During the past decade, our knowledge of molecular mechanisms involved in g
rowth factor signaling has proliferated almost explosively. However, the ki
netics and control of information transfer through signaling networks remai
n poorly understood. This paper combines experimental kinetic analysis and
computational modeling of the short term pattern of cellular responses to e
pidermal growth factor (EGF) in isolated hepatocytes. The experimental data
show transient tyrosine phosphorylation of the EGF receptor (EGFR) and tra
nsient or sustained response patterns in multiple signaling proteins target
ed by EGFR. Transient responses exhibit pronounced maxima, reached within 1
5-30 s of EGF stimulation and followed by a decline to relatively low (quas
i-steady-state) levels. In contrast to earlier suggestions, we demonstrate
that the experimentally observed transients can be accounted for without re
quiring receptor-mediated activation of specific tyrosine phosphatases, fol
lowing EGF stimulation. The kinetic model predicts how the cellular respons
e is controlled by the relative levels and activity states of signaling pro
teins and under what conditions activation patterns are transient or sustai
ned. EGFR. signaling patterns appear to be robust with respect to variation
s in many elemental rate constants within the range of experimentally measu
red values. On the other hand, we specify which changes in the kinetic sche
me, rate constants, and total amounts of molecular factors involved are inc
ompatible with the experimentally observed kinetics of signal transfer. Qua
ntitation of signaling network responses to growth factors allows us to ass
ess how cells process information controlling their growth and differentiat
ion.