
Jianhong Wang
Articles
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Jan 14, 2025 |
biorxiv.org | Jianhong Wang |Yifan Kong |Xuezhuang Li |Kun Xiang
AbstractDNA replication fork speed, which controls the rate of genome duplication, has emerged as a key regulator of cellular plasticity. However, its role in neurogenesis remains unexplored. Mini-chromosome maintenance complex (MCMs)-binding protein (MCMBP) functions as a chaperone for newly synthesized MCMs, increasing chromatin coverage to restrain fork speed.
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Jan 12, 2025 |
biorxiv.org | Jianhong Wang |Yifan Kong |Xuezhuang Li |Kun Xiang
AbstractDNA replication fork speed, which controls the rate of genome duplication, has emerged as a key regulator of cellular plasticity. However, its role in neurogenesis remains unexplored. MCMBP functions as a chaperone for newly synthesized Mini-chromosome maintenance complexes (MCMs), increasing chromatin coverage to regulate fork progression.
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Nov 5, 2024 |
biorxiv.org | Jianhong Wang |Yifan Kong |Yulian Tan |Xuezhuang Li
AbstractDNA fork speed, the rate of replication fork progression, has emerged as a cellular plasticity regulator, however, for its role in neurogenesis has never been explored before. Here, we show that fork speed was increased as neural progenitors-radial glial cells (RGCs) transition from symmetric to asymmetric divisions.
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Dec 17, 2023 |
arxiv.org | Jianhong Wang
[Submitted on 17 Dec 2023 (v1), last revised 23 Dec 2023 (this version, v2)] Title:E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning Download a PDF of the paper titled E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning, by Wangkun Xu and Jianhong Wang and Fei Teng Download PDF HTML (experimental) Abstract:Successful machine learning involves a complete pipeline of data, model, and downstream applications.
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Aug 13, 2023 |
arxiv.org | Zhiguo Zhang |Min Zhang |Jianhong Wang |Dong Ni
[Submitted on 13 Aug 2023 ( v1 ), last revised 2 Aug 2024 (this version, v2)] Title:Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition View a PDF of the paper titled Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition, by Weishan Ye and 8 other authors View PDF HTML (experimental) Abstract:Electroencephalography (EEG) is an objective tool...
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