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The Landscape of the Human Intergeni...

Vaughn, Ian William.

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The Landscape of the Human Intergenic Transcriptome.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Landscape of the Human Intergenic Transcriptome./
Author:	Vaughn, Ian William.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:	Dissertation Abstracts International75-11B(E).
Subject:	Cellular biology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630128
ISBN:	9781321078367

The Landscape of the Human Intergenic Transcriptome.
Vaughn, Ian William.

The Landscape of the Human Intergenic Transcriptome. - 142 p.

Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.

Thesis (Ph.D.)--University of California, San Francisco, 2014.

This item must not be sold to any third party vendors.

Known protein coding gene exons compose less than 3% of the human genome. The remaining 97% is largely uncharted territory, with only a small fraction characterized. The recent observation of transcription in this intergenic territory has stimulated debate about the extent of intergenic transcription and whether these intergenic RNAs are functional. Here we directly observed with a large set of RNA-seq data covering a wide array of human tissue types that the majority of the genome is indeed transcribed, corroborating recent observations by the ENCODE project. Furthermore, using de novo transcriptome assembly of this RNA-seq data, we found that intergenic regions encode far more long intergenic noncoding RNAs (lincRNAs) than previously described, helping to resolve the discrepancy between the vast amount of observed intergenic transcription and the limited number of previously known lincRNAs. Given that most lincRNAs have no known function, the use and development of high-throughput strategies for identifying gene function will be an important component of efforts understand the biological roles played by noncoding RNAs. Here, we begin to develop a genetic interaction mapping platform for the rapid elucidation of gene function in death receptor signaling pathways.

ISBN: 9781321078367Subjects--Topical Terms:

3172791
Cellular biology.

The Landscape of the Human Intergenic Transcriptome.
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100 1 $a Vaughn, Ian William. $3 3174699
245 1 4 $a The Landscape of the Human Intergenic Transcriptome.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
500 $a Adviser: Michael McManus.
502 $a Thesis (Ph.D.)--University of California, San Francisco, 2014.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Known protein coding gene exons compose less than 3% of the human genome. The remaining 97% is largely uncharted territory, with only a small fraction characterized. The recent observation of transcription in this intergenic territory has stimulated debate about the extent of intergenic transcription and whether these intergenic RNAs are functional. Here we directly observed with a large set of RNA-seq data covering a wide array of human tissue types that the majority of the genome is indeed transcribed, corroborating recent observations by the ENCODE project. Furthermore, using de novo transcriptome assembly of this RNA-seq data, we found that intergenic regions encode far more long intergenic noncoding RNAs (lincRNAs) than previously described, helping to resolve the discrepancy between the vast amount of observed intergenic transcription and the limited number of previously known lincRNAs. Given that most lincRNAs have no known function, the use and development of high-throughput strategies for identifying gene function will be an important component of efforts understand the biological roles played by noncoding RNAs. Here, we begin to develop a genetic interaction mapping platform for the rapid elucidation of gene function in death receptor signaling pathways.
590 $a School code: 0034.
650 4 $a Cellular biology. $3 3172791
650 4 $a Bioinformatics. $3 553671
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710 2 $a University of California, San Francisco. $b Biophysics. $3 1029345
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630128