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Sabetian S, Zarei M, Jahromi BN, Morowvat MH, Tabei SMB, Cava C. Exploring the dysregulated mRNAs-miRNAs-lncRNAs interactions associated to idiopathic non-obstructive azoospermia. J Biomol Struct Dyn 2021; 40:5956-5964. [PMID: 33499760 DOI: 10.1080/07391102.2021.1875879] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Non-obstructive azoospermia (NOA) is the most clinical problem in case of infertility. About 70% of NOA patients are idiopathic with uncharacterized molecular mechanisms. This study aimed to analyze the possible pathogenic miRNA-target gene interaction and lncRNA-miRNA association involved in NOA. In the current study, differentially expressed (DE) nRNAs, miRNAs and lncRNAs were determined using the microarray dataset and statistical software R. miRNAs-mRNA and miRNA-lncRNA interactions were identified and the base-pair binding between the seed region of miRNAs and complementary nucleotides in 3' UTR of mRNAs were analyzed. The influence of the validated single nucleotide polymorphisms (SNPs) was described by calculating the minimum free energy (MFE) of the interaction. A total of 74 mRNAs, 14 miRNAs, and 10 lncRNAs were identified to have significant differential expression in testicular tissue between patients and the fertile group. Four of the DE-mRNAs and all of the reported DE-miRNAs were upregulated. In addition, all of the represented DE-lncRNAs were showed to be downregulated. miR-509-5p and miR-27b-3p were found to interact with target gene polo-like kinase 1 (PLK1) and Cysteine-rich secretory protein2 (CRISP2), respectively. Rs550967205 (A > G) positioned at 3' UTR CRISP2 and rs544604911 (T > C) located at 3' UTR PLK1, with lowest MFE in miRNA-mRNA interaction, were assumed to have possible pathogenic roles linked to spermatogenesis arrest. The results of the study provide new clues to understand the regulatory roles of miRNAs and lncRNAs in the pathogenesis and diagnosis of idiopathic azoospermia. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Soudabeh Sabetian
- Infertility Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahboubeh Zarei
- Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Bahia Namavar Jahromi
- Infertility Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Department of Obstetrics and Gynecology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | | | - Claudia Cava
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy
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2
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Arraes FBM, Martins-de-Sa D, Noriega Vasquez DD, Melo BP, Faheem M, de Macedo LLP, Morgante CV, Barbosa JARG, Togawa RC, Moreira VJV, Danchin EGJ, Grossi-de-Sa MF. Dissecting protein domain variability in the core RNA interference machinery of five insect orders. RNA Biol 2020; 18:1653-1681. [PMID: 33302789 DOI: 10.1080/15476286.2020.1861816] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
RNA interference (RNAi)-mediated gene silencing can be used to control specific insect pest populations. Unfortunately, the variable efficiency in the knockdown levels of target genes has narrowed the applicability of this technology to a few species. Here, we examine the current state of knowledge regarding the miRNA (micro RNA) and siRNA (small interfering RNA) pathways in insects and investigate the structural variability at key protein domains of the RNAi machinery. Our goal was to correlate domain variability with mechanisms affecting the gene silencing efficiency. To this end, the protein domains of 168 insect species, encompassing the orders Coleoptera, Diptera, Hemiptera, Hymenoptera, and Lepidoptera, were analysed using our pipeline, which takes advantage of meticulous structure-based sequence alignments. We used phylogenetic inference and the evolutionary rate coefficient (K) to outline the variability across domain regions and surfaces. Our results show that four domains, namely dsrm, Helicase, PAZ and Ribonuclease III, are the main contributors of protein variability in the RNAi machinery across different insect orders. We discuss the potential roles of these domains in regulating RNAi-mediated gene silencing and the role of loop regions in fine-tuning RNAi efficiency. Additionally, we identified several order-specific singularities which indicate that lepidopterans have evolved differently from other insect orders, possibly due to constant coevolution with plants and viruses. In conclusion, our results highlight several variability hotspots that deserve further investigation in order to improve the application of RNAi technology in the control of insect pests.
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Affiliation(s)
| | - Diogo Martins-de-Sa
- Departamento De Biologia Celular, Universidade De Brasília, Brasília-DF, Brazil
| | - Daniel D Noriega Vasquez
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Catholic University of Brasília, Brasília-DF, Brazil
| | - Bruno Paes Melo
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Viçosa University, UFV, Viçosa-MG, Brazil
| | - Muhammad Faheem
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Department of Biological Sciences, National University of Medical Sciences, Punjab, Pakistan
| | | | - Carolina Vianna Morgante
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Embrapa Semiarid, Petrolina-PE, Brazil.,National Institute of Science and Technology, Jakarta Embrapa-Brazil
| | | | - Roberto Coiti Togawa
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil
| | - Valdeir Junio Vaz Moreira
- Biotechnology Center, Brazil.,Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Departamento De Biologia Celular, Universidade De Brasília, Brasília-DF, Brazil
| | - Etienne G J Danchin
- National Institute of Science and Technology, Jakarta Embrapa-Brazil.,INRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech, Sophia-Antipolis, France
| | - Maria Fatima Grossi-de-Sa
- Plant-Pest Molecular Interaction Laboratory (LIMPP), Brasilia, Brasília-DF, Brazil.,Catholic University of Brasília, Brasília-DF, Brazil.,National Institute of Science and Technology, Jakarta Embrapa-Brazil
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Sun G, Wang J, Huang Y, Yuan CWY, Zhang K, Hu S, Chen L, Lin RJ, Yen Y, Riggs AD. Differences in silencing of mismatched targets by sliced versus diced siRNAs. Nucleic Acids Res 2019; 46:6806-6822. [PMID: 29718312 PMCID: PMC6061797 DOI: 10.1093/nar/gky287] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 04/20/2018] [Indexed: 01/11/2023] Open
Abstract
It has been reported that the two major types of RNA interference triggers, the classical Dicer-generated small RNAs (siRNAs), which function with all members of the Argonaute (Ago) protein family in mammals, and the Ago2-sliced small RNAs (sli-siRNAs), which function solely through Ago2, have similar potency in target cleavage and repression. Here, we show that sli-siRNAs are generally more potent than siRNAs in silencing mismatched targets. This phenomenon is usually more apparent in targets that have mismatched nucleotides in the 3′ supplementary region than in targets with mismatches in the seed region. We demonstrate that Ago2 slicer activity is a major factor contributing to the greater silencing efficiency of sli-siRNA against mismatched targets and that participation of non-slicing Agos in silencing mismatched siRNA targets may dilute the slicing ability of Ago2. The difference in length of the mature guide RNA used in sli-RISCs and si-RISCs may also contribute to the observed difference in knockdown efficiency. Our data suggest that a sli-siRNA guide strand is likely to have substantially stronger off-target effects than a guide strand with the same sequence in a classical siRNA and that Dicer and non-slicing Agos may play pivotal roles in controlling siRNA target specificity.
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Affiliation(s)
- Guihua Sun
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Jinghan Wang
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Yasheng Huang
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Christine Wan-Yin Yuan
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Keqiang Zhang
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Shuya Hu
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Linling Chen
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Ren-Jang Lin
- Department of Molecular and Cellular Biology, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
| | - Yun Yen
- Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
| | - Arthur D Riggs
- Department of Diabetes Complications & Metabolism, Diabetes and Metabolism Research Institute, Beckman Research Institute of City of Hope, 1500 E. Duarte Road, Duarte, CA 91010-3000, USA
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Theis V, Theiss C. Progesterone Effects in the Nervous System. Anat Rec (Hoboken) 2019; 302:1276-1286. [PMID: 30951258 DOI: 10.1002/ar.24121] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 11/12/2018] [Accepted: 12/05/2018] [Indexed: 12/17/2022]
Abstract
The sex hormone progesterone is mainly known as a key factor in establishing and maintaining pregnancy. In addition, progesterone has been shown to induce morphological changes in the central and peripheral nervous system by increasing dendrito-, spino-, and synaptogenesis in Purkinje cells (Wessel et al.: Cell Mol Life Sci (2014a) 1723-1740) and increasing axonal outgrowth in dorsal root ganglia (Olbrich et al.: Endocrinology (2013) 3784-3795). These effects mediated mainly by the classical progesterone receptors (PRs) A and B seem to be limited to young neurons. It may be assumed that microRNAs (miRNAs), which are potent regulators of nervous system maturation and degeneration, are also involved in the regulation of progesterone-mediated neuronal plasticity by altering the expression patterns of the corresponding PR A/B receptors (Theis and Theiss: Neural Regen Res (2015) 547-549, Pieczora et al.: Cerebellum (2017) 376-387). This review critically discusses current data on the neuroprotective effect of progesterone and its corresponding receptors in the nervous system, with possible regulatory processes by miRNAs. Preclinical studies on stroke and traumatic brain injury revealed neuroprotective and neuroregenerative effects of progesterone in the treatment of severe neurological diseases in animal models, but have so far failed in humans. In this context, the identification of specific miRNAs that regulate the expression of progesterone and PR could help to exploit the neuroprotective potential of progesterone for the treatment of various neurological disorders. Anat Rec, 302:1276-1286, 2019. © 2019 Wiley Periodicals, Inc.
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Affiliation(s)
- Verena Theis
- Department of Cytology, Institute of Anatomy, Ruhr-University Bochum, Bochum, Germany
| | - Carsten Theiss
- Department of Cytology, Institute of Anatomy, Ruhr-University Bochum, Bochum, Germany
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An Examination of the Role of Transcriptional and Posttranscriptional Regulation in Rhabdomyosarcoma. Stem Cells Int 2017. [PMID: 28638414 PMCID: PMC5468592 DOI: 10.1155/2017/2480375] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Rhabdomyosarcoma (RMS) is an aggressive family of soft tissue tumors that most commonly manifests in children. RMS variants express several skeletal muscle markers, suggesting myogenic stem or progenitor cell origin of RMS. In this review, the roles of both recently identified and well-established microRNAs in RMS are discussed and summarized in a succinct, tabulated format. Additionally, the subtypes of RMS are reviewed along with the involvement of basic helix-loop-helix (bHLH) proteins, Pax proteins, and microRNAs in normal and pathologic myogenesis. Finally, the current and potential future treatment options for RMS are outlined.
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