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Carlini F, Maroccia Z, Fiorentini C, Travaglione S, Fabbri A. Effects of the Escherichia coli Bacterial Toxin Cytotoxic Necrotizing Factor 1 on Different Human and Animal Cells: A Systematic Review. Int J Mol Sci 2021; 22:ijms222212610. [PMID: 34830494 PMCID: PMC8621085 DOI: 10.3390/ijms222212610] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/19/2021] [Accepted: 11/20/2021] [Indexed: 12/13/2022] Open
Abstract
Cytotoxic necrotizing factor 1 (CNF1) is a bacterial virulence factor, the target of which is represented by Rho GTPases, small proteins involved in a huge number of crucial cellular processes. CNF1, due to its ability to modulate the activity of Rho GTPases, represents a widely used tool to unravel the role played by these regulatory proteins in different biological processes. In this review, we summarized the data available in the scientific literature concerning the observed in vitro effects induced by CNF1. An article search was performed on electronic bibliographic resources. Screenings were performed of titles, abstracts, and full-texts according to PRISMA guidelines, whereas eligibility criteria were defined for in vitro studies. We identified a total of 299 records by electronic article search and included 76 original peer-reviewed scientific articles reporting morphological or biochemical modifications induced in vitro by soluble CNF1, either recombinant or from pathogenic Escherichia coli extracts highly purified with chromatographic methods. Most of the described CNF1-induced effects on cultured cells are ascribable to the modulating activity of the toxin on Rho GTPases and the consequent effects on actin cytoskeleton organization. All in all, the present review could be a prospectus about the CNF1-induced effects on cultured cells reported so far.
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Affiliation(s)
- Francesca Carlini
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.C.); (Z.M.); (S.T.)
| | - Zaira Maroccia
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.C.); (Z.M.); (S.T.)
| | - Carla Fiorentini
- Associazione Ricerca Terapie Oncologiche Integrate, ARTOI, 00165 Rome, Italy;
| | - Sara Travaglione
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.C.); (Z.M.); (S.T.)
| | - Alessia Fabbri
- Department of Cardiovascular, Endocrine-Metabolic Diseases and Ageing, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.C.); (Z.M.); (S.T.)
- Correspondence: ; Tel.: +39-06-4990-2939
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Ren B, Wang L, Nan Y, Liu T, Zhao L, Ma H, Li J, Zhang Y, Ren X. RAB1A regulates glioma cellular proliferation and invasion via the mTOR signaling pathway and epithelial-mesenchymal transition. Future Oncol 2021; 17:3203-3216. [PMID: 33947216 DOI: 10.2217/fon-2021-0116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Aim: We aimed at investigating the mechanism of RAB1A proliferation and invasion in gliomas. Materials & methods: Genome-wide expression profile data and immunohistochemistry were analyzed to assess RAB1A expression in gliomas. The Transwell assay, wound healing assay, brain slice coculture model, cellular fluorescence and intracranial xenograft model of nude mice were used to determine the proliferation and invasion of glioma cells. Results & conclusion: RAB1A was highly expressed in gliomas compared with normal brain tissue. The overall survival time of glioma patients with high RAB1A expression was significantly shortened. RAB1A regulated the activity of RAC1 by inhibiting the mTOR signaling pathway, affecting actin polymerization, cell morphology and cell polarity. RAB1A downregulation inhibited the epithelial-mesenchymal transition, proliferation and invasion of glioma cells.
