RNA molecules, like proteins, fold into specific three-dimensional structures that are required for their biological function. However, our understanding of how RNA molecules attain their native conformations is in its infancy. This Program Project proposes to investigate the mechanism of RNA folding through the integrated application of approaches that each report unique and complementary aspects of the folding reaction, including single molecule fluorescence and force measurements, time-resolved small angle x-ray scattering, time-resolved x-ray """"""""footprinting"""""""", computation and enzymology. This arsenal of approaches will be focused on the folding of a single RNA, a ribozyme derived from the self-splicing group I intron of Tetrahymena thermophila. The Tetrahymena ribozyme is the best-understood ribozyme in terms of its structure, folding and catalytic mechanism, and its large size (approximately 400 nucleotides) provides ample three-dimensional structural complexity for investigation of fundamental features of RNA tertiary structure formation. The proposed studies have extensive synergy in their reporting of global and local structure, single molecule and ensemble averages, and will further develop the Tetrahymena ribozyme as a paradigm for future studies comparing and contrasting the behavior of other RNA molecules. The information obtained from this Program will also allow comparison with the folding behavior of proteins, revealing which properties are specific to each class of macromolecule and which are common to both; the common properties may be fundamental to macromolecules that adopt specific biologically active structures. An understanding of the fundamental behavior of RNA provides a starting point for determining how its behavior may be altered, controlled, or augmented by cellular interactions and in therapeutic intervention. Knowledge of these fundamental properties will provide a foundation for studies focusing on the cellular behavior of RNA, on the role of RNA in disease, and on the potential use of RNA as a drug target or therapeutic.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Program Projects (P01)
Project #
5P01GM066275-05
Application #
7239655
Study Section
Special Emphasis Panel (ZRG1-PBC (02))
Program Officer
Lewis, Catherine D
Project Start
2003-06-06
Project End
2010-05-31
Budget Start
2007-06-01
Budget End
2010-05-31
Support Year
5
Fiscal Year
2007
Total Cost
$1,750,476
Indirect Cost
Name
Stanford University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Liu, Bei; Merriman, Dawn K; Choi, Seung H et al. (2018) A potentially abundant junctional RNA motif stabilized by m6A and Mg2. Nat Commun 9:2761
Denny, Sarah Knight; Bisaria, Namita; Yesselman, Joseph David et al. (2018) High-Throughput Investigation of Diverse Junction Elements in RNA Tertiary Folding. Cell 174:377-390.e20
Kimsey, Isaac J; Szymanski, Eric S; Zahurancik, Walter J et al. (2018) Dynamic basis for dG•dT misincorporation via tautomerization and ionization. Nature 554:195-201
Merriman, Dawn K; Yuan, Jiayi; Shi, Honglue et al. (2018) Increasing the length of poly-pyrimidine bulges broadens RNA conformational ensembles with minimal impact on stacking energetics. RNA 24:1363-1376
Gracia, Brant; Al-Hashimi, Hashim M; Bisaria, Namita et al. (2018) Hidden Structural Modules in a Cooperative RNA Folding Transition. Cell Rep 22:3240-3250
Zettl, Thomas; Das, Rhiju; Harbury, Pehr A B et al. (2018) Recording and Analyzing Nucleic Acid Distance Distributions with X-Ray Scattering Interferometry (XSI). Curr Protoc Nucleic Acid Chem 73:e54
Ganser, Laura R; Lee, Janghyun; Rangadurai, Atul et al. (2018) High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble. Nat Struct Mol Biol 25:425-434
Boyle, Evan A; Andreasson, Johan O L; Chircus, Lauren M et al. (2017) High-throughput biochemical profiling reveals sequence determinants of dCas9 off-target binding and unbinding. Proc Natl Acad Sci U S A 114:5461-5466
Bisaria, Namita; Jarmoskaite, Inga; Herschlag, Daniel (2017) Lessons from Enzyme Kinetics Reveal Specificity Principles for RNA-Guided Nucleases in RNA Interference and CRISPR-Based Genome Editing. Cell Syst 4:21-29
Gleitsman, Kristin R; Sengupta, Raghuvir N; Herschlag, Daniel (2017) Slow molecular recognition by RNA. RNA 23:1745-1753

Showing the most recent 10 out of 126 publications