scholarly journals Molecular atlas of the adult mouse brain

2020 ◽  
Vol 6 (26) ◽  
pp. eabb3446 ◽  
Author(s):  
Cantin Ortiz ◽  
Jose Fernandez Navarro ◽  
Aleksandra Jurek ◽  
Antje Märtin ◽  
Joakim Lundeberg ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Spatial Organization ◽  
Adult Mouse ◽  
Brain Regions ◽  
Adult Mouse Brain ◽  
Systematic Classification ◽  
Function Relationship ◽  
And Behavior ◽  
Relationship Of ◽  
The Brain

Brain maps are essential for integrating information and interpreting the structure-function relationship of circuits and behavior. We aimed to generate a systematic classification of the adult mouse brain based purely on the unbiased identification of spatially defining features by employing whole-brain spatial transcriptomics. We found that the molecular information was sufficient to deduce the complex and detailed neuroanatomical organization of the brain. The unsupervised (non-expert, data-driven) classification revealed new area- and layer-specific subregions, for example in isocortex and hippocampus, and new subdivisions of striatum. The molecular atlas further supports the characterization of the spatial identity of neurons from their single-cell RNA profile, and provides a resource for annotating the brain using a minimal gene set—a brain palette. In summary, we have established a molecular atlas to formally define the spatial organization of brain regions, including the molecular code for mapping and targeting of discrete neuroanatomical domains.

scholarly journals Molecular Atlas of the Adult Mouse Brain

2019 ◽  
Author(s):  
Cantin Ortiz ◽  
Jose Fernandez Navarro ◽  
Aleksandra Jurek ◽  
Antje Märtin ◽  
Joakim Lundeberg ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mouse Brain ◽  
Spatial Organization ◽  
Adult Mouse ◽  
Brain Regions ◽  
Adult Brain ◽  
Adult Mouse Brain ◽  
Whole Brain ◽  
Systematic Classification ◽  
Molecular Code

AbstractBrain maps are essential for integrating information and interpreting the structure-function relationship of circuits and behavior. We aimed to generate a systematic classification of the adult mouse brain organization based on unbiased extraction of spatially-defining features. Applying whole-brain spatial transcriptomics, we captured the gene expression signatures to define the spatial organization of molecularly discrete subregions. We found that the molecular code contained sufficiently detailed information to directly deduce the complex spatial organization of the brain. This unsupervised molecular classification revealed new area- and layer-specific subregions, for example in isocortex and hippocampus, and a new division of striatum. The whole-brain molecular atlas further supports the identification of the spatial origin of single neurons using their gene expression profile, and forms the foundation to define a minimal gene set - a brain palette – that is sufficient to spatially annotate the adult brain. In summary, we have established a new molecular atlas to formally define the identity of brain regions, and a molecular code for mapping and targeting of discrete neuroanatomical domains.

scholarly journals Expression of α-subunit of α-glucosidase II in adult mouse brain regions and selected organs

2014 ◽  
Vol 93 (1) ◽  
pp. 82-93 ◽  
Author(s):  
Antje Anji ◽  
Hayley Miller ◽  
Chandrasekar Raman ◽  
Mathew Phillips ◽  
Gary Ciment ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Adult Mouse ◽  
Brain Regions ◽  
Adult Mouse Brain ◽  
Α Subunit ◽  
Glucosidase Ii

scholarly journals Periaxonal and nodal plasticity modulate action potential conduction in the adult mouse brain

2019 ◽  
Author(s):  
Carlie L Cullen ◽  
Renee E Pepper ◽  
Mackenzie T Clutterbuck ◽  
Kimberley A Pitman ◽  
Viola Oorschot ◽  
...  
Keyword(s):  
Action Potential ◽  
Conduction Velocity ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Brain Regions ◽  
Adult Mouse Brain ◽  
Arrival Times ◽  
Structural Modifications ◽  
Periaxonal Space

SummaryCentral nervous system myelination increases action potential conduction velocity, however, it is unclear how myelination is coordinated to ensure the temporally precise arrival of action potentials, and facilitate information processing within cortical and associative circuits. Here, we show that mature myelin remains plastic in the adult mouse brain and can undergo subtle structural modifications to influence action potential arrival times. Repetitive transcranial magnetic stimulation and spatial learning, two stimuli that modify neuronal activity, alter the length of the nodes of Ranvier and the size of the periaxonal space within active brain regions. This change in the axon-glial configuration is independent of oligodendrogenesis and tunes conduction velocity to increase the synchronicity of action potential transit.

