1
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Zhu X, Kanemaki MT. Replication initiation sites and zones in the mammalian genome: Where are they located and how are they defined? DNA Repair (Amst) 2024; 141:103713. [PMID: 38959715 DOI: 10.1016/j.dnarep.2024.103713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/14/2024] [Accepted: 06/15/2024] [Indexed: 07/05/2024]
Abstract
Eukaryotic DNA replication is a tightly controlled process that occurs in two main steps, i.e., licensing and firing, which take place in the G1 and S phases of the cell cycle, respectively. In Saccharomyces cerevisiae, the budding yeast, replication origins contain consensus sequences that are recognized and bound by the licensing factor Orc1-6, which then recruits the replicative Mcm2-7 helicase. By contrast, mammalian initiation sites lack such consensus sequences, and the mammalian ORC does not exhibit sequence specificity. Studies performed over the past decades have identified replication initiation sites in the mammalian genome using sequencing-based assays, raising the question of whether replication initiation occurs at confined sites or in broad zones across the genome. Although recent reports have shown that the licensed MCMs in mammalian cells are broadly distributed, suggesting that ORC-dependent licensing may not determine the initiation sites/zones, they are predominantly located upstream of actively transcribed genes. This review compares the mechanism of replication initiation in yeast and mammalian cells, summarizes the sequencing-based technologies used for the identification of initiation sites/zones, and proposes a possible mechanism of initiation-site/zone selection in mammalian cells. Future directions and challenges in this field are also discussed.
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Affiliation(s)
- Xiaoxuan Zhu
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Yata 1111, Shizuoka, Mishima 411-8540, Japan.
| | - Masato T Kanemaki
- Department of Chromosome Science, National Institute of Genetics, Research Organization of Information and Systems (ROIS), Yata 1111, Shizuoka, Mishima 411-8540, Japan; Graduate Institute for Advanced Studies, SOKENDAI, Yata 1111, Shizuoka, Mishima 411-8540, Japan; Department of Biological Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
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2
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Schmit MM, Baxley RM, Wang L, Hinderlie P, Kaufman M, Simon E, Raju A, Miller JS, Bielinsky AK. A critical threshold of MCM10 is required to maintain genome stability during differentiation of induced pluripotent stem cells into natural killer cells. Open Biol 2024; 14:230407. [PMID: 38262603 PMCID: PMC10805602 DOI: 10.1098/rsob.230407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 11/23/2023] [Indexed: 01/25/2024] Open
Abstract
Natural killer (NK) cell deficiency (NKD) is a rare disease in which NK cell function is reduced, leaving affected individuals susceptible to repeated viral infections and cancer. Recently, a patient with NKD was identified carrying compound heterozygous variants of MCM10 (minichromosome maintenance protein 10), an essential gene required for DNA replication, that caused a significant decrease in the amount of functional MCM10. NKD in this patient presented as loss of functionally mature late-stage NK cells. To understand how MCM10 deficiency affects NK cell development, we generated MCM10 heterozygous (MCM10+/-) induced pluripotent stem cell (iPSC) lines. Analyses of these cell lines demonstrated that MCM10 was haploinsufficient, similar to results in other human cell lines. Reduced levels of MCM10 in mutant iPSCs was associated with impaired clonogenic survival and increased genomic instability, including micronuclei formation and telomere erosion. The severity of these phenotypes correlated with the extent of MCM10 depletion. Significantly, MCM10+/- iPSCs displayed defects in NK cell differentiation, exhibiting reduced yields of hematopoietic stem cells (HSCs). Although MCM10+/- HSCs were able to give rise to lymphoid progenitors, these did not generate mature NK cells. The lack of mature NK cells coincided with telomere erosion, suggesting that NKD caused by these MCM10 variants arose from the accumulation of genomic instability including degradation of chromosome ends.
