Solution structure of the RNA recognition domain of METTL3-METTL14 N6-methyladenosine methyltransferase View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-04

AUTHORS

Jinbo Huang, Xu Dong, Zhou Gong, Ling-Yun Qin, Shuai Yang, Yue-Ling Zhu, Xiang Wang, Delin Zhang, Tingting Zou, Ping Yin, Chun Tang

ABSTRACT

N6-methyladenosine (m6A), a ubiquitous RNA modification, is installed by METTL3-METTL14 complex. The structure of the heterodimeric complex between the methyltransferase domains (MTDs) of METTL3 and METTL14 has been previously determined. However, the MTDs alone possess no enzymatic activity. Here we present the solution structure for the zinc finger domain (ZFD) of METTL3, the inclusion of which fulfills the methyltransferase activity of METTL3-METTL14. We show that the ZFD specifically binds to an RNA containing 5'-GGACU-3' consensus sequence, but does not to one without. The ZFD thus serves as the target recognition domain, a structural feature previously shown for DNA methyltransferases, and cooperates with the MTDs of METTL3-METTL14 for catalysis. However, the interaction between the ZFD and the specific RNA is extremely weak, with the binding affinity at several hundred micromolar under physiological conditions. The ZFD contains two CCCH-type zinc fingers connected by an anti-parallel β-sheet. Mutational analysis and NMR titrations have mapped the functional interface to a contiguous surface. As a division of labor, the RNA-binding interface comprises basic residues from zinc finger 1 and hydrophobic residues from β-sheet and zinc finger 2. Further we show that the linker between the ZFD and MTD of METTL3 is flexible but partially folded, which may permit the cooperation between the two domains during catalysis. Together, the structural characterization of METTL3 ZFD paves the way to elucidate the atomic details of the entire process of RNA m6A modification. More... »

PAGES

272-284

References to SciGraph publications

  • 2014-05. Gene expression regulation mediated through reversible m6A RNA methylation in NATURE REVIEWS GENETICS
  • 2009-08. TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts in JOURNAL OF BIOMOLECULAR NMR
  • 2017-02. RNA-binding proteins in immune regulation: a focus on CCCH zinc finger proteins in NATURE REVIEWS IMMUNOLOGY
  • 2016-09. m6A RNA methylation promotes XIST-mediated transcriptional repression in NATURE
  • 2016-02. N6-methyladenosine-encoded epitranscriptomics in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2016-01. Recognition of distinct RNA motifs by the clustered CCCH zinc fingers of neuronal protein Unkempt in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2017-10. The RNA helicase DDX46 inhibits innate immunity by entrapping m6A-demethylated antiviral transcripts in the nucleus in NATURE IMMUNOLOGY
  • 2016-11-30. m6A modulates neuronal functions and sex determination in Drosophila in NATURE
  • 2014-02. Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase in CELL RESEARCH
  • 2016-06. Structural basis of N6-adenosine methylation by the METTL3–METTL14 complex in NATURE
  • 1995-11. NMRPipe: A multidimensional spectral processing system based on UNIX pipes in JOURNAL OF BIOMOLECULAR NMR
  • 2014-02. A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation in NATURE CHEMICAL BIOLOGY
  • 2017-03-15. RNA m6A methylation regulates the ultraviolet-induced DNA damage response in NATURE
  • 2015-09. Efficient segmental isotope labeling of multi-domain proteins using Sortase A in JOURNAL OF BIOMOLECULAR NMR
  • 2014-02. N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells in NATURE CELL BIOLOGY
  • 2012-04-29. Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq in NATURE
  • 1996-12. AQUA and PROCHECK-NMR: Programs for checking the quality of protein structures solved by NMR in JOURNAL OF BIOMOLECULAR NMR
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13238-018-0518-7

    DOI

    http://dx.doi.org/10.1007/s13238-018-0518-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101535223