Majority of alpha2,6-sialylated glycans in the adult mouse brain exist in O-glycans: SALSA-MS analysis for knockout mice of alpha2,6-sialyltransferase genes

Glycobiology ◽  
2020 ◽  
Author(s):  
Yuhsuke Ohmi ◽  
Takashi Nishikaze ◽  
Yoko Kitaura ◽  
Takako Ito ◽  
Satoko Yamamoto ◽  
...  
Keyword(s):  
Sialic Acid ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Expression Profiles ◽  
T Antigen ◽  
Mass Spectrometry Analysis ◽  
Gene Products ◽  
Adult Mouse Brain ◽  
The Brain ◽  
Brain Tissues

Abstract Sialic acids are unique sugars with negative charge and exert various biological functions such as regulation of immune systems, maintenance of nerve tissues and expression of malignant properties of cancers. Alpha 2,6 sialylated N-glycans, one of representative sialylation forms, are synthesized by St6gal1 or St6gal2 gene products in humans and mice. Previously, it has been reported that St6gal1 gene is ubiquitously expressed in almost all tissues. On the other hand, St6gal2 gene is expressed mainly in the embryonic and perinatal stages of brain tissues. However, roles of St6gal2 gene have not been clarified. Expression profiles of N-glycans with terminal α2,6 sialic acid generated by St6gal gene products in the brain have never been directly studied. Using conventional lectin blotting and novel sialic acid linkage-specific alkylamidationmass spectrometry method (SALSA-MS), we investigated the function and expression of St6gal genes and profiles of their products in the adult mouse brain by establishing KO mice lacking St6gal1 gene, St6gal2 gene, or both of them (double knockout). Consequently, α2,6-sialylated N-glycans were scarcely detected in adult mouse brain tissues, and a majority of α2,6-sialylated glycans found in the mouse brain were O-linked glycans. The majority of these α2,6-sialylated O-glycans were shown to be disialyl-T antigen and sialyl-(6)T antigen by mass spectrometry analysis. Moreover, it was revealed that a few α2,6-sialylated N-glycans were produced by the action of St6gal1 gene, despite both St6gal1 and St6gal2 genes being expressed in the adult mouse brain. In the future, where and how sialylated O-linked glycoproteins function in the brain tissue remains to be clarified.

scholarly journals Developmental expression of P5 ATPase mRNA in the mouse

2012 ◽  
Vol 17 (1) ◽  
Author(s):  
Lisa Weingarten ◽  
Hardi Dave ◽  
Hongyan Li ◽  
Dorota Crawford
Keyword(s):  
Nervous System ◽  
Cerebral Cortex ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Neuronal Development ◽  
Brain Regions ◽  
Developmental Expression ◽  
Quantitative Real Time Pcr ◽  
Predominant Role ◽  
Adult Mouse Brain

AbstractP5 ATPases (ATP13A1 through ATP13A5) are found in all eukaryotes. They are currently poorly characterized and have unknown substrate specificity. Recent evidence has linked two P5 ATPases to diseases of the nervous system, suggesting possible importance of these proteins within the nervous system. In this study we determined the relative expression of mouse P5 ATPases in development using quantitative real time PCR. We have shown that ATP13A1 and ATP13A2 were both expressed similarly during development, with the highest expression levels at the peak of neurogenesis. ATP13A3 was expressed highly during organogenesis with one of its isoforms playing a more predominant role during the period of neuronal development. ATP13A5 was expressed most highly in the adult mouse brain. We also assessed the expression of these genes in various regions of the adult mouse brain. ATP13A1 to ATP13A4 were expressed differentially in the cerebral cortex, hippocampus, brainstem and cerebellum while levels of ATP13A5 were fairly constant between these brain regions. Moreover, we demonstrated expression of the ATP13A4 protein in the corresponding brain regions using immunohistochemistry. In summary, this study furthers our knowledge of P5-type ATPases and their potentially important role in the nervous system.

