Evidence map›Paper›PMID 35626714›Full record

ArticleCells2022

Generation of HepG2 Cells with High Expression of Multiple Drug-Metabolizing Enzymes for Drug Discovery Research Using a PITCh System.

Ryosuke Negoro, Mitsuki Tasaka, Sayaka Deguchi, Kazuo Takayama, Takuya Fujita

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Development of a DNA damage assay system using stable human hepatocytes.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors at 2 institutions in 1 country.

Ryosuke NegoroLaboratory of Molecular Pharmacokinetics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu 525-8577, Japan.ORCID 0000-0002-6567-575X
Mitsuki TasakaLaboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu 525-8577, Japan.
Sayaka DeguchiCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
Kazuo TakayamaCenter for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-1132-2457
Takuya FujitaLaboratory of Molecular Pharmacokinetics, College of Pharmaceutical Sciences, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu 525-8577, Japan.ORCID 0000-0002-7724-6522
Ritsumeikan University · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HepG2 cells are an inexpensive hepatocyte model that can be used for repeated experiments, but HepG2 cells do not express major cytochrome P450s (CYPs) and UDP glucuronosyltransferase family 1 member A1 (UGT1A1). In this study, we established CYP3A4-POR-UGT1A1-CYP1A2-CYP2C19-CYP2C9-CYP2D6 (CYPs-UGT1A1) knock-in (KI)-HepG2 cells using a PITCh system to evaluate whether they could be a new hepatocyte model for pharmaceutical studies. To evaluate whether CYPs-UGT1A1 KI-HepG2 cells express and function with CYPs and UGT1A1, gene expression levels of

Indexed as

Cytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemDrug DiscoveryHepatocytesHep G2 CellsHumansCytochrome P-450 CYP3ACytochrome P-450 Enzyme SystemCRISPR-Cas9CYP1A2CYP2C19CYP2C9CYP2D6CYP3A4drug-metabolizing enzymegenome editingHepG2 cellPITCh systemPORprimary human hepatocytesUGT1A1

Identifiers

PMID35626714
PMCPMC9140068
OpenAlexW4280595994

What OpenQuestion 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 OpenQuestion graph.