Chemical modification and design of anti-miRNA oligonucleotides View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

K A Lennox, M A Behlke

ABSTRACT

Antisense techniques have been employed for over 30 years to suppress expression of target RNAs. Recently, microRNAs (miRNAs) have emerged as a new class of small, non-coding, regulatory RNA molecules that widely impact gene regulation, differentiation and disease states in both plants and animals. Antisense techniques that employ synthetic oligonucleotides have been used to study miRNA function and some of these compounds may have potential as novel drug candidates to intervene in diseases where miRNAs contribute to the underlying pathophysiology. Anti-miRNA oligonucleotides (AMOs) appear to work primarily through a steric blocking mechanism of action; these compounds are synthetic reverse complements that tightly bind and inactivate the miRNA. A variety of chemical modifications can be used to improve the performance and potency of AMOs. In general, modifications that confer nuclease stability and increase binding affinity improve AMO performance. Chemical modifications and/or certain structural features of the AMO may also facilitate invasion into the miRNA-induced silencing complex. In particular, it is essential that the AMO binds with high affinity to the miRNA 'seed region', which spans bases 2-8 from the 5'-end of the miRNA. More... »

PAGES

1111

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/gt.2011.100

DOI

http://dx.doi.org/10.1038/gt.2011.100

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046141487

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21753793


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "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": "Drug Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Knockdown Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MicroRNAs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Morpholinos", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Oligonucleotides, Antisense", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Plant", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Integrated DNA Technologies (United States)", 
          "id": "https://www.grid.ac/institutes/grid.420360.3", 
          "name": [
            "Molecular Genetics and Biophysics, Integrated DNA Technologies, Coralville, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lennox", 
        "givenName": "K A", 
        "id": "sg:person.01050412767.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050412767.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Integrated DNA Technologies (United States)", 
          "id": "https://www.grid.ac/institutes/grid.420360.3", 
          "name": [
            "Molecular Genetics and Biophysics, Integrated DNA Technologies, Coralville, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Behlke", 
        "givenName": "M A", 
        "id": "sg:person.01232754567.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232754567.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/gkp577", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004873820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/21.11.2729", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005935711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.2533811", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006256036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1008861107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007624104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009059529", 
          "https://doi.org/10.1038/nprot.2007.313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm1113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009727938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2005.12.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009735280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1758-907x-1-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009874955", 
          "https://doi.org/10.1186/1758-907x-1-10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-05-0137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010855457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.c400438200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015179951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016455225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11095-010-0156-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017313631", 
          "https://doi.org/10.1007/s11095-010-0156-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11095-010-0156-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017313631", 
          "https://doi.org/10.1007/s11095-010-0156-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1432-1033.2003.03555.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017894506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019357581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020076173", 
          "https://doi.org/10.1038/ncb1373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncb1373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020076173", 
          "https://doi.org/10.1038/ncb1373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.082701.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020748413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020902072"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.5235104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021002441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021297038", 
          "https://doi.org/10.1038/nrg2504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.0020098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023336970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.22.4429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023945598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.1618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024956742", 
          "https://doi.org/10.1038/nbt.1618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028723946", 
          "https://doi.org/10.1038/nature07511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-7799(02)00038-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028788691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-7799(02)00038-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028788691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031121151", 
          "https://doi.org/10.1038/nature06783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/oli.2008.0164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032536567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.844108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033477420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035823261", 
          "https://doi.org/10.1038/ng.786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1006151107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038394364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1261/rna.448107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039077560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0915022107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039765707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd3179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041673897", 
          "https://doi.org/10.1038/nrd3179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrd3179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041673897", 
          "https://doi.org/10.1038/nrd3179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/zeb.2008.0555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042081827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkq160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042928886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045870087", 
          "https://doi.org/10.1038/nature04303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045870087", 
          "https://doi.org/10.1038/nature04303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045870087", 
          "https://doi.org/10.1038/nature04303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.75.1.280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046571750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2007.153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046792840", 
          "https://doi.org/10.1038/nprot.2007.153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048988578", 
          "https://doi.org/10.1038/nrg2290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/emboj.2010.361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049539250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051736636", 
          "https://doi.org/10.1038/ng1953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051736636", 
          "https://doi.org/10.1038/ng1953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmet.2006.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052534178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053401448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja012288d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055784397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja012288d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055784397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ard.1991.1.141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059229795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/oli.1.1997.7.187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059303013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/oli.2006.16.26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059303318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1178178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2144/000113005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069095935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.9.20.13686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072301178"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-12", 
    "datePublishedReg": "2011-12-01", 
    "description": "Antisense techniques have been employed for over 30 years to suppress expression of target RNAs. Recently, microRNAs (miRNAs) have emerged as a new class of small, non-coding, regulatory RNA molecules that widely impact gene regulation, differentiation and disease states in both plants and animals. Antisense techniques that employ synthetic oligonucleotides have been used to study miRNA function and some of these compounds may have potential as novel drug candidates to intervene in diseases where miRNAs contribute to the underlying pathophysiology. Anti-miRNA oligonucleotides (AMOs) appear to work primarily through a steric blocking mechanism of action; these compounds are synthetic reverse complements that tightly bind and inactivate the miRNA. A variety of chemical modifications can be used to improve the performance and potency of AMOs. In general, modifications that confer nuclease stability and increase binding affinity improve AMO performance. Chemical modifications and/or certain structural features of the AMO may also facilitate invasion into the miRNA-induced silencing complex. In particular, it is essential that the AMO binds with high affinity to the miRNA 'seed region', which spans bases 2-8 from the 5'-end of the miRNA.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/gt.2011.100", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1105638", 
        "issn": [
          "0969-7128", 
          "1476-5462"
        ], 
        "name": "Gene Therapy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Chemical modification and design of anti-miRNA oligonucleotides", 
    "pagination": "1111", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "dbcaea9da963143c5dc04d1a2105db11a752e5458013092f8e394e772ffd7ecc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21753793"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9421525"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/gt.2011.100"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1046141487"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/gt.2011.100", 
      "https://app.dimensions.ai/details/publication/pub.1046141487"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/gt2011100"
  }
]
 

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/gt.2011.100'

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/gt.2011.100'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/gt.2011.100'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/gt.2011.100'


 

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

277 TRIPLES      21 PREDICATES      88 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/gt.2011.100 schema:about N1990dee5bfea4ba9933ab412161bebd3
2 N2a92940de07c4c748897f9176a2d479e
3 N39afcb9115814488a96e577ce4ee910d
4 N4c980db954bf4dad991ab4be951d52f6
5 N4ed0bf9dc41649c9930b4bead86284ea
6 N698aff6c63324b70a15c3addaa4c4adc
7 N6d97061d308a401dae0e1034d6111569
8 N8c8e8e98f567445e8dc087642852f6d2
9 Na5acb6ca2e4c4746ba94709c4a3df7e7
10 Nd0744b46c2bd484f9755503c12814cc6
11 anzsrc-for:06
12 anzsrc-for:0601
13 schema:author N1f66d44a773c426d91b84016822063f0
14 schema:citation sg:pub.10.1007/s11095-010-0156-0
15 sg:pub.10.1038/nature04303
16 sg:pub.10.1038/nature06783
17 sg:pub.10.1038/nature07511
18 sg:pub.10.1038/nbt.1618
19 sg:pub.10.1038/ncb1373
20 sg:pub.10.1038/ng.786
21 sg:pub.10.1038/ng1953
22 sg:pub.10.1038/nprot.2007.153
23 sg:pub.10.1038/nprot.2007.313
24 sg:pub.10.1038/nrd3179
25 sg:pub.10.1038/nrg2290
26 sg:pub.10.1038/nrg2504
27 sg:pub.10.1186/1758-907x-1-10
28 https://doi.org/10.1016/j.cmet.2006.01.005
29 https://doi.org/10.1016/j.gene.2005.12.031
30 https://doi.org/10.1016/s0167-7799(02)00038-0
31 https://doi.org/10.1021/ja012288d
32 https://doi.org/10.1038/emboj.2010.361
33 https://doi.org/10.1046/j.1432-1033.2003.03555.x
34 https://doi.org/10.1073/pnas.0915022107
35 https://doi.org/10.1073/pnas.1006151107
36 https://doi.org/10.1073/pnas.1008861107
37 https://doi.org/10.1073/pnas.75.1.280
38 https://doi.org/10.1074/jbc.c400438200
39 https://doi.org/10.1089/ard.1991.1.141
40 https://doi.org/10.1089/oli.1.1997.7.187
41 https://doi.org/10.1089/oli.2006.16.26
42 https://doi.org/10.1089/oli.2008.0164
43 https://doi.org/10.1089/zeb.2008.0555
44 https://doi.org/10.1093/nar/21.11.2729
45 https://doi.org/10.1093/nar/25.22.4429
46 https://doi.org/10.1093/nar/gkg707
47 https://doi.org/10.1093/nar/gkl183
48 https://doi.org/10.1093/nar/gkm024
49 https://doi.org/10.1093/nar/gkm1113
50 https://doi.org/10.1093/nar/gkn904
51 https://doi.org/10.1093/nar/gkp577
52 https://doi.org/10.1093/nar/gkq160
53 https://doi.org/10.1101/gr.082701.108
54 https://doi.org/10.1126/science.1178178
55 https://doi.org/10.1158/0008-5472.can-05-0137
56 https://doi.org/10.1261/rna.2533811
57 https://doi.org/10.1261/rna.448107
58 https://doi.org/10.1261/rna.5235104
59 https://doi.org/10.1261/rna.844108
60 https://doi.org/10.1371/journal.pbio.0020098
61 https://doi.org/10.2144/000113005
62 https://doi.org/10.4161/cc.9.20.13686
63 schema:datePublished 2011-12
64 schema:datePublishedReg 2011-12-01
65 schema:description Antisense techniques have been employed for over 30 years to suppress expression of target RNAs. Recently, microRNAs (miRNAs) have emerged as a new class of small, non-coding, regulatory RNA molecules that widely impact gene regulation, differentiation and disease states in both plants and animals. Antisense techniques that employ synthetic oligonucleotides have been used to study miRNA function and some of these compounds may have potential as novel drug candidates to intervene in diseases where miRNAs contribute to the underlying pathophysiology. Anti-miRNA oligonucleotides (AMOs) appear to work primarily through a steric blocking mechanism of action; these compounds are synthetic reverse complements that tightly bind and inactivate the miRNA. A variety of chemical modifications can be used to improve the performance and potency of AMOs. In general, modifications that confer nuclease stability and increase binding affinity improve AMO performance. Chemical modifications and/or certain structural features of the AMO may also facilitate invasion into the miRNA-induced silencing complex. In particular, it is essential that the AMO binds with high affinity to the miRNA 'seed region', which spans bases 2-8 from the 5'-end of the miRNA.
66 schema:genre research_article
67 schema:inLanguage en
68 schema:isAccessibleForFree true
69 schema:isPartOf Nb524b91b38ac415c819a220eca927700
70 Nf1dfb019cd7f420783906c4d744d06d6
71 sg:journal.1105638
72 schema:name Chemical modification and design of anti-miRNA oligonucleotides
73 schema:pagination 1111
74 schema:productId N25e31ac5273a49b69e26f0fe04475619
75 N70ee60c6cead4662b938fb87e37e7525
76 Naf8166f73c934ba682fc80b321af86fe
77 Nca77022810414c80a22da0a10fb7d2fb
78 Ne64bb9abd6cf4628b019ddc015f476b7
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046141487
80 https://doi.org/10.1038/gt.2011.100
81 schema:sdDatePublished 2019-04-10T21:25
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher N3289ea53ca2346c685aa693dd181d09c
84 schema:url https://www.nature.com/articles/gt2011100
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N1990dee5bfea4ba9933ab412161bebd3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Morpholinos
90 rdf:type schema:DefinedTerm
91 N1f66d44a773c426d91b84016822063f0 rdf:first sg:person.01050412767.53
92 rdf:rest Nd4e6c111fc14468a9962bea7128ed318
