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Genomics|August 4, 2019
Dynamic transcriptome profiling in DNA damage-induced cellular senescence and transient cell-cycle arrestZhen Zhao, Qiongye Dong, Xuehui Liu, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
Building digital life systems for future biology and medicineXuegong Zhang, Lei Wei, Rui Jiang, et al.
Aging|June 21, 2019
A large-scale CRISPR screen and identification of essential genes in cellular senescence bypassXuehui Liu, Lei Wei, Qiongye Dong, et al.
Neuron|January 17, 2012
Cell-type-based analysis of microRNA profiles in the mouse brainMiao He, Yu Liu, Xiaowo Wang, et al.
Genes & Development|July 18, 2012
The atypical E2F family member E2F7 couples the p53 and RB pathways during cellular senescenceOzlem Aksoy, Agustin Chicas, Tianying Zeng, et al.
Cell Reports|August 25, 2021
Characterizing microRNA-mediated modulation of gene expression noise and its effect on synthetic gene circuitsLei Wei, Shuailin Li, Pengcheng Zhang, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 26, 2015
Model-guided quantitative analysis of microRNA-mediated regulation on competing endogenous RNAs using a synthetic gene circuitYe Yuan, Bing Liu, Peng Xie, et al.
Genomics, Proteomics & Bioinformatics|February 18, 2025
Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression DataWei Zhang, Xianglin Zhang, Qiao Liu, et al.
Metabolic Engineering|May 28, 2026
Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineeringQun Zhou, Ye Wang, Jixin Dong, et al.
Nature Communications|February 3, 2025
A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitionsXi Xi, Jiaqi Li, Jinmeng Jia, et al.
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