The genomic revolution has been empowered by technologies that have determined a vast pool of genetic information. While nucleic acids encode this information, it is the proteins that act on it. Proteins are incredibly diverse in their abundance and their properties, making them highly versatile for the dynamic tasks at hand but at the same time exceptionally difficult to analyze. It is for these reasons that the proteomic revolution still lags behind the genomic revolution. Indeed, the comprehensive analysis of the dynamic properties of proteins in cells is still largely beyond current capabilities. Here, we seek to revolutionize proteomics by synergistically combining improvements in established techniques with new approaches. By creating a National Center for Dynamic Interactome Research, we will be coupling an established mass spectrometry resource, cell biology laboratories, a systems biology resource, a structural biology center, and a computational biology center. We will overcome major bottlenecks in four key areas of proteomics technology. First, we will reform the production stage for generating intact macromolecular complexes, so that we will be able to freeze a tagged macromolecular complex in place, within moments of visualizing its position in the cell, and then isolate it together with all its components and neighbors. Second, we will optimize the analysis of each complex such that its macromolecular composition, structure, and interactions will be analyzed and quantified. Third, we will gather data on the time-dependent changes in complexes as they perform dynamic cellular processes. Fourth, we will develop software to integrate our data and represent in unprecedented detail the actions of the macromolecular players in dynamic subcellular assemblies. We will seek to make these techniques rapid, robust and routine by beta testing them in several experimental systems, that (i) represent key pieces of the cellular information pathway and that (ii) present specific technological roadblocks that have been generally acknowledged by the field. We will refine our technologies by determining how to overcome these roadblocks.

Public Health Relevance

As part of the larger NIH roadmap, the aim of the Center will be to create new and useful tools to elucidate the dynamics of macromolecular interactions, and to spread these tools amongst the biomedical community. The Center will empower the community to assemble the kinds of detailed, dynamic representations of the interactions in the cell that will help elucidate the principles underlying all cellular processes, thus bridging the gaps between functional genomics, proteomics, structural biology and systems biology. These tools will enable researchers to delve into the molecular details of biological processes with unprecedented facility. The resulting insights have the potential to impact all areas of medical research, from fundamental discovery to pharmaceutical development.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54RR022220-07
Application #
8129432
Study Section
Special Emphasis Panel (ZRG1-BST-D (50))
Program Officer
Sheeley, Douglas
Project Start
2005-09-30
Project End
2014-07-31
Budget Start
2011-08-01
Budget End
2012-07-31
Support Year
7
Fiscal Year
2011
Total Cost
$3,234,972
Indirect Cost
Name
Rockefeller University
Department
Biology
Type
Other Domestic Higher Education
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065
Herricks, Thurston; Mast, Fred D; Li, Song et al. (2017) ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth. J Vis Exp :
Upla, Paula; Kim, Seung Joong; Sampathkumar, Parthasarathy et al. (2017) Molecular Architecture of the Major Membrane Ring Component of the Nuclear Pore Complex. Structure 25:434-445
Hayama, Ryo; Rout, Michael P; Fernandez-Martinez, Javier (2017) The nuclear pore complex core scaffold and permeability barrier: variations of a common theme. Curr Opin Cell Biol 46:110-118
Herricks, Thurston; Dilworth, David J; Mast, Fred D et al. (2017) One-Cell Doubling Evaluation by Living Arrays of Yeast, ODELAY! G3 (Bethesda) 7:279-288
Fernandez-Martinez, Javier; Kim, Seung Joong; Shi, Yi et al. (2016) Structure and Function of the Nuclear Pore Complex Cytoplasmic mRNA Export Platform. Cell 167:1215-1228.e25
Cimermancic, Peter; Weinkam, Patrick; Rettenmaier, T Justin et al. (2016) CryptoSite: Expanding the Druggable Proteome by Characterization and Prediction of Cryptic Binding Sites. J Mol Biol 428:709-719
Zhong, Yu; Morris, Deanna H; Jin, Lin et al. (2014) Nrbf2 protein suppresses autophagy by modulating Atg14L protein-containing Beclin 1-Vps34 complex architecture and reducing intracellular phosphatidylinositol-3 phosphate levels. J Biol Chem 289:26021-37
Zeng-Elmore, Xiaohui; Gao, Xiong-Zhuo; Pellarin, Riccardo et al. (2014) Molecular architecture of photoreceptor phosphodiesterase elucidated by chemical cross-linking and integrative modeling. J Mol Biol 426:3713-3728
Webb, Benjamin; Lasker, Keren; Velázquez-Muriel, Javier et al. (2014) Modeling of proteins and their assemblies with the Integrative Modeling Platform. Methods Mol Biol 1091:277-95
Zhang, Xiaojun; Dantas Machado, Ana Carolina; Ding, Yuan et al. (2014) Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling. Nucleic Acids Res 42:2789-97

Showing the most recent 10 out of 141 publications