1.Promising roles of non-exosomal and exosomal non-coding RNAs in the regulatory mechanism and as diagnostic biomarkers in myocardial infarction.
Jingru LI ; Haocheng MA ; Xinyu WU ; Guihu SUN ; Ping YANG ; Yunzhu PENG ; Qixian WANG ; Luqiao WANG
Journal of Zhejiang University. Science. B 2023;24(4):281-300
Non-exosomal non-coding RNAs (non-exo-ncRNAs) and exosomal ncRNAs (exo-ncRNAs) have been associated with the pathological development of myocardial infarction (MI). Accordingly, this analytical review provides an overview of current MI studies on the role of plasma non-exo/exo-ncRNAs. We summarize the features and crucial roles of ncRNAs and reveal their novel biological correlations via bioinformatics analysis. The following contributions are made: (1) we comprehensively describe the expression profile, competing endogenous RNA (ceRNA) network, and "pre-necrotic" biomarkers of non-exo/exo-ncRNAs for MI; (2) functional enrichment analysis indicates that the target genes of ncRNAs are enriched in the regulation of apoptotic signaling pathway and cellular response to chemical stress, etc.; (3) we propose an updated and comprehensive view on the mechanisms, pathophysiology, and biomarker roles of non-exo/exo-ncRNAs in MI, thereby providing a theoretical basis for the clinical management of MI.
Humans
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RNA, Untranslated/genetics*
;
RNA
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Myocardial Infarction/genetics*
;
Biomarkers
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Computational Biology
;
MicroRNAs/genetics*
2.Establishment and application of big data sharing innovation system of national clinical medical research center
Tingyin CHEN ; Song FENG ; Guanping HAN ; Jun YAN ; Guihu ZHAO ; Zhuozhong WANG ; Hua GUO
Chinese Journal of Hospital Administration 2022;38(5):337-342
In order to effectively integrate scientific research data resources and improve data utilization, the National Clinical Medical Research Center had built a "3321" -integration big data sharing innovation platform. By providing full support to scientific research, sorting out the distribution mechanism of achievements, and formulating authority management norms, the big data platform had solved the weaknesses in data sharing ability, sharing willingness, and sharing security, giving full play to the effectiveness of the clinical research big data platform. By February 2022, the center had collected more than 1.04 million elderly patients data through the big data platform, as well as carried out 75 scientific research projects, and established 10 large population-based clinical research queues. The big data platform had realized full coverage of major diseases in the field of geriatric diseases, promoted the high-quality construction of the national clinical medical research center, and improved the scientific research and innovation ability of the cooperative units.
3.Generation of a novel HBeAg transgenic mice using CRISPR/Cas9 technique.
Rui GUO ; Yi TIAN ; Xueyuan JIN ; Haiyan CHEN ; Guihu WANG ; Xiaozhong HUANG ; Burong LI ; Zongfang LI ; Jun YANG
Journal of Southern Medical University 2019;39(9):1017-1022
OBJECTIVE:
To generate a new strain of HBeAg transgenic mice using CRISPR/Cas9 technique.
METHODS:
Hepatitis B virus (HBV) HBeAg gene was cloned and inserted in the pliver-HBeAg expression frame at the site of Rosa26 gene using CRISPR/Cas9 and homologous recombination techniques to construct the pliver-HBeAg expression vector containing HBeAg gene. The linear DNA fragment containing HBeAg gene was obtained by enzyme digestion. Cas9 mRNA, gRNA and the donor vector were microinjected into fertilized eggs of C57BL/6J mice, which were then transplanted into the uterus of C57BL/6J female surrogate mice to obtain F0 generation mice. The F0 generation mice were identified by long fragment PCR to obtain F0 transgenic mice with HBeAg gene. The positive F0 generation mice were bred with wild-type C57BL/6J mice to produce the F1 mice, which were identified by PCR and sequencing. The positive F1 transgenic mice carrying HBeAg gene were backcrossed until the homozygous offspring transgenic mice were obtained. The genotypes of the offspring mice were identified. The expressions of HBeAg and HBeAb in the heterozygous and homozygous HBeAg transgenic mice were detected by automatic chemiluminescence immunoassay, immune colloidal gold technique and immunohistochemistry method.
RESULTS:
A total of 56 F0 mice were obtained, and 2 of them carried homologous recombined HBeAg gene. Six positive F1 mice were obtained, from which 22 homozygous and 29 heterozygous F2 generation HBeAg transgenic mice were obtained. High concentration of HBeAg protein was detected in the peripheral blood of all the positive HBeAg transgenic mice without HBeAb expression. HBeAg expression was detected in the hepatocytes of HBeAg transgenic mice.
CONCLUSIONS
We obtained a new strain of HBeAg transgenic mice with stable expression of HBeAg in the hepatocytes and immune tolerance to HBeAg using CRISPR/Cas9 technique, which provide a new animal model for studying HBV.
Animals
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CRISPR-Cas Systems
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Female
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Genetic Vectors
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Hepatitis B e Antigens
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genetics
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Hepatitis B virus
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Mice
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Mice, Inbred C57BL
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Mice, Transgenic

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