Systems Biology poised to revolutionize the understanding of cell function and disease
Sep 7, 2007 - 4:00:00 AM
|
|
|
Ursula Klingm�ller, from the Systems Biology of Signal Transduction Group, DKFZ, in Heidelberg, Germany insists that the road to success will depend on standardising experimental techniques to avoid conflicting data. The HepatoSys consortium, for instance, that models liver function, agreed at the outset to use data from only one inbred mouse strain.
|
By European Science Foundation,
[RxPG] Systems Biology is transforming the way scientists think about biology and disease. This novel approach to research could prompt a shake up in medical science and it might ultimately allow clinicians to predict and treat complex diseases such as diabetes, heart failure, cancer, and metabolic syndrome for which there are currently no cures.
The European Science Foundation (ESF) has published a Forward Look (FL) report System Biology: a grand challenge for Europe; an attempt to identify how research in Systems Biology could be accelerated and developed further in Europe. The report concludes with a set of specific recommendations that aims at consolidating Systems Biology efforts in Europe. The idea of this ESF initiated FL first came to light with a proposal by the Netherlands Organization for Health Research and Development (ZonMw) and the NWO Council for Earth and Life Sciences in the Netherlands. The proposal was later materialised into concrete effort based on extensive discussions during a number of focused workshops and meetings between scientists and policy makers from academia and industry.
The report, which includes 12 essays from the scientific experts in academia and industry, illustrates �Europe�s potential to be at the forefront of pinpointing the system causes of diseases,� according to Dr. John Marks, the chief executive of the ESF.
The report tells us �it is necessary to develop a well coordinated effort, bringing together the many different research activities in Europe, and complement this with joint development of basic technologies, reference labs and training a new generation of researchers,� adds Marks.
Until recently, researchers tended to focus on identifying individual genes and proteins and pinpointing their role in the cell or the human body. But molecules almost never act alone. According to Lilia Alberghina from the University of Milano-Bicocca, Italy: �There is a growing awareness in medical science that biological entities are �systems� � collections of interacting parts.�
Mathias Reuss from the University of Stuttgart, Germany, warns that modelling the �big picture� must be tightly linked to experimental findings. It is no use flooding computers with �omic� data �genome, proteome, metabolome � and expect a data-driven miracle.
The tools for understanding the key processes of life are already within reach, argues Roel van Driel from the University of Amsterdam and Netherlands Institute for Systems Biology and co-chair of the ESF Forward Look on Systems Biology. In the next 10 years, he predicts, it will bring about major benefits to society. But success will depend on the cooperative efforts of large numbers of investigators rather than on individual research groups.
As Systems Biology progresses, it will be possible to synthesise new life forms from scratch. Uwe Sauer of the Institute of Molecular Systems Biology, ETH, in Zurich, Switzerland believes that a systems-perspective, rather than the current gene-centric view, could �open up entirely new options for the production of chemicals, food products and in plant breeding.�
To build realistic models of cells, tumours, or whole organisms and run them on a computer, scientists will want a mathematical tool box that can cope with complex behaviours. �An entirely new mathematics will be needed�, insists Mats Gyllenberg, University of Helsinki, Finland.
Modelling cellular networks in space and time will also depend on a close collaboration with the engineering and physical sciences, adds Olaf Wolkenhauser from the University of Rostock, Germany. But the main bottle-neck will be the storage of the masses of dynamic information, says Heikki Mannila from the Helsinki University of Technology and University of Helsinki, Finland. By comparison, �sequencing of the human genome was an easy task for IT�, he admits.
Ursula Klingm�ller, from the Systems Biology of Signal Transduction Group, DKFZ, in Heidelberg, Germany insists that the road to success will depend on standardising experimental techniques to avoid conflicting data. The HepatoSys consortium, for instance, that models liver function, agreed at the outset to use data from only one inbred mouse strain.
Advertise in this space for $10 per month.
Contact us today.
|
 |
Related Latest Research News
|
|
Subscribe to Latest Research Newsletter
|
|
|
|
Feedback
|
For any corrections of factual information, to contact the editors or to send
any medical news or health news press releases, use
feedback form
|
Top of Page
|
