Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-12

AUTHORS

Qun Pan, Ofer Shai, Leo J Lee, Brendan J Frey, Benjamin J Blencowe

ABSTRACT

We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in approximately 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from approximately 95% of multiexon genes undergo alternative splicing and that there are approximately 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels. More... »

PAGES

1413-1415

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng.259

DOI

http://dx.doi.org/10.1038/ng.259

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050283464

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18978789


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alternative Splicing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA Splice Sites", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Messenger", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, RNA", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Banting and Best Department of Medical Research, University of Toronto, Toronto, Canada."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pan", 
        "givenName": "Qun", 
        "id": "sg:person.0671076330.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671076330.60"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Shai", 
        "givenName": "Ofer", 
        "id": "sg:person.01035002712.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035002712.13"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Lee", 
        "givenName": "Leo J", 
        "id": "sg:person.01221576514.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221576514.83"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Frey", 
        "givenName": "Brendan J", 
        "id": "sg:person.01113377655.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113377655.19"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Blencowe", 
        "givenName": "Benjamin J", 
        "id": "sg:person.0602373274.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602373274.37"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.molcel.2004.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000823839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0400782101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002732260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003050860", 
          "https://doi.org/10.1186/1471-2164-7-273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm1645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006009626", 
          "https://doi.org/10.1038/nrm1645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm1645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006009626", 
          "https://doi.org/10.1038/nrm1645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm1645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006009626", 
          "https://doi.org/10.1038/nrm1645"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1090100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009574243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2006.06.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013282821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026547515", 
          "https://doi.org/10.1186/1471-2164-7-246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1160342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042163407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2004-5-10-r74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044654895", 
          "https://doi.org/10.1186/gb-2004-5-10-r74"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.r700033200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045271959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045381177", 
          "https://doi.org/10.1038/nmeth.1226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048586936", 
          "https://doi.org/10.1038/nmeth.1223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/jbiol16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052662045", 
          "https://doi.org/10.1186/jbiol16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-77374-2_5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077626944", 
          "https://doi.org/10.1007/978-0-387-77374-2_5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-77374-2_5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077626944", 
          "https://doi.org/10.1007/978-0-387-77374-2_5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-77374-2_5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077626944", 
          "https://doi.org/10.1007/978-0-387-77374-2_5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/physrev.1996.76.2.371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082881862"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-12", 
    "datePublishedReg": "2008-12-01", 
    "description": "We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in approximately 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from approximately 95% of multiexon genes undergo alternative splicing and that there are approximately 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ng.259", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1103138", 
        "issn": [
          "1061-4036", 
          "1546-1718"
        ], 
        "name": "Nature Genetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "40"
      }
    ], 
    "name": "Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing", 
    "pagination": "1413-1415", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ef89196bab48d6e003915db30a2b8e1f496be81f85abc3b367477eba9252dabd"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18978789"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9216904"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ng.259"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050283464"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ng.259", 
      "https://app.dimensions.ai/details/publication/pub.1050283464"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:12", 
    "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_8693_00000426.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/ng/journal/v40/n12/full/ng.259.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/ng.259'

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/ng.259'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng.259'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng.259'


 

