Evidence map›Paper›PMID 19744877›Full record

ReviewCurrent opinion in chemical biology2009

Lipidomics: a mass spectrometry based systems level analysis of cellular lipids.

Pavlina T Ivanova, Stephen B Milne, David S Myers, H Alex Brown

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Trial
  2. Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025
    Review
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  13. Recent applications of mass spectrometry in bacterial lipidomics.Analytical and bioanalytical chemistry · 2020
    Review
  14. Article
  15. Review
  16. Article
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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

4 authors.

Pavlina T IvanovaDepartment of Pharmacology, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Stephen B Milne
David S Myers
H Alex Brown

Funding

STEROL LIPIDSU54GM069338 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DENNIS, EDWARD A · 2003 to 2013
$72.2M
Protein Adducts and Proteome Profiles in Oxidative StressP01ES013125 · NIEHS · VANDERBILT UNIVERSITY · PI PORTER, NED ALLEN · 2005 to 2012
$12.6M
NIEHS NIH HHS ES013125NIEHS NIH HHS P01 ES013125NIGMS NIH HHS U54 GM069338
6 · The paper itself

Abstract

Lipidomics is a logical outcome of the history and traditions of lipid biochemistry and advances in mass spectrometry are at the heart of a renaissance in understanding the roles of lipids in cellular functions. Our desire to understand the complexity of lipids in biology has led to new techniques that allow us to identify over 1000 phospholipids in mammalian cell types and tissues. Improvements in chromatographic separation and mass spectrometry have positioned us to determine not only the lipid composition (i.e. parts list) of cells and tissues, but also address questions regarding lipid substrates and products that previously overwhelmed traditional analytical technologies. In the decade since lipidomics was conceived much of the efforts have been on new methodologies, development of computer programs to decipher the gigabytes of raw data, and struggling with the highly variable nature of biological systems where absolute quantities of a given metabolite may be less important than its relative change in concentration. It is clear that the technology is now sufficiently developed to address fundamental questions about the roles of lipids in cellular signaling and metabolic pathways.

Indexed as

Lipid MetabolismAnimalsCellsChromatography, High Pressure LiquidComputational BiologyHumansLipidsMass SpectrometryLipids

Identifiers

PMID19744877
PMCPMC2787871

What OpenQuestion holds

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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.