One Gene, Many Proteins View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007-01-01

AUTHORS

Nicolle H. Packer , Andrew A. Gooley , Marc R. Wilkins

ABSTRACT

The release of the sequence of the human genome in early 2000 generated enormous excitement with the promise of rapid identification of the gene products responsible for cellular function. What has become apparent is that knowledge of the DNA sequence of the gene that is involved in a particular metabolic process is insufficient to predict its function, expression and activity. The very numbers illustrate this difference – it is estimated that there are 22,000 to 25,000 known genes in the human genome but there are probably greater than 1,000,000 proteins in the human proteome. This discrepancy has extended the focus of proteomics to the analysis and understanding of the modifications that occur to proteins both during and after translation of the gene. As we move further into understanding protein function it is becoming increasingly obvious that many of the changes associated with disease and differentiation are to do with the modifications to the proteins rather than only to do with the regulation of the expression of the gene. The main difficulty which has slowed the understanding of the biological role of these protein modifications has been the perception that the analysis of these alterations is difficult and is best left to the limited number of experts in each field. However, the reality is that the increasing availability of sample preparation, mass spectrometric and bioinformatic tools specifically designed for the analysis of post-translational modifications, is enabling the function of these instruments of biological diversity to be explored. More... »

PAGES

95-121

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-72910-5_5

DOI

http://dx.doi.org/10.1007/978-3-540-72910-5_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033587497


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"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "CORE of Functional Proteomics and Cellular Networks, Macquarie University, NSW 2109, Sydney, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1004.5", 
          "name": [
            "CORE of Functional Proteomics and Cellular Networks, Macquarie University, NSW 2109, Sydney, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Packer", 
        "givenName": "Nicolle H.", 
        "id": "sg:person.0657131714.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657131714.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "SGE Analytical Science Pty Ltd., 7 Argent Place, VIC 3134, Ringwood, Australia", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "SGE Analytical Science Pty Ltd., 7 Argent Place, VIC 3134, Ringwood, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gooley", 
        "givenName": "Andrew A.", 
        "id": "sg:person.0703616433.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703616433.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Biotechnology and Biomolecular Sciences, University of New South Wales, NSW 2052, Sydney, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1005.4", 
          "name": [
            "School of Biotechnology and Biomolecular Sciences, University of New South Wales, NSW 2052, Sydney, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wilkins", 
        "givenName": "Marc R.", 
        "id": "sg:person.0763146160.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763146160.86"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2007-01-01", 
    "datePublishedReg": "2007-01-01", 
    "description": "The release of the sequence of the human genome in early 2000 generated enormous excitement with the promise of rapid identification of the gene products responsible for cellular function. What has become apparent is that knowledge of the DNA sequence of the gene that is involved in a particular metabolic process is insufficient to predict its function, expression and activity. The very numbers illustrate this difference \u2013 it is estimated that there are 22,000 to 25,000 known genes in the human genome but there are probably greater than 1,000,000 proteins in the human proteome. This discrepancy has extended the focus of proteomics to the analysis and understanding of the modifications that occur to proteins both during and after translation of the gene. As we move further into understanding protein function it is becoming increasingly obvious that many of the changes associated with disease and differentiation are to do with the modifications to the proteins rather than only to do with the regulation of the expression of the gene. The main difficulty which has slowed the understanding of the biological role of these protein modifications has been the perception that the analysis of these alterations is difficult and is best left to the limited number of experts in each field. However, the reality is that the increasing availability of sample preparation, mass spectrometric and bioinformatic tools specifically designed for the analysis of post-translational modifications, is enabling the function of these instruments of biological diversity to be explored.", 
    "editor": [
      {
        "familyName": "Wilkins", 
        "givenName": "Marc R.", 
        "type": "Person"
      }, 
      {
        "familyName": "Appel", 
        "givenName": "Ron D.", 
        "type": "Person"
      }, 
      {
        "familyName": "Williams", 
        "givenName": "Keith L.", 
        "type": "Person"
      }, 
      {
        "familyName": "Hochstrasser", 
        "givenName": "Denis F.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-72910-5_5", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-540-71240-4", 
        "978-3-540-72910-5"
      ], 
      "name": "Proteome Research", 
      "type": "Book"
    }, 
    "keywords": [
      "human genome", 
      "post-translational modifications", 
      "focus of proteomics", 
      "understanding protein function", 
      "cellular functions", 
      "DNA sequences", 
      "protein function", 
      "gene products", 
      "protein modification", 
      "human proteome", 
      "bioinformatics tools", 
      "biological diversity", 
      "biological role", 
      "particular metabolic process", 
      "metabolic processes", 
      "genes", 
      "protein", 
      "genome", 
      "rapid identification", 
      "sequence", 
      "expression", 
      "proteome", 
      "proteomics", 
      "diversity", 
      "modification", 
      "differentiation", 
      "regulation", 
      "function", 
      "limited number", 
      "translation", 
      "understanding", 
      "enormous excitement", 
      "identification", 
      "alterations", 
      "role", 
      "availability", 
      "analysis", 
      "activity", 
      "number", 
      "release", 
      "very number", 
      "sample preparation", 
      "products", 
      "changes", 
      "disease", 
      "mass", 
      "process", 
      "knowledge", 
      "promise", 
      "tool", 
      "differences", 
      "focus", 
      "preparation", 
      "excitement", 
      "field", 
      "discrepancy", 
      "difficulties", 
      "main difficulty", 
      "perception", 
      "reality", 
      "instrument", 
      "experts"
    ], 
    "name": "One Gene, Many Proteins", 
    "pagination": "95-121", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033587497"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-72910-5_5"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-72910-5_5", 
      "https://app.dimensions.ai/details/publication/pub.1033587497"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:17", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_292.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-540-72910-5_5"
  }
]
 

