306782
    139 N9cd01dcea3b04654a1cefbfde3719d28 rdf:first sg:person.01251615626.81
    140 rdf:rest N72e7c756e6b44845984cd96a0702efa4
    141 Na106f51454364804976dbc602d90ffcb schema:name doi
    142 schema:value 10.1038/srep34892
    143 rdf:type schema:PropertyValue
    144 Na302720bbb564f4d8f118aa1c6c76039 rdf:first sg:person.01140440275.43
    145 rdf:rest N2678ffb2696842d2ae73c4537c3ae74c
    146 Nae4c7f60433842bfa3935aba359938cc rdf:first sg:person.01021140626.25
    147 rdf:rest N20976d0f2acf4fe8b91591a66ee8e1fe
    148 Nb012b441099b47ee8ffa8d0d62306782 rdf:first sg:person.01235756516.88
    149 rdf:rest Na302720bbb564f4d8f118aa1c6c76039
    150 Nd1fa1661588144939f832bd6d5bbde3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Mice
    152 rdf:type schema:DefinedTerm
    153 Ndd78bd58ac354089aa9625da388195da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name RNA, Long Noncoding
    155 rdf:type schema:DefinedTerm
    156 Nf0650d59ba24426b95b7562d712a4261 schema:issueNumber 1
    157 rdf:type schema:PublicationIssue
    158 Nf25803785e3a49878563a27a49e4df1b schema:name readcube_id
    159 schema:value 2b59fcae5ab1a003eeb972b8bcaa0f466e9fa91757e340f6409fed1fee5e0fde
    160 rdf:type schema:PropertyValue
    161 Nf70e24ffb41a4fdb9754ded44d38ddfc schema:name dimensions_id
    162 schema:value pub.1009099485
    163 rdf:type schema:PropertyValue
    164 Nfba5bc92dded44c98a9f56e029dcef64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Models, Genetic
    166 rdf:type schema:DefinedTerm
    167 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    168 schema:name Biological Sciences
    169 rdf:type schema:DefinedTerm
    170 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    171 schema:name Genetics
    172 rdf:type schema:DefinedTerm
    173 sg:journal.1045337 schema:issn 2045-2322
    174 schema:name Scientific Reports
    175 rdf:type schema:Periodical
    176 sg:person.01021140626.25 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    177 schema:familyName Liu
    178 schema:givenName Hui
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021140626.25
    180 rdf:type schema:Person
    181 sg:person.010552444221.76 schema:affiliation https://www.grid.ac/institutes/grid.39382.33
    182 schema:familyName Lyu
    183 schema:givenName Jie
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010552444221.76
    185 rdf:type schema:Person
    186 sg:person.01131113612.76 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    187 schema:familyName Wu
    188 schema:givenName Qiong
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131113612.76
    190 rdf:type schema:Person
    191 sg:person.01140440275.43 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    192 schema:familyName Guo
    193 schema:givenName Jing
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140440275.43
    195 rdf:type schema:Person
    196 sg:person.01235756516.88 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    197 schema:familyName Gao
    198 schema:givenName Yang
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235756516.88
    200 rdf:type schema:Person
    201 sg:person.01251615626.81 schema:affiliation https://www.grid.ac/institutes/grid.410736.7
    202 schema:familyName Zhang
    203 schema:givenName Yan
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251615626.81
    205 rdf:type schema:Person
    206 sg:person.01334631563.02 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    207 schema:familyName Han
    208 schema:givenName Zhengbin
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334631563.02
    210 rdf:type schema:Person
    211 sg:person.0634554317.27 schema:affiliation https://www.grid.ac/institutes/grid.19373.3f
    212 schema:familyName He
    213 schema:givenName Hongjuan
    214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634554317.27
    215 rdf:type schema:Person
    216 sg:person.0753025426.94 schema:affiliation https://www.grid.ac/institutes/grid.410736.7
    217 schema:familyName Liu
    218 schema:givenName Hongbo
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753025426.94
    220 rdf:type schema:Person
    221 sg:pub.10.1007/s00335-015-9583-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011692857
    222 https://doi.org/10.1007/s00335-015-9583-x
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1007/s00438-014-0882-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010544024
    225 https://doi.org/10.1007/s00438-014-0882-9
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1007/s00438-014-0952-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1029950376
    228 https://doi.org/10.1007/s00438-014-0952-z
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1007/s00441-014-1885-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027912826
    231 https://doi.org/10.1007/s00441-014-1885-x
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1038/nature10398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018204822
    234 https://doi.org/10.1038/nature10398
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/nature11233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003047559
    237 https://doi.org/10.1038/nature11233
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nature11247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029065430
    240 https://doi.org/10.1038/nature11247
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nature13182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029370855
    243 https://doi.org/10.1038/nature13182
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/nature13992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036662703
    246 https://doi.org/10.1038/nature13992
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/nbt.1633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025339324
    249 https://doi.org/10.1038/nbt.1633
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1038/nbt.2596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048926875
    252 https://doi.org/10.1038/nbt.2596
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1038/nbt.3122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045760294
    255 https://doi.org/10.1038/nbt.3122
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1038/ncb437 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023498683
    258 https://doi.org/10.1038/ncb437
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1038/ng.3192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028060819
    261 https://doi.org/10.1038/ng.3192
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1038/ng.703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043122239
    264 https://doi.org/10.1038/ng.703
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1038/nmeth.1470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047181882
