Evidence map›Paper›PMID 35282636›Full record

ArticleChemical science2022

Dynamic metabolic change of cancer cells induced by natural killer cells at the single-cell level studied by label-free mass cytometry.

Zizheng Shen, Hansen Zhao, Huan Yao, Xingyu Pan, Jinlei Yang, Sichun Zhang, Guojun Han, Xinrong Zhang

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 35 citations in OpenAlex.

  1. Living single-cell metabolomicsChemical science · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
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 at 2 institutions in 1 country.

Zizheng ShenDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.
Hansen ZhaoDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.
Huan YaoDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.
Xingyu PanDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.
Jinlei YangDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.
Sichun ZhangDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.ORCID https://orcid.org/0000-0003-3439-8523
Guojun HanInstitute of Medical Technology, Peking University Health Science Center Beijing 100191 China gjhan@bjmu.edu.cn.
Xinrong ZhangDepartment of Chemistry, Tsinghua University Beijing 100084 China sczhang@mail.tsinghua.edu.cn.ORCID https://orcid.org/0000-0002-3174-303X
Tsinghua University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer cells (NK cells) are important immune cells which have attracted increasing attention in cancer immunotherapy. Due to the heterogeneity of cells, individual cancer cells show different resistance to NK cytotoxicity, which has been revealed by flow cytometry. Here we used label-free mass cytometry (CyESI-MS) as a new tool to analyze the metabolites in Human Hepatocellular Carcinoma (HepG2) cells at the single-cell level after the interaction with different numbers of NK92 MI cells. A large amount of chemical information from individual HepG2 cells was obtained showing the process of cell apoptosis induced by NK cells. Nineteen metabolites which consecutively change during cell apoptosis were revealed by calculating their average relative intensity. Four metabolic pathways were impacted during cell apoptosis which hit 4 metabolites including glutathione (GSH), creatine, glutamic acid and taurine. We found that the HepG2 cells could be divided into two phenotypes after co-culturing with NK cells according to the bimodal distribution of concentration of these 4 metabolites. The correlation between metabolites and different apoptotic pathways in the early apoptosis cell group was established by the 4 metabolites at the single-cell level. This is a new idea of using single-cell specific metabolites to reveal the metabolic heterogeneity in cell apoptosis which would be a powerful means for evaluating the cytotoxicity of NK cells.

Identifiers

PMID35282636
PMCPMC8827047
OpenAlexW4205572007

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Registered trials

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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.