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Affiliation(s)
- Megan M. Schmit
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Ryan M. Baxley
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Liangjun Wang
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Peter Hinderlie
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA
| | - Marissa Kaufman
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA
| | - Emily Simon
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Anjali Raju
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Jeffrey S. Miller
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA
| | - Anja-Katrin Bielinsky
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN, USA
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3
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Luo Y, Lan C, Xie K, Li H, Devillard E, He J, Liu L, Cai J, Tian G, Wu A, Ren Z, Chen D, Yu B, Huang Z, Zheng P, Mao X, Yu J, Luo J, Yan H, Wang Q, Wang H, Tang J. Active or Autoclaved Akkermansia muciniphila Relieves TNF-α-Induced Inflammation in Intestinal Epithelial Cells Through Distinct Pathways. Front Immunol 2022; 12:788638. [PMID: 34975882 PMCID: PMC8716699 DOI: 10.3389/fimmu.2021.788638] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 11/30/2021] [Indexed: 12/28/2022] Open
Abstract
Intestinal inflammation is a major threat to the health and growth of young animals such as piglets. As a next-generation probiotics, limited studies have shown that Akkermansia muciniphila could alleviate inflammation of intestinal epithelial cells (IECs). In this study, a TNF-α-induced inflammatory model of IPEC-J2 cells, the intestinal porcine enterocytes, was built to evaluate the effects of active or inactive A. muciniphila on the inflammation of IECs. The viability of IPEC-J2 cells was the highest when treated with active (108 copies/mL) or inactive (109 copies/mL) A. muciniphila for 7.5 h (P < 0.01). Treated with 20 ng/mL of TNF-α and followed by a treatment of A. muciniphila, the mRNA level of proinflammatory cytokines (IL-8, IL-1β, IL-6 and TNF-α) was remarkably reduced (P < 0.05) along with the increased mRNA level of tight junction proteins (ZO-1 and Occludin, P < 0.05). Flow cytometry analysis showed that active or inactive A. muciniphila significantly suppressed the rate of the early and total apoptotic of the inflammatory IPEC-J2 cells (P < 0.05). According to results of transcriptome sequencing, active and inactive A. muciniphila may decline cell apoptosis by down-regulating the expression of key genes in calcium signaling pathway, or up-regulating the expression of key genes in cell cycle signaling pathway. And the bacterium may alleviate the inflammation of IECs by down-regulating the expression of PI3K upstream receptor genes. Our results indicate that A. muciniphila may be a promising NGP targeting intestinal inflammation.
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Affiliation(s)
- Yuheng Luo
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Cong Lan
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Kunhong Xie
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Hua Li
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Estelle Devillard
- Center of Research for Nutrition and Health, Adisseo France SAS, Commentry, France
| | - Jun He
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Li Liu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Jingyi Cai
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Gang Tian
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Aimin Wu
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhihua Ren
- College of Veterinary Medicine, Sichuan Province Key Laboratory of Animal Disease and Human Health, Key Laboratory of Environmental Hazard and Human Health of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Daiwen Chen
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Bing Yu
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhiqing Huang
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Ping Zheng
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Xiangbing Mao
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Jie Yu
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Junqiu Luo
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Hui Yan
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Quyuan Wang
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Huifen Wang
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Jiayong Tang
- Key Laboratory for Animal Disease-Resistance Nutrition of Ministry of Education of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory for Animal Disease-Resistance Nutrition and Feed of Ministry of Agriculture of China, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China.,Key Laboratory of Animal Disease-Resistant Nutrition of Sichuan Province, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
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4
