Toward a high-throughput approach to quantitative proteomic analysis: Expression-dependent protein identification by mass spectrometry View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-12-01

AUTHORS

Timothy J. Griffin, David K. M. Han, Steven P. Gygi, Beate Rist, Hookeun Lee, Ruedi Aebersold, Kenneth C. Parker

ABSTRACT

The isotope-coded affinity tag (ICAT) [1] technology enables the concurrent identification and comparative quantitative analysis of proteins present in biological samples such as cell and tissue extracts and biological fluids by mass spectrometry. The initial implementation of this technology was based on microcapillary chromatography coupled on-line with electrospray ionization tandem mass spectrometry. This implementation lacked the ability to select proteins for identification based on their relative abundance and therefore to focus on differentially expressed proteins. In order to improve the sample throughput of this technology, we have developed a two-step approach that is focused on those proteins for which the abundance changes between samples: First, a new software program for the automated quantification of ICAT reagent labeled peptides analyzed by microcapillary electrospray ionization time-of-flight mass spectrometry determines those peptides that differ in their abundance and second, these peptides are identified by tandem mass spectrometry using an electrospray quadrupole time-of flight mass spectrometer and sequence database searching. Results from the application of this approach to the analysis of differentially expressed proteins secreted from nontumorigenic human prostate epithelial cells and metastatic cancerous human prostate epithelial cells are shown. More... »

PAGES

1238-1246

Identifiers

URI

http://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00316-6

DOI

http://dx.doi.org/10.1016/s1044-0305(01)00316-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010367426

