Dynamic regulation of mRNA decay during neural development View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Dana A Burow, Maxine C Umeh-Garcia, Marie B True, Crystal D Bakhaj, David H Ardell, Michael D Cleary

ABSTRACT

BACKGROUND: Gene expression patterns are determined by rates of mRNA transcription and decay. While transcription is known to regulate many developmental processes, the role of mRNA decay is less extensively defined. A critical step toward defining the role of mRNA decay in neural development is to measure genome-wide mRNA decay rates in neural tissue. Such information should reveal the degree to which mRNA decay contributes to differential gene expression and provide a foundation for identifying regulatory mechanisms that affect neural mRNA decay. RESULTS: We developed a technique that allows genome-wide mRNA decay measurements in intact Drosophila embryos, across all tissues and specifically in the nervous system. Our approach revealed neural-specific decay kinetics, including stabilization of transcripts encoding regulators of axonogenesis and destabilization of transcripts encoding ribosomal proteins and histones. We also identified correlations between mRNA stability and physiologic properties of mRNAs; mRNAs that are predicted to be translated within axon growth cones or dendrites have long half-lives while mRNAs encoding transcription factors that regulate neurogenesis have short half-lives. A search for candidate cis-regulatory elements identified enrichment of the Pumilio recognition element (PRE) in mRNAs encoding regulators of neurogenesis. We found that decreased expression of the RNA-binding protein Pumilio stabilized predicted neural mRNA targets and that a PRE is necessary to trigger reporter-transcript decay in the nervous system. CONCLUSIONS: We found that differential mRNA decay contributes to the relative abundance of transcripts involved in cell-fate decisions, axonogenesis, and other critical events during Drosophila neural development. Neural-specific decay kinetics and the functional specificity of mRNA decay suggest the existence of a dynamic neurodevelopmental mRNA decay network. We found that Pumilio is one component of this network, revealing a novel function for this RNA-binding protein. More... »

PAGES

11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13064-015-0038-6

DOI

http://dx.doi.org/10.1186/s13064-015-0038-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032027228

