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Zhang L, Zhu B, Zhou X, Ning H, Zhang F, Yan B, Chen J, Ma T. ZNF787 and HDAC1 Mediate Blood-Brain Barrier Permeability in an In Vitro Model of Alzheimer's Disease Microenvironment. Neurotox Res 2024; 42:12. [PMID: 38329647 DOI: 10.1007/s12640-024-00693-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/19/2023] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
The permeability of the blood-brain barrier (BBB) is increased in Alzheimer's disease (AD). This plays a key role in the instigation and maintenance of chronic inflammation during AD. Experiments using AD models showed that the increased permeability of the BBB was mainly caused by the decreased expression of tight junction-related proteins occludin and claudin-5. In this study, we found that ZNF787 and HDAC1 were upregulated in β-amyloid (Aβ)1-42-incubated endothelial cells, resulting in increased BBB permeability. Conversely, the silencing of ZNF787 and HDAC1 by RNAi led to reduced BBB permeability. The silencing of ZNF787 and HDAC1 enhanced the expression of occludin and claudin-5. Mechanistically, ZNF787 binds to promoter regions for occludin and claudin-5 and functions as a transcriptional regulator. Furthermore, we demonstrate that ZNF787 interacts with HDAC1, and this resulted in the downregulation of the expression of genes encoding tight junction-related proteins to increase in BBB permeability. Taken together, our study identifies critical roles for the interaction between ZNF787 and HDAC1 in regulating BBB permeability and the pathogenesis of AD.
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Affiliation(s)
- Lu Zhang
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Baicheng Zhu
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Xinxin Zhou
- Liaoning University of Traditional Chinese Medicine, Shenyang, 110034, China
| | - Hao Ning
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Fengying Zhang
- Department of Neurology, Affiliated Nanhua Hospital, University of South China, Hengyang, 421001, China
| | - Bingju Yan
- Department of Cardiology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121000, China
| | - Jiajia Chen
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Teng Ma
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China.
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Kutsche LK, Gysi DM, Fallmann J, Lenk K, Petri R, Swiersy A, Klapper SD, Pircs K, Khattak S, Stadler PF, Jakobsson J, Nowick K, Busskamp V. Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis. Cell Syst 2018; 7:438-452.e8. [PMID: 30292704 PMCID: PMC6205824 DOI: 10.1016/j.cels.2018.08.011] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 07/12/2018] [Accepted: 08/23/2018] [Indexed: 02/07/2023]
Abstract
Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 has been assigned as a key player of neuronal differentiation via its complex but little understood regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human induced pluripotent stem cells. Upon neuronal induction, miR-124-deleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. Using RNA-induced-silencing-complex precipitation, we identified 98 high-confidence miR-124 targets, of which some directly led to decreased viability. By performing advanced transcription-factor-network analysis, we identified indirect miR-124 effects on apoptosis, neuronal subtype differentiation, and the regulation of previously uncharacterized zinc finger transcription factors. Our data emphasize the need for combined experimental- and system-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain. miR-124 is not essential for neurogenesis from human iPSCs miR-124 regulation mediates neuroprotection and refines neuronal cell fates miRNA knockout characterization by experimental and advanced computational analyses Identification of 98 targets including the neuronal feature repressor ZNF787
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Affiliation(s)
- Lisa K Kutsche
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany
| | - Deisy M Gysi
- Department of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany; Faculty of Mathematics and Computer Science, Swarm Intelligence and Complex Systems Group, University of Leipzig, Leipzig 04109, Germany; Faculty for Biology, Chemistry and Pharmacy, Freie Universität Berlin, Institute for Biology, Berlin 14195, Germany
| | - Joerg Fallmann
- Department of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany
| | - Kerstin Lenk
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany
| | - Rebecca Petri
- Department of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden
| | - Anka Swiersy
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany
| | - Simon D Klapper
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany
| | - Karolina Pircs
- Department of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden
| | - Shahryar Khattak
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany
| | - Peter F Stadler
- Department of Computer Science, Bioinformatics Group, Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig 04107, Germany; Max Planck Institute for Mathematics in the Sciences, Leipzig 04103, Germany; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
| | - Johan Jakobsson
- Department of Experimental Medical Science, Laboratory of Molecular Neurogenetics, Wallenberg Neuroscience Center and Lund Stem Cell Center, Lunds Universitet, Lund 22184, Sweden
| | - Katja Nowick
- Faculty for Biology, Chemistry and Pharmacy, Freie Universität Berlin, Institute for Biology, Berlin 14195, Germany
| | - Volker Busskamp
- Technische Universität Dresden, DFG Research Center for Regenerative Therapies, Dresden 01307, Germany.
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