RNA sequencing and proteomics approaches reveal novel deficits in the cortex of Mecp2-deficient mice, a model for Rett syndrome
Authors
Pacheco, Natasha L.Heaven, Michael R.
Holt, Leanne M.
Crossman, David K.
Boggio, Kristin J.
Shaffer, Scott A.
Flint, Daniel L.
Olsen, Michelle L.
UMass Chan Affiliations
Proteomics and Mass Spectrometry Facility, Department of Biochemistry and Molecular PharmacologyDocument Type
Journal ArticlePublication Date
2017-10-24Keywords
Multi-cellular deficitsProteome
Rett syndrome
Transcriptome
Congenital, Hereditary, and Neonatal Diseases and Abnormalities
Genetic Phenomena
Genetics and Genomics
Investigative Techniques
Molecular Biology
Nervous System Diseases
Neuroscience and Neurobiology
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BACKGROUND: Rett syndrome (RTT) is an X-linked neurodevelopmental disorder caused by mutations in the transcriptional regulator MeCP2. Much of our understanding of MeCP2 function is derived from transcriptomic studies with the general assumption that alterations in the transcriptome correlate with proteomic changes. Advances in mass spectrometry-based proteomics have facilitated recent interest in the examination of global protein expression to better understand the biology between transcriptional and translational regulation. METHODS: We therefore performed the first comprehensive transcriptome-proteome comparison in a RTT mouse model to elucidate RTT pathophysiology, identify potential therapeutic targets, and further our understanding of MeCP2 function. The whole cortex of wild-type and symptomatic RTT male littermates (n = 4 per genotype) were analyzed using RNA-sequencing and data-independent acquisition liquid chromatography tandem mass spectrometry. Ingenuity(R) Pathway Analysis was used to identify significantly affected pathways in the transcriptomic and proteomic data sets. RESULTS: Our results indicate these two "omics" data sets supplement one another. In addition to confirming previous works regarding mRNA expression in Mecp2-deficient animals, the current study identified hundreds of novel protein targets. Several selected protein targets were validated by Western blot analysis. These data indicate RNA metabolism, proteostasis, monoamine metabolism, and cholesterol synthesis are disrupted in the RTT proteome. Hits common to both data sets indicate disrupted cellular metabolism, calcium signaling, protein stability, DNA binding, and cytoskeletal cell structure. Finally, in addition to confirming disrupted pathways and identifying novel hits in neuronal structure and synaptic transmission, our data indicate aberrant myelination, inflammation, and vascular disruption. Intriguingly, there is no evidence of reactive gliosis, but instead, gene, protein, and pathway analysis suggest astrocytic maturation and morphological deficits. CONCLUSIONS: This comparative omics analysis supports previous works indicating widespread CNS dysfunction and may serve as a valuable resource for those interested in cellular dysfunction in RTT.Source
Mol Autism. 2017 Oct 24;8:56. doi: 10.1186/s13229-017-0174-4. eCollection 2017. Link to article on publisher's site
DOI
10.1186/s13229-017-0174-4Permanent Link to this Item
http://hdl.handle.net/20.500.14038/40493PubMed ID
29090078Related Resources
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© The Author(s). 2017 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.1186/s13229-017-0174-4
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Except where otherwise noted, this item's license is described as © The Author(s). 2017 Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.