Discover ASAP
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An Isogenic Single-Cell Atlas of Familial Parkinson’s Disease Mutations
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.
Read the preprint
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TEsingle: A Transposable Element Analysis Suite To Assess Expression at Single-Cell Resolution
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.
A Comprehensive Dataset Mapping Cis-Acting Genetic Variants That Modulate Cell Type-Specific Enhancer Accessibility
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.
A Programmable Self-Assembling System to Model Intracellular Protein Aggregation
In this episode of Discover ASAP, Yujie Fan, PhD, a postdoctoral fellow on the Collaborative Research Network (CRN)’s Team Gradinaru, joins us to discuss a programmable self-assembling system to model intracellular protein aggregation and decode neurodegenerative diseases.
Check out the preprint.
AutoMorphoTrack: A Platform for Quantitative Organelle Analysis
In this episode of Discover ASAP, Armin Bayati, PhD, a research fellow on the Collaborative Research Network (CRN)’s Team Chen, joins us to discuss AutoMorphoTrack, a platform for quantitative analysis of organelle morphology, motility, and interactions at single-cell resolution.
Check out the preprint and Python package.
Automated Quantification of Intracellular Neuromelanin Granules in Human Brain Tissue
In this episode of Discover ASAP, Anastasia Filimontseva, a graduate student on the Collaborative Research Network (CRN)’s Team Vila, joins us to discuss a standardized, TruAI-based platform for automated quantification of intracellular neuromelanin granules in human brain tissue.
Check out the publication.
