UCLA CTSI K-to_R Workshop, October 29, 2015 Presenter: Scott G. Filler, MD Professor-in-Residence of Medicine at UCLA and Harbor-UCLA Medical Center Co-leader, CTSI Center for Translational Technologies

1. Approach
(Basic Science)
Scott G. Filler, M.D.
Los Angeles Biomedical Research Institute
at Harbor-UCLA Medical Center

2. Approach--Overall Layout
• Preliminary data
• Aim 1
o Rationale and overall approach
o Experimental methods
o Anticipated results
o Alternative outcomes (potential pitfalls)
o Future directions
• Aim 2
o Rationale and overall approach
o Experimental methods
o Anticipated results
o Alternative outcomes (potential pitfalls)
o Future directions

3. Approach--Alternate
Layout
• Aim 1
o Preliminary data
o Rationale and overall approach
o Experimental methods
o Anticipated results
o Alternative outcomes (potential pitfalls)
o Future directions
• Aim 2
o Preliminary data
o Rationale and overall approach
o Experimental methods
o Anticipated results
o Alternative outcomes (potential pitfalls)
o Future directions

4. Preliminary Data
• Present compelling preliminary
data
o Supports rationale for the work
o Demonstrates feasibility
o Sparks interest, but leaves reviewer
wanting to learn more
• Potential pitfalls in prelim data
o Clear weaknesses
o Supports alternative hypothesis

5. Approach
• Describe overall approach and
the controls
• Need power calculations for
animal studies
• Many details of animal studies can
be move to Vertebrate Animals
section

6. Approach
• Potential pitfalls
o One aim depend on another *
o Excessive detail
• Detracts from overall message
• Target for criticism
o Densely written prose
“If reading a grant gives the reviewer a
headache, that grant is unlikely to
receive a good score”

7. Anticipated Results and
Potential Pitfalls
• What do you think the results will be?
• Creativity and flexible thinking very
important
• Make sure alternative outcomes are
also interesting
• Never present a potential pitfall for
which you don’t have a good solution

8. Future Directions
• Where is your research going?
• What will be its impact?
• How can the specific
information learn be applied
to a broader question?