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11766750


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Autoanalysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Line", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Epithelial Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Indicators and Reagents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Spectrometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Biosynthesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Griffin", 
        "givenName": "Timothy J.", 
        "id": "sg:person.07775636537.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07775636537.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Han", 
        "givenName": "David K. M.", 
        "id": "sg:person.0760336115.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760336115.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gygi", 
        "givenName": "Steven P.", 
        "id": "sg:person.012070607257.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070607257.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rist", 
        "givenName": "Beate", 
        "id": "sg:person.0627330757.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627330757.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Hookeun", 
        "id": "sg:person.015044372077.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015044372077.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aebersold", 
        "givenName": "Ruedi", 
        "id": "sg:person.015313356237.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015313356237.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Applied Biosystems, Framingham, Massachusetts, USA", 
          "id": "http://www.grid.ac/institutes/grid.418190.5", 
          "name": [
            "Applied Biosystems, Framingham, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parker", 
        "givenName": "Kenneth C.", 
        "id": "sg:person.01200560436.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200560436.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/85686", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050637706", 
          "https://doi.org/10.1038/85686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35000501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010898206", 
          "https://doi.org/10.1038/35000501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/3282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011136384", 
          "https://doi.org/10.1038/3282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/73439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017120232", 
          "https://doi.org/10.1038/73439"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028135585", 
          "https://doi.org/10.1038/35015701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(94)80016-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018629105", 
          "https://doi.org/10.1016/1044-0305(94)80016-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/73432", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024393583", 
          "https://doi.org/10.1038/73432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/13690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029022565", 
          "https://doi.org/10.1038/13690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35015709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030361158", 
          "https://doi.org/10.1038/35015709"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2001-12-01", 
    "datePublishedReg": "2001-12-01", 
    "description": "The isotope-coded affinity tag (ICAT) [1] technology enables the concurrent identification and comparative quantitative analysis of proteins present in biological samples such as cell and tissue extracts and biological fluids by mass spectrometry. The initial implementation of this technology was based on microcapillary chromatography coupled on-line with electrospray ionization tandem mass spectrometry. This implementation lacked the ability to select proteins for identification based on their relative abundance and therefore to focus on differentially expressed proteins. In order to improve the sample throughput of this technology, we have developed a two-step approach that is focused on those proteins for which the abundance changes between samples: First, a new software program for the automated quantification of ICAT reagent labeled peptides analyzed by microcapillary electrospray ionization time-of-flight mass spectrometry determines those peptides that differ in their abundance and second, these peptides are identified by tandem mass spectrometry using an electrospray quadrupole time-of flight mass spectrometer and sequence database searching. Results from the application of this approach to the analysis of differentially expressed proteins secreted from nontumorigenic human prostate epithelial cells and metastatic cancerous human prostate epithelial cells are shown.", 
    "genre": "article", 
    "id": "sg:pub.10.1016/s1044-0305(01)00316-6", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2631587", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1100508", 
        "issn": [
          "1044-0305", 
          "1879-1123"
        ], 
        "name": "Journal of The American Society for Mass Spectrometry", 
        "publisher": "American Chemical Society (ACS)", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "keywords": [
      "human prostate epithelial cells", 
      "prostate epithelial cells", 
      "quantitative proteomic analysis", 
      "isotope-coded affinity tag technology", 
      "high-throughput approach", 
      "epithelial cells", 
      "affinity tag technology", 
      "proteomic analysis", 
      "mass spectrometry", 
      "sequence database searching", 
      "tandem mass spectrometry", 
      "abundance changes", 
      "ICAT reagents", 
      "protein identification", 
      "relative abundance", 
      "protein", 
      "database searching", 
      "tag technology", 
      "ionization time", 
      "flight mass spectrometry", 
      "electrospray quadrupole time", 
      "comparative quantitative analysis", 
      "abundance", 
      "concurrent identification", 
      "cells", 
      "ionization tandem mass spectrometry", 
      "peptides", 
      "electrospray ionization tandem mass spectrometry", 
      "tissue extracts", 
      "identification", 
      "biological samples", 
      "spectrometry", 
      "quadrupole time", 
      "new software program", 
      "analysis", 
      "biological fluids", 
      "lines", 
      "extract", 
      "flight mass spectrometer", 
      "quantitative analysis", 
      "ability", 
      "chromatography", 
      "mass spectrometer", 
      "changes", 
      "quantification", 
      "reagents", 
      "approach", 
      "samples", 
      "sample throughput", 
      "results", 
      "time", 
      "searching", 
      "technology", 
      "software program", 
      "two-step approach", 
      "program", 
      "order", 
      "applications", 
      "throughput", 
      "implementation", 
      "fluid", 
      "spectrometer", 
      "initial implementation"
    ], 
    "name": "Toward a high-throughput approach to quantitative proteomic analysis: Expression-dependent protein identification by mass spectrometry", 
    "pagination": "1238-1246", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010367426"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1016/s1044-0305(01)00316-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11766750"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1016/s1044-0305(01)00316-6", 
      "https://app.dimensions.ai/details/publication/pub.1010367426"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T16:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_346.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1016/s1044-0305(01)00316-6"
  }
]
 

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.10.1016/s1044-0305(01)00316-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00316-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00316-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00316-6'


 

