The Journal of Neuroscience, 2023 · DOI: https://doi.org/10.1523/JNEUROSCI.0811-22.2023 · Published: November 22, 2023
The corticospinal tract (CST) is a key motor pathway, and damage to it can cause lasting functional impairments. Current repair strategies are not optimal due to a limited understanding of the molecular differences within the adult CST. This study combines retrograde tracing with single-cell RNA sequencing to identify different types of corticospinal neurons (CSNs) that connect to forelimbs and hindlimbs. The research uses machine learning to differentiate CSNs from other cortical neurons, which could help in studying CST development, targeting repair strategies, and screening for growth activators after spinal cord injury.
The identification of unique molecular characteristics of CSN subtypes can inform more precise therapeutic interventions for spinal cord injury.
The CSN gene lists can be leveraged for in vitro and in vivo screening to identify factors that promote axon growth and survival in specific CSN subtypes.
The discovery of supraspinal connectivity of CSNs provides new insights into how the CST influences motor processing beyond spinal motor circuitry.