Nucleotide sequence of a cDNA clone encoding human preproinsulin View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1979-11

AUTHORS

Graeme I. Bell, William F. Swain, Raymond Pictet, Barbara Cordell, Howard M. Goodman, William J. Rutter

ABSTRACT

Insulin consists of two polypeptide chains, A (21 amino acids) and B (30 amino acids), linked by disulphide bonds. Both chains are derived from one precursor, proinsulin, which includes a connecting peptide (C) between the A and B chains, and which is excised before the secretion of insulin from the pancreatic B cells1. The observation that the C-peptide varies between species, in contrast to the highly conserved A and B sequences1–3, is consistent with the theory that it serves a purely structural function in insulin synthesis. During in vitro translation of insulin mRNA, a larger peptide containing about 25 additional residues at the N-terminal end (preproinsulin) is the primary product4–7. The prepeptide is cleaved to leave proinsulin during transport into the endoplasmic reticulum and is thought to direct this process specifically8. Using automated amino acid sequence analysis, the partial amino acid sequences of the prepeptide regions of bovine, rat, sea raven and anglerfish preproinsulin have been established4,5,7. The nucleotide sequences of the cloned cDNA and gene coding for rat insulin I have confirmed the amino acid sequence of rat proinsulin I, and have also predicted the sequence of the prepeptide9–11. Like the prepeptides of other secreted proteins, this prepeptide has a prominent hydrophobic region12. We report here the cloning of a cDNA prepared from human insulin mRNA and an analysis of the nucleotide sequence of the cloned molecule including the region coding for the prepeptide and portions of the 5′- and the 3′-untranslated regions of the molecule. We also compare the structure of the human molecule with the previously reported rat mRNA9–11. More... »

PAGES

525-527

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/282525a0

DOI

http://dx.doi.org/10.1038/282525a0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036535606

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/503234


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/2008/1101", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Biochemistry and Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Amino Acid Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Base Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Recombinant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proinsulin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Precursors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Messenger", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rats", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Bell", 
        "givenName": "Graeme I.", 
        "id": "sg:person.016340630557.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016340630557.53"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Swain", 
        "givenName": "William F.", 
        "id": "sg:person.0666116457.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666116457.73"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Pictet", 
        "givenName": "Raymond", 
        "id": "sg:person.055655157.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.055655157.47"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Cordell", 
        "givenName": "Barbara", 
        "id": "sg:person.01370310576.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370310576.20"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Goodman", 
        "givenName": "Howard M.", 
        "id": "sg:person.0605227220.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605227220.62"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Rutter", 
        "givenName": "William J.", 
        "id": "sg:person.01275267754.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275267754.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.75.8.3727", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001128114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/187483a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004717832", 
          "https://doi.org/10.1038/187483a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-291x(77)90501-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005896953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.12.5350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011079351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/273504a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011569019", 
          "https://doi.org/10.1038/273504a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.bi.43.070174.002453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012585684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/181483a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014642569", 
          "https://doi.org/10.1038/181483a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.75.8.3737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023439734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.67.3.835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026918290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.73.6.1964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033522878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(79)90070-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036762735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/263211a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036766341", 
          "https://doi.org/10.1038/263211a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/270486a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038972867", 
          "https://doi.org/10.1038/270486a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.72.12.5016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040139446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.12.5618", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040237657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.5.2059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041424719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.12.5598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042476476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.74.6.2432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043573604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/279679a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047841974", 
          "https://doi.org/10.1038/279679a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00699a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055185696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi00699a002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055185697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.325648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062601771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.377496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062621416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080809169", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081778243", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083088578", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1979-11", 
    "datePublishedReg": "1979-11-01", 
    "description": "Insulin consists of two polypeptide chains, A (21 amino acids) and B (30 amino acids), linked by disulphide bonds. Both chains are derived from one precursor, proinsulin, which includes a connecting peptide (C) between the A and B chains, and which is excised before the secretion of insulin from the pancreatic B cells1. The observation that the C-peptide varies between species, in contrast to the highly conserved A and B sequences1\u20133, is consistent with the theory that it serves a purely structural function in insulin synthesis. During in vitro translation of insulin mRNA, a larger peptide containing about 25 additional residues at the N-terminal end (preproinsulin) is the primary product4\u20137. The prepeptide is cleaved to leave proinsulin during transport into the endoplasmic reticulum and is thought to direct this process specifically8. Using automated amino acid sequence analysis, the partial amino acid sequences of the prepeptide regions of bovine, rat, sea raven and anglerfish preproinsulin have been established4,5,7. The nucleotide sequences of the cloned cDNA and gene coding for rat insulin I have confirmed the amino acid sequence of rat proinsulin I, and have also predicted the sequence of the prepeptide9\u201311. Like the prepeptides of other secreted proteins, this prepeptide has a prominent hydrophobic region12. We report here the cloning of a cDNA prepared from human insulin mRNA and an analysis of the nucleotide sequence of the cloned molecule including the region coding for the prepeptide and portions of the 5\u2032- and the 3\u2032-untranslated regions of the molecule. We also compare the structure of the human molecule with the previously reported rat mRNA9\u201311.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/282525a0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5738", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "282"
      }
    ], 
    "name": "Nucleotide sequence of a cDNA clone encoding human preproinsulin", 
    "pagination": "525-527", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ae0a446628e80912c1953784ab7b744bb4f96680becd2b468e00c83366c12cd2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "503234"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/282525a0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036535606"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/282525a0", 
      "https://app.dimensions.ai/details/publication/pub.1036535606"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:22", 
    "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/v90/0000000362_0000000362/records_87083_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/282525a0"
  }
]
 

