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Li C, Murugaiyan J, Thomas C, Alter T, Riedel C. Isolate Specific Cold Response of Yersinia enterocolitica in Transcriptional, Proteomic, and Membrane Physiological Changes. Front Microbiol 2020; 10:3037. [PMID: 32038527 PMCID: PMC6990146 DOI: 10.3389/fmicb.2019.03037] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 12/17/2019] [Indexed: 12/24/2022] Open
Abstract
Yersinia enterocolitica, a zoonotic foodborne pathogen, is able to withstand low temperatures. This psychrotrophic ability allows it to multiply in food stored in refrigerators. However, little is known about the Y. enterocolitica cold response. In this study, isolate-specific behavior at 4°C was demonstrated and the cold response was investigated by examining changes in phenotype, gene expression, and the proteome. Altered expression of cold-responsive genes showed that the ability to survive at low temperature depends on the capacity to acclimate and adapt to cold stress. This cold acclimation at the transcriptional level involves the transient induction and effective repression of cold-shock protein (Csp) genes. Moreover, the resumption of expression of genes encoding other non-Csp is essential during prolonged adaptation. Based on proteomic analyses, the predominant functional categories of cold-responsive proteins are associated with protein synthesis, cell membrane structure, and cell motility. In addition, changes in membrane fluidity and motility were shown to be important in the cold response of Y. enterocolitica. Isolate-specific differences in the transcription of membrane fluidity- and motility-related genes provided evidence to classify strains within a spectrum of cold response. The combination of different approaches has permitted the systematic description of the Y. enterocolitica cold response and gives a better understanding of the physiological processes underlying this phenomenon.
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Affiliation(s)
- Chenyang Li
- Institute of Food Safety and Food Hygiene, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Jayaseelan Murugaiyan
- Institute for Animal Hygiene and Environmental Health, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Department of Biotechnology, SRM University AP, Amaravati, India
| | - Christian Thomas
- Department of Food Science and Technology, Beuth University of Applied Sciences Berlin, Berlin, Germany
| | - Thomas Alter
- Institute of Food Safety and Food Hygiene, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Carolin Riedel
- Institute of Food Safety and Food Hygiene, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
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Prediction and Characterisation of the System Effects of Aristolochic Acid: A Novel Joint Network Analysis towards Therapeutic and Toxicological Mechanisms. Sci Rep 2015; 5:17646. [PMID: 26620132 PMCID: PMC4664954 DOI: 10.1038/srep17646] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Accepted: 11/03/2015] [Indexed: 12/26/2022] Open
Abstract
Aristolochic acid (AA) is the major active component of medicinal plants from the Aristolochiaceae family of flowering plants widely utilized for medicinal purposes. However, the molecular mechanisms of AA systems effects remain poorly understood. Here, we employed a joint network analysis that combines network pharmacology, a protein–protein interaction (PPI) database, biological processes analysis and functional annotation analysis to explore system effects. Firstly, we selected 15 protein targets (14 genes) in the PubChem database as the potential target genes and used PPI knowledge to incorporate these genes into an AA-specific gene network that contains 129 genes. Secondly, we performed biological processes analysis for these AA-related targets using ClueGO, some of new targeted genes were randomly selected and experimentally verified by employing the Quantitative Real-Time PCR assay for targeting the systems effects of AA in HK-2 cells with observed dependency of concentration. Thirdly, the pathway-based functional enrichment analysis was manipulated using WebGestalt to identify the mostly significant pathways associated with AA. At last, we built an AA target pathway network of significant pathways to predict the system effects. Taken together, this joint network analysis revealed that the systematic regulatory effects of AA on multidimensional pathways involving both therapeutic action and toxicity.
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Gudkov SV, Astashev ME, Bruskov VI, Kozlov VА, Zakharov SD, Bunkin NF. Self-oscillating Water Chemiluminescence Modes and Reactive Oxygen Species Generation Induced by Laser Irradiation; Effect of the Exclusion Zone Created by Nafion. ENTROPY 2014; 16:6166-6185. [PMID: 33353259 DOI: 10.3390/e16116166] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 10/30/2014] [Accepted: 11/17/2014] [Indexed: 12/31/2022]
Abstract
Samples of water inside and outside an exclusion zone (EZ), created by Nafion swollen in water, were irradiated at the wavelength l = 1264 nm, which stimulates the electronic transition of dissolved oxygen from the triplet state to the excited singlet state. This irradiation induces, after a long latent period, chemiluminescence self-oscillations in the visible and near UV spectral range, which last many hours. It occurs that this effect is EZ-specific: the chemiluminescence intensity is twice lower than that from the bulk water, while the latent period is longer for the EZ. Laser irradiation causes accumulation of H2O2, which is also EZ-specific: its concentration inside the EZ is less than that in the bulk water. These phenomena can be interpreted in terms of a model of decreasing O2 content in the EZ due to increased chemical activity of bisulfite anions (HSO3-), arisen as the result of dissociation of terminal sulfonate groups of the Nafion. The wavelet transform analysis of the chemiluminescence intensity from the EZ and the bulk water gives, that self-oscillations regimes occurring in the liquid after the latent period are the determinate processes. It occurred that the chemiluminescence dynamics in case of EZ is characterized by a single-frequency self-oscillating regime, whereas in case of the bulk water, the self-oscillation spectrum consists of three spectral bands.
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Affiliation(s)
- Sergey V Gudkov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
- Pushchino State Natural Scientific Institute Pushchino, Nauki prospekt 1, Moscow Region, 142290, Russia
- Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Vavilova 38, 119991, Russia
| | - Maxim E Astashev
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
- Pushchino State Natural Scientific Institute Pushchino, Nauki prospekt 1, Moscow Region, 142290, Russia
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
| | - Vadim I Bruskov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
- Pushchino State Natural Scientific Institute Pushchino, Nauki prospekt 1, Moscow Region, 142290, Russia
| | - Valeriy А Kozlov
- Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Vavilova 38, 119991, Russia
- Bauman Moscow State Technical University, Moscow, Second Baumanskaya, 5, 105005, Russia
| | - Stanislav D Zakharov
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
- Lebedev Physical Institute, Russian Academy of Sciences, Moscow, Leninskiy prospekt 53, 119991, Russia
- National Research Nuclear University "MEPhI", Moscow, Kashirskoye shosse 31, 115409, Russia
| | - Nikolai F Bunkin
- Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Vavilova 38, 119991, Russia
- Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Institutskaya 3, Moscow Region, 142290, Russia
- Bauman Moscow State Technical University, Moscow, Second Baumanskaya, 5, 105005, Russia
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