Evidence map›Paper›PMID 36428976›Full record

ArticleCells2022

Exploring Dynamic Metabolome of the HepG2 Cell Line: Rise and Fall.

Olga I Kiseleva, Ilya Yu Kurbatov, Viktoriia A Arzumanian, Ekaterina V Ilgisonis, Igor V Vakhrushev, Alexey Yu Lupatov, Elena A Ponomarenko, Ekaterina V Poverennaya

Abstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Comparative Transcriptomic Analysis of Three Common Liver Cell Lines.International journal of molecular sciences · 2023
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Olga I KiselevaInstitute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0003-3032-1983
Ilya Yu KurbatovInstitute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-3704-0992
Viktoriia A ArzumanianInstitute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0002-3658-2490
Ekaterina V IlgisonisInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Igor V VakhrushevInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Alexey Yu LupatovInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Elena A PonomarenkoInstitute of Biomedical Chemistry, 119121 Moscow, Russia.
Ekaterina V PoverennayaInstitute of Biomedical Chemistry, 119121 Moscow, Russia.ORCID 0000-0003-1838-3604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both biological and technical variations can discredit the reliability of obtained data in omics studies. In this technical note, we investigated the effect of prolonged cultivation of the HepG2 hepatoma cell line on its metabolomic profile. Using the GC × GC-MS approach, we determined the degree of metabolic variability across HepG2 cells cultured in uniform conditions for 0, 5, 10, 15, and 20 days. Post-processing of obtained data revealed substantial changes in relative abundances of 110 metabolites among HepG2 samples under investigation. Our findings have implications for interpreting metabolomic results obtained from immortal cells, especially in longitudinal studies. There are still plenty of unanswered questions regarding metabolomics variability and many potential areas for future targeted and panoramic research. However, we suggest that the metabolome of cell lines is unstable and may undergo significant transformation over time, even if the culture conditions remain the same. Considering metabolomics variability on a relatively long-term basis, careful experimentation with particular attention to control samples is required to ensure reproducibility and relevance of the research results when testing both fundamentally and practically significant hypotheses.

Indexed as

MetabolomeMetabolomicsGas Chromatography-Mass SpectrometryHep G2 CellsHumansReproducibility of ResultsGC × GC-MSHepG2 cell linemetabolomepassage numberprolonged monitoring

Identifiers

PMID36428976
PMCPMC9688728

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.