The mouse MPTP model: gene expression changes in dopaminergic neurons

2002 ◽  
Vol 17 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Kati Kühn ◽  
Jennifer Wellen ◽  
Nina Link ◽  
Lyutha Maskri ◽  
Hermann Lübbert ◽  
...  
2015 ◽  
Vol 15 (3) ◽  
pp. 318-326 ◽  
Author(s):  
K. Marballi ◽  
N. K. Genabai ◽  
Y. A. Blednov ◽  
R. A. Harris ◽  
I. Ponomarev

Author(s):  
Xin He ◽  
Yue Xie ◽  
Qiongping Zheng ◽  
Zeyu Zhang ◽  
Shanshan Ma ◽  
...  

Impairment of autophagy has been strongly implicated in the progressive loss of nigral dopaminergic neurons in Parkinson’s disease (PD). Transcription factor E3 (TFE3), an MiTF/TFE family transcription factor, has been identified as a master regulator of the genes that are associated with lysosomal biogenesis and autophagy. However, whether TFE3 is involved in parkinsonian neurodegeneration remains to be determined. In this study, we found decreased TFE3 expression in the nuclei of the dopaminergic neurons of postmortem human PD brains. Next, we demonstrated that TFE3 knockdown led to autophagy dysfunction and neurodegeneration of dopaminergic neurons in mice, implying that reduction of nuclear TFE3 may contribute to autophagy dysfunction-mediated cell death in PD. Further, we showed that enhancement of autophagy by TFE3 overexpression dramatically reversed autophagy downregulation and dopaminergic neurons loss in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) model of PD. Taken together, these findings demonstrate that TFE3 plays an essential role in maintaining autophagy and the survival of dopaminergic neurons, suggesting TFE3 activation may serve as a promising strategy for PD therapy.


2005 ◽  
Vol 14 (13) ◽  
pp. 1709-1725 ◽  
Author(s):  
Chee Yeun Chung ◽  
Hyemyung Seo ◽  
Kai Christian Sonntag ◽  
Andrew Brooks ◽  
Ling Lin ◽  
...  

2017 ◽  
Author(s):  
Mónica Tapia Pacheco ◽  
Pierre Baudot ◽  
Martial A. Dufour ◽  
Christine Formisano-Tréziny ◽  
Simone Temporal ◽  
...  

SUMMARY PARAGRAPHExtracting high-degree interactions and dependences between variables (pairs, triplets, … k-tuples) is a challenge posed by all omics approaches1, 2. Here we used multivariate mutual information (Ik) analysis3 on single-cell retro-transcription quantitative PCR (sc-RTqPCR) data obtained from midbrain neurons to estimate the k-dimensional topology of their gene expression profiles. 41 mRNAs were quantified and statistical dependences in gene expression levels could be fully described for 21 genes: Ik analysis revealed a complex combinatorial structure including modules of pairs, triplets (up to 6-tuples) sharing strong positive, negative or zero Ik, corresponding to co-varying, clustering and independent sets of genes, respectively. Therefore, Ik analysis simultaneously identified heterogeneity (negative Ik) of the cell population under study and regulatory principles conserved across the population (homogeneity, positive Ik). Moreover, maximum information paths enabled to determine the size and stability of such transcriptional modules. Ik analysis represents a new topological and statistical method of data analysis.


PLoS ONE ◽  
2011 ◽  
Vol 6 (12) ◽  
pp. e28420 ◽  
Author(s):  
Hany E. S. Marei ◽  
Asma Althani ◽  
Nahla Afifi ◽  
Fabrizio Michetti ◽  
Mario Pescatori ◽  
...  

eNeuro ◽  
2020 ◽  
pp. ENEURO.0234-20.2020
Author(s):  
Anna Radlicka ◽  
Kinga Kamińska ◽  
Malgorzata Borczyk ◽  
Marcin Piechota ◽  
Michał Korostyński ◽  
...  

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