The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, we acutely purified representative populations of neurons, astrocytes, oligodendrocyte precursor cells, newly formed oligodendrocytes, myelinating oligodendrocytes, microglia, endothelial cells, and pericytes from mouse cerebral cortex. We generated a transcriptome database for these eight cell types by RNA sequencing and used a sensitive algorithm to detect alternative splicing events in each cell type. Bioinformatic analyses identified thousands of new cell type-enriched genes and splicing isoforms that will provide novel markers for cell identification, tools for genetic manipulation, and insights into the biology of the brain. For example, our data provide clues as to how neurons and astrocytes differ in their ability to dynamically regulate glycolytic flux and lactate generation attributable to unique splicing of PKM2 , the gene encoding the glycolytic enzyme pyruvate kinase. This dataset will provide a powerful new resource for understanding the development and function of the brain. To ensure the widespread distribution of these datasets, we have created a user-friendly website ( http://web.stanford.edu/group/barres_lab/brain_rnaseq.html ) that provides a platform for analyzing and comparing transciption and alternative splicing profiles for various cell classes in the brain.
The availability of genome-wide expression data for the blood-brain barrier is an invaluable resource that has recently enabled the discovery of several genes and pathways involved in the development and maintenance of the blood-brain barrier, particularly in rodent models. The broad distribution of published data sets represents a viable starting point for the molecular dissection of the blood-brain barrier and will further direct the discovery of novel mechanisms of blood-brain barrier formation and function. Technical advances in purifying brain endothelial cells, the key cell that forms the critical barrier, have allowed for greater specificity in gene expression comparisons with other central nervous system cell types, and more systematic characterizations of the molecular composition of the blood-brain barrier. Nevertheless, our understanding of how the blood-brain barrier changes during aging and disease is underrepresented. Blood-brain barrier data sets from a wider range of experimental paradigms and species, including invertebrates and primates, would be invaluable for investigating the function and evolution of the blood-brain barrier. Newer technologies in gene expression profiling, such as RNA-sequencing, now allow for finer resolution of transcriptomic changes, including isoform specificity and RNA-editing. As our field continues to utilize more advanced expression profiling in its ongoing efforts to elucidate the blood-brain barrier, including in disease and drug delivery, we will continue to see rapid advances in our understanding of the molecular mediators of barrier biology. We predict that the recently published data sets, combined with forthcoming genomic and proteomic blood-brain barrier data sets, will continue to fuel the molecular genetic revolution of.
The blood-brain barrier (BBB) is a term used to describe the unique properties of central nervous system (CNS) blood vessels. One important BBB property is the formation of a paracellular barrier made by tight junctions (TJs) between CNS endothelial cells (ECs). Here, we show that Lipolysis-stimulated lipoprotein receptor (LSR), a component of paracellular junctions at points in which three cell membranes meet, is greatly enriched in CNS ECs compared with ECs in other nonneural tissues. We demonstrate that LSR is specifically expressed at tricellular junctions and that its expression correlates with the onset of BBB formation during embryogenesis. We further demonstrate that the BBB does not seal during embryogenesis in Lsr knockout mice with a leakage to small molecules. Finally, in mouse models in which BBB was disrupted, including an experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis and a middle cerebral artery occlusion (MCAO) model of stroke, LSR was down-regulated, linking loss of LSR and pathological BBB leakage.
Neuronal migrations follow vascular pathways In the developing brain, various types of cells migrate from their birthplaces to their workplaces. Oligodendrocyte precursors, which develop to form the insulating sheaths that make signal transmission along an axon faster, travel farther than many. Tsai et al. now show just how the oligodendrocyte precursor cells find their way (see the Perspective by Dejana and Beltsholtz). The progenitor cells follow along the endothelial cells of the vasculature. Disrupting endothelial cells interfered with oligodendrocyte migration, leaving some sections of the brain deficient in insulators. Science , this issue p. 379 ; see also p. 341
Clobazam is a 1,5-benzodiazepine effective in antiepileptic therapy of children and adults. Presently it is mainly used as adjuvant therapy for intractable seizures. Our objective was to evaluate the effect of clobazam on the apparent clearance of other antiepileptic drugs at steady state, and to determine the factors that determine the plasma levels of clobazam and its active metabolite N-desmethylclobazam. Patients were 74 children with intractable seizures who received treatment with clobazam at our institution as part of the Canadian Cooperative Clobazam Study Group during the years 1987 to 1991. Serum concentrations of clobazam, N-desmethylclobazam, and of concomitant antiepileptic drugs were monitored and prospectively collected. The effect of clobazam treatment on the apparent clearance steady state of the other antiepileptic drugs was determined by statistical comparison of the clearances of each drug before and after initiation of clobazam treatment using Wilcoxon's signed rank test. The effects of dosage, age, and concomitant antiepileptic therapy on the levels of clobazam and N-desmethylclobazam was assessed by multivariate analysis. Response to treatment and incidence of adverse effects were evaluated for each conventional antiepileptic drug to possibly identify favorable or unfavorable combinations with clobazam. Whereas the clearances of most conventional antiepileptics are not affected by cotherapy with clobazam, the apparent clearances of valproic acid and primidone are significantly reduced in the presence of clobazam. Serum concentrations of clobazam increased with dosage and age, and decreased with phenobarbital cotherapy. Serum concentrations of N-desmethylclobazam significantly correlated with clobazam serum levels, age, or clobazam dosage and were significantly increased by cotherapy with phenytoin or carbamazepine. None of the concomitantly used drugs were associated with increased or decreased rate of seizure control. Twelve patients experienced mild adverse drug effects that were not associated with particular cotherapy, clobazam dose, or plasma concentrations. When clobazam is added to a therapy regimen that includes valproic acid, the patient should be closely followed for possible adverse drug reactions caused by elevated valproic acid serum concentrations, and monitoring of valproate serum levels should be considered. When clobazam doses are gradually increased to achieve an optimal clinical effect, the interactions with phenobarbital, carbamazepine, and phenytoin do not necessitate therapeutic drug monitoring of clobazam or N-desmethylclobazam, because there is a large therapeutic window and a poor correlation between plasma concentrations and therapeutic efficacy.
