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Article: Detection of endocrine disruptors: from simple assays to whole genome scanning

TitleDetection of endocrine disruptors: from simple assays to whole genome scanning
Authors
KeywordsCancer cell
Cell growth
Cluster analysis
Down regulation
Gene expression
Issue Date2012
PublisherWiley-Blackwell Publishing Ltd.. The Journal's web site is located at http://www.blackwellpublishing.com/journals/IJA
Citation
International Journal of Andrology, 2012, v. 35 n. 3, p. 407-414 How to Cite?
AbstractEndocrine disruptors frequently bear little structural relationship to the hormone whose actions they disrupt. Consequently, the threat of an uninvestigated chemical cannot easily be assessed. Here three different approaches to assessment are discussed. The first presumes an endocrine-disrupting property, following which a cell model capable of responding to such a hormone is used. Although simple and cheap, it provides limited data. A second approach involves multiple assays to detect multiple hormones. Increasing the amount of data increased the difficulty in assessing the significance of results. To meet this problem, cluster analysis based on a simple mathematical matrix was adopted. The matrix was used to determine (i) a limited number of assays to identify a maximum number of endocrine disruptors and (ii) the chemicals with the most wide-ranging effects. A third approach was a whole genome expression analysis based on expression of mRNAs in human TE671 medulloblastoma cells. Expression of individual mRNAs was assessed using the Affymetrix GeneChip((R)) Human Genome U133 Plus 2.0 chip. The significance of differential expressed genes was assessed based on gene ontology and pathways analyses using DAVID and GenMaPP programs. The results illustrated the very wide-ranging effects of these chemicals across the genome.
Persistent Identifierhttp://hdl.handle.net/10722/146401
ISSN
2014 Impact Factor: 3.695
2015 SCImago Journal Rankings: 1.161
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSung, Een_HK
dc.contributor.authorTuran, Nen_HK
dc.contributor.authorHo, PWLen_HK
dc.contributor.authorHo, SLen_HK
dc.contributor.authorJarratt, PDBen_HK
dc.contributor.authorWaring, RHen_HK
dc.contributor.authorRamsden, DBen_HK
dc.date.accessioned2012-04-24T07:51:48Z-
dc.date.available2012-04-24T07:51:48Z-
dc.date.issued2012en_HK
dc.identifier.citationInternational Journal of Andrology, 2012, v. 35 n. 3, p. 407-414en_HK
dc.identifier.issn0105-6263en_HK
dc.identifier.urihttp://hdl.handle.net/10722/146401-
dc.description.abstractEndocrine disruptors frequently bear little structural relationship to the hormone whose actions they disrupt. Consequently, the threat of an uninvestigated chemical cannot easily be assessed. Here three different approaches to assessment are discussed. The first presumes an endocrine-disrupting property, following which a cell model capable of responding to such a hormone is used. Although simple and cheap, it provides limited data. A second approach involves multiple assays to detect multiple hormones. Increasing the amount of data increased the difficulty in assessing the significance of results. To meet this problem, cluster analysis based on a simple mathematical matrix was adopted. The matrix was used to determine (i) a limited number of assays to identify a maximum number of endocrine disruptors and (ii) the chemicals with the most wide-ranging effects. A third approach was a whole genome expression analysis based on expression of mRNAs in human TE671 medulloblastoma cells. Expression of individual mRNAs was assessed using the Affymetrix GeneChip((R)) Human Genome U133 Plus 2.0 chip. The significance of differential expressed genes was assessed based on gene ontology and pathways analyses using DAVID and GenMaPP programs. The results illustrated the very wide-ranging effects of these chemicals across the genome.en_HK
dc.languageengen_US
dc.publisherWiley-Blackwell Publishing Ltd.. The Journal's web site is located at http://www.blackwellpublishing.com/journals/IJAen_HK
dc.relation.ispartofInternational Journal of Andrologyen_HK
dc.rightsThe definitive version is available at www3.interscience.wiley.com-
dc.subjectCancer cellen_HK
dc.subjectCell growthen_HK
dc.subjectCluster analysisen_HK
dc.subjectDown regulation-
dc.subjectGene expression-
dc.titleDetection of endocrine disruptors: from simple assays to whole genome scanningen_HK
dc.typeArticleen_HK
dc.identifier.emailHo, PWL: hwl2002@hku.hken_HK
dc.identifier.emailHo, SL: slho@hku.hk-
dc.identifier.emailRamsden, DB: d.b.ramsden@bham.ac.uk-
dc.identifier.authorityHo, SL=rp00240en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1365-2605.2012.01254.xen_HK
dc.identifier.pmid22428665-
dc.identifier.scopuseid_2-s2.0-84861461270en_HK
dc.identifier.hkuros199329en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84861461270&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue3en_HK
dc.identifier.spage407en_HK
dc.identifier.epage414en_HK
dc.identifier.isiWOS:000304343800020-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridRamsden, DB=7102612805en_HK
dc.identifier.scopusauthoridWaring, RH=7102650741en_HK
dc.identifier.scopusauthoridJarratt, PDB=55097214900en_HK
dc.identifier.scopusauthoridHo, SL=25959633500en_HK
dc.identifier.scopusauthoridHo, PWL=55095070900en_HK
dc.identifier.scopusauthoridTuran, N=35332966800en_HK
dc.identifier.scopusauthoridSung, E=55097747800en_HK

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