The development and application of culture-independent approaches (i.e. high throughput sequencing of bacterial and viral community DNA) has generated a profound shift in our understanding of chronic respiratory infections in cystic fibrosis (CF) patients. We now recognize the importance of polymicrobial interactions, environmental conditions and evolutionary adaptations in the progression of CF disease. Yet, a lack of ecological perspective has limited the translation of bench research into effective therapeutic strategies. For example, how do you describe the response of a bacterial community to an environmental condition, without direct measurements of these conditions in vivo? Recently, applications of integrated omics approaches genomics, transcriptomics, proteomics, and metabolomic profiling have shed light on the ecological dynamics of CF bacterial communities, though many outstanding questions remain. This will be the 4th bi-annual meeting of the TSRC CF workshop, which began in 2009 with the goal of building theoretical models of CF lung physiology to identify ecological and evolutionary instabilities. We will explore ecological and evolutionary approaches to modeling the CF lung environment and the microbiota that resides there, with the ultimate goal of devising more effective clinical therapy. In addition to a review of the last few TSRC CF meetings, talks from both basic scientists and clinicians will emphasize new tools and hypotheses about the CF bacterial ecosystem and its relation to disease progression. But as with all good Telluride workshops, the aim is to do research on-site. One-hour talks have been known to last an entire afternoon due to intensive probing from the audience. Come prepared to give chalk talks and/or show slides and plots about your work anything that you feel is important!
Notes:
GOAL: IDENTIFY WEAKNESSES IN THE CYSTIC FIBROSIS ECOSYSTEM THAT CAN BE THERAPUTICALLY EXPLOITED...
Possible Products
A) Models of CF lung that help us identify evolutionary and ecological instabilities
B) Identify missing datasets that are critical for managing CF as an ecosystem
C) Exchange information amongst biologists, clinicians, and mathematicians
Tentative Talks / Discussion Sessions:
Paul Rainey (Massey University & Max Planck Institute for Evolutionary Biology)
Forest Rohwer (SDSU)
Peter Salamon (SDSU)
Doug Conrad (UCSD)
Robert Quinn (SDSU)
Yan Wei Lim (SDSU)
Katrine Whiteson (UC Irvine)
Ryan Hunter (Minnesota)
Megan Bergkessel (Caltech)
Rachel Whittaker (Illinois)
Kirk Harris (Colorado)
Edith Zemanick (Colorado)
Hara Levy (Medical College Wisconsin)
Matt Wargo (Vermont)
Bryan Williams (Minnesota)
Brandie Wagner (Colorado)
If you are interested in attending a meeting, but have not received an invitation, please contact the workshop organizer about availability before registering. Most TSRC meetings are very small, typically only about 25 people.
Telluride Elementary School
447 West Columbia Ave
Telluride C0 81435
Participant | Organization | ||||
Bailey, Barbara | San Diego State University | ||||
Bean, Heather | Arizona State University | ||||
Binder, Kelsey | University of Minnesota | ||||
Carmody, Lisa | University of Michigan | ||||
Carr, Karen | San Juan Bautista School of Medicine | ||||
Caverly, Lindsay | University of Michigan | ||||
Caverly, Lindsay [2nd Reservation] | University of Michigan | ||||
Conrad, Douglas | UC San Diego | ||||
England, Whitney | Whitney | ||||
Felts, Ben | San Diego State University | ||||
Flynn, Jeffrey | University of Minnesota | ||||
garg, neha | University of California, San Diego | ||||
Harris, Kirk | University of Colorado | ||||
Hunter, Ryan | University of Minnesota | ||||
Klapper, Isaac | Temple University | ||||
Lim, Yan Wei | San Diego State University | ||||
Lucas, Sarah | University of Minnesota | ||||
Orazi, Giulia | Dartmouth | ||||
Quinn, Robert | UCSD | ||||
Salamon, Peter | San Diego State University | ||||
Wagner, Brandie | University of Colorado | ||||
Wargo, Matthew | University of Vermont | ||||
Whiteson, Katrine | UC Irvine | ||||
Widder, Stefanie | University of Vienna | ||||