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

259 TRIPLES      21 PREDICATES      110 URIs      93 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1016/s1044-0305(01)00316-6 schema:about N1a029be8a821405db1b27398f01dcf50
2 N313a1a0b7d184651bcb251fe4c0725e4
3 N3e21a0d141fb432abbcc4a62e82b2655
4 N4f93a8177fce4bdeaee1e258919befcc
5 N68862f8fb95449e98bdf79f58d53b5e9
6 N97f936524ffa4467ba8bfaf3e26229c1
7 Na00d399c7a33423f86fb8767f9d5942e
8 Nca5e6c66d35f41b08fedf7fa9d608f73
9 Nd9a2daa48aee4d46aed451f409c057b0
10 Ndb158a479bc94c2ea568c58173fc8f3d
11 Ne755b00979224c7dbb11f6d8e0aee4a8
12 Ne774f65188064df5a9cc397b41adffd4
13 Nfe6256a37b3f45899e6358ee91cc7ac9
14 anzsrc-for:03
15 anzsrc-for:0301
16 schema:author N42281bf3404f45b298840d3261e1f5bb
17 schema:citation sg:pub.10.1016/1044-0305(94)80016-2
18 sg:pub.10.1038/13690
19 sg:pub.10.1038/3282
20 sg:pub.10.1038/35000501
21 sg:pub.10.1038/35015701
22 sg:pub.10.1038/35015709
23 sg:pub.10.1038/73432
24 sg:pub.10.1038/73439
25 sg:pub.10.1038/85686
26 schema:datePublished 2001-12-01
27 schema:datePublishedReg 2001-12-01
28 schema:description The isotope-coded affinity tag (ICAT) [1] technology enables the concurrent identification and comparative quantitative analysis of proteins present in biological samples such as cell and tissue extracts and biological fluids by mass spectrometry. The initial implementation of this technology was based on microcapillary chromatography coupled on-line with electrospray ionization tandem mass spectrometry. This implementation lacked the ability to select proteins for identification based on their relative abundance and therefore to focus on differentially expressed proteins. In order to improve the sample throughput of this technology, we have developed a two-step approach that is focused on those proteins for which the abundance changes between samples: First, a new software program for the automated quantification of ICAT reagent labeled peptides analyzed by microcapillary electrospray ionization time-of-flight mass spectrometry determines those peptides that differ in their abundance and second, these peptides are identified by tandem mass spectrometry using an electrospray quadrupole time-of flight mass spectrometer and sequence database searching. Results from the application of this approach to the analysis of differentially expressed proteins secreted from nontumorigenic human prostate epithelial cells and metastatic cancerous human prostate epithelial cells are shown.
29 schema:genre article
30 schema:isAccessibleForFree false
31 schema:isPartOf N9702773c1360479a80bb781a653a6779
32 Ne8d12cde7002476aa4b45c2526391f26
33 sg:journal.1100508
34 schema:keywords ICAT reagents
35 ability
36 abundance
37 abundance changes
38 affinity tag technology
39 analysis
40 applications
41 approach
42 biological fluids
43 biological samples
44 cells
45 changes
46 chromatography
47 comparative quantitative analysis
48 concurrent identification
49 database searching
50 electrospray ionization tandem mass spectrometry
51 electrospray quadrupole time
52 epithelial cells
53 extract
54 flight mass spectrometer
55 flight mass spectrometry
56 fluid
57 high-throughput approach
58 human prostate epithelial cells
59 identification
60 implementation
61 initial implementation
62 ionization tandem mass spectrometry
63 ionization time
64 isotope-coded affinity tag technology
65 lines
66 mass spectrometer
67 mass spectrometry
68 new software program
69 order
70 peptides
71 program
72 prostate epithelial cells
73 protein
74 protein identification
75 proteomic analysis
76 quadrupole time
77 quantification
78 quantitative analysis
79 quantitative proteomic analysis
80 reagents
81 relative abundance
82 results
83 sample throughput
84 samples
85 searching
86 sequence database searching
87 software program
88 spectrometer
89 spectrometry
90 tag technology
91 tandem mass spectrometry
92 technology
93 throughput
94 time
95 tissue extracts
96 two-step approach
97 schema:name Toward a high-throughput approach to quantitative proteomic analysis: Expression-dependent protein identification by mass spectrometry