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25896902


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": "3' Untranslated Regions", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dactinomycin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dendrites", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drosophila Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drosophila melanogaster", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Embryo, Nonmammalian", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Developmental", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Ontology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Growth Cones", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Half-Life", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nervous System", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neurogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA Stability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Messenger", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA-Binding Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regulatory Sequences, Ribonucleic Acid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Thiouridine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcription, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Zygote", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Burow", 
        "givenName": "Dana A", 
        "id": "sg:person.01370230055.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370230055.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Umeh-Garcia", 
        "givenName": "Maxine C", 
        "id": "sg:person.0577014015.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577014015.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "True", 
        "givenName": "Marie B", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bakhaj", 
        "givenName": "Crystal D", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ardell", 
        "givenName": "David H", 
        "id": "sg:person.01343053435.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343053435.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Merced", 
          "id": "https://www.grid.ac/institutes/grid.266096.d", 
          "name": [
            "Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cleary", 
        "givenName": "Michael D", 
        "id": "sg:person.01311632412.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311632412.24"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrg3160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000330285", 
          "https://doi.org/10.1038/nrg3160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(00)80349-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000410659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature11013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000795148", 
          "https://doi.org/10.1038/nature11013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.091062498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001631710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ydbio.2013.01.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002138681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dev.006379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003322314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-12-396968-2.00003-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003821210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.033209.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005312451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007228988", 
          "https://doi.org/10.1038/nn1893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007228988", 
          "https://doi.org/10.1038/nn1893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1329", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009195761", 
          "https://doi.org/10.1038/nmeth.1329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.092538799", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009364821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1749-8104-2-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010416546", 
          "https://doi.org/10.1186/1749-8104-2-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1779-05.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012926406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mcn.2007.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012956999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1382206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017600046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jnr.10175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019994131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg3254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021263296", 
          "https://doi.org/10.1038/nrg3254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1800-10.2010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021341350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0407523102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021959776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1002515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022027210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023196604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023196604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/msb.2010.112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023196604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mcn.2011.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024934110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2014.01.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025535306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2014.01.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025535306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027533531", 
          "https://doi.org/10.1038/nmeth.1592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dev.014977", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030262201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.4944-13.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032317792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2668-12.2012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033441132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0509260103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033863325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/dev.043604", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035627263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1242/jcs.120139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035964896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2012.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038030306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1000026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038691468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(98)00016-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039132855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(95)90280-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039553674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2008.211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039987283", 
          "https://doi.org/10.1038/nprot.2008.211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.130559.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040139837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042357646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.81.22.7046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042405872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.04.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043134357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.134312.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043823306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1091/mbc.e11-01-0028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044183604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.01506-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045173645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2010-11-9-r93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045219624", 
          "https://doi.org/10.1186/gb-2010-11-9-r93"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(03)00064-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046104587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrn2118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046668047", 
          "https://doi.org/10.1038/nrn2118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.046029.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047241584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2004.10.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047520696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047610281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tig.2011.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048836631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2202-7-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050407181", 
          "https://doi.org/10.1186/1471-2202-7-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/dbio.2002.0768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050854993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2005.12.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051565788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.5553-07.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051630572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052598031", 
          "https://doi.org/10.1038/nn1346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052598031", 
          "https://doi.org/10.1038/nn1346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074582943", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075022789", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077117561", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "BACKGROUND: Gene expression patterns are determined by rates of mRNA transcription and decay. While transcription is known to regulate many developmental processes, the role of mRNA decay is less extensively defined. A critical step toward defining the role of mRNA decay in neural development is to measure genome-wide mRNA decay rates in neural tissue. Such information should reveal the degree to which mRNA decay contributes to differential gene expression and provide a foundation for identifying regulatory mechanisms that affect neural mRNA decay.\nRESULTS: We developed a technique that allows genome-wide mRNA decay measurements in intact Drosophila embryos, across all tissues and specifically in the nervous system. Our approach revealed neural-specific decay kinetics, including stabilization of transcripts encoding regulators of axonogenesis and destabilization of transcripts encoding ribosomal proteins and histones. We also identified correlations between mRNA stability and physiologic properties of mRNAs; mRNAs that are predicted to be translated within axon growth cones or dendrites have long half-lives while mRNAs encoding transcription factors that regulate neurogenesis have short half-lives. A search for candidate cis-regulatory elements identified enrichment of the Pumilio recognition element (PRE) in mRNAs encoding regulators of neurogenesis. We found that decreased expression of the RNA-binding protein Pumilio stabilized predicted neural mRNA targets and that a PRE is necessary to trigger reporter-transcript decay in the nervous system.\nCONCLUSIONS: We found that differential mRNA decay contributes to the relative abundance of transcripts involved in cell-fate decisions, axonogenesis, and other critical events during Drosophila neural development. Neural-specific decay kinetics and the functional specificity of mRNA decay suggest the existence of a dynamic neurodevelopmental mRNA decay network. We found that Pumilio is one component of this network, revealing a novel function for this RNA-binding protein.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13064-015-0038-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2520074", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6849328", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2439537", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2528687", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3805060", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2617875", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1037699", 
        "issn": [
          "1749-8104"
        ], 
        "name": "Neural Development", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Dynamic regulation of mRNA decay during neural development", 
    "pagination": "11", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9892aad06129549d6e4511f2c2e644ddc1afea55194a75d8fde905f70f84fff3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25896902"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101286574"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13064-015-0038-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032027228"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13064-015-0038-6", 
      "https://app.dimensions.ai/details/publication/pub.1032027228"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:11", 
    "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/v90/0000000367_0000000367/records_88255_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs13064-015-0038-6"
  }
]
 

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.10.1186/s13064-015-0038-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13064-015-0038-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13064-015-0038-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13064-015-0038-6'


 

