Culture Condition of Bone Marrow Stromal Cells Affects Quantity and Quality of the Extracellular Vesicles
UMB Dataset
UID: 210
Author(s):
Amanda L. Scheiber,
Cierra A. Clark,
Takashi Kaito,
Masahiro Iwamoto,
Edwin M. Horwitz,
Yuka Imamura Kawasawa,
Satoru Otsuru** Corresponding Author
Description
Extracellular vehicles (EVs) released from bone marrow stromal cells (BMSCs) have been demonstrated to play an important role in their therapeutic actions for various diseases. This study establishes a scalable and reproducible EV manufacturing processes needed to develop successful implementation of EV therapy for patients. Using human BMSCs isolated from nine healthy donors, researchers examined the effects of high-performance culture media that can rapidly expand BMSCs on EV production and quality in comparison with the conventional culture medium.
Benchtop high-performance cell sorter with multiple lazer, detector and fluoroscrome options. Allows detection of 12 parameters (10 color conjugates, forward and sideward scatter).
Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.
Conversion software that both demultiplexes data and converts BCL files generated by Illumina sequencing systems to standard FASTQ file formats for downstream analysis.
Utilizes the properties of both light scattering and Brownian motion in order to obtain the nanoparticle size distribution of samples in liquid suspension.
Quickly visualize and understand complex ‘omics data and perform insightful data analysis and interpretation by placing your experimental results within the context of biological systems.
Study Type
Interventional
Dataset Format(s)
CSV, SOFT, TXT, MINiML
Data Collection Instruments
Benjamini–Hochberg method
unpaired two-tailed t-test
One-Way ANOVA
Two-Way ANOVA
Tukey's multiple comparison test
Dataset Size
21.9 KB
Grant Support
2018-MSCRFD-4331/Maryland Stem Cell Research Fund
R21AR077654/NIAMS
R01AR075733/NIAMS
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