@article {bioinflmu-367,
	title = {{Functional genomics, evo-devo and systems biology: a chance to overcome complexity?}},
	journal = {Curr Opin Rheumatol},
	volume = {19},
	number = {5},
	year = {2007},
	pages = {463-470},
	abstract = {PURPOSE OF REVIEW: This review addresses the key question of how to
integrate a high complexity of processes and data to a unifying picture of
disease processes and progression relevant for osteoarthritis. RECENT FINDINGS:
Many research efforts in the last few years have resulted in the accumulation of
a huge amount of data. To date, however, these data have not led to a unifying
concept of the pathogenesis and progression of the osteoarthritic disease
process. Methods to integrate a lot of information are needed, therefore, in
order to progress from experimental findings to practical knowledge. Several such
strategies have been followed up in the past: in-vitro models, large-scale gene
expression analysis/functional genomics, and an attempt to interpret gene
expression patterns on the basis of developmental chondrocyte differentiation. A
novel approach is systems biology, which promises to overcome issues of
complexity using appropriate models and quantitative simulation. SUMMARY: Efforts
are required to integrate a continuously growing high complexity of experimental
data into an understanding of the joint system and its derangement in
osteoarthritis. Modelling of the {\textquoteright}whole{\textquoteright} picture appears to be needed so that we
do not get lost in the plethora of details.},
	doi = {10.1097/BOR.0b013e3282bf6c68},
	author = {Thomas Aigner and Jochen Haag and Ralf Zimmer}
}