Evidence map›Paper›PMID 34613842›Full record

ArticleAmerican journal of physiology. Cell physiology2021

Determination of cell volume as part of metabolomics experiments.

Karatatiwant Singh Sidhu, Eyal Amiel, Ralph C Budd, Dwight E Matthews

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Karatatiwant Singh SidhuDepartment of Chemistry, The University of Vermont, Burlington, Vermont.
Eyal AmielDepartment of Biomedical and Health Sciences, College of Nursing and Health Sciences, The University of Vermont, Burlington, Vermont.
Ralph C BuddDepartment of Medicine, The University of Vermont, Burlington, Vermont.
Dwight E MatthewsDepartment of Chemistry, The University of Vermont, Burlington, Vermont.ORCID 0000-0003-2715-6104
University of Vermont · US

Funding

Vermont Immunology/Infectious Diseases CenterP30GM118228 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2016 to 2021
$6.8M
A nano ESI-LCMS/MS Waters XEVO G2-S QTOF for UVMS10OD018126 · OD · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI MATTHEWS, DWIGHT E · 2014 to 2014
$462k
NIGMS NIH HHS P30 GM118228NIH HHS S10 OD018126ODCDC CDC HHS S10 OD018126
6 · The paper itself

Abstract

Cells regulate their cell volume, but cell volumes may change in response to metabolic and other perturbations. Many metabolomics experiments use cultured cells to measure changes in metabolites in response to physiological and other experimental perturbations, but the metabolomics workflow by mass spectrometry only determines total metabolite amounts in cell culture extracts. To convert metabolite amount to metabolite concentration requires knowledge of the number and volume of the cells. Measuring only metabolite amount can lead to incorrect or skewed results in cell culture experiments because cell size may change due to experimental conditions independent of change in metabolite concentration. We have developed a novel method to determine cell volume in cell culture experiments using a pair of stable isotopically labeled phenylalanine internal standards incorporated within the normal liquid chromatography-tandem mass spectrometry (LC-MS/MS) metabolomics workflow. This method relies on the flooding-dose technique where the intracellular concentration of a particular compound (in this case phenylalanine) is forced to equal its extracellular concentration. We illustrate the LC-MS/MS technique for two different mammalian cell lines. Although the method is applicable in general for determining cell volume, the major advantage of the method is its seamless incorporation within the normal metabolomics workflow.

Indexed as

Cell SizeMetabolomeMetabolomicsAnimalsBiomarkersCell LineChromatography, LiquidDendritic CellsLymphocytesMicePhenylalanineSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryTime FactorsWorkflowBiomarkersPhenylalaninecell cultureflooding doseliquid chromatography-mass spectrometrymethodstable isotopes

Identifiers

PMID34613842
PMCPMC8714993
OpenAlexW3203822639

What OpenQuestion holds

Textmetadata
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.