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Nottingham E, Mazzio E, Surapaneni SK, Kutlehria S, Mondal A, Badisa R, Safe S, Rishi AK, Singh M. Synergistic effects of methyl 2-cyano-3,11-dioxo-18beta-olean-1,-12-dien-30-oate and erlotinib on erlotinib-resistant non-small cell lung cancer cells. J Pharm Anal 2021; 11:799-807. [PMID: 35028186 PMCID: PMC8740161 DOI: 10.1016/j.jpha.2021.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/04/2021] [Accepted: 06/09/2021] [Indexed: 11/09/2022] Open
Abstract
Non-small cell lung cancer (NSCLC) is often characterized by an underlying mutation in the epidermal growth factor receptor (EGFR), contributing to aggressive metastatic disease. Methyl 2-cyano-3,11-dioxo-18beta-olean-1,12-dien-30-oate (CDODA-Me), a glycyrrhetinic acid derivative, reportedly improves the therapeutic response to erlotinib (ERL), an EGFR tyrosine kinase inhibitor. In the present study, we performed a series of studies to demonstrate the efficacy of CDODA-Me (2 μM) in sensitizing HCC827R (ERL-resistant) cells to ERL. Herein, we first established the selectivity of ERL-induced drug resistance in the HCC827R cells, which was sensitized when ERL was combined with CDODA-Me (2 μM), shifting the IC50 from 23.48 μM to 5.46 μM. Subsequently, whole transcriptomic microarray expression data demonstrated that the combination of ERL + CDODA-Me elicited 210 downregulated genes (0.44% of the whole transcriptome (WT)) and 174 upregulated genes (0.36% of the WT), of which approximately 80% were unique to the ERL + CDODA-Me group. Synergistic effects centered on losses to cell cycle progression transcripts, a reduction of minichromosome maintenance complex components (MCM2-7), all key components of the Cdc45·MCM2-7GINS (CMG) complex, and replicative helicases; these effects were tantamount to the upregulation of processes associated with the nuclear factor erythroid 2 like 2 translational response to oxidative stress, including sulfiredoxin 1, heme oxygenase 1, and stress-induced growth inhibitor 1. Collectively, these findings indicate that the synergistic therapeutic effects of ERL + CDODA-Me on resistant NSCLC cells are mediated via the inhibition of mitosis and induction of oxidative stress.
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Affiliation(s)
- Ebony Nottingham
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Elizabeth Mazzio
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Sunil Kumar Surapaneni
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Shallu Kutlehria
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Arindam Mondal
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Ramesh Badisa
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
| | - Stephen Safe
- Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine, Texas A & M University, College Station, TX, 77843, USA
| | - Arun K. Rishi
- John D. Dingell VA medical Center and Department of Oncology, Wayne State University, Detroit, MI, 48201, USA
| | - Mandip Singh
- Department of Pharmaceutics, College of Pharmacy and Pharmaceutical Sciences, Florida A & M University, Tallahassee, FL, 32307, USA
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5
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Mahdessian D, Cesnik AJ, Gnann C, Danielsson F, Stenström L, Arif M, Zhang C, Le T, Johansson F, Schutten R, Bäckström A, Axelsson U, Thul P, Cho NH, Carja O, Uhlén M, Mardinoglu A, Stadler C, Lindskog C, Ayoglu B, Leonetti MD, Pontén F, Sullivan DP, Lundberg E. Spatiotemporal dissection of the cell cycle with single-cell proteogenomics. Nature 2021; 590:649-654. [PMID: 33627808 DOI: 10.1038/s41586-021-03232-9] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 01/12/2021] [Indexed: 01/31/2023]
Abstract
The cell cycle, over which cells grow and divide, is a fundamental process of life. Its dysregulation has devastating consequences, including cancer1-3. The cell cycle is driven by precise regulation of proteins in time and space, which creates variability between individual proliferating cells. To our knowledge, no systematic investigations of such cell-to-cell proteomic variability exist. Here we present a comprehensive, spatiotemporal map of human proteomic heterogeneity by integrating proteomics at subcellular resolution with single-cell transcriptomics and precise temporal measurements of individual cells in the cell cycle. We show that around one-fifth of the human proteome displays cell-to-cell variability, identify hundreds of proteins with previously unknown associations with mitosis and the cell cycle, and provide evidence that several of these proteins have oncogenic functions. Our results show that cell cycle progression explains less than half of all cell-to-cell variability, and that most cycling proteins are regulated post-translationally, rather than by transcriptomic cycling. These proteins are disproportionately phosphorylated by kinases that regulate cell fate, whereas non-cycling proteins that vary between cells are more likely to be modified by kinases that regulate metabolism. This spatially resolved proteomic map of the cell cycle is integrated into the Human Protein Atlas and will serve as a resource for accelerating molecular studies of the human cell cycle and cell proliferation.
