Methods For Modulating Dna Repair Outcomes


Ontology type: sgo:Patent     


Patent Info

DATE

2020-05-20T00:00

AUTHORS

CAPURSO DANIEL , MAY ANDREW P , VAN OVERBEEK MEGAN

ABSTRACT

Methods for gene editing and predicting non-random editing events are described. The methods use Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) systems to characterize and manipulate DNA repair outcomes at Cas-initiated double-strand breaks (DSBs) to anticipate functional outcomes.

Related SciGraph Publications

  • 2016-04-20. The CRISPR-associated DNA-cleaving enzyme Cpf1 also processes precursor CRISPR RNA in NATURE
  • 2010-02-02. CRISPR interference: RNA-directed adaptive immunity in bacteria and archaea in NATURE REVIEWS GENETICS
  • 2011-04-03. Structural basis for CRISPR RNA-guided DNA recognition by Cascade in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2004-10. DNA end resection, homologous recombination and DNA damage checkpoint activation require CDK1 in NATURE
  • 2015-03-23. Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining in NATURE BIOTECHNOLOGY
  • 2015-03-24. Increasing the efficiency of homology-directed repair for CRISPR-Cas9-induced precise gene editing in mammalian cells in NATURE BIOTECHNOLOGY
  • 2015-04-01. In vivo genome editing using Staphylococcus aureus Cas9 in NATURE
  • 2011-04-06. State-of-the-art gene-based therapies: the road ahead in NATURE REVIEWS GENETICS
  • 2014-04-09. High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells in NATURE
  • 2015-09-16. BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis in NATURE
  • 2008-08-20. CDK targets Sae2 to control DNA-end resection and homologous recombination in NATURE
  • 2014-07-27. Structural basis of PAM-dependent target DNA recognition by the Cas9 endonuclease in NATURE
  • 2015-10-28. Conformational control of DNA target cleavage by CRISPR–Cas9 in NATURE
  • 2014-11-20. Microhomology-mediated end-joining-dependent integration of donor DNA in cells and animals using TALENs and CRISPR/Cas9 in NATURE COMMUNICATIONS
  • 2014-06-15. DNA sequencing and CRISPR-Cas9 gene editing for target validation in mammalian cells in NATURE CHEMICAL BIOLOGY
  • 2014-01-26. Improving CRISPR-Cas nuclease specificity using truncated guide RNAs in NATURE BIOTECHNOLOGY
  • 2013-09-29. Orthogonal Cas9 proteins for RNA-guided gene regulation and editing in NATURE METHODS
  • 2013-12-23. Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library in NATURE BIOTECHNOLOGY
  • 2000-10. Overview of vector design for mammalian gene expression in MOLECULAR BIOTECHNOLOGY
  • 2018-11-27. Predicting the mutations generated by repair of Cas9-induced double-strand breaks in NATURE BIOTECHNOLOGY
  • 2015-10-20. Genome editing of CXCR4 by CRISPR/cas9 confers cells resistant to HIV-1 infection in SCIENTIFIC REPORTS
  • 1998-11. Late embryonic lethality and impaired V (D)J recombination in mice lacking DNA ligase IV in NATURE
  • 2014-06-27. Microhomology-based choice of Cas9 nuclease target sites in NATURE METHODS
  • 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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "name": "CAPURSO DANIEL", 
            "type": "Person"
          }, 
          {
            "name": "MAY ANDREW P", 
            "type": "Person"
          }, 
          {
            "name": "VAN OVERBEEK MEGAN", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nature13579", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036390967", 
              "https://doi.org/10.1038/nature13579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07215", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031468320", 
              "https://doi.org/10.1038/nature07215"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.4317", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110223732", 
              "https://doi.org/10.1038/nbt.4317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature17945", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001137935", 
              "https://doi.org/10.1038/nature17945"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017538548", 
              "https://doi.org/10.1038/nbt.3190"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature15521", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032459584", 
              "https://doi.org/10.1038/nature15521"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2971", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030150959", 
              "https://doi.org/10.1038/nrg2971"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.1550", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019333267", 
              "https://doi.org/10.1038/nchembio.1550"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2800", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041802825", 
              "https://doi.org/10.1038/nbt.2800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1385/mb:16:2:151", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021334842", 
              "https://doi.org/10.1385/mb:16:2:151"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2749", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005460200", 
              "https://doi.org/10.1038/nrg2749"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028304735", 
              "https://doi.org/10.1038/nmeth.2681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep15577", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007167295", 
              "https://doi.org/10.1038/srep15577"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009138948", 
              "https://doi.org/10.1038/nmeth.3015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms6560", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004431920", 
              "https://doi.org/10.1038/ncomms6560"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027499136", 
              "https://doi.org/10.1038/nature13166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/24172", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003760791", 
              "https://doi.org/10.1038/24172"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature02964", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050476890", 
              "https://doi.org/10.1038/nature02964"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.2019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011829375", 
              "https://doi.org/10.1038/nsmb.2019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3198", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008895789", 
              "https://doi.org/10.1038/nbt.3198"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature14299", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019168198", 
              "https://doi.org/10.1038/nature14299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048637524", 
              "https://doi.org/10.1038/nbt.2808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature15544", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047311922", 
              "https://doi.org/10.1038/nature15544"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-05-20T00:00", 
        "description": "

