1.Study of nuclear proteomics for splenic lymphocytes of lupus mice affected by recipe of nourishing yin and clearing heat
Wei WU ; Ruiqiang FAN ; Jiekai YU ; Xian ZHANG ; Guowei XUAN ; Jianhong CHEN
China Journal of Traditional Chinese Medicine and Pharmacy 2006;0(09):-
Objective:To probe e ect of a Chinese compound recipe of nourishing yin and clearing heat and prednisone on nuclear protein of splenic lymphocytes in mice.Methods:MRL/LPR female lupus mice were divided into four groups respectively treated with isotonic Na chloride,traditional Chinese medicine,Western medicine and integrated Chinese and Western medicine,then nucleoproteins of splenic lymphocytes were extracted and detected by SELDI-TOF-MS method.Result:There were some proteins in control group which aggravated autoimmune course,and some proteins in Western medicine group which rivalried immunological activity;integrated Chinese and Western medicine and Western medicine showed similarly e ect on nucleoprotein of splenic lymphocytes.Conclusion:The recipe of nourishing yin and clearing heat and prednisone can treat the disease by uencing in the di erentiation of splenic lymphocytes and the expression of proteins.
2.Diagnostic value of serum proteome characters analyzed by proteomic fingerprint technology in patients with inflammatory bowel disease
Ming YANG ; Fenming ZHANG ; Guodong SHAN ; Hongtan CHEN ; Fengling HU ; Wenguo CHEN ; Lihua CHEN ; Jiekai YU ; Guoqiang XU
Chinese Journal of Digestion 2015;(9):615-619
Objective To explore the diagnostic model and clinical application value of serum proteomic fingerprint in inflammatory bowel disease (IBD) .Methods Serum proteome profiles of 72 IBD patients (54 Crohn′s disease (CD) and 18 ulcerative colitis (UC) and 44 healthy controls were analyzed by the weak cation exchange (WCX) beads combined matrix‐assisted laser desorption/ionization time of flight mass spectrometry (MALDI‐TOF‐MS ) technique . Among three groups , every two groups were compared .Wilcoxon rank sum test was used to screen out the peaks of difference expressed protein (P<0 .05) .Genetic algorithm combining with support vector machine (SVM ) was utilized to select the best diagnostic model .The predictive effects of this model was evaluated by leave one out method (LOO ) . Results The 10 most discriminating protein peaks were screened out between CD group and healthy control group , between UC group and healthy control group , between CD group and UC group . A diagnostic model established with four protein peaks ,the mass‐to‐charge ratio (M /Z ) of them was 3 275 .29 ,4 963 .91 ,4 980 .53 and 5 336 .90 ,could better distinguish CD and healthy controls .The specificity was 97 .7% ,and the sensitivity was 92 .6% in CD diagnosis .A diagnostic model established with four protein peaks ,the M /Z of them was 2 272 .41 ,2 660 .42 ,3 029 .77 and 5 002 .78 ,could better distinguish UC and healthy controls .The specificity was 100 .0% ,and the sensitivity was 94 .4% .A specificity was 50 .0% and sensitivity was 88 .9% in CD diagnosis with the diagnostic model of six protein peaks and the M /Z of them was 2 082 .63 ,2 210 .64 ,4 039 .02 ,4 298 .30 ,4 978 .03 ,5 002 .22 .Conclusion The diagnostic model of serum difference expressed protein in CD and UC is established by MALDI‐TOF‐MS technique and genetic algorithm combining with SVM ,which has high diagnostic value in IBD .
3.New progression of translational research on colorectal cancer.
Shu ZHENG ; Weiting GE ; Jiekai YU ; Qi DONG ; Jianwei WANG ; Lirong CHEN
Chinese Journal of Gastrointestinal Surgery 2016;19(6):601-606
Precision medicine is becoming the goal of translational research on colorectal cancer. Accurate molecular subtyping contributes to better guidance of clinical practice. The current TNM staging system of colorectal cancer is inadequate in terms of guiding clinical practice, such as the underestimation of prognosis of with stage II( and III( colorectal cancer TNM staging, and identification of high-risk and low-risk patients with stage II( colorectal cancer. Researchers from Europe and US have proposed a number of molecular subtypings with clinicopathological phenotypes and molecular phenotypes, which has certain practical significance and is beneficial to the choice of treatment regimen and targeted drugs. But the current results of subtyping research require further validations by clinical large scale multi-center trials. Based on precision medicine, molecular subtyping gradually reveals its clinical significance and is optimized through combining genomics with various clinical phenotypes, indicating its guidance for clinical practice, which is the inevitable course of precision medicine accomplishment. In recent years, there have been many new advances in colorectal cancer liver metastasis treatment. The prognosis of colorectal cancer patients undergoing resection of liver metastasis lesion is similar to those with stage III(. Early recurrence within 6 months after translational treatment and resection occurred in about one third of the patients with initially unresectable liver metastasis, and the overall survival was poor. Thus, an evaluation system should be established in order to avoid the strong therapy and strive for better quality of life in some patients. Individualized treatment for colorectal cancer is emphasized increasingly. Body fluid (peripheral blood and urine) marker detection is a recent research hotspot, including serum protein(polypeptide), plasma miRNA, circulating tumor cells and circulating nucleic acid.
