Proteomic applications in ecotoxicology.
Identifieur interne : 000265 ( PubMed/Checkpoint ); précédent : 000264; suivant : 000266Proteomic applications in ecotoxicology.
Auteurs : Tiphaine Monsinjon [France] ; Thomas KniggeSource :
- Proteomics [ 1615-9853 ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- chemical , toxicity : Environmental Pollutants.
- Ecosystem, Proteomics.
Abstract
Within the growing body of proteomics studies, issues addressing problems of ecotoxicology are on the rise. Generally speaking, ecotoxicology uses quantitative expression changes of distinct proteins known to be involved in toxicological responses as biomarkers. Unlike these directed approaches, proteomics examines how multiple expression changes are associated with a contamination that is suspected to be detrimental. Consequently, proteins involved in toxicological responses that have not been described previously may be revealed. Following identification of key proteins indicating exposure or effect, proteomics can potentially be employed in environmental risk assessment. To this end, bioinformatics may unveil protein patterns specific to an environmental stress that would constitute a classifier able to distinguish an exposure from a control state. The combined use of sets of marker proteins associated with a given pollution impact may prove to be more reliable, as they are based not only on a few unique markers which are measured independently, but reflect the complexity of a toxicological response. Such a proteomic pattern might also integrate some of the already established biomarkers of environmental toxicity. Proteomics applications in ecotoxicology may also comprise functional examination of known classes of proteins, such as glutathione transferases or metallothioneins, to elucidate their toxicological responses.
DOI: 10.1002/pmic.200700101
PubMed: 17703507
Affiliations:
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Generally speaking, ecotoxicology uses quantitative expression changes of distinct proteins known to be involved in toxicological responses as biomarkers. Unlike these directed approaches, proteomics examines how multiple expression changes are associated with a contamination that is suspected to be detrimental. Consequently, proteins involved in toxicological responses that have not been described previously may be revealed. Following identification of key proteins indicating exposure or effect, proteomics can potentially be employed in environmental risk assessment. To this end, bioinformatics may unveil protein patterns specific to an environmental stress that would constitute a classifier able to distinguish an exposure from a control state. The combined use of sets of marker proteins associated with a given pollution impact may prove to be more reliable, as they are based not only on a few unique markers which are measured independently, but reflect the complexity of a toxicological response. Such a proteomic pattern might also integrate some of the already established biomarkers of environmental toxicity. Proteomics applications in ecotoxicology may also comprise functional examination of known classes of proteins, such as glutathione transferases or metallothioneins, to elucidate their toxicological responses.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">17703507</PMID><DateCreated><Year>2007</Year><Month>8</Month><Day>23</Day></DateCreated><DateCompleted><Year>2007</Year><Month>11</Month><Day>13</Day></DateCompleted><DateRevised><Year>2007</Year><Month>8</Month><Day>23</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1615-9853</ISSN><JournalIssue CitedMedium="Print"><Volume>7</Volume><Issue>16</Issue><PubDate><Year>2007</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Proteomics</Title><ISOAbbreviation>Proteomics</ISOAbbreviation></Journal><ArticleTitle>Proteomic applications in ecotoxicology.</ArticleTitle><Pagination><MedlinePgn>2997-3009</MedlinePgn></Pagination><Abstract><AbstractText>Within the growing body of proteomics studies, issues addressing problems of ecotoxicology are on the rise. Generally speaking, ecotoxicology uses quantitative expression changes of distinct proteins known to be involved in toxicological responses as biomarkers. Unlike these directed approaches, proteomics examines how multiple expression changes are associated with a contamination that is suspected to be detrimental. Consequently, proteins involved in toxicological responses that have not been described previously may be revealed. Following identification of key proteins indicating exposure or effect, proteomics can potentially be employed in environmental risk assessment. To this end, bioinformatics may unveil protein patterns specific to an environmental stress that would constitute a classifier able to distinguish an exposure from a control state. The combined use of sets of marker proteins associated with a given pollution impact may prove to be more reliable, as they are based not only on a few unique markers which are measured independently, but reflect the complexity of a toxicological response. Such a proteomic pattern might also integrate some of the already established biomarkers of environmental toxicity. Proteomics applications in ecotoxicology may also comprise functional examination of known classes of proteins, such as glutathione transferases or metallothioneins, to elucidate their toxicological responses.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Monsinjon</LastName><ForeName>Tiphaine</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Laboratoire d'Ecotoxicologie - Milieux Aquatiques, Université du Havre, Le Havre, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Knigge</LastName><ForeName>Thomas</ForeName><Initials>T</Initials></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Proteomics</MedlineTA><NlmUniqueID>101092707</NlmUniqueID><ISSNLinking>1615-9853</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004785">Environmental Pollutants</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004785" MajorTopicYN="N">Environmental Pollutants</DescriptorName><QualifierName UI="Q000633" MajorTopicYN="Y">toxicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040901" MajorTopicYN="Y">Proteomics</DescriptorName></MeshHeading></MeshHeadingList><NumberOfReferences>209</NumberOfReferences></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2007</Year><Month>8</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2007</Year><Month>11</Month><Day>14</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2007</Year><Month>8</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">17703507</ArticleId><ArticleId IdType="doi">10.1002/pmic.200700101</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Haute-Normandie</li><li>Région Normandie</li></region><settlement><li>Le Havre</li></settlement><orgName><li>Université du Havre</li></orgName></list><tree><noCountry><name sortKey="Knigge, Thomas" sort="Knigge, Thomas" uniqKey="Knigge T" first="Thomas" last="Knigge">Thomas Knigge</name></noCountry><country name="France"><noRegion><name sortKey="Monsinjon, Tiphaine" sort="Monsinjon, Tiphaine" uniqKey="Monsinjon T" first="Tiphaine" last="Monsinjon">Tiphaine Monsinjon</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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