Peroxiredoxin distribution in the mouse brain with emphasis on neuronal populations affected in neurodegenerative disorders

2011 ◽  
Vol 520 (2) ◽  
pp. 258-280 ◽  
Author(s):  
Julie Goemaere ◽  
Bernard Knoops
2007 ◽  
Vol 502 (6) ◽  
pp. 953-972 ◽  
Author(s):  
Su Ying Chang ◽  
Edward Zagha ◽  
Elaine S. Kwon ◽  
Andres Ozaita ◽  
Marketta Bobik ◽  
...  

2017 ◽  
Author(s):  
Zhou Hang ◽  
Li Shiwei ◽  
Li Anan ◽  
Xiong Feng ◽  
Li Ning ◽  
...  

AbstractRecent progresses allow imaging specific neuronal populations at single-axon level across mouse brain. However, digital reconstruction of neurons in large dataset requires months of human labor. Here, we developed a tool to solve this problem. Our tool offers a special error-screening system for fast localization of submicron errors in densely packed neurites and along long projection across the whole brain, thus achieving reconstruction close to the ground-truth. Moreover, our tool equips algorithms that significantly reduce intensive manual interferences and achieve high-level automation, with speed 5 times faster compared to semi-automatic tools. We also demonstrated reconstruction of 35 long projection neurons around one injection site of a mouse brain at an affordable time cost. Our tool is applicable with datasets of 10 TB or higher from various light microscopy, and provides a starting point for the reconstruction of neuronal population for neuroscience studies at a single-cell level.


2020 ◽  
Vol 48 (07) ◽  
pp. 1651-1669
Author(s):  
Wei-Ti Hsu ◽  
Yi-Hung Chen ◽  
Han-Bin Yang ◽  
Jaung-Geng Lin ◽  
Shih-Ya Hung

Autophagic defects are a hallmark of neurodegenerative disorders, such as Parkinson’s disorder (PD). Enhancing autophagy to remove impaired mitochondria and toxic protein aggregation is an essential component of PD treatment. In particular, activation of autophagy confers neuroprotection in cellular and preclinical models of neurodegenerative diseases. In this study, we investigated the therapeutic mechanisms of electroacupuncture (EA) treatment in mice with established PD and evaluated the relationship between EA, autophagy, and different neurons in the mouse brain. We report that EA improves PD motor symptoms in mice and enhances (1) autophagy initiation (increased Beclin 1), (2) autophagosome biogenesis (increased Atg5, Atg7, Atg9A, Atg12, Atg16L, Atg3, and LC3-II), (3) autophagy flux/substrate degradation (decreased p62), and (4) mitophagy (increased PINK1 and DJ-1) in neurons of the substantia nigra, striatum, hippocampus, and cortex (affected brain areas of PD, Huntington disease, and Alzheimer’s disease). EA enhances autophagy initiation, autophagosome biogenesis, mitophagy, and autophagy flux/substrate degradation in certain brain areas. Our findings are the first to show that EA regulates neuronal autophagy and suggest that this convenient, inexpensive treatment has exciting therapeutic potential in neurodegenerative disorders.


PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63133 ◽  
Author(s):  
Jaclyn Nicole Le Grand ◽  
Karine Bon ◽  
Annick Fraichard ◽  
Jianhua Zhang ◽  
Michèle Jouvenot ◽  
...  

2017 ◽  
Author(s):  
Douglas H. Roossien ◽  
John M. Webb ◽  
Benjamin V. Sadis ◽  
Yan Yan ◽  
Lia Y. Min ◽  
...  

AbstractAccurate and complete neuronal wiring diagrams are necessary for understanding brain function at many scales from long-range interregional projections to microcircuits. Traditionally, light microscopy-based anatomical reconstructions use monochromatic labeling and therefore necessitate sparse labeling to eliminate tracing ambiguity between intermingled neurons. Consequently, our knowledge of neuronal morphology has largely been based on averaged estimations across many samples. Recently developed second-generation Brainbow tools promise to circumvent this limitation by revealing fine anatomical details of many unambiguously identifiable neurons in densely labeled samples. Yet, a means to quantify and analyze the information is currently lacking. Therefore, we developed nTracer, an ImageJ plugin capable of rapidly and accurately reconstructing whole-cell morphology of large neuronal populations in densely labeled brains.


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.


Author(s):  
Beena M. Kadakkuzha ◽  
Xin-An Liu ◽  
Jennifer McCrate ◽  
Gautam Shankar ◽  
Valerio Rizzo ◽  
...  

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