MetaboAnalyst

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Dose-response analysis was developed by the field of toxicology to identify the concentration at which a biological assay responds to chemical exposure. Dose-response experimental designs typically include a control group (dose = 0) and at least three different dose groups, typically with the same number of replicates in each group. To perform dose-response analysis using metabolomics data, three basic steps are involved:

Identify potential features of interest showing a relationship with dose;
Perform dose-response curve fitting against a suite of linear and non-linear models;
Determine the concentration at which the fitted curve departs from the values in the control group (i.e. benchmark dose or BMD).

Please refer to Thomas et al, 2013 and Yao et al, 2020 for more background information.

Data Type:	Concentrations Spectral bins Peak intensities
Group Label:	Categorical (Classification) Continuous (Regression)
Format:
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Metadata (Optional):	Choose

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Data

Description

Discrete

An example data to study dose-response effect using metabolomics. BT549 breast cancer cells were treated with etomoxir discrete concentrations that spanned 10-200 μM Doses: 0, 10, 50, and 200 uM with three replicates at each dose (details).

E-waste Metadata

An exposomics example data to study dose-response effect of exposome with heavy metals in e-waste workers. The dataset was generated with UPLC-Q/Exactive (C18 ESI^-). The heavy metal (Lanthanum) is considered as a continuous exposure dose.(details).