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Affiliation(s)
- Diana Mahdessian
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anthony J Cesnik
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Christian Gnann
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Frida Danielsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Lovisa Stenström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Trang Le
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Fredric Johansson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Rutger Schutten
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Anna Bäckström
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Ulrika Axelsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Peter Thul
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Nathan H Cho
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | - Oana Carja
- Department of Genetics, Stanford University, Stanford, CA, USA.,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.,Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden.,Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Charlotte Stadler
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Burcu Ayoglu
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | | | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Devin P Sullivan
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm, Sweden. .,Department of Genetics, Stanford University, Stanford, CA, USA. .,Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
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6
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Mace EM, Paust S, Conte MI, Baxley RM, Schmit MM, Patil SL, Guilz NC, Mukherjee M, Pezzi AE, Chmielowiec J, Tatineni S, Chinn IK, Akdemir ZC, Jhangiani SN, Muzny DM, Stray-Pedersen A, Bradley RE, Moody M, Connor PP, Heaps AG, Steward C, Banerjee PP, Gibbs RA, Borowiak M, Lupski JR, Jolles S, Bielinsky AK, Orange JS. Human NK cell deficiency as a result of biallelic mutations in MCM10. J Clin Invest 2020; 130:5272-5286. [PMID: 32865517 PMCID: PMC7524476 DOI: 10.1172/jci134966] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 06/24/2020] [Indexed: 12/16/2022] Open
Abstract
Human natural killer cell deficiency (NKD) arises from inborn errors of immunity that lead to impaired NK cell development, function, or both. Through the understanding of the biological perturbations in individuals with NKD, requirements for the generation of terminally mature functional innate effector cells can be elucidated. Here, we report a cause of NKD resulting from compound heterozygous mutations in minichromosomal maintenance complex member 10 (MCM10) that impaired NK cell maturation in a child with fatal susceptibility to CMV. MCM10 has not been previously associated with monogenic disease and plays a critical role in the activation and function of the eukaryotic DNA replisome. Through evaluation of patient primary fibroblasts, modeling patient mutations in fibroblast cell lines, and MCM10 knockdown in human NK cell lines, we have shown that loss of MCM10 function leads to impaired cell cycle progression and induction of DNA damage-response pathways. By modeling MCM10 deficiency in primary NK cell precursors, including patient-derived induced pluripotent stem cells, we further demonstrated that MCM10 is required for NK cell terminal maturation and acquisition of immunological system function. Together, these data define MCM10 as an NKD gene and provide biological insight into the requirement for the DNA replisome in human NK cell maturation and function.
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Affiliation(s)
- Emily M. Mace
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Silke Paust
- Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, California, USA
| | - Matilde I. Conte
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Ryan M. Baxley
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Megan M. Schmit
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sagar L. Patil
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Nicole C. Guilz
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Malini Mukherjee
- Center for Human Immunobiology, Texas Children’s Hospital, Houston, Texas, USA
- Department of Pediatrics
| | - Ashley E. Pezzi
- Center for Human Immunobiology, Texas Children’s Hospital, Houston, Texas, USA
- Department of Pediatrics
| | - Jolanta Chmielowiec
- Center for Cell and Gene Therapy, and
- Molecular and Cellular Biology Department, Baylor College of Medicine, Houston, Texas, USA
| | - Swetha Tatineni
- Department of Pediatrics
- Department of BioSciences, Rice University, Houston, Texas, USA
| | - Ivan K. Chinn
- Department of Pediatrics
- Department of Molecular and Human Genetics and
| | | | - Shalini N. Jhangiani
- Department of Molecular and Human Genetics and
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Donna M. Muzny
- Department of Molecular and Human Genetics and
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Asbjørg Stray-Pedersen
