ArticleTrends in analytical chemistry : TRAC2007
Highly-parallel metabolomics approaches using LC-MS for pharmaceutical and environmental analysis.
Article in Trends in analytical chemistry : TRAC, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Urine metabolite profiling in Indian males exposed to high-altitude: a longitudinal pilot study.Scientific reports · 2025Article
- From Complexity to Clarity: Expanding Metabolome Coverage With Innovative Analytical Strategies.Journal of separation science · 2025Review
- A plant-mediated synthesis of nanostructured hydroxyapatite for biomedical applications: a review.RSC advances · 2020Review
- Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.Frontiers in plant science · 2015Review
- Spectral deconvolution for gas chromatography mass spectrometry-based metabolomics: current status and future perspectives.Computational and structural biotechnology journal · 2013Review
- A mass spectrometric study for comparative analysis and evaluation of metabolite recovery from plasma by various solvent systems.Journal of biomolecular techniques : JBT · 2012Article
- Analytical strategies for LC-MS-based targeted metabolomics.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2008Article
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
The 'omics' approaches - genomics, proteomics and metabolomics - are based on high-throughput, high-information-content analysis. Using these approaches, as opposed to targeting one or a few analytes, a holistic understanding of the composition of a sample can be obtained. These approaches have revolutionized sample-analysis and data-processing protocols. In metabolomic studies, hundreds of small molecules are simultaneously analyzed using analytical platforms (e.g., gas chromatography-mass spectrometry (GC-MS) or liquid chromatography coupled to tandem mass spectrometry (LC-MS(2))). This philosophy of holistic analysis and the application of high-throughput, high-information-content analysis offer several advantages. In this article, we compare the conventional analytical approach of one or a few analytes per sample to the LC-MS(2)-based metabolomics-type approach in the context of pharmaceutical and environmental analysis.
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.