ReviewClinical chemistry2016
Systems-Wide High-Dimensional Data Acquisition and Informatics Using Structural Mass Spectrometry Strategies.
Review in Clinical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 26 citations in OpenAlex.
- Why PNI scientists need to engage in exploratory hypothesis-generating biomarker studies.Brain, behavior, & immunity - health · 2024Article
- A State-of-the-Science Review on High-Resolution Metabolomics Application in Air Pollution Health Research: Current Progress, Analytical Challenges, and Recommendations for Future Direction.Environmental health perspectives · 2023Review
- Collision Cross-Section Calibration Strategy for Lipid Measurements in SLIM-Based High-Resolution Ion Mobility.Journal of the American Society for Mass Spectrometry · 2022Article
- Insights and prospects for ion mobility-mass spectrometry in clinical chemistry.Expert review of proteomics · 2022Article
- Multidimensional Separations of Intact Phase II Steroid Metabolites Utilizing LC-Ion Mobility-HRMS.Analytical chemistry · 2021Article
- Chlorpyrifos Disrupts Acetylcholine Metabolism Across Model Blood-Brain Barrier.Frontiers in bioengineering and biotechnology · 2021Article
- Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.Analytical chemistry · 2020Article
- Translational Roadmap for the Organs-on-a-Chip Industry toward Broad Adoption.Bioengineering (Basel, Switzerland) · 2020Review
- Chemical Class Prediction of Unknown Biomolecules Using Ion Mobility-Mass Spectrometry and Machine Learning: Supervised Inference of Feature Taxonomy from Ensemble Randomization.Analytical chemistry · 2020Article
- Collision Cross Section Conformational Analyses of Bile Acids via Ion Mobility-Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2020Article
- Utilizing Untargeted Ion Mobility-Mass Spectrometry To Profile Changes in the Gut Metabolome Following Biliary Diversion Surgery.Analytical chemistry · 2019Article
- Advances in metabolome information retrieval: turning chemistry into biology. Part I: analytical chemistry of the metabolome.Journal of inherited metabolic disease · 2018Review
- Ion Mobility Collision Cross Section Compendium.Analytical chemistry · 2017Review
- Metabolic consequences of inflammatory disruption of the blood-brain barrier in an organ-on-chip model of the human neurovascular unit.Journal of neuroinflammation · 2016Article
- Untargeted Metabolomics Strategies-Challenges and Emerging Directions.Journal of the American Society for Mass Spectrometry · 2016Review
- Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic Era.International journal of molecular sciences · 2016Review
- Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge.Annual review of analytical chemistry (Palo Alto, Calif.) · 2016Article
- Targeting the untargeted in molecular phenomics with structurally-selective ion mobility-mass spectrometry.Current opinion in biotechnology · 2016Review
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 at 2 institutions in 1 country.
Funding
Abstract
backgroundUntargeted multiomics data sets are obtained for samples in systems, synthetic, and chemical biology by integrating chromatographic separations with ion mobility-mass spectrometry (IM-MS) analysis. The data sets are interrogated using bioinformatics strategies to organize the data for identification prioritization. CONTENT: The use of big data approaches for data mining of massive data sets in systems-wide analyses is presented. Untargeted biological data across multiomics dimensions are obtained using a variety of chromatography strategies with structural MS. Separation timescales for different techniques and the resulting data deluge when combined with IM-MS are presented. Data mining self-organizing map strategies are used to rapidly filter the data, highlighting those features describing uniqueness to the query. Examples are provided in longitudinal analyses in synthetic biology and human liver exposure to acetaminophen, and in chemical biology for natural product discovery from bacterial biomes.
conclusionsMatching the separation timescales of different forms of chromatography with IM-MS provides sufficient multiomics selectivity to perform untargeted systems-wide analyses. New data mining strategies provide a means for rapidly interrogating these data sets for feature prioritization and discovery in a range of applications in systems, synthetic, and chemical biology.
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.