The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Identification of exosome-like nanoparticle-derived microRNAs from 11 edible fruits and vegetables
Open accessAbstract
Edible plant-derived exosome-like nanoparticles (EPDELNs) are novel naturally occurring plant ultrastructures that are structurally similar to exosomes. Many EPDELNs have anti-inflammatory properties. MicroRNAs (miRNAs) play a critical role in mediating physiological and pathological processes in animals and plants. Although miRNAs can be selectively encapsulated in extracellular vesicles, little is known about their expression and function in EPDELNs. In this study, we isolated nanovesicles from 11 edible fruits and vegetables and subjected the corresponding EPDELN small RNA libraries to Illumina sequencing. We identified a total of 418 miRNAs—32 to 127 per species—from the 11 EPDELN samples. Target prediction and functional analyses revealed that highly expressed miRNAs were closely associated with the inflammatory response and cancer-related pathways. The 418 miRNAs could be divided into three classes according to their EPDELN distributions: 26 “frequent” miRNAs (FMs), 39 “moderately present” miRNAs (MPMs), and 353 “rare” miRNAs (RMs). FMs were represented by fewer miRNA species than RMs but had a significantly higher cumulative expression level. Taken together, our in vitro results indicate that miRNAs in EPDELNs have the potential to regulate human mRNA.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
MicroRNA signatures in human cancers
Calin, G. A., & Croce, C. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1997 · Cited by 7,590
Exosomes: composition, biogenesis and function
Théry, C., Zitvogel, L., & Amigorena, S. (2002) · Nature Reviews Immunology · doi:10.1038/nri855 · Cited by 5,346
The Versatile Role of microRNA-30a in Human Cancer
Wang, C., Yang, X., Chen, Y., & Chen, L. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000471111 · Cited by 3,409
Chemical studies of anthocyanins: A review
Castañeda-Ovando, A., Pacheco-Hernández, M. D. L., Páez-Hernández, M. E., Rodríguez, J. A., & Galán-Vidal, C. A. (2009) · Food Chemistry · doi:10.1016/j.foodchem.2008.09.001 · Cited by 2,552
Novel and Stress-Regulated MicroRNAs and Other Small RNAs from Arabidopsis[W]
Sunkar, R., & Zhu, J.-K. (2004) · The Plant Cell · doi:10.1105/tpc.104.022830 · Cited by 1,935
Auxin-responsive gene expression: genes, promoters and regulatory factors
Hagen, G., & Guilfoyle, T. (2002) · Plant Molecular Biology · doi:10.1023/a:1015207114117 · Cited by 1,262
Cited by
Exosomes and Exosome-Inspired Vesicles for Targeted Drug Delivery
Antimisiaris, S. G., Mourtas, S., & Marazioti, A. (2018) · doi:10.20944/preprints201810.0507.v1 · Cited by 605
Alzahrani, F. A., Khan, M. I., Kameli, N., Alsahafi, E., & Riza, Y. M. (2023) · Biomolecules · doi:10.3390/biom13050839 · Cited by 143
“The most important and well-studied of these exosomal cargo loads is miRNAs, which are short non-coding RNAs of an average size of about 22 nucleotides (nt), capable of regulating gene expression by specifically binding and inhibiting translation function or cleaving of target mRNAs [20].”
BackgroundPlant-Derived Nanovesicles: Further Exploration of Biomedical Function and Application Potential
Li, A., Li, D., Gu, Y., Liu, R., Tang, X., Zhao, Y., Qi, F., Wei, J., & Liu, J. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.12.022 · Cited by 137
The Therapeutic Potential and Clinical Significance of Exosomes as Carriers of Drug Delivery System
Li, T., Li, X., Han, G., Liang, M., Yang, Z., Zhang, C., Huang, S., Tai, S., & Yu, S. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics15010021 · Cited by 110
Self-citationFarley, J. T., Eldahshoury, M. K., & de Marcos Lousa, C. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.883841 · Cited by 23
Metadata
- Authors
- Xiao, J., Feng, S., Wang, X., Long, K., Luo, Y., Wang, Y., Ma, J., Tang, Q., Jin, L., Li, X., & Li, M.
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2018-07-31
- Volume
- 6
- Pages
- e5186
- ISSN
- 2167-8359 (ISSN-L)
- OpenAlex
- W2885833309
- Cited by
- 325
- References
- 61
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Identification of exosome-like nanoparticle-derived microRNAs from 11 edible fruits and vegetables. https://app.cochat.ai/papers/10.7717/peerj.5186
- The paper
- Xiao, J., Feng, S., Wang, X., Long, K., Luo, Y., Wang, Y., Ma, J., Tang, Q., Jin, L., Li, X., & Li, M. (2018). Identification of exosome-like nanoparticle-derived microRNAs from 11 edible fruits and vegetables. PeerJ. https://doi.org/10.7717/peerj.5186
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.