Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues

Rahman, Ruman; Woodward, Alison; Pandele, Alina; Abdelrazig, Salah; Ortori, Catherine; Khan, Iqbal; Castellanos-Uribe, Marcos; May, Sean; Barrett, David; Grundy, Richard; Kim, Dong-Hyun

Abstract

The integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simultaneous extraction method of metabolites/lipids and RNA from ependymoma cells (BXD-1425). Relative to established RNA (mirVana kit) or metabolite (sequential solvent addition and shaking) single extraction methods, four dual-extraction techniques were evaluated and compared (methanol:water:chloroform ratios): cryomill/mirVana (1:1:2); cryomill-wash/Econospin (5:1:2); rotation/phenol-chloroform (9:10:1); Sequential/mirVana (1:1:3). All methods extracted the same metabolites, yet rotation/phenol-chloroform did not extract lipids. Cryomill/mirVana and sequential/mirVana recovered the highest amounts of RNA, at 70 and 68% of that recovered with mirVana kit alone. sequential/mirVana, involving RNA extraction from the interphase of our established sequential solvent addition and shaking metabolomics-lipidomics extraction method, was the most efficient approach overall. Sequential/mirVana was applied to study a) the biological effect caused by acute serum starvation in BXD-1425 cells and b) primary ependymoma tumour tissue. We found (a) 64 differentially abundant metabolites and 28 differentially expressed metabolic genes, discovering four gene-metabolite interactions, and (b) all metabolites and 62% lipids were above the limit of detection, and RNA yield was sufficient for transcriptomics, in just 10 mg of tissue.

Citation

Rahman, R., Woodward, A., Pandele, A., Abdelrazig, S., Ortori, C., Khan, I., …Kim, D.-H. (2021). Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues. Metabolites, 11(4), Article 240. https://doi.org/10.3390/metabo11040240

• Journal Article Type: Article
• Acceptance Date: Apr 12, 2021
• Online Publication Date: Apr 14, 2021
• Publication Date: 2021-04
• Deposit Date: Apr 13, 2021
• Publicly Available Date: Apr 20, 2021
• Journal: Metabolites
• Electronic ISSN: 2218-1989
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Issue: 4
• Article Number: 240
• DOI: https://doi.org/10.3390/metabo11040240
• Keywords: Biochemistry; Molecular Biology; Endocrinology, Diabetes and Metabolism
• Public URL: https://nottingham-repository.worktribe.com/output/5461719
• Publisher URL: https://www.mdpi.com/2218-1989/11/4/240