Shreyash Sonthalia, Guangyan Li, Xoel Mato Blanco, Alex Casella, Jinrui Liu, Genevieve Stein-O'Brien, Brian Caffo, Ricky S Adkins, Joshua Orvis, Ronna Hertzano, Anup Mahurkar, Jesse Gillis, Jonathan Werner, Shaojie Ma, Nicola Micali, Nenad Sestan, Pasko Rakic, Gabriel Santpere, Seth A Ament, Carlo Colantuoni
The rising quality and amount of multi-omic data across biomedical science demands that we build innovative solutions to harness their collective discovery potential. From publicly available repositories, we have assembled and curated a compendium of gene-level transcriptomic data focused on mammalian excitatory neurogenesis in the neocortex. This collection is open for exploration by both computational and cell biologists at nemoanalytics.org , and this report forms a demonstration of its utility. Applying our novel structured joint decomposition approach to mouse, macaque and human data from the collection, we define transcriptome dynamics that are conserved across mammalian excitatory neurogenesis and which map onto the genetics of human brain structure and disease...
February 28, 2024: bioRxiv