A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-03

AUTHORS

Douglas A Rubinson, Christopher P Dillon, Adam V Kwiatkowski, Claudia Sievers, Lili Yang, Johnny Kopinja, Dina L Rooney, Mingdi Zhang, Melanie M Ihrig, Michael T McManus, Frank B Gertler, Martin L Scott, Luk Van Parijs

ABSTRACT

RNA interference (RNAi) has recently emerged as a specific and efficient method to silence gene expression in mammalian cells either by transfection of short interfering RNAs (siRNAs; ref. 1) or, more recently, by transcription of short hairpin RNAs (shRNAs) from expression vectors and retroviruses. But the resistance of important cell types to transduction by these approaches, both in vitro and in vivo, has limited the use of RNAi. Here we describe a lentiviral system for delivery of shRNAs into cycling and non-cycling mammalian cells, stem cells, zygotes and their differentiated progeny. We show that lentivirus-delivered shRNAs are capable of specific, highly stable and functional silencing of gene expression in a variety of cell types and also in transgenic mice. Our lentiviral vectors should permit rapid and efficient analysis of gene function in primary human and animal cells and tissues and generation of animals that show reduced expression of specific genes. They may also provide new approaches for gene therapy. More... »

PAGES

401-406

Journal

TITLE

Nature Genetics

ISSUE

3

VOLUME

33

Related Patents

  • Sp35 Antibodies And Uses Thereof
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Method Of Regulating Gene Expression
  • Treatment Of Viral Infections By Modulation Of Host Cell Metabolic Pathways
  • Regulation Of Mink In Thymocytes And T Lymphocytes
  • Composition Comprising Antibodies To Lingo Or Fragments Thereof
  • Methods Of Treatment Of Skin Ulcers
  • Sp35 Antibodies And Uses Thereof
  • Light-Sensitive Ion-Passing Molecules
  • Rna Interference Using A Universal Target
  • Composition Comprising Antibodies To Lingo Or Fragments Thereof
  • Methods And Compositions For Seamless Cloning Of Nucleic Acid Molecules
  • Method For Expression Of Small Rna Molecules Within A Cell
  • Method For Expression Of Small Rna Molecules Within A Cell
  • Polynucleotides And Polypeptide Sequences Involved In The Process Of Bone Remodeling
  • Composition Comprising A Cell Comprising A Stim1 Protein And An Agent That Modulates Intracellular Calcium And Methods Of Use
  • Sirna-Mediated Gene Silencing
  • Agents And Methods To Elicit Anti-Tumor Immune Response
  • Oligonucleotides Useful For Detecting And Analyzing Nucleic Acids Of Interest
  • Method Of Regulating Gene Expression
  • Cancer Immunotherapy
  • Sp35 Antibodies And Uses Thereof
  • Nogo Receptor Binding Protein
  • Optically-Based Stimulation Of Target Cells And Modifications Thereto
  • Methods And Compositions For Synthesis Of Nucleic Acid Molecules Using Multiple Recognition Sites
  • Treatment Of Conditions Involving Demyelination
  • Sirna Silencing Of Genes Expressed In Cancer
  • Lingo-2 Antagonists For Treatment Of Conditions Involving Motor Neurons
  • Siglec-15 Antibodies In Treating Bone Loss-Related Disease
  • Nogo Receptor Binding Protein
  • Methods And Compositions Relating To Improved Lentiviral Vector Production Systems
  • Identifying Calcineurin Activators For Treatment Of Schizophrenia
  • Polynucleotides And Polypeptide Sequences Involved In The Process Of Bone Remodeling
  • Compositions And Methods For Identifying Response Targets And Treating Flavivirus Infection Responses
  • Rna Interference Agents For Therapeutic Use
  • Antibodies That Bind Polypeptides Involved In The Process Of Bone Remodeling
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Polynucleotides And Polypeptide Sequences Involved In The Process Of Bone Remodeling
  • Method For Expression Of Small Antiviral Rna Molecules With Reduced Cytotoxicity Within A Cell
  • Anti-Siglec-15 Antibodies
  • Method For Selecting Sirnas From A Plurality Of Sirnas For Gene Silencing
  • Siglec-15 Antibodies In Treating Bone Loss-Related Disease
  • Lentiviral Vectors That Provide Improved Expression And Reduced Variegation After Transgenesis
  • Method For Expression Of Small Rna Molecules Within A Cell
  • Methods And Compositions Relating To Restricted Expression Lentiviral Vectors And Their Applications
  • Methods And Compositions Relating To Improved Lentiviral Vectors And Their Applications
  • Treatment Of Conditions Involving Demyelination
  • Retroviral Vectors For Delivery Of Interfering Rna
  • Calcium Channel Proteins And Uses Thereof
  • Targeting Clptm1l By Rna Interference For Treatment And Prevention Of Cancer
  • Non-Replicative Transduction Particles And Transduction Particle-Based Reporter Systems
  • Method For Expression Of Small Rna Molecules Within A Cell
  • Optogenetic Method For Generating An Inhibitory Current In A Mammalian Neuron
  • Non-Replicative Transduction Particles And Transduction Particle-Based Reporter Systems
  • Nucleic Acids Encoding Anti-Siglec-15 Antibodies
  • Compositions And Methods For Diagnosing Tumors Using Ledgf/P75
  • Polynucleotides And Polypeptide Sequences Involved In The Process Of Bone Remodeling
  • Means And Methods For The Specific Modulation Of Target Genes In The Cns And The Eye And Methods For Their Identification
  • Methods And Compositions Relating To Improved Lentiviral Vectors And Their Applications
  • Compositions Comprising Antibodies To Lingo Or Fragments Thereof
  • A Cre-Lox Based Method For Conditional Rna Interference
  • Method Of Regulating Gene Expression
  • Modulation Of Cytokine Signaling Regulators And Applications For Immunotherapy
  • Method For Expression Of Small Antiviral Rna Molecules Within A Cell
  • Irna Agents Targeting Vegf
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Methods And Compositions For Synthesis Of Nucleic Acid Molecules Using Multiple Recognition Sites
  • Compositions And Methods For Studying And Treating Inflammatory Diseases And Disorders
  • Polynucleotides And Polypeptide Sequences Involved In The Process Of Bonne Remodeling
  • Methods And Compositions For Treating And Preventing Neurologic Disorders
  • Nucleic Acid Cancer Immunotherapy
  • Method For Expression Of Small Rna Molecules Within A Cell
  • Rnai Modulation Of Aha And Therapeutic Uses Thereof
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Nogo Receptor Binding Protein
  • Treatment Of Viral Infections By Modulation Of Host Cell Metabolic Pathways
