Gating properties and surface trafficking of AMPA receptors (AMPARs) are modulated by auxiliary subunits. Here we studied the function of coexpressed auxiliary subunits belonging to two different classes. We focused on TARP γ-8 and CKAMP44 in dentate gyrus (DG) granule cells, since both subunits are highly expressed in this cell type. TARP γ-8 and CKAMP44 decrease the rate of deactivation but have an opposing influence on receptor desensitization, which accounts for their differential modulation of synaptic short-term plasticity. Furthermore, long-term plasticity (LTP) requires TARP γ-8 but not CKAMP44. The coexpression of both auxiliary subunits is necessary for the efficient targeting of AMPARs to the cell surface of DG granule cells. Finally, electrophysiological and biochemical evidence support the notion that CKAMP44 and TARP γ-8 can be contained in the same AMPAR complex.

Thalamus is the central communication hub of the forebrain, providing cerebral cortex with inputs from sensory organs, subcortical systems, and cortex itself. Multiple thalamic regions send convergent information to each cortical region, but the organizational logic of thalamic projections has remained elusive. Through comprehensive transcriptional analyses of retrogradely labeled thalamic neurons in adult mice, we identify three major profiles of thalamic pathway. These profiles exist along a continuum that is repeated across all major projection systems, such as those for vision, motor control, and cognition. The largest component of gene expression variation in mouse thalamus is topographically organized with features conserved in humans. Transcriptional differences between these thalamic neuronal identities are tied to cellular features critical for function, such as axonal morphology and membrane properties. Molecular profiling therefore reveals covariation in properties of thalamic pathways serving all major input modalities and output targets, establishing a molecular framework for understanding thalamus. Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

Synaptic disturbances in excitatory to inhibitory (E/I) balance in forebrain circuits are thought to contribute to the progression of Alzheimer’s disease (AD) and dementia, although direct evidence for such imbalance in humans is lacking. We assessed anatomical and electrophysiological synaptic E/I ratios in post-mortem parietal cortex samples from middle-aged individuals with AD (early-onset) or Down syndrome (DS) by fluorescence deconvolution tomography and microtransplantation of synaptic membranes. Both approaches revealed significantly elevated E/I ratios for AD, but not DS, versus controls. Gene expression studies in an independent AD cohort also demonstrated elevated E/I ratios in individuals with AD as compared to controls. These findings provide evidence of a marked pro-excitatory perturbation of synaptic E/I balance in AD parietal cortex, a region within the default mode network that is overly active in the disorder, and support the hypothesis that E/I imbalances disrupt cognition-related shifts in cortical activity which contribute to the intellectual decline in AD.

AMPA receptor (AMPAR) function is modulated by auxiliary subunits. Here, we report on three AMPAR interacting proteins—namely CKAMP39, CKAMP52 and CKAMP59—that, together with the previously characterized CKAMP44, constitute a novel family of auxiliary subunits distinct from other families of AMPAR interacting proteins. The new members of the CKAMP family display distinct regional and developmental expression profiles in the mouse brain. Notably, despite their structural similarities they exert diverse modulation on AMPAR gating by influencing deactivation, desensitization and recovery from desensitization, as well as glutamate and cyclothiazide potency to AMPARs. This study indicates that AMPAR function is very precisely controlled by the cell-type specific expression of the CKAMP family members.

Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases, we provide an extensive resource for further investigation of mouse neuronal cell types.

To image the accessible genome at nanometer scale in situ , we developed 3D ATAC-PALM which integrates Assay for Transposase-Accessible Chromatin with visualization, PALM super-resolution imaging and lattice light-sheet microscopy. Multiplexed with Oligopaint DNA-FISH, RNA-FISH and protein fluorescence, 3D ATAC-PALM connected microscopy and genomic data, revealing spatially-segregated accessible chromatin domains (ACDs) that enclose active chromatin and transcribed genes. Using these methods to analyze genetically perturbed cells, we demonstrated that genome architectural protein CTCF prevents excessive clustering of accessible chromatin and decompacts ACDs. These results highlight 3D ATAC-PALM as a useful tool to probe the structure and organizing mechanism of the genome.

Psychiatric illness is unlikely to arise from pathology occurring uniformly across all cell types in affected brain regions. Despite this, transcriptomic analyses of the human brain have typically been conducted using macro-dissected tissue due to the difficulty of performing single-cell type analyses with donated post-mortem brains. To address this issue statistically, we compiled a database of several thousand transcripts that were specifically-enriched in one of 10 primary cortical cell types in previous publications. Using this database, we predicted the relative cell type content for 833 human cortical samples using microarray or RNA-Seq data from the Pritzker Consortium (GSE92538) or publicly-available databases (GSE53987, GSE21935, GSE21138, CommonMind Consortium). These predictions were generated by averaging normalized expression levels across transcripts specific to each cell type using our R-package BrainInABlender (validated and publicly-released on github). Using this method, we found that the principal components of variation in the datasets strongly correlated with the predicted neuronal/glial content of the samples. This variability was not simply due to dissection–the relative balance of brain cell types appeared to be influenced by a variety of demographic, pre- and post-mortem variables. Prolonged hypoxia around the time of death predicted increased astrocytic and endothelial gene expression, illustrating vascular upregulation. Aging was associated with decreased neuronal gene expression. Red blood cell gene expression was reduced in individuals who died following systemic blood loss. Subjects with Major Depressive Disorder had decreased astrocytic gene expression, mirroring previous morphometric observations. Subjects with Schizophrenia had reduced red blood cell gene expression, resembling the hypofrontality detected in fMRI experiments. Finally, in datasets containing samples with especially variable cell content, we found that controlling for predicted sample cell content while evaluating differential expression improved the detection of previously-identified psychiatric effects. We conclude that accounting for cell type can greatly improve the interpretability of transcriptomic data.

Background Evidence from anatomical, pharmacological, and genetic studies supports a role for the neuropeptide melanin concentrating hormone (MCH) system in modulating emotional and cognitive functions. Genome wide association (GWA) studies revealed a potential association between the MCH receptor (MCHR1) gene locus and schizophrenia and the largest GWA study conducted to date shows a credible GWA. Methods We analyze MCHR1 and pro-melanin concentrating hormone (PMCH) RNA-Seq expression in the prefrontal cortex in schizophrenia patients and healthy controls. Disruptions in the MCH system were modeled in the mouse brain by germline deletion of MCHR1 and by conditional ablation of MCH expressing neurons using a Cre-inducible diphtheria toxin (iDTR) system. Results MCHR1 expression is decreased in the prefrontal cortex of schizophrenia samples (FDR p< 0.05, CommonMind and PsychEncode combined datasets, N = 901) while PMCH is below the detection threshold. MCHR1 expression decreased with aging (p = 6.6E-57) in human dorsolateral prefrontal cortex. The deletion of MCHR1 was found to lead to behavioral abnormalities mimicking schizophrenia-like phenotypes: hyperactivity, increased stereotypic and repetitive behavior, social impairment, impaired sensorimotor gating, and disrupted cognitive functions. Conditional ablation of PMCH neurons increased repetitive behavior and produced a deficit in sensorimotor gating. Conclusions Our study indicates that early disruption of the MCH system interferes with neurodevelopmental processes which may contribute to the pathogenesis of schizophrenia. Further neurobiological research on the developmental timing and circuits that are affected by MCH may lead to a therapeutic target for early prevention of schizophrenia.