2008
DOI: 10.3724/sp.j.1005.2008.00809
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Gene expression profiling in drug addicted brain

Abstract: Drug addiction, a chronic brain disease caused by interaction of in vitro drug toxification and in vivo gene susceptibility, has been widely studied but its underlining mechanism is so far been elucidated. A major goal in this field is to identify drug-induced molecular changes and their effects on brain function. By the advance of high throughput technologies in genomics and transcriptomics, the whole gene expression profile in addicted brain could be obtained and proved to be a very powerful tool to unclose … Show more

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Cited by 2 publications
(2 citation statements)
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“…This dramatic reduction in the number of elements resulted from similar clinical procedures in most hospitals. Second, the framework of Diagnostics [ 16 ] knowledge and the approaches of the HL7 CCD, the IHE PCC and the HITSP for assembling templates and modules were considered together to propose the DGs' architecture. Third, the proposed DGs were used to construct 145 clinical record sheets as a pilot study to test their integrality.…”
Section: Methodsmentioning
confidence: 99%
“…This dramatic reduction in the number of elements resulted from similar clinical procedures in most hospitals. Second, the framework of Diagnostics [ 16 ] knowledge and the approaches of the HL7 CCD, the IHE PCC and the HITSP for assembling templates and modules were considered together to propose the DGs' architecture. Third, the proposed DGs were used to construct 145 clinical record sheets as a pilot study to test their integrality.…”
Section: Methodsmentioning
confidence: 99%
“…The raw data that support the findings in this study have been deposited into National Genomics Data Center (NGDC) 54 Genome Sequence Archive (GSA) 55 database with the accession number CRA012221 56 under the BioProject accession number PRJCA018778. All the above sequencing and analysis data in this study is also available in CNGB Sequence Archive (CNSA) 57 of China National GeneBank DataBase (CNGBdb) 58 with accession number CNP0004258.…”
Section: Data Recordsmentioning
confidence: 99%