Identification of novel dioxin-responsive genes by representational difference analysis.

Identification of novel dioxin-responsive genes by representational difference analysis. Research Abstract Details 

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Identification of novel dioxin-responsive genes by representational difference analysis. Abstract Text:

S P Rivera,S T Saarikoski,W Sun,O Hankinson,

Representational difference analysis (RDA) was employed on dioxin-stimulated Hepa-1 mouse hepatoma cells (human breast cancer) MCF-7 cells, mouse liver, and mouse thymocytes in order to identify novel responder genes to dioxin. In addition to several clones representing known dioxin-inducible genes, several clones were isolated that represented genes that were previously not known to be inducible by dioxin, including B94 (also known as tumour necrosis factor alpha-induced protein 2 (Tnfaip2), Seven in absentia homologue 2 (Siah2), the mouse homologue of Bob/Gpr15, and S-adenosyl-homocysteine hydrolase (Sahh, Ahcy). Induction of these genes by dioxin in Hepa-1 cells was rapid. Furthermore, induction occurred in the presence of the protein synthesis inhibitor cycloheximide, indicating that in each case induction is a primary response.

Identification of novel dioxin-responsive genes by representational difference analysis. Publishing Authors By Initials

SP Rivera,ST Saarikoski,W Sun,O Hankinson,

For similar natural sciences: time: time factors research abstracts see: natural sciences: time: time factors research

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Identification of novel dioxin-responsive genes by representational difference analysis. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: Xenobiotica; the fate of foreign compounds in biol

VOLUME: 37

Page Numbers: 271-9

Journal Abbreviation: Xenobiotica

ISSN: 0049-8254

DAY: 3

MONTH: Mar

YEAR: 2007

Identification of novel dioxin-responsive genes by representational difference analysis. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 1306665

Identification of novel dioxin-responsive genes by representational difference analysis. Keywords Mesh Terms:

KEYWORDS: Time Factors

MESH TERMS: metabolism

Chemical & Substance for Abstract: Identification of novel dioxin-responsive genes by representational difference analysis. Information

Substance Name: Receptors, G-Protein-Coupled

Registry Number: 0

Grant and Affiliation Information for Identification of novel dioxin-responsive genes by representational difference analysis.

AFFILIATION: Department of Pathology and Laboratory Medicine, and Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA.

Country: England

AGENCY: United States NCI

GRANT: R01CA28868

ACRONYM: CA

MEDLINETA: Xenobiotica

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