ArticleBBA advances2025
DANGO: An MS data annotation tool for glycolipidomics.
Article in BBA advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Listening to Cellular Whispers through Glycosphingolipids: A Comprehensive Review of Recent Advancements in Glycosphingolipid Analysis and Annotation.Analytical chemistry · 2026Review
- Analytical Approaches to the Rapid Characterisation of Marine Glycolipids in Bioproduct Discovery.Marine drugs · 2025Review
- Introduction to a special issue, "Expanded glycomics: A bridge over future glycomics".BBA advances · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Glycosphingolipids are essential components of all eukaryotic cells and play a major role in a broad range of cellular and biological processes, including growth, cell signaling, survival, differentiation, and disease. Glycosphingolipid structural diversity arises from heterogeneity in both the glycan and lipid moieties. Most currently available computational tools for annotating mass spectrometry data for glycosphingolipids primarily focus on glycan structure analysis, although a tool for annotating intact glycosphingolipids has recently been reported. Developing tools that integrate both glycan-centric analytical approaches and dynamic lipid composition changes, which influence functional membrane characteristics, would be highly beneficial. We have developed a glycosphingolipid computational tool, named DANGO (Data ANnotation system for GlycolipidOmics), for the automated annotation of glycolipidomic datasets. DANGO supports processing and annotation of mass spectrometry data to characterize both the glycan and lipid (ceramide) moieties (http://www.ms-dango.org/). DANGO annotates MS datasets using a glycosphingolipid database, which is created from a curated or user-defined glycan and ceramide collection, and proposes candidate structures to the user that match the experimental data. DANGO is implemented as an extension of GRITS Toolbox (http://www.grits-toolbox.org), employing functionalities such as display routines for post-processing and organized annotation of data and relevant metadata. Implementation of a novel filter algorithm in DANGO reduces false-positive identifications, resulting in enhanced reliability and shortened computational time for acquiring glycosphingolipid structural annotation. The labor-intensive manual annotation of mass spectrometry datasets has been the only approach to confident assignment of glycosphingolipid structural identity. DANGO provides intuitive workflows for enhancing the annotation of glycosphingolipidomic data.
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.