- Norwegian National Unit for Newborn Screening, Division of Pediatric and Adolescent Medicine, Oslo, Norway
| | - Rachel E. Bradley
- Immunodeficiency Centre for Wales, University Hospital of Wales, Cardiff, Wales
| | - Mo Moody
- Immunodeficiency Centre for Wales, University Hospital of Wales, Cardiff, Wales
| | - Philip P. Connor
- Immunodeficiency Centre for Wales, University Hospital of Wales, Cardiff, Wales
| | - Adrian G. Heaps
- Department of Virology and Immunology, North Cumbria University Hospitals, Carlisle, United Kingdom
| | - Colin Steward
- Department of Paediatric Haematology, Oncology and Bone Marrow Transplantation, Bristol Royal Hospital for Children, Bristol, United Kingdom
| | - Pinaki P. Banerjee
- Center for Human Immunobiology, Texas Children’s Hospital, Houston, Texas, USA
- Department of Pediatrics
| | - Richard A. Gibbs
- Department of Molecular and Human Genetics and
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Malgorzata Borowiak
- Center for Cell and Gene Therapy, and
- Molecular and Cellular Biology Department, Baylor College of Medicine, Houston, Texas, USA
- Adam Mickiewicz University, Poznan, Poland
- McNair Medical Institute, Baylor College of Medicine, Houston, Texas, USA
| | - James R. Lupski
- Department of Pediatrics
- Department of Molecular and Human Genetics and
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
- Texas Children’s Hospital, Houston, Texas, USA
| | - Stephen Jolles
- Immunodeficiency Centre for Wales, University Hospital of Wales, Cardiff, Wales
| | - Anja K. Bielinsky
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jordan S. Orange
- Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
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7
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Yuan Z, Li H. Molecular mechanisms of eukaryotic origin initiation, replication fork progression, and chromatin maintenance. Biochem J 2020; 477:3499-3525. [PMID: 32970141 PMCID: PMC7574821 DOI: 10.1042/bcj20200065] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 08/29/2020] [Accepted: 09/04/2020] [Indexed: 12/13/2022]
Abstract
Eukaryotic DNA replication is a highly dynamic and tightly regulated process. Replication involves several dozens of replication proteins, including the initiators ORC and Cdc6, replicative CMG helicase, DNA polymerase α-primase, leading-strand DNA polymerase ε, and lagging-strand DNA polymerase δ. These proteins work together in a spatially and temporally controlled manner to synthesize new DNA from the parental DNA templates. During DNA replication, epigenetic information imprinted on DNA and histone proteins is also copied to the daughter DNA to maintain the chromatin status. DNA methyltransferase 1 is primarily responsible for copying the parental DNA methylation pattern into the nascent DNA. Epigenetic information encoded in histones is transferred via a more complex and less well-understood process termed replication-couple nucleosome assembly. Here, we summarize the most recent structural and biochemical insights into DNA replication initiation, replication fork elongation, chromatin assembly and maintenance, and related regulatory mechanisms.
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Affiliation(s)
- Zuanning Yuan
- Structural Biology Program, Van Andel Institute, Grand Rapids, Michigan, U.S.A
| | - Huilin Li
- Structural Biology Program, Van Andel Institute, Grand Rapids, Michigan, U.S.A
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8
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Constructing Auxin-Inducible Degron Mutants Using an All-in-One Vector. Pharmaceuticals (Basel) 2020; 13:ph13050103. [PMID: 32456235 PMCID: PMC7281097 DOI: 10.3390/ph13050103] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/22/2020] [Accepted: 05/22/2020] [Indexed: 12/11/2022] Open
Abstract
Conditional degron-based methods are powerful for studying protein function because a degron-fused protein can be rapidly and efficiently depleted by adding a defined ligand. Auxin-inducible degron (AID) is a popular technology by which a degron-fused protein can be degraded by adding an auxin. However, compared with other technologies such as dTAG and HaloPROTAC, AID is complicated because of its two protein components: OsTIR1 and mAID (degron). To simplify the use of AID in mammalian cells, we constructed bicistronic all-in-one plasmids that express OsTIR1 and a mAID-fused protein using a P2A self-cleavage sequence. To generate a HeLa mutant line for the essential replication factor MCM10, we transfected a CRISPR-knockout plasmid together with a bicistronic plasmid containing mAID-fused MCM10 cDNA. After drug selection and colony isolation, we successfully isolated HeLa mutant lines, in which mAID–MCM10 was depleted by the addition of indole-3-acetic acid, a natural auxin. The bicistronic all-in-one plasmids described in this report are useful for controlling degradation of a transgene-derived protein fused with mAID. These plasmids can be used for the construction of conditional mutants by combining them with a CRISPR-based gene knockout.
