Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-09

AUTHORS

David R. Goodlett, Eugene C. Yi

ABSTRACT

. Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry. More... »

PAGES

138-153

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10142-001-0041-3

DOI

http://dx.doi.org/10.1007/s10142-001-0041-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049108047

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12192588


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Spectrometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteomics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goodlett", 
        "givenName": "David R.", 
        "id": "sg:person.01044126157.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044126157.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA", 
          "id": "http://www.grid.ac/institutes/grid.64212.33", 
          "name": [
            "The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yi", 
        "givenName": "Eugene C.", 
        "id": "sg:person.01064603366.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064603366.33"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002-09", 
    "datePublishedReg": "2002-09-01", 
    "description": "Abstract. Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10142-001-0041-3", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1022614", 
        "issn": [
          "1438-793X", 
          "1438-7948"
        ], 
        "name": "Functional & Integrative Genomics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4-5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "keywords": [
      "mass spectrometry", 
      "tandem mass spectrometry", 
      "biological processes", 
      "perspective of proteins", 
      "systematic parallel analysis", 
      "field of proteomics", 
      "genomic sequences", 
      "protein physicochemical properties", 
      "proteome analysis", 
      "protein chemists", 
      "proteomics", 
      "physicochemical properties", 
      "analytical techniques", 
      "spectrometry", 
      "protein levels", 
      "gel electrophoresis", 
      "protein", 
      "parallel analysis", 
      "chemists", 
      "quantitative uses", 
      "polyacrylamide", 
      "regulation", 
      "basic understanding", 
      "sequence", 
      "electrophoresis", 
      "last century", 
      "cells", 
      "stark contrast", 
      "properties", 
      "structure", 
      "process", 
      "function", 
      "analysis", 
      "understanding", 
      "contrast", 
      "current approaches", 
      "development", 
      "levels", 
      "field", 
      "technique", 
      "use", 
      "tool", 
      "approach", 
      "uses", 
      "information", 
      "attempt", 
      "century", 
      "era", 
      "perspective", 
      "serial approach", 
      "discussion", 
      "article", 
      "practice"
    ], 
    "name": "Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis", 
    "pagination": "138-153", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049108047"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10142-001-0041-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12192588"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10142-001-0041-3", 
      "https://app.dimensions.ai/details/publication/pub.1049108047"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T15:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_357.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10142-001-0041-3"
  }
]
 

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/s10142-001-0041-3'

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/s10142-001-0041-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10142-001-0041-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10142-001-0041-3'


 

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

133 TRIPLES      20 PREDICATES      81 URIs      73 LITERALS      10 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10142-001-0041-3 schema:about N2d35c12704c848fb95bb52873434d27a
2 N78c81d9dbbaf4bf8a65fb358b6a4ffbd
3 Ne8a89847c5d94b06a3041416b8fcdee2
4 anzsrc-for:06
5 anzsrc-for:0601
6 schema:author N63a1ba76e31c42cdbbbda8f677aa6a11
7 schema:datePublished 2002-09
8 schema:datePublishedReg 2002-09-01
9 schema:description Abstract. Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry.
10 schema:genre article
11 schema:isAccessibleForFree false
12 schema:isPartOf Nad8fd926ad694c8f88fbba98062fca26
13 Nb372b5bb73df48b8950e32ce9551d74f
14 sg:journal.1022614
15 schema:keywords analysis
16 analytical techniques
17 approach
18 article
19 attempt
20 basic understanding
21 biological processes
22 cells
23 century
24 chemists
25 contrast
26 current approaches
27 development
28 discussion
29 electrophoresis
30 era
31 field
32 field of proteomics
33 function
34 gel electrophoresis
35 genomic sequences
36 information
37 last century
38 levels
39 mass spectrometry
40 parallel analysis
41 perspective
42 perspective of proteins
43 physicochemical properties
44 polyacrylamide
45 practice
46 process
47 properties
48 protein
49 protein chemists
50 protein levels
51 protein physicochemical properties
52 proteome analysis
53 proteomics
54 quantitative uses
55 regulation
56 sequence
57 serial approach
58 spectrometry
59 stark contrast
60 structure
61 systematic parallel analysis
62 tandem mass spectrometry
63 technique
64 tool
65 understanding
66 use
67 uses
68 schema:name Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis
69 schema:pagination 138-153
70 schema:productId N0fbbb578861d460196c261a5e9eb8bb9
71 N1801a0356f59415cb21504029ea75ba4
72 N534177c3e0eb44128fc2489375e2ae58
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049108047
74 https://doi.org/10.1007/s10142-001-0041-3
75 schema:sdDatePublished 2022-09-02T15:50
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher Nc826f01cf9af4ca08014a2bd4cacc73f
78 schema:url https://doi.org/10.1007/s10142-001-0041-3
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N0fbbb578861d460196c261a5e9eb8bb9 schema:name doi
83 schema:value 10.1007/s10142-001-0041-3
84 rdf:type schema:PropertyValue
85 N1801a0356f59415cb21504029ea75ba4 schema:name pubmed_id
86 schema:value 12192588
87 rdf:type schema:PropertyValue
88 N2d35c12704c848fb95bb52873434d27a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Proteome
90 rdf:type schema:DefinedTerm
91 N472a0274d61543b6b0afe441a8c159d7 rdf:first sg:person.01064603366.33
92 rdf:rest rdf:nil
93 N534177c3e0eb44128fc2489375e2ae58 schema:name dimensions_id
94 schema:value pub.1049108047
95 rdf:type schema:PropertyValue
96 N63a1ba76e31c42cdbbbda8f677aa6a11 rdf:first sg:person.01044126157.13
97 rdf:rest N472a0274d61543b6b0afe441a8c159d7
98 N78c81d9dbbaf4bf8a65fb358b6a4ffbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Proteomics
100 rdf:type schema:DefinedTerm
101 Nad8fd926ad694c8f88fbba98062fca26 schema:issueNumber 4-5
102 rdf:type schema:PublicationIssue
103 Nb372b5bb73df48b8950e32ce9551d74f schema:volumeNumber 2
104 rdf:type schema:PublicationVolume
105 Nc826f01cf9af4ca08014a2bd4cacc73f schema:name Springer Nature - SN SciGraph project
106 rdf:type schema:Organization
107 Ne8a89847c5d94b06a3041416b8fcdee2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Mass Spectrometry
109 rdf:type schema:DefinedTerm
110 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
111 schema:name Biological Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
114 schema:name Biochemistry and Cell Biology
115 rdf:type schema:DefinedTerm
116 sg:journal.1022614 schema:issn 1438-793X
117 1438-7948
118 schema:name Functional & Integrative Genomics
119 schema:publisher Springer Nature
120 rdf:type schema:Periodical
121 sg:person.01044126157.13 schema:affiliation grid-institutes:grid.64212.33
122 schema:familyName Goodlett
123 schema:givenName David R.
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044126157.13
125 rdf:type schema:Person
126 sg:person.01064603366.33 schema:affiliation grid-institutes:grid.64212.33
127 schema:familyName Yi
128 schema:givenName Eugene C.
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064603366.33
130 rdf:type schema:Person
131 grid-institutes:grid.64212.33 schema:alternateName The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA
132 schema:name The Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103-8904, USA, USA
133 rdf:type schema:Organization
 




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


...