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

170 TRIPLES      21 PREDICATES      50 URIs      27 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ng.259 schema:about N0e32800b6d1c40e2adbca20bd74ff1e8
2 N33587b3e83134d748902976644bec31a
3 N63441933a49e422fa24e7cdb9508a9f0
4 N65fd52fb1e1842a1ac090c76833ba2b5
5 N8e8bd69b6c39409cb4ee00251fbfbc08
6 Nb68ab2bd5a914799b47968b454606935
7 anzsrc-for:06
8 anzsrc-for:0604
9 schema:author N9b72350427b74f0dadeb767c470181b9
10 schema:citation sg:pub.10.1007/978-0-387-77374-2_5
11 sg:pub.10.1038/nmeth.1223
12 sg:pub.10.1038/nmeth.1226
13 sg:pub.10.1038/nrm1645
14 sg:pub.10.1186/1471-2164-7-246
15 sg:pub.10.1186/1471-2164-7-273
16 sg:pub.10.1186/gb-2004-5-10-r74
17 sg:pub.10.1186/jbiol16
18 https://doi.org/10.1016/j.cell.2006.06.023
19 https://doi.org/10.1016/j.molcel.2004.12.004
20 https://doi.org/10.1073/pnas.0400782101
21 https://doi.org/10.1074/jbc.r700033200
22 https://doi.org/10.1126/science.1090100
23 https://doi.org/10.1126/science.1160342
24 https://doi.org/10.1152/physrev.1996.76.2.371
25 schema:datePublished 2008-12
26 schema:datePublishedReg 2008-12-01
27 schema:description We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in approximately 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from approximately 95% of multiexon genes undergo alternative splicing and that there are approximately 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf Nc72a065013404005a1a5ee0df701dee6
32 Nc77918d0c9da4be88adc102c11150577
33 sg:journal.1103138
34 schema:name Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing
35 schema:pagination 1413-1415
36 schema:productId N3e538530bc7e45178acd8c95d157be69
37 N439c0c20890946f38c240cc086ae5df7
38 N873405d570e940d3820cc9e1c357fd6f
39 N9b137fa9a1944abdab0e725a79c53441
40 Nd1af72fbf4d44b33865200f58b688952
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050283464
42 https://doi.org/10.1038/ng.259
43 schema:sdDatePublished 2019-04-10T23:12
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher N3f0ed0963bd2410fadafa0d3b1a29652
46 schema:url http://www.nature.com/ng/journal/v40/n12/full/ng.259.html
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N0e32800b6d1c40e2adbca20bd74ff1e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
51 schema:name Humans
52 rdf:type schema:DefinedTerm
53 N2fb8a422302146c8a1103a056631b908 rdf:first sg:person.01113377655.19
54 rdf:rest N96475a18f469421d8e3b6156c076819b
55 N2fe7bd015f234df0839ae33467168051 rdf:first sg:person.01221576514.83
56 rdf:rest N2fb8a422302146c8a1103a056631b908
57 N33587b3e83134d748902976644bec31a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
58 schema:name Gene Expression Profiling
59 rdf:type schema:DefinedTerm
60 N3e538530bc7e45178acd8c95d157be69 schema:name nlm_unique_id
61 schema:value 9216904
62 rdf:type schema:PropertyValue
63 N3f0ed0963bd2410fadafa0d3b1a29652 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N439c0c20890946f38c240cc086ae5df7 schema:name doi
66 schema:value 10.1038/ng.259
67 rdf:type schema:PropertyValue
68 N4e8cdf6a15134eb19e934fea8506328f rdf:first sg:person.01035002712.13
69 rdf:rest N2fe7bd015f234df0839ae33467168051
70 N63441933a49e422fa24e7cdb9508a9f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name RNA Splice Sites
72 rdf:type schema:DefinedTerm
73 N65fd52fb1e1842a1ac090c76833ba2b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Alternative Splicing
75 rdf:type schema:DefinedTerm
76 N873405d570e940d3820cc9e1c357fd6f schema:name readcube_id
77 schema:value ef89196bab48d6e003915db30a2b8e1f496be81f85abc3b367477eba9252dabd
78 rdf:type schema:PropertyValue
79 N8e8bd69b6c39409cb4ee00251fbfbc08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name RNA, Messenger
81 rdf:type schema:DefinedTerm
82 N96475a18f469421d8e3b6156c076819b rdf:first sg:person.0602373274.37
83 rdf:rest rdf:nil
84 N9b137fa9a1944abdab0e725a79c53441 schema:name pubmed_id
85 schema:value 18978789
86 rdf:type schema:PropertyValue
87 N9b72350427b74f0dadeb767c470181b9 rdf:first sg:person.0671076330.60
88 rdf:rest N4e8cdf6a15134eb19e934fea8506328f
89 Nb68ab2bd5a914799b47968b454606935 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Sequence Analysis, RNA
91 rdf:type schema:DefinedTerm
92 Nc72a065013404005a1a5ee0df701dee6 schema:volumeNumber 40
93 rdf:type schema:PublicationVolume
94 Nc77918d0c9da4be88adc102c11150577 schema:issueNumber 12
95 rdf:type schema:PublicationIssue
96 Nd1af72fbf4d44b33865200f58b688952 schema:name dimensions_id
97 schema:value pub.1050283464
98 rdf:type schema:PropertyValue
99 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
100 schema:name Biological Sciences
101 rdf:type schema:DefinedTerm
102 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
103 schema:name Genetics
104 rdf:type schema:DefinedTerm
105 sg:journal.1103138 schema:issn 1061-4036
106 1546-1718
107 schema:name Nature Genetics
108 rdf:type schema:Periodical
109 sg:person.01035002712.13 schema:familyName Shai
110 schema:givenName Ofer
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035002712.13
112 rdf:type schema:Person
113 sg:person.01113377655.19 schema:familyName Frey
114 schema:givenName Brendan J
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113377655.19
116 rdf:type schema:Person
117 sg:person.01221576514.83 schema:familyName Lee
118 schema:givenName Leo J
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221576514.83
120 rdf:type schema:Person
121 sg:person.0602373274.37 schema:familyName Blencowe
122 schema:givenName Benjamin J
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602373274.37
124 rdf:type schema:Person
125 sg:person.0671076330.60 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
126 schema:familyName Pan
127 schema:givenName Qun
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671076330.60
129 rdf:type schema:Person
130 sg:pub.10.1007/978-0-387-77374-2_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077626944
131 https://doi.org/10.1007/978-0-387-77374-2_5
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/nmeth.1223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048586936
134 https://doi.org/10.1038/nmeth.1223
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/nmeth.1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045381177
137 https://doi.org/10.1038/nmeth.1226
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/nrm1645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006009626
140 https://doi.org/10.1038/nrm1645
141 rdf:type schema:CreativeWork
142 sg:pub.10.1186/1471-2164-7-246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026547515
143 https://doi.org/10.1186/1471-2164-7-246
144 rdf:type schema:CreativeWork
145 sg:pub.10.1186/1471-2164-7-273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003050860
146 https://doi.org/10.1186/1471-2164-7-273
147 rdf:type schema:CreativeWork
148 sg:pub.10.1186/gb-2004-5-10-r74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044654895
149 https://doi.org/10.1186/gb-2004-5-10-r74
150 rdf:type schema:CreativeWork
151 sg:pub.10.1186/jbiol16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052662045
152 https://doi.org/10.1186/jbiol16
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.cell.2006.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013282821
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.molcel.2004.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000823839
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1073/pnas.0400782101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002732260
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1074/jbc.r700033200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045271959
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1126/science.1090100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009574243
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1126/science.1160342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042163407
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1152/physrev.1996.76.2.371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082881862
167 rdf:type schema:CreativeWork
168 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
169 schema:name Banting and Best Department of Medical Research, University of Toronto, Toronto, Canada.
170 rdf:type schema:Organization
 




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


...