Evidence map›Paper›PMID 42064591›Full record

ReviewChemical science2026

Living single-cell metabolomics

Xianzhe Shi, Jiajun Peng, Chunxiu Hu, Muyingnan You, Xin Lu, Xinyu Liu, Guowang Xu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xianzhe ShiMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Jiajun PengMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Chunxiu HuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Muyingnan YouMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Xin LuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Xinyu LiuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.
Guowang XuMetabolomics Subcenter of the National Genomics Data Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Dalian 116023 China xugw@dicp.ac.cn liuxy2012@dicp.ac.cn luxin001@dicp.ac.cn.ORCID https://orcid.org/0000-0003-4298-3554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular heterogeneity is an inherent feature of biological systems, and living single-cell metabolomics (SCM) has emerged as a powerful approach to probe this diversity-a dimension often lost in conventional bulk analyses. Currently, mass spectrometry (MS)-based living SCM techniques are driving a revolution toward higher throughput, sensitivity, and coverage, enabling the identification of rare cell subpopulations and expanding applications across various biological fields. Nevertheless, several bottlenecks remain, including limited metabolome coverage, insufficient throughput, batch effects, instrumental constraints, and challenges in processing large-scale datasets. Future efforts should focus on all stages of SCM, prioritizing the development of microfluidics-integrated living-cell analysis platforms, enhanced ionization sources,

Identifiers

PMID42064591
PMCPMC13127163

What OpenQuestion holds

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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.