Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 102, Issue 10, Pages 3840-3845Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.0409777102
Keywords
Akt; proportional hazard analysis; survival analysis
Categories
Funding
- NIA NIH HHS [P01 AG 022074, P01 AG022074] Funding Source: Medline
- NINDS NIH HHS [R01 NS039074, R24 NS045491, R01 NS 45491, R01 NS 39074] Funding Source: Medline
Ask authors/readers for more resources
Unraveling cause-and-effect relationships in the nervous system is challenging because some biological processes begin stochastically, take a significant amount of time to unfold, and affect small neuronal subpopulations that can be difficult to isolate and measure. Single-cell approaches are slow, subject to user bias, and sometimes too laborious to achieve sample sizes large enough to detect important effects. Here, we describe an automated imaging and analysis system that enables us to follow the fates of individual cells and intracellular proteins over time. Observations can be quantified in a high-throughput manner with minimal user bias. We have adapted survival analysis methods to determine whether and how factors measured during longitudinal analysis predict a particular biological outcome. The ability to monitor complex processes at single-cell resolution quickly, quantitatively, and over long intervals should have wide applications for biology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available