Institution
Sun Yat-sen University
Education•Guangzhou, 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 published on a yearly basis
Papers
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TL;DR: This work identifies an NF-KappaB Interacting LncRNA (NKILA), which is upregulated by NF-κB, binds to NF-σκB/IκBs, and directly masks phosphorylation motifs of IKKB, thereby inhibiting IKK-induced IκBosphorylation and NF-kkB activation.
723 citations
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TL;DR: A novel database, starBase (sRNA target Base), is introduced, which is developed to facilitate the comprehensive exploration of miRNA–target interaction maps from CLIP-Seq and Degradome-Sequ data.
Abstract: MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regulatory target genes remains technically challenging. Recently, high-throughput CLIP-Seq and degradome sequencing (Degradome-Seq) methods have been applied to identify the sites of Argonaute interaction and miRNA cleavage sites, respectively. In this study, we introduce a novel database, starBase (sRNA target Base), which we have developed to facilitate the comprehensive exploration of miRNA–target interaction maps from CLIP-Seq and Degradome-Seq data. The current version includes high-throughput sequencing data generated from 21 CLIP-Seq and 10 DegradomeSeq experiments from six organisms. By analyzing millions of mapped CLIP-Seq and Degradome-Seq reads, we identified � 1 million Ago-binding clusters and � 2 million cleaved target clusters in animals and plants, respectively. Analyses of these clusters, and of target sites predicted by 6 miRNA target prediction programs, resulted in our identification of approximately 400 000 and approximately 66 000 miRNA-target regulatory relationships from CLIP-Seq and Degradome-Seq data, respectively. Furthermore, two web servers were provided to discover novel miRNA target sites from CLIP-Seq and Degradome-Seq data. Our web implementation supports diverse query types and exploration of common targets, gene ontologies and pathways. The starBase is available at http://starbase.sysu .edu.cn/.
722 citations
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TL;DR: This study is the first to demonstrate the contributions of different reactive species to the micropollutant degradation in the UV/chlorine system under environmentally relevant conditions.
Abstract: The UV/free chlorine process forms reactive species such as hydroxyl radicals (HO•), chlorine atoms (Cl•), Cl2•–, and O•–. The specific roles of these reactive species in aqueous micropollutant degradation in the UV/chlorine process under different conditions were investigated using a steady-state kinetic model. Benzoic acid (BA) was chosen as the model micropollutant. The steady-state kinetic model developed fitted the experimental data well. The results showed that HO• and Cl• contributed substantially to BA degradation, while the roles of the other reactive species such as Cl2•– and O•– were negligible. The overall degradation rate of BA decreased as the pH increased from 6 to 9. In particular, the relative contributions of HO• and Cl• to the degradation changed from 34.7% and 65.3% respectively at pH 6 to 37.9% and 62% respectively at pH 9 under the conditions evaluated. Their relative contributions also changed slightly with variations in chlorine dosage, BA concentration and chloride concentration. ...
721 citations
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TL;DR: A panorama of the latest advancements in the rational design and development of semiconductor polymeric graphitic carbon nitride (g-C3N4) photocatalysts for visible-light-induced hydrogen evolution reaction (HER) is presented in this paper.
Abstract: Semiconductor polymeric graphitic carbon nitride (g-C3N4) photocatalysts have attracted dramatically growing attention in the field of the visible-light-induced hydrogen evolution reaction (HER) because of their facile synthesis, easy functionalization, attractive electronic band structure, high physicochemical stability and photocatalytic activity. This review article presents a panorama of the latest advancements in the rational design and development of g-C3N4 and g-C3N4-based composite photocatalysts for HER application. Concretely, the review starts with the development history, synthetic strategy, electronic structure and physicochemical characteristics of g-C3N4 materials, followed by the rational design and engineering of various nanostructured g-C3N4 (e.g. thinner, highly crystalline, doped, and porous g-C3N4) photocatalysts for HER application. Then a series of highly efficient g-C3N4 (e.g., metal/g-C3N4, semiconductor/g-C3N4, metal organic framework/g-C3N4, carbon/g-C3N4, conducting polymer/g-C3N4, sensitizer/g-C3N4) composite photocatalysts are exemplified. Lastly, this review provides a comprehensive summary and outlook on the major challenges, opportunities, and inspiring perspectives for future research in this hot area on the basis of pioneering works. It is believed that the emerging g-C3N4-based photocatalysts will act as the “holy grail” for highly efficient photocatalytic HER under visible-light irradiation.
717 citations
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TL;DR: High-mobility group box 1 (HMGB1), the most abundant and well-studied HMG protein, senses and coordinates the cellular stress response and plays a critical role not only inside of the cell as a DNA chaperone, chromosome guardian, autophagy sustainer, and protector from apoptotic cell death, but also outside thecell as the prototypic damage associated molecular pattern molecule (DAMP).
717 citations
Authors
Showing all 115971 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Jing Wang | 184 | 4046 | 202769 |
Yang Gao | 168 | 2047 | 146301 |
Yang Yang | 164 | 2704 | 144071 |
Peter Carmeliet | 164 | 844 | 122918 |
Frank J. Gonzalez | 160 | 1144 | 96971 |
Xiang Zhang | 154 | 1733 | 117576 |
Rui Zhang | 151 | 2625 | 107917 |
Seeram Ramakrishna | 147 | 1552 | 99284 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |
Joseph Lau | 140 | 1048 | 99305 |
Bin Liu | 138 | 2181 | 87085 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Kwok-Yung Yuen | 137 | 1173 | 100119 |
Shu Li | 136 | 1001 | 78390 |