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Identification and assessment of the...

St. John's University (New York), School of Pharmacy.

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Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis./
Author:	Carvalho, Felicia Isabel.
Description:	178 p.
Notes:	Adviser: Marc Gillespie.
Contained By:	Dissertation Abstracts International68-03B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256207

Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis.
Carvalho, Felicia Isabel.

Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis. - 178 p.

Adviser: Marc Gillespie.

Thesis (Ph.D.)--St. John's University (New York), School of Pharmacy, 2007.

The identification of biomarkers that can be used to assess toxicity is an important scientific goal. The discovery of these biomarkers would speed drug development and improve toxicological evaluation of chemical exposure. Protein interactions are fundamental to biological processes and biomarkers that identify the state of these processes are needed. Acrylamide and lead produce neurological dysfunction, including biochemical and electrophysiological effects. Protein-protein interactions that are sensitive to these compounds can be used as biomarkers for acrylamide and lead toxicity.Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis.
LDR:02784nam 2200301 a 45 001 861608
005 20100720
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035 $a (UMI)AAI3256207
035 $a AAI3256207
040 $a UMI $c UMI
100 1 $a Carvalho, Felicia Isabel. $3 1029323
245 1 0 $a Identification and assessment of the molecular targets of lead and acrylamide using a novel proteomic system coupled with bioinformatic analysis.
300 $a 178 p.
500 $a Adviser: Marc Gillespie.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1574.
502 $a Thesis (Ph.D.)--St. John's University (New York), School of Pharmacy, 2007.
520 $a The identification of biomarkers that can be used to assess toxicity is an important scientific goal. The discovery of these biomarkers would speed drug development and improve toxicological evaluation of chemical exposure. Protein interactions are fundamental to biological processes and biomarkers that identify the state of these processes are needed. Acrylamide and lead produce neurological dysfunction, including biochemical and electrophysiological effects. Protein-protein interactions that are sensitive to these compounds can be used as biomarkers for acrylamide and lead toxicity.
520 $a Proteomics provides a powerful approach for detecting protein-protein interactions. Here, a two-hybrid proteomic technology was modified to develop biomarkers for acrylamide and lead toxicity. Eight acrylamide sensitive protein interactions and four lead sensitive protein interactions were identified from a set of aproximately 500,000 two-hybrid protein pairs. Computational tools were used to analyze the identified proteins and screen for high confidence biomarkers. High confidence biomarkers for acrylamide were mitochondrial COX subunit 2 and vacuolar ATP synthase 16 kDa proteolipid subunit. Triosephosphate isomerase was identified as a biomarker for lead. Networks containing the identified biomakers were generated using protein domain, GO annotation and protein interaction data. Acrylamide effected networks were protein synthesis, mitochondrial electron transport and vacuolar proton transport processes. Lead effected networks included protein synthesis, mitochondrial proton translocation processes and glycolysis. The coupling of two-hybrid and bioinformatic analysis identified high confidence arylamide and lead toxicity biomarkers and the processes they function in.
590 $a School code: 1377.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Neuroscience. $3 1017680
650 4 $a Health Sciences, Pharmacology. $3 1017717
650 4 $a Health Sciences, Toxicology. $3 1017752
690 $a 0317
690 $a 0383
690 $a 0419
690 $a 0715
710 2 $a St. John's University (New York), School of Pharmacy. $3 1029322
773 0 $t Dissertation Abstracts International $g 68-03B.
790 $a 1377
790 1 0 $a Gillespie, Marc, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3256207