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An interdisciplinary approach to study the dynamic patterning of follicle cells

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Title
An interdisciplinary approach to study the dynamic patterning of follicle cells
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Revaitis
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Nicole Theresa
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1986-
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Nicole Revaitis
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author
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Nir Yakoby
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chair
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Piccoli
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Benedetto
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Benedetto Piccoli
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internal member
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Jongmin
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Jongmin Nam
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Advisory Committee
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internal member
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Schüpbach
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Gertrud
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Gertrud Schüpbach
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Advisory Committee
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outside member
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Rutgers University
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degree grantor
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Camden Graduate School
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school
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theses
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2019
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2019-05
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2019
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English
Abstract
Organogenesis requires the spatiotemporal coordination of numerous cell signaling pathways. While many pathways have been investigated, the mechanism for ligand dispersal and quantitative analysis of signaling induction is largely unknown. The epidermal growth factor receptor (EGFR) signaling pathway is activated multiple times in tissues throughout development. In oogenesis, the TGF-α-like ligand, Gurken (GRK), is secreted from around the oocyte nucleus where it activates the EGFR in the overlying follicle cells. In addition to the multiple components of the pathway, the compartments of the egg chamber are changing along with the position of GRK. To study how signaling is regulated in time and space, we developed a mathematical model to recapitulate the dynamics of EGFR signaling in oogenesis. While some parameters were acquired from the literature, others were obtained through genetic perturbations and quantitative analysis. For example, we used CRISPR/Cas9 to generate a homozygous viable EGFR tagged with GFP. Using this fly, we followed the dynamic localization of GRK and EGFR. Importantly, using ELISA, we quantified the number of EGFR molecules per cell during stages 8-14 of oogenesis and stages 2 and 5 of embryogenesis.
While patterning of the follicular epithelium has been extensively studied, information about their regulation is mostly unknown. To better understand this regulation, we took advantage of the FlyLight collection that contains over 7,000 intergenic and intronic DNA fragments that can potentially drive the transcription factor GAL4. Cross listing the 84 genes known to be expressed during oogenesis with the 1200 genes in the FlyLight collection found 22 common genes that are represented by 281 fly lines. Of these lines, 61 show expression patterns in the follicle cells when crossed to a UAS-GFP reporter. Of the 61 lines, 19 recapitulate the full or partial pattern of the endogenous gene pattern. Mapping the distribution of all 61 lines, we found a significant enrichment of enhancers in the first intron in comparison to the 5’ proximal or distal regions of the gene model. Since all lines drive a GAL4 transcription factor, thus offering valuable resource for genetic manipulations. Our screen provides further evidence that complex gene-patterns are regulated combinatorially by enhancers controlling expression in simple domains.
Subject (authority = ETD-LCSH)
Topic
Oogenesis
Subject (authority = RUETD)
Topic
Computational and Integrative Biology
Subject (authority = ETD-LCSH)
Topic
Drosophila -- Genetics -- Mathematical models
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Rutgers University Electronic Theses and Dissertations
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Note
Supplementary File: Figure 1
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1 online resource (xi, 86 pages) : illustrations
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Ph.D.
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Includes bibliographical references
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Includes vita
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Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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doi:10.7282/t3-x06b-7t04
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ETD doctoral
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Revaitis
GivenName
Nicole
MiddleName
Theresa
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Permission or license
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2019-05-03 12:24:28
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Nicole Theresa Revaitis
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Affiliation
Rutgers University. Camden Graduate School
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Embargo
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2019-05-31
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2020-05-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 30th, 2020.
Copyright
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Copyright protected
Availability
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Open
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Permission or license
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