    Methods for gene editing and predicting non-random editing events are described. The methods use Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) systems to characterize and manipulate DNA repair outcomes at Cas-initiated double-strand breaks (DSBs) to anticipate functional outcomes.\n

    ", "id": "sg:patent.EP-3653709-A1", "name": "METHODS FOR MODULATING DNA REPAIR OUTCOMES", "recipient": [ { "id": "http://www.grid.ac/institutes/grid.487961.5", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/EP-3653709-A1" ], "sdDataset": "patents", "sdDatePublished": "2022-09-02T16:21", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/patent/patent_22.jsonl", "type": "Patent" } ]
     

    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/patent.EP-3653709-A1'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.EP-3653709-A1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.EP-3653709-A1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.EP-3653709-A1'


     

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

    125 TRIPLES      14 PREDICATES      38 URIs      8 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:patent.EP-3653709-A1 schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author N9bcf5ac25ec140b182f7240d4fb72297
    4 schema:citation sg:pub.10.1038/24172
    5 sg:pub.10.1038/nature02964
    6 sg:pub.10.1038/nature07215
    7 sg:pub.10.1038/nature13166
    8 sg:pub.10.1038/nature13579
    9 sg:pub.10.1038/nature14299
    10 sg:pub.10.1038/nature15521
    11 sg:pub.10.1038/nature15544
    12 sg:pub.10.1038/nature17945
    13 sg:pub.10.1038/nbt.2800
    14 sg:pub.10.1038/nbt.2808
    15 sg:pub.10.1038/nbt.3190
    16 sg:pub.10.1038/nbt.3198
    17 sg:pub.10.1038/nbt.4317
    18 sg:pub.10.1038/nchembio.1550
    19 sg:pub.10.1038/ncomms6560
    20 sg:pub.10.1038/nmeth.2681
    21 sg:pub.10.1038/nmeth.3015
    22 sg:pub.10.1038/nrg2749
    23 sg:pub.10.1038/nrg2971
    24 sg:pub.10.1038/nsmb.2019
    25 sg:pub.10.1038/srep15577
    26 sg:pub.10.1385/mb:16:2:151
    27 schema:datePublished 2020-05-20T00:00
    28 schema:description <p id="pa01" num="0001">Methods for gene editing and predicting non-random editing events are described. The methods use Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) systems to characterize and manipulate DNA repair outcomes at Cas-initiated double-strand breaks (DSBs) to anticipate functional outcomes. <img id="iaf01" file="imgaf001.tif" wi="151" he="89" img-content="drawing" img-format="tif"/></p>
    29 schema:name METHODS FOR MODULATING DNA REPAIR OUTCOMES
    30 schema:recipient grid-institutes:grid.487961.5
    31 schema:sameAs https://app.dimensions.ai/details/patent/EP-3653709-A1
    32 schema:sdDatePublished 2022-09-02T16:21
    33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    34 schema:sdPublisher N71b343a439974fdba0c6b832f88a8d58
    35 sgo:license sg:explorer/license/
    36 sgo:sdDataset patents
    37 rdf:type sgo:Patent
    38 N30ddd3b9daf44d329e7bf0f4e5c4814c schema:name MAY ANDREW P
    39 rdf:type schema:Person
    40 N57d3464a00494f25b9f73d79d256db42 schema:name VAN OVERBEEK MEGAN
    41 rdf:type schema:Person
    42 N71b343a439974fdba0c6b832f88a8d58 schema:name Springer Nature - SN SciGraph project
    43 rdf:type schema:Organization
    44 N73c7d21901994af6b1e6cdc50a7e9045 rdf:first N30ddd3b9daf44d329e7bf0f4e5c4814c
    45 rdf:rest N894927a361d841fab7719038339b1417
    46 N894927a361d841fab7719038339b1417 rdf:first N57d3464a00494f25b9f73d79d256db42
    47 rdf:rest rdf:nil
    48 N9054d6618f00452cb03a65fe8089a4c4 schema:name CAPURSO DANIEL
    49 rdf:type schema:Person
    50 N9bcf5ac25ec140b182f7240d4fb72297 rdf:first N9054d6618f00452cb03a65fe8089a4c4
    51 rdf:rest N73c7d21901994af6b1e6cdc50a7e9045
    52 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    53 rdf:type schema:DefinedTerm
    54 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    55 rdf:type schema:DefinedTerm
    56 sg:pub.10.1038/24172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003760791