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Knockdown of MCM10 Gene Impairs Glioblastoma Cell Proliferation, Migration and Invasion and the Implications for the Regulation of Tumorigenesis. J Mol Neurosci 2020; 70:759-768. [PMID: 32030558 DOI: 10.1007/s12031-020-01486-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/17/2020] [Indexed: 10/24/2022]
Abstract
Minichromosome maintenance 10 (MCM10) plays an important role in DNA replication and is expressed in a variety of tumors, including glioma. However, its role and mechanism in glioma remain elusive. The purpose of this study was to examine the molecular function of MCM10 in glioblastoma cell lines in vitro and to further investigate the molecular mechanisms in the network mediated by MCM10. Cell proliferation, invasion, and migration were investigated in the absence of MCM10 mediated by RNA interference (RNAi) in U87 and U251 cell lines. Microarray data were obtained from U87 cells infected with a lentivirus expressing a small interfering RNA (siRNA) targeting MCM10, and ingenuity pathway analysis (IPA) was performed. Molecular signaling pathways, gene functions, and upstream and downstream regulatory genes and networks were analyzed. MCM10 was positively stained in human glioblastoma multiforme (GBM) samples according to immunohistochemistry. Silencing MCM10 in U87 and U251 cells significantly reduced cell proliferation, migration, and invasion. In U87 cells transfected with MCM10, 274 genes were significantly upregulated, while 313 genes were downregulated. IPA revealed that MCM10 is involved in the IGF-1 signaling pathway, and calcitriol appears to be a significant upstream regulator of MCM10. Other factors, such as TWIST1 and Stat3, also interact within the MCM10-mediated network. Our data indicate that MCM10 is involved in the regulation of GBM in vitro and may provide more evidence for understanding the molecular mechanisms of this fatal disease.
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Chang H, Siarot L, Matsuura R, Lo CW, Sato H, Otsuki H, Aida Y. Distinct MCM10 Proteasomal Degradation Profiles by Primate Lentiviruses Vpr Proteins. Viruses 2020; 12:v12010098. [PMID: 31952107 PMCID: PMC7019430 DOI: 10.3390/v12010098] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 12/28/2019] [Accepted: 01/10/2020] [Indexed: 12/24/2022] Open
Abstract
Viral protein R (Vpr) is an accessory protein found in various primate lentiviruses, including human immunodeficiency viruses type 1 and 2 (HIV-1 and HIV-2) as well as simian immunodeficiency viruses (SIVs). Vpr modulates many processes during viral lifecycle via interaction with several of cellular targets. Previous studies showed that HIV-1 Vpr strengthened degradation of Mini-chromosome Maintenance Protein10 (MCM10) by manipulating DCAF1-Cul4-E3 ligase in proteasome-dependent pathway. However, whether Vpr from other primate lentiviruses are also associated with MCM10 degradation and the ensuing impact remain unknown. Based on phylogenetic analyses, a panel of primate lentiviruses Vpr/x covering main virus lineages was prepared. Distinct MCM10 degradation profiles were mapped and HIV-1, SIVmus and SIVrcm Vprs induced MCM10 degradation in proteasome-dependent pathway. Colocalization and interaction between MCM10 with these Vprs were also observed. Moreover, MCM10 2-7 interaction region was identified as a determinant region susceptible to degradation. However, MCM10 degradation did not alleviate DNA damage response induced by these Vpr proteins. MCM10 degradation by HIV-1 Vpr proteins was correlated with G2/M arrest, while induction of apoptosis and oligomerization formation of Vpr failed to alter MCM10 proteolysis. The current study demonstrated a distinct interplay pattern between primate lentiviruses Vpr proteins and MCM10.
