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1,402 results on '"Chen, Weizhong"'

5. Genome-wide analysis of the interplay between chromatin-associated RNA and 3D genome organization in human cells.

Author

Calandrelli, Riccardo, Wen, Xingzhao, Charles Richard, John, Luo, Zhifei, Nguyen, Tri, Chen, Chien-Ju, Qi, Zhijie, Xue, Shuanghong, Chen, Weizhong, Yan, Zhangming, Wu, Weixin, Zaleta-Rivera, Kathia, Hu, Rong, Yu, Miao, Wang, Yuchuan, Li, Wenbo, Ma, Jian, Ren, Bing, and Zhong, Sheng

Abstract

The interphase genome is dynamically organized in the nucleus and decorated with chromatin-associated RNA (caRNA). It remains unclear whether the genome architecture modulates the spatial distribution of caRNA and vice versa. Here, we generate a resource of genome-wide RNA-DNA and DNA-DNA contact maps in human cells. These maps reveal the chromosomal domains demarcated by locally transcribed RNA, hereafter termed RNA-defined chromosomal domains. Further, the spreading of caRNA is constrained by the boundaries of topologically associating domains (TADs), demonstrating the role of the 3D genome structure in modulating the spatial distribution of RNA. Conversely, stopping transcription or acute depletion of RNA induces thousands of chromatin loops genome-wide. Activation or suppression of the transcription of specific genes suppresses or creates chromatin loops straddling these genes. Deletion of a specific caRNA-producing genomic sequence promotes chromatin loops that straddle the interchromosomal target sequences of this caRNA. These data suggest a feedback loop where the 3D genome modulates the spatial distribution of RNA, which in turn affects the dynamic 3D genome organization.

Published
2023

27. Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data

Author

Tan, Xuyan, Wang, Yuhang, Du, Bowen, Ye, Junchen, Chen, Weizhong, Sun, Leilei, and Li, Liping

Subjects
Computer Science - Machine Learning
Abstract

Mechanical analysis for the full face of tunnel structure is crucial to maintain stability, which is a challenge in classical analytical solutions and data analysis. Along this line, this study aims to develop a spatial deduction model to obtain the full-faced mechanical behaviors through integrating mechanical properties into pure data-driven model. The spatial tunnel structure is divided into many parts and reconstructed in a form of matrix. Then, the external load applied on structure in the field was considered to study the mechanical behaviors of tunnel. Based on the limited observed monitoring data in matrix and mechanical analysis results, a double-driven model was developed to obtain the full-faced information, in which the data-driven model was the dominant one and the mechanical constraint was the secondary one. To verify the presented spatial deduction model, cross-test was conducted through assuming partial monitoring data are unknown and regarding them as testing points. The well agreement between deduction results with actual monitoring results means the proposed model is reasonable. Therefore, it was employed to deduct both the current and historical performance of tunnel full face, which is crucial to prevent structural disasters.

Published
2021

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