Evidence map›Paper›PMID 28223513›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Single-neuron identification of chemical constituents, physiological changes, and metabolism using mass spectrometry.

Hongying Zhu, Guichang Zou, Ning Wang, Meihui Zhuang, Wei Xiong, Guangming Huang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

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  9. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
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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

6 authors.

Hongying ZhuCAS Key Laboratory of Urban Pollutant Conversion, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, China.
Guichang ZouSchool of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
Ning WangSchool of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
Meihui ZhuangCAS Key Laboratory of Urban Pollutant Conversion, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, China.
Wei XiongSchool of Life Sciences, University of Science and Technology of China, Hefei 230026, China; wxiong@ustc.edu.cn gmhuang@ustc.edu.cn.
Guangming HuangCAS Key Laboratory of Urban Pollutant Conversion, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, China; wxiong@ustc.edu.cn gmhuang@ustc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of single-cell assays has emerged as a cutting-edge technique during the past decade. Although single-cell mass spectrometry (MS) has recently achieved remarkable results, deep biological insights have not yet been obtained, probably because of various technical issues, including the unavoidable use of matrices, the inability to maintain cell viability, low throughput because of sample pretreatment, and the lack of recordings of cell physiological activities from the same cell. In this study, we describe a patch clamp/MS-based platform that enables the sensitive, rapid, and in situ chemical profiling of single living neurons. This approach integrates modified patch clamp technique and modified MS measurements to directly collect and detect nanoliter-scale samples from the cytoplasm of single neurons in mice brain slices. Abundant possible cytoplasmic constituents were detected in a single neuron at a relatively fast rate, and over 50 metabolites were identified in this study. The advantages of direct, rapid, and in situ sampling and analysis enabled us to measure the biological activities of the cytoplasmic constituents in a single neuron, including comparing neuron types by cytoplasmic chemical constituents; observing changes in constituent concentrations as the physiological conditions, such as age, vary; and identifying the metabolic pathways of small molecules.

Indexed as

AnimalsCytoplasmMass SpectrometryMetabolic Networks and PathwaysNeuronsPatch-Clamp TechniquesSingle-Cell Analysismass spectrometrymetabolismpatch clampsingle neuron

Identifiers

PMID28223513
PMCPMC5347563

What OpenQuestion holds

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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.