| Title: |
exRNA Atlas Analysis Reveals Distinct Extracellular RNA Cargo Types and Their Carriers Present across Human Biofluids. |
| Authors: |
Murillo, Oscar D; Murillo, Oscar D; Thistlethwaite, William; Rozowsky, Joel; Subramanian, Sai Lakshmi; Lucero, Rocco; Shah, Neethu; Jackson, Andrew R; Srinivasan, Srimeenakshi; Chung, Allen; Laurent, Clara D; Kitchen, Robert R; Galeev, Timur; Warrell, Jonathan; Diao, James A; Welsh, Joshua A; Hanspers, Kristina; Riutta, Anders; Burgstaller-Muehlbacher, Sebastian; Shah, Ravi V; Yeri, Ashish; Jenkins, Lisa M; Ahsen, Mehmet E; Cordon-Cardo, Carlos; Dogra, Navneet; Gifford, Stacey M; Smith, Joshua T; Stolovitzky, Gustavo; Tewari, Ashutosh K; Wunsch, Benjamin H; Yadav, Kamlesh K; Danielson, Kirsty M; Filant, Justyna; Moeller, Courtney; Nejad, Parham; Paul, Anu; Simonson, Bridget; Wong, David K; Zhang, Xuan; Balaj, Leonora; Gandhi, Roopali; Sood, Anil K; Alexander, Roger P; Wang, Liang; Wu, Chunlei; Wong, David TW; Galas, David J; Van Keuren-Jensen, Kendall; Patel, Tushar; Jones, Jennifer C; Das, Saumya; Cheung, Kei-Hoi; Pico, Alexander R; Su, Andrew I; Raffai, Robert L; Laurent, Louise C; Roth, Matthew E; Gerstein, Mark B; Milosavljevic, Aleksandar |
| Source: |
Cell; vol 177, iss 2, 463-477.e15; 0092-8674 |
| Publisher Information: |
eScholarship, University of California 2019-04-01 |
| Document Type: |
Electronic Resource |
| Abstract: |
To develop a map of cell-cell communication mediated by extracellular RNA (exRNA), 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. |
| Index Terms: |
Body Fluids; Humans; RNA; Reproducibility of Results; Sequence Analysis; Cell Communication; Software; Adult; Female; Male; Extracellular Vesicles; Cell-Free Nucleic Acids; Circulating MicroRNA; ERCC; deconvolution; exRNA; exosomes; extracellular RNA; extracellular vesicles; lipoproteins; ribonucleoproteins; Human Genome; Genetics; Biotechnology; Biological Sciences; Medical and Health Sciences; Developmental Biology; article |
| URL: |
https://escholarship.org/uc/item/96q5s1gm; https://escholarship.org/ |
| Availability: |
Open access content. Open access content; public |
| Note: |
application/pdf; Cell vol 177, iss 2, 463-477.e15 0092-8674 |
| Other Numbers: |
CDLER oai:escholarship.org:ark:/13030/qt96q5s1gm; qt96q5s1gm; https://escholarship.org/uc/item/96q5s1gm; https://escholarship.org/; 1287330804 |
| Contributing Source: |
UC MASS DIGITIZATION; From OAIster®, provided by the OCLC Cooperative. |
| Accession Number: |
edsoai.on1287330804 |
| Database: |
OAIster |