ArticleThe Analyst2020
Structural-based connectivity and omic phenotype evaluations (SCOPE): a cheminformatics toolbox for investigating lipidomic changes in complex systems.
Article in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Importance of Lipidomic Approach for Mapping and Exploring the Molecular Networks Underlying Physical Exercise: A Systematic Review.International journal of molecular sciences · 2021Pooled it
- The Lipidome of the Lateral Ventricle Choroid Plexus Exhibits Sex-Specific Changes Across Aging.Journal of neurochemistry · 2025Article
- Lipidomics Reveals Cell Specific Changes During Pluripotent Differentiation to Neural and Mesodermal Lineages.bioRxiv : the preprint server for biology · 2025Article
- Conditional knockout of C/EBPβ in epidermis results in dysregulated lipid biosynthesis and a defect in skin barrier function.PloS one · 2025Article
- Streamlining Phenotype Classification and Highlighting Feature Candidates: A Screening Method for Non-Targeted Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS) Data.Analytical chemistry · 2024Article
- Elucidating the role of lipid interactions in stabilizing the membrane protein KcsA.Biophysical journal · 2024Article
- Deciphering ApoE Genotype-Driven Proteomic and Lipidomic Alterations in Alzheimer's Disease Across Distinct Brain Regions.Journal of proteome research · 2024Article
- Lipidomics Profiling Reveals Differential Alterations after FAS Inhibition in 3D Colon Cancer Cell Culture Models.Journal of proteome research · 2024Article
- Investigating mouse hepatic lipidome dysregulation following exposure to emerging per- and polyfluoroalkyl substances (PFAS).Chemosphere · 2024Article
- From big data to big insights: statistical and bioinformatic approaches for exploring the lipidome.Analytical and bioanalytical chemistry · 2024Review
- Guided optimization of ToxPi model weights using a Semi-Automated approach.Computational toxicology (Amsterdam, Netherlands) · 2024Article
- MOCCal: A Multiomic CCS Calibrator for Traveling Wave Ion Mobility Mass Spectrometry.Analytical chemistry · 2024Article
- Do Nanodisc Assembly Conditions Affect Natural Lipid Uptake?Journal of the American Society for Mass Spectrometry · 2023Article
- Combining native mass spectrometry and lipidomics to uncover specific membrane protein-lipid interactions from natural lipid sources.Chemical science · 2023Article
- Impacts of Gestational FireMaster 550 Exposure on the Neonatal Cortex Are Sex Specific and Largely Attributable to the Organophosphate Esters.Neuroendocrinology · 2023Article
- ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS.Journal of exposure science & environmental epidemiology · 2022Article
- Lipidomic comparison of 2D and 3D colon cancer cell culture models.Journal of mass spectrometry : JMS · 2022Article
- Combining Micropunch Histology and Multidimensional Lipidomic Measurements for In-Depth Tissue Mapping.ACS measurement science au · 2022Article
- From Prevention to Disease Perturbations: A Multi-Omic Assessment of Exercise and Myocardial Infarctions.Biomolecules · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Since its inception, the main goal of the lipidomics field has been to characterize lipid species and their respective biological roles. However, difficulties in both full speciation and biological interpretation have rendered these objectives extremely challenging and as a result, limited our understanding of lipid mechanisms and dysregulation. While mass spectrometry-based advancements have significantly increased the ability to identify lipid species, less progress has been made surrounding biological interpretations. We have therefore developed a Structural-based Connectivity and Omic Phenotype Evaluations (SCOPE) cheminformatics toolbox to aid in these evaluations. SCOPE enables the assessment and visualization of two main lipidomic associations: structure/biological connections and metadata linkages either separately or in tandem. To assess structure and biological relationships, SCOPE utilizes key lipid structural moieties such as head group and fatty acyl composition and links them to their respective biological relationships through hierarchical clustering and grouped heatmaps. Metadata arising from phenotypic and environmental factors such as age and diet is then correlated with the lipid structures and/or biological relationships, utilizing Toxicological Prioritization Index (ToxPi) software. Here, SCOPE is demonstrated for various applications from environmental studies to clinical assessments to showcase new biological connections not previously observed with other techniques.
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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.