Abstract

In recent years, metabolomics has risen as a hot topic of study. Deciphering how the metabolome is regulated by the central dogma, i.e. DNA, RNA or protein expression, is of huge interest to the scientific community now [1]. However, although well-established methods are available for the independent analysis of protein expression or metabolome profile, it has been difficult to connect metabolome profiling results to protein expression patterns in living cells.

© 2016 Japan Society of Applied Physics, Optical Society of America