{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:04:39Z","timestamp":1773428679407,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T00:00:00Z","timestamp":1686096000000},"content-version":"vor","delay-in-days":6,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Extracellular particles (EPs) are the focus of a rapidly growing area of exploration due to the widespread interest in understanding their roles in health and disease. However, despite the general need for EP data sharing and established community standards for data reporting, no standard repository for EP flow cytometry data captures rigor and minimum reporting standards such as those defined by MIFlowCyt-EV (https:\/\/doi.org\/10.1080\/20013078.2020.1713526). We sought to address this unmet need by developing the NanoFlow Repository.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We have developed The NanoFlow Repository to provide the first implementation of the MIFlowCyt-EV framework.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The NanoFlow Repository is freely available and accessible online at https:\/\/genboree.org\/nano-ui\/. Public datasets can be explored and downloaded at https:\/\/genboree.org\/nano-ui\/ld\/datasets. The NanoFlow Repository\u2019s backend is built using the Genboree software stack that powers the ClinGen Resource, specifically the Linked Data Hub (LDH), a REST API framework written in Node.js, developed initially to aggregate data within ClinGen (https:\/\/ldh.clinicalgenome.org\/ldh\/ui\/about). NanoFlow\u2019s LDH (NanoAPI) is available at https:\/\/genboree.org\/nano-api\/srvc. NanoAPI is supported by a Node.js Genboree authentication and authorization service (GbAuth), a graph database called ArangoDB, and an Apache Pulsar message queue (NanoMQ) to manage data inflows into NanoAPI. The website for NanoFlow Repository is built with Vue.js and Node.js (NanoUI) and supports all major browsers.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad368","type":"journal-article","created":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T01:02:54Z","timestamp":1686186174000},"source":"Crossref","is-referenced-by-count":4,"title":["The NanoFlow Repository"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8750-9579","authenticated-orcid":false,"given":"Jessie E","family":"Arce","sequence":"first","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030, United States"}]},{"given":"Joshua A","family":"Welsh","sequence":"additional","affiliation":[{"name":"Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health , Bethesda, MD 20892, United States"}]},{"given":"Sean","family":"Cook","sequence":"additional","affiliation":[{"name":"Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health , Bethesda, MD 20892, United States"}]},{"given":"John","family":"Tigges","sequence":"additional","affiliation":[{"name":"Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School , Boston, MA 02215, United States"}]},{"given":"Ionita","family":"Ghiran","sequence":"additional","affiliation":[{"name":"Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School , Boston, MA 02215, United States"}]},{"given":"Jennifer C","family":"Jones","sequence":"additional","affiliation":[{"name":"Translational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health , Bethesda, MD 20892, United States"}]},{"given":"Andrew","family":"Jackson","sequence":"additional","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030, United States"}]},{"given":"Matthew","family":"Roth","sequence":"additional","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030, United States"}]},{"given":"Aleksandar","family":"Milosavljevic","sequence":"additional","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030, United States"}]}],"member":"286","published-online":{"date-parts":[[2023,6,7]]},"reference":[{"key":"2023061606250803800_btad368-B1","doi-asserted-by":"crossref","first-page":"27493","DOI":"10.3402\/jev.v4.27493","article-title":"The NIH extracellular RNA communication consortium","volume":"4","author":"Ainsztein","year":"2015","journal-title":"J Extracell 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