  • Compositions And Methods For Identifying Response Targets And Treating Flavivirus Infection Responses
  • Methods Of Impairing Osteoclast Differentiation Using Antibodies That Bind Siglec-15
  • Sp35 Antibodies And Uses Thereof
  • Methods Of Impairing Osteoclast Differentiation Using Antibodies That Bind Siglec-15
  • Sp35 Antibodies And Uses Thereof
  • Non-Replicative Transduction Particles And Transduction Particle-Based Reporter Systems
  • Mapkap Kinase-2 As A Specific Target For Blocking Proliferation Of P53-Defective Cells
  • Methods And Compositions For Seamless Cloning Of Nucleic Acid Molecules
  • Methods And Compositions For Seamless Cloning Of Nucleic Acid Molecules
  • Treatment Of Conditions Involving Demyelination
  • Methods And Compositions Relating To Improved Lentiviral Vectors And Their Applications
  • Compositions And Methods For Inhibiting Expression Of A Gene From The Jc Virus
  • Treatment Of Viral Infections By Modulation Of Host Cell Metabolic Pathways
  • Methods And Compositions Relating To Improved Lentiviral Vectors And Their Applications
  • Methods Of Making Antibodies That Bind Polypeptides Involved In The Process Of Bone Remodeling
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Irna Agents Targeting Vegf
  • Method Of Designing Sirnas For Gene Silencing
  • Small Interference Rna Gene Therapy
  • Retroviral Vectors For Delivery Of Interfering Rna
  • Nogo Receptor Binding Protein
  • Methods Of Modulating And Identifying Agents That Modulate Intracellular Calcium
  • Modulation Of Negative Immune Regulators And Applications For Immunotherapy
  • Sp35 Antibodies And Uses Thereof
  • Compositions And Methods For Treating B-Cell Malignancies
  • Nucleic Acid Molecules Containing Recombination Sites And Methods Of Using The Same
  • Mapkap Kinase-2 As A Specific Target For Blocking Proliferation Of P53-Defective
  • Screening Methods For Identifying Sp35 Antagonists
  • Optimization Of Vectors For Effective Delivery And Expression Of Genetic Content
  • Methods Of Modulating And Identifying Agents That Modulate Intracellular Calcium
  • Optically-Based Stimulation Of Target Cells And Modifications Thereto
  • A Cre-Lox Based Method For Conditional Rna Interference
  • Methods And Compositions Relating To Restricted Expression Lentiviral Vectors And Their Applications
  • Methods For Producing Micrornas
  • P53 Silenced Endothelial Progenitor Cells For Diabetes
  • Agents And Methods To Elicit Anti-Tumor Immune Response
  • Sirna-Mediated Gene Silencing
  • Methods And Compositions Relating To Improved Lentiviral Vector Production Systems
  • Method Of Regulating Gene Expression
  • Methods And Compositions For Rna Interference
  • Compositions And Methods For Sirna Inhibition Of Angiogenesis
  • Compositions And Methods For Inhibiting Expression Of Ikk-B Gene
  • Nogo Receptor Binding Protein
  • Compositions And Methods For Inhibiting Expression Of Eg5 Gene
  • Sirna-Mediated Gene Silencing
  • Siglec 15 Antibodies In Treating Bone Loss-Related Disease
  • Method Of Regulating Gene Expression
  • Sp35 Antibodies And Uses Thereof
  • Nucleic Acid Molecules Containing Recombination Sites And Methods Of Using The Same
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng1117

