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Lynch I, Nymark P, Doganis P, Gulumian M, Yoon TH, Martinez DST, Afantitis A. Methods, models, mechanisms and metadata: Introducing the Nanotoxicology collection at F1000Research. F1000Res 2021; 10:1196. [PMID: 34853679 PMCID: PMC8613506 DOI: 10.12688/f1000research.75113.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 11/28/2022] Open
Abstract
Nanotoxicology is a relatively new field of research concerning the study and application of nanomaterials to evaluate the potential for harmful effects in parallel with the development of applications. Nanotoxicology as a field spans materials synthesis and characterisation, assessment of fate and behaviour, exposure science, toxicology / ecotoxicology, molecular biology and toxicogenomics, epidemiology, safe and sustainable by design approaches, and chemoinformatics and nanoinformatics, thus requiring scientists to work collaboratively, often outside their core expertise area. This interdisciplinarity can lead to challenges in terms of interpretation and reporting, and calls for a platform for sharing of best-practice in nanotoxicology research. The F1000Research Nanotoxicology collection, introduced via this editorial, will provide a place to share accumulated best practice, via original research reports including no-effects studies, protocols and methods papers, software reports and living systematic reviews, which can be updated as new knowledge emerges or as the domain of applicability of the method, model or software is expanded. This editorial introduces the Nanotoxicology Collection in
F1000Research. The aim of the collection is to provide an open access platform for nanotoxicology researchers, to support an improved culture of
data sharing and documentation of evolving protocols, biological and computational models, software tools and datasets, that can be applied and built upon to develop predictive models and move towards
in silico nanotoxicology and nanoinformatics. Submissions will be assessed for fit to the collection and subjected to the F1000Research open peer review process.
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Affiliation(s)
- Iseult Lynch
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
| | - Penny Nymark
- Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17 177, Sweden
| | - Philip Doganis
- School of Chemical Engineering, National Technical University of Athens, Athens, 10682, Greece
| | - Mary Gulumian
- National Health Laboratory Services, 1 Modderfontein Rd, Sandringham, Johannesburg, 2192, South Africa.,Haematology and Molecular Medicine, University of the Witwatersrand, 1 Jan Smuts Ave, Johannesburg, 2000, South Africa.,Water Research Group, Unit for Environmental Sciences and Management Potchefstroom, North West University, Potchefstroom, South Africa
| | - Tae-Hyun Yoon
- Department of Chemistry, College of Natural Sciences, Hanyang University, Seoul, 04763, South Korea.,Institute of Next Generation Material Design, Hanyang University, Seoul, 04763, South Korea
| | - Diego S T Martinez
- Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas,, Sao Paulo, CEP 13083-970, Brazil
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