Collaborative Research Network Archive

Published: Existing spatial transcriptomics techniques are either limited by capture array density or are cost-prohibitive for large-scale atlasing. Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells enables customized, low-cost, flexible, and high-resolution spatial profiling of large tissue sections. View original preprint.

Published: Neurosurgical targeting in nonhuman primates (NHPs) requires presurgical anatomy mapping with neuroimaging techniques (MRI, CT, PET). Given the varied tissue contrasts that these imaging techniques produce, the alignment of imaging-based coordinates to surgical apparatus can be cumbersome. The authors developed an MRI-compatible stereotaxis allowing alignment through technique-specific fiducial markers. View original preprint.

Published: Characterization of Parkinson's disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. This study characterizes Parkinson's progression in diverse populations. It delineates systemic divergences in the patient populations enrolled in research settings vs. patients in the real world. View original preprint. 

Genome-edited human pluripotent stem cells (hPSCs) offer the unique potential to advance the understanding of Parksion's etiology by providing disease-relevant cell types carrying patient mutations along with isogenic control cells. To facilitate this experimental approach, the authors generated a collection of cell lines harboring mutations in genes associated with Parkinson's.

In this review, the authors highlight advances in the fast-developing field of single-cell and spatial multi-omics technologies (also known as multimodal omics approaches), and the computational strategies needed to integrate information across molecular layers.