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 ◽  
...  

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.

2002 ◽  
Vol 76 (1) ◽  
pp. 392-396 ◽  
Author(s):  
John K. Fazakerley ◽  
Amanda Boyd ◽  
Marja L. Mikkola ◽  
Leevi Kääriäinen

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.


2020 ◽  
Vol 6 (26) ◽  
pp. eabb3446 ◽  
Author(s):  
Cantin Ortiz ◽  
Jose Fernandez Navarro ◽  
Aleksandra Jurek ◽  
Antje Märtin ◽  
Joakim Lundeberg ◽  
...  

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.


2018 ◽  
Author(s):  
Arpiar Saunders ◽  
Evan Macosko ◽  
Alec Wysoker ◽  
Melissa Goldman ◽  
Fenna Krienen ◽  
...  

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.


PLoS Biology ◽  
2021 ◽  
Vol 19 (7) ◽  
pp. e3001341
Author(s):  
Shaina Lu ◽  
Cantin Ortiz ◽  
Daniel Fürth ◽  
Stephan Fischer ◽  
Konstantinos Meletis ◽  
...  

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.


2017 ◽  
Vol 91 (6) ◽  
Author(s):  
Anthony N. van den Pol ◽  
Guochao Mao ◽  
Anasuya Chattopadhyay ◽  
John K. Rose ◽  
John N. Davis

ABSTRACT Recombinant vesicular stomatitis virus (VSV)-based chimeric viruses that include genes from other viruses show promise as vaccines and oncolytic viruses. However, the critical safety concern is the neurotropic nature conveyed by the VSV glycoprotein. VSVs that include the VSV glycoprotein (G) gene, even in most recombinant attenuated strains, can still show substantial adverse or lethal actions in the brain. Here, we test 4 chimeric viruses in the brain, including those in which glycoprotein genes from Nipah, chikungunya (CHIKV), and influenza H5N1 viruses were substituted for the VSV glycoprotein gene. We also test a virus-like vesicle (VLV) in which the VSV glycoprotein gene is expressed from a replicon encoding the nonstructural proteins of Semliki Forest virus. VSVΔG-CHIKV, VSVΔG-H5N1, and VLV were all safe in the adult mouse brain, as were VSVΔG viruses expressing either the Nipah F or G glycoprotein. In contrast, a complementing pair of VSVΔG viruses expressing Nipah G and F glycoproteins were lethal within the brain within a surprisingly short time frame of 2 days. Intranasal inoculation in postnatal day 14 mice with VSVΔG-CHIKV or VLV evoked no adverse response, whereas VSVΔG-H5N1 by this route was lethal in most mice. A key immune mechanism underlying the safety of VSVΔG-CHIKV, VSVΔG-H5N1, and VLV in the adult brain was the type I interferon response; all three viruses were lethal in the brains of adult mice lacking the interferon receptor, suggesting that the viruses can infect and replicate and spread in brain cells if not blocked by interferon-stimulated genes within the brain. IMPORTANCE Vesicular stomatitis virus (VSV) shows considerable promise both as a vaccine vector and as an oncolytic virus. The greatest limitation of VSV is that it is highly neurotropic and can be lethal within the brain. The neurotropism can be mostly attributed to the VSV G glycoprotein. Here, we test 4 chimeric viruses of VSV with glycoprotein genes from Nipah, chikungunya, and influenza viruses and nonstructural genes from Semliki Forest virus. Two of the four, VSVΔG-CHIKV and VLV, show substantially attenuated neurotropism and were safe in the healthy adult mouse brain. VSVΔG-H5N1 was safe in the adult brain but lethal in the younger brain. VSVΔG Nipah F+G was even more neurotropic than wild-type VSV, evoking a rapid lethal response in the adult brain. These results suggest that while chimeric VSVs show promise, each must be tested with both intranasal and intracranial administration to ensure the absence of lethal neurotropism.


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