'Most complete' picture of gene expression in cancer cell cycle caught

Researchers have managed to gather data which details the behavior of protein molecules encoded by over 6000 genes in cancer cells, as they move through the cell cycle. The team has used advances in technology and data analysis to study how genes work over time in cancer cells, as opposed to capturing a `snapshot' of activity -- a leap forward they describe as akin to `jumping from still photography to video'.

The new results from the Dundee team -- carried out in collaboration with the Wellcome Trust Sanger Institute in Cambridge and the University of North Carolina -- have been published in the international journal eLIFE.

Cells are extremely complex environments: at any one time, thousands of different genes are active as molecular templates to produce messenger RNA (mRNA) molecules, which themselves are templates used to produce proteins. However, not all genes are active at all times inside all cells. As cells grow and divide as part of the cell division cycle, genes are switched on and off on a regular basis. Similarly, the patterns of mRNA and protein production are different in, for example, immune system and skin cells.

"What we have been able to produce is a detailed analysis of protein activity in human cancer cells that exceeds what was previously possible," said the project leader Professor Angus Lamond, of the College of Life Sciences at Dundee. "It is essential to study how gene activity varies over time if we are to understand the complex processes in cancer cells, as the dynamic is changing all the time.

"Previously it has been possible to capture a time-averaged snapshot of this activity, but what we can now do is give a much fuller picture."

Dr Tony Ly, the lead researcher on the project in Professor Lamond's team, said, "This work provides a better understanding of the complex relationship between the levels of an mRNA and its corresponding protein product. It also demonstrates how it may be possible to detect subtle but important differences between cell types and disease states, including different types of cancer."

The work of the Dundee team providing this new high-resolution mapping of gene expression at the protein level offers great promise also for the future development of safer new drugs. Almost all drugs directly or indirectly affect proteins.

Proteomics -- the comprehensive detailed analysis of cell proteins -- is rapidly emerging as the next major phase beyond genome analysis, with great potential to improve our understanding of human disease and help the development of new treatments.