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

RNA cancer dual-extraction integrated omics metabolite

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
14 Apr 2021
Historique:
received: 12 02 2021
revised: 12 04 2021
accepted: 12 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33919944
pii: metabo11040240
doi: 10.3390/metabo11040240
pmc: PMC8070957
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/E022758/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/I001271/1
Pays : United Kingdom
Organisme : Stoneygate Trust
ID : CARO/SS/2016/CC1

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Auteurs

Alison Woodward (A)

Children's Brain Tumour Research Centre, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK.

Alina Pandele (A)

Children's Brain Tumour Research Centre, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK.

Salah Abdelrazig (S)

Centre for Analytical Bioscience, Advanced Materials and Healthcare Division, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.

Catherine A Ortori (CA)

Centre for Analytical Bioscience, Advanced Materials and Healthcare Division, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.

Iqbal Khan (I)

National Arabidopsis Stock Centre, Plant and Crop Sciences, School of Biosciences, University of Nottingham, Nottingham NG7 2RD, UK.

Marcos Castellanos Uribe (MC)

National Arabidopsis Stock Centre, Plant and Crop Sciences, School of Biosciences, University of Nottingham, Nottingham NG7 2RD, UK.

Sean May (S)

National Arabidopsis Stock Centre, Plant and Crop Sciences, School of Biosciences, University of Nottingham, Nottingham NG7 2RD, UK.

David A Barrett (DA)

Centre for Analytical Bioscience, Advanced Materials and Healthcare Division, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.

Richard G Grundy (RG)

Children's Brain Tumour Research Centre, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK.

Dong-Hyun Kim (DH)

Centre for Analytical Bioscience, Advanced Materials and Healthcare Division, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.

Ruman Rahman (R)

Children's Brain Tumour Research Centre, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK.

Classifications MeSH