ReviewInternational journal of molecular sciences2020
Multi-Omics Data Integration in Extracellular Vesicle Biology-Utopia or Future Reality?
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Seminal Plasma and Extracellular Vesicles as Molecular Gatekeepers: Oxidative Stress, Endocrine Crosstalk, and Biomarker Discovery in Male Infertility.Current issues in molecular biology · 2026Review
- Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology.Journal of nanobiotechnology · 2026Review
- Unlocking the power of extracellular vesicles: multi-omics integration for cancer biomarker discovery.Biomarker research · 2026Review
- Advanced Technologies in Extracellular Vesicle Biosensing: Platforms, Standardization, and Clinical Translation.Molecules (Basel, Switzerland) · 2026Review
- Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy.Frontiers in immunology · 2026Review
- Integrating mass spectrometry-based multi-omic signatures of extracellular vesicles: from discovery to clinical translation.Clinical & translational immunology · 2026Review
- Neutrophil-derived extracellular vesicles in the plasma of alpha-1 antitrypsin deficient individuals reveal pro-inflammatory metabolic and transcriptomic signatures.Extracellular vesicle · 2025Article
- Plasma-Derived Extracellular Vesicle Proteomics.Journal of proteome research · 2025Review
- Sending the Signal to Bone: How Tumor-Derived EVs Orchestrate Pre-Metastatic Niche Formation and Skeletal Colonization.Biomedicines · 2025Review
- Exosome: an overview on enhanced biogenesis by small molecules.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Emerging Strategies for Revascularization: Use of Cell-Derived Extracellular Vesicles and Artificial Nanovesicles in Critical Limb Ischemia.Bioengineering (Basel, Switzerland) · 2025Review
- The emerging role of extracellular vesicles in viral transmission and immune evasion.Frontiers in immunology · 2025Review
- Unveiling the dynamic trends of plant-derived exosome nanovesicles-based theranostics: through bibliometric and visualized analysis.Frontiers in medicine · 2025Article
- Metabolic Tagging Technology of Exosomes-An Updated Review.Current pharmaceutical design · 2025Review
- Extracellular vesicles in cardiovascular diseases: pathogenic mediators, diagnostic tools, and therapeutic vectors.Frontiers in cardiovascular medicine · 2025Review
- Extracellular Vesicles: Advanced Tools for Disease Diagnosis, Monitoring, and Therapies.International journal of molecular sciences · 2024Review
- Precision Oncology: Circulating Microvesicles as New Biomarkers in a Very Early Stage of Colorectal Cancer.Cancers · 2024Article
- Clinical Impact of Multi-omics profiling of extracellular vesicles in cancer Liquid Biopsy.The journal of liquid biopsy · 2024Article
- Engineering extracellular vesicles for targeted therapeutics in cardiovascular disease.Frontiers in cardiovascular medicine · 2024Review
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
Extracellular vesicles (EVs) are membranous structures derived from the endosomal system or generated by plasma membrane shedding. Due to their composition of DNA, RNA, proteins, and lipids, EVs have garnered a lot of attention as an essential mechanism of cell-to-cell communication, with various implications in physiological and pathological processes. EVs are not only a highly heterogeneous population by means of size and biogenesis, but they are also a source of diverse, functionally rich biomolecules. Recent advances in high-throughput processing of biological samples have facilitated the development of databases comprised of characteristic genomic, transcriptomic, proteomic, metabolomic, and lipidomic profiles for EV cargo. Despite the in-depth approach used to map functional molecules in EV-mediated cellular cross-talk, few integrative methods have been applied to analyze the molecular interplay in these targeted delivery systems. New perspectives arise from the field of systems biology, where accounting for heterogeneity may lead to finding patterns in an apparently random pool of data. In this review, we map the biological and methodological causes of heterogeneity in EV multi-omics data and present current applications or possible statistical methods for integrating such data while keeping track of the current bottlenecks in the field.
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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.