Prediction of regime shifts under spatial indicators in gene transcription regulation systems
             Chen Yang1, Chunhua Zeng1;2∗ and Bo Zheng2;3
1 Faculty of Science, Kunming University of Science and Technology, Kunming 650500, Peoples Republic of China
2 Department of Physics, Zhejiang University, Hangzhou 310027, Peoples Republic of China
3 School of Physics and Astronomy, Yunnan University, Kunming 650091, Peoples Republic of China
∗ zchh2009@126.com or chzeng83@kust.edu.cn
PACS 05.40.Ca – Noise
                Abstract – Gene transcription regulation is a noisy process that can lead to regime shifts and
these shifts are difficult to predict. In this Letter, we consider spatiotemporal fluctuations in gene
transcription regulation, and employ a spatially extended gene transcription regulation system by
using theoretical analysis and numerical simulation. We find that the system produces a regime
shift from a low (high) to a high (low) protein concentration state (i.e., the transform of the switch
of gene transcription regulation), and we apply spatial early warning signals (e.g., rising spatial
variance, spatial skewness, spatial kurtosis, and lag-1 autocorrelation) to study the regime shifts
of protein concentration. The results show that the spatial early warning signals can be used as
a robust indicator of predicting gene transcription regulation switch. Once the signal is detected,
we will take measures to intervene. Our results may have a positive effect on improving early
treatment interventions for complex human diseases.

You can now cite your article as:

Yang et al 2021 EPL https://doi.org/10.1209/0295-5075/ac156b,

available online at https://doi.org/10.1209/0295-5075/ac156b.