Cargando…

The Expectation and Reality of the HepG2 Core Metabolic Profile

To represent the composition of small molecules circulating in HepG2 cells and the formation of the “core” of characteristic metabolites that often attract researchers’ attention, we conducted a meta-analysis of 56 datasets obtained through metabolomic profiling via mass spectrometry and NMR. We hig...

Descripción completa

Detalles Bibliográficos
Autores principales: Kiseleva, Olga I., Kurbatov, Ilya Y., Arzumanian, Viktoriia A., Ilgisonis, Ekaterina V., Zakharov, Svyatoslav V., Poverennaya, Ekaterina V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456947/
https://www.ncbi.nlm.nih.gov/pubmed/37623852
http://dx.doi.org/10.3390/metabo13080908
_version_ 1785096821746434048
author Kiseleva, Olga I.
Kurbatov, Ilya Y.
Arzumanian, Viktoriia A.
Ilgisonis, Ekaterina V.
Zakharov, Svyatoslav V.
Poverennaya, Ekaterina V.
author_facet Kiseleva, Olga I.
Kurbatov, Ilya Y.
Arzumanian, Viktoriia A.
Ilgisonis, Ekaterina V.
Zakharov, Svyatoslav V.
Poverennaya, Ekaterina V.
author_sort Kiseleva, Olga I.
collection PubMed
description To represent the composition of small molecules circulating in HepG2 cells and the formation of the “core” of characteristic metabolites that often attract researchers’ attention, we conducted a meta-analysis of 56 datasets obtained through metabolomic profiling via mass spectrometry and NMR. We highlighted the 288 most commonly studied compounds of diverse chemical nature and analyzed metabolic processes involving these small molecules. Building a complete map of the metabolome of a cell, which encompasses the diversity of possible impacts on it, is a severe challenge for the scientific community, which is faced not only with natural limitations of experimental technologies, but also with the absence of transparent and widely accepted standards for processing and presenting the obtained metabolomic data. Formulating our research design, we aimed to reveal metabolites crucial to the Hepg2 cell line, regardless of all chemical and/or physical impact factors. Unfortunately, the existing paradigm of data policy leads to a streetlight effect. When analyzing and reporting only target metabolites of interest, the community ignores the changes in the metabolomic landscape that hide many molecular secrets.
format Online
Article
Text
id pubmed-10456947
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104569472023-08-26 The Expectation and Reality of the HepG2 Core Metabolic Profile Kiseleva, Olga I. Kurbatov, Ilya Y. Arzumanian, Viktoriia A. Ilgisonis, Ekaterina V. Zakharov, Svyatoslav V. Poverennaya, Ekaterina V. Metabolites Review To represent the composition of small molecules circulating in HepG2 cells and the formation of the “core” of characteristic metabolites that often attract researchers’ attention, we conducted a meta-analysis of 56 datasets obtained through metabolomic profiling via mass spectrometry and NMR. We highlighted the 288 most commonly studied compounds of diverse chemical nature and analyzed metabolic processes involving these small molecules. Building a complete map of the metabolome of a cell, which encompasses the diversity of possible impacts on it, is a severe challenge for the scientific community, which is faced not only with natural limitations of experimental technologies, but also with the absence of transparent and widely accepted standards for processing and presenting the obtained metabolomic data. Formulating our research design, we aimed to reveal metabolites crucial to the Hepg2 cell line, regardless of all chemical and/or physical impact factors. Unfortunately, the existing paradigm of data policy leads to a streetlight effect. When analyzing and reporting only target metabolites of interest, the community ignores the changes in the metabolomic landscape that hide many molecular secrets. MDPI 2023-08-03 /pmc/articles/PMC10456947/ /pubmed/37623852 http://dx.doi.org/10.3390/metabo13080908 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kiseleva, Olga I.
Kurbatov, Ilya Y.
Arzumanian, Viktoriia A.
Ilgisonis, Ekaterina V.
Zakharov, Svyatoslav V.
Poverennaya, Ekaterina V.
The Expectation and Reality of the HepG2 Core Metabolic Profile
title The Expectation and Reality of the HepG2 Core Metabolic Profile
title_full The Expectation and Reality of the HepG2 Core Metabolic Profile
title_fullStr The Expectation and Reality of the HepG2 Core Metabolic Profile
title_full_unstemmed The Expectation and Reality of the HepG2 Core Metabolic Profile
title_short The Expectation and Reality of the HepG2 Core Metabolic Profile
title_sort expectation and reality of the hepg2 core metabolic profile
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456947/
https://www.ncbi.nlm.nih.gov/pubmed/37623852
http://dx.doi.org/10.3390/metabo13080908
work_keys_str_mv AT kiselevaolgai theexpectationandrealityofthehepg2coremetabolicprofile
AT kurbatovilyay theexpectationandrealityofthehepg2coremetabolicprofile
AT arzumanianviktoriiaa theexpectationandrealityofthehepg2coremetabolicprofile
AT ilgisonisekaterinav theexpectationandrealityofthehepg2coremetabolicprofile
AT zakharovsvyatoslavv theexpectationandrealityofthehepg2coremetabolicprofile
AT poverennayaekaterinav theexpectationandrealityofthehepg2coremetabolicprofile
AT kiselevaolgai expectationandrealityofthehepg2coremetabolicprofile
AT kurbatovilyay expectationandrealityofthehepg2coremetabolicprofile
AT arzumanianviktoriiaa expectationandrealityofthehepg2coremetabolicprofile
AT ilgisonisekaterinav expectationandrealityofthehepg2coremetabolicprofile
AT zakharovsvyatoslavv expectationandrealityofthehepg2coremetabolicprofile
AT poverennayaekaterinav expectationandrealityofthehepg2coremetabolicprofile