ArticlePloS one2020
Variability in protein cargo detection in technical and biological replicates of exosome-enriched extracellular vesicles.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed, 22 citations in OpenAlex.
- Biological Functions and Applications of Exosomes from Periodontal Ligament Stem Cells.Proteomes · 2026Review
- Therapeutic strategy for exosome-based bone regeneration to osteoporosis: Challenges and potential solutions.Journal of advanced research · 2026Review
- Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives.European journal of medical research · 2025Review
- Quantifying extracellular vesicle heterogeneity: the effect of process conditions on protein cargo for skin therapy.Stem cell research & therapy · 2025Review
- Defining Biological Variability, Analytical Precision and Quantitative Biophysiochemical Characterization of Human Urinary Extracellular Vesicles.Journal of extracellular vesicles · 2025Article
- Review
- Potential and challenges of utilizing exosomes in osteoarthritis therapy (Review).International journal of molecular medicine · 2025Review
- Characterisation of Matrix-Bound Nanovesicles (MBVs) Isolated from Decellularised Bovine Pericardium: New Frontiers in Regenerative Medicine.International journal of molecular sciences · 2024Article
- Exosomal Non-coding RNAs: A New Approach to Melanoma Diagnosis and Therapeutic Strategy.Current medicinal chemistry · 2024Review
- Characterisation of Colorectal Cancer Cell Lines through Proteomic Profiling of Their Extracellular Vesicles.Proteomes · 2023Article
- Proteomic Profiling of Extracellular Vesicles Released by Leptin-Treated Breast Cancer Cells: A Potential Role in Cancer Metabolism.International journal of molecular sciences · 2022Article
- Immunomodulatory effect of extracellular vesicles fromFrontiers in cellular and infection microbiology · 2022Article
- The synthesis of extracellular vesicles by the protistan parasiteFrontiers in cellular and infection microbiology · 2022Article
- Article
- Stability of Erythrocyte-Derived Nanovesicles Assessed by Light Scattering and Electron Microscopy.International journal of molecular sciences · 2021Article
- Review
- Separation, characterization, and standardization of extracellular vesicles for drug delivery applications.Advanced drug delivery reviews · 2021Review
- Comprehensive Proteomics Analysis of In Vitro Canine Oviductal Cell-Derived Extracellular Vesicles.Animals : an open access journal from MDPI · 2021Article
- Urinary Extracellular Vesicles Magic Particles for Biomarker Discovery.Advances in experimental medicine and biology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Exosomes are extracellular vesicles (EVs) of ~20-200 nm diameter that shuttle DNAs, RNAs, proteins and other biomolecules between cells. The large number of biomolecules present in exosomes demands the frequent use of high-throughput analysis. This, in turn, requires technical replicates (TRs), and biological replicates (BRs) to produce accurate results. As the number and abundance of identified biomolecules varies between replicates (Rs), establishing the replicate variability predicted for the event under study is essential in determining the number of Rs required. Although there have been few reports of replicate variability in high throughput biological data, none of them focused on exosomes. Herein, we determined the replicate variability in protein profiles found in exosomes released from 3 lung adenocarcinoma cell lines, H1993, A549 and H1975. Since exosome isolates are invariably contaminated by a small percentage of ~200-300 nm microvesicles, we refer to our samples as exosome-enriched EVs (EE-EVs). We generated BRs of EE-EVs from each cell line, and divided each group into 3 TRs. All Rs were analyzed by liquid chromatography/mass spectrometry (LC/MS/MS) and customized bioinformatics and biostatistical workflows (raw data available via ProteomeXchange: PXD012798). We found that the variability among TRs as well as BRs, was largely qualitative (protein present or absent) and higher among BRs. By contrast, the quantitative (protein abundance) variability was low, save for the H1975 cell line where the quantitative variability was significant. Importantly, our replicate strategy identified 90% of the most abundant proteins, thereby establishing the utility of our approach.
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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.