1299-Transcriptomic Landscape of Neocortical Development

The paper introduces NeMO Analytics, a specialized digital platform designed to help researchers explore the complex genetic landscape of neocortical development. By compiling transcriptomic data from approximately 200 distinct studies, the resource allows scientists to simultaneously analyze gene expression across humans, macaques, and mice. The authors utilized joint matrix decomposition to identify shared biological programs that govern how brain cells transition from early progenitors to mature neurons. Their findings reveal critical evolutionary differences in cell behavior and highlight how certain developmental signatures are linked to neuropsychiatric disease risks. Furthermore, the research demonstrates that while cerebral organoids can mimic basic brain growth, they often fail to replicate the sophisticated maturation programs found in living tissue. This user-friendly portal specifically empowers cell biologists without coding skills to navigate vast datasets and contribute their own findings to the global understanding of brain evolution.References:Sonthalia S, Herb B, Adkins R S, et al. NeMO Analytics: a compendium of transcriptomic data for the exploration of neocortical development[J]. Nature neuroscience, 2026: 1-14.前往小宇宙评论区与主播互动