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

373 TRIPLES      21 PREDICATES      106 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13064-015-0038-6 schema:about N18a6a0c945c44a8e81982d0360b5fb1f
2 N19653dd73f8045b3b40723307c9a39c4
3 N22d589023f8d440bb2e14b111842b1f6
4 N311926242eda4adcbd55582f36f01e4a
5 N4ea38c93a27345e487af0c19b145373c
6 N7396d2df4d92409c8a58cef6f3e22a50
7 N7b40fefdf46c4219a90ce44cffec9028
8 N7b86e33dffc840fcb55b0c4a2644e178
9 N9196254bffdf4caf95dbd91bcc9c72af
10 N9c81a9145ec84188b3b31890175f8430
11 Naf1f6842c0174dc8a1d05b49a87070e3
12 Nbf66cc699f984f08b695eefcf6d8c9ff
13 Nc368da032d394dd4900962f55bf14485
14 Nccc8b84a1b3141828c91a5a8dad0e403
15 Nd441e31be5a947c1a8ebbfb7400547f3
16 Ndc176f92159c44018d3647b34be3c785
17 Nded7efe3a4134d87aa9bee8b9ab4b001
18 Neb695bbafe5f4d3c8abc1a9ce9a137f2
19 Nf909f1a6567b44d3bc7e4335ee8050f4
20 Nfbd3de8999034d83af7534713d38b532
21 anzsrc-for:06
22 anzsrc-for:0604
23 schema:author Nd2ca50638ff74b21a9d0de0b5a66dc81
24 schema:citation sg:pub.10.1038/nature11013
25 sg:pub.10.1038/nmeth.1329
26 sg:pub.10.1038/nmeth.1592
27 sg:pub.10.1038/nn1346
28 sg:pub.10.1038/nn1893
29 sg:pub.10.1038/nprot.2008.211
30 sg:pub.10.1038/nrg3160
31 sg:pub.10.1038/nrg3254
32 sg:pub.10.1038/nrn2118
33 sg:pub.10.1186/1471-2202-7-17
34 sg:pub.10.1186/1749-8104-2-7
35 sg:pub.10.1186/gb-2010-11-9-r93
36 https://app.dimensions.ai/details/publication/pub.1074582943
37 https://app.dimensions.ai/details/publication/pub.1075022789
38 https://app.dimensions.ai/details/publication/pub.1077117561
39 https://doi.org/10.1002/jnr.10175
40 https://doi.org/10.1006/dbio.2002.0768
41 https://doi.org/10.1016/0092-8674(95)90280-5
42 https://doi.org/10.1016/b978-0-12-396968-2.00003-8
43 https://doi.org/10.1016/j.cell.2005.12.017
44 https://doi.org/10.1016/j.cell.2013.04.056
45 https://doi.org/10.1016/j.celrep.2014.01.028
46 https://doi.org/10.1016/j.devcel.2012.09.007
47 https://doi.org/10.1016/j.mcn.2007.11.007
48 https://doi.org/10.1016/j.mcn.2011.07.009
49 https://doi.org/10.1016/j.neuron.2004.10.028
50 https://doi.org/10.1016/j.tig.2011.10.005
51 https://doi.org/10.1016/j.ydbio.2013.01.025
52 https://doi.org/10.1016/s0896-6273(00)80349-9
53 https://doi.org/10.1016/s0960-9822(03)00064-2
54 https://doi.org/10.1016/s0960-9822(98)00016-5
55 https://doi.org/10.1038/msb.2010.112
56 https://doi.org/10.1073/pnas.0407523102
57 https://doi.org/10.1073/pnas.0509260103
58 https://doi.org/10.1073/pnas.091062498
59 https://doi.org/10.1073/pnas.092538799
60 https://doi.org/10.1073/pnas.81.22.7046
61 https://doi.org/10.1091/mbc.e11-01-0028
62 https://doi.org/10.1093/nar/gkn923
63 https://doi.org/10.1093/nar/gkp542
64 https://doi.org/10.1101/gad.1382206
65 https://doi.org/10.1101/gr.130559.111
66 https://doi.org/10.1101/gr.134312.111
67 https://doi.org/10.1128/mcb.01506-08
68 https://doi.org/10.1242/dev.006379
69 https://doi.org/10.1242/dev.014977
70 https://doi.org/10.1242/dev.043604
71 https://doi.org/10.1242/jcs.120139
72 https://doi.org/10.1261/rna.033209.112
73 https://doi.org/10.1261/rna.046029.114
74 https://doi.org/10.1371/journal.pcbi.1000026
75 https://doi.org/10.1371/journal.pgen.1002515
76 https://doi.org/10.1523/jneurosci.1779-05.2005
77 https://doi.org/10.1523/jneurosci.1800-10.2010
78 https://doi.org/10.1523/jneurosci.2668-12.2012
79 https://doi.org/10.1523/jneurosci.4944-13.2014
80 https://doi.org/10.1523/jneurosci.5553-07.2008
81 schema:datePublished 2015-12
82 schema:datePublishedReg 2015-12-01
83 schema:description BACKGROUND: Gene expression patterns are determined by rates of mRNA transcription and decay. While transcription is known to regulate many developmental processes, the role of mRNA decay is less extensively defined. A critical step toward defining the role of mRNA decay in neural development is to measure genome-wide mRNA decay rates in neural tissue. Such information should reveal the degree to which mRNA decay contributes to differential gene expression and provide a foundation for identifying regulatory mechanisms that affect neural mRNA decay. RESULTS: We developed a technique that allows genome-wide mRNA decay measurements in intact Drosophila embryos, across all tissues and specifically in the nervous system. Our approach revealed neural-specific decay kinetics, including stabilization of transcripts encoding regulators of