    DOI

    http://dx.doi.org/10.1038/ng1117

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1048907095

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/12590264


    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": "Base Sequence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "CD8 Antigens", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "CD8-Positive T-Lymphocytes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cells, Cultured", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Vectors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Green Fluorescent Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lentivirus", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Luminescent Proteins", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mice, Transgenic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Molecular Sequence Data", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nucleic Acid Conformation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "RNA Interference", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Receptors, Interleukin-2", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stem Cells", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Massachusetts Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.116068.8", 
              "name": [
                "Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA."
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rubinson", 
            "givenName": "Douglas A", 
            "id": "sg:person.0764221116.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764221116.41"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Dillon", 
            "givenName": "Christopher P", 
            "id": "sg:person.0755222730.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755222730.88"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Kwiatkowski", 
            "givenName": "Adam V", 
            "id": "sg:person.0706537712.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706537712.21"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Sievers", 
            "givenName": "Claudia", 
            "id": "sg:person.01232104316.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232104316.66"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Yang", 
            "givenName": "Lili", 
            "id": "sg:person.01014332777.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014332777.03"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Kopinja", 
            "givenName": "Johnny", 
            "id": "sg:person.01101407775.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101407775.46"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Rooney", 
            "givenName": "Dina L", 
            "type": "Person"
          }, 
          {
            "familyName": "Zhang", 
            "givenName": "Mingdi", 
            "id": "sg:person.0671042016.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671042016.37"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Ihrig", 
            "givenName": "Melanie M", 
            "id": "sg:person.01126363677.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126363677.03"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "McManus", 
            "givenName": "Michael T", 
            "id": "sg:person.013543306317.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013543306317.34"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Gertler", 
            "givenName": "Frank B", 
            "id": "sg:person.0755724733.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755724733.10"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Scott", 
            "givenName": "Martin L", 
            "id": "sg:person.0652143160.94", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652143160.94"
            ], 
            "type": "Person"
          }, 
          {
            "familyName": "Van Parijs", 
            "givenName": "Luk", 
            "id": "sg:person.0676103163.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676103163.00"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/0092-8674(94)90169-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000321638"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-497", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000546028", 
              "https://doi.org/10.1038/nbt0502-497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-497", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000546028", 
              "https://doi.org/10.1038/nbt0502-497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0958-1669(98)80029-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000592141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003050911", 
              "https://doi.org/10.1038/nrg908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg908", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003050911", 
              "https://doi.org/10.1038/nrg908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/1074-7613(95)90180-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003314530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/418038a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006471802", 
              "https://doi.org/10.1038/418038a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/418038a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006471802", 
              "https://doi.org/10.1038/418038a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.082117599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008914829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0952-7915(00)00247-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009871072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.092143499", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011544791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1535-6108(02)00092-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012406061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017195653", 
              "https://doi.org/10.1038/nbt0502-500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017195653", 
              "https://doi.org/10.1038/nbt0502-500"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gad.981002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017530405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.251682798", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017808963"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1067081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018333078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0092-8674(00)81341-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018539855"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.10.8.4406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019195100"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1068999", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020993705"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.10.4528", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025947292"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35078107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028423924", 
              "https://doi.org/10.1038/35078107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35078107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028423924", 
              "https://doi.org/10.1038/35078107"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032921883", 
              "https://doi.org/10.1038/nbt0502-505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-505", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032921883", 
              "https://doi.org/10.1038/nbt0502-505"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/418244a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035887015", 
              "https://doi.org/10.1038/418244a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/418244a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035887015", 
              "https://doi.org/10.1038/418244a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/418244a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035887015", 
              "https://doi.org/10.1038/418244a"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-446", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036940895", 
              "https://doi.org/10.1038/nbt0502-446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0502-446", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036940895", 
              "https://doi.org/10.1038/nbt0502-446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1749-6632.2000.tb05419.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043032737"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1535-6108(02)00122-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044016017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s1355838202024032", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054923777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.272.5259.263", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062552729"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2174/1566523023348237", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069184233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4049/jimmunol.169.10.5754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075187657"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2003-03", 
        "datePublishedReg": "2003-03-01", 
        "description": "RNA interference (RNAi) has recently emerged as a specific and efficient method to silence gene expression in mammalian cells either by transfection of short interfering RNAs (siRNAs; ref. 1) or, more recently, by transcription of short hairpin RNAs (shRNAs) from expression vectors and retroviruses. But the resistance of important cell types to transduction by these approaches, both in vitro and in vivo, has limited the use of RNAi. Here we describe a lentiviral system for delivery of shRNAs into cycling and non-cycling mammalian cells, stem cells, zygotes and their differentiated progeny. We show that lentivirus-delivered shRNAs are capable of specific, highly stable and functional silencing of gene expression in a variety of cell types and also in transgenic mice. Our lentiviral vectors should permit rapid and efficient analysis of gene function in primary human and animal cells and tissues and generation of animals that show reduced expression of specific genes. They may also provide new approaches for gene therapy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/ng1117", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1103138", 
            "issn": [
              "1061-4036", 
              "1546-1718"
            ], 
            "name": "Nature Genetics", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "33"
          }
        ], 
        "name": "A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference", 
        "pagination": "401-406", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "e8fbe4d611a13539c0cabf2df46239d2cdc6730425148180efaf85921024bc30"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "12590264"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9216904"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/ng1117"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1048907095"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/ng1117", 
          "https://app.dimensions.ai/details/publication/pub.1048907095"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:13", 
        "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/v90/0000000361_0000000361/records_53998_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/ng/journal/v33/n3/full/ng1117.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/ng1117'

