Scientific data published by SystemsX.ch projects is collected on this page.
SyBIT's task is to facilitate data publication and to make the data available inside SystemsX.ch as well as to the scientific community at large.
In the past two decades almost no new antibiotics have emerged. However, the alarming increase in bacterial resistance to most currently available antibiotics has led to an urgent medical need for new therapeutic approaches. The «BattleX» team is following a promising route.
The developmental process that forms a living organism from a fertilized egg cell is still a miracle. While the DNA blueprint is the same in every cell, the program that determines its fate resides in layers of controls on top of the DNA sequence. These determine the expression of genes within the DNA blueprint, and yield hundreds of cell types with unique expression profiles from a single fertilized egg.
The Center for Cellular Imaging and NanoAnalytics (C-CINA) is being established to pursue the goal of SystemsX.ch to acquire quantitative information on cells and organisms and to expand our understanding of biological systems.
Cyclic regulatory circuits are fundamental building blocks in every organism. CycliX seeks to understand three of these circuits and how they interact: the circadian rhythm, cell division and nutrient-response cycles.
Systems Biology arose as a logical consequence of the information gained from genomics and proteomics. With a fairly comprehensive catalogue of the building blocks of life at hand, the next pertinent question was how these building blocks interact on a global scale.
The goal of InfectX is to comprehensively identify the components of the human infectome for a set of important bacterial and viral pathogens and to develop new mathematical and computational methods with predictive power to reconstruct key signaling pathways controlling pathogen entry into human cells.
Lipids, with DNA and sugars, are the major building blocks of living cells. Eucaryotic cells, and in particular mammalian cells, contain thousands of different lipid species and devote some 5% of their entire genome to the synthesis of these molecules.
According to the World Health Organization, 220 million people worldwide suffer from Type II diabetes. Type II diabetes results from the body’s ineffective use of insulin, mostly as a consequence of obesity. The etiology of insulin resistance is still poorly understood.
This RTD project focuses on structural models for metabolic networks, especially their automatic generation and use to annotate genomes and for simulation, in order to arrive at a better understanding of plant metabolism.
Who has never been in the difficult situation of trying to take the best decision, weighing up the positive and negative aspects of each option and sometimes obliged to take some risks? Decision-making is a highly relevant activity and is currently a prominent research subject worldwide. Decisions of individuals and groups of individuals about their actions can be traced back to neuronal activity on multiple levels, ranging from molecules, cells and cellular networks to entire areas of the brain.
At any time, in any cell, multiple types of molecular networks are concurrently active. These networks are neither static nor are they independent. Thousands of proteins are simultaneously busy in our cells; some occur in great numbers, others in trifling quantities – which does not necessarily mean that they are less important. Perturbations of the cell induce coordinated changes in multiple networks and one of the predominant open questions in systems biology is how, exactly this coordination is achieved. In other words: how do cells process information.
This project deals with the question of how a system of chemical and mechanical processes regulates plant growth. Innovative experiments and their computer simulation play an important part in this process.
This project investigates the processes that occur during wing development in the fruit fly Drosophila melanogaster. The findings should help scientists to gain a better understanding of how organs develop and enable them to make computer simulations of organogensis.
YeastX examines the regulatory processes that take place in yeast cells in order to develop a fundamental modeling concept to clarify molecular biology phenomena.