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Affiliation(s)
- Bingcheng Ren
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, 300052, China
| | - Le Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China
| | - Yang Nan
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China
| | - Tong Liu
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China
| | - Liwen Zhao
- Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China
| | - Haiwen Ma
- Department of Neurosurgery, Tianjin Medical University General Hospital Airport Site, Tianjin, 300308, China
| | - Jiabo Li
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, 300052, China
| | - Yiming Zhang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, 300052, China
| | - Xiao Ren
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.,Laboratory of Neuro-Oncology, Tianjin Neurological Institute, Tianjin, 300052, China
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Peng D, Ruan C, Fu S, He C, Song J, Li H, Tu Y, Tang D, Yao L, Lin S, Shi Y, Zhang W, Zhou H, Zhu L, Ma C, Chang C, Ma J, Xie Z, Wang C, Xue Y. Atg9-centered multi-omics integration reveals new autophagy regulators in Saccharomyces cerevisiae. Autophagy 2021; 17:4453-4476. [PMID: 33722159 DOI: 10.1080/15548627.2021.1898749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
In Saccharomyces cerevisiae, Atg9 is an important autophagy-related (Atg) protein, and interacts with hundreds of other proteins. How many Atg9-interacting proteins are involved in macroautophagy/autophagy is unclear. Here, we conducted a multi-omic profiling of Atg9-dependent molecular landscapes during nitrogen starvation-induced autophagy, and identified 290 and 256 genes to be markedly regulated by ATG9 in transcriptional and translational levels, respectively. Unexpectedly, we found most of known Atg proteins and autophagy regulators that interact with Atg9 were not significantly changed in the mRNA or protein level during autophagy. Based on a hypothesis that proteins with similar molecular characteristics might have similar functions, we developed a new method named inference of functional interacting partners (iFIP) to integrate the transcriptomic, proteomic and interactomic data, and predicted 42 Atg9-interacting proteins to be potentially involved in autophagy, including 15 known Atg proteins or autophagy regulators. We validated 2 Atg9-interacting partners, Glo3 and Scs7, to be functional in both bulk and selective autophagy. The mRNA and protein expressions but not subcellular localizations of Glo3 and Scs7 were affected with or without ATG9 during autophagy, whereas the colocalizations of the 2 proteins and Atg9 were markedly enhanced at early stages of the autophagic process. Further analyses demonstrated that Glo3 but not Scs7 regulates the retrograde transport of Atg9 during autophagy. A working model was illustrated to highlight the importance of the Atg9 interactome. Taken together, our study not only provided a powerful method for analyzing the multi-omics data, but also revealed 2 new players that regulate autophagy.Abbreviations: ALP: alkaline phosphatase; Arf1: ADP-ribosylation factor 1; Atg: autophagy-related; Co-IP: co-immunoprecipitation; Cvt: cytoplasm-to-vacuole targeting; DEM: differentially expressed mRNA; DEP: differentially expressed protein; DIC: differential interference contrast; E-ratio: enrichment ratio; ER: endoplasmic reticulum; ES: enrichment score; FC: fold change; FPKM: fragments per kilobase of exon per million fragments mapped; GAP: GTPase-activating protein; GFP: green fluorescent protein; GO: gene ontology; GSEA: gene set enrichment analysis; GST: glutathione S-transferase; HA: hemagglutinin; iFIP: inference of functional interacting partners; KO: knockout; LR: logistic regression; OE: over-expression; PAS: phagophore assembly site; PPI: protein-protein interaction; RFP: red fluorescence protein; RNA-seq: RNA sequencing; RT-PCR: real-time polymerase chain reaction; SCC: Spearman's correlation coefficient; SD-N: synthetic minimal medium lacking nitrogen; THANATOS: The Autophagy, Necrosis, ApopTosis OrchestratorS; Vsn: variance stabilization normalization; WT: wild-type.
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Affiliation(s)
- Di Peng
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China.,Nanjing University Institute of Artificial Intelligence Biomedicine, Nanjing, Jiangsu China
| | - Chen Ruan
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Shanshan Fu
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Chengwen He
- State Key Laboratory of Microbial Metabolism & Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai China
| | - Jingzhen Song
- State Key Laboratory of Microbial Metabolism & Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai China
| | - Hui Li
- State Key Laboratory of Microbial Metabolism & Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai China
| | - Yiran Tu
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Dachao Tang
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Lan Yao
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Shaofeng Lin
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Ying Shi
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Weizhi Zhang
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Hao Zhou
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Le Zhu
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Cong Ma
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Cheng Chang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, Beijing China
| | - Jie Ma
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Life Omics, Beijing China
| | - Zhiping Xie
- State Key Laboratory of Microbial Metabolism & Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai China
| | - Chenwei Wang
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Yu Xue
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei China.,Nanjing University Institute of Artificial Intelligence Biomedicine, Nanjing, Jiangsu China
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Progress in understanding the role of lncRNA in programmed cell death. Cell Death Dis 2021; 7:30. [PMID: 33558499 PMCID: PMC7870930 DOI: 10.1038/s41420-021-00407-1] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/17/2020] [Accepted: 01/09/2021] [Indexed: 01/30/2023]
Abstract
Long non-coding RNAs (lncRNAs) are transcripts longer than 200 nucleotides but not translated into proteins. LncRNAs regulate gene expressions at multiple levels, such as chromatin, transcription, and post-transcription. Further, lncRNAs participate in various biological processes such as cell differentiation, cell cycle regulation, and maintenance of stem cell pluripotency. We have previously reported that lncRNAs are closely related to programmed cell death (PCD), which includes apoptosis, autophagy, necroptosis, and ferroptosis. Overexpression of lncRNA can suppress the extrinsic apoptosis pathway by downregulating of membrane receptors and protect tumor cells by inhibiting the expression of necroptosis-related proteins. Some lncRNAs can also act as competitive endogenous RNA to prevent oxidation, thereby inhibiting ferroptosis, while some are known to activate autophagy. The relationship between lncRNA and PCD has promising implications in clinical research, and reports have highlighted this relationship in various cancers such as non-small cell lung cancer and gastric cancer. This review systematically summarizes the advances in the understanding of the molecular mechanisms through which lncRNAs impact PCD.