    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/ng1117'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng1117'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng1117'


     

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

    300 TRIPLES      21 PREDICATES      74 URIs      38 LITERALS      26 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/ng1117 schema:about N085a412bed0b499fa2995bf6752dace7
    2 N2100870730964b8cb8123d23039598e7
    3 N2462ce17baa54997982247b865e232eb
    4 N35bc695953b44db2b68d7e01a4fd43a2
    5 N4c8a6bb10c1245928cea62b3295711ce
    6 N54098330f88f4ce6aba35656a4c6c0fd
    7 N578ffff8c489438eb76aca7ca2d707dd
    8 N734bb309f1f64b159661df20932318e1
    9 N848e7c1f765344c8acf38c384ef68fe5
    10 Naed9da6cdbb44ccb9e94d5c2ac657e80
    11 Nb12092a4f92b4bf98e900c8600485964
    12 Nc4229f9e749e4810a9c14ed1ded773d2
    13 Nc4321263b6444c0cba573aea004563cf
    14 Ncc01e7abe63743228e272dfbb84852c3
    15 Nddb2bf7b233c4b47883c3ac0d9b025fa
    16 Neda74dc9c3034fa5a57990800f7340c3
    17 Nff31259df16d4af0abd6ded5eed8a94a
    18 anzsrc-for:06
    19 anzsrc-for:0604
    20 schema:author N3154bc11bfeb4aaaadf75088425d3f75
    21 schema:citation sg:pub.10.1038/35078107
    22 sg:pub.10.1038/418038a
    23 sg:pub.10.1038/418244a
    24 sg:pub.10.1038/nbt0502-446
    25 sg:pub.10.1038/nbt0502-497
    26 sg:pub.10.1038/nbt0502-500
    27 sg:pub.10.1038/nbt0502-505
    28 sg:pub.10.1038/nrg908
    29 https://doi.org/10.1016/0092-8674(94)90169-4
    30 https://doi.org/10.1016/1074-7613(95)90180-9
    31 https://doi.org/10.1016/s0092-8674(00)81341-0
    32 https://doi.org/10.1016/s0952-7915(00)00247-8
    33 https://doi.org/10.1016/s0958-1669(98)80029-3
    34 https://doi.org/10.1016/s1535-6108(02)00092-2
    35 https://doi.org/10.1016/s1535-6108(02)00122-8
    36 https://doi.org/10.1017/s1355838202024032
    37 https://doi.org/10.1073/pnas.082117599
    38 https://doi.org/10.1073/pnas.092143499
    39 https://doi.org/10.1073/pnas.251682798
    40 https://doi.org/10.1073/pnas.90.10.4528
    41 https://doi.org/10.1101/gad.981002
    42 https://doi.org/10.1111/j.1749-6632.2000.tb05419.x
    43 https://doi.org/10.1126/science.1067081
    44 https://doi.org/10.1126/science.1068999
    45 https://doi.org/10.1126/science.272.5259.263
    46 https://doi.org/10.1128/mcb.10.8.4406
    47 https://doi.org/10.2174/1566523023348237
    48 https://doi.org/10.4049/jimmunol.169.10.5754
    49 schema:datePublished 2003-03
    50 schema:datePublishedReg 2003-03-01
    51 schema:description RNA interference (RNAi) has recently emerged as a specific and efficient method to silence gene expression in mammalian cells either by transfection of short interfering RNAs (siRNAs; ref. 1) or, more recently, by transcription of short hairpin RNAs (shRNAs) from expression vectors and retroviruses. But the resistance of important cell types to transduction by these approaches, both in vitro and in vivo, has limited the use of RNAi. Here we describe a lentiviral system for delivery of shRNAs into cycling and non-cycling mammalian cells, stem cells, zygotes and their differentiated progeny. We show that lentivirus-delivered shRNAs are capable of specific, highly stable and functional silencing of gene expression in a variety of cell types and also in transgenic mice. Our lentiviral vectors should permit rapid and efficient analysis of gene function in primary human and animal cells and tissues and generation of animals that show reduced expression of specific genes. They may also provide new approaches for gene therapy.
    52 schema:genre research_article
    53 schema:inLanguage en
    54 schema:isAccessibleForFree false
    55 schema:isPartOf N7c8b27ce3fcb450494fd3fc121debc10
    56 Nad46427670194116ade2dcb1f6f66473
    57 sg:journal.1103138
    58 schema:name A lentivirus-based system to functionally silence genes in primary mammalian cells, stem cells and transgenic mice by RNA interference
    59 schema:pagination 401-406
    60 schema:productId N2ce982e72ed7411bb9fdd6475cf9662a
    61 N40bb8dac2bbe4847b286097269acbe60
    62 N770b89d127274ec8bf549c4a722b66f0
    63 Na530401393704f059d0a71cd6e447d93
    64 Nf2aa5140e3fb4687baf0dcdf7f303717
    65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048907095