    267 https://doi.org/10.1038/nmeth.1470
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1038/nmeth.1923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006541515
    270 https://doi.org/10.1038/nmeth.1923
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1038/nmeth.3317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005140994
    273 https://doi.org/10.1038/nmeth.3317
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1038/nprot.2012.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030124536
    276 https://doi.org/10.1038/nprot.2012.016
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1038/nrg2484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030687647
    279 https://doi.org/10.1038/nrg2484
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1038/nrg3642 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010746394
    282 https://doi.org/10.1038/nrg3642
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1038/srep23700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034825005
    285 https://doi.org/10.1038/srep23700
    286 rdf:type schema:CreativeWork
    287 sg:pub.10.1186/1471-2105-13-s6-s4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008968188
    288 https://doi.org/10.1186/1471-2105-13-s6-s4
    289 rdf:type schema:CreativeWork
    290 sg:pub.10.1186/1471-2164-13-455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024040876
    291 https://doi.org/10.1186/1471-2164-13-455
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1016/j.cell.2007.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027946228
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1016/j.cell.2008.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012430287
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1016/j.cell.2013.02.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043978712
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1016/j.devcel.2012.12.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008652964
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1016/j.molcel.2011.08.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017411851
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1016/j.stem.2013.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021983761
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1016/j.stem.2014.05.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049735919
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1016/j.stem.2015.03.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018793531
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1073/pnas.0506580102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037705714
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1093/bfgp/elv024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059412963
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1093/bib/bbv033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059413086
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1093/bioinformatics/bti736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036795811
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1093/nar/gkp335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007915246
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1093/nar/gkt006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004840937
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1093/nar/gkt818 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039201808
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1093/nar/gkt997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036657357
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1093/nar/gku325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002238968
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1093/nar/gkv1157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037937986
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1101/gr.074906.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042580562
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1101/gr.078378.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048137976
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1101/gr.132159.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013862605
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1101/gr.139618.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020375059
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1101/gr.156232.113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013427894
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1101/gr.181974.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033420430
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1109/tmi.2014.2317520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061696289
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1109/tnnls.2014.2342533 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061718648
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1155/2011/875309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006345668
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1155/2014/416323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014812994
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1242/dev.105858 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028460790
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1242/dev.116996 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047207739
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1242/dmm.000232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029924862
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1371/journal.pone.0071152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035017475
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1371/journal.pone.0109443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045775109
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.2174/13892029113149990005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069178678
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.7554/elife.02046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015743913
    362 rdf:type schema:CreativeWork
    363 https://www.grid.ac/institutes/grid.19373.3f schema:alternateName Harbin Institute of Technology
    364 schema:name School of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China.
    365 rdf:type schema:Organization
    366 https://www.grid.ac/institutes/grid.39382.33 schema:alternateName Baylor College of Medicine
    367 schema:name Dan L. Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, 77030, USA.
    368 rdf:type schema:Organization
    369 https://www.grid.ac/institutes/grid.410736.7 schema:alternateName Harbin Medical University
    370 schema:name College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
    371 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...