Institution
Tongji University
Education•Shanghai, China•
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.
Topics: Population, Adsorption, Cancer, Finite element method, Lung cancer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, pinning synchronization problem for nonlinear coupled networks is investigated, which can be recurrently connected neural networks, cellular Neural networks, Hodgkin-Huxley models, Lorenz chaotic oscillators, and so on.
Abstract: In this paper, pinning synchronization problem for nonlinear coupled networks is investigated, which can be recurrently connected neural networks, cellular neural networks, Hodgkin–Huxley models, Lorenz chaotic oscillators, and so on. Nodes in the network are assumed to be identical and nodes’ dynamical behaviors are described by continuous-time equations. The network topology is undirected and static. At first, the scope of accepted nonlinear coupling functions is defined, and the effect of nonlinear coupling functions on synchronization is carefully discussed. Then, the pinning control technique is used for synchronization, especially the control type is aperiodically intermittent. Some sufficient conditions to guarantee global synchronization are presented. Furthermore, the adaptive approach is also applied on the pinning control, and a centralized adaptive algorithm is designed and its validity is also proved. Finally, several numerical simulations are given to verify the obtained theoretical results.
225 citations
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TL;DR: It is demonstrated that the m6A reader YTHDC2 — which contains an RNA helicase domain — acts on the coding region to promotes mRNA translation by resolving secondary structures, and established the physiological significance of CDS methylation and uncovered non-overlapping function of m 6A reader proteins.
Abstract: Dynamic mRNA modification in the form of N6-methyladenosine (m6A) adds considerable richness and sophistication to gene regulation. The m6A mark is asymmetrically distributed along mature mRNAs, with approximately 35% of m6A residues located within the coding region (CDS). It has been suggested that methylation in CDS slows down translation elongation. However, neither the decoding feature of endogenous mRNAs nor the physiological significance of CDS m6A has been clearly defined. Here, we found that CDS m6A leads to ribosome pausing in a codon-specific manner. Unexpectedly, removing CDS m6A from these transcripts results in a further decrease of translation. A systemic analysis of RNA structural datasets revealed that CDS m6A positively regulates translation by resolving mRNA secondary structures. We further demonstrate that the elongation-promoting effect of CDS methylation requires the RNA helicase-containing m6A reader YTHDC2. Our findings established the physiological significance of CDS methylation and uncovered non-overlapping function of m6A reader proteins.
225 citations
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TL;DR: This study provides the first evidence that miR-126 is downregulated in EPCs from diabetic patients, and impairs E PCs-mediated function via its target, Spred-1, and through Ras/ERK/VEGF and PI3K/Akt/eNOS signal pathway.
225 citations
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TL;DR: In this article, the authors investigated the production of formic acid or formate salts by hydrothermal oxidation of glucose, a model compound of carbohydrate biomass, in the presence and absence of alkali using a batch reactor with H2O2 oxidant.
225 citations
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TL;DR: In this article, a method (scMT-seq) was proposed to detect transcriptome, methylome, and single nucleotide polymorphism information within single cells to dissect the mechanisms of epigenetic gene regulation.
Abstract: Single-cell transcriptome and single-cell methylome technologies have become powerful tools to study RNA and DNA methylation profiles of single cells at a genome-wide scale. A major challenge has been to understand the direct correlation of DNA methylation and gene expression within single-cells. Due to large cell-to-cell variability and the lack of direct measurements of transcriptome and methylome of the same cell, the association is still unclear. Here, we describe a novel method (scMT-seq) that simultaneously profiles both DNA methylome and transcriptome from the same cell. In sensory neurons, we consistently identify transcriptome and methylome heterogeneity among single cells but the majority of the expression variance is not explained by proximal promoter methylation, with the exception of genes that do not contain CpG islands. By contrast, gene body methylation is positively associated with gene expression for only those genes that contain a CpG island promoter. Furthermore, using single nucleotide polymorphism patterns from our hybrid mouse model, we also find positive correlation of allelic gene body methylation with allelic expression. Our method can be used to detect transcriptome, methylome, and single nucleotide polymorphism information within single cells to dissect the mechanisms of epigenetic gene regulation.
224 citations
Authors
Showing all 76610 results
Name | H-index | Papers | Citations |
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Gang Chen | 167 | 3372 | 149819 |
Yang Yang | 164 | 2704 | 144071 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Jian Li | 133 | 2863 | 87131 |
Jianlin Shi | 127 | 859 | 54862 |
Zhenyu Zhang | 118 | 1167 | 64887 |
Ju Li | 109 | 623 | 46004 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Yan Zhang | 107 | 2410 | 57758 |
Richard B. Kaner | 106 | 557 | 66862 |
Han-Qing Yu | 105 | 718 | 39735 |
Wei Zhang | 104 | 2911 | 64923 |
Fabio Marchesoni | 104 | 607 | 74687 |
Feng Li | 104 | 995 | 60692 |