Evidence map›Paper›PMID 34435209›Full record

ReviewAnalytical and bioanalytical chemistry2022

Towards high throughput and high information coverage: advanced single-cell mass spectrometric techniques.

Shuting Xu, Cheng Yang, Xiuping Yan, Huwei Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Shuting XuState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Cheng YangState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Xiuping YanState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China. xpyan@jiangnan.edu.cn.
Huwei LiuInstitute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China. hwliu@pku.edu.cn.ORCID http://orcid.org/0000-0001-6540-9657

Funding

China Postdoctral Science Foundation 2021M691270National Natural Science Foundation of China 21775008
6 · The paper itself

Abstract

Mass spectrometry (MS) is attractive for single-cell analysis because of its high sensitivity, rich information, and large dynamic ranges, especially for the single-cell metabolome and proteome analysis. Efforts have been made to deal with the throughput and information coverage problems in typical manual single-cell MS techniques. In this review, advanced techniques to improve the automation and throughput for single-cell sampling and single-cell metabolome and proteome MS detection have been discussed. Furthermore, representative MS-based strategies that can increase the in-depth cellular information coverage and achieve the more comprehensive single-cell multiomics information during high throughput detection have been highlighted, providing an ongoing perspective of the MS performance for the single-cell research.

Indexed as

High-Throughput Screening AssaysMass SpectrometryMetabolomicsProteomicsSingle-Cell AnalysisHigh throughputMass spectrometryMetabolomicsMultiomicsProteomicsSingle-cell analysis

Identifiers

PMID34435209

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.