Yang Chen

Prof. Dr. Yang Chen

Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, Liaoning, China
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 January 2017 in Nature
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YCYu-Lu Cao
Yu-Lu Cao
SMShuxia Meng
Shuxia Meng
Yang ChenYang Chen
Yang Chen
JFJian-Xiong Feng
Jian-Xiong Feng
DGDong-Dong Gu
Dong-Dong Gu
SGSong Gao
Song Gao

21 March 2018 in Nature Communications
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Journal Article
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JYJin-Yu Yang
Jin-Yu Yang
XDXiang-Yu Deng
Xiang-Yu Deng
YLYi-Sheng Li
Yi-Sheng Li
XMXiancai Ma
Xiancai Ma
JFJian-Xiong Feng
Jian-Xiong Feng
SGSong Gao
Song Gao
Cleavage of transfer (t)RNA and ribosomal (r)RNA are critical and conserved steps of translational control for cells to overcome varied environmental stresses. However, enzymes that are responsible for this event have not been fully identified in high eukaryotes. Here, we report a mammalian tRNA/rRNA-targeting endoribonuclease: SLFN13, a member of the Schlafen family. Structural study reveals a unique pseudo-dimeric U-pillow-shaped architecture of the SLFN13 N′-domain that may clamp base-paired RNAs. SLFN13 is able to digest tRNAs and rRNAs in vitro, and the endonucleolytic cleavage dissevers 11 nucleotides from the 3′-terminus of tRNA at the acceptor stem. The cytoplasmically localised SLFN13 inhibits protein synthesis in 293T cells. Moreover, SLFN13 restricts HIV replication in a nucleolytic activity-dependent manner. According to these observations, we term SLFN13 RNase S13. Our study provides insights into the modulation of translational machinery in high eukaryotes, and sheds light on the functional mechanisms of the Schlafen family.

26 April 2022 in Comprehensive Reviews in Food Science and Food Safety
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GCGang Chen
Gang Chen
IKImran Mahmood Khan
Imran Mahmood Khan
WHWensen He
Wensen He
YLYongxin Li
Yongxin Li
PJPeng Jin
Peng Jin
Ming MiaoMing Miao
Ming Miao

13 October 2021 in Cell Death & Disease
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QCQixin Chen
Qixin Chen
MHMingang Hao
Mingang Hao
LWLei Wang
Lei Wang
LLLinsen Li
Linsen Li
Yang ChenYang Chen
Yang Chen
Jiajie DiaoJiajie Diao
Jiajie Diao
Lysosome–autophagosome fusion is critical to autophagosome maturation. Although several proteins that regulate this fusion process have been identified, the prefusion architecture and its regulation remain unclear. Herein, we show that upon stimulation, multiple lysosomes form clusters around individual autophagosomes, setting the stage for membrane fusion. The soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE) protein on lysosomes—vesicle-associated membrane protein 8 (VAMP8)—plays an important role in forming this prefusion state of lysosomal clusters. To study the potential role of phosphorylation on spontaneous fusion, we investigated the effect of phosphorylation of C-terminal residues of VAMP8. Using a phosphorylation mimic, we observed a decrease of fusion in an ensemble lipid mixing assay and an increase of unfused lysosomes associated with autophagosomes. These results suggest that phosphorylation not only reduces spontaneous fusion for minimizing autophagic flux under normal conditions, but also preassembles multiple lysosomes to increase the fusion probability for resuming autophagy upon stimulation. VAMP8 phosphorylation may thus play an important role in chemotherapy drug resistance by influencing autophagosome maturation.

23 April 2021 in Nature Communications
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JYJun Yin
Jun Yin
ESEmma Spillman
Emma Spillman
ECEthan S. Cheng
Ethan S. Cheng
JSJacob Short
Jacob Short
Yang ChenYang Chen
Yang Chen
QYQuan Yuan
Quan Yuan
Lipid shuttling between neurons and glia contributes to the development, function, and stress responses of the nervous system. To understand how a neuron acquires its lipid supply from specific lipoproteins and their receptors, we perform combined genetic, transcriptome, and biochemical analyses in the developing Drosophila larval brain. Here we report, the astrocyte-derived secreted lipocalin Glial Lazarillo (GLaz), a homolog of human Apolipoprotein D (APOD), and its neuronal receptor, the brain-specific short isoforms of Drosophila lipophorin receptor 1 (LpR1-short), cooperatively mediate neuron-glia lipid shuttling and support dendrite morphogenesis. The isoform specificity of LpR1 defines its distribution, binding partners, and ability to support proper dendrite growth and synaptic connectivity. By demonstrating physical and functional interactions between GLaz/APOD and LpR1, we elucidate molecular pathways mediating lipid trafficking in the fly brain, and provide in vivo evidence indicating isoform-specific expression of lipoprotein receptors as a key mechanism for regulating cell-type specific lipid recruitment.

11 March 2019 in Nano Research
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QCQixin Chen
Qixin Chen
XSXintian Shao
Xintian Shao
ZTZhiqi Tian
Zhiqi Tian
Yang ChenYang Chen
Yang Chen
Payel MondalPayel Mondal
Payel Mondal
Jiajie DiaoJiajie Diao
Jiajie Diao
Technology advances in genomics, proteomics, and metabolomics largely expanded the pool of potential therapeutic targets. Compared with the in vitro setting, cell-based screening assays have been playing a key role in the processes of drug discovery and development. Besides the commonly used strategies based on colorimetric and cell viability, we reason that methods that capture the dynamic cellular events will facilitate optimal hit identification with high sensitivity and specificity. Herein, we propose a live-cell screening strategy using structured illumination microscopy (SIM) combined with an automated cell colocalization analysis software, Cellprofiler™, to screen and discover drugs for mitochondria and lysosomes interaction at a nanoscale resolution in living cells. This strategy quantitatively benchmarks the mitochondria-lysosome interactions such as mitochondria and lysosomes contact (MLC) and mitophagy. The automatic quantitative analysis also resolves fine changes of the mitochondria-lysosome interaction in response to genetic and pharmacological interventions. Super-resolution live-cell imaging on the basis of quantitative analysis opens up new avenues for drug screening and development by targeting dynamic organelle interactions at the nanoscale resolution, which could facilitate optimal hit identification and potentially shorten the cycle of drug discovery.