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29542011


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Huang", 
            "givenName": "Jinbo", 
            "id": "sg:person.012315216761.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012315216761.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dong", 
            "givenName": "Xu", 
            "id": "sg:person.01243242637.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243242637.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gong", 
            "givenName": "Zhou", 
            "id": "sg:person.01304752153.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304752153.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Qin", 
            "givenName": "Ling-Yun", 
            "id": "sg:person.012156201217.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012156201217.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yang", 
            "givenName": "Shuai", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Yue-Ling", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Xiang", 
            "id": "sg:person.01314736236.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314736236.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Delin", 
            "id": "sg:person.01210441453.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210441453.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zou", 
            "givenName": "Tingting", 
            "id": "sg:person.01022007136.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022007136.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Huazhong Agricultural University", 
              "id": "https://www.grid.ac/institutes/grid.35155.37", 
              "name": [
                "National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yin", 
            "givenName": "Ping", 
            "id": "sg:person.0627020270.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627020270.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Wuhan Institute of Physics and Mathematics", 
              "id": "https://www.grid.ac/institutes/grid.458518.5", 
              "name": [
                "CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tang", 
            "givenName": "Chun", 
            "id": "sg:person.01336444601.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336444601.01"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf00197809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001469691", 
              "https://doi.org/10.1007/bf00197809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00197809", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001469691", 
              "https://doi.org/10.1007/bf00197809"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0163660", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001497117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2016.05.041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001812178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2016.05.041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001812178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molcel.2016.05.041", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001812178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/anie.201106190", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001980045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pro.5560020406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001992122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/pro.5560020406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001992122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg3724", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004136167", 
              "https://doi.org/10.1038/nrg3724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-015-9981-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004886800", 
              "https://doi.org/10.1007/s10858-015-9981-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7554/elife.18434", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006665146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature18298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007258407", 
              "https://doi.org/10.1038/nature18298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl589", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012374959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv1036", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014018589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.3162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014163319", 
              "https://doi.org/10.1038/nsmb.3162"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.3140", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016177535", 
              "https://doi.org/10.1038/nsmb.3140"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr300630k", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023889337"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.celrep.2014.05.048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024360226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.celrep.2014.05.048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024360226"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbapap.2010.10.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025219735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nchembio.1432", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027168512", 
              "https://doi.org/10.1038/nchembio.1432"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cr.2014.3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027229236", 
              "https://doi.org/10.1038/cr.2014.3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0022-2836(77)90110-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028534203"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2014.03.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029294049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2006.10.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032008527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.chom.2016.09.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033066503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sbi.2016.05.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033778800"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2010.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035394030"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-009-9333-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037424361", 
              "https://doi.org/10.1007/s10858-009-9333-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-009-9333-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037424361", 
              "https://doi.org/10.1007/s10858-009-9333-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10858-009-9333-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037424361", 
              "https://doi.org/10.1007/s10858-009-9333-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00228148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037775127", 
              "https://doi.org/10.1007/bf00228148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00228148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037775127", 
              "https://doi.org/10.1007/bf00228148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00228148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037775127", 
              "https://doi.org/10.1007/bf00228148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bj20060854", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040533437"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bj20060854", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040533437"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040794705", 
              "https://doi.org/10.1038/nature11112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature19342", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043394961", 
              "https://doi.org/10.1038/nature19342"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2005.10.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044776169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri.2016.129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046329564", 
              "https://doi.org/10.1038/nri.2016.129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bbapap.2015.04.009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046469941"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/anie.201405976", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048375977"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncb2902", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049362451", 
              "https://doi.org/10.1038/ncb2902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncb2902", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049362451", 
              "https://doi.org/10.1038/ncb2902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.108.058883", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049551866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1195380", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050910759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bies.201500104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051949633"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5114/wo.2014.47136", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052153484"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature20568", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052617207", 
              "https://doi.org/10.1038/nature20568"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acschembio.6b00960", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055135396"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi00449a003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055176681"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi026988m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055196509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi026988m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055196509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ct1002626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055423535"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ct1002626", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055423535"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja00076a099", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055704798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/15476286.2017.1282025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1079401228"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymeth.2017.03.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084113370"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ymeth.2017.03.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084113370"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature21671", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084128566", 
              "https://doi.org/10.1038/nature21671"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2017.05.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086034285"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1107/s1600576717007786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086274400"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acs.biochem.7b00484", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090748882"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ni.3830", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091371486", 
              "https://doi.org/10.1038/ni.3830"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ni.3830", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091371486", 
              "https://doi.org/10.1038/ni.3830"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2017.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091979629"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2017.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091979629"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04", 
        "datePublishedReg": "2019-04-01", 
        "description": "N6-methyladenosine (m6A), a ubiquitous RNA modification, is installed by METTL3-METTL14 complex. The structure of the heterodimeric complex between the methyltransferase domains (MTDs) of METTL3 and METTL14 has been previously determined. However, the MTDs alone possess no enzymatic activity. Here we present the solution structure for the zinc finger domain (ZFD) of METTL3, the inclusion of which fulfills the methyltransferase activity of METTL3-METTL14. We show that the ZFD specifically binds to an RNA containing 5'-GGACU-3' consensus sequence, but does not to one without. The ZFD thus serves as the target recognition domain, a structural feature previously shown for DNA methyltransferases, and cooperates with the MTDs of METTL3-METTL14 for catalysis. However, the interaction between the ZFD and the specific RNA is extremely weak, with the binding affinity at several hundred micromolar under physiological conditions. The ZFD contains two CCCH-type zinc fingers connected by an anti-parallel \u03b2-sheet. Mutational analysis and NMR titrations have mapped the functional interface to a contiguous surface. As a division of labor, the RNA-binding interface comprises basic residues from zinc finger 1 and hydrophobic residues from \u03b2-sheet and zinc finger 2. Further we show that the linker between the ZFD and MTD of METTL3 is flexible but partially folded, which may permit the cooperation between the two domains during catalysis. Together, the structural characterization of METTL3 ZFD paves the way to elucidate the atomic details of the entire process of RNA m6A modification.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s13238-018-0518-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1043601", 
            "issn": [
              "1674-800X", 
              "1674-8018"
            ], 
            "name": "Protein & Cell", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "name": "Solution structure of the RNA recognition domain of METTL3-METTL14 N6-methyladenosine methyltransferase", 
        "pagination": "272-284", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s13238-018-0518-7"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "d41504d45776be64049b6537e98e096e2cef74d2784dd9eb9db80c45bb5334e7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1101535223"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101532368"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29542011"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s13238-018-0518-7", 
          "https://app.dimensions.ai/details/publication/pub.1101535223"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:02", 
        "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/v90/0000000375_0000000375/records_91453_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs13238-018-0518-7"
      }
    ]
     

