ArticleCancer & metabolism2020
Metabolite AutoPlotter - an application to process and visualise metabolite data in the web browser.
Article in Cancer & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Tumor metabolic adaptation induced by L-asparaginase reveals a vulnerability to PARP1/2 inhibitor in B-cell lymphomas.Nature communications · 2026Article
- A step-by-step guide to performing cancer metabolism research using custom-made media.Life science alliance · 2026Article
- Fusobacterium nucleatum interacts with cancer-associated fibroblasts to promote colorectal cancer.The EMBO journal · 2025Article
- Exploring the Cytokinin Profile ofMetabolites · 2025Article
- Metabolic consequences of altered kidney glucose reabsorption under normoglycemic conditions.Molecular metabolism · 2025Article
- EGFR controls transcriptional and metabolic rewiring in KRASEMBO molecular medicine · 2025Article
- HSV-1 alters lipid metabolism and induces lipid droplet accumulation in functionally impaired mouse dendritic cells.iScience · 2025Article
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- Application of the Hydrophilic Interaction Liquid Chromatography (HILIC-MS) Novel Protocol to Study the Metabolic Heterogeneity of Glioblastoma Cells.Metabolites · 2024Article
- Serine synthesis via reversed SHMT2 activity drives glycine depletion and acetaminophen hepatotoxicity in MASLD.Cell metabolism · 2024Article
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- Unlocking Potentially Therapeutic Phytochemicals in Capadulla (Metabolites · 2023Article
- Pyruvate anaplerosis is a targetable vulnerability in persistent leukaemic stem cells.Nature communications · 2023Article
- Arginine depletion attenuates renal cystogenesis in tuberous sclerosis complex model.Cell reports. Medicine · 2023Article
- Mapping the metabolic reprogramming induced by sodium-glucose cotransporter 2 inhibition.JCI insight · 2023Article
- Moderate hypoxia induces metabolic divergence in circulating monocytes and tissue resident macrophages from Berkeley sickle cell anemia mice.Frontiers in medicine · 2023Article
- Review
- Bioenergetic and Metabolic Impairments in Induced Pluripotent Stem Cell-Derived Cardiomyocytes Generated from Duchenne Muscular Dystrophy Patients.International journal of molecular sciences · 2022Article
- Tumoral microenvironment prevents de novo asparagine biosynthesis in B cell lymphoma, regardless of ASNS expression.Science advances · 2022Article
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
backgroundMetabolomics is gaining popularity as a standard tool for the investigation of biological systems. Yet, parsing metabolomics data in the absence of in-house computational scientists can be overwhelming and time-consuming. As a consequence of manual data processing, the results are often not analysed in full depth, so potential novel findings might get lost.
methodsTo tackle this problem, we developed Metabolite AutoPlotter, a tool to process and visualise quantified metabolite data. Other than with bulk data visualisations, such as heat maps, the aim of the tool is to generate single plots for each metabolite. For this purpose, it reads as input pre-processed metabolite-intensity tables and accepts different experimental designs, with respect to the number of metabolites, conditions and replicates. The code was written in the R-scripting language and wrapped into a shiny application that can be run online in a web browser on https://mpietzke.shinyapps.io/autoplotter.
resultsWe demonstrate the main features and the ease of use with two different metabolite datasets, for quantitative experiments and for stable isotope tracing experiments. We show how the plots generated by the tool can be interactively modified with respect to plot type, colours, text labels and the shown statistics. We also demonstrate the application towards
conclusionWith the help of Metabolite AutoPlotter, it is now possible to simplify data processing and visualisation for a wide audience. High-quality plots from complex data can be generated in a short time by pressing a few buttons. This offers dramatic improvements over manual analysis. It is significantly faster and allows researchers to spend more time interpreting the results or to perform follow-up experiments. Further, this eliminates potential copy-and-paste errors or tedious repetitions when things need to be changed. We are sure that this tool will help to improve and speed up scientific discoveries.
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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.