    66 https://doi.org/10.1038/ng1117
    67 schema:sdDatePublished 2019-04-11T12:13
    68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    69 schema:sdPublisher N877384bbbd854b38adc74926fedec1af
    70 schema:url http://www.nature.com/ng/journal/v33/n3/full/ng1117.html
    71 sgo:license sg:explorer/license/
    72 sgo:sdDataset articles
    73 rdf:type schema:ScholarlyArticle
    74 N04162339c2f4410693697a1b88f232a4 rdf:first sg:person.0671042016.37
    75 rdf:rest N196bcd10b5774e7f94e50eea3de0e033
    76 N085a412bed0b499fa2995bf6752dace7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    77 schema:name RNA Interference
    78 rdf:type schema:DefinedTerm
    79 N09a4d97a520a4b4d89fa09d73845a420 rdf:first sg:person.01014332777.03
    80 rdf:rest N16da65adaed9478a8df70a8aefd37236
    81 N16da65adaed9478a8df70a8aefd37236 rdf:first sg:person.01101407775.46
    82 rdf:rest Nbe2055a9ee6a4728b7bbb96cbd9f8864
    83 N196bcd10b5774e7f94e50eea3de0e033 rdf:first sg:person.01126363677.03
    84 rdf:rest N93d24f62d0fc4a8ab6bb5bba718ed27f
    85 N2100870730964b8cb8123d23039598e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Lentivirus
    87 rdf:type schema:DefinedTerm
    88 N2462ce17baa54997982247b865e232eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Base Sequence
    90 rdf:type schema:DefinedTerm
    91 N2ce982e72ed7411bb9fdd6475cf9662a schema:name dimensions_id
    92 schema:value pub.1048907095
    93 rdf:type schema:PropertyValue
    94 N3154bc11bfeb4aaaadf75088425d3f75 rdf:first sg:person.0764221116.41
    95 rdf:rest N56e4af14783748b68aa2c19e96c4e909
    96 N35bc695953b44db2b68d7e01a4fd43a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name Mice
    98 rdf:type schema:DefinedTerm
    99 N40bb8dac2bbe4847b286097269acbe60 schema:name readcube_id
    100 schema:value e8fbe4d611a13539c0cabf2df46239d2cdc6730425148180efaf85921024bc30
    101 rdf:type schema:PropertyValue
    102 N40e638e272ab4bc6adbf4d1110520d47 rdf:first sg:person.0706537712.21
    103 rdf:rest N51f3e1cbb8124bb1854dbc1b6aabe0dc
    104 N4c8a6bb10c1245928cea62b3295711ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name CD8-Positive T-Lymphocytes
    106 rdf:type schema:DefinedTerm
    107 N51f3e1cbb8124bb1854dbc1b6aabe0dc rdf:first sg:person.01232104316.66
    108 rdf:rest N09a4d97a520a4b4d89fa09d73845a420
    109 N54098330f88f4ce6aba35656a4c6c0fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Stem Cells
    111 rdf:type schema:DefinedTerm
    112 N56e4af14783748b68aa2c19e96c4e909 rdf:first sg:person.0755222730.88
    113 rdf:rest N40e638e272ab4bc6adbf4d1110520d47
    114 N578ffff8c489438eb76aca7ca2d707dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name RNA
    116 rdf:type schema:DefinedTerm
    117 N734bb309f1f64b159661df20932318e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Molecular Sequence Data
    119 rdf:type schema:DefinedTerm
    120 N770b89d127274ec8bf549c4a722b66f0 schema:name doi
    121 schema:value 10.1038/ng1117
    122 rdf:type schema:PropertyValue
    123 N79cd14808e4e42c4878eea0ef504ffd4 rdf:first sg:person.0652143160.94
    124 rdf:rest N983c5eca28f747d7bbf49b62575827ed
    125 N7c8b27ce3fcb450494fd3fc121debc10 schema:volumeNumber 33
    126 rdf:type schema:PublicationVolume
    127 N848e7c1f765344c8acf38c384ef68fe5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Nucleic Acid Conformation
    129 rdf:type schema:DefinedTerm
    130 N877384bbbd854b38adc74926fedec1af schema:name Springer Nature - SN SciGraph project
    131 rdf:type schema:Organization
    132 N93d24f62d0fc4a8ab6bb5bba718ed27f rdf:first sg:person.013543306317.34
    133 rdf:rest Nda83a8f996444076ac257ab90ed7a9b6
    134 N983c5eca28f747d7bbf49b62575827ed rdf:first sg:person.0676103163.00
    135 rdf:rest rdf:nil
    136 Na530401393704f059d0a71cd6e447d93 schema:name pubmed_id
    137 schema:value 12590264
    138 rdf:type schema:PropertyValue
    139 Nad46427670194116ade2dcb1f6f66473 schema:issueNumber 3
    140 rdf:type schema:PublicationIssue
    141 Naed9da6cdbb44ccb9e94d5c2ac657e80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Mice, Transgenic
    143 rdf:type schema:DefinedTerm
    144 Nb12092a4f92b4bf98e900c8600485964 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Genetic Vectors
    146 rdf:type schema:DefinedTerm
