ReviewMethods in molecular biology (Clifton, N.J.)2009
Comparison of quantitative metabolite imaging tools and carbon-13 techniques for fluxomics.
Review in Methods in molecular biology (Clifton, N.J.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Infrared Microimaging of Sucrose Distribution in Plant Vascular Tissues.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Fluxomics - New Metabolomics Approaches to Monitor Metabolic Pathways.Frontiers in pharmacology · 2022Review
- Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data.Entropy (Basel, Switzerland) · 2020Article
- Micro Imaging Displays the Sucrose Landscape within and along Its Allocation Pathways.Plant physiology · 2018Article
- A Tandem Liquid Chromatography-Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus.Journal of visualized experiments : JoVE · 2017Article
- Optical sensors for measuring dynamic changes of cytosolic metabolite levels in yeast.Nature protocols · 2011Article
- Engineering genetically encoded nanosensors for real-time in vivo measurements of citrate concentrations.PloS one · 2011Article
- Whole-genome metabolic network reconstruction and constraint-based modeling.Methods in enzymology · 2011Article
- Targeting mitochondrial metabolism and machinery as a means to enhance photosynthesis.Plant physiology · 2011Review
- Quantitative imaging for discovery and assembly of the metabo-regulome.The New phytologist · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The recent development of analytic technologies allows fast analysis of metabolism in real time. Fluxomics aims to define the genes involved in regulation of flux through a metabolic or signaling pathway. Flux through a metabolic or signaling pathway is determined by the activity of its individual components; regulation can occur at many levels, including transcriptional, posttranslational, and allosteric levels. Currently two technologies are used to monitor fluxes. The first is pulse labeling of the organism with a tracer such as C13, followed by mass spectrometric analysis of the partitioning of label into different compounds. The second approach is based on the use of flux sensors, proteins that respond with a conformational change to ligand binding. Fluorescence resonance energy transfer (FRET) detects the conformational change and serves as a proxy for ligand concentration. Both methods provide high time resolution. In contrast to mass spectrometry assays, FRET nanosensors monitor only a single compound, but the advantage of FRET nanosensors is that they yield data with cellular and subcellular resolution.
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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.