ArticleCell reports2019
Physical and Molecular Landscapes of Mouse Glioma Extracellular Vesicles Define Heterogeneity.
Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 64 citations in OpenAlex.
- Metagenomic Data Preprocessing and Quality Control.Methods in molecular biology (Clifton, N.J.) · 2026Article
- New insights into extracellular vesicles in metastatic cancer: From mechanisms to diagnostics and targeted therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Heterogeneity of Extracellular Vesicles and Non-Vesicular Nanoparticles in Glioblastoma.Journal of extracellular vesicles · 2025Article
- Review
- Unlocking the therapeutic potential of tumor-derived EVs in ischemia-reperfusion: a breakthrough perspective from glioma and stroke.Journal of neuroinflammation · 2025Review
- Deciphering the role of tRNA-derived fragments in neurological and psychiatric disease pathogenesis.Frontiers in cellular neuroscience · 2025Review
- Review
- Approaches and Challenges in Characterizing the Molecular Content of Extracellular Vesicles for Biomarker Discovery.Biomolecules · 2024Review
- Recent advances in chemical biology tools for protein and RNA profiling of extracellular vesicles.RSC chemical biology · 2024Review
- TCTP regulates genotoxic stress and tumorigenicity via intercellular vesicular signaling.EMBO reports · 2024Article
- Correlation between membrane proteins and sizes of extracellular vesicles and particles: A potential signature for cancer diagnosis.Journal of extracellular vesicles · 2023Article
- Article
- Challenges for Studying and Isolating Extracellular Vesicles from Cell-Conditioned Media.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Strategies, considerations, and recent advancements in the development of liquid biopsy for glioblastoma: a step towards individualized medicine in glioblastoma.Neurosurgical focus · 2022Review
- Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods.Biomolecules · 2022Article
- Proteomics of Extracellular Vesicle in Glioblastoma.Brain tumor research and treatment · 2022Review
- Extracellular Vesicles and Their Emerging Roles as Cellular Messengers in Endocrinology: An Endocrine Society Scientific Statement.Endocrine reviews · 2022Article
- A Novel Extracellular Matrix Gene-Based Prognostic Model to Predict Overall Survive in Patients With Glioblastoma.Frontiers in genetics · 2022Article
- Review
- Quantitative proteomic analysis of extracellular vesicle subgroups isolated by an optimized method combining polymer-based precipitation and size exclusion chromatography.Journal of extracellular vesicles · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
Cancer extracellular vesicles (EVs) are highly heterogeneous, which impedes our understanding of their function as intercellular communication agents and biomarkers. To deconstruct this heterogeneity, we analyzed extracellular RNAs (exRNAs) and extracellular proteins (exPTNs) from size fractionation of large, medium, and small EVs and ribonucleoprotein complexes (RNPs) from mouse glioblastoma cells by RNA sequencing and quantitative proteomics. mRNA from medium-sized EVs most closely reflects the cellular transcriptome, whereas small EV exRNA is enriched in small non-coding RNAs and RNPs contain precisely processed tRNA fragments. The exPTN composition of EVs and RNPs reveals that they are closely related by vesicle type, independent of their cellular origin, and single EV analysis reveals that small EVs are less heterogeneous in their protein content than larger ones. We provide a foundation for better understanding of segregation of macromolecules in glioma EVs through a catalog of diverse exRNAs and exPTNs.
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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.