Transcription factor expression defines subclasses of developing projection neurons highly similar to single-cell RNA-seq subtypes

• Published in: Proceedings of the National Academy of Sciences - PNAS 2020-10, Vol.117 (40), p.25074-25084
• Main Authors: Heavner, Whitney E., Ji, Shaoyi, Notwell, James H., Dyer, Ethan S., Tseng, Alex M., Birgmeier, Johannes, Yoo, Boyoung, Bejerano, Gill, McConnell, Susan K.
• Format: Article
• Language: English
• Subjects: Animals; Biological Sciences; Cell Differentiation - genetics; Cell fate; Cells (biology); Cerebral cortex; Cerebral Cortex - metabolism; Chromatin; Embryos; Forebrain; Gene expression; Gene Expression Regulation, Developmental - genetics; Gene regulation; Mice; Nerve Tissue Proteins - genetics; Neurons; Neurons - metabolism; Progenitor cells; Projection; Ribonucleic acid; RNA; RNA-Seq - methods; Single-Cell Analysis; Stem cells; Transcription factors; Transcription Factors - genetics
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2008013117

We are only just beginning to catalog the vast diversity of cell types in the cerebral cortex. Such categorization is a first step toward understanding how diversification relates to function. All cortical projection neurons arise from a uniform pool of progenitor cells that lines the ventricles of the forebrain. It is still unclear how these progenitor cells generate the more than 50 unique types of mature cortical projection neurons defined by their distinct gene-expression profiles. Moreover, exactly how and when neurons diversify their function during development is unknown. Here we relate gene expression and chromatin accessibility of two subclasses of projection neurons with divergent morphological and functional features as they develop in the mouse brain between embryonic day 13 and postnatal day 5 in order to identify transcriptional networks that diversify neuron cell fate. We compare these gene-expression profiles with published profiles of single cells isolated from similar populations and establish that layerdefined cell classes encompass cell subtypes and developmental trajectories identified using single-cell sequencing. Given the depth of our sequencing, we identify groups of transcription factors with particularly dense subclass-specific regulation and subclass-enriched transcription factor binding motifs. We also describe transcription factor-adjacent long noncoding RNAs that define each subclass and validate the function of Myt1l in balancing the ratio of the two subclasses in vitro. Our multidimensional approach supports an evolving model of progressive restriction of cell fate competence through inherited transcriptional identities.