Jie Lin Principal Investigator/Assistant Professor Center for Quantitative Biology Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies Peking University E-mail:linjie@pku.edu.cn Website: http://cqb.pku.edu.cn/jlingroup |
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Education:
2007-2011 B.S. in Physics, Fudan University
2011-2016, Ph.D. in Physics, New York University
Academic Experience:
2016-2020 Postdoc, Harvard University
Research interests:
Keywords: theoretical biological physics, soft matter physics, gene expression, cell physiology, and cell size regulation
My main research field is theoretical biological physics, and I aim to understand complex biological systems using the language of physics. I am mostly interested in phenomena that are widely observed across various species. Current research interests include mathematical modeling of gene expression, soft living matter, and microbial physiology.
My research goal is to find unifying models that can quantitatively reproduce experimental observations and, in the meantime, make nontrivial predictions that can be experimentally tested. To achieve this goal, the most challenging step is often to find an appropriate mathematical model that captures the essential ingredients of the system under study and neglects those irrelevant details. In condensed matter physics, the essential variables are usually easy to identify as systems are mostly homogeneous. However, biological systems are generally much more complex and heterogeneous (think about a eukaryotic cell that consists of various organelles and biomolecules), therefore identifying the essential variables may not be straightforward and often requires some physical intuitions. For physicists, this is probably the most exciting part of biological physics.
Selected Publications:
16. Heterogeneous elasticity drives ripening and controls bursting kinetics of transcriptional condensates
Lingyu Meng, Sheng Mao, Jie Lin
Proceedings of the National Academy of Sciences (PNAS), 121 (12), e2316610121, 2024
15. Fingering instability accelerates population growth of a proliferating cell collective
Yiyang Ye, Jie Lin
Physical Review Letters, 132, 018402, 2024
14. Diffusion enhancement in bacterial cytoplasm through an active random force
Lingyu Meng, Yiteng Jin, Yichao Guan, Jiayi Xu, Jie Lin
Physical Review Research, 5, L032018, 2023
13. Implications of differential size-scaling of cell-cycle regulators on cell size homeostasis
Xiangrui Ji, Jie Lin
PLOS Computational Biology, 19, 1-24, 2023
12. Cell Size: Putting scaling laws on a physical foundation
Yiyang Ye, Jie Lin
eLife, 12, e89415, 2023
11. Indissoluble biomolecular condensates via elasticity
Lingyu Meng, Jie Lin
Physical Review Research, 5, L012024, 2023
10. Environment-specificity and universality of the microbial growth law
Qirun Wang, Jie Lin
Communications Biology, 5, 891, 2022
9. Modeling the aging of protein condensates
Jie Lin
Physical Review Research, 4, L022012, 2022
8. Coupling between DNA replication, segregation, and the onset of constriction in Escherichia coli
Sriram Tiruvadi-Krishnan, Jaana Männik, Prathitha Kar, Jie Lin, Ariel Amir, Jaan Männik
Cell Reports, 38, 110539, 2022
7. Heterogeneous recruitment abilities to RNA polymerases generate nonlinear scaling of gene expression with cell volume
Qirun Wang, Jie Lin
Nature Communications, 12, 6852, 2021
6. Disentangling intrinsic and extrinsic gene expression noise in growing cells
Jie Lin, Ariel Amir
Physical Review Letters, 126, 078101, 2021
5. Evolution of microbial growth traits under serial dilution
Jie Lin, Michal Manhart, Ariel Amir
Genetics, 215, 767-777, 2020
4. Optimal segregation of proteins: phase transitions and symmetry breaking
Jie Lin, Jiseon Min, Ariel Amir
Physical Review Letters, 122, 068101, 2019
3. Homeostasis of protein and mRNA concentrations in growing cells
Jie Lin, Ariel Amir
Nature Communications, 9, 4496, 2018
2. Modeling cell size regulation: From single-cell level statistics to molecular mechanisms and population-level effects
Po-Yi Ho, Jie Lin, Ariel Amir,
Annual Review of Biophysics, 47, 2018
1. The effects of stochasticity at the single-cell level and cell size control on the population growth
Jie Lin, Ariel Amir
Cell Systems, 5(4):358-367, 2017