Discover ASAP

In this episode of Discover ASAP, we sit down with Kirstin Tamucci, PhD, a research associate on Collaborative Research Network (CRN)’s Team Tansey, to learn more about a human microglia-like cellular model for assessing the effects of neurodegenerative disease gene variants, and how this model will be used in Team Tansey’s ASAP project.

Check out the publication introducing the model, as well as the two preceding publications (here and here) that Kirstin mentioned in the interview.

In this episode of Discover ASAP, we sit down with Nolwazi Gcwensa, PhD, a former graduate student on Collaborative Research Network (CRN)’s Team Biederer, to discuss SynDOVE, a protocol to study synapse density or volume in brain slices using confocal microscopy and Imaris three-dimensional surface rendering software.

Check out the publication.

In this episode of Discover ASAP, we sit down with Korbin Kleczko, a graduate student on Collaborative Research Network (CRN)’s Team Harper, to discuss Q-DOAS, a proximity quenching assay for real-time detection of early protein aggregation events.

Check out the preprint.

In this episode of Discover ASAP, we sit down with Khaja Mohieddin Syed, PhD, a postdoctoral fellow on Collaborative Research Network (CRN)’s Team Rio, to discuss an isogenic single-cell transcriptomic atlas of fourteen familial PD mutations.

Check out the preprint.

In this episode of Discover ASAP, we sit down with Talitha Forcier, PhD, a postdoctoral fellow on Collaborative Research Network (CRN)’s Team Jakobsson, to discuss TEsingle, an analysis suite that simultaneously tracks gene expression as well as locus-specific resolution of expressed transposable elements.

Check out the preprint.

In this episode of Discover ASAP, we sit down with members of Collaborative Research Network (CRN)’s Team Voet. Olga Sigalova, PhD, postdoctoral fellow; Alexandra Pančíková, MSc, graduate student; Julie De Man, MSc, bioinformatician; and Koen Theunis, PhD, lab engineer; to discuss their work in long-read whole-genome sequencing and single-nucleus multiome atlases exploring enhancer variants.

Check out the preprint.