98 schema:pagination 1238-1246
99 schema:productId N032af0e2ec9446518d33517b720740cd
100 N052d8fa19e324d4e814ba4ea13b1e80d
101 N603a5bf05ce34922a2ac797d6d8e2862
102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010367426
103 https://doi.org/10.1016/s1044-0305(01)00316-6
104 schema:sdDatePublished 2022-08-04T16:55
105 schema:sdLicense https://scigraph.springernature.com/explorer/license/
106 schema:sdPublisher Nc4256ea95b38477e8956d4169a5147de
107 schema:url https://doi.org/10.1016/s1044-0305(01)00316-6
108 sgo:license sg:explorer/license/
109 sgo:sdDataset articles
110 rdf:type schema:ScholarlyArticle
111 N032af0e2ec9446518d33517b720740cd schema:name doi
112 schema:value 10.1016/s1044-0305(01)00316-6
113 rdf:type schema:PropertyValue
114 N052d8fa19e324d4e814ba4ea13b1e80d schema:name pubmed_id
115 schema:value 11766750
116 rdf:type schema:PropertyValue
117 N1a029be8a821405db1b27398f01dcf50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Cell Line
119 rdf:type schema:DefinedTerm
120 N313a1a0b7d184651bcb251fe4c0725e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Humans
122 rdf:type schema:DefinedTerm
123 N3e21a0d141fb432abbcc4a62e82b2655 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Indicators and Reagents
125 rdf:type schema:DefinedTerm
126 N42106e11174c4a64ba48da48bc84d97f rdf:first sg:person.015044372077.51
127 rdf:rest Ne5d4e535073b487ca826b6c97b7ac315
128 N42281bf3404f45b298840d3261e1f5bb rdf:first sg:person.07775636537.00
129 rdf:rest N8a37a5f2877544bcbaa86fbac1e1624f
130 N4f93a8177fce4bdeaee1e258919befcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Prostatic Neoplasms
132 rdf:type schema:DefinedTerm
133 N603a5bf05ce34922a2ac797d6d8e2862 schema:name dimensions_id
134 schema:value pub.1010367426
135 rdf:type schema:PropertyValue
136 N68862f8fb95449e98bdf79f58d53b5e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Proteome
138 rdf:type schema:DefinedTerm
139 N6f96055e9c81456588513069cb69cfb3 rdf:first sg:person.01200560436.13
140 rdf:rest rdf:nil
141 N7ece8e4cd81a4a7ea7cd611b1ac253be rdf:first sg:person.012070607257.17
142 rdf:rest Na6b684fd53fa4067b755b66ccfd5b582
143 N8a37a5f2877544bcbaa86fbac1e1624f rdf:first sg:person.0760336115.03
144 rdf:rest N7ece8e4cd81a4a7ea7cd611b1ac253be
145 N9702773c1360479a80bb781a653a6779 schema:issueNumber 12
146 rdf:type schema:PublicationIssue
147 N97f936524ffa4467ba8bfaf3e26229c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Prostate
149 rdf:type schema:DefinedTerm
150 Na00d399c7a33423f86fb8767f9d5942e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Male
152 rdf:type schema:DefinedTerm
153 Na6b684fd53fa4067b755b66ccfd5b582 rdf:first sg:person.0627330757.35
154 rdf:rest N42106e11174c4a64ba48da48bc84d97f
155 Nc4256ea95b38477e8956d4169a5147de schema:name Springer Nature - SN SciGraph project
156 rdf:type schema:Organization
157 Nca5e6c66d35f41b08fedf7fa9d608f73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Mass Spectrometry
159 rdf:type schema:DefinedTerm
160 Nd9a2daa48aee4d46aed451f409c057b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Epithelial Cells
162 rdf:type schema:DefinedTerm
163 Ndb158a479bc94c2ea568c58173fc8f3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Proteins
165 rdf:type schema:DefinedTerm
166 Ne5d4e535073b487ca826b6c97b7ac315 rdf:first sg:person.015313356237.76
167 rdf:rest N6f96055e9c81456588513069cb69cfb3
168 Ne755b00979224c7dbb11f6d8e0aee4a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Autoanalysis
170 rdf:type schema:DefinedTerm
171 Ne774f65188064df5a9cc397b41adffd4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Peptides
173 rdf:type schema:DefinedTerm
174 Ne8d12cde7002476aa4b45c2526391f26 schema:volumeNumber 12
175 rdf:type schema:PublicationVolume
176 Nfe6256a37b3f45899e6358ee91cc7ac9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Protein Biosynthesis
178 rdf:type schema:DefinedTerm
179 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
180 schema:name Chemical Sciences
