Nurr1 modulation mediates neuroprotective effects of statins

AbstractThe ligand-sensing transcription factor Nurr1 emerges as a promising therapeutic target for neurodegenerative pathologies but Nurr1 ligands for functional studies and therapeutic validation are lacking. Here we report pronounced Nurr1 modulation by statins for which clinically relevant neuroprotective effects have been demonstrated. Several statins directly affected Nurr1 activity in cellular and cell-free settings with low micromolar to sub-micromolar potencies. Simvastatin exhibited anti-inflammatory effects in astrocytes which were abrogated by Nurr1 knockdown. Differential gene expression analysis in native and Nurr1 silenced cells revealed strong proinflammatory effects of Nurr1 knockdown while simvastatin treatment induced several neuroprotective mechanisms via Nurr1, for example, in energy utilization and reduced apoptosis. These findings suggest Nurr1 involvement in the well-documented but mechanistically elusive neuroprotection by statins.

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Differential Gene Expression Analysis of Aspergillus terreus Reveals Metabolic Response and Transcription Suppression under Dissolved Oxygen and pH Stress

Journal of Evolutionary Biochemistry and Physiology ◽

10.1134/s0022093020060101 ◽

2020 ◽

Vol 56 (6) ◽

pp. 577-586

Author(s):

P. Songserm ◽

P. Srimongkol ◽

S. Thitiprasert ◽

S. Tanasupawat ◽

B. Cheirsilp ◽

...

Keyword(s):

Gene Expression ◽

Dissolved Oxygen ◽

Differential Gene Expression ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Aspergillus Terreus ◽

Metabolic Response ◽

Differential Gene Expression Analysis ◽

Differential Gene ◽

Transcription Suppression

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Transcriptome Sequencing and Differential Gene Expression Analysis of Delayed Gland Morphogenesis in Gossypium australe during Seed Germination

PLoS ONE ◽

10.1371/journal.pone.0075323 ◽

2013 ◽

Vol 8 (9) ◽

pp. e75323 ◽

Cited By ~ 18

Author(s):

Tao Tao ◽

Liang Zhao ◽

Yuanda Lv ◽

Jiedan Chen ◽

Yan Hu ◽

...

Keyword(s):

Gene Expression ◽

Seed Germination ◽

Differential Gene Expression ◽

Expression Analysis ◽

Transcriptome Sequencing ◽

Gene Expression Analysis ◽

Differential Gene Expression Analysis ◽

Differential Gene ◽

Gland Morphogenesis

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Differential gene expression analysis in 1,25(OH)2D3 treated human monocytes establishes link between AIDS progression, neurodegenerative disorders, and aging

Meta Gene ◽

10.1016/j.mgene.2021.100886 ◽

2021 ◽

Vol 28 ◽

pp. 100886

Author(s):

Biswajit Biswas ◽

Ritobrata Goswami

Keyword(s):

Gene Expression ◽

Differential Gene Expression ◽

Expression Analysis ◽

Neurodegenerative Disorders ◽

Gene Expression Analysis ◽

Human Monocytes ◽

Differential Gene Expression Analysis ◽

Aids Progression ◽

Differential Gene

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Transcriptome sequencing and differential gene expression analysis reveal the mechanisms involved in seed germination and protocorm development of Calanthe tsoongiana

Gene ◽

10.1016/j.gene.2020.145355 ◽

2021 ◽

Vol 772 ◽

pp. 145355

Author(s):

Yating Jiang ◽

Min Tian ◽

Caixia Wang ◽

Ying Zhang

Keyword(s):

Gene Expression ◽

Seed Germination ◽

Differential Gene Expression ◽

Expression Analysis ◽

Transcriptome Sequencing ◽

Gene Expression Analysis ◽

Differential Gene Expression Analysis ◽

Differential Gene

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Differential gene expression analysis in Enchytraeus albidus exposed to natural and chemical stressors at different exposure periods

Ecotoxicology ◽

10.1007/s10646-011-0780-4 ◽

2011 ◽

Vol 21 (1) ◽

pp. 213-224 ◽

Cited By ~ 9

Author(s):

Sara C. Novais ◽

Clara F. Howcroft ◽

Laura Carreto ◽

Patrícia M. Pereira ◽

Manuel A. S. Santos ◽

...

Keyword(s):

Gene Expression ◽

Differential Gene Expression ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Differential Gene Expression Analysis ◽

Differential Gene

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322 Differential gene expression analysis of cutaneous lupus in mouse and human creates new insights into disease pathogenesis

Journal of Investigative Dermatology ◽

10.1016/j.jid.2017.02.338 ◽

2017 ◽

Vol 137 (5) ◽

pp. S55

Author(s):

W. Ko ◽

P. Mande ◽

A. Marshak-Rothstein ◽

J.E. Harris

Keyword(s):

Gene Expression ◽

Differential Gene Expression ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Disease Pathogenesis ◽

Differential Gene Expression Analysis ◽

Differential Gene ◽

Cutaneous Lupus

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Identification of Hub Genes Associated with Development of Lung Adenocarcinoma by Integrated Bioinformatics Analysis

10.21203/rs.3.rs-550498/v1 ◽

2021 ◽

Author(s):

Jinglei Li ◽

Wei Hou

Keyword(s):

Gene Expression ◽

Survival Analysis ◽

Network Analysis ◽

Lung Adenocarcinoma ◽

Normal Control ◽

Gene Expression Analysis ◽

Normal Control Group ◽

Control Group ◽

Differential Gene Expression Analysis ◽

Differential Gene

Abstract Purpose: Lung adenocarcinoma (LUAD) has high heterogeneity and poor prognosis, posing a major challenge to human health worldwide. Therefore, it is necessary to improve our understanding of the molecular mechanism of LUAD in order to be able to better predict its prognosis and develop new therapeutic strategies for target genes.Methods: The Cancer Genome Atlas and Gene Expression Omnibus, were selected to comprehensively analyze and explore the differences between LUAD tumors and adjacent normal tissues. Critical gene information was obtained through weighted gene co-expression network analysis (WGCNA), differential gene expression analysis, and survival analysis.Results: Using WGCNA and differential gene expression analysis, 29 differentially expressed genes were screened. The functional annotation analysis showed these genes to be mainly concentrated in heart trabecula formation, regulation of inflammatory response, collagen-containing extracellular matrix, and metalloendopeptidase inhibitor activity. Also, in the protein–protein interaction network analysis, 10 central genes were identified using Cytoscape's CytoHubba plug-in. The expression of CDH5, TEK, TIMP3, EDNRB, EPAS1, MYL9, SPARCL1, KLF4, and TGFBR3 in LUAD tissue was found to be lower than that in the normal control group, while the expression of MMP1 in LUAD tissue was higher than that in the normal control group. According to survival analysis, the low expression of MYL9 and SPARCL1 was correlated with poor overall survival in patients with LUAD. Finally, through the verification of the Oncomine database, it was found that the expression levels of MYL9 and SPARCL1 were consistent with the mRNA levels in LUAD samples, and both were downregulated.Conclusion: Two survival-related genes, MYL9 and SPARCL1, were determined to be highly correlated with the development of LUAD. Both may play an essential role in the development LUAD and may be potential biomarkers for its diagnosis and treatment in the future.

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