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方法、模型、机制与元数据:F1000Research 旗下《纳米毒理学》专辑介绍

Methods, models, mechanisms and metadata: Introducing the Nanotoxicology collection at F1000Research.

机构信息

School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.

Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17 177, Sweden.

出版信息

F1000Res. 2021 Nov 24;10:1196. doi: 10.12688/f1000research.75113.1. eCollection 2021.


DOI:10.12688/f1000research.75113.1
PMID:34853679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8613506/
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 . 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 nanotoxicology and nanoinformatics. Submissions will be assessed for fit to the collection and subjected to the F1000Research open peer review process.

摘要

纳米毒理学是一个相对较新的研究领域,涉及纳米材料的研究和应用,以评估潜在的有害影响,同时发展应用。纳米毒理学作为一个领域,涵盖了材料的合成和特性、命运和行为的评估、暴露科学、毒理学/生态毒理学、分子生物学和毒代基因组学、流行病学、安全和可持续的设计方法,以及化学信息学和纳米信息学,因此需要科学家们进行协作,通常是在他们的核心专业领域之外。这种跨学科性可能会在解释和报告方面带来挑战,并呼吁建立一个纳米毒理学研究最佳实践共享平台。通过本社论介绍的 F1000Research 纳米毒理学集将提供一个分享积累最佳实践的场所,通过包括无效应研究、方案和方法论文、软件报告和实时系统综述在内的原创研究报告,随着新知识的出现或方法、模型或软件的适用范围的扩大,可以对其进行更新。本社论介绍了. 该集的目的是为纳米毒理学研究人员提供一个开放获取的平台,以支持数据共享和不断发展的方案、生物和计算模型、软件工具和数据集的记录文化,这些方案、模型、软件工具和数据集可以应用和建立,以开发预测模型,并朝着纳米毒理学和纳米信息学迈进。提交的内容将根据该集的要求进行评估,并接受 F1000Research 的开放同行评审程序。

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Towards FAIR nanosafety data.

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[4]
Non-Animal Strategies for Toxicity Assessment of Nanoscale Materials: Role of Adverse Outcome Pathways in the Selection of Endpoints.

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[5]
A methodology for developing key events to advance nanomaterial-relevant adverse outcome pathways to inform risk assessment.

Nanotoxicology. 2021-4

[6]
A Semi-Automated Workflow for FAIR Maturity Indicators in the Life Sciences.

Nanomaterials (Basel). 2020-10-20

[7]
Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data.

Nanomaterials (Basel). 2020-10-15

[8]
Predicting Cytotoxicity of Metal Oxide Nanoparticles using Isalos Analytics Platform.

Nanomaterials (Basel). 2020-10-13

[9]
Effect of the Albumin Corona on the Toxicity of Combined Graphene Oxide and Cadmium to and Integration of the Datasets into the NanoCommons Knowledge Base.

Nanomaterials (Basel). 2020-9-29

[10]
Interference: A Much-Neglected Aspect in High-Throughput Screening of Nanoparticles.

Int J Toxicol. 2020

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