Data in Support of Online Affinity Micro Free-Flow Electrophoresis for the Continuous Monitoring of Insulin via a Competitive Immunoassay
Loading...
Persistent link to this item
Statistics
View StatisticsCollection Period
2024-01-01
2025-03-07
2025-03-07
Date Completed
2025-07-22
item.page.dateupdated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Published Date
Authors
Author Contact
Bowser, Michael
bowser@umn.edu
bowser@umn.edu
Abstract
An online, micro free-flow electrophoresis (µFFE) assay was developed for the real-time measurement of insulin in a continuous, competitive immunoassay. In the manuscript corresponding to this dataset, fluorescently labeled insulin and anti-insulin monoclonal antibody were mixed with the sample stream online and flowed through an incubation capillary into the µFFE device. Under an electric field, the bound antibody:insulin-FITC complex was separated from free insulin-FITC. When unlabeled insulin was introduced, labeled and unlabeled insulin competed for binding sites on the antibody, and the separated peaks of the bound complex and free insulin-FITC changed in real-time. Temporal resolution of 30 seconds was achieved following injections of unlabeled insulin, with a limit of detection of 63 nM and a linear response over the tested range of 50 nM to 1 µM insulin. To approximate an online cellular response, glucose-stimulated insulin secretion was collected offline from human islets and injected into the affinity µFFE instrument. A measurable change in insulin secretion was observed between samples exposed to low and high glucose, demonstrating sufficient limit of detection, linearity, the compatibility of the instrument with a complex biological matrix.
Description
Data files include MATLAB code, raw data (.csv) and processed data (.csv). The matlab code is used to process all raw data files (matrices) for generation of figures and extraction of linescans or post-processing matrices for further analysis. Raw data files are included for any experiment shown in the manuscript. These are titled "FigX_raw...". Separate files with already-extracted linescans and peak-heigh-over-time traces are included for any data shown in manuscript. These are titled "FigX_Extracted...".
Referenced by
Citation pending journal review
Series
Related to
item.page.isreplacedby
License
CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
http://creativecommons.org/publicdomain/zero/1.0/
Publisher
Collections
Funding Information
This research was funded by the National Institutes of Health (GM145956)
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested Citation
Burke, Gretchen; Bowser, Michael. (2025). Data in Support of Online Affinity Micro Free-Flow Electrophoresis for the Continuous Monitoring of Insulin via a Competitive Immunoassay. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/4xxz-ay41.
View/Download File
File View/Open
Description
Size
Readme.txt
Description of data
(12.11 KB)
AffinityuFFE_DataProcessing.mlx
Matlab code for data processing
(683.22 KB)
Figure_3.zip
Figure 3 raw and processed data
(8.2 MB)
Figure_4.zip
Figure 4 raw and processed data
(53.74 MB)
Figure_5.zip
Figure 5 raw and processed data
(9.24 MB)
Figure_6.zip
Figure 6 raw and processed data
(15.39 MB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.
