The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids
Open accessAbstract
SUMMARY To develop a map of cell-cell communication mediated by extracellular RNA, the NIH Extracellular RNA Communication Consortium created the exRNA Atlas resource (https://exrna-atlas.org). The Atlas version 4P1 hosts 5,309 exRNA-seq and exRNA qPCR profiles from 19 studies and a suite of analysis and visualization tools. To analyze variation between profiles, we apply computational deconvolution. The analysis leads to a model with six exRNA cargo types (CT1, CT2, CT3A, CT3B, CT3C, CT4), each detectable in multiple biofluids (serum, plasma, CSF, saliva, urine). Five of the cargo types associate with known vesicular and non-vesicular (lipoprotein and ribonucleoprotein) exRNA carriers. To validate utility of this model, we re-analyze an exercise response study by deconvolution to identify physiologically relevant response pathways that were not detected previously. To enable wide application of this model, as part of the exRNA Atlas resource, we provide tools for deconvolution and analysis of user-provided case-control studies.
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
(2008) · Journal of Machine Learning Research · Cited by 33,051
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288
Abdi, H., & Williams, L. J. (2010) · WIREs Computational Statistics · doi:10.1002/wics.101 · Cited by 11,104
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationSTRING v10: protein–protein interaction networks, integrated over the tree of life
Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1003 · Cited by 10,436
Universal sample preparation method for proteome analysis
Wiśniewski, J. R., Zougman, A., Nagaraj, N., & Mann, M. (2009) · Nature Methods · doi:10.1038/nmeth.1322 · Cited by 8,352
Cited by
RNA delivery by extracellular vesicles in mammalian cells and its applications
O’Brien, K., Breyne, K., Ughetto, S., Laurent, L. C., & Breakefield, X. O. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0251-y · Cited by 1,811
Self-citationExtracellular Vesicles and Nanoparticles: Emerging Complexities
Jeppesen, D. K., Zhang, Q., Franklin, J. L., & Coffey, R. J. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.01.002 · Cited by 705
Liquid biopsy in the clinical management of hepatocellular carcinoma
von Felden, J., Garcia-Lezana, T., Schulze, K., Losic, B., & Villanueva, A. (2020) · Gut · doi:10.1136/gutjnl-2019-320282 · Cited by 141
Ramirez-Garrastacho, M., Bajo-Santos, C., Line, A., Martens-Uzunova, E. S., de la Fuente, J. M., Moros, M., Soekmadji, C., Tasken, K. A., & Llorente, A. (2022) · British Journal of Cancer · doi:10.1038/s41416-021-01610-8 · Cited by 130
Elsayed, R., Elashiry, M., Liu, Y., El-Awady, A., Hamrick, M., & Cutler, C. W. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.669989 · Cited by 64
Metadata
- Authors
- Murillo, O. D., Thistlethwaite, W., Rozowsky, J., Subramanian, S. L., Lucero, R., Shah, N., Jackson, A. R., Srinivasan, S., Chung, A., Laurent, C. D., Kitchen, R. R., Galeev, T., Warrell, J., Diao, J. A., Welsh, J. A., Hanspers, K., Riutta, A., Burgstaller-Muehlbacher, S., Shah, R. V., Yeri, A., Jenkins, L. M., Ahsen, M. E., Cordon-Cardo, C., Dogra, N., Gifford, S. M., Smith, J. T., Stolovitzky, G., Tewari, A. K., Wunsch, B. H., Yadav, K. K., Danielson, K. M., Filant, J., Moeller, C., Nejad, P., Paul, A., Simonson, B., Wong, D. K., Zhang, X., Balaj, L., Gandhi, R., Sood, A. K., Alexander, R. P., Wang, L., Wu, C., Wong, D. T. W., Galas, D. J., Van Keuren-Jensen, K., Patel, T., Jones, J. C., Das, S., Cheung, K.-H., Pico, A. R., Su, A. I., Raffai, R. L., Laurent, L. C., Roth, M. E., Gerstein, M. B., & Milosavljevic, A.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 177
- Issue
- 2
- Pages
- 463-477.e15
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2931164250
- Cited by
- 298
- References
- 49
- FWCI
- 12.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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: exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids. https://app.cochat.ai/papers/10.1016/j.cell.2019.02.018
- The paper
- Murillo, O. D., Thistlethwaite, W., Rozowsky, J., Subramanian, S. L., Lucero, R., Shah, N., Jackson, A. R., Srinivasan, S., Chung, A., Laurent, C. D., Kitchen, R. R., Galeev, T., Warrell, J., Diao, J. A., Welsh, J. A., Hanspers, K., Riutta, A., Burgstaller-Muehlbacher, S., Shah, R. V., . . . Milosavljevic, A. (2019). exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids. Cell. https://doi.org/10.1016/j.cell.2019.02.018
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.