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Related Experiment Video

Updated: Jul 27, 2025

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

The NanoFlow Repository.

Jessie E Arce¹, Joshua A Welsh², Sean Cook²

¹Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States.

Bioinformatics (Oxford, England)

|June 7, 2023

Summary

This summary is machine-generated.

A new repository, NanoFlow, has been developed to standardize extracellular particle (EP) flow cytometry data sharing. This repository implements the MIFlowCyt-EV framework, addressing a critical need for rigorous data reporting in EP research.

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Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry

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Published on: December 12, 2013

Area of Science:

Extracellular vesicle (EV) research
Flow cytometry data analysis
Bioinformatics and data management

Background:

Extracellular particles (EPs) play crucial roles in health and disease, necessitating robust data sharing.
Existing data sharing practices for EP flow cytometry data lack standardized rigor and minimum reporting standards.
The MIFlowCyt-EV framework was established to guide minimum information for flow cytometry data of EVs.

Purpose of the Study:

To address the unmet need for a standardized repository for extracellular particle (EP) flow cytometry data.
To develop and implement the first repository adhering to the MIFlowCyt-EV framework.
To facilitate rigorous data reporting and sharing in the field of EP research.

Main Methods:

Development of the NanoFlow Repository, a novel platform for EP flow cytometry data.
Implementation of the MIFlowCyt-EV framework within the repository's architecture.
Utilizing the Genboree software stack, including Linked Data Hub (LDH), Node.js, ArangoDB, and Apache Pulsar for backend infrastructure.

Main Results:

The NanoFlow Repository has been successfully developed and implemented.
It serves as the first repository to provide a practical application of the MIFlowCyt-EV framework.
The repository offers freely accessible online resources for exploring and downloading public datasets.

Conclusions:

The NanoFlow Repository provides a much-needed standardized platform for EP flow cytometry data.
Its adherence to MIFlowCyt-EV standards enhances data rigor and comparability.
This resource will significantly advance the field of extracellular particle research through improved data sharing and accessibility.