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Travaglione S, Loizzo S, Vona R, Ballan G, Rivabene R, Giordani D, Guidotti M, Dupuis ML, Maroccia Z, Baiula M, Rimondini R, Campana G, Fiorentini C. The Bacterial Toxin CNF1 Protects Human Neuroblastoma SH-SY5Y Cells against 6-Hydroxydopamine-Induced Cell Damage: The Hypothesis of CNF1-Promoted Autophagy as an Antioxidant Strategy. Int J Mol Sci 2020; 21:ijms21093390. [PMID: 32403292 PMCID: PMC7247702 DOI: 10.3390/ijms21093390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 04/29/2020] [Accepted: 05/08/2020] [Indexed: 12/14/2022] Open
Abstract
Several chronic neuroinflammatory diseases, including Parkinson’s disease (PD), have the so-called ‘redox imbalance’ in common, a dynamic system modulated by various factors. Among them, alteration of the mitochondrial functionality can cause overproduction of reactive oxygen species (ROS) with the consequent induction of oxidative DNA damage and apoptosis. Considering the failure of clinical trials with drugs that eliminate ROS directly, research currently focuses on approaches that counteract redox imbalance, thus restoring normal physiology in a neuroinflammatory condition. Herein, we used SH-SY5Y cells treated with 6-hydroxydopamine (6-OHDA), a neurotoxin broadly employed to generate experimental models of PD. Cells were pre-treated with the Rho-modulating Escherichia coli cytotoxic necrotizing factor 1 (CNF1), before the addition of 6-OHDA. Then, cell viability, mitochondrial morphology and dynamics, redox profile as well as autophagic markers expression were assessed. We found that CNF1 preserves cell viability and counteracts oxidative stress induced by 6-OHDA. These effects are accompanied by modulation of the mitochondrial network and an increase in macroautophagic markers. Our results confirm the Rho GTPases as suitable pharmacological targets to counteract neuroinflammatory diseases and evidence the potentiality of CNF1, whose beneficial effects on pathological animal models have been already proven to act against oxidative stress through an autophagic strategy.
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Affiliation(s)
- Sara Travaglione
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
- Correspondence: ; Tel.: +39-06-49903692
| | - Stefano Loizzo
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Rosa Vona
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Giulia Ballan
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Roberto Rivabene
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Danila Giordani
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Marco Guidotti
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Maria Luisa Dupuis
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Zaira Maroccia
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
| | - Monica Baiula
- University of Bologna, 40126 Bologna, Italy; (M.B.); (R.Rim); (G.C.)
| | - Roberto Rimondini
- University of Bologna, 40126 Bologna, Italy; (M.B.); (R.Rim); (G.C.)
| | - Gabriele Campana
- University of Bologna, 40126 Bologna, Italy; (M.B.); (R.Rim); (G.C.)
| | - Carla Fiorentini
- Istituto Superiore di Sanità, 00161 Rome, Italy; (S.L.); (R.V.); (G.B.); (R.Riv); (D.G.); (M.G.); (M.L.D.); (Z.M.); or
- Association for Research on Integrative Oncology Therapies (ARTOI), 00165 Rome, Italy
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Wakade R, Labbaoui H, Stalder D, Arkowitz RA, Bassilana M. Overexpression of YPT6 restores invasive filamentous growth and secretory vesicle clustering in a Candida albicans arl1 mutant. Small GTPases 2017; 11:204-210. [PMID: 28960163 DOI: 10.1080/21541248.2017.1378157] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Virulence of the human fungal pathogen Candida albicans depends on the switch from budding to filamentous growth. Deletion of the Arf GTPase Arl1 results in hyphae that are shorter as well as reduced virulence. How Arl1 is regulated during hyphal growth, a process characteristic of filamentous fungi, yet absent in S. cerevisiae, is unknown. Here, we investigated the importance of the Rab6 homolog, Ypt6, in Arl1-dependent hyphal growth and determined that YPT6 overexpression specifically rescued the hyphal growth defect of an arl1 mutant, but not the converse. Furthermore, we show that deletion of ARL1 results in an alteration of the distribution of the Rab8 homolog, Sec4, in hyphal cells and that this defect is restored upon YPT6 overexpression.