    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.10.1007/s13238-018-0518-7'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13238-018-0518-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13238-018-0518-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13238-018-0518-7'


     

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

    313 TRIPLES      21 PREDICATES      81 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s13238-018-0518-7 schema:about anzsrc-for:06
    2 anzsrc-for:0601
    3 schema:author N0b9cf77bce24469899b465b22057d0ec
    4 schema:citation sg:pub.10.1007/bf00197809
    5 sg:pub.10.1007/bf00228148
    6 sg:pub.10.1007/s10858-009-9333-z
    7 sg:pub.10.1007/s10858-015-9981-0
    8 sg:pub.10.1038/cr.2014.3
    9 sg:pub.10.1038/nature11112
    10 sg:pub.10.1038/nature18298
    11 sg:pub.10.1038/nature19342
    12 sg:pub.10.1038/nature20568
    13 sg:pub.10.1038/nature21671
    14 sg:pub.10.1038/ncb2902
    15 sg:pub.10.1038/nchembio.1432
    16 sg:pub.10.1038/ni.3830
    17 sg:pub.10.1038/nrg3724
    18 sg:pub.10.1038/nri.2016.129
    19 sg:pub.10.1038/nsmb.3140
    20 sg:pub.10.1038/nsmb.3162
    21 https://doi.org/10.1002/anie.201106190
    22 https://doi.org/10.1002/anie.201405976
    23 https://doi.org/10.1002/bies.201500104
    24 https://doi.org/10.1002/pro.5560020406
    25 https://doi.org/10.1016/0022-2836(77)90110-3
    26 https://doi.org/10.1016/j.bbapap.2010.10.012
    27 https://doi.org/10.1016/j.bbapap.2015.04.009
    28 https://doi.org/10.1016/j.cell.2017.05.045
    29 https://doi.org/10.1016/j.cell.2017.09.003
    30 https://doi.org/10.1016/j.celrep.2014.05.048
    31 https://doi.org/10.1016/j.chom.2016.09.015
    32 https://doi.org/10.1016/j.jmr.2006.10.003
    33 https://doi.org/10.1016/j.molcel.2016.05.041
    34 https://doi.org/10.1016/j.pnmrs.2005.10.001
    35 https://doi.org/10.1016/j.pnmrs.2010.10.001
    36 https://doi.org/10.1016/j.pnmrs.2014.03.001
    37 https://doi.org/10.1016/j.sbi.2016.05.021
    38 https://doi.org/10.1016/j.ymeth.2017.03.015
    39 https://doi.org/10.1021/acs.biochem.7b00484
    40 https://doi.org/10.1021/acschembio.6b00960
    41 https://doi.org/10.1021/bi00449a003
    42 https://doi.org/10.1021/bi026988m
    43 https://doi.org/10.1021/ct1002626
    44 https://doi.org/10.1021/ja00076a099
    45 https://doi.org/10.1021/pr300630k
    46 https://doi.org/10.1042/bj20060854
    47 https://doi.org/10.1080/15476286.2017.1282025
    48 https://doi.org/10.1093/bioinformatics/btl589
    49 https://doi.org/10.1093/nar/gkv1036
    50 https://doi.org/10.1105/tpc.108.058883
    51 https://doi.org/10.1107/s1600576717007786
    52 https://doi.org/10.1126/science.1195380
    53 https://doi.org/10.1371/journal.pone.0163660
    54 https://doi.org/10.5114/wo.2014.47136
    55 https://doi.org/10.7554/elife.18434
    56 schema:datePublished 2019-04
    57 schema:datePublishedReg 2019-04-01
    58 schema:description N<sup>6</sup>-methyladenosine (m<sup>6</sup>A), a ubiquitous RNA modification, is installed by METTL3-METTL14 complex. The structure of the heterodimeric complex between the methyltransferase domains (MTDs) of METTL3 and METTL14 has been previously determined. However, the MTDs alone possess no enzymatic activity. Here we present the solution structure for the zinc finger domain (ZFD) of METTL3, the inclusion of which fulfills the methyltransferase activity of METTL3-METTL14. We show that the ZFD specifically binds to an RNA containing 5'-GGACU-3' consensus sequence, but does not to one without. The ZFD thus serves as the target recognition domain, a structural feature previously shown for DNA methyltransferases, and cooperates with the MTDs of METTL3-METTL14 for catalysis. However, the interaction between the ZFD and the specific RNA is extremely weak, with the binding affinity at several hundred micromolar under physiological conditions. The ZFD contains two CCCH-type zinc fingers connected by an anti-parallel β-sheet. Mutational analysis and NMR titrations have mapped the functional interface to a contiguous surface. As a division of labor, the RNA-binding interface comprises basic residues from zinc finger 1 and hydrophobic residues from β-sheet and zinc finger 2. Further we show that the linker between the ZFD and MTD of METTL3 is flexible but partially folded, which may permit the cooperation between the two domains during catalysis. Together, the structural characterization of METTL3 ZFD paves the way to elucidate the atomic details of the entire process of RNA m<sup>6</sup>A modification.
    59 schema:genre research_article
    60 schema:inLanguage en
    61 schema:isAccessibleForFree true
    62 schema:isPartOf N37ca7bdde2944b90b48200e63617e61b
    63 Nf6dde566db824b76998b1d40bdd0d4f1
    64 sg:journal.1043601
    65 schema:name Solution structure of the RNA recognition domain of METTL3-METTL14 N6-methyladenosine methyltransferase
