Dataset Information

Structure-Activity Relationships of ENMs

ABSTRACT: Current nano-SARs are often based on univariate assessments and fail to provide tiered views on ENM-induced bio-effects. Here we pioneered a multi-hierarchical nano-SAR assessment for a representative ENM, Fe2O3, by metabolomics and proteomics analyses. The established nano-SAR profile allows visualizing the contributions of 7 basic properties of Fe2O3 to its diverse bio-effects. For instance, while 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 were examined in THP-1 cells and animal lungs, which allowed us to decipher the detailed mechanisms including NLRP3 inflammasome pathway and monocyte chemoattractant protein-1 dependent signaling. This study provides new insights for nano-SARs, which may facilitate the tailored design of ENMs to endow them with desired bio-effects.

OTHER RELATED OMICS DATASETS IN: MTBLS721

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Monocyte, Cell Culture

SUBMITTER: Xiaoming Cai

LAB HEAD: Xiaoming cai

PROVIDER: PXD010614 | Pride | 2019-11-12

REPOSITORIES: Pride

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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]

PMID: 30356046

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Project description:We investigated the relationships of the two immune-regulatory plant metabolites salicylic acid (SA) and pipecolic acid (Pip) in the establishment of plant systemic acquired resistance (SAR) in Arabidopsis thaliana induced by the bacterial pathogen Pseudomonas syringae. To characterize the transcriptional SAR response, we used wild-type Col-0 plants, SA-deficient sid2 plants and Pip-deficient ald1 plants and performed RNA-sequencing analyses (Bernsdorff et al., Plant Cell, 2016). SAR establishment in the wild-type is characterized by a strong transcriptional response systemically induced in the foliage that prepares plants for future pathogen attack by pre-activating multiple stages of defense signaling. Whereas systemic Pip elevations are indispensable for SAR and necessary for virtually the whole transcriptional SAR response, a moderate but significant SA-independent component of SAR activation and SAR gene expression is revealed. Arabidopsis thaliana plants were grown individually in pots containing a mixture of soil, vermiculite and sand (8:1:1) in a controlled cultivation chamber with a 10-h day (9 AM to 7 PM; photon flux density 100 mol m-2 s-1) / 14-h night cycle and a relative humidity of 70 %. Day and night temperatures were set to 21C and 18C, respectively. Experiments were performed with 5- to 6-week-old, naive plants exhibiting a uniform appearance. To activate SAR, plants were infiltrated between 10 AM and 12 AM into three lower (1) leaves with suspensions of the bacterial pathogen Pseudomonas syringae pv. maculicola (OD600 = 0.005). Infiltration with 10 mM MgCl2 served as the mock-control treatment. Upper (2) leaves were harvested 48 h after the primary treatment for the determination of systemic gene expression by RNA-seq analyses. Three biologically independent, replicate SAR induction experiments were performed with Col-0 and sid2 plants (experimental set 1), and three other biologically independent experiments with Col-0 and ald1 plants (experimental set 2). In each SAR experiment, at least 6 upper (2) leaves from 6 different plants pre-treated in 1 leaves with Psm (MgCl2) were pooled for one biological Psm- (mock-control) replicate. In this way, 3 biologically independent, replicate samples per treatment and plant genotype were obtained within each SAR set.

Dataset Information

Structure-Activity Relationships of ENMs

Publications

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

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