93 N25e31ac5273a49b69e26f0fe04475619 schema:name doi
94 schema:value 10.1038/gt.2011.100
95 rdf:type schema:PropertyValue
96 N2a92940de07c4c748897f9176a2d479e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name RNA, Plant
98 rdf:type schema:DefinedTerm
99 N3289ea53ca2346c685aa693dd181d09c schema:name Springer Nature - SN SciGraph project
100 rdf:type schema:Organization
101 N39afcb9115814488a96e577ce4ee910d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Drug Design
103 rdf:type schema:DefinedTerm
104 N4c980db954bf4dad991ab4be951d52f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Gene Knockdown Techniques
106 rdf:type schema:DefinedTerm
107 N4ed0bf9dc41649c9930b4bead86284ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Oligonucleotides
109 rdf:type schema:DefinedTerm
110 N698aff6c63324b70a15c3addaa4c4adc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Animals
112 rdf:type schema:DefinedTerm
113 N6d97061d308a401dae0e1034d6111569 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Genetic Engineering
115 rdf:type schema:DefinedTerm
116 N70ee60c6cead4662b938fb87e37e7525 schema:name readcube_id
117 schema:value dbcaea9da963143c5dc04d1a2105db11a752e5458013092f8e394e772ffd7ecc
118 rdf:type schema:PropertyValue
119 N8c8e8e98f567445e8dc087642852f6d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Gene Expression Regulation
121 rdf:type schema:DefinedTerm
122 Na5acb6ca2e4c4746ba94709c4a3df7e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Oligonucleotides, Antisense
124 rdf:type schema:DefinedTerm
125 Naf8166f73c934ba682fc80b321af86fe schema:name dimensions_id
126 schema:value pub.1046141487
127 rdf:type schema:PropertyValue
128 Nb524b91b38ac415c819a220eca927700 schema:issueNumber 12
129 rdf:type schema:PublicationIssue
130 Nca77022810414c80a22da0a10fb7d2fb schema:name nlm_unique_id
131 schema:value 9421525
132 rdf:type schema:PropertyValue
133 Nd0744b46c2bd484f9755503c12814cc6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name MicroRNAs
135 rdf:type schema:DefinedTerm
136 Nd4e6c111fc14468a9962bea7128ed318 rdf:first sg:person.01232754567.66
137 rdf:rest rdf:nil
138 Ne64bb9abd6cf4628b019ddc015f476b7 schema:name pubmed_id
139 schema:value 21753793
140 rdf:type schema:PropertyValue
141 Nf1dfb019cd7f420783906c4d744d06d6 schema:volumeNumber 18
142 rdf:type schema:PublicationVolume
143 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
144 schema:name Biological Sciences
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
147 schema:name Biochemistry and Cell Biology
148 rdf:type schema:DefinedTerm
149 sg:journal.1105638 schema:issn 0969-7128
150 1476-5462
151 schema:name Gene Therapy
152 rdf:type schema:Periodical
153 sg:person.01050412767.53 schema:affiliation https://www.grid.ac/institutes/grid.420360.3
154 schema:familyName Lennox
155 schema:givenName K A
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050412767.53
157 rdf:type schema:Person
158 sg:person.01232754567.66 schema:affiliation https://www.grid.ac/institutes/grid.420360.3
159 schema:familyName Behlke
160 schema:givenName M A
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232754567.66
162 rdf:type schema:Person
163 sg:pub.10.1007/s11095-010-0156-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017313631
164 https://doi.org/10.1007/s11095-010-0156-0
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nature04303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045870087
167 https://doi.org/10.1038/nature04303
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nature06783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031121151
170 https://doi.org/10.1038/nature06783
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nature07511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028723946
173 https://doi.org/10.1038/nature07511
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nbt.1618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024956742
176 https://doi.org/10.1038/nbt.1618
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/ncb1373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020076173
179 https://doi.org/10.1038/ncb1373
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/ng.786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035823261
182 https://doi.org/10.1038/ng.786
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/ng1953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051736636
185 https://doi.org/10.1038/ng1953
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nprot.2007.153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046792840
188 https://doi.org/10.1038/nprot.2007.153
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nprot.2007.313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009059529
191 https://doi.org/10.1038/nprot.2007.313
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/nrd3179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041673897
194 https://doi.org/10.1038/nrd3179
195 rdf:type schema:CreativeWork
196 sg:pub.10.1038/nrg2290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048988578
197 https://doi.org/10.1038/nrg2290
198 rdf:type schema:CreativeWork
199 sg:pub.10.1038/nrg2504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021297038
