Evidence map›Paper›PMID 38699276›Full record

ArticleChemical science2024

High-throughput single-cell mass spectrometry enables metabolic network analysis by resolving phospholipid C[double bond, length as m-dash]C isomers.

Simin Cheng, Chenxi Cao, Yao Qian, Huan Yao, Xiaoyun Gong, Xinhua Dai, Zheng Ouyang, Xiaoxiao Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Living single-cell metabolomicsChemical science · 2026
    Review
  2. Article
  3. 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.

Simin ChengTechnology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology Bejing 100029 China daixh@nim.ac.cn.
Chenxi CaoState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University Beijing 100084 China ouyang@mail.tsinghua.edu.cn maxx@tsinghua.edu.cn.
Yao QianState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University Beijing 100084 China ouyang@mail.tsinghua.edu.cn maxx@tsinghua.edu.cn.
Huan YaoDivision of Chemical Metrology and Analytical Science, National Institute of Metrology Beijing 100029 China.
Xiaoyun GongTechnology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology Bejing 100029 China daixh@nim.ac.cn.
Xinhua DaiTechnology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology Bejing 100029 China daixh@nim.ac.cn.ORCID https://orcid.org/0000-0002-0248-9554
Zheng OuyangState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University Beijing 100084 China ouyang@mail.tsinghua.edu.cn maxx@tsinghua.edu.cn.
Xiaoxiao MaState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University Beijing 100084 China ouyang@mail.tsinghua.edu.cn maxx@tsinghua.edu.cn.ORCID https://orcid.org/0000-0003-1205-6485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell mass spectrometry (MS) is an essential technology for sensitive and multiplexed analysis of metabolites and lipids for cell phenotyping and pathway studies. However, the structural elucidation of lipids from single cells remains a challenge, especially in the high-throughput scenario. Technically, there is a contradiction between the inadequate sample amount (

Identifiers

PMID38699276
PMCPMC11062128

What Socratic 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 Socratic graph.