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RISS 인기검색어
- 검색키워드
- 저자 : Meng Cen (검색결과 3 건)
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Induction of Salivary Gland-Like Tissue by Induced Pluripotent Stem Cells In Vitro
Meng Cen,Huang Shengyuan,Cheng Taiqi,Zhang Xue,Yan Xing 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.2
Background: To investigate the in vitro induction of salivary gland-like tissue by ips cells in an interferon regulatory factor 6 (IRF6) overexpression and parotid conditioned medium environment. Methods: Urine-derived ips cells were isolated, identified, transfected with IRF6 and cultured in parotid conditioned medium to induce ips cells into salivary gland differentiation, morphological changes of ips cells were observed, CCK-8 was used to determine the cell proliferation efficiency and transcriptome sequencing was used to detect the expression of genes related to parotid gland formation. Results: Immunofluorescence staining showed that the isolated ips cells were positive for NANOG, SSEA4 and OCT4 and had embryonic-like stem cell characteristics; CCK-8 showed that there was no statistical difference in the proliferation efficiency between the IRF6+ induced group and the simple induced group after induction of ips cells into salivary glands. The results of transcriptome sequencing showed that there were a total of 643 differentially expressed genes, including 365 up-regulated genes and 278 down-regulated genes in the IRF6+ induced group compared to the blank control group, and the salivary gland related genes HAPLN1, CCL2, MSX2, ANXA1, CYP11A1, HES1 and LUM were all highly expressed in the IRF6+ induced group. Conclusion: IRF6 promotes salivary gland differentiation in urine-derived iPSCs, and its mechanism of promoting differentiation may be that IRF6 upregulates the expression of HAPLN1, CCL2, MSX2, ANXA1, CYP11A1, HES1 and LUM to promote epithelial differentiation.
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Hongyu Cen,Zhishun Zhu,Meng Chen,Xingpeng Guo,Zhenyu Chen 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.12
Dodecylamine, quinoline, allylthiourea, and thiourea, whose dipole moments were calculated by quantum chemistry and ingradient rise, were used to study the influence of magnetic field on inhibition effect through weight loss experiments, electrochemicalmeasurements, and surface characterizations. Results confirmed that the inhibition efficiency can be improvedto varying extents with the application of the magnetic field. In addition, maximum impedance increased three times morethan that in controlled trial when the magnetic field increased to 12 mT. Furthermore, the inhibition efficiency of inhibitorswith larger dipole moment will be affected more obviously, which was also positively related to the magnetic field strength. The mechanism of variation in polarizability of molecules was proposed to explain the effect of the magnetic field.
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Li Ke,Sun Lanfang,Wang Yanan,Cen Yixin,Zhao Jingting,Liao Qianling,Wu Wencan,Sun Jie,Zhou Meng 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-
Uveal melanoma (UM) is the most frequent primary intraocular malignancy with high metastatic potential and poor prognosis. Macrophages represent one of the most abundant infiltrating immune cells with diverse functions in cancers. However, the cellular heterogeneity and functional diversity of macrophages in UM remain largely unexplored. In this study, we analyzed 63,264 single-cell transcriptomes from 11 UM patients and identified four transcriptionally distinct macrophage subsets (termed MΦ-C1 to MΦ-C4). Among them, we found that MΦ-C4 exhibited relatively low expression of both M1 and M2 signature genes, loss of inflammatory pathways and antigen presentation, instead demonstrating enhanced signaling for proliferation, mitochondrial functions and metabolism. We quantified the infiltration abundance of MΦ-C4 from single-cell and bulk transcriptomes across five cohorts and found that increased MΦ-C4 infiltration was relevant to aggressive behaviors and may serve as an independent prognostic indicator for poor outcomes. We propose a novel subtyping scheme based on macrophages by integrating the transcriptional signatures of MΦ-C4 and machine learning to stratify patients into MΦ-C4-enriched or MΦ-C4-depleted subtypes. These two subtypes showed significantly different clinical outcomes and were validated through bulk RNA sequencing and immunofluorescence assays in both public multicenter cohorts and our in-house cohort. Following further translational investigation, our findings highlight a potential therapeutic strategy of targeting macrophage subsets to control metastatic disease and consistently improve the outcome of patients with UM.
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