scholarly journals A Single Amino Acid Change in the Nuclear Localization Sequence of the nsP2 Protein Affects the Neurovirulence of Semliki Forest Virus

2002 ◽  
Vol 76 (1) ◽  
pp. 392-396 ◽  
Author(s):  
John K. Fazakerley ◽  
Amanda Boyd ◽  
Marja L. Mikkola ◽  
Leevi Kääriäinen
Keyword(s):  
Amino Acid ◽  
Mouse Brain ◽  
Nuclear Localization ◽  
Amino Acid Change ◽  
Adult Mouse ◽  
Semliki Forest Virus ◽  
Single Amino Acid ◽  
Adult Mouse Brain ◽  
Single Amino Acid Change ◽  
The Brain

ABSTRACT The replicase protein nsP2 of Semliki Forest virus (SFV) has a 648RRR nuclear localization signal and is transported to the nucleus. SFV-RDR has a single amino acid change which disrupts this sequence and nsP2 nuclear transport. In BHK cells, SFV4 and SFV-RDR replicate to high titers, but SFV-RDR is less virulent in mice. We compared the replication of SFV4 and SFV-RDR in adult mouse brain. Both SFV4 and SFV-RDR were neuroinvasive following intraperitoneal inoculation. SFV4 spread rapidly throughout the brain, whereas SFV-RDR infection was confined to small foci of cells. Both viruses infected neurons and oligodendrocytes. Both viruses induced apoptosis in cultured BHK cells but not in the cells of the adult mouse brain. SFV-RDR infection of mice lacking alpha/beta interferon receptors resulted in widespread virus distribution in the brain. Thus, a component of the viral replicase plays an important role in the neuropathogenesis of SFV.

scholarly journals Single Exposure to the Cathinones MDPV and α-PVP Alters Molecular Markers of Neuroplasticity in the Adult Mouse Brain

2021 ◽  
Vol 22 (14) ◽  
pp. 7397
Author(s):  
Lucia Caffino ◽  
Francesca Mottarlini ◽  
Sabrine Bilel ◽  
Giorgia Targa ◽  
Micaela Tirri ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Drug Users ◽  
Low Dose ◽  
Adult Mouse ◽  
Brain Plasticity ◽  
Glutamate Transporter ◽  
Brain Regions ◽  
Adult Mouse Brain ◽  
Behavioral Profile ◽  
Higher Doses

Synthetic cathinones have gained popularity among young drug users and are widely used in the clandestine market. While the cathinone-induced behavioral profile has been extensively investigated, information on their neuroplastic effects is still rather fragmentary. Accordingly, we have exposed male mice to a single injection of MDPV and α-PVP and sacrificed the animals at different time points (i.e., 30 min, 2 h, and 24 h) to have a rapid readout of the effect of these psychostimulants on neuroplasticity in the frontal lobe and hippocampus, two reward-related brain regions. We found that a single, low dose of MDPV or α-PVP is sufficient to alter the expression of neuroplastic markers in the adult mouse brain. In particular, we found increased expression of the transcription factor Npas4, increased ratio between the vesicular GABA transporter and the vesicular glutamate transporter together with changes in the expression of the neurotrophin Bdnf, confirming the widespread impact of these cathinones on brain plasticity. To sum up, exposure to low dose of cathinones can impair cortical and hippocampal homeostasis, suggesting that abuse of these cathinones at much higher doses, as it occurs in humans, could have an even more profound impact on neuroplasticity.

scholarly journals A Single-Cell Atlas of Cell Types, States, and Other Transcriptional Patterns from Nine Regions of the Adult Mouse Brain

2018 ◽  
Author(s):  
Arpiar Saunders ◽  
Evan Macosko ◽  
Alec Wysoker ◽  
Melissa Goldman ◽  
Fenna Krienen ◽  
...  
Keyword(s):  
Basal Ganglia ◽  
Substantia Nigra ◽  
Single Cell ◽  
Globus Pallidus ◽  
Mouse Brain ◽  
Adult Mouse ◽  
Adult Mouse Brain ◽  
Neuronal Populations ◽  
The Brain ◽  
Globus Pallidus Externus

