Metabolomics,Multiomics

Dataset Information

0

Multi-hierarchical profiling the structure-activity relationships of engineered nanomaterials at nano-bio interfaces


ABSTRACT: Increasing concerns over the possible risks of nanotechnology necessitates breakthroughs in structure-activity relationship (SAR) analyses of engineered nanomaterials (ENMs) at nano-bio interfaces. However, current nano-SARs are often based on univariate assessments and fail to provide tiered views on ENM-induced bio-effects. Here we report a multi-hierarchical nano-SAR assessment for a representative ENM, Fe2O3, by metabolomics and proteomics analyses. The established nano-SAR profile allows the visualizing of the contributions of seven basic properties of Fe2O3 to its diverse bio-effects. For instance, although surface reactivity is responsible for Fe2O3-induced cell migration, the inflammatory effects of Fe2O3 are determined by aspect ratio (nanorods) or surface reactivity (nanoplates). These nano-SARs are examined in THP-1 cells and animal lungs, which allow us to decipher the detailed mechanisms including NLRP3 inflammasome pathway and monocyte chemoattractant protein-1-dependent signaling. This study provides more insights for nano-SARs, and may facilitate the tailored design of ENMs to render them desired bio-effects.

OTHER RELATED OMICS DATASETS IN: PXD010614

INSTRUMENT(S): Liquid Chromatography MS - Alternating (LC-MS (Alt))

SUBMITTER: Xiaoming Cai 

PROVIDER: MTBLS721 | MetaboLights | 2020-01-23

REPOSITORIES: MetaboLights

altmetric image

Publications

Multi-hierarchical profiling the structure-activity relationships of engineered nanomaterials at nano-bio interfaces.

Cai Xiaoming X   Dong Jun J   Liu Jing J   Zheng Huizhen H   Kaweeteerawat Chitrada C   Wang Fangjun F   Ji Zhaoxia Z   Li Ruibin R  

Nature communications 20181024 1


Increasing concerns over the possible risks of nanotechnology necessitates breakthroughs in structure-activity relationship (SAR) analyses of engineered nanomaterials (ENMs) at nano-bio interfaces. However, current nano-SARs are often based on univariate assessments and fail to provide tiered views on ENM-induced bio-effects. Here we report a multi-hierarchical nano-SAR assessment for a representative ENM, Fe<sub>2</sub>O<sub>3</sub>, by metabolomics and proteomics analyses. The established nano  ...[more]

Similar Datasets

2019-11-12 | PXD010614 | Pride
2018-09-20 | E-MTAB-7177 | biostudies-arrayexpress
2023-01-20 | GSE222935 | GEO
2022-08-12 | GSE207745 | GEO
2021-02-11 | PXD024170 | iProX
2022-06-30 | GSE174382 | GEO
2014-10-01 | E-GEOD-56432 | biostudies-arrayexpress
2021-10-23 | GSE186360 | GEO
2020-02-24 | PXD017429 | Pride
2014-10-01 | GSE56432 | GEO