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Metabolomic and Transcriptomic data - in vitro ependymoma +/- serum starvation

Publication Date
April 20, 2021
Creators
Description
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 me-tabolites/lipids and RNA from ependymoma cells (BXD-1425). Two existing single extraction and four dual extraction protocols were critically assessed based on their practical reproducibility, the suitability of the metabolite extraction protocol to human cancer cells and their RNA recovery. The effectiveness of the optimised method was verified by testing the sensitivity to a) discriminate both subtle and profound altera-tions in transcription and metabolism in an acute serum starvation period in a human ependymoma cell line; Coverage (Temporal): 2018-2020 Coverage (Spatial): Nottingham, UK Collection dates: 2018-2020
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DOI
Associate publ. DOI
Subjects (LCSH)

Brain -- Tumors

Subjects (MeSH)

Brain Neoplasms

Neoplasms -- metaboli...

Metabolomics

Subjects

Metabolomics, transcr...

Subjects (JACS)

Biological Sciences

Subjects (LC)

Q Science

Divisions
University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Medicine
Data type
Metabolomics (liquid-chromatography mass spectrometry-based) and transcriptomics (gene expression microarray-based)
Funders
Funders
Stoneygate Trust
Grant Number
CARO/SS/2016/CC1
Data collection method
Instruments
Legal and ethical issues
None (data generated from in vitro cell lines)
Resource languages
English
Publisher
The University of Nottingham
Date Issued
April 20, 2021
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Complete gene list copy (Autosaved).xlsx

Description
Experiment data readings
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5.37 MB

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Microsoft Excel XML

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f36051f1431c082ef466488c411c9841

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Serum starvation of BXD-1425 cells - metabolomics - normalised data and statistics.xlsx

Description
Experiment data readings
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6.22 MB

Format

Microsoft Excel XML

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076c8e4ad97bc4038a50fed7b681735f