Network Analysis Reveals Similar Transcriptomic Responses to Intrinsic Properties of Carbon Nanomaterials in Vitro and in Vivo-Reference-Cited by-同舟云学术

Network Analysis Reveals Similar Transcriptomic Responses to Intrinsic Properties of Carbon Nanomaterials in Vitro and in Vivo

Published:2017-04-11 Issue:4 Volume:11 Page:3786-3796
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Kinaret Pia,Marwah Veer,Fortino Vittorio,Ilves Marit,Wolff Henrik¹,Ruokolainen Lasse,Auvinen Petri,Savolainen Kai¹,Alenius Harri²^ORCID,Greco Dario^ORCID

Affiliation:

1. Finnish Institute of Occupational Health, Helsinki, Finland 00251

2. Institute of Environmental Medicine (IMM), Karolinska Institutet, 171 77 Stockholm, Sweden

Funder

Ty?suojelurahasto

Terveyden Tutkimuksen Toimikunta

Suomen Akatemia

Helsingin Yliopisto

Seventh Framework Programme

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.6b08650

Reference50 articles.

1. Carbon nanotubes introduced into the abdominal cavity of mice show asbestos-like pathogenicity in a pilot study

2. Multi-walled carbon nanotube length as a critical determinant of bioreactivity with primary human pulmonary alveolar cells

3. Physicochemical characteristics of nanomaterials that affect pulmonary inflammation

4. Pulmonary toxicity of multi-walled carbon nanotubes (Baytubes®) relative to α-quartz following a single 6h inhalation exposure of rats and a 3 months post-exposure period

5. Cellular uptake of nanoparticles as determined by particle properties, experimental conditions, and cell type

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