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1.
Building and applying quantitative adverse outcome pathway models for chemical hazard and risk assessment
Edward J. Perkins, Roman Ashauer, Lyle Burgoon, Rory Conolly, Brigitte Landesmann, Cameron Mackay, Cheryl A. Murphy, Nathan Pollesch, James R. Wheeler, Anže Županič, Stefan Scholz, 2019, pregledni znanstveni članek

Povzetek: An important goal in toxicology is the development of new ways to increase the speed, accuracy, and applicability of chemical hazard and risk assessment approaches. A promising route is the integration of in vitro assays with biological pathway information. We examined how the adverse outcome pathway (AOP) framework can be used to develop pathway-based quantitative models useful for regulatory chemical safety assessment. By using AOPs as initial conceptual models and the AOP knowledge base as a source of data on key event relationships, different methods can be applied to develop computational quantitative AOP models (qAOPs) relevant for decision making. A qAOP model may not necessarily have the same structure as the AOP it is based on. Useful AOP modeling methods range from statistical, Bayesian networks, regression, and ordinary differential equations to individual-based models and should be chosen according to the questions being asked and the data available. We discuss the need for toxicokinetic models to provide linkages between exposure and qAOPs, to extrapolate from in vitro to in vivo, and to extrapolate across species. Finally, we identify best practices for modeling and model building and the necessity for transparent and comprehensive documentation to gain confidence in the use of qAOP models and ultimately their use in regulatory applications. Environ Toxicol Chem 2019;38:1850–1865. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.
Ključne besede: Quantitative Adverse Outcome pathways, TKTD modelling, alternatives to animal testing, predictive toxicology, species extrapolation, prioritization of chemicals
Objavljeno v DiRROS: 06.08.2024; Ogledov: 69; Prenosov: 65
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2.
Photocatalytic material–microbe hybrids : applications in environmental remediations
Yadong Yu, Shanshan Wang, Jinrui Teng, Anže Županič, Shuxian Guo, Xiaobin Tang, Heng Liang, 2022, pregledni znanstveni članek

Povzetek: Environmental pollution has become one of the most urgent global issues that we have to face now. Searching new technologies to solve environmental issues is of great significance. By intimately coupling photocatalytic materials with microbes, the emerging photocatalytic material–microbe hybrid (PMH) system takes advantages of the high-efficiency, broad-spectrum light capture capability of the photocatalytic material and the selectivity of microbial enzymatic catalysis to efficiently convert solar energy into chemical energy. The PMH system is originally applied for the solar-to-chemical production. Interestingly, recent studies demonstrate that this system also has great potential in treating environmental contaminations. The photogenerated electrons produced by the PMH system can reductively decompose organic pollutants with oxidative nature (e.g., refractory azo dyes) under anaerobic circumstances. Moreover, based on the redox reactions occurring on the surface of photocatalysts and the enzymatic reactions in microbes, the PMH system can convert the valences of multiple heavy metal ions into less toxic or even nontoxic status simultaneously. In this review, we introduce the recent advances of using the PMH system in treating environmental pollutions and compare this system with another similar system, the traditional intimately coupled photocatalysis and biodegradation (ICPB) system. Finally, the current challenges and future directions in this field are discussed as well.
Ključne besede: nanoparticles, molibden, molecular toxicology, environmental remediation
Objavljeno v DiRROS: 05.08.2024; Ogledov: 95; Prenosov: 110
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3.
ELIXIR and toxicology : a community in development [version 2; peer review: 2 approved]
Marvin Martens, Rob Stierum, EL Schymanski, Chris T Evelo, Anže Županič, 2023, pregledni znanstveni članek

