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136 results on '"Gao, Shijuan"'

1. Frameshift variants in C10orf71 cause dilated cardiomyopathy in human, mouse, and organoid models

Author

Li, Yang, Ma, Ke, Dong, Zhujun, Gao, Shijuan, Zhang, Jing, Huang, Shan, Yang, Jie, Fang, Guangming, Li, Yujie, Li, Xiaowei, Welch, Carrie, Griffin, Emily L., Ramaswamy, Prema, Valivullah, Zaheer, Liu, Xiuying, Dong, Jianzeng, Wang, Dao Wen, Du, Jie, Chung, Wendy K., and Li, Yulin

Subjects
Heart diseases -- Models -- Causes of -- Genetic aspects, Organs, Culture of -- Research, Cardiovascular research, Genetic variation -- Research, Mice -- Research, Cardiomyopathy -- Models -- Causes of -- Genetic aspects, Health care industry
Abstract

Research advances over the past 30 years have confirmed a critical role for genetics in the etiology of dilated cardiomyopathies (DCMs). However, full knowledge of the genetic architecture of DCM remains incomplete. We identified candidate DCM causal gene, C10orf71, in a large family with 8 patients with DCM by whole-exome sequencing. Four loss-of-function variants of C10orf71 were subsequently identified in an additional group of492 patients with sporadic DCM from 2 independent cohorts. C10orf71 was found to be an intrinsically disordered protein specifically expressed in cardiomyocytes. C10orf71-KO mice had abnormal heart morphogenesis during embryonic development and cardiac dysfunction as adults with altered expression and splicing of contractile cardiac genes. C10orf71-null cardiomyocytes exhibited impaired contractile function with unaffected sarcomere structure. Cardiomyocytes and heart organoids derived from human induced pluripotent stem cells with C10orf71 frameshift variants also had contractile defects with normal electrophysiological activity. A rescue study using a cardiac myosin activator, omecamtiv mecarbil, restored contractile function in C10orf71-KO mice. These data support C10orf71 as a causal gene for DCM by contributing to the contractile function of cardiomyocytes. Mutation-specific pathophysiology may suggest therapeutic targets and more individualized therapy., Introduction Cardiomyopathies are a heterogeneous group of cardiac disorders with primary abnormalities in the structure and function of the heart (1). These disorders are commonly divided into primary--including hypertrophic, dilated, [...]

Published
2024
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11. Graph Information Vanishing Phenomenon in Implicit Graph Neural Networks.

Author

He, Silu, Cao, Jun, Yuan, Hongyuan, Chen, Zhe, Gao, Shijuan, and Li, Haifeng

Subjects
GRAPH neural networks, REPRESENTATIONS of graphs, RANDOM graphs, GRAPH labelings, CURVATURE
Abstract

Graph neural networks (GNNs) have been highly successful in graph representation learning. The goal of GNNs is to enrich node representations by aggregating information from neighboring nodes. Much work has attempted to improve the quality of aggregation by introducing a variety of graph information with representational capabilities. The class of GNNs that improves the quality of aggregation by encoding graph information with representational capabilities into the weights of neighboring nodes through different learnable transformation structures (LTSs) are referred to as implicit GNNs. However, we argue that LTSs only transform graph information into the weights of neighboring nodes in the direction that minimizes the loss function during the learning process and does not actually utilize the effective properties of graph information, a phenomenon that we refer to as graph information vanishing (GIV). To validate this point, we perform thousands of experiments on seven node classification benchmark datasets. We first replace the graph information utilized by five implicit GNNs with random values and surprisingly observe that the variation range of accuracies is less than ± 0.3%. Then, we quantitatively characterize the similarity of the weights generated from graph information and random values by cosine similarity, and the cosine similarities are greater than 0.99. The empirical experiments show that graph information is equivalent to initializing the input of LTSs. We believe that graph information as an additional supervised signal to constrain the training of GNNs can effectively solve GIV. Here, we propose GinfoNN, which utilizes both labels and discrete graph curvature as supervised signals to jointly constrain the training of the model. The experimental results show that the classification accuracies of GinfoNN improve by two percentage points over baselines on large and dense datasets. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Research on Punctual and Energy-Efficient Train Driving Strategy Based on Two-Stage Allocation of Redundant Running Time