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Affiliation(s)
- Hao Chang
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory of Viral Infectious Diseases, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Photonics Control Technology Team, RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Lowela Siarot
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Ryosuke Matsuura
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory of Viral Infectious Diseases, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Chieh-Wen Lo
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Photonics Control Technology Team, RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory of Global Animal Resource Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Hirotaka Sato
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Nakamura Laboratory, Baton Zone program, Riken Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Hiroyuki Otsuki
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Yoko Aida
- Viral Infectious Diseases Unit, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory of Viral Infectious Diseases, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory of Global Animal Resource Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Nakamura Laboratory, Baton Zone program, Riken Cluster for Science, Technology and Innovation Hub, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Correspondence:
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11
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Abstract
Recently published structural and functional analyses of the CMG complex have provided insight into the mechanism of its DNA helicase function and into the distinct roles of its central six component proteins MCM2-MCM7 (MCM2-7). To activate CMG helicase, the two protein kinases CDK and DDK, as well as MCM10, are required. In addition to the initiation of DNA replication, MCM function must be regulated at the DNA replication steps of elongation and termination. Polyubiquitylation of MCM7 is involved in terminating MCM function. Reinitiation of DNA replication in a single cell cycle, which is prevented mainly by CDK, is understood at the molecular level. MCM2-7 gene expression is regulated during cellular aging and the cell cycle, and the expression depends on oxygen concentration. These regulatory processes have been described recently. Genomic structural alteration, which is an essential element in cancer progression, is mainly generated by disruptions of DNA replication fork structures. A point mutation in MCM4 that disturbs MCM2-7 function results in genomic instability, leading to the generation of cancer cells. In this review, I focus on the following points: 1) function of the MCM2-7 complex, 2) activation of MCM2-7 helicase, 3) regulation of MCM2-7 function, 4) MCM2-7 expression, and 5) the role of MCM mutation in cancer progression.
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12
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Totomoch-Serra A, Muñoz MDL, Burgueño J, Revilla-Monsalve MC, Diaz-Badillo A. Association of common polymorphisms in the VEGFA and SIRT1 genes with type 2 diabetes-related traits in Mexicans. Arch Med Sci 2018; 14:1361-1373. [PMID: 30393491 PMCID: PMC6209716 DOI: 10.5114/aoms.2018.74757] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 02/22/2018] [Indexed: 01/03/2023] Open
Abstract
INTRODUCTION Genetic variants have been replicated for association with type 2 diabetes mellitus (T2D) and many of them with diabetes-related traits. Because T2D is highly prevalent in Mexico, this study aimed to test the association of CDKN2A/B, PPARGC1A, VEGFA, SIRT1 and UCP2 gene polymorphisms (rs10811661, rs8192678, rs2010963, rs7896005 and rs659366 respectively) with metabolic traits in 415 unrelated Mexican mestizos with T2D under three models of inheritance. MATERIAL AND METHODS A total of 415 unrelated Mexican mestizos were genotyped by TaqMan assays. Triglycerides, cholesterol, glucose, high-density lipoprotein cholesterol (HDL-C), insulin and anthropometric measurements were determined and the HOMA-IR was calculated. Association studies were tested by the Kruskal-Wallis test, linear regression, statistical power analysis, Bonferroni correction, paired SNP analysis, and physical interaction by GeneMANIA. RESULTS All polymorphisms were in Hardy-Weinberg equilibrium, and the association by genotype with T2D-related traits displayed nominal significance for rs8192678 with glucose (p = 0.023) and triglycerides (p = 0.013); rs2010963 with diastolic blood pressure (DBP) (p = 0.012) and cholesterol (p = 0.013); rs7896005 with DBP (p = 0.012) and insulin (p = 0.011); and rs659366 with cholesterol (p = 0.034), glucose (p = 0.031) and triglycerides (p = 0.028); and the association of rs2010963 with HDL-C (p = 0.0007) was significant. Linear regression performed with three models of inheritance, adjusted by age + sex + BMI and corrected with Bonferroni, showed a significant association of rs2010963 with HDL-C in an additive model (p = 0.007); and rs7896005 was significantly associated with DBP in the recessive model (p = 0.006). CONCLUSIONS Rigorous analysis evidenced the association of VEGFA rs2010963 and SIRT1 rs7896005 with HDL-C and DBP respectively; these traits are known predictors of cardiovascular complications, which increase the risk of cardiovascular diseases in this population.
