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Institution

Southeast University

EducationNanjing, China
About: Southeast University is a education organization based out in Nanjing, China. It is known for research contribution in the topics: MIMO & Control theory. The organization has 66363 authors who have published 79434 publications receiving 1170576 citations. The organization is also known as: SEU.


Papers
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Journal ArticleDOI
TL;DR: It is demonstrated that PVT1 was up-regulated in gemcitabine-resistant pancreatic cancer cell lines and discovered to interact with ATG 14, thus promoting assembly of the autophagy specific complex I (PtdIns3K-C1) and ATG14-dependent class III PtdIns 3K activity.
Abstract: Pancreatic cancer is one of the most lethal malignancies and has an extremely poor diagnosis and prognosis. The development of resistance to gemcitabine is still a major challenge. The long noncoding RNA PVT1 was reported to be involved in carcinogenesis and chemoresistance; however, the mechanism by which PVT1 regulates the sensitivity of pancreatic cancer to gemcitabine remains poorly understood. The viability of pancreatic cancer cells was assessed by MTT assay in vitro and xenograft tumor formation assay in vivo. The expression levels of PVT1 and miR-619-5p were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Western blotting analysis and qRT-PCR were performed to assess the protein and mRNA levels of Pygo2 and ATG14, respectively. Autophagy was explored via autophagic flux detection under confocal microscopy and autophagic vacuole investigation under transmission electron microscopy (TEM). The functional role and mechanism of PVT1 were further investigated by gain- and loss-of-function assays in vitro. In the present study, we demonstrated that PVT1 was up-regulated in gemcitabine-resistant pancreatic cancer cell lines. Gain- and loss-of-function assays revealed that PVT1 impaired sensitivity to gemcitabine in vitro and in vivo. We further found that PVT1 up-regulated the expression of both Pygo2 and ATG14 and thus regulated Wnt/β-catenin signaling and autophagic activity to overcome gemcitabine resistance through sponging miR-619-5p. Moreover, we discovered three TCF/LEF binding elements (TBEs) in the promoter region of PVT1, and activation of Wnt/β-catenin signaling mediated by the up-regulation of Pygo2 increased PVT1 expression by direct binding to the TBE region. Furthermore, PVT1 was discovered to interact with ATG14, thus promoting assembly of the autophagy specific complex I (PtdIns3K-C1) and ATG14-dependent class III PtdIns3K activity. These data indicate that PVT1 plays a critical role in the sensitivity of pancreatic cancer to gemcitabine and highlight its potential as a valuable target for pancreatic cancer therapy.

190 citations

Journal ArticleDOI
Guangsheng Pan1, Wei Gu1, Yuping Lu1, Haifeng Qiu1, Shuai Lu1, Shuai Yao1 
TL;DR: A reasonable power to heat and hydrogen (P2HH) model with startup/shutdown constraints and a novel model of seasonal hydrogen storage (SHS) are proposed for the first time, using a combination of stochastic and robust optimization approaches to address the generation-load uncertainties.
Abstract: For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES) is proposed with the considerations of hydrogen production and storage technologies. In this EH-IES, a reasonable power to heat and hydrogen (P2HH) model with startup/shutdown constraints and a novel model of seasonal hydrogen storage (SHS) are proposed for the first time. To cope with the challenges faced by EH-IES, we use a combination of stochastic and robust optimization approaches to address the generation-load uncertainties, making the planning results robust. The N-1 contingency of crucial devices is further considered to make the system reliable. Additionally, the effects of the annual ratios of different seasons on the optimal allocation and operation of SHS are investigated. The min-max-min model with binary variables is solved by a nested column-and-constraint generation algorithm. Finally, case studies verified the advantages and effectiveness of the proposed model and planning method.

189 citations

Journal ArticleDOI
TL;DR: In this article, zero valent iron (Fe0) was used as a catalyst to activate peroxymonosulfate (PMS) for removal of chloramphenicol (CAP).

189 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the confinement effect and failure mechanisms of fiber reinforced polymer (FRP) confined concrete cylinders and derived the maximum strength, peak strain, ultimate strength and ultimate strain.

189 citations

Journal ArticleDOI
TL;DR: In this paper, the key advances and challenges in graphitic carbon nitride (g-CN) semiconductors are discussed, including hard and soft templating to change the structure and morphology of g-CN and introduce porosity.
Abstract: Graphitic carbon nitride (g-CN) is an exciting material – a semiconductor comprised only of carbon and nitrogen. It is very easy to synthesize and there are many papers on the development of this material in key energy applications such as photoelectrochemical (PEC) conversion of solar energy into chemical fuels. As a promising candidate for sustainable photocathodes, g-CN has advantages such as low cost, visible light sensitivity and high chemical stability. However, to date, the performance of g-CN has been limited, partly because standard synthesis methods produce relatively dense materials with low surface area. To combat this, there are now many examples of hard and soft templating to change the structure and morphology of g-CN and introduce porosity. This review will discuss the key advances and challenges in this interesting new field.

189 citations


Authors

Showing all 66906 results

NameH-indexPapersCitations
H. S. Chen1792401178529
Yang Yang1712644153049
Gang Chen1673372149819
Xiang Zhang1541733117576
Rui Zhang1512625107917
Yi Yang143245692268
Guanrong Chen141165292218
Wei Huang139241793522
Jun Chen136185677368
Jian Li133286387131
Xiaoou Tang13255394555
Zhen Li127171271351
Tao Zhang123277283866
Bo Wang119290584863
Jinde Cao117143057881
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023228
20221,302
20219,149
20208,667
20197,684
20186,464