Single-cell DNA methylation and 3D genome architecture in the human brain.

Delineating the gene-regulatory programs underlying complex cell types is fundamental for understanding brain function in health and disease. Here, we comprehensively examined human brain cell epigenomes by probing DNA methylation and chromatin conformation at single-cell resolution in 517 thousand cells (399 thousand neurons and 118 thousand non-neurons) from 46 regions of three adult male brains. We identified 188 cell types and characterized their molecular signatures. Integrative analyses revealed concordant changes in DNA methylation, chromatin accessibility, chromatin organization, and gene expression across cell types, cortical areas, and basal ganglia structures. We further developed single-cell methylation barcodes that reliably predict brain cell types using the methylation status of select genomic sites. This multimodal epigenomic brain cell atlas provides new insights into the complexity of cell-type-specific gene regulation in adult human brains

A comparative atlas of single-cell chromatin accessibility in the human brain.

Recent advances in single-cell transcriptomics have illuminated the diverse neuronal and glial cell types within the human brain. However, the regulatory programs governing cell identity and function remain unclear. Using a single-nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq), we explored open chromatin landscapes across 1.1 million cells in 42 brain regions from three adults. Integrating this data unveiled 107 distinct cell types and their specific utilization of 544,735 candidate cis-regulatory DNA elements (cCREs) in the human genome. Nearly a third of the cCREs demonstrated conservation and chromatin accessibility in the mouse brain cells. We reveal strong links between specific brain cell types and neuropsychiatric disorders including schizophrenia, bipolar disorder, Alzheimers disease (AD), and major depression, and have developed deep learning models to predict the regulatory roles of noncoding risk variants in these disorders

Using the dynamic model of educational effectiveness to design strategies and actions to face bullying

This project investigates the impact of the dynamic approach to school improvement (DASI) aiming to help schools face and reduce bullying through integrating research on bullying with educational effectiveness research (EER). A network of approximately 15 schools in each participating country (i.e., Belgium, Cyprus, England, Greece, and The Netherlands) received support to use DASI in order to improve the functioning of school factors included in the dynamic model of educational effectiveness which are associated with reduction of bullying. The Revised Olweus Bully/Victim Questionnaire was administered to students of the experimental (n = 1461) and control (n = 1535) group at the beginning and at the end of the intervention. With the use of multilevel modelling techniques, it was found that schools which made use of DASI were able to reduce bullying at a significantly higher level than the schools of the control group. Implications for the development of effective policies and practices in reducing bullying are draw

Shared and distinct transcriptomic cell types across neocortical areas

The neocortex contains a multitude of cell types that are segregated into layers and functionally distinct areas. To investigate the diversity of cell types across the mouse neocortex, here we analysed 23,822 cells from two areas at distant poles of the mouse neocortex: the primary visual cortex and the anterior lateral motor cortex. We define 133 transcriptomic cell types by deep, single-cell RNA sequencing. Nearly all types of GABA (γ-aminobutyric acid)-containing neurons are shared across both areas, whereas most types of glutamatergic neurons were found in one of the two areas. By combining single-cell RNA sequencing and retrograde labelling, we match transcriptomic types of glutamatergic neurons to their long-range projection specificity. Our study establishes a combined transcriptomic and projectional taxonomy of cortical cell types from functionally distinct areas of the adult mouse cortex.We thank M. Chillon Rodrigues for providing CAV2-Cre, A. Karpova for providing rAAV2-retro, A. Williford for technical assistance, and the Transgenic Colony Management and Animal Care teams for animal husbandry. This work was funded by the Allen Institute for Brain Science, and by US National Institutes of Health grants R01EY023173 and U01MH105982 to H.Z. We thank the Allen Institute founder, P. G. Allen, for his vision, encouragement and support. (Allen Institute for Brain Science; R01EY023173 - US National Institutes of Health; U01MH105982 - US National Institutes of Health)Accepted manuscrip

Conserved cell types with divergent features in human versus mouse cortex.

Elucidating the cellular architecture of the human cerebral cortex is central to understanding our cognitive abilities and susceptibility to disease. Here we used single-nucleus RNA-sequencing analysis to perform a comprehensive study of cell types in the middle temporal gyrus of human cortex. We identified a highly diverse set of excitatory and inhibitory neuron types that are mostly sparse, with excitatory types being less layer-restricted than expected. Comparison to similar mouse cortex single-cell RNA-sequencing datasets revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of properties of human cell types. Despite this general conservation, we also found extensive differences between homologous human and mouse cell types, including marked alterations in proportions, laminar distributions, gene expression and morphology. These species-specific features emphasize the importance of directly studying human brain