Extended Data Fig. 2: Integration and quality control of single-nucleus RNA-seq (snRNA-seq) data from control and patient brain tissues.
From: Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia

a, UMAP visualization comparing age distribution of subjects between the reference Velmeshev et al.22 postmortem control dataset (V19, left) and the complete integrated dataset from this study (right). Color gradient indicates subject age in years. b, Relative proportion of major cell types across individual samples. Cell types include glutamatergic neurons (GluN and GluL2-6), GABAergic interneurons (IN-MGE and IN-CGE), glial cells (astrocytes, oligodendrocytes, OPCs) and other cell types (microglia, endothelial cells). Abbreviations: Glu, glutamatergic; N, neurons; L, layer; CC, cortico-cortical projection neurons; IN-MGE/CGE, interneurons originating from the medial/caudal ganglionic eminence; OPC, oligodendrocyte precursor cells. c, Individual UMAP plots showing nucleus distribution for each patient and control. d, Quality metrics for snRNA-seq data across cell types and individuals: total count of unique molecular identifiers (UMIs) per nucleus (N counts), mean number of unique genes (N genes) detected per nucleus and percentage (%) of transcripts from mitochondrial genes.