Separating signal from noise in living cells

May 7, 2012
Separating signal from noise in living cells
Dr Clive Bowsher

A mathematician from the University of Bristol has teamed up with a biologist from the University of Edinburgh to address a major problem in molecular biology.

Dr Clive Bowsher, Lecturer at the School of Mathematics, and Professor Peter Swain at Synthetic and Edinburgh co-authored a paper in the showing how to separate ‘signal’ from ‘noise’ when studying the mechanisms of living

Cells make decisions in fluctuating environments using inherently noisy biochemical mechanisms. Such effects create considerable, unpredictable variation – known as ‘stochasticity’– both over time and between genetically identical cells. To understand how cells exploit and control these biochemical fluctuations, scientists must identify the sources of stochasticity, quantify their effects, and distinguish variation that carries information about the biological environment from confounding noise.

In their PNAS paper, Dr Bowsher and Professor Swain show how to decompose the fluctuations of biochemical networks into multiple components and how to design experimental ‘reporters’ to measure these components in living cells.

"The mathematics provides variance decomposition techniques for dynamic systems," said Dr Bowsher. "We were able to make rigorous connections between the concept of intrinsic noise in systems biology, the notion of information capacity used in communications engineering, and a correlation ratio introduced in the 1950s by Alfréd Rényi. We constructed a generalised signal-to-noise measure from the variance components to quantify the efficacy of information flow through a biochemical network."

The paper, which describes the application of this approach to yeast cells, shows that the majority of cellular variation may be informational in origin and due to fluctuations in the cellular environment. The results pave the way to a better understanding of the dynamics of signal processing and decision-making by cells.

"As we understand better how cells respond to their environments, we will be better placed to control their behaviour in situ," said Dr Bowsher, "for example enabling the delivery by synthetic cells of drugs to the right place in the body at the right time."

Explore further: New models question old assumptions about how many molecules it takes to control cell division

More information: www.pnas.org/content/early/2012/04/20/1119407109.abstract

Related Stories

Recommended for you

Ancient walnut forests linked to languages, trade routes

September 4, 2015

If Persian walnut trees could talk, they might tell of the numerous traders who moved along the Silk Roads' thousands of miles over thousands of years, carrying among their valuable merchandise the seeds that would turn into ...

Huddling rats behave as a 'super-organism'

September 3, 2015

Rodents huddle together when it is cold, they separate when it is warm, and at moderate temperatures they cycle between the warm center and the cold edges of the group. In a new study published in PLOS Computational Biology, ...

Fighting explosives pollution with plants

September 3, 2015

Biologists at the University of York have taken an important step in making it possible to clean millions of hectares of land contaminated by explosives.

1 comment

Adjust slider to filter visible comments by rank

Display comments: newest first

FieryJack
not rated yet May 08, 2012
Nice to see this discussion from another aspect. Hancock, Kholodenko and Kolch came to much the same conclusions and correlated their math with signaling pathways in mammalian cells. What we need now is to intergrate these molecular biological responses into tissue or organismal level algorithms to aid predicitive pharmacology.

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.