    66 schema:pagination 272-284
    67 schema:productId N6d8061340a4246029768492f5428700e
    68 N88b3e4926d0d45f7b2e542999f44f4e1
    69 N976afac6fa3c4b019b2f0a4decbf526f
    70 Nc19ed0b209f04c0ab0af8fd7821043f5
    71 Nef83268ee62148d3998b7420028383e0
    72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101535223
    73 https://doi.org/10.1007/s13238-018-0518-7
    74 schema:sdDatePublished 2019-04-15T09:02
    75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    76 schema:sdPublisher N23602c5a8c104e6cba9af39031c90184
    77 schema:url https://link.springer.com/10.1007%2Fs13238-018-0518-7
    78 sgo:license sg:explorer/license/
    79 sgo:sdDataset articles
    80 rdf:type schema:ScholarlyArticle
    81 N0b9cf77bce24469899b465b22057d0ec rdf:first sg:person.012315216761.25
    82 rdf:rest Nfe99efed60e643388a59d8315ce8c9cf
    83 N23602c5a8c104e6cba9af39031c90184 schema:name Springer Nature - SN SciGraph project
    84 rdf:type schema:Organization
    85 N37ca7bdde2944b90b48200e63617e61b schema:volumeNumber 10
    86 rdf:type schema:PublicationVolume
    87 N3dbc7383e9cd4912a60fe95c195d8c20 rdf:first N50c373b9d16e4adaa2f419cb94f8d115
    88 rdf:rest N72ed985df5694403957ff06d0605ae7e
    89 N50c373b9d16e4adaa2f419cb94f8d115 schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    90 schema:familyName Yang
    91 schema:givenName Shuai
    92 rdf:type schema:Person
    93 N6d8061340a4246029768492f5428700e schema:name doi
    94 schema:value 10.1007/s13238-018-0518-7
    95 rdf:type schema:PropertyValue
    96 N72ed985df5694403957ff06d0605ae7e rdf:first Nd174d61ba3974f059512d3b99e6fe6cd
    97 rdf:rest Nfcaef23dd0be4cafb413c192f8f35244
    98 N7b6bcf53f4d64192bdb33cf50e99a173 rdf:first sg:person.01304752153.40
    99 rdf:rest Na0d927879ace4e62881263960969a0f5
    100 N88b3e4926d0d45f7b2e542999f44f4e1 schema:name nlm_unique_id
    101 schema:value 101532368
    102 rdf:type schema:PropertyValue
    103 N976afac6fa3c4b019b2f0a4decbf526f schema:name readcube_id
    104 schema:value d41504d45776be64049b6537e98e096e2cef74d2784dd9eb9db80c45bb5334e7
    105 rdf:type schema:PropertyValue
    106 Na0d927879ace4e62881263960969a0f5 rdf:first sg:person.012156201217.18
    107 rdf:rest N3dbc7383e9cd4912a60fe95c195d8c20
    108 Nadf8d6b21fea48aab8061321d9ec146f rdf:first sg:person.01210441453.47
    109 rdf:rest Nc344596147844d3daae38f79074e9141
    110 Nc19ed0b209f04c0ab0af8fd7821043f5 schema:name pubmed_id
    111 schema:value 29542011
    112 rdf:type schema:PropertyValue
    113 Nc344596147844d3daae38f79074e9141 rdf:first sg:person.01022007136.97
    114 rdf:rest Ne8a68303d7e74446b5e871bf65f0232f
    115 Nd174d61ba3974f059512d3b99e6fe6cd schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    116 schema:familyName Zhu
    117 schema:givenName Yue-Ling
    118 rdf:type schema:Person
    119 Ne8a68303d7e74446b5e871bf65f0232f rdf:first sg:person.0627020270.96
    120 rdf:rest Nf240033729714a9d822fbdb96b141769
    121 Nef83268ee62148d3998b7420028383e0 schema:name dimensions_id
    122 schema:value pub.1101535223
    123 rdf:type schema:PropertyValue
    124 Nf240033729714a9d822fbdb96b141769 rdf:first sg:person.01336444601.01
    125 rdf:rest rdf:nil
    126 Nf6dde566db824b76998b1d40bdd0d4f1 schema:issueNumber 4
    127 rdf:type schema:PublicationIssue
    128 Nfcaef23dd0be4cafb413c192f8f35244 rdf:first sg:person.01314736236.80
    129 rdf:rest Nadf8d6b21fea48aab8061321d9ec146f
    130 Nfe99efed60e643388a59d8315ce8c9cf rdf:first sg:person.01243242637.68
    131 rdf:rest N7b6bcf53f4d64192bdb33cf50e99a173
    132 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    133 schema:name Biological Sciences
    134 rdf:type schema:DefinedTerm
    135 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
    136 schema:name Biochemistry and Cell Biology
    137 rdf:type schema:DefinedTerm
    138 sg:journal.1043601 schema:issn 1674-800X
    139 1674-8018
    140 schema:name Protein & Cell
    141 rdf:type schema:Periodical
    142 sg:person.01022007136.97 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    143 schema:familyName Zou
    144 schema:givenName Tingting
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022007136.97
    146 rdf:type schema:Person
    147 sg:person.01210441453.47 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    148 schema:familyName Zhang
    149 schema:givenName Delin
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210441453.47
    151 rdf:type schema:Person
    152 sg:person.012156201217.18 schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    153 schema:familyName Qin
    154 schema:givenName Ling-Yun
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012156201217.18
    156 rdf:type schema:Person
    157 sg:person.012315216761.25 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    158 schema:familyName Huang
