Evidence map›Paper›PMID 35919431›Full record

ArticleChemical science2022

Intact living-cell electrolaunching ionization mass spectrometry for single-cell metabolomics.

Yunlong Shao, Yingyan Zhou, Yuanxing Liu, Wenmei Zhang, Guizhen Zhu, Yaoyao Zhao, Qi Zhang, Huan Yao, Hansen Zhao, Guangsheng Guo and 3 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 41 citations in OpenAlex.

  1. Living single-cell metabolomicsChemical science · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
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  9. Article
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  12. Article
  13. Machine learning-empoweredChemical science · 2023
    Article
  14. 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

13 authors at 3 institutions in 1 country.

Yunlong ShaoDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Yingyan ZhouDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Yuanxing LiuDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Wenmei ZhangDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Guizhen ZhuDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Yaoyao ZhaoDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Qi ZhangDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Huan YaoDepartment of Chemistry, Tsinghua University Beijing 100084 P. R. China.
Hansen ZhaoDepartment of Chemistry, Tsinghua University Beijing 100084 P. R. China.
Guangsheng GuoDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.
Sichun ZhangDepartment of Chemistry, Tsinghua University Beijing 100084 P. R. China.ORCID https://orcid.org/0000-0003-3439-8523
Xinrong ZhangDepartment of Chemistry, Tsinghua University Beijing 100084 P. R. China.ORCID https://orcid.org/0000-0002-3174-303X
Xiayan WangDepartment of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Beijing University of Technology Beijing 100124 P. R. China zhaoyaoyao@bjut.edu.cn xiayanwang@bjut.edu.cn.ORCID https://orcid.org/0000-0003-1735-0077
Beijing University of Technology · CNTsinghua University · CNMinzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While single-cell mass spectrometry can reveal cellular heterogeneity and the molecular mechanisms of intracellular biochemical reactions, its application is limited by the insufficient detection sensitivity resulting from matrix interference and sample dilution. Herein, we propose an intact living-cell electrolaunching ionization mass spectrometry (ILCEI-MS) method. A capillary emitter with a narrow-bore, constant-inner-diameter ensures that the entire living cell enters the MS ion-transfer tube. Inlet ionization improves sample utilization, and no solvent is required, preventing sample dilution and matrix interference. Based on these features, the detection sensitivity is greatly improved, and the average signal-to-noise (S/N) ratio is about 20 : 1 of single-cell peaks in the TIC of ILCEI-MS. A high detection throughput of 51 cells per min was achieved by ILCEI-MS for the single-cell metabolic profiling of multiple cell lines, and 368 cellular metabolites were identified. Further, more than 4000 primary single cells digested from the fresh multi-organ tissues of mice were detected by ILCEI-MS, demonstrating its applicability and reliability.

Identifiers

PMID35919431
PMCPMC9278508
OpenAlexW4285256008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.