Systems biology of the neurospora biological clock.
A major challenge of systems biology is explaining complex traits, such as the biological clock, in terms of the kinetics of macromolecules. The clock poses at least four challenges for systems biology: (i) identifying the genetic network to explain the clock mechanism quantitatively; (ii) specifying the clock's functional connection to a thousand or more genes and their products in the genome; (iii) explaining the clock's response to light and other environmental cues; and (iv) explaining how the clock's genetic network evolves. Here, the authors illustrate an approach to these problems by fitting an ensemble of genetic networks to microarray data derived from oligonucleotide arrays with approximately all 11 000 Neurospora crassa genes represented. A promising genetic network for the clock mechanism is identified.
Dong
W
W
Genetics Department, University of Georgia, Athens, GA 30602, USA.
Tang
X
X
Yu
Y
Y
Griffith
J
J
Nilsen
R
R
Choi
D
D
Baldwin
J
J
Hilton
L
L
Kelps
K
K
Mcguire
J
J
Morgan
R
R
Smith
M
M
Case
M
M
Arnold
J
J
Schüttler
H B
HB
Wang
Q
Q
Liu
J
J
Reeves
J
J
Logan
D
D
D001683:Biological Clocks / Q000502:physiology*; D002940:Circadian Rhythm / Q000502:physiology*; D003198:Computer Simulation; D005656:Fungal Proteins / Q000378:metabolism*; D005786:Gene Expression Regulation / Q000502:physiology; D008954:Models, Biological; D009492:Neurospora crassa / Q000502:physiology*; D020411:Oligonucleotide Array Sequence Analysis; D015398:Signal Transduction / Q000502:physiology*; D049490:Systems Biology / Q000379:methods; D014157:Transcription Factors / Q000378:metabolism
D005656:Fungal Proteins; D014157:Transcription Factors