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.10.1038/282525a0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/282525a0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/282525a0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/282525a0'


 

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

212 TRIPLES      21 PREDICATES      64 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/282525a0 schema:about N018dfe59b7564c5bb4678d585efe8e65
2 N1ff79d6f16e94dc7b5dc9c8cf28f0376
3 N221fd252df71438eb27b60fccd49999c
4 N40cd285b08dc4ac884883aed64d39730
5 N6959fa0e88154162bd8f57e1e618ff5e
6 Na3410fe062b94d3181de3617ee129889
7 Nce2f66b263d14e46b782ecd6d7d811fe
8 Nef2c2e508b464d3792b1c044ac99627b
9 Nf8e8e338cb2c4cf182eef7e929515d37
10 anzsrc-for:11
11 anzsrc-for:1101
12 schema:author Naf7c1299ef42419488462d5e10b714d9
13 schema:citation sg:pub.10.1038/181483a0
14 sg:pub.10.1038/187483a0
15 sg:pub.10.1038/263211a0
16 sg:pub.10.1038/270486a0
17 sg:pub.10.1038/273504a0
18 sg:pub.10.1038/279679a0
19 https://app.dimensions.ai/details/publication/pub.1080809169
20 https://app.dimensions.ai/details/publication/pub.1081778243
21 https://app.dimensions.ai/details/publication/pub.1083088578
22 https://doi.org/10.1016/0006-291x(77)90501-0
23 https://doi.org/10.1016/0092-8674(79)90070-9
24 https://doi.org/10.1021/bi00699a001
25 https://doi.org/10.1021/bi00699a002
26 https://doi.org/10.1073/pnas.72.12.5016
27 https://doi.org/10.1073/pnas.73.6.1964
28 https://doi.org/10.1073/pnas.74.12.5350
29 https://doi.org/10.1073/pnas.74.12.5598
30 https://doi.org/10.1073/pnas.74.12.5618
31 https://doi.org/10.1073/pnas.74.5.2059
32 https://doi.org/10.1073/pnas.74.6.2432
33 https://doi.org/10.1073/pnas.75.8.3727
34 https://doi.org/10.1073/pnas.75.8.3737
35 https://doi.org/10.1083/jcb.67.3.835
36 https://doi.org/10.1126/science.325648
37 https://doi.org/10.1126/science.377496
38 https://doi.org/10.1146/annurev.bi.43.070174.002453
39 schema:datePublished 1979-11
40 schema:datePublishedReg 1979-11-01
41 schema:description Insulin consists of two polypeptide chains, A (21 amino acids) and B (30 amino acids), linked by disulphide bonds. Both chains are derived from one precursor, proinsulin, which includes a connecting peptide (C) between the A and B chains, and which is excised before the secretion of insulin from the pancreatic B cells1. The observation that the C-peptide varies between species, in contrast to the highly conserved A and B sequences1–3, is consistent with the theory that it serves a purely structural function in insulin synthesis. During in vitro translation of insulin mRNA, a larger peptide containing about 25 additional residues at the N-terminal end (preproinsulin) is the primary product4–7. The prepeptide is cleaved to leave proinsulin during transport into the endoplasmic reticulum and is thought to direct this process specifically8. Using automated amino acid sequence analysis, the partial amino acid sequences of the prepeptide regions of bovine, rat, sea raven and anglerfish preproinsulin have been established4,5,7. The nucleotide sequences of the cloned cDNA and gene coding for rat insulin I have confirmed the amino acid sequence of rat proinsulin I, and have also predicted the sequence of the prepeptide9–11. Like the prepeptides of other secreted proteins, this prepeptide has a prominent hydrophobic region12. We report here the cloning of a cDNA prepared from human insulin mRNA and an analysis of the nucleotide sequence of the cloned molecule including the region coding for the prepeptide and portions of the 5′- and the 3′-untranslated regions of the molecule. We also compare the structure of the human molecule with the previously reported rat mRNA9–11.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N97145b594700472d81b46e2e5430a2a2
46 Ncef16c8596c84168be0f2fb3db30245c
47 sg:journal.1018957
48 schema:name Nucleotide sequence of a cDNA clone encoding human preproinsulin
49 schema:pagination 525-527
50 schema:productId N77e9838675e1426c8c1db6900ed59acd
51 Nb38326eca7de4cc48ac3fed7f0cda37d
52 Nd0b634489c1148c497cfe4f524e86758
53 Nd3186c2c10ec4b24a106f2204a69a54b