Biomarkers, Tumor
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blood
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urine
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Colorectal Neoplasms
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diagnosis
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pathology
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therapy
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Humans
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Liver Neoplasms
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secondary
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Neoplasm Recurrence, Local
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Neoplasm Staging
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Precision Medicine
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Prognosis
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Quality of Life
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Translational Medical Research
4.Global Profiling of the Lysine Crotonylome in Different Pluripotent States
Lv YUAN ; Bu CHEN ; Meng JIN ; Ward CARL ; Volpe GIACOMO ; Hu JIEYI ; Jiang MENGLING ; Guo LIN ; Chen JIEKAI ; A.Esteban MIGUEL ; Bao XICHEN ; Cheng ZHONGYI
Genomics, Proteomics & Bioinformatics 2021;19(1):80-93
Pluripotent stem cells (PSCs) can be expanded in vitro in different culture conditions, resulting in a spectrum of cell states with distinct properties. Understanding how PSCs transition from one state to another, ultimately leading to lineage-specific differentiation, is important for devel-opmental biology and regenerative medicine. Although there is significant information regarding gene expression changes controlling these transitions, less is known about post-translational modifi-cations of proteins. Protein crotonylation is a newly discovered post-translational modification where lysine residues are modified with a crotonyl group. Here, we employed affinity purification of crotonylated peptides and liquid chromatography–tandem mass spectrometry (LC–MS/MS) to systematically profile protein crotonylation in mouse PSCs in different states includ-ing ground, metastable, and primed states, as well as metastable PSCs undergoing early pluripotency exit. We successfully identified 3628 high-confidence crotonylated sites in 1426 proteins. These crotonylated proteins are enriched for factors involved in functions/processes related to pluripotency such as RNA biogenesis, central carbon metabolism, and proteasome function. Moreover, we found that increasing the cellular levels of crotonyl-coenzyme A (crotonyl-CoA) through crotonic acid treatment promotes proteasome activity in metastable PSCs and delays their differentiation, consis-tent with previous observations showing that enhanced proteasome activity helps to sustain pluripo-tency. Our atlas of protein crotonylation will be valuable for further studies of pluripotency regulation and may also provide insights into the role of metabolism in other cell fate transitions.
5.Host metabolism dysregulation and cell tropism identification in human airway and alveolar organoids upon SARS-CoV-2 infection.
Rongjuan PEI ; Jianqi FENG ; Yecheng ZHANG ; Hao SUN ; Lian LI ; Xuejie YANG ; Jiangping HE ; Shuqi XIAO ; Jin XIONG ; Ying LIN ; Kun WEN ; Hongwei ZHOU ; Jiekai CHEN ; Zhili RONG ; Xinwen CHEN
Protein & Cell 2021;12(9):717-733
The coronavirus disease 2019 (COVID-19) pandemic is caused by infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is spread primary via respiratory droplets and infects the lungs. Currently widely used cell lines and animals are unable to accurately mimic human physiological conditions because of the abnormal status of cell lines (transformed or cancer cells) and species differences between animals and humans. Organoids are stem cell-derived self-organized three-dimensional culture in vitro and model the physiological conditions of natural organs. Here we showed that SARS-CoV-2 infected and extensively replicated in human embryonic stem cells (hESCs)-derived lung organoids, including airway and alveolar organoids which covered the complete infection and spread route for SARS-CoV-2 within lungs. The infected cells were ciliated, club, and alveolar type 2 (AT2) cells, which were sequentially located from the proximal to the distal airway and terminal alveoli, respectively. Additionally, RNA-seq revealed early cell response to virus infection including an unexpected downregulation of the metabolic processes, especially lipid metabolism, in addition to the well-known upregulation of immune response. Further, Remdesivir and a human neutralizing antibody potently inhibited SARS-CoV-2 replication in lung organoids. Therefore, human lung organoids can serve as a pathophysiological model to investigate the underlying mechanism of SARS-CoV-2 infection and to discover and test therapeutic drugs for COVID-19.
Adenosine Monophosphate/therapeutic use*
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Alanine/therapeutic use*
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Alveolar Epithelial Cells/virology*
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Antibodies, Neutralizing/therapeutic use*
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COVID-19/virology*
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Down-Regulation
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Drug Discovery
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Human Embryonic Stem Cells/metabolism*
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Humans
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Immunity
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Lipid Metabolism
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Lung/virology*
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RNA, Viral/metabolism*
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SARS-CoV-2/physiology*
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Virus Replication/drug effects*
6.Single-cell analysis reveals bronchoalveolar epithelial dysfunction in COVID-19 patients.
Jiangping HE ; Shuijiang CAI ; Huijian FENG ; Baomei CAI ; Lihui LIN ; Yuanbang MAI ; Yinqiang FAN ; Airu ZHU ; Huang HUANG ; Junjie SHI ; Dingxin LI ; Yuanjie WEI ; Yueping LI ; Yingying ZHAO ; Yuejun PAN ; He LIU ; Xiaoneng MO ; Xi HE ; Shangtao CAO ; FengYu HU ; Jincun ZHAO ; Jie WANG ; Nanshan ZHONG ; Xinwen CHEN ; Xilong DENG ; Jiekai CHEN
Protein & Cell 2020;11(9):680-687