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Functional annotation of microRNAs i...

Olarerin-George, Anthony O.

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Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening./
Author:	Olarerin-George, Anthony O.
Description:	197 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:	Dissertation Abstracts International74-10B(E).
Subject:	Cellular biology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565196
ISBN:	9781303147272

Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening.
Olarerin-George, Anthony O.

Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening. - 197 p.

Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.

Thesis (Ph.D.)--University of Pennsylvania, 2013.

MicroRNAs (miRNAs) are a class of regulatory genes whose role in cell biology is increasingly appreciated [1]. In metazoans, miRNAs mediate post-transcriptional regulation by base-pairing with partially complementary sequences in their target transcripts. This interaction with mRNA frequently inhibits its translation but can also result in its deadenylation and consequent degradation [2]. Although estimates vary, miRNAs are thought to target as much as 60% of human genes, highlighting their potential as master regulators of gene expression [3, 4]. However, despite the identification of hundreds of human miRNAs and computational predictions of thousands of their target genes, many lack experimentally validated functions.

ISBN: 9781303147272Subjects--Topical Terms:

3172791
Cellular biology.

Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening.
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100 1 $a Olarerin-George, Anthony O. $3 3185209
245 1 0 $a Functional annotation of microRNAs in signal transduction pathways via high-throughput cell based screening.
300 $a 197 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
500 $a Adviser: John B. Hogenesch.
502 $a Thesis (Ph.D.)--University of Pennsylvania, 2013.
520 $a MicroRNAs (miRNAs) are a class of regulatory genes whose role in cell biology is increasingly appreciated [1]. In metazoans, miRNAs mediate post-transcriptional regulation by base-pairing with partially complementary sequences in their target transcripts. This interaction with mRNA frequently inhibits its translation but can also result in its deadenylation and consequent degradation [2]. Although estimates vary, miRNAs are thought to target as much as 60% of human genes, highlighting their potential as master regulators of gene expression [3, 4]. However, despite the identification of hundreds of human miRNAs and computational predictions of thousands of their target genes, many lack experimentally validated functions.
520 $a Functional genomics methodologies such as cell-based screening (CBS) offer a high-throughput approach to close the gap between the identification of miRNAs and understanding their function. To this end, this thesis examines the role of miRNAs in the regulation of signal transduction pathways using CBS. I identified and characterized novel regulators of NF-kappaB and CREB signaling. Notably, I found miR-517a and miR-517c were potent activators of NF-kappademonstrated that miR-132 could act as a feedback repressor or activator of CREB signaling depending on the pathway stimulus and the promoter makeup of CREB target genes. Lastly, I developed a novel computational pipeline to deduce functional coding components of a pathway by integrating CBS data and miRNA target predictions. Together these studies extend our knowledge of the general function of miRNAs and serve as a resource for their functional output in signal transduction pathways.
590 $a School code: 0175.
650 4 $a Cellular biology. $3 3172791
650 4 $a Molecular biology. $3 517296
650 4 $a Bioinformatics. $3 553671
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710 2 $a University of Pennsylvania. $b Genomics and Computational Biology. $3 2101632
773 0 $t Dissertation Abstracts International $g 74-10B(E).
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791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3565196