ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2004
Metabolic profiles to define the genome: can we hear the phenotypes?
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Plant-pathogen interactions: making the case for multi-omics analysis of complex pathosystems.Stress biology · 2025Review
- NMR-based metabolomic investigation of dogs with acute flaccid paralysis due to tick paralysis.Veterinary medicine and science · 2024Article
- Central carbon metabolism remodeling as a mechanism to develop drug tolerance and drug resistance inFrontiers in cellular and infection microbiology · 2022Review
- Metabolic Phenotyping Predicts Gemcitabine and Cisplatin Chemosensitivity in Patients With Cholangiocarcinoma.Frontiers in public health · 2022Article
- A Metabolic Model of Intestinal Secretions: The Link between Human Microbiota and Colorectal Cancer Progression.Metabolites · 2021Article
- You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.Foods (Basel, Switzerland) · 2021Review
- Current Strategies and Future Perspectives for Precision Medicine in Pancreatic Cancer.Cancers · 2020Review
- Biomarkers for Bone Tumors: Discovery from Genomics and Proteomics Studies and Their Challenges.Molecular medicine (Cambridge, Mass.) · 2016Article
- Article
- Computational strategies for a system-level understanding of metabolism.Metabolites · 2014Review
- Metabolomics approach in allergic and rheumatic diseases.Current allergy and asthma reports · 2014Review
- Cancer genomic research at the crossroads: realizing the changing genetic landscape as intratumoral spatial and temporal heterogeneity becomes a confounding factor.Cancer cell international · 2014Article
- Metabolism under hypoxia in Tm1 murine melanoma cells is affected by the presence of galectin-3, a metabolomics approach.SpringerPlus · 2014Article
- Overview of mass spectrometry-based metabolomics: opportunities and challenges.Methods in molecular biology (Clifton, N.J.) · 2014Review
- Factor analysis of proton MR spectroscopic imaging data in HIV infection: metabolite-derived factors help identify infection and dementia.Radiology · 2010Article
- Systems biology in heart diseases.Hippokratia · 2010Article
- Metabolomic analysis of human disease and its application to the eye.Journal of ocular biology, diseases, and informatics · 2009Article
- omega-3 oil intake during weight loss in obese women results in remodelling of plasma triglyceride and fatty acids.Metabolomics : Official journal of the Metabolomic Society · 2009Article
- Metabolomics of the interaction between PPAR-alpha and age in the PPAR-alpha-null mouse.Molecular systems biology · 2009Article
- Factor analysis reveals differences in brain metabolism in macaques with SIV/AIDS and those with SIV-induced encephalitis.NMR in biomedicine · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is an increased reliance on genetically modified organisms as a functional genomic tool to elucidate the role of genes and their protein products. Despite this, many models do not express the expected phenotype thought to be associated with the gene or protein. There is thus an increased need to further define the phenotype resultant from a genetic modification to understand how the transcriptional or proteomic network may conspire to alter the expected phenotype. This is best typified by the description of the silent phenotype in genetic manipulations of yeast. High-resolution proton nuclear magnetic resonance ((1)H NMR) spectroscopy provides an ideal mechanism for the profiling of metabolites within biofluids, tissue extracts or, with recent advances, intact tissues. These metabolic datasets can be readily mined using a range of pattern recognition techniques, including hierarchical cluster analysis, principal components analysis, partial least squares and neural networks, with the combined approach being termed metabolomics. This review describes the application of NMR-based metabolomics or metabonomics to genetic and chemical interventions in a number of different species, demonstrating the versatility of such an approach, as well as suggesting how it may be integrated with other "omic" technologies.
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.