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Untargeted metabolomic changes in Chlamydomonas reinhardtii treated with lipid inducing small molecules

ABSTRACT: A study to investigate the effect of small molecule lipid inducing compounds that leads to hyper accumulation of lipids in N replete cells of Chlamydomonas reinhardtii. These compounds were identified through a high throughput screening designed for that purpose. During that screening, we screened 43,783 compounds and identified 367 primary hits. These 367 hits were further retested using a 8-point dilution series (from 0.25 to 30 uM) and verified the activity of 250 compounds that induce the hyper lipid accumulating phenotype in algae. Once the hit compounds were identified and confirmed, we then performed extensive chemoinformatics analysis to look for common scaffolds and identified several common substructures. We then selected 15 top performing compounds from 5 diverse structural groups and tested biochemical parameters such as growth, lipid accumulating capacity, effect on photosynthetic rates, respiration rates, oxygen consumption rates, analysis of different lipid species to quantify and identify fatty acid species using GC-MS. To understand the global changes in the metabolome, 2 structurally different compounds were selected and compared with cells grown without compounds as control for untargeted metabolomics analysis.

ORGANISM(S): Chlamydomonas Reinhardtii

TISSUE(S): Photosynthetic Organism

SUBMITTER: Nishikant Wase

PROVIDER: ST000621 | MetabolomicsWorkbench | Fri Jun 16 00:00:00 BST 2017

REPOSITORIES: MetabolomicsWorkbench

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Project description:The obesogen hypothesis states that exposure to environmental compounds early in life or throughout lifetime might have an influence on obesity development. In this paper a new approach for obesogen screening is proposed, namely the use of transcriptomics in the 3T3-L1 pre-adipocyte cell line. Based on the data from a previous study of our group using a lipid accumulation based adipocyte differentiation assay, several humanly relevant obesogenic compounds were selected: reference obesogens [Rosiglitazone (ROSI), Tributyltin (TBT)], test obesogens [Butylbenzyl phthalate (BBP), butylparaben (BP), propylparaben (PP), Bisphenol A (BPA)] and non-obesogens [Ethylene Brassylate (EB), Bis (2-ethylhexyl)phthalate (DEHP)]. In this paper, the high stability and reproducibility of the 3T3-L1 gene transcription patterns over different experiments and cell batches was shown. Obesogens and non-obesogen gene transcription profiles were clearly distinguished using hierarchical clustering. Furthermore, a gradual distinction corresponding to differences in induction of lipid accumulation could be made between test and reference obesogens based on transcription patterns, indicating the potential use of this strategy for classification of obesogens. Marker genes that are able to distinguish between non, test and reference obesogens were identified. Well known genes involved in adipocyte differentiation, as well as genes with unknown functions were selected, implying a potential adipocyte related function of the latter. Cell physiological lipid accumulation was well predicted based on transcription levels of the marker genes, indicating the biological relevance of omics data. In conclusion, this study shows the high relevance and reproducibility of this 3T3-L1 based in vitro toxicogenomics tool for classification of obesogens and biomarker discovery. The hybridization design was a reference design (reference sample was a mixture of equal aliquots from control and exposed samples), recommended for class discovery purposes (Knapen et al. 2009). The reference sample was labeled with Cy5, and the exposed samples with Cy3. Three biological replicates were measured for every condition.

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Untargeted metabolomic changes in Chlamydomonas reinhardtii treated with lipid inducing small molecules

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