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.10.1007/978-3-540-72910-5_5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72910-5_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72910-5_5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72910-5_5'


 

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

161 TRIPLES      23 PREDICATES      88 URIs      80 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-72910-5_5 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 anzsrc-for:0604
4 schema:author Nf42de5910ec64d509944eb7d876eb763
5 schema:datePublished 2007-01-01
6 schema:datePublishedReg 2007-01-01
7 schema:description The release of the sequence of the human genome in early 2000 generated enormous excitement with the promise of rapid identification of the gene products responsible for cellular function. What has become apparent is that knowledge of the DNA sequence of the gene that is involved in a particular metabolic process is insufficient to predict its function, expression and activity. The very numbers illustrate this difference – it is estimated that there are 22,000 to 25,000 known genes in the human genome but there are probably greater than 1,000,000 proteins in the human proteome. This discrepancy has extended the focus of proteomics to the analysis and understanding of the modifications that occur to proteins both during and after translation of the gene. As we move further into understanding protein function it is becoming increasingly obvious that many of the changes associated with disease and differentiation are to do with the modifications to the proteins rather than only to do with the regulation of the expression of the gene. The main difficulty which has slowed the understanding of the biological role of these protein modifications has been the perception that the analysis of these alterations is difficult and is best left to the limited number of experts in each field. However, the reality is that the increasing availability of sample preparation, mass spectrometric and bioinformatic tools specifically designed for the analysis of post-translational modifications, is enabling the function of these instruments of biological diversity to be explored.
8 schema:editor N00ad0c427b97476d945eb8708adc3783
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N9034b0049cf3430d83f75900075ec445
13 schema:keywords DNA sequences
14 activity
15 alterations
16 analysis
17 availability
18 bioinformatics tools
19 biological diversity
20 biological role
21 cellular functions
22 changes
23 differences
24 differentiation
25 difficulties
26 discrepancy
27 disease
28 diversity
29 enormous excitement
30 excitement
31 experts
32 expression
33 field
34 focus
35 focus of proteomics
36 function
37 gene products
38 genes
39 genome
40 human genome
41 human proteome
42 identification
43 instrument
44 knowledge
45 limited number
46 main difficulty
47 mass
48 metabolic processes
49 modification
50 number
51 particular metabolic process
52 perception
53 post-translational modifications
54 preparation
55 process
56 products
57 promise
58 protein
59 protein function
60 protein modification
61 proteome
62 proteomics
63 rapid identification
64 reality
65 regulation
66 release
67 role
68 sample preparation
69 sequence
70 tool
71 translation
72 understanding
73 understanding protein function
74 very number
75 schema:name One Gene, Many Proteins
76 schema:pagination 95-121
77 schema:productId N981fabaa4b3c40578f6d3d33b52b7a60
78 Nfa1ade125889478592953247e7ef7c06
79 schema:publisher N2e997fee67da4227b015ce6da84e118e
80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033587497
81 https://doi.org/10.1007/978-3-540-72910-5_5
82 schema:sdDatePublished 2022-01-01T19:17
83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
84 schema:sdPublisher Nd29910f5a42d45519dbf32ddec62b6e9
85 schema:url https://doi.org/10.1007/978-3-540-72910-5_5
86 sgo:license sg:explorer/license/
