|
 The study of gene networks and their dynamics has become the corner stone of molecular systems biology. Numerous studies have demonstrated that interactomics is one of the most powerful means to map gene networks. However, interactomics in plants is lagging behind compared to other model organisms. Hence, a major part of our current research is to develop such tools for plant research. At the same time, we apply them to gather knowledge on cell proliferation control in plants, and as such discover new approaches for the engineering of plant growth. Cell proliferation plays a key role in plant growth and development. The basic machinery controling progression through the cell cycle has been studied and unraveled during passed two decades. However, its dynamics and the signaling pathways that impinge on it remain elusive. It is our long term goal to map the gene networks involved in cell proliferation by system wide interactomic approaches, as described below. |
|
 Protein-protein interactions as they appear in functional protein complexes have been studied in high throughput fashion in yeast via the in vivo expression of ‘tagged’ proteins and the subsequent retrieval of proteins bound to this ‘bait’. Especially the tandem affinity purification (TAP) method elegantly demonstrates the strength of such protein complex studies. We have developed a unique TAP technology platform for complex isolation from plant cells.
|
|
Read more...
|
|
 Important regulators of gene networks are transcription factors because they determine which genes in the network are activated or inhibited at a certain time or condition. The function of a transcription factor (TF) in a given network is determined by its dynamic interaction with other proteins like transcriptional cofactors and the target genes that it controls. Hence, to map transcriptional regulatory networks and get insight in their regulation, we develop genome wide technologies to identify the transcription factors involved, their protein interactions and target cis-regulatory motives (CRMs) or genes.
|
|
Read more...
|
|
|
|
|
|
|
|
|