This study introduces NeMO Analytics, a web-based platform designed to consolidate and analyze vast amounts of transcriptomic data concerning the development of the mammalian neocortex. By integrating information from hundreds of public studies, the researchers created a curated environment that allows users to explore gene expression across multiple species, including mice, macaques, and humans. The authors utilized a mathematical method called joint matrix decomposition to identify shared molecular programs that drive the transition from neural progenitor cells to mature neurons. Their findings reveal specific genetic signatures linked to evolutionary differences between primates and rodents, as well as the maturation process of excitatory neurons. Furthermore, the platform highlights discrepancies between in vivo development and lab-grown cerebral organoids, showing that certain mature neuronal programs are absent in vitro. Ultimately, NeMO Analytics serves as an accessible tool for biologists to investigate brain development and the genetic foundations of neuropsychiatric disorders without requiring specialized coding skills.

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.