The mammalian brain is composed of diverse, specialized cell populations, few of which we fully understand. To more systematically ascertain and learn from cellular specializations in the brain, we used Drop-seq to perform single-cell RNA sequencing of 690,000 cells sampled from nine regions of the adult mouse brain: frontal and posterior cortex (156,000 and 99,000 cells, respectively), hippocampus (113,000), thalamus (89,000), cerebellum (26,000), and all of the basal ganglia – the striatum (77,000), globus pallidus externus/nucleus basalis (66,000), entopeduncular/subthalamic nuclei (19,000), and the substantia nigra/ventral tegmental area (44,000). We developed computational approaches to distinguish biological from technical signals in single-cell data, then identified 565 transcriptionally distinct groups of cells, which we annotate and present through interactive online software we developed for visualizing and re-analyzing these data (DropViz). Comparison of cell classes and types across regions revealed features of brain organization. These included a neuronal gene-expression module for synthesizing axonal and presynaptic components; widely shared patterns in the combinatorial co-deployment of voltage-gated ion channels by diverse neuronal populations; functional distinctions among cells of the brain vasculature; and specialization of glutamatergic neurons across cortical regions to a degree not observed in other neuronal or non-neuronal populations. We describe systematic neuronal classifications for two complex, understudied regions of the basal ganglia, the globus pallidus externus and substantia nigra reticulata. In the striatum, where neuron types have been intensely researched, our data reveal a previously undescribed population of striatal spiny projection neurons (SPNs) comprising 4% of SPNs. The adult mouse brain cell atlas can serve as a reference for analyses of development, disease, and evolution.

scholarly journals Assessing the replicability of spatial gene expression using atlas data from the adult mouse brain

PLoS Biology ◽  
2021 ◽  
Vol 19 (7) ◽  
pp. e3001341
Author(s):  
Shaina Lu ◽  
Cantin Ortiz ◽  
Daniel Fürth ◽  
Stephan Fischer ◽  
Konstantinos Meletis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Linear Regression ◽  
Mouse Brain ◽  
Cell Biology ◽  
Adult Mouse ◽  
Brain Area ◽  
Adult Mouse Brain ◽  
Whole Brain ◽  
Spatial Expression ◽  
The Brain

High-throughput, spatially resolved gene expression techniques are poised to be transformative across biology by overcoming a central limitation in single-cell biology: the lack of information on relationships that organize the cells into the functional groupings characteristic of tissues in complex multicellular organisms. Spatial expression is particularly interesting in the mammalian brain, which has a highly defined structure, strong spatial constraint in its organization, and detailed multimodal phenotypes for cells and ensembles of cells that can be linked to mesoscale properties such as projection patterns, and from there, to circuits generating behavior. However, as with any type of expression data, cross-dataset benchmarking of spatial data is a crucial first step. Here, we assess the replicability, with reference to canonical brain subdivisions, between the Allen Institute’s in situ hybridization data from the adult mouse brain (Allen Brain Atlas (ABA)) and a similar dataset collected using spatial transcriptomics (ST). With the advent of tractable spatial techniques, for the first time, we are able to benchmark the Allen Institute’s whole-brain, whole-transcriptome spatial expression dataset with a second independent dataset that similarly spans the whole brain and transcriptome. We use regularized linear regression (LASSO), linear regression, and correlation-based feature selection in a supervised learning framework to classify expression samples relative to their assayed location. We show that Allen Reference Atlas labels are classifiable using transcription in both data sets, but that performance is higher in the ABA than in ST. Furthermore, models trained in one dataset and tested in the opposite dataset do not reproduce classification performance bidirectionally. While an identifying expression profile can be found for a given brain area, it does not generalize to the opposite dataset. In general, we found that canonical brain area labels are classifiable in gene expression space within dataset and that our observed performance is not merely reflecting physical distance in the brain. However, we also show that cross-platform classification is not robust. Emerging spatial datasets from the mouse brain will allow further characterization of cross-dataset replicability ultimately providing a valuable reference set for understanding the cell biology of the brain.

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