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Affiliation(s)
| | | | - Juan Burgueño
- Centro Internacional de Mejoramiento de Maíz y Trigo, Mexico, Mexico
| | | | - Alvaro Diaz-Badillo
- South Texas Diabetes and Obesity Institute (STDOI), School of Medicine, University of Texas Rio Grande Valley, Mexico, Mexico
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Moiseeva TN, Bakkenist CJ. Regulation of the initiation of DNA replication in human cells. DNA Repair (Amst) 2018; 72:99-106. [PMID: 30266203 DOI: 10.1016/j.dnarep.2018.09.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 09/07/2018] [Indexed: 12/31/2022]
Abstract
The origin of species would not have been possible without high fidelity DNA replication and complex genomes evolved with mechanisms that control the initiation of DNA replication at multiple origins on multiple chromosomes such that the genome is duplicated once and only once. The mechanisms that control the assembly and activation of the replicative helicase and the initiation of DNA replication in yeast and Xenopus egg extract systems have been identified and reviewed [1,2]. The goal of this review is to organize currently available data on the mechanisms that control the initiation of DNA replication in human cells.
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Affiliation(s)
- Tatiana N Moiseeva
- Department of Radiation Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Christopher J Bakkenist
- Department of Radiation Oncology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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14
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Tang J, Kong D, Cui Q, Wang K, Zhang D, Gong Y, Wu G. Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network Analysis. Front Oncol 2018; 8:374. [PMID: 30254986 PMCID: PMC6141856 DOI: 10.3389/fonc.2018.00374] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 08/21/2018] [Indexed: 12/11/2022] Open
Abstract
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis are still to be investigated. The aim of this study was to identify the potential genes associated with the progression of breast cancer. Weighted gene co-expression network analysis (WGCNA) was used to construct free-scale gene co-expression networks to explore the associations between gene sets and clinical features, and to identify candidate biomarkers. The gene expression profiles of GSE1561 were selected from the Gene Expression Omnibus (GEO) database. RNA-seq data and clinical information of breast cancer from TCGA were used for validation. A total of 18 modules were identified via the average linkage hierarchical clustering. In the significant module (R2 = 0.48), 42 network hub genes were identified. Based on the Cancer Genome Atlas (TCGA) data, 5 hub genes (CCNB2, FBXO5, KIF4A, MCM10, and TPX2) were correlated with poor prognosis. Receiver operating characteristic (ROC) curve validated that the mRNA levels of these 5 genes exhibited excellent diagnostic efficiency for normal and tumor tissues. In addition, the protein levels of these 5 genes were also significantly higher in tumor tissues compared with normal tissues. Among them, CCNB2, KIF4A, and TPX2 were further upregulated in advanced tumor stage. In conclusion, 5 candidate biomarkers were identified for further basic and clinical research on breast cancer with co-expression network analysis.
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Affiliation(s)
- Jianing Tang
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Deguang Kong
- Department of General Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qiuxia Cui
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kun Wang
- Department of Thyroid and Breast Surgery, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Zhang
- Department of Thyroid and Breast Surgery, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Gong
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Gaosong Wu
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
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15
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Fei L, Xu H. Role of MCM2-7 protein phosphorylation in human cancer cells. Cell Biosci 2018; 8:43. [PMID: 30062004 PMCID: PMC6056998 DOI: 10.1186/s13578-018-0242-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 07/17/2018] [Indexed: 01/12/2023] Open
Abstract
A heterohexameric complex composed of minichromosome maintenance protein 2–7 (MCM2–7), which acts as a key replicative enzyme in eukaryotes, is crucial for initiating DNA synthesis only once per cell cycle. The MCM complex remains inactive through the G1 phase, until the S phase, when it is activated to initiate replication. During the transition from the G1 to S phase, the MCM undergoes multisite phosphorylation, an important change that promotes subsequent assembly of other replisome members. Phosphorylation is crucial for the regulation of MCM activity and function. MCMs can be phosphorylated by multiple kinases and these phosphorylation events are involved not only in DNA replication but also cell cycle progression and checkpoint response. Dysfunctional phosphorylation of MCMs appears to correlate with the occurrence and development of cancers. In this review, we summarize the currently available data regarding the regulatory mechanisms and functional consequences of MCM phosphorylation and seek the probability that protein kinase inhibitor can be used therapeutically to target MCM phosphorylation in cancer.
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Affiliation(s)
- Liangru Fei
- Department of Pathology, College of Basic Medical Sciences and the First Affiliated Hospital, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122 Liaoning Province People's Republic of China
| | - Hongtao Xu
- Department of Pathology, College of Basic Medical Sciences and the First Affiliated Hospital, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122 Liaoning Province People's Republic of China
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