ArticleAnalytica chimica acta2019
Metandem: An online software tool for mass spectrometry-based isobaric labeling metabolomics.
Article in Analytica chimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- MSIght: A Modular Platform for Improved Confidence in Global, Untargeted Mass Spectrometry Imaging Annotation.Journal of proteome research · 2025Article
- High-throughput relative quantification of fatty acids by 12-plex isobaric labeling and microchip capillary electrophoresis - Mass spectrometry.Analytica chimica acta · 2024Article
- Quantification of Serum Metabolites in Early Colorectal Adenomas Using Isobaric Labeling Mass Spectrometry.Journal of proteome research · 2023Article
- Metabolomics meets systems immunology.EMBO reports · 2023Review
- Review
- Optimization of metabolomic data processing using NOREVA.Nature protocols · 2022Review
- Statistical analysis in metabolic phenotyping.Nature protocols · 2021Article
- Metabolomics Data Treatment: Basic Directions of the Full Process.Advances in experimental medicine and biology · 2021Article
- Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations.Analytical methods : advancing methods and applications · 2020Review
- Urinary Amine Metabolomics Characterization with Custom 12-Plex Isobaric DiLeu Labeling.Journal of the American Society for Mass Spectrometry · 2020Article
- NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data.Nucleic acids research · 2020Article
- Software tools, databases and resources in metabolomics: updates from 2018 to 2019.Metabolomics : Official journal of the Metabolomic Society · 2020Review
- Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation.Urine (Amsterdam, Netherlands) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Mass spectrometry-based stable isotope labeling provides the advantages of multiplexing capability and accurate quantification but requires tailored bioinformatics tools for data analysis. Despite the rapid advancements in analytical methodology, it is often challenging to analyze stable isotope labeling-based metabolomics data, particularly for isobaric labeling using MS/MS reporter ions for quantification. We report Metandem, a novel online software tool for isobaric labeling-based metabolomics, freely available at http://metandem.com/web/. Metandem provides a comprehensive data analysis pipeline integrating feature extraction, metabolite quantification, metabolite identification, batch processing of multiple data files, online parameter optimization for custom datasets, data normalization, and statistical analysis. Systematic evaluation of the Metandem tool was demonstrated on UPLC-MS/MS, nanoLC-MS/MS, CE-MS/MS and MALDI-MS platforms, via duplex, 4-plex, 10-plex, and 12-plex isobaric labeling experiments and the application to various biological samples.
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.