axonogenesis and destabilization of transcripts encoding ribosomal proteins and histones. We also identified correlations between mRNA stability and physiologic properties of mRNAs; mRNAs that are predicted to be translated within axon growth cones or dendrites have long half-lives while mRNAs encoding transcription factors that regulate neurogenesis have short half-lives. A search for candidate cis-regulatory elements identified enrichment of the Pumilio recognition element (PRE) in mRNAs encoding regulators of neurogenesis. We found that decreased expression of the RNA-binding protein Pumilio stabilized predicted neural mRNA targets and that a PRE is necessary to trigger reporter-transcript decay in the nervous system. CONCLUSIONS: We found that differential mRNA decay contributes to the relative abundance of transcripts involved in cell-fate decisions, axonogenesis, and other critical events during Drosophila neural development. Neural-specific decay kinetics and the functional specificity of mRNA decay suggest the existence of a dynamic neurodevelopmental mRNA decay network. We found that Pumilio is one component of this network, revealing a novel function for this RNA-binding protein.
84 schema:genre research_article
85 schema:inLanguage en
86 schema:isAccessibleForFree true
87 schema:isPartOf N49b9f422bdfb4df3838ef498fe063521
88 N59f3f5fdbaa045d3bbfa32514d442d78
89 sg:journal.1037699
90 schema:name Dynamic regulation of mRNA decay during neural development
91 schema:pagination 11
92 schema:productId N22a094115c5f45ec9efe90af3d2f6fbb
93 N5fa23d7aeacd447b9514005be3f92216
94 Na44d2f55bc364199b5305f3b7e090504
95 Na62a03cd4a3a452497f5483042ba2a92
96 Nb0f463c181d34a82bbb8c8138aa67eab
97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032027228
98 https://doi.org/10.1186/s13064-015-0038-6
99 schema:sdDatePublished 2019-04-11T13:11
100 schema:sdLicense https://scigraph.springernature.com/explorer/license/
101 schema:sdPublisher N316911de80c941e4931528806efb7c12
102 schema:url http://link.springer.com/10.1186%2Fs13064-015-0038-6
103 sgo:license sg:explorer/license/
104 sgo:sdDataset articles
105 rdf:type schema:ScholarlyArticle
106 N18a6a0c945c44a8e81982d0360b5fb1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name RNA, Messenger
108 rdf:type schema:DefinedTerm
109 N19653dd73f8045b3b40723307c9a39c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Growth Cones
111 rdf:type schema:DefinedTerm
112 N22a094115c5f45ec9efe90af3d2f6fbb schema:name readcube_id
113 schema:value 9892aad06129549d6e4511f2c2e644ddc1afea55194a75d8fde905f70f84fff3
114 rdf:type schema:PropertyValue
115 N22d589023f8d440bb2e14b111842b1f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name RNA-Binding Proteins
117 rdf:type schema:DefinedTerm
118 N311926242eda4adcbd55582f36f01e4a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Thiouridine
120 rdf:type schema:DefinedTerm
121 N316911de80c941e4931528806efb7c12 schema:name Springer Nature - SN SciGraph project
122 rdf:type schema:Organization
123 N470338b0c6634c549ee1d56abd64efc1 rdf:first sg:person.01343053435.17
124 rdf:rest N59940ebb7cb8498190412b3d2b9c17f1
125 N49b9f422bdfb4df3838ef498fe063521 schema:volumeNumber 10
126 rdf:type schema:PublicationVolume
127 N4ea38c93a27345e487af0c19b145373c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Transcription, Genetic
129 rdf:type schema:DefinedTerm
130 N59940ebb7cb8498190412b3d2b9c17f1 rdf:first sg:person.01311632412.24
131 rdf:rest rdf:nil
132 N59f3f5fdbaa045d3bbfa32514d442d78 schema:issueNumber 1
133 rdf:type schema:PublicationIssue
134 N5fa23d7aeacd447b9514005be3f92216 schema:name pubmed_id
135 schema:value 25896902
136 rdf:type schema:PropertyValue
137 N66dc979c5cf54fc4884884de80bae422 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
138 schema:familyName True
139 schema:givenName Marie B
140 rdf:type schema:Person
141 N7396d2df4d92409c8a58cef6f3e22a50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Neurogenesis
143 rdf:type schema:DefinedTerm
144 N7b40fefdf46c4219a90ce44cffec9028 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Zygote
146 rdf:type schema:DefinedTerm
147 N7b86e33dffc840fcb55b0c4a2644e178 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name RNA Stability
149 rdf:type schema:DefinedTerm
150 N7e54efaf779043caa571b30cb6c92625 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
151 schema:familyName Bakhaj
152 schema:givenName Crystal D
153 rdf:type schema:Person
154 N8b1e27a4e7364ae8a4bd0545380f7948 rdf:first N66dc979c5cf54fc4884884de80bae422
155 rdf:rest Nf8b34dac832f4ecba8bc629bbdaa169a
156 N9196254bffdf4caf95dbd91bcc9c72af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Gene Expression Regulation, Developmental
158 rdf:type schema:DefinedTerm
159 N9c81a9145ec84188b3b31890175f8430 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Nervous System
161 rdf:type schema:DefinedTerm
162 Na44d2f55bc364199b5305f3b7e090504 schema:name nlm_unique_id
163 schema:value 101286574
164 rdf:type schema:PropertyValue
165 Na62a03cd4a3a452497f5483042ba2a92 schema:name dimensions_id
166 schema:value pub.1032027228
167 rdf:type schema:PropertyValue
168 Naf1f6842c0174dc8a1d05b49a87070e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Half-Life
170 rdf:type schema:DefinedTerm
171 Nb0f463c181d34a82bbb8c8138aa67eab schema:name doi
172 schema:value 10.1186/s13064-015-0038-6
173 rdf:type schema:PropertyValue
174 Nbf66cc699f984f08b695eefcf6d8c9ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Drosophila Proteins
176 rdf:type schema:DefinedTerm
177 Nc368da032d394dd4900962f55bf14485 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name 3' Untranslated Regions
179 rdf:type schema:DefinedTerm
180 Nccc8b84a1b3141828c91a5a8dad0e403 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Embryo, Nonmammalian
182 rdf:type schema:DefinedTerm
183 Nd2ca50638ff74b21a9d0de0b5a66dc81 rdf:first sg:person.01370230055.17
184 rdf:rest Nf0bc545a08ba4b14909fbb438cbadf8e
185 Nd441e31be5a947c1a8ebbfb7400547f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Animals
187 rdf:type schema:DefinedTerm
188 Ndc176f92159c44018d3647b34be3c785 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Regulatory Sequences, Ribonucleic Acid
190 rdf:type schema:DefinedTerm
191 Nded7efe3a4134d87aa9bee8b9ab4b001 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Drosophila melanogaster
193 rdf:type schema:DefinedTerm
194 Neb695bbafe5f4d3c8abc1a9ce9a137f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Dendrites
196 rdf:type schema:DefinedTerm
197 Nf0bc545a08ba4b14909fbb438cbadf8e rdf:first sg:person.0577014015.36
198 rdf:rest N8b1e27a4e7364ae8a4bd0545380f7948
199 Nf8b34dac832f4ecba8bc629bbdaa169a rdf:first N7e54efaf779043caa571b30cb6c92625
200 rdf:rest N470338b0c6634c549ee1d56abd64efc1
201 Nf909f1a6567b44d3bc7e4335ee8050f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
202 schema:name Gene Ontology
203 rdf:type schema:DefinedTerm
204 Nfbd3de8999034d83af7534713d38b532 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Dactinomycin
206 rdf:type schema:DefinedTerm
207 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
208 schema:name Biological Sciences
209 rdf:type schema:DefinedTerm
210 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
211 schema:name Genetics
212 rdf:type schema:DefinedTerm
213 sg:grant.2439537 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
214 rdf:type schema:MonetaryGrant
215 sg:grant.2520074 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
216 rdf:type schema:MonetaryGrant
217 sg:grant.2528687 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
218 rdf:type schema:MonetaryGrant
219 sg:grant.2617875 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
220 rdf:type schema:MonetaryGrant
221 sg:grant.3805060 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
222 rdf:type schema:MonetaryGrant
223 sg:grant.6849328 http://pending.schema.org/fundedItem sg:pub.10.1186/s13064-015-0038-6
224 rdf:type schema:MonetaryGrant
225 sg:journal.1037699 schema:issn 1749-8104
226 schema:name Neural Development
227 rdf:type schema:Periodical
228 sg:person.01311632412.24 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
229 schema:familyName Cleary
230 schema:givenName Michael D
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311632412.24
232 rdf:type schema:Person
233 sg:person.01343053435.17 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
234 schema:familyName Ardell
235 schema:givenName David H
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343053435.17
237 rdf:type schema:Person
238 sg:person.01370230055.17 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
239 schema:familyName Burow
240 schema:givenName Dana A