200 https://doi.org/10.1038/nrg2504
201 rdf:type schema:CreativeWork
202 sg:pub.10.1186/1758-907x-1-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009874955
203 https://doi.org/10.1186/1758-907x-1-10
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.cmet.2006.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052534178
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.gene.2005.12.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009735280
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/s0167-7799(02)00038-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028788691
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1021/ja012288d schema:sameAs https://app.dimensions.ai/details/publication/pub.1055784397
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1038/emboj.2010.361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049539250
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1046/j.1432-1033.2003.03555.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017894506
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1073/pnas.0915022107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039765707
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1073/pnas.1006151107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038394364
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1073/pnas.1008861107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007624104
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1073/pnas.75.1.280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046571750
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1074/jbc.c400438200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015179951
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1089/ard.1991.1.141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059229795
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1089/oli.1.1997.7.187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059303013
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1089/oli.2006.16.26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059303318
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1089/oli.2008.0164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032536567
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1089/zeb.2008.0555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042081827
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1093/nar/21.11.2729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005935711
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1093/nar/25.22.4429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023945598
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1093/nar/gkg707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019357581
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1093/nar/gkl183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016455225
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1093/nar/gkm024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053401448
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1093/nar/gkm1113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009727938
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1093/nar/gkn904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020902072
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1093/nar/gkp577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004873820
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/nar/gkq160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042928886
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1101/gr.082701.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020748413
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1126/science.1178178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460479
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1158/0008-5472.can-05-0137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010855457
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1261/rna.2533811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006256036
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1261/rna.448107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039077560
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1261/rna.5235104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021002441
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1261/rna.844108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033477420
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1371/journal.pbio.0020098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023336970
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2144/000113005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069095935
272 rdf:type schema:CreativeWork
273 https://doi.org/10.4161/cc.9.20.13686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072301178
274 rdf:type schema:CreativeWork
275 https://www.grid.ac/institutes/grid.420360.3 schema:alternateName Integrated DNA Technologies (United States)
276 schema:name Molecular Genetics and Biophysics, Integrated DNA Technologies, Coralville, IA, USA
277 rdf:type schema:Organization
 




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


...