MARC 主機 00000nam a2200541K  4500 
001    AAI27726326 
005    20201105110322.5 
006    m     o  d         
007    cr mn ---uuuuu 
008    201105s2019    miu     sbm   000 0 eng d 
020    9781392878248 
035    (MiAaPQ)AAI27726326 
035    (MiAaPQ)0098vireo4626Bettridge 
040    MiAaPQ|beng|cMiAaPQ|dNTU 
100 1  Bettridge, Kelsey Elaine 
245 10 Probing The Dynamics of RNA Polymerase and Hu in Live E. 
       coli Cells 
264  0 |c2019 
300    1 online resource (185 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    Source: Dissertations Abstracts International, Volume: 81-
       08, Section: B 
500    Advisor: Wolberger, Cynthia 
502    Thesis (Ph.D.)--The Johns Hopkins University, 2019 
504    Includes bibliographical references 
520    Diffusion is at the heart of every biochemical process. 
       Millions of proteins must navigate the heterogeneous, 
       crowded cellular milieu to perform their various tasks. 
       This molecular crowding has a significant effect on the 
       diffusive behavior and kinetic rates of proteins and 
       biochemical reactions. A powerful technique to understand 
       biochemical processes within the context of this 
       heterogeneous environment is single particle tracking 
       (SPT). In Chapter 2, I use SPT to elucidate the dynamics 
       of the RNAP search process and transcription cycle in live
       E. coli cells. Using FRAP, I find that transcription 
       follows a simple initiation-elongation-termination cycle 
       with kinetic rates that closely match those in the 
       literature. Using SPT, I probed the search process of RNAP
       and found three diffusive states corresponding to DNA-
       bound, diffusion within the dense nucleoid, and diffusion 
       within the cytoplasm. RNAP exhibited confinement in each 
       state and displayed a preference for a DNA-bound state, 
       suggesting a grid search strategy. Additionally, RNAP 
       displayed kinetics that were not consistent with steady 
       state kinetics. In Chapter 3, I use SPT to probe the 
       molecular mechanism of HU-mediated chromosome 
       organization. Using genetic mutations that abolish the 
       various binding modes of HU, I find that HUαα and HUαβ 
       displayed differential dynamics. Additionally, HUαα seems 
       primarily responsible for non-specific binding while HUαβ 
       seems primarily responsible for repressor loop formation. 
       The kinetics of HU were highly transient, indicative of 
       their non-specific binding across the nucleoid, and 
       suggested a mechanism by which cumulative forces of 
       thousands of HU are able to achieve chromosomal 
       organization, a marked departure from the long-lived 
       binding of other DNA organization proteins such as 
       histones 
533    Electronic reproduction.|bAnn Arbor, Mich. :|cProQuest,
       |d2020 
538    Mode of access: World Wide Web 
650  4 Microbiology 
650  4 Optics 
650  4 Biophysics 
653    Biophysics 
653    Single particle tracking 
653    Diffusion 
653    Fluorescence microscopy 
653    Gene regulation 
653    Chromosome organization 
653    Nucleoid organization 
653    RNA polymerase 
653    DNA-binding protein 
655  7 Electronic books.|2local 
690    0786 
690    0410 
690    0752 
710 2  ProQuest Information and Learning Co 
710 2  The Johns Hopkins University.|bProgram in Molecular 
       Biophysics 
773 0  |tDissertations Abstracts International|g81-08B 
856 40 |uhttp://pqdd.sinica.edu.tw/twdaoapp/servlet/
       advanced?query=27726326|zclick for full text (PQDT) 
912    PQDT 
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