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370230055.17
242 rdf:type schema:Person
243 sg:person.0577014015.36 schema:affiliation https://www.grid.ac/institutes/grid.266096.d
244 schema:familyName Umeh-Garcia
245 schema:givenName Maxine C
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577014015.36
247 rdf:type schema:Person
248 sg:pub.10.1038/nature11013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000795148
249 https://doi.org/10.1038/nature11013
250 rdf:type schema:CreativeWork
251 sg:pub.10.1038/nmeth.1329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009195761
252 https://doi.org/10.1038/nmeth.1329
253 rdf:type schema:CreativeWork
254 sg:pub.10.1038/nmeth.1592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027533531
255 https://doi.org/10.1038/nmeth.1592
256 rdf:type schema:CreativeWork
257 sg:pub.10.1038/nn1346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052598031
258 https://doi.org/10.1038/nn1346
259 rdf:type schema:CreativeWork
260 sg:pub.10.1038/nn1893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007228988
261 https://doi.org/10.1038/nn1893
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/nprot.2008.211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039987283
264 https://doi.org/10.1038/nprot.2008.211
265 rdf:type schema:CreativeWork
266 sg:pub.10.1038/nrg3160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000330285
267 https://doi.org/10.1038/nrg3160
268 rdf:type schema:CreativeWork
269 sg:pub.10.1038/nrg3254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021263296
270 https://doi.org/10.1038/nrg3254
271 rdf:type schema:CreativeWork
272 sg:pub.10.1038/nrn2118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046668047
273 https://doi.org/10.1038/nrn2118
274 rdf:type schema:CreativeWork
275 sg:pub.10.1186/1471-2202-7-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050407181
276 https://doi.org/10.1186/1471-2202-7-17
277 rdf:type schema:CreativeWork
278 sg:pub.10.1186/1749-8104-2-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010416546
279 https://doi.org/10.1186/1749-8104-2-7
280 rdf:type schema:CreativeWork
281 sg:pub.10.1186/gb-2010-11-9-r93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045219624
282 https://doi.org/10.1186/gb-2010-11-9-r93
283 rdf:type schema:CreativeWork
284 https://app.dimensions.ai/details/publication/pub.1074582943 schema:CreativeWork
285 https://app.dimensions.ai/details/publication/pub.1075022789 schema:CreativeWork
286 https://app.dimensions.ai/details/publication/pub.1077117561 schema:CreativeWork
287 https://doi.org/10.1002/jnr.10175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019994131
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1006/dbio.2002.0768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050854993
290 rdf:type schema:CreativeWork
291 https://doi.org/10.1016/0092-8674(95)90280-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039553674
292 rdf:type schema:CreativeWork
293 https://doi.org/10.1016/b978-0-12-396968-2.00003-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003821210
294 rdf:type schema:CreativeWork
295 https://doi.org/10.1016/j.cell.2005.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051565788
296 rdf:type schema:CreativeWork
297 https://doi.org/10.1016/j.cell.2013.04.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043134357
298 rdf:type schema:CreativeWork
299 https://doi.org/10.1016/j.celrep.2014.01.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025535306
300 rdf:type schema:CreativeWork
301 https://doi.org/10.1016/j.devcel.2012.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038030306
302 rdf:type schema:CreativeWork
303 https://doi.org/10.1016/j.mcn.2007.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012956999
304 rdf:type schema:CreativeWork
305 https://doi.org/10.1016/j.mcn.2011.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024934110
306 rdf:type schema:CreativeWork
307 https://doi.org/10.1016/j.neuron.2004.10.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047520696
308 rdf:type schema:CreativeWork
309 https://doi.org/10.1016/j.tig.2011.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048836631
310 rdf:type schema:CreativeWork
311 https://doi.org/10.1016/j.ydbio.2013.01.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002138681
312 rdf:type schema:CreativeWork