    159 schema:givenName Jinbo
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012315216761.25
    161 rdf:type schema:Person
    162 sg:person.01243242637.68 schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    163 schema:familyName Dong
    164 schema:givenName Xu
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243242637.68
    166 rdf:type schema:Person
    167 sg:person.01304752153.40 schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    168 schema:familyName Gong
    169 schema:givenName Zhou
    170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304752153.40
    171 rdf:type schema:Person
    172 sg:person.01314736236.80 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    173 schema:familyName Wang
    174 schema:givenName Xiang
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314736236.80
    176 rdf:type schema:Person
    177 sg:person.01336444601.01 schema:affiliation https://www.grid.ac/institutes/grid.458518.5
    178 schema:familyName Tang
    179 schema:givenName Chun
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01336444601.01
    181 rdf:type schema:Person
    182 sg:person.0627020270.96 schema:affiliation https://www.grid.ac/institutes/grid.35155.37
    183 schema:familyName Yin
    184 schema:givenName Ping
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627020270.96
    186 rdf:type schema:Person
    187 sg:pub.10.1007/bf00197809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001469691
    188 https://doi.org/10.1007/bf00197809
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1007/bf00228148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037775127
    191 https://doi.org/10.1007/bf00228148
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1007/s10858-009-9333-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037424361
    194 https://doi.org/10.1007/s10858-009-9333-z
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s10858-015-9981-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004886800
    197 https://doi.org/10.1007/s10858-015-9981-0
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1038/cr.2014.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027229236
    200 https://doi.org/10.1038/cr.2014.3
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/nature11112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040794705
    203 https://doi.org/10.1038/nature11112
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/nature18298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007258407
    206 https://doi.org/10.1038/nature18298
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/nature19342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043394961
    209 https://doi.org/10.1038/nature19342
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/nature20568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052617207
    212 https://doi.org/10.1038/nature20568
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/nature21671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084128566
    215 https://doi.org/10.1038/nature21671
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1038/ncb2902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049362451
    218 https://doi.org/10.1038/ncb2902
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/nchembio.1432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027168512
    221 https://doi.org/10.1038/nchembio.1432
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/ni.3830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091371486
    224 https://doi.org/10.1038/ni.3830
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1038/nrg3724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004136167
    227 https://doi.org/10.1038/nrg3724
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/nri.2016.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046329564
    230 https://doi.org/10.1038/nri.2016.129
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/nsmb.3140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016177535
    233 https://doi.org/10.1038/nsmb.3140
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/nsmb.3162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014163319
    236 https://doi.org/10.1038/nsmb.3162
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1002/anie.201106190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001980045
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1002/anie.201405976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048375977
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1002/bies.201500104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051949633
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1002/pro.5560020406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001992122
