Brain transcriptome databases: a user’s guide

Transcriptional programs instruct the generation and maintenance of diverse subtypes of neural cells, establishment of distinct brain regions, formation and function of neural circuits, and ultimately behavior. Spatiotemporal and cell type-specific analyses of the transcriptome, the sum total of all RNA transcripts in a cell or an organ, can provide insights into the role of genes in brain development and function, and their potential contribution to disorders of the brain. In the previous decade, advances in sequencing technology and funding from the National Institutes of Health and private foundations for large-scale genomics projects have led to a growing collection of brain transcriptome databases. These valuable resources provide rich and high-quality datasets with spatiotemporal, cell type-specific, and single-cell precision. Most importantly, many of these databases are publicly available via user-friendly web interface, making the information accessible to individual scientists without the need for advanced computational expertise. Here, we highlight key publicly available brain transcriptome databases, summarize the tissue sources and methods used to generate the data, and discuss their utility for neuroscience research.

Abstract: Dorsomedial striatum circuitry is involved in goal-directed actions or movements that become habits upon repetition, as encoded by the dorsolateral striatum. An inability to shift from habits can compromise action-control and prevent behavioural adaptation. Although these regions appear to be clearly behaviourally distinct, little is known about their distinct physiology. Parvalbumin (PV) interneurons are a major source of striatal inhibition and are usually considered as a homogeneous population in the entire dorsal striatum. In the present study, we recorded PV interneurons in dorsal striatum slices from wild-type male mice and suggest the existence of two electrophysiological dichotomous populations. We found that PV interneurons located at the dorsomedial striatum region have increased intrinsic excitability compared to PV interneurons in dorsolateral region. We also found that PV interneurons in the dorsomedial region, but not in the dorsolateral striatum region, receive short-latency excitatory inputs from cingulate cortex. Therefore, the results of the present study demonstrate the importance of considering region specific parvalbumin interneuron populations when studying dorsal striatal function.

Background: Large, multigenic deletions at chromosome 7q11.23 result in a highly penetrant constellation of physical and behavioral symptoms known as Williams-Beuren syndrome (WS). Of particular interest is the unusual social-cognitive profile evidenced by deficits in social cognition and communication reminiscent of autism spectrum disorders (ASD) that are juxtaposed with normal or even relatively enhanced social motivation. Interestingly, duplications in the same region also result in ASD-like phenotypes as well as social phobias. Thus, the region clearly regulates human social motivation and behavior, yet the relevant gene(s) have not been definitively identified.

Method: Here, we deeply phenotyped 85 individuals with WS and used exome sequencing to analyze common and rare variation for association with the remaining variance in social behavior as assessed by the Social Responsiveness Scale.

Results: We replicated the previously reported unusual juxtaposition of behavioral symptoms in this new patient collection, but we did not find any new alleles of large effect in the targeted analysis of the remaining copy of genes in the Williams syndrome critical region. However, we report on two nominally significant SNPs in two genes that have been implicated in the cognitive and social phenotypes of Williams syndrome, BAZ1B and GTF2IRD1. Secondary discovery driven explorations focusing on known ASD genes and an exome wide scan do not highlight any variants of a large effect.

Conclusions: Whole exome sequencing of 85 individuals with WS did not support the hypothesis that there are variants of large effect within the remaining Williams syndrome critical region that contribute to the social phenotype. This deeply phenotyped and genotyped patient cohort with a defined mutation provides the opportunity for similar analyses focusing on noncoding variation and/or other phenotypic domains.