Mapping Human Neuronal Diversity in the Search for New Therapeutics: Using Real Human Neuron Data Sets to Build
Emma C Milligan1, Kaitlyn Casimo2, Laurie Buchanan3
1Psychology and Neuroscience Department, University of North Carolina Chapel Hill, Chapel Hill, NC 27599.
Summary
This case study uses real epilepsy research data to teach high-throughput discovery science. Students develop therapeutic drugs, enhancing their quantitative and research skills.
Area of Science:
- Neuroscience
- Biotechnology
- Medical Education
Background:
- Case studies promote collaborative problem-solving and storytelling in education.
- High-Throughput Discovery Science (HITS) network funded the development of this case.
- The Allen Cell Types Database is a resource for interdisciplinary open science.
Purpose of the Study:
- To engage students in developing therapeutic drugs for epilepsy.
- To enhance student knowledge of epilepsy and high-throughput scientific approaches.
- To build students' quantitative and research-related skills.
Main Methods:
- Students utilized the Allen Cell Types Database, including human brain tissue data.
- Collaborative data collection, organization, and statistical analysis were performed.
- The case was implemented in diverse courses and teaching modalities (in-person/remote).
Main Results:
- Students demonstrated strong performance on case-related exam questions.
- Students reported high confidence in achieving learning outcomes.
- Students enjoyed the case's connection to neurological disease and advanced technology.
Conclusions:
- The case study effectively enhances understanding of epilepsy and high-throughput science.
- The case builds essential quantitative and research skills in STEM students.
- The case is versatile for various neuroscience and STEM curricula and modalities.
