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Cancer cells as a new source of induced pluripotent stem cells. Stem Cell Res Ther 2022; 13:459. [PMID: 36064437 PMCID: PMC9446809 DOI: 10.1186/s13287-022-03145-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 08/17/2022] [Indexed: 11/10/2022] Open
Abstract
Over the last 2 decades, induced pluripotent stem cells (iPSCs) have had various potential applications in various medical research areas, from personalized medicine to disease treatment. Different cellular resources are accessible for iPSC generation, such as keratinocytes, skin fibroblasts, and blood or urine cells. However, all these sources are somatic cells, and we must make several changes in a somatic cell's transcriptome and chromatin state to become a pluripotent cell. It has recently been revealed that cancer cells can be a new source of iPSCs production. Cancer cells show similarities with iPSCs in self-renewal capacity, reprogramming potency, and signaling pathways. Although genetic abnormalities and potential tumor formation in cancer cells pose a severe risk, reprogrammed cancer-induced pluripotent stem cells (cancer-iPSCs) indicate that pluripotency can transiently overcome the cancer phenotype. This review discusses whether cancer cells can be a preferable source to generate iPSCs.
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Wang Q, Wang Z, Xu M, Tu W, Hsin IF, Stotland A, Kim JH, Liu P, Naiki M, Gottlieb RA, Seki E. Neurotropin Inhibits Lipid Accumulation by Maintaining Mitochondrial Function in Hepatocytes via AMPK Activation. Front Physiol 2020; 11:950. [PMID: 32848877 PMCID: PMC7424056 DOI: 10.3389/fphys.2020.00950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 07/14/2020] [Indexed: 11/27/2022] Open
Abstract
The accumulation of lipid droplets in the cytoplasm of hepatocytes, known as hepatic steatosis, is a hallmark of non-alcoholic fatty liver disease (NAFLD). Inhibiting hepatic steatosis is suggested to be a therapeutic strategy for NAFLD. The present study investigated the actions of Neurotropin (NTP), a drug used for chronic pain in Japan and China, on lipid accumulation in hepatocytes as a possible treatment for NAFLD. NTP inhibited lipid accumulation induced by palmitate and linoleate, the two major hepatotoxic free fatty acids found in NAFLD livers. An RNA sequencing analysis revealed that NTP altered the expression of mitochondrial genes. NTP ameliorated palmitate-and linoleate-induced mitochondrial dysfunction by reversing mitochondrial membrane potential, respiration, and β-oxidation, suppressing mitochondrial oxidative stress, and enhancing mitochondrial turnover. Moreover, NTP increased the phosphorylation of AMPK, a critical factor in the regulation of mitochondrial function, and induced PGC-1β expression. Inhibition of AMPK activity and PGC-1β expression diminished the anti-steatotic effect of NTP in hepatocytes. JNK inhibition could also be associated with NTP-mediated inhibition of lipid accumulation, but we did not find the association between AMPK and JNK. These results suggest that NTP inhibits lipid accumulation by maintaining mitochondrial function in hepatocytes via AMPK activation, or by inhibiting JNK.
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Affiliation(s)
- Qinglan Wang
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- E-Institute of Shanghai Municipal Education Committee, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhijun Wang
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Mingyi Xu
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Wei Tu
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - I-Fang Hsin
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Aleksandr Stotland
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Jeong Han Kim
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Ping Liu
- E-Institute of Shanghai Municipal Education Committee, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Mitsuru Naiki
- Department of Pharmacological Research, Institute of Bio-Active Science, Nippon Zoki Pharmaceutical Co., Ltd., Osaka, Japan
| | - Roberta A. Gottlieb
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Ekihiro Seki
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
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Tarazona S, Furió-Tarí P, Turrà D, Pietro AD, Nueda MJ, Ferrer A, Conesa A. Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic Acids Res 2015; 43:e140. [PMID: 26184878 PMCID: PMC4666377 DOI: 10.1093/nar/gkv711] [Citation(s) in RCA: 349] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 07/01/2015] [Indexed: 12/14/2022] Open
Abstract
As the use of RNA-seq has popularized, there is an increasing consciousness of the importance of experimental design, bias removal, accurate quantification and control of false positives for proper data analysis. We introduce the NOISeq R-package for quality control and analysis of count data. We show how the available diagnostic tools can be used to monitor quality issues, make pre-processing decisions and improve analysis. We demonstrate that the non-parametric NOISeqBIO efficiently controls false discoveries in experiments with biological replication and outperforms state-of-the-art methods. NOISeq is a comprehensive resource that meets current needs for robust data-aware analysis of RNA-seq differential expression.
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Affiliation(s)
- Sonia Tarazona
- Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012, Valencia, Spain Department of Applied Statistics, Operations Research and Quality, Universidad Politécnica de Valencia, Camí de Vera, 46022, Valencia, Spain
| | - Pedro Furió-Tarí
- Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012, Valencia, Spain
| | - David Turrà
- Department of Genetics, Universidad de Córdoba, Campus de Rabanales Edificio Gregor Mendel, 14071, Córdoba, Spain
| | - Antonio Di Pietro
- Department of Genetics, Universidad de Córdoba, Campus de Rabanales Edificio Gregor Mendel, 14071, Córdoba, Spain
| | - María José Nueda
- Statistics and Operational Research Department, Universidad de Alicante, Carretera San Vicente del Raspeig s/n, 03690, Alicante, Spain
| | - Alberto Ferrer
- Department of Applied Statistics, Operations Research and Quality, Universidad Politécnica de Valencia, Camí de Vera, 46022, Valencia, Spain
| | - Ana Conesa
- Genomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Eduardo Primo Yúfera 3, 46012, Valencia, Spain Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL 32603, USA
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Guo H, Liu C, Yang L, Dong L, Wang L, Wang Q, Li H, Zhang J, Lin P, Wang X. Morusin inhibits glioblastoma stem cell growth in vitro and in vivo through stemness attenuation, adipocyte transdifferentiation, and apoptosis induction. Mol Carcinog 2014; 55:77-89. [PMID: 25557841 DOI: 10.1002/mc.22260] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2014] [Revised: 10/27/2014] [Accepted: 11/03/2014] [Indexed: 02/05/2023]
Affiliation(s)
- Huijie Guo
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
- Department of Immunology; School of Basic Medical Sciences, Chengdu Medical College; Chengdu China
| | - Chuanlan Liu
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Liuqi Yang
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Lihua Dong
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Li Wang
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Qiaoping Wang
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Haiyan Li
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Jie Zhang
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Ping Lin
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
| | - Xiujie Wang
- Laboratory of Experimental Oncology; State Key Laboratory of Biotherapy; West China Hospital; West China Clinical Medical School; Sichuan University; Chengdu China
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