The ASAP-sponsored video series, Discover ASAP, highlights top findings and tools connected to our ASAP network, including datasets, code & software, protocols, and lab materials. Featured videos include interviews of authors, grantees, and key opinion leaders in Parkinson’s research.
Discover ASAP is designed to further the spread of knowledge and enhance equity across the scientific community by promoting transparent research practices. We are excited to share these interviews and videos with the research community, in hopes that they will help to accelerate discoveries for Parkinson’s disease.
Watch Discover ASAP
Watch Discover ASAP videos. You can receive notifications when there are new interviews to watch. Subscribe to ASAP’s YouTube channel.
This Month's Featured Video
In this episode of Discover ASAP, Alexandra Nelson, MD, PhD, Chris Ford, PhD, Beatriz Nielson, PhD, and Emily Twedell, BA, members of the Collaborative Research Network’s (CRN) Team Edwards, join us to discuss their contributions to understanding the mechanisms underlying levodopa-induced dyskinesia.
Find relevant publications. Learn more about Team Edwards.
Other Discover ASAP Videos
In this episode of Discover ASAP, Neil Dundon, PhD, a member of the Collaborative Research Network’s (CRN) Team Strick, joins us to discuss his task-based human fMRI dataset examining the modulatory impact of incentivization and emotional salience on movement. Check out the dataset.
In this episode of Discover ASAP, Seppe De Winter, MS, Niklas Kempynck, MS, David Mauduit, PhD, and Ibrahim Taskiran, PhD, members of Collaborative Research Network’s (CRN) Team Voet, discuss CREsted, a deep learning model that can be used to efficiently design synthetic, cell-type-specific enhancers to permit testing of gene function in context.
Check out the publication and the deep learning Python package.
In this episode of Discover ASAP, Koen Theunis, a technical expert at KU Leuven and a member of Collaborative Research Network’s (CRN) Team Voet, discusses HyDrop, an open-source droplet microfluidics sequencing platform. Check out the publication and the tool.
Dorotea Fracchiolla (Doro), the Project Manager for Team Hurley (Mito911), joins Discover ASAP to discuss good communication as a key component of open science and how art can be used as an effective means to communicate science. Doro also talks about the paintings she created for ASAP that represent Parkinson’s disease. Read Doro’s first and second blog posts about her art Learn more about Team Hurley. Follow Doro on Bluesky.
Justin Savage, a PhD student at Duke University and a member of CRN Team Calakos, joins Discover ASAP to discuss his open-source ImageJ-based synapse analysis software. Team Calakos shared source code, tutorials, tissue processing protocols, and example data for their tool. Read the publication.
Zac Caffal, a Senior Research Analyst at Duke University and a member of CRN Team Calakos, joins Discover ASAP to discuss the Selective Phospho-eIF2α ORF Tracking light (SPOTlight) reporter that measure integrated stress response (ISR) state-dependent protein synthesis. Read the paper. Check out the viral reporter.
Zack Gaertner, an MD/PhD student at Northwestern University and a member of CRN Team Awatramani, joins Discover ASAP to discuss his spatial transcriptomics dataset examining the genetic drivers of subtype-specific vulnerability in Parkinson’s disease. Read the preprint.
Karin Cox, a postdoctoral researcher at the University of Pittsburgh and a member of CRN Team Strick, joins Discover ASAP to discuss her new method for more accurately detecting rhythmic spiking through power spectra. The team shared the source code on GitHub and Zenodo. Read the publication.
Protocol Particulars
ASAP’s previous video series – Protocol Particulars – highlighted ASAP-generated protocols. Featured guests included the protocol authors, who provided an overview of their protocol, described how the protocol relates to their ASAP project, and presented detailed troubleshooting tips. View these videos on ASAP’s Protocol Particulars Playlist.
