Evidence map›Paper›PMID 41775714›Full record

ArticleNature communications2026

Single-cell thiol profiling enabled by live-cell labeling reveals metabolic heterogeneity in ferroptosis.

Daiyu Miao, Qiuning Li, Yi Zhang, Shaojie Qin, Ying Wang, Xiaoyun Liu, Yu Bai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Daiyu MiaoBeijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-6874-9443
Qiuning LiBeijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Yi ZhangBeijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0009-0007-7558-7589
Shaojie QinBeijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Ying WangDepartment of Microbiology and Infectious Disease Center, NHC Key Laboratory of Medical Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Xiaoyun LiuDepartment of Microbiology and Infectious Disease Center, NHC Key Laboratory of Medical Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.ORCID http://orcid.org/0000-0001-7083-5263
Yu BaiBeijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing, China. yu.bai@pku.edu.cn.ORCID http://orcid.org/0000-0003-1542-0297

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22125401
6 · The paper itself

Abstract

Thiols serve indispensable biochemical functions across catalysis, redox homeostasis and energy metabolism. However, profiling multiple thiols at the single-cell level remains challenging due to their trace amount and susceptibility to oxidation. Herein, we report an integrated strategy for thiol profiling at the single-cell level which combines live-cell labeling with organic mass cytometry. The live-cell labeling strategy facilitates the comprehensive measurement of intrinsic thiols with expanded coverage and improved sensitivity, while organic mass cytometry enables simultaneous quantification of 27 labeled thiols and 355 other metabolites from single cells. Assessment of metabolic fluctuation upon stimulation demonstrates practicability and accuracy of this integrated methodology which is capable of pathway activity monitoring, metabolic network mapping and untargeted metabolome profiling. Further application of this method in investigating RSL3-triggered ferroptosis reveals that RSL3 inhibits glutathione synthesis via nuclear factor E2-related factor 2- glutathione axis and results in heterogenous glutathione metabolism between subtypes.

Indexed as

FerroptosisSingle-Cell AnalysisSulfhydryl CompoundsAnimalsGlutathioneHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsNF-E2-Related Factor 2Staining and LabelingGlutathioneNF-E2-Related Factor 2Sulfhydryl Compounds

Identifiers

PMID41775714
PMCPMC13066647

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.