    57 https://doi.org/10.1038/24172
    58 rdf:type schema:CreativeWork
    59 sg:pub.10.1038/nature02964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050476890
    60 https://doi.org/10.1038/nature02964
    61 rdf:type schema:CreativeWork
    62 sg:pub.10.1038/nature07215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031468320
    63 https://doi.org/10.1038/nature07215
    64 rdf:type schema:CreativeWork
    65 sg:pub.10.1038/nature13166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027499136
    66 https://doi.org/10.1038/nature13166
    67 rdf:type schema:CreativeWork
    68 sg:pub.10.1038/nature13579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036390967
    69 https://doi.org/10.1038/nature13579
    70 rdf:type schema:CreativeWork
    71 sg:pub.10.1038/nature14299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019168198
    72 https://doi.org/10.1038/nature14299
    73 rdf:type schema:CreativeWork
    74 sg:pub.10.1038/nature15521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032459584
    75 https://doi.org/10.1038/nature15521
    76 rdf:type schema:CreativeWork
    77 sg:pub.10.1038/nature15544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047311922
    78 https://doi.org/10.1038/nature15544
    79 rdf:type schema:CreativeWork
    80 sg:pub.10.1038/nature17945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001137935
    81 https://doi.org/10.1038/nature17945
    82 rdf:type schema:CreativeWork
    83 sg:pub.10.1038/nbt.2800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041802825
    84 https://doi.org/10.1038/nbt.2800
    85 rdf:type schema:CreativeWork
    86 sg:pub.10.1038/nbt.2808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048637524
    87 https://doi.org/10.1038/nbt.2808
    88 rdf:type schema:CreativeWork
    89 sg:pub.10.1038/nbt.3190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017538548
    90 https://doi.org/10.1038/nbt.3190
    91 rdf:type schema:CreativeWork
    92 sg:pub.10.1038/nbt.3198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008895789
    93 https://doi.org/10.1038/nbt.3198
    94 rdf:type schema:CreativeWork
    95 sg:pub.10.1038/nbt.4317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110223732
    96 https://doi.org/10.1038/nbt.4317
    97 rdf:type schema:CreativeWork
    98 sg:pub.10.1038/nchembio.1550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019333267
    99 https://doi.org/10.1038/nchembio.1550
    100 rdf:type schema:CreativeWork
    101 sg:pub.10.1038/ncomms6560 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004431920
    102 https://doi.org/10.1038/ncomms6560
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1038/nmeth.2681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028304735
    105 https://doi.org/10.1038/nmeth.2681
    106 rdf:type schema:CreativeWork
    107 sg:pub.10.1038/nmeth.3015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009138948
    108 https://doi.org/10.1038/nmeth.3015
    109 rdf:type schema:CreativeWork
    110 sg:pub.10.1038/nrg2749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005460200
    111 https://doi.org/10.1038/nrg2749
    112 rdf:type schema:CreativeWork
    113 sg:pub.10.1038/nrg2971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030150959
    114 https://doi.org/10.1038/nrg2971
    115 rdf:type schema:CreativeWork
    116 sg:pub.10.1038/nsmb.2019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011829375
    117 https://doi.org/10.1038/nsmb.2019
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1038/srep15577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007167295
    120 https://doi.org/10.1038/srep15577
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1385/mb:16:2:151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021334842
    123 https://doi.org/10.1385/mb:16:2:151
    124 rdf:type schema:CreativeWork
    125 grid-institutes:grid.487961.5 schema:Organization
     




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


    ...