Work

Proteomic Profiling Allows Unbiased Compositional Analysis of Extracellular Vesicle Subtypes

Year: 2020

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.3516102

Authors: Lorena Martin-Jaular, Nathalie Nevo, Mercedes Tkach, Mabel Jouve, Florent Dingli, Damarys Loew, Kenneth W. Witwer, Matias Ostrowski, Georg H. H. Borner, Clotilde Théry

Institutions: Université Paris Sciences et Lettres, Institut Curie, Johns Hopkins University, Universidad de Buenos Aires, Instituto de Investigaciones Biomédicas en Retrovirus y Sida, Max Planck Society, Max Planck Institute of Biochemistry

Language: English

Topic: Extracellular vesicles in disease

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3004827004

Cites:

Cited by: 2

Related to: 10