Evidence map›Paper›PMID 31606084›Full record

ArticleMethods in enzymology2019

Metabolomics analysis of lipid metabolizing enzyme activity.

Timothy B Ware, Myungsun Shin, Ku-Lung Hsu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

3 authors.

Timothy B WareDepartment of Chemistry, University of Virginia, Charlottesville, VA, United States.
Myungsun ShinDepartment of Chemistry, University of Virginia, Charlottesville, VA, United States.
Ku-Lung HsuDepartment of Chemistry, University of Virginia, Charlottesville, VA, United States; Department of Pharmacology, University of Virginia, Charlottesville, VA, United States; Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, United States; University of Virginia Cancer Center, University of Virginia, Charlottesville, VA, United States. Electronic address: kenhsu@virginia.edu.

Funding

Endocannabinoid Biosynthesis in Inflammation and PainR01DA043571 · NIDA · UNIVERSITY OF VIRGINIA · PI Ku-Lung Hsu · 2017 to 2026
$3.5M
Functional Characterization of Diacylglycerol Lipases in Mammalian PhysiologyR00DA035864 · NIDA · UNIVERSITY OF VIRGINIA · PI HSU, KU-LUNG · 2015 to 2017
$744k
Functional Characterization of Diacylglycerol Lipases in Mammalian PhysiologyK99DA035864 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI HSU, KU-LUNG · 2014 to 2014
$128k
NIDA NIH HHS K99 DA035864NIDA NIH HHS R00 DA035864NIDA NIH HHS R01 DA043571
6 · The paper itself

Abstract

Lipids exert key structural, metabolic, and signaling functions in cells. Lipid diversity found in cells and tissues is regulated principally by metabolic enzymes whose activity is modulated posttranslationally to shape head group and fatty acyl composition of membrane lipids. Methodologies capable of monitoring in vivo changes in the lipidome are needed to assign substrate specificity of metabolic enzymes, which represents a key step toward understanding structure-function of lipids in living systems. The resulting lipid annotations also serve as important biomarkers for understanding mode of action for pharmacological agents targeting metabolic enzymes in cells and animal models. In this chapter, we describe a general metabolomics workflow to complement (chemo)proteomic efforts to modulate lipid pathways for basic science and translational applications.

Indexed as

Lipid MetabolismAnimalsBiocatalysisChemical FractionationChromatography, LiquidHumansLipidomicsLipidsTandem Mass SpectrometryLipidsAnalytical chemistryChemical biologyFatsLipidomicsLipidsMass spectrometryMetabolomicsOrbitrap

Identifiers

PMID31606084
PMCPMC8589470

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.