    147 Nb4462aeb15d74441a50de7e35f3ee3f9 schema:familyName Rooney
    148 schema:givenName Dina L
    149 rdf:type schema:Person
    150 Nbe2055a9ee6a4728b7bbb96cbd9f8864 rdf:first Nb4462aeb15d74441a50de7e35f3ee3f9
    151 rdf:rest N04162339c2f4410693697a1b88f232a4
    152 Nc4229f9e749e4810a9c14ed1ded773d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Receptors, Interleukin-2
    154 rdf:type schema:DefinedTerm
    155 Nc4321263b6444c0cba573aea004563cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Animals
    157 rdf:type schema:DefinedTerm
    158 Ncc01e7abe63743228e272dfbb84852c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Luminescent Proteins
    160 rdf:type schema:DefinedTerm
    161 Nda83a8f996444076ac257ab90ed7a9b6 rdf:first sg:person.0755724733.10
    162 rdf:rest N79cd14808e4e42c4878eea0ef504ffd4
    163 Nddb2bf7b233c4b47883c3ac0d9b025fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Green Fluorescent Proteins
    165 rdf:type schema:DefinedTerm
    166 Neda74dc9c3034fa5a57990800f7340c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name CD8 Antigens
    168 rdf:type schema:DefinedTerm
    169 Nf2aa5140e3fb4687baf0dcdf7f303717 schema:name nlm_unique_id
    170 schema:value 9216904
    171 rdf:type schema:PropertyValue
    172 Nff31259df16d4af0abd6ded5eed8a94a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Cells, Cultured
    174 rdf:type schema:DefinedTerm
    175 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    176 schema:name Biological Sciences
    177 rdf:type schema:DefinedTerm
    178 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    179 schema:name Genetics
    180 rdf:type schema:DefinedTerm
    181 sg:journal.1103138 schema:issn 1061-4036
    182 1546-1718
    183 schema:name Nature Genetics
    184 rdf:type schema:Periodical
    185 sg:person.01014332777.03 schema:familyName Yang
    186 schema:givenName Lili
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014332777.03
    188 rdf:type schema:Person
    189 sg:person.01101407775.46 schema:familyName Kopinja
    190 schema:givenName Johnny
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101407775.46
    192 rdf:type schema:Person
    193 sg:person.01126363677.03 schema:familyName Ihrig
    194 schema:givenName Melanie M
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126363677.03
    196 rdf:type schema:Person
    197 sg:person.01232104316.66 schema:familyName Sievers
    198 schema:givenName Claudia
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232104316.66
    200 rdf:type schema:Person
    201 sg:person.013543306317.34 schema:familyName McManus
    202 schema:givenName Michael T
    203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013543306317.34
    204 rdf:type schema:Person
    205 sg:person.0652143160.94 schema:familyName Scott
    206 schema:givenName Martin L
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652143160.94
    208 rdf:type schema:Person
    209 sg:person.0671042016.37 schema:familyName Zhang
    210 schema:givenName Mingdi
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671042016.37
    212 rdf:type schema:Person
    213 sg:person.0676103163.00 schema:familyName Van Parijs
    214 schema:givenName Luk
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676103163.00
    216 rdf:type schema:Person
    217 sg:person.0706537712.21 schema:familyName Kwiatkowski
    218 schema:givenName Adam V
    219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706537712.21
    220 rdf:type schema:Person
    221 sg:person.0755222730.88 schema:familyName Dillon
    222 schema:givenName Christopher P
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755222730.88
    224 rdf:type schema:Person
    225 sg:person.0755724733.10 schema:familyName Gertler
    226 schema:givenName Frank B
    227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755724733.10
    228 rdf:type schema:Person
    229 sg:person.0764221116.41 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
    230 schema:familyName Rubinson
    231 schema:givenName Douglas A
    232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764221116.41
    233 rdf:type schema:Person
    234 sg:pub.10.1038/35078107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028423924
