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Institution

Sun Yat-sen University

EducationGuangzhou, Guangdong, China
About: Sun Yat-sen University is a education organization based out in Guangzhou, Guangdong, China. It is known for research contribution in the topics: Population & Cancer. The organization has 115149 authors who have published 113763 publications receiving 2286465 citations. The organization is also known as: Zhongshan University & SYSU.
Topics: Population, Cancer, Metastasis, Cell growth, Apoptosis


Papers
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Book ChapterDOI
08 Oct 2016
TL;DR: Wang et al. as mentioned in this paper proposed the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTMs from sequential data or multi-dimensional data to general graph-structured data.
Abstract: By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTM from sequential data or multi-dimensional data to general graph-structured data. Particularly, instead of evenly and fixedly dividing an image to pixels or patches in existing multi-dimensional LSTM structures (e.g., Row, Grid and Diagonal LSTMs), we take each arbitrary-shaped superpixel as a semantically consistent node, and adaptively construct an undirected graph for each image, where the spatial relations of the superpixels are naturally used as edges. Constructed on such an adaptive graph topology, the Graph LSTM is more naturally aligned with the visual patterns in the image (e.g., object boundaries or appearance similarities) and provides a more economical information propagation route. Furthermore, for each optimization step over Graph LSTM, we propose to use a confidence-driven scheme to update the hidden and memory states of nodes progressively till all nodes are updated. In addition, for each node, the forgets gates are adaptively learned to capture different degrees of semantic correlation with neighboring nodes. Comprehensive evaluations on four diverse semantic object parsing datasets well demonstrate the significant superiority of our Graph LSTM over other state-of-the-art solutions.

312 citations

Journal ArticleDOI
TL;DR: To detect severe acute respiratory syndrome coronavirus 2 ribonucleic acid (RNA) in urine and blood specimens, and anal and oropharyngeal swabs from patients with confirmed SARS‐CoV‐2 infection, and correlated positive results with clinical findings, testing different specimen types may be useful for monitoring disease changes and progression, and for establishing a prognosis.
Abstract: Purpose The purpose of this study was to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ribonucleic acid (RNA) in urine and blood specimens, and anal and oropharyngeal swabs from patients with confirmed SARS-CoV-2 infection, and correlated positive results with clinical findings. Methods Patients with confirmed SARS-CoV-2 infections were included in this study. Patients' demographic and clinical data were recorded. Quantitative real-time polymerase chain reaction was used to detect SARS-CoV-2 RNA in urine and blood specimens, and anal and oropharyngeal swabs. The study is registered at ClinicalTrials.gov (No. NCT04279782, 19 February, 2020). Results SARS-CoV-2 RNA was present in all four specimen types, though not all specimen types were positive simultaneously. The presence of viral RNA was not necessarily predictive of clinical symptoms, for example, the presence of viral RNA in the urine did not necessarily predict urinary tract symptoms. Conclusions SARS-CoV-2 can infect multiple systems, including the urinary tract. Testing different specimen types may be useful for monitoring disease changes and progression, and for establishing a prognosis.

311 citations

Journal ArticleDOI
TL;DR: It is shown that ferroptosis inducer RSL3 initiated cell death and ROS accumulation in HCT116, LoVo, and HT29 CRC cells over a 24 h time course, and that ROS levels and transferrin expression were elevated in CRC cells treated with R SL3 accompanied by a decrease in the expression of glutathione peroxidase 4 (GPX4), indicating an iron-dependent cell death, ferroPTosis.
Abstract: Ferroptosis is an iron-dependent, oxidative cell death, and is characterized by iron-dependent accumulation of reactive oxygen species (ROS) within the cell. It has been implicated in various human diseases, including cancer. Recently, ferroptosis, as a non-apoptotic form of cell death, is emerging in specific cancer types; however, its relevance in colorectal cancer (CRC) is unexplored and remains unclear. Here, we showed that ferroptosis inducer RSL3 initiated cell death and ROS accumulation in HCT116, LoVo, and HT29 CRC cells over a 24 h time course. Furthermore, we found that ROS levels and transferrin expression were elevated in CRC cells treated with RSL3 accompanied by a decrease in the expression of glutathione peroxidase 4 (GPX4), indicating an iron-dependent cell death, ferroptosis. Overexpression GPX4 resulted in decreased cell death after RSL3 treatment. Therefore, RSL3 was able to induce ferroptosis on three different CRC cell lines in vitro in a dose- and time-dependent manner, which was due to increased ROS and an increase in the cellular labile iron pool. Moreover, this effect was able to be reversed by overexpression of GPX4. Taken together, our results suggest that the induction of ferroptosis contributed to RSL3-induced cell death in CRC cells and ferroptosis may be a pervasive and dynamic form of cell death for cancer treatment.

311 citations

Journal ArticleDOI
TL;DR: It is found that TGF-β induces a M2-like phenotype characterized by up-regulation of the anti-inflammatory cytokine IL-10, and down- regulation of the pro- inflammatory cytokines TNF-α and IL-12, which suggests a potential therapeutic target for antitumor immunity.
Abstract: // Fan Zhang 1, 2 , Hongsheng Wang 2 , Xianfeng Wang 3 , Guanmin Jiang 4 , Hao Liu 5 , Ge Zhang 2 , Hao Wang 2 , Rui Fang 2 , Xianzhang Bu 2 , Shaohui Cai 6 , Jun Du 2 1 Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan 430060, PR China 2 Department of Microbial and Biochemical Pharmacy, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, PR China 3 Shijiazhuang City Center for Disease Control and Prevention, Shijiazhuang 050000, PR China 4 Department of Clinical Laboratory, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha 410013, PR China 5 Cancer Hospital and Cancer Research Institute, Guangzhou Medical University, Guangzhou 510095, PR China 6 Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou 510632, PR China Correspondence to: Jun Du, email: dujun@mail.sysu.edu.cn Shaohui Cai, email: caish5689@sina.com Keywords: SNAIL, TGF-β, macrophage polarization, tumor-associated macrophage, immunotherapy Received: September 24, 2015 Accepted: June 29, 2016 Published: July 13, 2016 ABSTRACT Tumor-associated macrophages (TAMs) are a major component of leukocytic infiltrate in tumors, which facilitates tumor progression and promotes inflammation. TGF-β promotes the differentiation of non-activated macrophages into a TAM-like (M2-like) phenotype; however, the underlying mechanisms are not clear. In this study, we found that TGF-β induces a M2-like phenotype characterized by up-regulation of the anti-inflammatory cytokine IL-10, and down-regulation of the pro-inflammatory cytokines TNF-α and IL-12. In human THP-1 macrophages, overexpression of SNAIL caused M2-like differentiation by inhibiting pro-inflammatory cytokine release and promoting the expression of M2-specific markers. By contrast, SNAIL knockdown promoted M1 polarization through up-regulation of pro-inflammatory cytokines and abolished TGF-β-mediated M2-polarization of THP-1 macrophages. The SMAD2/3 and PI3K/AKT signaling pathways were crucial for TGF-β-induced SNAIL overexpression in THP-1 cells. These findings suggest that TGF-β skews macrophage polarization towards a M2-like phenotype via SNAIL up-regulation, and blockade of TGF-β/SNAIL signaling restores the production of pro-inflammatory cytokines. This study provides new understanding of the role of SNAIL in M2 polarization of macrophages, and suggests a potential therapeutic target for antitumor immunity.

311 citations

Journal ArticleDOI
11 Mar 2010-Nature
TL;DR: It is demonstrated that reprogramming restores telomere elongation in DC cells despite genetic lesions affecting telomerase, and it is shown that strategies to increase TERC expression may be therapeutically beneficial in DC patients.
Abstract: Patients with dyskeratosis congenita (DC), a disorder of telomere maintenance, suffer degeneration of multiple tissues. Patient-specific induced pluripotent stem (iPS) cells represent invaluable in vitro models for human degenerative disorders like DC. A cardinal feature of iPS cells is acquisition of indefinite self-renewal capacity, which is accompanied by induction of the telomerase reverse transcriptase gene (TERT). We investigated whether defects in telomerase function would limit derivation and maintenance of iPS cells from patients with DC. Here we show that reprogrammed DC cells overcome a critical limitation in telomerase RNA component (TERC) levels to restore telomere maintenance and self-renewal. We discovered that TERC upregulation is a feature of the pluripotent state, that several telomerase components are targeted by pluripotency-associated transcription factors, and that in autosomal dominant DC, transcriptional silencing accompanies a 3' deletion at the TERC locus. Our results demonstrate that reprogramming restores telomere elongation in DC cells despite genetic lesions affecting telomerase, and show that strategies to increase TERC expression may be therapeutically beneficial in DC patients.

311 citations


Authors

Showing all 115971 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jing Wang1844046202769
Yang Gao1682047146301
Yang Yang1642704144071
Peter Carmeliet164844122918
Frank J. Gonzalez160114496971
Xiang Zhang1541733117576
Rui Zhang1512625107917
Seeram Ramakrishna147155299284
Joseph J.Y. Sung142124092035
Joseph Lau140104899305
Bin Liu138218187085
Georgios B. Giannakis137132173517
Kwok-Yung Yuen1371173100119
Shu Li136100178390
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023349
20221,547
202115,594
202013,929
201911,766