Ascoli, G. A. et al. Petilla terminology: Nomenclature of options of GABAergic interneurons of the cerebral cortex. Nat. Rev. Neurosci. 9, 557–568 (2008).
Defelipe, J. et al. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat. Rev. Neurosci. 14, 202–216 (2013).
Kepecs, A. & Fishell, G. Interneuron cell varieties are match to operate. Nature 505, 318–326 (2014).
Mayer, C. et al. Clonally associated forebrain interneurons disperse broadly throughout each purposeful areas and structural boundaries. Neuron 87, 989–998 (2015).
Harwell, C. C. et al. Wide dispersion and range of clonally associated inhibitory interneurons. Neuron 87, 999–1007 (2015).
Freund, T. F. Interneuron range collection: rhythm and temper in perisomatic inhibition. Trends Neurosci. 26, 489–495 (2003).
Tremblay, R., Lee, S. & Rudy, B. GABAergic interneurons within the neocortex: from mobile properties to circuits. Neuron 91, 260–292 (2016).
Mayer, C. et al. Developmental diversification of cortical inhibitory interneurons. Nature 555, 457–462 (2018).
Mi, D. et al. Early emergence of cortical interneuron range within the mouse embryo. Science 360, 81–85 (2018).
Wonders, C. P. et al. A spatial bias for the origins of interneuron subgroups inside the medial ganglionic eminence. Dev. Biol. 314, 127–136 (2008).
Batista-Brito, R. & Fishell, G. The developmental integration of cortical interneurons right into a purposeful community. Curr. Top. Dev. Biol. 87, 81–118 (2009).
Wang, Y. et al. Dlx5 and Dlx6 regulate the development of parvalbumin-expressing cortical interneurons. J. Neurosci. 30, 5334–5345 (2010).
Pai, E. L.-L. et al. Mafb and c-Maf have prenatal compensatory and postnatal antagonistic roles in cortical interneuron destiny and operate. Cell Rep. 26, 1157–1173.e5 (2019).
Pai, E. L.-L. et al. Maf and Mafb management mouse pallial interneuron destiny and maturation via neuropsychiatric illness gene regulation. eLife 9, e54903 (2020).
Ma, S. et al. Chromatin potential recognized by shared single-cell profiling of RNA and chromatin. Cell 183, 1103–1116.e20 (2020).
Sinnamon, J. R. et al. The accessible chromatin panorama of the murine hippocampus at single-cell decision. Genome Res. 29, 857–869 (2019).
Preissl, S. et al. Single-nucleus evaluation of accessible chromatin in growing mouse forebrain reveals cell-sort-particular transcriptional regulation. Nat. Neurosci. 21, 432–439 (2018).
Fang, R. et al. Comprehensive evaluation of single cell ATAC-seq knowledge with SnapATAC. Nat. Commun. 12, 1337 (2021).
Stuart, T. et al. Comprehensive integration of single-cell knowledge. Cell 177, 1888–1902.e21 (2019).
Barkas, N. et al. Joint evaluation of heterogeneous single-cell RNA-seq dataset collections. Nat. Methods 16, 695–698 (2019).
Miyoshi, G. & Fishell, G. GABAergic interneuron lineages selectively kind into particular cortical layers throughout early postnatal development. Cereb. Cortex 21, 845–852 (2011).
Batista-Brito, R. et al. The cell-intrinsic requirement of Sox6 for cortical interneuron development. Neuron 63, 466–481 (2009).
Azim, E., Jabaudon, D., Fame, R. M. & MacKlis, J. D. SOX6 controls dorsal progenitor identification and interneuron range throughout neocortical development. Nat. Neurosci. 12, 1238–1247 (2009).
Au, E. et al. A modular gain-of-function strategy to generate cortical interneuron subtypes from ES cells. Neuron 80, 1145–1158 (2013).
Castro, D. M., de Veaux, N. R., Miraldi, E. R. & Bonneau, R. Multi-study inference of regulatory networks for extra correct fashions of gene regulation. PLoS Comput. Biol. 15, 1–22 (2019).
Yadav, T., Quivy, J.-P. & Almouzni, G. Chromatin plasticity: a flexible panorama that underlies cell destiny and identification. Science 361, 1332–1336 (2018).
Ladstätter, S. & Tachibana, Okay. Genomic insights into chromatin reprogramming to totipotency in embryos. J. Cell Biol. 218, 70–82 (2019).
Harrington, A. J. et al. MEF2C regulates cortical inhibitory and excitatory synapses and behaviors related to neurodevelopmental issues. eLife 5, e20059 (2016).
Cosgrove, D. et al. Genes influenced by MEF2C contribute to neurodevelopmental illness through gene expression adjustments that have an effect on a number of varieties of cortical excitatory neurons. Hum. Mol. Genet. 30, 961–970 (2021).
Monory, Okay. et al. The endocannabinoid system controls key epileptogenic circuits within the hippocampus. Neuron 51, 455–466 (2006).
Madisen, L. et al. A strong and excessive-throughput Cre reporting and characterization system for the entire mouse mind. Nat. Neurosci. 13, 133–140 (2010).
Mo, A. et al. Epigenomic signatures of neuronal range within the mammalian mind. Neuron 86, 1369–1384 (2015).
Vong, L. H., Ragusa, M. J. & Schwarz, J. J. Generation of conditional Mef2cloxP/loxP mice for temporal- and tissue-particular analyses. Genesis 43, 43–48 (2005).
Fogarty, M. et al. Spatial genetic patterning of the embryonic neuroepithelium generates GABAergic interneuron range within the grownup cortex. J. Neurosci. 27, 10935–10946 (2007).
Tirosh, I. et al. Single-cell RNA-seq helps a developmental hierarchy in human oligodendroglioma. Nature 539, 309–313 (2016).
Setty, M. et al. Characterization of cell destiny possibilities in single-cell knowledge with Palantir. Nat. Biotechnol. 37, 451–460 (2019).
Street, Okay. et al. Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics. BMC Genomics 19, 477 (2018).
Gabitto, M. I. et al. Characterizing chromatin panorama from mixture and single-cell genomic assays utilizing versatile period modeling. Nat. Commun. 11, 1–10 (2020).
Heinz, S. et al. Simple combos of lineage-figuring out transcription elements prime cis-regulatory parts required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010).
Stroud, H. et al. An exercise-mediated transition in transcription in early postnatal neurons. Neuron 107, 874–890.e8 (2020).
Liu, N. et al. Direct promoter repression by BCL11A controls the fetal to grownup hemoglobin swap. Cell 173, 430–442.e17 (2018).
Zhu, Q., Liu, N., Orkin, S. H. & Yuan, G.-C. CUT&RUNTools: a versatile pipeline for CUT&RUN processing and footprint evaluation. Genome Biol. 20, 192 (2019).
Pliner, H. et al. Chromatin accessibility dynamics of myogenesis at single cell decision. Preprint at https://doi.org/10.1101/155473 (2017).
Jackson, C. & Skok Gibbs, C. Inferelator instance knowledge and scripts. https://doi.org/10.5281/zenodo.3355524 (2019).