ArticleMetabolites2012
What mRNA Abundances Can Tell us about Metabolism.
Article in Metabolites, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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
23 citing papers in PubMed.
- Flux sampling and context-specific genome-scale metabolic models for biotechnological applications.Trends in biotechnology · 2026Review
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Differential effects of bariatric surgery and caloric restriction on hepatic one-carbon and fatty acid metabolism.iScience · 2023Article
- Metabolomic and transcriptomic response to imatinib treatment of gastrointestinal stromal tumour in xenograft-bearing mice.Translational oncology · 2023Article
- Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches.Computational and structural biotechnology journal · 2023Article
- A Single-Cell Raman Spectroscopy Analysis of Bone Marrow Mesenchymal Stem/Stromal Cells to Identify Inter-Individual Diversity.International journal of molecular sciences · 2022Article
- Metabolic Survival Adaptations of Plasmodium falciparum Exposed to Sublethal Doses of Fosmidomycin.Antimicrobial agents and chemotherapy · 2021Article
- Type I Phosphatidylinositol-4-Phosphate 5-Kinases α and γ Play a Key Role in Targeting HIV-1 Pr55Journal of virology · 2020Article
- Transcriptomic data-driven discovery of global regulatory features of rice seeds developing under heat stress.Computational and structural biotechnology journal · 2020Article
- Integrating proteomic or transcriptomic data into metabolic models using linear bound flux balance analysis.Bioinformatics (Oxford, England) · 2018Article
- Profiling the Metabolism of Human Cells by DeepCell chemical biology · 2018Article
- Modeling the Metabolic State ofFrontiers in cellular and infection microbiology · 2018Article
- More than just a gut feeling: constraint-based genome-scale metabolic models for predicting functions of human intestinal microbes.Microbiome · 2017Review
- E-Flux2 and SPOT: Validated Methods for Inferring Intracellular Metabolic Flux Distributions from Transcriptomic Data.PloS one · 2016Article
- OM-FBA: Integrate Transcriptomics Data with Flux Balance Analysis to Decipher the Cell Metabolism.PloS one · 2016Article
- Article
- An integrated "omics" approach to the characterization of maize (Zea mays L.) mutants deficient in the expression of two genes encoding cytosolic glutamine synthetase.BMC genomics · 2014Article
- Methods for integration of transcriptomic data in genome-scale metabolic models.Computational and structural biotechnology journal · 2014Review
- Systematic evaluation of methods for integration of transcriptomic data into constraint-based models of metabolism.PLoS computational biology · 2014Article
- Transcript abundance on its own cannot be used to infer fluxes in central metabolism.Frontiers in plant science · 2014Article
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
Inferring decreased or increased metabolic functions from transcript profiles is at first sight a bold and speculative attempt because of the functional layers in between: proteins, enzymatic activities, and reaction fluxes. However, the growing interest in this field can easily be explained by two facts: the high quality of genome-scale metabolic network reconstructions and the highly developed technology to obtain genome-covering RNA profiles. Here, an overview of important algorithmic approaches is given by means of criteria by which published procedures can be classified. The frontiers of the methods are sketched and critical voices are being heard. Finally, an outlook for the prospects of the field is given.
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.