A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation.

TL;DR: Downregulation of PLCG2 in neurons impairs synaptic function, increases Abeta and TAU phosphorylation, and is associated with Alzheimer's disease hallmarks, with rare PLCG2 loss-of-function variants linked to a 10-fold increased AD risk.

TL;DR: This work demonstrated the superiority of LANTSA to identify accurate data structures via clustering evaluation on benchmark datasets of various scRNA-seq protocols, 10x Visium, and Slide-seq ST platforms and confirmed the integration capability of LantSA to transfer cell annotation on large-scale and cross-platform sc RNA-seq datasets.

TL;DR: A benchmark of cell type deconvolution methods in spatial transcriptomics reveals the strengths and limitations of current approaches.

TL;DR: It is shown that mCA and MeCP2 regulate genes that are repeatedly tuned to differentiate neuron types at the highest cellular resolution, including spatially resolved, vision-dependent gene programs in the visual cortex.

TL;DR: A strategy to "anchor" diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities.

TL;DR: An analytical strategy for integrating scRNA-seq data sets based on common sources of variation is introduced, enabling the identification of shared populations across data sets and downstream comparative analysis.

TL;DR: A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.

TL;DR: Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction.