Institution
Shenyang Pharmaceutical University
Education•Shenyang, Liaoning, China•
About: Shenyang Pharmaceutical University is a education organization based out in Shenyang, Liaoning, China. It is known for research contribution in the topics: Drug delivery & Apoptosis. The organization has 13155 authors who have published 10300 publications receiving 177196 citations. The organization is also known as: Shěnyáng Yào Kē Dàxué.
Topics: Drug delivery, Apoptosis, High-performance liquid chromatography, Liquid chromatography–mass spectrometry, Selected reaction monitoring
Papers published on a yearly basis
Papers
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TL;DR: This study systematically analyzed all the proteins encoded by SARS-CoV-2 genes, compared them with proteins from other coronaviruses, predicted their structures, and built 19 structures that could be done by homology modeling and constructed a database of 78 commonly used anti-viral drugs.
1,680 citations
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Daniel J. Klionsky1, Amal Kamal Abdel-Aziz2, Sara Abdelfatah3, Mahmoud Abdellatif4 +2980 more•Institutions (777)
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
1,129 citations
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TL;DR: A comprehensive review presents recent advances in mesoporous silica nanoparticles assisted drug delivery systems, including both immediate and sustained delivery systems as well as controlled release and targeted drug Delivery systems.
873 citations
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TL;DR: Chitosan structure modification or additive incorporation is an effective way to improve the stability of the polyplex in biological fluids, enhance targeted cell delivery and facilitate endo-lysosomal release of the complex.
866 citations
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TL;DR: Five types of carriers based on phospholipids are introduced, including liposomes, intravenous lipid emulsions, micelles, drug-phospholipid complexes and cochleates, to introduce their applications in drug delivery systems.
688 citations
Authors
Showing all 13214 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gang Chen | 167 | 3372 | 149819 |
Xin Wang | 121 | 1503 | 64930 |
Qiang Yang | 112 | 1117 | 71540 |
Wei Zhang | 104 | 2911 | 64923 |
Thomas Kissel | 93 | 316 | 30198 |
Bin Li | 92 | 1755 | 42835 |
Qian Liu | 90 | 610 | 33341 |
Pedro J. J. Alvarez | 89 | 378 | 34837 |
Hao Wang | 89 | 1599 | 43904 |
Ting Wang | 82 | 1217 | 43318 |
Hualiang Jiang | 79 | 927 | 31944 |
Masayuki Yoshikawa | 76 | 608 | 21537 |
Fang Liu | 73 | 1643 | 31008 |
Qiang Zhang | 72 | 458 | 17033 |
Guowang Xu | 71 | 502 | 18067 |