181 rdf:type schema:DefinedTerm
182 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
183 schema:name Analytical Chemistry
184 rdf:type schema:DefinedTerm
185 sg:grant.2631587 http://pending.schema.org/fundedItem sg:pub.10.1016/s1044-0305(01)00316-6
186 rdf:type schema:MonetaryGrant
187 sg:journal.1100508 schema:issn 1044-0305
188 1879-1123
189 schema:name Journal of The American Society for Mass Spectrometry
190 schema:publisher American Chemical Society (ACS)
191 rdf:type schema:Periodical
192 sg:person.01200560436.13 schema:affiliation grid-institutes:grid.418190.5
193 schema:familyName Parker
194 schema:givenName Kenneth C.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200560436.13
196 rdf:type schema:Person
197 sg:person.012070607257.17 schema:affiliation grid-institutes:grid.34477.33
198 schema:familyName Gygi
199 schema:givenName Steven P.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070607257.17
201 rdf:type schema:Person
202 sg:person.015044372077.51 schema:affiliation grid-institutes:grid.34477.33
203 schema:familyName Lee
204 schema:givenName Hookeun
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015044372077.51
206 rdf:type schema:Person
207 sg:person.015313356237.76 schema:affiliation grid-institutes:grid.34477.33
208 schema:familyName Aebersold
209 schema:givenName Ruedi
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015313356237.76
211 rdf:type schema:Person
212 sg:person.0627330757.35 schema:affiliation grid-institutes:grid.34477.33
213 schema:familyName Rist
214 schema:givenName Beate
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627330757.35
216 rdf:type schema:Person
217 sg:person.0760336115.03 schema:affiliation grid-institutes:grid.34477.33
218 schema:familyName Han
219 schema:givenName David K. M.
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0760336115.03
221 rdf:type schema:Person
222 sg:person.07775636537.00 schema:affiliation grid-institutes:grid.34477.33
223 schema:familyName Griffin
224 schema:givenName Timothy J.
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07775636537.00
226 rdf:type schema:Person
227 sg:pub.10.1016/1044-0305(94)80016-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018629105
228 https://doi.org/10.1016/1044-0305(94)80016-2
229 rdf:type schema:CreativeWork
230 sg:pub.10.1038/13690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029022565
231 https://doi.org/10.1038/13690
232 rdf:type schema:CreativeWork
233 sg:pub.10.1038/3282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011136384
234 https://doi.org/10.1038/3282
235 rdf:type schema:CreativeWork
236 sg:pub.10.1038/35000501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010898206
237 https://doi.org/10.1038/35000501
238 rdf:type schema:CreativeWork
239 sg:pub.10.1038/35015701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028135585
240 https://doi.org/10.1038/35015701
241 rdf:type schema:CreativeWork
242 sg:pub.10.1038/35015709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030361158
243 https://doi.org/10.1038/35015709
244 rdf:type schema:CreativeWork
245 sg:pub.10.1038/73432 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024393583
246 https://doi.org/10.1038/73432
247 rdf:type schema:CreativeWork
248 sg:pub.10.1038/73439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017120232
249 https://doi.org/10.1038/73439
250 rdf:type schema:CreativeWork
251 sg:pub.10.1038/85686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050637706
252 https://doi.org/10.1038/85686
253 rdf:type schema:CreativeWork
254 grid-institutes:grid.34477.33 schema:alternateName Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA
255 schema:name Department of Molecular Biotechnology, University of Washington, Seattle, Washington, USA
256 rdf:type schema:Organization
257 grid-institutes:grid.418190.5 schema:alternateName Applied Biosystems, Framingham, Massachusetts, USA
258 schema:name Applied Biosystems, Framingham, Massachusetts, USA
259 rdf:type schema:Organization
 




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


...