Proteins are functional molecules in living systems and carry out most beneficial and deleterious function that affects life. A single protein may be involved in many different functional pathways and in living cells, interactions among proteins are the single strongest determinants that drive function. Therefore, the greatest opportunity to map coordinates of protein function for unknown or uncharacterized gene products would be presented if protein interaction networks that involve these proteins could visualized. The Protein Interaction Technology Core in this project is the product of many years of development efforts to pioneer new capabilities for visualization of protein interaction networks in live cells. This core will provide novel cross-linking and protein interaction identification technologies to support the overarching goal to place uncharacterized gene products within protein interaction networks in live A. baumannii cells. Through the core efforts to identify cross-linked peptides, interacting partner proteins and topological features of these interactions will be visualized. These data will form the basis of new interaction networks that can be mapped onto existing crystal structures for homologous or orthologous proteins and existing networks in other organisms to help link uncharacterized genes.

Public Health Relevance

Neariy all diseases are mediated by proteins and the ability to comprehend function of uncharacterized proteins requires increased efforts to identify protein-protein interactions that exist in cells. This Core will identify protein-protein interaction networks in the pathogen A. baumannii to help map functionality of uncharacterized genes in these bacteria.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19AI107775-01
Application #
8597723
Study Section
Special Emphasis Panel (ZAI1-FDS-M (M1))
Project Start
Project End
Budget Start
2013-06-24
Budget End
2014-05-31
Support Year
1
Fiscal Year
2013
Total Cost
$184,621
Indirect Cost
$66,737
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Schweppe, Devin K; Chavez, Juan D; Bruce, James E (2016) XLmap: an R package to visualize and score protein structure models based on sites of protein cross-linking. Bioinformatics 32:306-8
Chavez, Juan D; Schweppe, Devin K; Eng, Jimmy K et al. (2016) In Vivo Conformational Dynamics of Hsp90 and Its Interactors. Cell Chem Biol 23:716-26
Baric, Ralph S; Crosson, Sean; Damania, Blossom et al. (2016) Next-Generation High-Throughput Functional Annotation of Microbial Genomes. MBio 7:
Schweppe, Devin K; Zheng, Chunxiang; Chavez, Juan D et al. (2016) XLinkDB 2.0: integrated, large-scale structural analysis of protein crosslinking data. Bioinformatics 32:2716-8
DeBlasio, Stacy L; Chavez, Juan D; Alexander, Mariko M et al. (2016) Visualization of Host-Polerovirus Interaction Topologies Using Protein Interaction Reporter Technology. J Virol 90:1973-87
Wu, Xia; Chavez, Juan D; Schweppe, Devin K et al. (2016) In vivo protein interaction network analysis reveals porin-localized antibiotic inactivation in Acinetobacter baumannii strain AB5075. Nat Commun 7:13414
Schweppe, Devin K; Chavez, Juan D; Navare, Arti T et al. (2016) Spectral Library Searching To Identify Cross-Linked Peptides. J Proteome Res 15:1725-31
Miller, Samuel I (2016) Antibiotic Resistance and Regulation of the Gram-Negative Bacterial Outer Membrane Barrier by Host Innate Immune Molecules. MBio 7:
Gallagher, Larry A; Ramage, Elizabeth; Weiss, Eli J et al. (2015) Resources for Genetic and Genomic Analysis of Emerging Pathogen Acinetobacter baumannii. J Bacteriol 197:2027-35
Gebhardt, Michael J; Gallagher, Larry A; Jacobson, Rachael K et al. (2015) Joint Transcriptional Control of Virulence and Resistance to Antibiotic and Environmental Stress in Acinetobacter baumannii. MBio 6:e01660-15

Showing the most recent 10 out of 13 publications