Time-course human urine proteomics in space-flight simulation experiments.

ABSTRACT:

Background

Long-term space travel simulation experiments enabled to discover different aspects of human metabolism such as the complexity of NaCl salt balance. Detailed proteomics data were collected during the Mars105 isolation experiment enabling a deeper insight into the molecular processes involved.

Results

We studied the abundance of about two thousand proteins extracted from urine samples of six volunteers collected weekly during a 105-day isolation experiment under controlled dietary conditions including progressive reduction of salt consumption. Machine learning using Self Organizing maps (SOM) in combination with different analysis tools was applied to describe the time trajectories of protein abundance in urine. The method enables a personalized and intuitive view

SUBMITTER: Binder H 

PROVIDER: S-EPMC4303941 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature