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Daldoul S, Hanzouli F, Boubakri H, Nick P, Mliki A, Gargouri M. Deciphering the regulatory networks involved in mild and severe salt stress responses in the roots of wild grapevine Vitis vinifera spp. sylvestris. PROTOPLASMA 2024; 261:447-462. [PMID: 37963978 DOI: 10.1007/s00709-023-01908-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/06/2023] [Indexed: 11/16/2023]
Abstract
Transcriptional regulatory networks are pivotal components of plant's response to salt stress. However, plant adaptation strategies varied as a function of stress intensity, which is mainly modulated by climate change. Here, we determined the gene regulatory networks based on transcription factor (TF) TF_gene co-expression, using two transcriptomic data sets generated from the salt-tolerant "Tebaba" roots either treated with 50 mM NaCl (mild stress) or 150 mM NaCl (severe stress). The analysis of these regulatory networks identified specific TFs as key regulatory hubs as evidenced by their multiple interactions with different target genes related to stress response. Indeed, under mild stress, NAC and bHLH TFs were identified as central hubs regulating nitrogen storage process. Moreover, HSF TFs were revealed as a regulatory hub regulating various aspects of cellular metabolism including flavonoid biosynthesis, protein processing, phenylpropanoid metabolism, galactose metabolism, and heat shock proteins. These processes are essentially linked to short-term acclimatization under mild salt stress. This was further consolidated by the protein-protein interaction (PPI) network analysis showing structural and plant growth adjustment. Conversely, under severe salt stress, dramatic metabolic changes were observed leading to novel TF members including MYB family as regulatory hubs controlling isoflavonoid biosynthesis, oxidative stress response, abscisic acid signaling pathway, and proteolysis. The PPI network analysis also revealed deeper stress defense changes aiming to restore plant metabolic homeostasis when facing severe salt stress. Overall, both the gene co-expression and PPI network provided valuable insights on key transcription factor hubs that can be employed as candidates for future genetic crop engineering programs.
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Affiliation(s)
- Samia Daldoul
- Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, BP. 901, Hammam-Lif, Tunisia.
| | - Faouzia Hanzouli
- Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, BP. 901, Hammam-Lif, Tunisia
- Faculty of Sciences of Tunis, University Tunis El-Manar, El Manar II, 2092, Tunis, Tunisia
| | - Hatem Boubakri
- Laboratory of Legumes and Sustainable Agrosystems, Centre of Biotechnology of Borj-Cedria, B.P 901, 2050, Hammam-Lif, Tunisia
| | - Peter Nick
- Molecular Cell Biology, Botanical Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Ahmed Mliki
- Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, BP. 901, Hammam-Lif, Tunisia
| | - Mahmoud Gargouri
- Laboratory of Plant Molecular Physiology, Centre of Biotechnology of Borj-Cedria, BP. 901, Hammam-Lif, Tunisia.
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2
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Shichinohe M, Ohkawa S, Hirose Y, Eki T. Sensing chemical-induced genotoxicity and oxidative stress via yeast-based reporter assays using NanoLuc luciferase. PLoS One 2023; 18:e0294571. [PMID: 37992069 PMCID: PMC10664910 DOI: 10.1371/journal.pone.0294571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/04/2023] [Indexed: 11/24/2023] Open
Abstract
Mutagens and oxidative agents damage biomolecules, such as DNA; therefore, detecting genotoxic and oxidative chemicals is crucial for maintaining human health. To address this, we have developed several types of yeast-based reporter assays designed to detect DNA damage and oxidative stress. This study aimed to develop a novel yeast-based assay using a codon-optimized stable or unstable NanoLuc luciferase (yNluc and yNluCP) gene linked to a DNA damage- or oxidative stress-responsive promoter, enabling convenient sensing genotoxicity or oxidative stress, respectively. End-point luciferase assays using yeasts with a chromosomally integrated RNR3 promoter (PRNR3)-driven yNluc gene exhibited high levels of chemiluminescence via NanoLuc luciferase and higher fold induction by hydroxyurea than a multi-copy plasmid-based assay. Additionally, the integrated reporter system detected genotoxicity caused by four different types of chemicals. Oxidants (hydrogen peroxide, tert-butyl hydroperoxide, and menadione) were successfully detected through transient expressions of luciferase activity in real-time luciferase assay using yeasts with a chromosomally integrated TRX2 promoter (PTRX2)-linked yNlucCP gene. However, the luciferase activity was gradually induced in yeasts with a multi-copy reporter plasmid, and their expression profiles were notably distinct from those observed in chromosomally integrated yeasts. The responses of yNlucCP gene against three oxidative chemicals, but not diamide and zinc oxide suspension, were observed using chromosomally integrated reporter yeasts. Given that yeast cells with chromosomally integrated PRNR3-linked yNluc and PTRX2-linked yNlucCP genes express strong chemiluminescence signals and are easily maintained and handled without restrictive nutrient medium, these yeast strains with NanoLuc reporters may prove useful for screening potential genotoxic and oxidative chemicals.
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Affiliation(s)
| | - Shun Ohkawa
- Molecular Genetics Laboratory, Toyohashi, Japan
| | - Yuu Hirose
- Department of Applied Chemistry and Life Science, Laboratory of Genomics and Photobiology, Toyohashi University of Technology, Toyohashi, Aichi, Japan
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3
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López-Gil L, Pascual-Ahuir A, Proft M. Genomic Instability and Epigenetic Changes during Aging. Int J Mol Sci 2023; 24:14279. [PMID: 37762580 PMCID: PMC10531692 DOI: 10.3390/ijms241814279] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Aging is considered the deterioration of physiological functions along with an increased mortality rate. This scientific review focuses on the central importance of genomic instability during the aging process, encompassing a range of cellular and molecular changes that occur with advancing age. In particular, this revision addresses the genetic and epigenetic alterations that contribute to genomic instability, such as telomere shortening, DNA damage accumulation, and decreased DNA repair capacity. Furthermore, the review explores the epigenetic changes that occur with aging, including modifications to histones, DNA methylation patterns, and the role of non-coding RNAs. Finally, the review discusses the organization of chromatin and its contribution to genomic instability, including heterochromatin loss, chromatin remodeling, and changes in nucleosome and histone abundance. In conclusion, this review highlights the fundamental role that genomic instability plays in the aging process and underscores the need for continued research into these complex biological mechanisms.
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Affiliation(s)
- Lucía López-Gil
- Department of Biotechnology, Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain;
- Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia IBV-CSIC, Consejo Superior de Investigaciones Científicas CSIC, Jaime Roig 11, 46010 Valencia, Spain
| | - Amparo Pascual-Ahuir
- Department of Biotechnology, Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València, Ingeniero Fausto Elio s/n, 46022 Valencia, Spain;
| | - Markus Proft
- Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia IBV-CSIC, Consejo Superior de Investigaciones Científicas CSIC, Jaime Roig 11, 46010 Valencia, Spain
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4
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Del Giudice G, Serra A, Saarimäki LA, Kotsis K, Rouse I, Colibaba SA, Jagiello K, Mikolajczyk A, Fratello M, Papadiamantis AG, Sanabria N, Annala ME, Morikka J, Kinaret PAS, Voyiatzis E, Melagraki G, Afantitis A, Tämm K, Puzyn T, Gulumian M, Lobaskin V, Lynch I, Federico A, Greco D. An ancestral molecular response to nanomaterial particulates. NATURE NANOTECHNOLOGY 2023; 18:957-966. [PMID: 37157020 PMCID: PMC10427433 DOI: 10.1038/s41565-023-01393-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 03/31/2023] [Indexed: 05/10/2023]
Abstract
The varied transcriptomic response to nanoparticles has hampered the understanding of the mechanism of action. Here, by performing a meta-analysis of a large collection of transcriptomics data from various engineered nanoparticle exposure studies, we identify common patterns of gene regulation that impact the transcriptomic response. Analysis identifies deregulation of immune functions as a prominent response across different exposure studies. Looking at the promoter regions of these genes, a set of binding sites for zinc finger transcription factors C2H2, involved in cell stress responses, protein misfolding and chromatin remodelling and immunomodulation, is identified. The model can be used to explain the outcomes of mechanism of action and is observed across a range of species indicating this is a conserved part of the innate immune system.
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Affiliation(s)
- G Del Giudice
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - A Serra
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Institute for Advanced Study, Tampere, Finland
| | - L A Saarimäki
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - K Kotsis
- School of Physics, University College Dublin, Dublin, Ireland
| | - I Rouse
- School of Physics, University College Dublin, Dublin, Ireland
| | - S A Colibaba
- School of Physics, University College Dublin, Dublin, Ireland
| | - K Jagiello
- Group of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland
- QSAR Lab Ltd, Gdańsk, Poland
| | - A Mikolajczyk
- Group of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland
- QSAR Lab Ltd, Gdańsk, Poland
| | - M Fratello
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - A G Papadiamantis
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
- Novamechanics Ltd, Nicosia, Cyprus
| | - N Sanabria
- National Institute for Occupational Health, National Health Laboratory Services, Johannesburg, South Africa
- School of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
| | - M E Annala
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - J Morikka
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - P A S Kinaret
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Institute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, Helsinki, Finland
| | | | - G Melagraki
- Division of Physical Sciences and Applications, Hellenic Military Academy, Vari, Greece
| | | | - K Tämm
- Institute of Chemistry, University of Tartu, Tartu, Estonia
| | - T Puzyn
- Group of Environmental Chemoinformatics, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland
- QSAR Lab Ltd, Gdańsk, Poland
| | - M Gulumian
- National Institute for Occupational Health, National Health Laboratory Services, Johannesburg, South Africa
- Haematology and Molecular Medicine Department, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
- Water Research Group, Unit for Environmental Sciences and Management, North West University, Potchefstroom, South Africa
| | - V Lobaskin
- School of Physics, University College Dublin, Dublin, Ireland
| | - I Lynch
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - A Federico
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Tampere Institute for Advanced Study, Tampere, Finland
| | - D Greco
- FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
- Institute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, Helsinki, Finland.
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.
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5
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Topolewski P, Zakrzewska KE, Walczak J, Nienałtowski K, Müller-Newen G, Singh A, Komorowski M. Phenotypic variability, not noise, accounts for most of the cell-to-cell heterogeneity in IFN-γ and oncostatin M signaling responses. Sci Signal 2022; 15:eabd9303. [PMID: 35167339 DOI: 10.1126/scisignal.abd9303] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Cellular signaling responses show substantial cell-to-cell heterogeneity, which is often ascribed to the inherent randomness of biochemical reactions, termed molecular noise, wherein high noise implies low signaling fidelity. Alternatively, heterogeneity could arise from differences in molecular content between cells, termed molecular phenotypic variability, which does not necessarily imply imprecise signaling. The contribution of these two processes to signaling heterogeneity is unclear. Here, we fused fibroblasts to produce binuclear syncytia to distinguish noise from phenotypic variability in the analysis of cytokine signaling. We reasoned that the responses of the two nuclei within one syncytium could approximate the signaling outcomes of two cells with the same molecular content, thereby disclosing noise contribution, whereas comparison of different syncytia should reveal contribution of phenotypic variability. We found that ~90% of the variance in the primary response (which was the abundance of phosphorylated, nuclear STAT) to stimulation with the cytokines interferon-γ and oncostatin M resulted from differences in the molecular content of individual cells. Thus, our data reveal that cytokine signaling in the system used here operates in a reproducible, high-fidelity manner.
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Affiliation(s)
- Piotr Topolewski
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Karolina E Zakrzewska
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Jarosław Walczak
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Karol Nienałtowski
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Gerhard Müller-Newen
- Institute of Biochemistry and Molecular Biology, RWTH Aachen University, 52074 Aachen, Germany
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA
| | - Michał Komorowski
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, Poland
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6
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Dawes IW, Perrone GG. Stress and ageing in yeast. FEMS Yeast Res 2021; 20:5670642. [PMID: 31816015 DOI: 10.1093/femsyr/foz085] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 12/05/2019] [Indexed: 02/06/2023] Open
Abstract
There has long been speculation about the role of various stresses in ageing. Some stresses have beneficial effects on ageing-dependent on duration and severity of the stress, others have negative effects and the question arises whether these negative effects are causative of ageing or the result of the ageing process. Cellular responses to many stresses are highly coordinated in a concerted way and hence there is a great deal of cross-talk between different stresses. Here the relevant aspects of the coordination of stress responses and the roles of different stresses on yeast cell ageing are discussed, together with the various functions that are involved. The cellular processes that are involved in alleviating the effects of stress on ageing are considered, together with the possible role of early stress events on subsequent ageing of cells.
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Affiliation(s)
- Ian W Dawes
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Gabriel G Perrone
- School of Science and Health, Western Sydney University, Campbelltown, NSW 2560, Australia
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7
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Chen K, Shen W, Gao Z, Luo C. Stress response capacity analysis during aging and possible new insights into aging studies. Curr Genet 2021; 67:417-420. [PMID: 33580302 DOI: 10.1007/s00294-021-01159-2] [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] [Received: 11/12/2020] [Revised: 01/26/2021] [Accepted: 01/29/2021] [Indexed: 01/08/2023]
Abstract
The causes and consequences of aging have always been a concern. In recent studies, changes in the stress response capacity of cells during aging were quantitatively analyzed. It was found that aging was accompanied by a decline in response capacity. When the response capacity decreased to a critical value, which we assumed was the internal noise level, the cell soon died. To survive, the response capacity should be, at minimum, sufficiently strong to resist intracellular noise. Here, we discuss the role of stress response capacity in aging and conjecture that lifespan might be extended by enhancing stress response capacity.
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Affiliation(s)
- Kaiyue Chen
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.,Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Wenting Shen
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ziqing Gao
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Chunxiong Luo
- The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China. .,Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
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8
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Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell. Int J Mol Sci 2020; 21:ijms21218278. [PMID: 33167354 PMCID: PMC7663833 DOI: 10.3390/ijms21218278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/29/2020] [Accepted: 11/03/2020] [Indexed: 11/21/2022] Open
Abstract
The regulation of gene expression is a fundamental process enabling cells to respond to internal and external stimuli or to execute developmental programs. Changes in gene expression are highly dynamic and depend on many intrinsic and extrinsic factors. In this review, we highlight the dynamic nature of transient gene expression changes to better understand cell physiology and development in general. We will start by comparing recent in vivo procedures to capture gene expression in real time. Intrinsic factors modulating gene expression dynamics will then be discussed, focusing on chromatin modifications. Furthermore, we will dissect how cell physiology or age impacts on dynamic gene regulation and especially discuss molecular insights into acquired transcriptional memory. Finally, this review will give an update on the mechanisms of heterogeneous gene expression among genetically identical individual cells. We will mainly focus on state-of-the-art developments in the yeast model but also cover higher eukaryotic systems.
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9
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Vanacloig-Pedros E, Lozano-Pérez C, Alarcón B, Pascual-Ahuir A, Proft M. Live-cell assays reveal selectivity and sensitivity of the multidrug response in budding yeast. J Biol Chem 2019; 294:12933-12946. [PMID: 31296662 DOI: 10.1074/jbc.ra119.009291] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 07/04/2019] [Indexed: 11/06/2022] Open
Abstract
Pleiotropic drug resistance arises by the enhanced extrusion of bioactive molecules and is present in a wide range of organisms, ranging from fungi to human cells. A key feature of this adaptation is the sensitive detection of intracellular xenobiotics by transcriptional activators, activating expression of multiple drug exporters. Here, we investigated the selectivity and sensitivity of the budding yeast (Saccharomyces cerevisiae) multidrug response to better understand how differential drug recognition leads to specific activation of drug exporter genes and to drug resistance. Applying live-cell luciferase reporters, we demonstrate that the SNQ2, PDR5, PDR15, and YOR1 transporter genes respond to different mycotoxins, menadione, and hydrogen peroxide in a distinguishable manner and with characteristic amplitudes, dynamics, and sensitivities. These responses correlated with differential sensitivities of the respective transporter mutants to the specific xenobiotics. We further establish a binary vector system, enabling quantitative determination of xenobiotic-transcription factor (TF) interactions in real time. Applying this system we found that the TFs Pdr1, Pdr3, Yrr1, Stb5, and Pdr8 have largely different drug recognition patterns. We noted that Pdr1 is the most promiscuous activator, whereas Yrr1 and Stb5 are selective for ochratoxin A and hydrogen peroxide, respectively. We also show that Pdr1 is rapidly degraded after xenobiotic exposure, which leads to a desensitization of the Pdr1-specific response upon repeated activation. The findings of our work indicate that in the yeast multidrug system, several transcriptional activators with distinguishable selectivities trigger differential activation of the transporter genes.
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Affiliation(s)
- Elena Vanacloig-Pedros
- Department of Biotechnology, Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València, 46022 Valencia, Spain
| | - Carlos Lozano-Pérez
- Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia IBV-CSIC, 46010 Valencia, Spain
| | - Benito Alarcón
- Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia IBV-CSIC, 46010 Valencia, Spain
| | - Amparo Pascual-Ahuir
- Department of Biotechnology, Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València, 46022 Valencia, Spain.
| | - Markus Proft
- Department of Molecular and Cellular Pathology and Therapy, Instituto de Biomedicina de Valencia IBV-CSIC, 46010 Valencia, Spain.
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