Your browser doesn't support javascript.
loading
Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop.
Alexander, Roger P; Kitchen, Robert R; Tosar, Juan Pablo; Roth, Matthew; Mestdagh, Pieter; Max, Klaas E A; Rozowsky, Joel; Kaczor-Urbanowicz, Karolina Elzbieta; Chang, Justin; Balaj, Leonora; Losic, Bojan; Van Nostrand, Eric L; LaPlante, Emily; Mateescu, Bogdan; White, Brian S; Yu, Rongshan; Milosavljevic, Aleksander; Stolovitzky, Gustavo; Spengler, Ryan M.
Affiliation
  • Alexander RP; Extracellular RNA Communication Consortium, Phoenix, AZ, United States.
  • Kitchen RR; Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
  • Tosar JP; Pasteur Institute of Montevideo and University of the Republic of Uruguay, Montevideo, Uruguay.
  • Roth M; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.
  • Mestdagh P; Center for Medical Genetics, Department of Biomolecular Medicine, Cancer Research Institute Ghent (CRIG), Ghent University, Ghent, Belgium.
  • Max KEA; Laboratory of RNA Molecular Biology, Rockefeller University, New York, NY, United States.
  • Rozowsky J; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States.
  • Kaczor-Urbanowicz KE; School of Dentistry, University of California, Los Angeles, Los Angeles, CA, United States.
  • Chang J; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States.
  • Balaj L; Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Losic B; Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Van Nostrand EL; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX, United States.
  • LaPlante E; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.
  • Mateescu B; Brain Research Institute, University of Zurich, Zurich, Switzerland.
  • White BS; Jackson Laboratory, Bar Harbor, ME, United States.
  • Yu R; Department of Computer Science, Xiamen University, Aginome Scientific, Ltd., Xiamen, China.
  • Milosavljevic A; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.
  • Stolovitzky G; IBM T.J. Watson Research Center, Yorktown Heights, NY, United States.
  • Spengler RM; School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States.
Front Genet ; 12: 778416, 2021.
Article de En | MEDLINE | ID: mdl-35047007
ABSTRACT
We now know RNA can survive the harsh environment of biofluids when encapsulated in vesicles or by associating with lipoproteins or RNA binding proteins. These extracellular RNA (exRNA) play a role in intercellular signaling, serve as biomarkers of disease, and form the basis of new strategies for disease treatment. The Extracellular RNA Communication Consortium (ERCC) hosted a two-day online workshop (April 19-20, 2021) on the unique challenges of exRNA data analysis. The goal was to foster an open dialog about best practices and discuss open problems in the field, focusing initially on small exRNA sequencing data. Video recordings of workshop presentations and discussions are available (https//exRNA.org/exRNAdata2021-videos/). There were three target audiences experimentalists who generate exRNA sequencing data, computational and data scientists who work with those groups to analyze their data, and experimental and data scientists new to the field. Here we summarize issues explored during the workshop, including progress on an effort to develop an exRNA data analysis challenge to engage the community in solving some of these open problems.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Guideline Langue: En Journal: Front Genet Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Guideline Langue: En Journal: Front Genet Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique