ReviewJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2009
Discovering novel brain lipids by liquid chromatography/tandem mass spectrometry.
Review in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- DANGO: An MS data annotation tool for glycolipidomics.BBA advances · 2025Article
- Measuring the Content of Endocannabinoid-Like Compounds in Biological Fluids: A Critical Overview of Sample Preparation Methodologies.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Brain lipidomics: From functional landscape to clinical significance.Science advances · 2022Review
- The foundations and development of lipidomics.Journal of lipid research · 2022Review
- Accumulated substancies and calorific capacity in adipose tissue: Physical and chemical clinical trial.BBA clinical · 2017Article
- Selection of internal standards for accurate quantification of complex lipid species in biological extracts by electrospray ionization mass spectrometry-What, how and why?Mass spectrometry reviews · 2017Review
- Article
- ABHD4 regulates multiple classes of N-acyl phospholipids in the mammalian central nervous system.Biochemistry · 2015Article
- Genetic defects in dolichol metabolism.Journal of inherited metabolic disease · 2015Review
- A systematic survey of lipids across mouse tissues.American journal of physiology. Endocrinology and metabolism · 2014Article
- Structural characterization of oxidized glycerophosphatidylserine: evidence of polar head oxidation.Journal of the American Society for Mass Spectrometry · 2011Article
- Lipidomics: a mass spectrometry based systems level analysis of cellular lipids.Current opinion in chemical biology · 2009Review
- Multi-dimensional mass spectrometry-based shotgun lipidomics and novel strategies for lipidomic analyses.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Discovery and structural elucidation of novel brain lipids hold great promise in revealing new lipid functions in the brain and in understanding the biochemical mechanisms underlying brain physiology and pathology. The revived interests in searching for novel brain lipids have been stimulated by the expanding knowledge of the roles of lipids in brain functions, lipids acting as signaling molecules, and the advent of lipidomics enabled by the advances in mass spectrometry (MS) and liquid chromatography (LC). The identification and characterization of two classes of novel lipids from the brain are reviewed here: N-acyl phosphatidylserine (N-acyl-PS) and dolichoic acid (Dol-CA). The identification of these lipids benefited from the use of efficient lipid fractionation and separation techniques and highly sensitive, high-resolution tandem MS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.