54 Nf5503a8af4604076be1a7b88a54ee60b
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036535606
56 https://doi.org/10.1038/282525a0
57 schema:sdDatePublished 2019-04-11T12:22
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N9d9177583a414d4e8ba23195ab510362
60 schema:url http://www.nature.com/articles/282525a0
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N018dfe59b7564c5bb4678d585efe8e65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Proinsulin
66 rdf:type schema:DefinedTerm
67 N05a76f751537489e81dfd4ee18b68ac5 rdf:first sg:person.01370310576.20
68 rdf:rest N85852d3dda6f470eb81a05f7a549022c
69 N1ff79d6f16e94dc7b5dc9c8cf28f0376 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Animals
71 rdf:type schema:DefinedTerm
72 N221fd252df71438eb27b60fccd49999c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Protein Precursors
74 rdf:type schema:DefinedTerm
75 N40cd285b08dc4ac884883aed64d39730 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Base Sequence
77 rdf:type schema:DefinedTerm
78 N6959fa0e88154162bd8f57e1e618ff5e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Amino Acid Sequence
80 rdf:type schema:DefinedTerm
81 N69a7a1a9ba024cb8813dae03985716e6 rdf:first sg:person.055655157.47
82 rdf:rest N05a76f751537489e81dfd4ee18b68ac5
83 N77e9838675e1426c8c1db6900ed59acd schema:name pubmed_id
84 schema:value 503234
85 rdf:type schema:PropertyValue
86 N85852d3dda6f470eb81a05f7a549022c rdf:first sg:person.0605227220.62
87 rdf:rest Na4660732a84a4327841e181039e07ee6
88 N97145b594700472d81b46e2e5430a2a2 schema:issueNumber 5738
89 rdf:type schema:PublicationIssue
90 N9d9177583a414d4e8ba23195ab510362 schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 Na3410fe062b94d3181de3617ee129889 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name DNA, Recombinant
94 rdf:type schema:DefinedTerm
95 Na4660732a84a4327841e181039e07ee6 rdf:first sg:person.01275267754.53
96 rdf:rest rdf:nil
97 Naf7c1299ef42419488462d5e10b714d9 rdf:first sg:person.016340630557.53
98 rdf:rest Nea4382d3ae9e4f8caa186b836ec3b460
99 Nb38326eca7de4cc48ac3fed7f0cda37d schema:name doi
100 schema:value 10.1038/282525a0
101 rdf:type schema:PropertyValue
102 Nce2f66b263d14e46b782ecd6d7d811fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Rats
104 rdf:type schema:DefinedTerm
105 Ncef16c8596c84168be0f2fb3db30245c schema:volumeNumber 282
106 rdf:type schema:PublicationVolume
107 Nd0b634489c1148c497cfe4f524e86758 schema:name dimensions_id
108 schema:value pub.1036535606
109 rdf:type schema:PropertyValue
110 Nd3186c2c10ec4b24a106f2204a69a54b schema:name readcube_id
111 schema:value ae0a446628e80912c1953784ab7b744bb4f96680becd2b468e00c83366c12cd2
112 rdf:type schema:PropertyValue
113 Nea4382d3ae9e4f8caa186b836ec3b460 rdf:first sg:person.0666116457.73
114 rdf:rest N69a7a1a9ba024cb8813dae03985716e6
115 Nef2c2e508b464d3792b1c044ac99627b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Humans
117 rdf:type schema:DefinedTerm
118 Nf5503a8af4604076be1a7b88a54ee60b schema:name nlm_unique_id
119 schema:value 0410462
120 rdf:type schema:PropertyValue
121 Nf8e8e338cb2c4cf182eef7e929515d37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name RNA, Messenger
123 rdf:type schema:DefinedTerm
124 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
125 schema:name Medical and Health Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:1101 schema:inDefinedTermSet anzsrc-for:
128 schema:name Medical Biochemistry and Metabolomics
129 rdf:type schema:DefinedTerm
130 sg:journal.1018957 schema:issn 0090-0028
131 1476-4687
132 schema:name Nature
133 rdf:type schema:Periodical
134 sg:person.01275267754.53 schema:familyName Rutter
135 schema:givenName William J.
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275267754.53
137 rdf:type schema:Person
138 sg:person.01370310576.20 schema:familyName Cordell
139 schema:givenName Barbara
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370310576.20
141 rdf:type schema:Person
142 sg:person.016340630557.53 schema:familyName Bell
143 schema:givenName Graeme I.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016340630557.53