Author

Liu, Gaofeng, Li, Wei, Li, Kang, Yao, Meiqi, Zhao, Sizhe, Gao, Shijuan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Li, Kang, editor, Coombs, Tim, editor, He, Jinghan, editor, Tian, Yuchu, editor, Niu, Qun, editor, and Yang, Zhile, editor

Published
2021
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16. A Gradient-Constrained Morphological Operation for Retrieving Subcanopy Topography Over Densely Forested Areas From ICESat-2/ATL03 Data

Author

Li, Yi, Gao, Shijuan, Zhu, Jianjun, Fu, Haiqiang, Wang, Changcheng, Zhao, Rong, and Zhou, Yao

Abstract

The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has been widely used to obtain high-precision subcanopy topography. However, due to the vegetation cover over densely forested areas, the ground photons are sparse, which makes it difficult to accurately estimate the subcanopy topography over densely forested areas. In this article, we proposed a novel method for retrieving subcanopy topography over densely forested areas from ICESat-2/ATL03 data. First, the proposed method used an improved elevation frequency histogram statistics (imEFHS) method to obtain candidate ground seed photons (GSPs). In densely forested areas, the obtained candidate GSPs are easily misclassified as canopy photons. Therefore, we performed a gradient-constrained morphological operation (GCMOO) to identify erroneous GSPs. Finally, an erroneous GSPs refinement approach was derived to correct erroneous GSPs over densely forested areas. In addition, the subcanopy topography can be presented by the refined GSPs with cubic spline interpolation. ICESat-2/ATL03 data acquired over densely forested areas was selected for testing the proposed method. The results in the given test sites show that the proposed method can extract subcanopy topography accurately, with a root-mean-square error of 1.71 m over densely forested areas. We also compared the retrieved subcanopy topography results with National Aeronautics and Space Administration (NASA) ATL08 terrain samples. We found that the ratio of useful subcanopy topography results (residual <2.5 m) in the forest-intensive area was 87%. However, the ratio of useful ATL08 terrain samples was only 9%, which is lower than that of retrieved subcanopy topography results. In addition, in densely forested areas, the correlation ( $R^{2}$ ) between the retrieved subcanopy topography results and the reference high-precision digital terrain model (DTMs) reached 0.93, which is much higher than that of the ATL08 terrain samples ( $R^{2} =0.63$ ).

Published
2024
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17. Palmdelphin Deficiency Evokes NF-κB Signaling in Valvular Endothelial Cells and Aggravates Aortic Valvular Remodeling

Author

Han, Yingchun, primary, Zhang, Jichao, additional, Yang, Zhao, additional, Jian, Wen, additional, Gao, Shijuan, additional, Liu, Yan, additional, Li, Yingkai, additional, He, Songyuan, additional, Zhu, Yuexin, additional, Zhang, Congcong, additional, Li, Yang, additional, Li, Yulin, additional, You, Bin, additional, Liu, Jinghua, additional, and Du, Jie, additional

Published
2023
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19. A Rapid and Easy Way for National Forest Heights Retrieval in China Using ICESat-2/ATL08 in 2019.

Author

Gao, Shijuan, Zhu, Jianjun, and Fu, Haiqiang

Subjects
FOREST reserves, FOREST monitoring, OPTICAL radar, LIDAR, FOREST biomass, FOREST canopies
Abstract

Continuous and extensive monitoring of forest height is essential for estimating forest above-ground biomass and predicting the ability of forests to absorb CO2. In particular, forest height at the national scale is an important indicator reflecting the national forestry economic construction, environmental governance, and ecological balance. However, the lack of inventory data restricts large-scale monitoring of forest height to some extent. Conducting manual surveys of forest height for large-scale areas would be labor-intensive and time-consuming. The successful launch of the new generation of spaceborne light detection and ranging (LiDAR) (The Ice, Cloud, and Land Elevation Satellite-2/the Advanced Topographic Laser Altimeter System, ICESat-2/ATLAS) has brought new opportunities for national-scale forestry resource surveys. This paper explores a method to survey national forest canopy height from the new generation of ICESat-2/ATLAS data. In view of the sparse sampling and little overlap between repeated spaceborne LiDAR data, a strategy for assessing the overall change of canopy height for large scales is provided. Some spatially continuous ancillary data were used to assist ICESat-2/ATLAS data to generate a wall-to-wall (spatially continuous) forest canopy height map in China by using the machine learning approach and then quantifying the analysis of forest canopy height in various provinces. The results show that there is a good correlation between the model forest height and the verification data, with a root mean squared error (RMSE) of 3.30 m and a coefficient of determination (R2) of 0.87. This indicates that the method for retrieving national forest canopy height is reliable. There are some limitations in areas with lower vegetation coverage or complex topography which need additional filtering or terrain correction to achieve higher accuracy in measuring forest canopy height. Our analysis suggests that ICESat-2/ATLAS data can achieve the retrieval of national forest height at an overall level, and it would be feasible to use ICESAT-2/ATLAS products to estimate forest canopy height change for large-scale areas. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Exome sequencing reveals the genetic landscape and frequent inactivation of PCDHB3 in Chinese rectal cancers

Author

Ye, Wen, primary, Ling, Shaoping, additional, Liu, Ran-Yi, additional, Pan, Zhi-Zhong, additional, Wang, Gaoyuan, additional, Gao, Shijuan, additional, Wu, Jiangxue, additional, Cao, Lihua, additional, Dong, Lili, additional, Li, Yingchang, additional, Zhou, Yi, additional, Du, Wuying, additional, Meng, Xiangqi, additional, Chen, Jinna, additional, Guan, Xinyuan, additional, He, Yulong, additional, Pan, Changchuan, additional, Zheng, XF Steven, additional, Lu, Xuemei, additional, Chen, Shuai, additional, and Huang, Wenlin, additional

Published
2018
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37. Interaction of NS2 with AIMP2 Facilitates the Switch from Ubiquitination to SUMOylation of M1 in Influenza A Virus-Infected Cells

Author

Gao, Shijuan, primary, Wu, Jiaoxiang, additional, Liu, Ran-Yi, additional, Li, Jiandong, additional, Song, Liping, additional, Teng, Yan, additional, Sheng, Chunjie, additional, Liu, Dong, additional, Yao, Chen, additional, Chen, Huiming, additional, Jiang, Wei, additional, Chen, Shuai, additional, and Huang, Wenlin, additional

Published
2015
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38. Antioxidative Dietary Compounds Modulate Gene Expression Associated with Apoptosis, DNA Repair, Inhibition of Cell Proliferation and Migration

Author

Wang, Likui, Gao, Shijuan, Jiang, Wei, Luo, Cheng, Xu, Maonian, Bohlin, Lars, Rosendahl, Markus, Huang, Wenlin, Wang, Likui, Gao, Shijuan, Jiang, Wei, Luo, Cheng, Xu, Maonian, Bohlin, Lars, Rosendahl, Markus, and Huang, Wenlin

Abstract

Many dietary compounds are known to have health benefits owing to their antioxidative and anti-inflammatory properties. To determine the molecular mechanism of these food-derived compounds, we analyzed their effect on various genes related to cell apoptosis, DNA damage and repair, oxidation and inflammation using in vitro cell culture assays. This review further tests the hypothesis proposed previously that downstream products of COX-2 (cyclooxygenase-2) called electrophilic oxo-derivatives induce antioxidant responsive elements (ARE), which leads to cell proliferation under antioxidative conditions. Our findings support this hypothesis and show that cell proliferation was inhibited when COX-2 was down-regulated by polyphenols and polysaccharides. Flattened macrophage morphology was also observed following the induction of cytokine production by polysaccharides extracted from viili, a traditional Nordic fermented dairy product. Coix lacryma-jobi (coix) polysaccharides were found to reduce mitochondrial membrane potential and induce caspase-3- and 9-mediated apoptosis. In contrast, polyphenols from blueberries were involved in the ultraviolet-activated p53/Gadd45/MDM2 DNA repair system by restoring the cell membrane potential. Inhibition of hypoxia-inducible factor-1 by saponin extracts of ginsenoside (Ginsen) and Gynostemma and inhibition of S100A4 by coix polysaccharides inhibited cancer cell migration and invasion. These observations suggest that antioxidants and changes in cell membrane potential are the major driving forces that transfer signals through the cell membrane into the cytosol and nucleus, triggering gene expression, changes in cell proliferation and the induction of apoptosis or DNA repair.

Published
2014
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