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Affiliation(s)
- Rohan Wakade
- Université Côte d'Azur, CNRS, INSERM, iBV, Parc Valrose, Nice, FRANCE
| | - Hayet Labbaoui
- Université Côte d'Azur, CNRS, INSERM, iBV, Parc Valrose, Nice, FRANCE
| | - Danièle Stalder
- Université Côte d'Azur, CNRS, INSERM, iBV, Parc Valrose, Nice, FRANCE
| | - Robert A Arkowitz
- Université Côte d'Azur, CNRS, INSERM, iBV, Parc Valrose, Nice, FRANCE
| | - Martine Bassilana
- Université Côte d'Azur, CNRS, INSERM, iBV, Parc Valrose, Nice, FRANCE
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Zhou CX, Shi LY, Li RC, Liu YH, Xu BQ, Liu JW, Yuan B, Yang ZX, Ying XY, Zhang D. GTPase-activating protein Elmod2 is essential for meiotic progression in mouse oocytes. Cell Cycle 2017; 16:852-860. [PMID: 28324667 DOI: 10.1080/15384101.2017.1304329] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Meiotic failure in oocytes is the major determinant of human zygote-originated reproductive diseases, the successful accomplishment of meiosis largely relay on the normal functions of many female fertility factors. Elmod2 is a member of the Elmod family with the strongest GAP (GTPase-activating protein) activity; although it was identified as a possible maternal protein, its actual physiologic role in mammalian oocytes has not been elucidated. Herein we reported that among Elmod family proteins, Elmod2 is the most abundant in mouse oocytes, and that inhibition of Elmod2 by specific siRNA caused severe meiotic delay and abnormal chromosomal segregation during anaphase. Elmod2 knockdown also significantly decreased the rate of oocyte maturation (to MII, with first polar body extrusion), and significantly greater numbers of Elmod2-knockdown MII oocytes were aneuploid. Correspondingly, Elmod2 knockdown dramatically decreased fertilization rate. To investigate the mechanism(s) involved, we found that Elmod2 knockdown caused significantly more abnormal mitochondrial aggregation and diminished cellular ATP levels; and we also found that Elmod2 co-localized and interacted with Arl2, a GTPase that is known to maintain mitochondrial dynamics and ATP levels in oocytes. In summary, we found that Elmod2 is the GAP essential to meiosis progression of mouse oocytes, most likely by regulating mitochondrial dynamics.
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Affiliation(s)
- Chun-Xiang Zhou
- a State Key Lab of Reproductive Medicine , Nanjing Medical University , Nanjing , Jiangsu , P.R. China
| | - Li-Ya Shi
- a State Key Lab of Reproductive Medicine , Nanjing Medical University , Nanjing , Jiangsu , P.R. China
| | - Rui-Chao Li
- b Liuzhou Worker's Hospital , Liuzhou , Guangxi , China
| | - Ya-Hong Liu
- c The Second Affiliated Hospital , Nanjing Medical University , Nanjing , Jiangsu , China
| | - Bo-Qun Xu
- c The Second Affiliated Hospital , Nanjing Medical University , Nanjing , Jiangsu , China
| | - Jin-Wei Liu
- d Department of Gynecology , Zhejiang Provincial People's Hospital , Hangzhou , Zhejiang , China
| | - Bo Yuan
- e Wenxi Agriculture Committee , Yuncheng , Shanxi , China
| | - Zhi-Xia Yang
- a State Key Lab of Reproductive Medicine , Nanjing Medical University , Nanjing , Jiangsu , P.R. China
| | - Xiao-Yan Ying
- c The Second Affiliated Hospital , Nanjing Medical University , Nanjing , Jiangsu , China
| | - Dong Zhang
- a State Key Lab of Reproductive Medicine , Nanjing Medical University , Nanjing , Jiangsu , P.R. China
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