ReviewBiochimie2013
Lipidomic profiling of model organisms and the world's major pathogens.
Review in Biochimie, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Exploring the Inhibitory Effects of Some Detergents onACS omega · 2026Article
- Biotin-dependent cell envelope remodelling is required for Mycobacterium abscessus survival in lung infection.Nature microbiology · 2023Article
- Towards Accurate Point-of-Care Tests for Tuberculosis in Children.Pathogens (Basel, Switzerland) · 2022Review
- Discovery ofThe Journal of experimental medicine · 2019Article
- Intact Cell Lipidomics Reveal Changes to the Ratio of Cardiolipins to Phosphatidylinositols in Response to Kanamycin in HeLa and Primary Cells.Chemical research in toxicology · 2018Article
- Measuring the Global Substrate Specificity of Mycobacterial Serine Hydrolases Using a Library of Fluorogenic Ester Substrates.ACS infectious diseases · 2018Article
- Everybody needs sphingolipids, right! Mining for new drug targets in protozoan sphingolipid biosynthesis.Parasitology · 2018Review
- Lipid specific molecular ion emission as a function of the primary ion characteristics in TOF-SIMS.Journal of vacuum science and technology. B, Nanotechnology & microelectronics : materials, processing, measurement, & phenomena : JVST B · 2016Article
- Lipid Profiling of In Vitro Cell Models of Adipogenic Differentiation: Relationships With Mouse Adipose Tissues.Journal of cellular biochemistry · 2016Article
- Rifampin Resistance Mutations Are Associated with Broad Chemical Remodeling of Mycobacterium tuberculosis.The Journal of biological chemistry · 2016Article
- Monstrous Mycobacterial Lipids.Cell chemical biology · 2016Article
- Hijacking and Use of Host Lipids by Intracellular Pathogens.Microbiology spectrum · 2015Review
- Metabolomics: Applications and Promise in Mycobacterial Disease.Annals of the American Thoracic Society · 2015Review
- Lipidomic analysis links mycobactin synthase K to iron uptake and virulence in M. tuberculosis.PLoS pathogens · 2015Article
- Pathogenic nontuberculous mycobacteria resist and inactivate cathelicidin: implication of a novel role for polar mycobacterial lipids.PloS one · 2015Article
- Changes in lipid distribution in E. coli strains in response to norfloxacin.Journal of mass spectrometry : JMS · 2015Article
- Nutritional lipidomics: molecular metabolism, analytics, and diagnostics.Molecular nutrition & food research · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Lipidomics is a subspecialty of metabolomics that focuses on water insoluble metabolites that form membrane barriers. Most lipidomic databases catalog lipids from common model organisms, like humans or Escherichia coli. However, model organisms' lipid profiles show surprisingly little overlap with those of specialized pathogens, creating the need for organism-specific lipidomic databases. Here we review rapid progress in lipidomic platform development with regard to chromatography, detection and bioinformatics. We emphasize new methods of comparative lipidomics, which use aligned datasets to identify lipids changed after introducing a biological variable. These new methods provide an unprecedented ability to broadly and quantitatively describe lipidic change during biological processes and identify changed lipids with low error rates.
Indexed as
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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.