Evidence map›Paper›PMID 37285317›Full record

ArticleBioinformatics (Oxford, England)2023

The NanoFlow Repository.

Jessie E Arce, Joshua A Welsh, Sean Cook, John Tigges, Ionita Ghiran, Jennifer C Jones, Andrew Jackson, Matthew Roth, Aleksandar Milosavljevic

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jessie E ArceDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.ORCID 0000-0001-8750-9579
Joshua A WelshTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
Sean CookTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
John TiggesDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States.
Ionita GhiranDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States.
Jennifer C JonesTranslational Nanobiology Section, Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, United States.
Andrew JacksonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
Matthew RothDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.
Aleksandar MilosavljevicDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.

Funding

Development and use of nanoFACS for analysis and sorting of nanoparticlesZIABC011502 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2013 to 2025
$8.6M
Scientific Outreach ComponentU54DA049098 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI GALAS, DAVID J., GERSTEIN, MARK BENDER · 2019 to 2022
$5.0M
Integrative, multi-parametric characterization of the EV surface protein and nucleic acid landscape by nano-flow and sorting cytometryUH3TR002881 · NCATS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GHIRAN, IONITA CALIN, JONES, JENNIFER · 2021 to 2022
$1.9M
Translational Nanobiology Approaches to Viral Diseases (HIV, HTLV, SARS-CoV2)ZIABC011942 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2020 to 2025
$909k
Identification of Specific Macromolecular Complexes in Liquid BiopsiesZIABC012107 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI JONES, JENNIFER · 2022 to 2025
$339k
NCATS NIH HHS UH3 TR002881NIDA NIH HHS U54 DA049098
6 · The paper itself

Abstract

motivationExtracellular 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.

resultsWe have developed The NanoFlow Repository to provide the first implementation of the MIFlowCyt-EV framework. AVAILABILITY AND IMPLEMENTATION: 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's 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's 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.

Indexed as

SoftwareDatabases, FactualFlow Cytometry

Identifiers

PMID37285317
PMCPMC10272702

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.