Povzetek: Toxicology has been an active research field for many decades, with academic, industrial and government involvement. Modern omics and computational approaches are changing the field, from merely disease-specific observational models into target-specific predictive models. Traditionally, toxicology has strong links with other fields such as biology, chemistry, pharmacology, and medicine. With the rise of synthetic and new engineered materials, alongside ongoing prioritisation needs in chemical risk assessment for existing chemicals, early predictive evaluations are becoming of utmost importance to both scientific and regulatory purposes. ELIXIR is an intergovernmental organisation that brings together life science resources from across Europe. To coordinate the linkage of various life science efforts around modern predictive toxicology, the establishment of a new ELIXIR Community is seen as instrumental. In the past few years, joint efforts, building on incidental overlap, have been piloted in the context of ELIXIR. For example, the EU-ToxRisk, diXa, HeCaToS, transQST, and the nanotoxicology community have worked with the ELIXIR TeSS, Bioschemas, and Compute Platforms and activities. In 2018, a core group of interested parties wrote a proposal, outlining a sketch of what this new ELIXIR Toxicology Community would look like. A recent workshop (held September 30th to October 1st, 2020) extended this into an ELIXIR Toxicology roadmap and a shortlist of limited investment-high gain collaborations to give body to this new community. This Whitepaper outlines the results of these efforts and defines our vision of the ELIXIR Toxicology Community and how it complements other ELIXIR activities.
Ključne besede: toxicology, ELIXIR, interoperability, FAIR
Objavljeno v DiRROS: 05.08.2024; Ogledov: 87; Prenosov: 76
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4.
Common gene expression patterns in environmental model organisms exposed to engineered nanomaterials : a meta-analysis
Michael Burkard, Alexander Betz, Kristin Schirmer, Anže Županič, 2020, izvirni znanstveni članek

Povzetek: The use of omics is gaining importance in the field of nanoecotoxicology; an increasing number of studies are aiming to investigate the effects and modes of action of engineered nanomaterials (ENMs) in this way. However, a systematic synthesis of the outcome of such studies regarding common responses and toxicity pathways is currently lacking. We developed an R-scripted computational pipeline to perform reanalysis and functional analysis of relevant transcriptomic data sets using a common approach, independent from the ENM type, and across different organisms, including Arabidopsis thaliana, Caenorhabditis elegans, and Danio rerio. Using the pipeline that can semiautomatically process data from different microarray technologies, we were able to determine the most common molecular mechanisms of nanotoxicity across extremely variable data sets. As expected, we found known mechanisms, such as interference with energy generation, oxidative stress, disruption of DNA synthesis, and activation of DNA-repair but also discovered that some less-described molecular responses to ENMs, such as DNA/RNA methylation, protein folding, and interference with neurological functions, are present across the different studies. Results were visualized in radar charts to assess toxicological response patterns allowing the comparison of different organisms and ENM types. This can be helpful to retrieve ENM-related hazard information and thus fill knowledge gaps in a comprehensive way in regard to the molecular underpinnings and mechanistic understanding of nanotoxicity.
Ključne besede: gene expression, nanomaterials
Objavljeno v DiRROS: 19.07.2024; Ogledov: 101; Prenosov: 120
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5.
Systems toxicology approach for assessing developmental neurotoxicity in Larval zebrafish
Roman Li, Marja Talikka, Vincenzo Belcastro, Colette vom Berg, Florian Martin, Manuel C. Peitsch, Julia Hoeng, Anže Županič, 2021, izvirni znanstveni članek

Povzetek: Adverse outcomes that result from chemical toxicity are rarely caused by dysregulation of individual proteins; rather, they are often caused by system-level perturbations in networks of molecular events. To fully understand the mechanisms of toxicity, it is necessary to recognize the interactions of molecules, pathways, and biological processes within these networks. The developing brain is a prime example of an extremely complex network, which makes developmental neurotoxicity one of the most challenging areas in toxicology. We have developed a systems toxicology method that uses a computable biological network to represent molecular interactions in the developing brain of zebrafish larvae. The network is curated from scientific literature and describes interactions between biological processes, signaling pathways, and adverse outcomes associated with neurotoxicity. This allows us to identify important signaling hubs, pathway interactions, and emergent adverse outcomes, providing a more complete understanding of neurotoxicity. Here, we describe the construction of a zebrafish developmental neurotoxicity network and its validation by integration with publicly available neurotoxicity-related transcriptomic datasets. Our network analysis identified consistent regulation of tumor suppressors p53 and retinoblastoma 1 (Rb1) as well as the oncogene Krüppel-like factor (Klf8) in response to chemically induced developmental neurotoxicity. The developed network can be used to interpret transcriptomic data in a neurotoxicological context.
Objavljeno v DiRROS: 19.07.2024; Ogledov: 124; Prenosov: 96
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6.
Evaluation of methods and processes for robust monitoring of SARS-CoV-2 in wastewater
Olivera Maksimović, Živa Lengar, Zala Kogej Zwitter, Katarina Bačnik, Irena Bajde, Mojca Milavec, Anže Županič, Nataša Mehle, Denis Kutnjak, Maja Ravnikar, Ion Gutiérrez-Aguirre, 2022, izvirni znanstveni članek

