Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling
2019 · Molecular Systems Biology
저자
Yannick Blum, Jan Mikelson, Maciej Dobrzyński, Hyunryul Ryu, Marc‐Antoine Jacques, 전누리 (Noo Li Jeon), Mustafa Khammash, Olivier C. Pertz
연구주제
Gene Regulatory Network Analysis
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.
AI 연구 키워드·방법
cell fate decision ERK 신호전달 fibroblast growth factor signaling
bayesian parameter estimation
키워드 (OpenAlex)
FGF2 signaling fibroblast growth factor receptor PC12 cells Bayesian parameter estimation receptor tyrosine kinase signaling
초록
Stimulation of PC-12 cells with epidermal (EGF) versus nerve (NGF) growth factors (GFs) biases the distribution between transient and sustained single-cell ERK activity states, and between proliferation and differentiation fates within a cell population. We report that fibroblast GF (FGF2) evokes a distinct behavior that consists of a gradually changing population distribution of transient/sustained ERK signaling states in response to increasing inputs in a dose response. Temporally controlled GF perturbations of MAPK signaling dynamics applied using microfluidics reveal that this wider mix of ERK states emerges through the combination of an intracellular feedback, and competition of FGF2 binding to FGF receptors (FGFRs) and heparan sulfate proteoglycan (HSPG) co-receptors. We show that the latter experimental modality is instructive for model selection using a Bayesian parameter inferen…
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교수 1
연구주제 1
Gene Regulatory Network Analysis