    235 https://doi.org/10.1038/35078107
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1038/418038a schema:sameAs https://app.dimensions.ai/details/publication/pub.1006471802
    238 https://doi.org/10.1038/418038a
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1038/418244a schema:sameAs https://app.dimensions.ai/details/publication/pub.1035887015
    241 https://doi.org/10.1038/418244a
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1038/nbt0502-446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036940895
    244 https://doi.org/10.1038/nbt0502-446
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1038/nbt0502-497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000546028
    247 https://doi.org/10.1038/nbt0502-497
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1038/nbt0502-500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017195653
    250 https://doi.org/10.1038/nbt0502-500
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1038/nbt0502-505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032921883
    253 https://doi.org/10.1038/nbt0502-505
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nrg908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003050911
    256 https://doi.org/10.1038/nrg908
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/0092-8674(94)90169-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000321638
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/1074-7613(95)90180-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003314530
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/s0092-8674(00)81341-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018539855
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/s0952-7915(00)00247-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009871072
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/s0958-1669(98)80029-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000592141
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1016/s1535-6108(02)00092-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012406061
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/s1535-6108(02)00122-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044016017
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1017/s1355838202024032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054923777
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1073/pnas.082117599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008914829
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1073/pnas.092143499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011544791
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1073/pnas.251682798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017808963
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1073/pnas.90.10.4528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025947292
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1101/gad.981002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017530405
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1111/j.1749-6632.2000.tb05419.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043032737
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1126/science.1067081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018333078
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1126/science.1068999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020993705
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1126/science.272.5259.263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062552729
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1128/mcb.10.8.4406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019195100
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.2174/1566523023348237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069184233
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.4049/jimmunol.169.10.5754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075187657
    297 rdf:type schema:CreativeWork
    298 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
    299 schema:name Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.
    300 rdf:type schema:Organization
     




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


    ...