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020 ▼a 9781085799706
035 ▼a (MiAaPQ)AAI13895306
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 614.4
1001 ▼a Gasperini, Molly.
24510 ▼a Efficiently Searching for Enhancers and Their Target Genes in the Human Genome.
260 ▼a [S.l.]: ▼b University of Washington., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 185 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
500 ▼a Advisor: Shendure, Jay A.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2019.
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 A single 3 billion letter genome contains the instructions for the 37 trillion diverse cells that make up one human. To accomplish this, the ~21,000 human genes are expressed and perform function in highly specific combinations per cell. Yet, only 2% of the genome codes for genes. The remaining 98% is made up of highly complicated, loosely patterned DNA referred to as "noncoding sequence". Functional noncoding DNA elements (first termed "enhancers" in 1981) regulate cell-type specific gene expression. Like genes, enhancers disruption is known to cause genetic disease. How can we efficiently search for enhancers within the expansive noncoding genome? The new genome engineering technology CRISPR/Cas9 enables parallelized pooled perturbations to efficiently screen enhancers and the genes they target. In this dissertation, I will cover my development of new pooled methods to screen the noncoding genome. In the first chapter, I introduce the motivation for these methods, the history of enhancers, their current definitions, and emerging technologies for enhancers' at-scale characterization. In Chapter 2, I describe a method we devised to scan thousands of CRISPR-induced kilobase-sized deletions ("ScanDel") across a desired noncoding region, programming one unique deletion per cell in a pool and phenotyping them in multiplex by pooled functional selection. However, ScanDel and its contemporaries are limited to evaluating enhancers for their effect upon a single gene. In Chapter 3, I describe a second method designed to overcome this limitation, in which large numbers of CRISPR perturbations are introduced to each cell, followed by single-cell transcriptome sequencing to read out their effect upon any transcript. With this method, we effectively evaluated >70,000 potential enhancer-target gene relationships in one experiment. In Chapter 4, I describe a potential path forward to cataloguing all enhancers in the human genome, and how we might do the same for noncoding variants in human disease.
590 ▼a School code: 0250.
650 4 ▼a Genetics.
650 4 ▼a Bioengineering.
650 4 ▼a Biology.
650 4 ▼a Physiology.
650 4 ▼a Health sciences.
650 4 ▼a Epidemiology.
690 ▼a 0369
690 ▼a 0202
690 ▼a 0306
690 ▼a 0566
690 ▼a 0414
690 ▼a 0766
690 ▼a 0719
71020 ▼a University of Washington. ▼b Genome Sciences.
7730 ▼t Dissertations Abstracts International ▼g 81-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491591 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK