Presenting metabolomics analyses: what’s in a number?

Johannes Meiser; Christian Frezza

doi:10.1038/s44318-024-00098-1

Presenting metabolomics analyses: what’s in a number?

Johannes Meiser^*, Christian Frezza^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

1 Citation (Scopus)

Abstract

Metabolism analysis is complex, accordingly representation and interpretation of metabolomics and fluxomics data is prone to pitfalls, which, if not considered, can lead to misinterpretations. The purpose of this short advice article is to raise awareness for these pitfalls and provide a guideline for biologists on how to best present metabolomics data.

Original language	English
Pages (from-to)	4444-4450
Number of pages	7
Journal	EMBO Journal
Volume	43
Issue number	20
DOIs	https://doi.org/10.1038/s44318-024-00098-1
Publication status	Published - Oct 2024

Keywords

Metabolomics/methods
Humans

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10.1038/s44318-024-00098-1Licence: CC BY

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title = "Presenting metabolomics analyses: what{\textquoteright}s in a number?",

abstract = "Metabolism analysis is complex, accordingly representation and interpretation of metabolomics and fluxomics data is prone to pitfalls, which, if not considered, can lead to misinterpretations. The purpose of this short advice article is to raise awareness for these pitfalls and provide a guideline for biologists on how to best present metabolomics data.",

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author = "Johannes Meiser and Christian Frezza",

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year = "2024",

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doi = "10.1038/s44318-024-00098-1",

language = "English",

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T2 - what’s in a number?

AU - Meiser, Johannes

AU - Frezza, Christian

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/10

Y1 - 2024/10

N2 - Metabolism analysis is complex, accordingly representation and interpretation of metabolomics and fluxomics data is prone to pitfalls, which, if not considered, can lead to misinterpretations. The purpose of this short advice article is to raise awareness for these pitfalls and provide a guideline for biologists on how to best present metabolomics data.

AB - Metabolism analysis is complex, accordingly representation and interpretation of metabolomics and fluxomics data is prone to pitfalls, which, if not considered, can lead to misinterpretations. The purpose of this short advice article is to raise awareness for these pitfalls and provide a guideline for biologists on how to best present metabolomics data.

KW - Metabolomics/methods

KW - Humans

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UR - https://pubmed.ncbi.nlm.nih.gov/38664540

U2 - 10.1038/s44318-024-00098-1

DO - 10.1038/s44318-024-00098-1

M3 - Comment/debate

C2 - 38664540

AN - SCOPUS:85191355689

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SP - 4444

EP - 4450

JO - EMBO Journal

JF - EMBO Journal

IS - 20

ER -

Presenting metabolomics analyses: what’s in a number?

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