ArticleScientific reports2020
Computational data mining method for isotopomer analysis in the quantitative assessment of metabolic reprogramming.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Control Analysis of Cooperativity and Complementarity in Metabolic Regulations: The Case of NADPH Homeostasis.Metabolites · 2023Article
- Isotope Calculation Gadgets: A Series of Software for Isotope-Tracing Experiments in Garuda Platform.Metabolites · 2022Article
- Metabolomics-based phenotypic screens for evaluation of drug synergy via direct-infusion mass spectrometry.iScience · 2022Article
- mfapy: An open-source Python package forMetabolic engineering communications · 2021Article
- The Combined Treatment With the FLT3-Inhibitor AC220 and the Complex I Inhibitor IACS-010759 Synergistically Depletes Wt- and FLT3-Mutated Acute Myeloid Leukemia Cells.Frontiers in oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measurement of metabolic flux levels using stable isotope labeling has been successfully used to investigate metabolic redirection and reprogramming in living cells or tissues. The metabolic flux ratio between two reactions can be estimated from the
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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.