87 sgo:sdDataset chapters
88 rdf:type schema:Chapter
89 N00ad0c427b97476d945eb8708adc3783 rdf:first Nde670e03bc834d0ab61505ba3800c054
90 rdf:rest Nc914581dd6bd4c76acf5726b61fbdf47
91 N160deb068aeb460680d5a116ed6de3a8 rdf:first sg:person.0703616433.42
92 rdf:rest N446d9d64dca9471486ce14b09af906c2
93 N2e997fee67da4227b015ce6da84e118e schema:name Springer Nature
94 rdf:type schema:Organisation
95 N446d9d64dca9471486ce14b09af906c2 rdf:first sg:person.0763146160.86
96 rdf:rest rdf:nil
97 N7f89be88af2f40928d8174b3c9835adf rdf:first N9dce22de7d09443f830d6ed3b36102d5
98 rdf:rest rdf:nil
99 N82eb55c53c39455c87b5945264d6e988 schema:familyName Williams
100 schema:givenName Keith L.
101 rdf:type schema:Person
102 N9034b0049cf3430d83f75900075ec445 schema:isbn 978-3-540-71240-4
103 978-3-540-72910-5
104 schema:name Proteome Research
105 rdf:type schema:Book
106 N981fabaa4b3c40578f6d3d33b52b7a60 schema:name doi
107 schema:value 10.1007/978-3-540-72910-5_5
108 rdf:type schema:PropertyValue
109 N9dce22de7d09443f830d6ed3b36102d5 schema:familyName Hochstrasser
110 schema:givenName Denis F.
111 rdf:type schema:Person
112 Nc914581dd6bd4c76acf5726b61fbdf47 rdf:first Nef560995930640af86e08a41a2b51ede
113 rdf:rest Ne122be0bd37847e8ae51531df3d53f60
114 Nd29910f5a42d45519dbf32ddec62b6e9 schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Nde670e03bc834d0ab61505ba3800c054 schema:familyName Wilkins
117 schema:givenName Marc R.
118 rdf:type schema:Person
119 Ne122be0bd37847e8ae51531df3d53f60 rdf:first N82eb55c53c39455c87b5945264d6e988
120 rdf:rest N7f89be88af2f40928d8174b3c9835adf
121 Nef560995930640af86e08a41a2b51ede schema:familyName Appel
122 schema:givenName Ron D.
123 rdf:type schema:Person
124 Nf42de5910ec64d509944eb7d876eb763 rdf:first sg:person.0657131714.23
125 rdf:rest N160deb068aeb460680d5a116ed6de3a8
126 Nfa1ade125889478592953247e7ef7c06 schema:name dimensions_id
127 schema:value pub.1033587497
128 rdf:type schema:PropertyValue
129 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
130 schema:name Biological Sciences
131 rdf:type schema:DefinedTerm
132 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
133 schema:name Biochemistry and Cell Biology
134 rdf:type schema:DefinedTerm
135 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
136 schema:name Genetics
137 rdf:type schema:DefinedTerm
138 sg:person.0657131714.23 schema:affiliation grid-institutes:grid.1004.5
139 schema:familyName Packer
140 schema:givenName Nicolle H.
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0657131714.23
142 rdf:type schema:Person
143 sg:person.0703616433.42 schema:affiliation grid-institutes:None
144 schema:familyName Gooley
145 schema:givenName Andrew A.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0703616433.42
147 rdf:type schema:Person
148 sg:person.0763146160.86 schema:affiliation grid-institutes:grid.1005.4
149 schema:familyName Wilkins
150 schema:givenName Marc R.
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763146160.86
152 rdf:type schema:Person
153 grid-institutes:None schema:alternateName SGE Analytical Science Pty Ltd., 7 Argent Place, VIC 3134, Ringwood, Australia
154 schema:name SGE Analytical Science Pty Ltd., 7 Argent Place, VIC 3134, Ringwood, Australia
155 rdf:type schema:Organization
156 grid-institutes:grid.1004.5 schema:alternateName CORE of Functional Proteomics and Cellular Networks, Macquarie University, NSW 2109, Sydney, Australia
157 schema:name CORE of Functional Proteomics and Cellular Networks, Macquarie University, NSW 2109, Sydney, Australia
158 rdf:type schema:Organization
159 grid-institutes:grid.1005.4 schema:alternateName School of Biotechnology and Biomolecular Sciences, University of New South Wales, NSW 2052, Sydney, Australia
160 schema:name School of Biotechnology and Biomolecular Sciences, University of New South Wales, NSW 2052, Sydney, Australia
161 rdf:type schema:Organization
 




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


...