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1016/0022-2836(77)90110-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028534203
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.bbapap.2010.10.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025219735
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/j.bbapap.2015.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046469941
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1016/j.cell.2017.05.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086034285
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1016/j.cell.2017.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091979629
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1016/j.celrep.2014.05.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024360226
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/j.chom.2016.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033066503
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/j.jmr.2006.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032008527
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/j.molcel.2016.05.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001812178
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/j.pnmrs.2005.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044776169
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1016/j.pnmrs.2010.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035394030
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1016/j.pnmrs.2014.03.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029294049
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/j.sbi.2016.05.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033778800
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/j.ymeth.2017.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084113370
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1021/acs.biochem.7b00484 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090748882
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1021/acschembio.6b00960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055135396
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1021/bi00449a003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055176681
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1021/bi026988m schema:sameAs https://app.dimensions.ai/details/publication/pub.1055196509
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1021/ct1002626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055423535
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1021/ja00076a099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055704798
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1021/pr300630k schema:sameAs https://app.dimensions.ai/details/publication/pub.1023889337
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1042/bj20060854 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040533437
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1080/15476286.2017.1282025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079401228
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1093/bioinformatics/btl589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012374959
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1093/nar/gkv1036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014018589
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1105/tpc.108.058883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049551866
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1107/s1600576717007786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086274400
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1126/science.1195380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050910759
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1371/journal.pone.0163660 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001497117
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.5114/wo.2014.47136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052153484
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.7554/elife.18434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006665146
    307 rdf:type schema:CreativeWork
    308 https://www.grid.ac/institutes/grid.35155.37 schema:alternateName Huazhong Agricultural University
    309 schema:name National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, 430070, Wuhan, China
    310 rdf:type schema:Organization
    311 https://www.grid.ac/institutes/grid.458518.5 schema:alternateName Wuhan Institute of Physics and Mathematics
    312 schema:name CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, and National Center for Magnetic Resonance at Wuhan, Wuhan Institute of Physics and Mathematics of the Chinese Academy of Sciences, 430071, Wuhan, China
    313 rdf:type schema:Organization
     




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


    ...