DNA-binding proteins bind to specific sequences to direct their activity to defined loci in the genome. Regulation of gene expression, for example, is dependent on the recognition of specific DNA sequences by transcription factors (TFs). These TFs receive input from cellular signals to control panels of genes to meet the needs of the cells. Critical to this function is the recognition and binding of TFs to the correct DNA sequence. The main focus of this thesis is to quantitatively determine how proteins, including TFs, distinguish DNA sequences, and to understand how DNA sequence affect their function. Primarily using the Glucocorticoid receptor (GR) as the model TF, I developed novel methods to measure the DNA binding specificity over long binding sites. These methods: 1) Distinguished the sequence specificity of GR and closely related androgen receptor (AR), which helped to both account for differential genomic localization between the two factors, and explained how GR can functionally substitute for AR in castration-resistant prostate cancer (Chapter II); 2) Explored the effect of DNA sequence on GR-regulated transcription through the specification of monomeric versus dimeric binding. Sequence motifs that bias GR binding toward the monomeric state were discovered (Chapter III); 3) Demonstrated a conserved role of intrinsic specificity in directing the degree of GR genomic occupancy in vivo in a fixed chromatin context (Chapter V); 4) Quantitatively modeled and decoupled the DNA binding and cleavage specificities of CRISPR-Cas9 system, providing a rapid pipeline to characterize the genome-editing reagents (Chapter IV). In summary, we showed here that DNA binding specificity is only the initial step in directing the activity of the bound protein. Beyond the affinity-based recruitment, DNA sequences can regulate the protein activity through alternative mechanisms, such as modulating the binding cooperativity, or directly serving as an allosteric ligand for protein function that is independent of DNA binding affinity.
Defining the DNA binding energetics of the glucocorticoid receptor
Abstract
Details
- Title: Subtitle
- Defining the DNA binding energetics of the glucocorticoid receptor
- Creators
- Liyang Zhang - University of Iowa
- Contributors
- Miles A. Pufall (Advisor)Ernesto Fuentes (Committee Member)David H. Price (Committee Member)Todd Washington (Committee Member)Marc S. Wold (Committee Member)Jacob J. Michaelson (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Biochemistry
- Date degree season
- Autumn 2017
- DOI
- 10.17077/etd.pm6dvzac
- Publisher
- University of Iowa
- Number of pages
- xv, 199 pages
- Copyright
- Copyright © 2017 Liyang Zhang
- Comment
This thesis has been optimized for improved web viewing. If you require the original version, contact the University Archives at the University of Iowa: https://www.lib.uiowa.edu/sc/contact/.
- Language
- English
- Date submitted
- 05/04/2018
- Description illustrations
- color illustrations
- Description bibliographic
- Includes bibliographical references.
- Public Abstract (ETD)
Each person has more than 20,000 genes scattered throughout their genome, but they are not all used at the same time. Depending on the tissue and environmental conditions, subsets of these genes are turned on and off, or regulated, to meet the needs of the cells and the organism. How the right genes are regulated at the right time is not clear, but it must be done with precision to properly maintain cells. Transcription factors are specialized proteins that direct regulation of genes. They do so by sticking to places in the genome and regulating nearby genes. Which set of genes is controlled is dependent on where these proteins bind. In this dissertation, I study how transcription factors find the right place to stick in the genome to regulate the correct genes. Transcription factors use a number of sources of information to find the right place to stick, but perhaps the most important factor is the DNA sequence itself. Each transcription factor is tailored to bind specific DNA sequences that help it home in on the right place to stick. Using primarily the human glucocorticoid receptor (GR) as an example transcription factor, I developed methods to make highly accurate models for binding to any possible DNA sequence. These models were useful for: 1) understanding how GR substitutes for a very similar transcription factor, the androgen receptor, to drive prostate cancer growth; 2) determining how DNA sequence influences the choice of whether a gene gets turned on or off; and 3) understanding how a DNA-binding protein that cuts DNA, CRISPR-Cas9, both reads and is influenced by DNA sequence. The third of these projects will have a profound effect on how this revolutionary technology can be better tailored to enable precise editing of the human genome to help cure disease.
- Academic Unit
- Biochemistry and Molecular Biology
- Record Identifier
- 9983777271502771