145 rdf:type schema:Person
146 sg:person.055655157.47 schema:familyName Pictet
147 schema:givenName Raymond
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.055655157.47
149 rdf:type schema:Person
150 sg:person.0605227220.62 schema:familyName Goodman
151 schema:givenName Howard M.
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605227220.62
153 rdf:type schema:Person
154 sg:person.0666116457.73 schema:familyName Swain
155 schema:givenName William F.
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0666116457.73
157 rdf:type schema:Person
158 sg:pub.10.1038/181483a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014642569
159 https://doi.org/10.1038/181483a0
160 rdf:type schema:CreativeWork
161 sg:pub.10.1038/187483a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004717832
162 https://doi.org/10.1038/187483a0
163 rdf:type schema:CreativeWork
164 sg:pub.10.1038/263211a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036766341
165 https://doi.org/10.1038/263211a0
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/270486a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038972867
168 https://doi.org/10.1038/270486a0
169 rdf:type schema:CreativeWork
170 sg:pub.10.1038/273504a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011569019
171 https://doi.org/10.1038/273504a0
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/279679a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047841974
174 https://doi.org/10.1038/279679a0
175 rdf:type schema:CreativeWork
176 https://app.dimensions.ai/details/publication/pub.1080809169 schema:CreativeWork
177 https://app.dimensions.ai/details/publication/pub.1081778243 schema:CreativeWork
178 https://app.dimensions.ai/details/publication/pub.1083088578 schema:CreativeWork
179 https://doi.org/10.1016/0006-291x(77)90501-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005896953
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/0092-8674(79)90070-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036762735
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1021/bi00699a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055185696
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1021/bi00699a002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055185697
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1073/pnas.72.12.5016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040139446
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1073/pnas.73.6.1964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033522878
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1073/pnas.74.12.5350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011079351
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1073/pnas.74.12.5598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042476476
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1073/pnas.74.12.5618 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040237657
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1073/pnas.74.5.2059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041424719
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1073/pnas.74.6.2432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043573604
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1073/pnas.75.8.3727 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001128114
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1073/pnas.75.8.3737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023439734
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1083/jcb.67.3.835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026918290
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1126/science.325648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062601771
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1126/science.377496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062621416
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1146/annurev.bi.43.070174.002453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012585684
212 rdf:type schema:CreativeWork
 




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


...