Povzetek: The SARS-CoV-2 pandemic has accelerated the development of virus concentration and molecular-based virus detection methods, monitoring systems and overall approach to epidemiology. Early into the pandemic, wastewater-based epidemiology started to be employed as a tool for tracking the virus transmission dynamics in a given area. The complexity of wastewater coupled with a lack of standardized methods led us to evaluate each step of the analysis individually and see which approach gave the most robust results for SARS-CoV-2 monitoring in wastewater. In this article, we present a step-by-step, retrospective view on the method development and implementation for the case of a pilot monitoring performed in Slovenia. We specifically address points regarding the thermal stability of the samples during storage, screening for the appropriate sample concentration and RNA extraction procedures and real-time PCR assay selection. Here, we show that the temperature and duration of the storage of the wastewater sample can have a varying impact on the detection depending on the structural form in which the SARS-CoV-2 target is present. We found that concentration and RNA extraction using Centricon filtration units coupled with Qiagen RNA extraction kit or direct RNA capture and extraction using semi-automated kit from Promega give the most optimal results out of the seven methods tested. Lastly, we confirm the use of N1 and N2 assays developed by the CDC (USA) as the best performing assays among four tested in combination with Fast Virus 1-mastermix. Data show a realistic overall process for method implementation as well as provide valuable information in regards to how different approaches in the analysis compare to one another under the specific conditions present in Slovenia during a pilot monitoring running from the beginning of the pandemic.
Ključne besede: waste water, method evolution, virus detection, SARS-CoV-2
Objavljeno v DiRROS: 17.07.2024; Ogledov: 124; Prenosov: 107
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7.
From causal networks to adverse outcome pathways : a developmental neurotoxicity case study
Živa Ramšak, Vid Modic, Roman A. Li, Colette vom Berg, Anže Županič, 2022, izvirni znanstveni članek

Povzetek: The last decade has seen the adverse outcome pathways (AOP) framework become one of the most powerful tools in chemical risk assessment, but the development of new AOPs remains a slow and manually intensive process. Here, we present a faster approach for AOP generation, based on manually curated causal toxicological networks. As a case study, we took a recently published zebrafish developmental neurotoxicity network, which contains causally connected molecular events leading to neuropathologies, and developed two new adverse outcome pathways: Inhibition of Fyna (Src family tyrosine kinase A) leading to increased mortality via decreased eye size (AOP 399 on AOP-Wiki) and GSK3beta (Glycogen synthase kinase 3 beta) inactivation leading to increased mortality via defects in developing inner ear (AOP 410). The approach consists of an automatic separation of the toxicological network into candidate AOPs, filtering the AOPs according to available evidence and length as well as manual development of new AOPs and weight-of-evidence evaluation. The semiautomatic approach described here provides a new opportunity for fast and straightforward AOP development based on large network resources.
Ključne besede: systems toxicology, adverse outcome pathway, casual network, toxicological network, neurotoxicity
Objavljeno v DiRROS: 16.07.2024; Ogledov: 136; Prenosov: 115
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8.
Stress knowledge map : a knowledge graph resource for systems biology analysis of plant stress responses
Carissa Bleker, Živa Ramšak, Andras Bittner, Vid Podpečan, Maja Zagorščak, Bernhard Wurzinger, Špela Baebler, Marko Petek, Maja Križnik, Anže Županič, Kristina Gruden, 2024, izvirni znanstveni članek