313 https://doi.org/10.1016/s0896-6273(00)80349-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000410659
314 rdf:type schema:CreativeWork
315 https://doi.org/10.1016/s0960-9822(03)00064-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046104587
316 rdf:type schema:CreativeWork
317 https://doi.org/10.1016/s0960-9822(98)00016-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039132855
318 rdf:type schema:CreativeWork
319 https://doi.org/10.1038/msb.2010.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023196604
320 rdf:type schema:CreativeWork
321 https://doi.org/10.1073/pnas.0407523102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021959776
322 rdf:type schema:CreativeWork
323 https://doi.org/10.1073/pnas.0509260103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033863325
324 rdf:type schema:CreativeWork
325 https://doi.org/10.1073/pnas.091062498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001631710
326 rdf:type schema:CreativeWork
327 https://doi.org/10.1073/pnas.092538799 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009364821
328 rdf:type schema:CreativeWork
329 https://doi.org/10.1073/pnas.81.22.7046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042405872
330 rdf:type schema:CreativeWork
331 https://doi.org/10.1091/mbc.e11-01-0028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044183604
332 rdf:type schema:CreativeWork
333 https://doi.org/10.1093/nar/gkn923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047610281
334 rdf:type schema:CreativeWork
335 https://doi.org/10.1093/nar/gkp542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042357646
336 rdf:type schema:CreativeWork
337 https://doi.org/10.1101/gad.1382206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017600046
338 rdf:type schema:CreativeWork
339 https://doi.org/10.1101/gr.130559.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040139837
340 rdf:type schema:CreativeWork
341 https://doi.org/10.1101/gr.134312.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043823306
342 rdf:type schema:CreativeWork
343 https://doi.org/10.1128/mcb.01506-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045173645
344 rdf:type schema:CreativeWork
345 https://doi.org/10.1242/dev.006379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003322314
346 rdf:type schema:CreativeWork
347 https://doi.org/10.1242/dev.014977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030262201
348 rdf:type schema:CreativeWork
349 https://doi.org/10.1242/dev.043604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035627263
350 rdf:type schema:CreativeWork
351 https://doi.org/10.1242/jcs.120139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035964896
352 rdf:type schema:CreativeWork
353 https://doi.org/10.1261/rna.033209.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005312451
354 rdf:type schema:CreativeWork
355 https://doi.org/10.1261/rna.046029.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047241584
356 rdf:type schema:CreativeWork
357 https://doi.org/10.1371/journal.pcbi.1000026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038691468
358 rdf:type schema:CreativeWork
359 https://doi.org/10.1371/journal.pgen.1002515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022027210
360 rdf:type schema:CreativeWork
361 https://doi.org/10.1523/jneurosci.1779-05.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012926406
362 rdf:type schema:CreativeWork
363 https://doi.org/10.1523/jneurosci.1800-10.2010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021341350
364 rdf:type schema:CreativeWork
365 https://doi.org/10.1523/jneurosci.2668-12.2012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033441132
366 rdf:type schema:CreativeWork
367 https://doi.org/10.1523/jneurosci.4944-13.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032317792
368 rdf:type schema:CreativeWork
369 https://doi.org/10.1523/jneurosci.5553-07.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051630572
370 rdf:type schema:CreativeWork
371 https://www.grid.ac/institutes/grid.266096.d schema:alternateName University of California, Merced
372 schema:name Quantitative and Systems Biology Graduate Program, University of California, 5200 N. Lake Rd, Merced, CA, USA
373 rdf:type schema:Organization
 




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


...