Evidence map›Paper›PMID 27974366›Full record

ArticleJournal of lipid research2017

An optimized method for measuring fatty acids and cholesterol in stable isotope-labeled cells.

Joseph P Argus, Amy K Yu, Eric S Wang, Kevin J Williams, Steven J Bensinger

Abstract read
In one paragraph

Article in Journal of lipid research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Joseph P ArgusDepartments of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
Amy K YuDepartments of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
Eric S WangDepartments of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
Kevin J WilliamsDepartments of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
Steven J BensingerDepartments of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095 sbensinger@mednet.ucla.edu.

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Determining the Impact of SREBP on Adaptive ImmunityR01AI093768 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BENSINGER, STEVEN J · 2012 to 2015
$1.5M
Investigating the crosstalk between lipid metabolism and HIVR21HL126556 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BENSINGER, STEVEN J · 2014 to 2015
$405k
NHLBI NIH HHS R21 HL126556NIAID NIH HHS R01 AI093768NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

Stable isotope labeling has become an important methodology for determining lipid metabolic parameters of normal and neoplastic cells. Conventional methods for fatty acid and cholesterol analysis have one or more issues that limit their utility for in vitro stable isotope-labeling studies. To address this, we developed a method optimized for measuring both fatty acids and cholesterol from small numbers of stable isotope-labeled cultured cells. We demonstrate quantitative derivatization and extraction of fatty acids from a wide range of lipid classes using this approach. Importantly, cholesterol is also recovered, albeit at a modestly lower yield, affording the opportunity to quantitate both cholesterol and fatty acids from the same sample. Although we find that background contamination can interfere with quantitation of certain fatty acids in low amounts of starting material, our data indicate that this optimized method can be used to accurately measure mass isotopomer distributions for cholesterol and many fatty acids isolated from small numbers of cultured cells. Application of this method will facilitate acquisition of lipid parameters required for quantifying flux and provide a better understanding of how lipid metabolism influences cellular function.

Indexed as

Lipid MetabolismCell LineCholesterolFatty AcidsHumansIsotope LabelingIsotopesCholesterolFatty AcidsIsotopeslipids/chemistrymass spectrometryneutral lipidssphingolipidsstable isotope labeling

Identifiers

PMID27974366
PMCPMC5282944

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.