Povzetek: Stress Knowledge Map (SKM; https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical, signaling, and regulatory molecular interactions in plants: a highly curated model of plant stress signaling (PSS; 543 reactions) and a large comprehensive knowledge network (488 390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entry point for investigations of plant stress response and related growth trade-offs, as well as interactive explorations of current knowledge. PSS is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation and design of validation experiments, or to gain new insights into experimental observations in plant biology.
Ključne besede: Stress knowledge map, knowledge graph, knowledge network, entry point, plant digital twin, plant stress responses, plant signaling, systems biology
Objavljeno v DiRROS: 11.06.2024; Ogledov: 252; Prenosov: 130
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9.
Optimization of electrode position and electric pulse amplitude in electrochemotherapy
Anže Županič, Selma Čorović, Damijan Miklavčič, 2008, izvirni znanstveni članek

Povzetek: Background. In addition to the chemotherapeutic drug being present within the tumor during electric pulse delivery, successful electrochemotherapy requires the entire tumor volume to be subjected to a sufficiently high electric field,while the electric field in the surrounding healthy tissue is as low as possible to prevent damage. Both can be achieved with appropriate positioning of the electrodes and appropriate amplitude of electric pulses. Methods. We used 3D finite element numerical models and a genetic optimization algorithm to determine the optimum electrode configuration and optimum amplitude of electric pulses for treatment of three subcutaneous tumor models of different shapes and sizes and a realistic brain tumor model acquired from medical images. Results. In all four tumor cases, parallel needle electrode arrays were a better choice than hexagonal needle electrode arrays, since their utilization required less electric current and caused less healthy tissue damage. In addition, regardless of tumor geometry or needle electrode configuration, the optimum depth of electrode insertion was in all cases deeper than the deepest part of the tumor. Conclusions. Our optimization algorithm was able to determine the best electrode configuration in all four presented models and with further improvement it could be a useful tool in clinical electrochemotherapy treatment planning.
Objavljeno v DiRROS: 08.03.2024; Ogledov: 303; Prenosov: 85
.pdf Celotno besedilo (248,14 KB)

10.
Chloroplast redox state changes mark cell-to-cell signaling in the hypersensitive response
Tjaša Lukan, Anže Županič, Tjaša Mahkovec Povalej, Jacob O. Brunkard, Mirjam Kmetič, Mojca Juteršek, Špela Baebler, Kristina Gruden, 2023, izvirni znanstveni članek

Povzetek: Bisphenol A (BPA) is one of the most commonly used substances in the manufacture ofvarious everyday products. Growing concerns about its hazardous properties, including endocrinedisruption and genotoxicity, have led to its gradual replacement by presumably safer analogues inmanufacturing plastics. The widespread use of BPA and, more recently, its analogues has increasedtheir residues in the environment. However, our knowledge of their toxicological profiles is limitedand their combined effects are unknown. In the present study, we investigated the toxic effectscaused by single bisphenols and by the combined exposure of BPA and its two analogues, BPAP andBPC, after short (24-h) and prolonged (96-h) exposure in HepG2 spheroids. The results showed thatBPA did not reduce cell viability in HepG2 spheroids after 24-h exposure. In contrast, BPAP andBPC affected cell viability in HepG2 spheroids. Both binary mixtures (BPA/BPAP and BPA/BPC)decreased cell viability in a dose-dependent manner, but the significant difference was only observedfor the combination of BPA/BPC (both at 40μM). After 96-h exposure, none of the BPs studiedaffected cell viability in HepG2 spheroids. Only the combination of BPA/BPAP decreased cellviability in a dose-dependent manner that was significant for the combination of 4μM BPA and 4μMBPAP. None of the BPs and their binary mixtures studied affected the surface area and growth ofspheroids as measured by planimetry. In addition, all BPs and their binary mixtures studied triggeredoxidative stress, as measured by the production of reactive oxygen species and malondialdehyde,at both exposure times. Overall, the results suggest that it is important to study the effects of BPsas single compounds. It is even more important to study the effects of combined exposures, as thecombined effects may differ from those induced by single compounds.
Ključne besede: chloroplast redox state, hypersensitive response (HR)-conferred resistance, immune signaling, live cell imaging, Solanum tuberosum (potato), spatiotemporal analysis, stromules, virus resistance
Objavljeno v DiRROS: 13.04.2023; Ogledov: 619; Prenosov: 336
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