Evidence map›Paper›PMID 33384110›Full record

ReviewAnalytica chimica acta2021

Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Renmeng Liu, Zhibo Yang

Open access · greenAbstract readReview
In one paragraph

Review in Analytica chimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

31 citing papers in PubMed, 61 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Renmeng LiuDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA; Alliance Pharma. Inc., Malvern, PA, 19355, USA.
Zhibo YangDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA. Electronic address: zhibo.yang@ou.edu.
Alliance Pharmaceutical (United States) · USUniversity of Oklahoma · US

Funding

From Single Cells to Tissues: a Novel Mass Spectrometry Approach for BioanalysisR01GM116116 · NIGMS · UNIVERSITY OF OKLAHOMA · PI YANG, ZHIBO · 2015 to 2019
$1.5M
Mass Spectrometry Detection of Drugs in Single Bladder Cancer Cells from PatientsR21CA204706 · NCI · UNIVERSITY OF OKLAHOMA · PI BURGETT, ANTHONY WG · 2016 to 2018
$599k
NCI NIH HHS R21 CA204706NIGMS NIH HHS R01 GM116116
6 · The paper itself

Abstract

Mass spectrometry (MS) based techniques are gaining popularity for metabolomics research due to their high sensitivity, wide detection range, and capability of molecular identification. Utilizing such powerful technique to explore the cellular metabolism at the single cell level not only appreciates the subtle cell-to-cell difference (i.e., cell heterogeneity), but also gains biological merits corresponding to individual cells or small cell subpopulations. In this review article, we first briefly summarize recent advances in single cell MS experimental techniques, and then emphasize on the single cell metabolomics data analysis approaches. Through implementation of statistical analysis and more advanced data analysis methods, single cell metabolomics is expected to find more potential applications in the translational and clinical fields in the future.

Indexed as

Data AnalysisMetabolomicsMass SpectrometryProteomicsSingle-Cell AnalysisBiological variance vs technical varianceMachine learningSingle cell mass spectrometrySingle cell metabolomicsUnivariate and multivariate analysisVacuum-based and ambient mass spectrometry

Identifiers

PMID33384110
PMCPMC7775990
OpenAlexW3108022560

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.