Ting Chen

Dr. Ting Chen


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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14 November 2017 in Molecular Medicine Reports
Verified
Journal Article
Open access
PDF file
ZLZhao Liu
Zhao Liu
TCTing Chen
Ting Chen
QHQianqian Han
Qianqian Han
MCMing Chen
Ming Chen
JYJie You
Jie You
BWBuling Wu
Buling Wu
The role of dental pulp cells (DPCs) in hard dental tissue regeneration had received increasing attention because DPCs can differentiate into odontoblasts and other tissue‑specific cells. In recent years, epigenetic modifications had been identified to serve an important role in cell differentiation, and histone deacetylase (HDAC) inhibitors have been widely studied by many researchers. However, the effects of HDAC4 and HDAC5 on the differentiation of DPCs and the precise molecular mechanisms remain unclear. The present study demonstrated that LMK‑235, a specific human HDAC4 and HDAC5 inhibitor, increased the expression of specific odontoblastic gene expression levels detected by reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) in dental pulp cells, and did not reduce cell proliferation tested by MTT assay after 3 days in culture at a low concentration. In addition, the mRNA and protein expression levels of dentin sialophosphoprotein, runt‑related transcription factor 2, alkaline phosphatase (ALP) and osteocalcin were evaluated by RT‑qPCR and western blotting, respectively. The increased gene and protein expression of specific markers demonstrated, indicating that LMK‑235 promoted the odontoblast induction of DPCs. ALP activity and mineralised nodule formation were also enhanced due to the effect of LMK‑235, detected by an ALP activity test and Alizarin Red S staining, respectively. Additionally, the vascular endothelial growth factor (VEGF)/RAC‑gamma serine/threonine‑protein kinase (AKT)/mechanistic target of rapamycin (mTOR) signalling pathway was tested to see if it takes part in the differentiation of DPCs treated with LMK‑235, and it was demonstrated that the mRNA expression levels of VEGF, AKT and mTOR were upregulated. These findings indicated that LMK‑235 may serve a key role in the proliferation and odontoblast differentiation of DPCs, and could be used to accelerate dental tissue regeneration.

9 January 2019 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
FLFei Liu
Fei Liu
XHXin Huang
Xin Huang
ZLZhenhua Luo
Zhenhua Luo
JHJingjun He
Jingjun He
FHFarhan Haider
Farhan Haider
BWBuling Wu
Buling Wu
In order to use stem cells as a resource for tissue regeneration, it is necessary to induce expansion in vitro. However, during culture, stem cells often lose functional properties and become senescent. Increasing evidence indicates that hypoxic preconditioning with physiological oxygen concentration can maintain the functional properties of stem cells in vitro. The purpose of the current study was to test the hypothesis that hypoxic preconditioning with physiological oxygen concentration can maintain the functional properties of stem cells in culture by reducing oxidative stress. In vitro studies were performed in primary human dental pulp cells (hDPCs). Reduced levels of oxidative stress and increased cellular “stemness” in response to physiological hypoxia were dependent upon the expression of reactive oxygen species (ROS). Subsequently, RNA-sequencing analysis revealed the increased expression of phosphoinositide 3-kinase (PI3K)/Akt signaling in culture, a pathway which regulates oxidative stress. Furthermore, we found evidence that PI3K/Akt signaling might affect intracellular ROS production by negatively regulating expression of the downstream protein Forkhead Box Protein O1 (FOXO1) and Caspase 3. Collectively, our data show that the PI3K/Akt pathway is activated in response to hypoxia and inhibits oxidative stress in a ROS-dependent manner. This study identified redox-mediated hypoxic preconditioning regulatory mechanisms that may be significant for tissue regeneration.

18 July 2023 in European Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
JHJunli Huang
Junli Huang
ZMZeli Ma
Zeli Ma
ZYZichao Yang
Zichao Yang
ZHZengzhu He
Zengzhu He
JBJingna Bao
Jingna Bao
ZZZhenhua Zeng
Zhenhua Zeng

20 January 2022 in Bioorganic Chemistry
Verified
Journal Article
Closed access
LLLing Li
Ling Li
SYSijie Yuan
Sijie Yuan
LLLin Lin
Lin Lin
FYFang Yang
Fang Yang
TLTing Liu
Ting Liu
JCJianjun Chen
Jianjun Chen

23 February 2024 in Marine Drugs
Verified
Journal Article
Open access
PDF file
ZXZimin Xiao
Zimin Xiao
JCJian Cai
Jian Cai
TCTing Chen
Ting Chen
YWYilin Wang
Yilin Wang
YCYixin Chen
Yixin Chen
Huaming TaoHuaming Tao
Huaming Tao
Two new sesquiterpenoid derivatives, elgonenes M (1) and N (2), and a new shikimic acid metabolite, methyl 5-O-acetyl-5-epi-shikimate (3), were isolated from the mangrove sediment-derived fungus Roussoella sp. SCSIO 41427 together with fourteen known compounds (4–17). The planar structures were elucidated through nuclear magnetic resonance (NMR) and mass spectroscopic (MS) analyses. The relative configurations of 1–3 were ascertained by NOESY experiments, while their absolute configurations were determined by electronic circular dichroism (ECD) calculation. Elgonene M (1) exhibited inhibition of interleukin-1β (IL-1β) mRNA, a pro-inflammatory cytokine, at a concentration of 5 μM, with an inhibitory ratio of 31.14%. On the other hand, elgonene N (2) demonstrated inhibition at a concentration of 20 μM, with inhibitory ratios of 27.57%.

9 August 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
WLWei Liu
Wei Liu
WQWei Qiu
Wei Qiu
ZHZhendong Huang
Zhendong Huang
KZKaiying Zhang
Kaiying Zhang
KWKeke Wu
Keke Wu
FFFuchun Fang
Fuchun Fang
Recently, there are many researches on signature molecules of periodontitis derived from different periodontal tissues to determine the disease occurrence and development, and deepen the understanding of this complex disease. Among them, a variety of omics techniques have been utilized to analyze periodontitis pathology and progression. However, few accurate signature molecules are known and available. Herein, we aimed to screened and identified signature molecules suitable for distinguishing periodontitis patients using machine learning models by integrated analysis of TMT proteomics and transcriptomics with the purpose of finding novel prediction or diagnosis targets. Differential protein profiles, functional enrichment analysis, and protein–protein interaction network analysis were conducted based on TMT proteomics of 15 gingival tissues from healthy and periodontitis patients. DEPs correlating with periodontitis were screened using LASSO regression. We constructed a new diagnostic model using an artificial neural network (ANN) and verified its efficacy based on periodontitis transcriptomics datasets (GSE10334 and GSE16134). Western blotting validated expression levels of hub DEPs. TMT proteomics revealed 5658 proteins and 115 DEPs, and the 115 DEPs are closely related to inflammation and immune activity. Nine hub DEPs were screened by LASSO, and the ANN model distinguished healthy from periodontitis patients. The model showed satisfactory classification ability for both training (AUC=0.972) and validation (AUC=0.881) cohorts by ROC analysis. Expression levels of the 9 hub DEPs were validated and consistent with TMT proteomics quantitation. Our work reveals that nine hub DEPs in gingival tissues are closely related to the occurrence and progression of periodontitis and are potential signature molecules involved in periodontitis.