We report an optimized backbone for the rapid development of a highly sensitive intramolecular fluorescence resonance energy transfer (FRET) biosensor, which includes an optimized pair of fluorescent proteins and a long flexible linker ranging from 116 to 244 amino acids in length. With this backbone system, we developed FRET biosensors of PKA, ERK, JNK, EGFR, RSK, S6K, Akt, PKC, Ras, and Rac1.

To comprehend the Ras/ERK MAPK cascade, which comprises Ras, Raf, MEK, and ERK, several kinetic simulation models have been developed. However, a large number of parameters that are essential for the development of these models are still missing and need to be set arbitrarily. Here, we aimed at collecting these missing parameters using fluorescent probes. First, the levels of the signaling molecules were quantitated. Second, to monitor both the activation and nuclear translocation of ERK, we developed probes based on the principle of fluorescence resonance energy transfer. Third, the dissociation constants of Ras⅐Raf, Raf⅐MEK, and MEK⅐ERK complexes were estimated using a fluorescent tag that can be highlighted very rapidly. Finally, the same fluorescent tag was used to measure the nucleocytoplasmic shuttling rates of ERK and MEK. Using these parameters, we developed a kinetic simulation model consisting of the minimum essential members of the Ras/ERK MAPK cascade. This simple model reproduced essential features of the observed activation and nuclear translocation of ERK. In this model, the concentration of Raf significantly affected the levels of phospho-MEK and phospho-ERK upon stimulation. This prediction was confirmed experimentally by decreasing the level of Raf using the small interfering RNA technique. This observation verified the usefulness of the parameters collected in this study.The Ras/ERK 2 MAPK cascade has been highly conserved throughout evolution and plays a pivotal role in many aspects of cellular events, including proliferation, differentiation, and survival (reviewed in Refs. 1-5). The principal components of this Ras/ERK MAPK cascade include H-Ras, N-Ras, K-Ras, c-Raf, B-Raf, A-Raf, MEK1, MEK2, ERK1, and ERK2. In addition to these, a number of proteins regulate this signaling pathway either positively or negatively: A few examples include phosphatases and scaffold proteins that have been shown to play critical roles in the spatiotemporal regulation of ERK MAPK (reviewed in Refs. 6 -9). Furthermore, there are many positive and negative feedback loops that modulate the activity of each signaling component, rendering this signal transduction cascade ever more complicated.To comprehend the Ras/ERK MAPK cascade, many research groups have attempted to reconstruct this cascade in silico (10 -17). These systems analyses are used to propose mechanisms to explain the ultrasensitivity of ERK to the input signal (18), the stable response of the Ras/ERK signaling cascade to a wide range of epidermal growth factor (EGF) concentrations (15), and the different responses of PC12 pheochromocytoma cells upon stimulation by EGF or nerve growth factor (17). Each kinetic simulation model reported previously recapitulates the stimulus-induced ERK activation very nicely. Nevertheless, the parameters used therein are sometimes astonishingly different from each other. One apparent reason for this discrepancy is that many studies set parameters to fit experimental data using different algorithms (11-13). Another reason...

The extracellular signal-regulated kinase (ERK) plays a central role in the signaling cascades of cell growth. Here, we show that stochastic ERK activity pulses regulate cell proliferation rates in a cell density-dependent manner. A fluorescence resonance energy transfer (FRET) biosensor revealed that stochastic ERK activity pulses fired spontaneously or propagated from adjacent cells. Frequency, but not amplitude, of ERK activity pulses exhibited a bell-shaped response to the cell density and correlated with cell proliferation rates. Consistently, synthetic ERK activity pulses generated by a light-switchable CRaf protein accelerated cell proliferation. A mathematical model clarified that 80% and 20% of ERK activity pulses are generated by the noise and cell-to-cell propagation, respectively. Finally, RNA sequencing analysis of cells subjected to the synthetic ERK activity pulses suggested the involvement of serum responsive factor (SRF) transcription factors in the gene expression driven by the ERK activity pulses.

The biophysical framework of collective cell migration has been extensively investigated in recent years; however, it remains elusive how chemical inputs from neighboring cells are integrated to coordinate the collective movement. Here, we provide evidence that propagation waves of extracellular signal-related kinase (ERK) mitogen-activated protein kinase activation determine the direction of the collective cell migration. A wound-healing assay of Mardin-Darby canine kidney (MDCK) epithelial cells revealed two distinct types of ERK activation wave, a "tidal wave" from the wound, and a self-organized "spontaneous wave" in regions distant from the wound. In both cases, MDCK cells collectively migrated against the direction of the ERK activation wave. The inhibition of ERK activation propagation suppressed collective cell migration. An ERK activation wave spatiotemporally controlled actomyosin contraction and cell density. Furthermore, an optogenetic ERK activation wave reproduced the collective cell migration. These data provide new mechanistic insight into how cells sense the direction of collective cell migration.