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Spatially-defined quantitative interleukin 6 (IL-6) detection using polyethylene glycol microgel sensors (μGELISA)
Ryoo, Hyeon
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https://hdl.handle.net/2142/115420
Description
- Title
- Spatially-defined quantitative interleukin 6 (IL-6) detection using polyethylene glycol microgel sensors (μGELISA)
- Author(s)
- Ryoo, Hyeon
- Issue Date
- 2022-04-25
- Director of Research (if dissertation) or Advisor (if thesis)
- Underhill, Gregory H
- Department of Study
- Bioengineering
- Discipline
- Bioengineering
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Keyword(s)
- Microgel
- Sensor
- Granular hydrogel
- IL-6
- 3D Cell Culture
- Polyethylene glycol
- Hepatic stellate cell
- Microwell
- Protein sensor
- ELISA
- Abstract
- Cells communicate with each other in multiple ways, with proteins as one of these signals. IL-6 is a pleiotropic cytokine involved in inflammation. IL-6 has a seemingly double-sided effect in liver pathologies, enhancing liver steatosis but also reducing liver injury. This ambiguous nature makes it imperative to find a research tool that can quantify local IL-6 concentrations in in vitro cell culture. By optimizing an ELISA system fitted into polyethylene glycol (PEG) microgels, we have developed an easy-to-use IL-6 sensor enabled for 3D cell culture systems. Using a confocal microscope, the microgels are able to detect IL-6 concentrations from 2.95 ng/mL and 33.56 ng/mL (middle 80% detection range). This concentration range fit well within the IL-6 release profile of small HSC aggregates, allowing us to quantify the exact IL-6 concentration starting at an average minimum distance of 14.68 μm from the aggregate. The μGELISA system could be adapted to proteins other than IL-6 by modifying the antibody sets used for capture and detection. Our μGELISA system could also be used to study cell-to-cell communication through protein signals and the effect these local concentrations have on each other, all within a closed-loop environment.
- Graduation Semester
- 2022-05
- Type of Resource
- Thesis
- Copyright and License Information
- Copyright 2022 Hyeon Ryoo
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