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  Multi-Omics Analysis Reveals Myelin, Presynaptic and Nicotinate Alterations in the Hippocampus of G72/G30 Transgenic Mice

Filiou, M. D., Teplytska, L., Nussbaumer, M., Otte, D.-M., Zimmer, A., & Turck, C. W. (2022). Multi-Omics Analysis Reveals Myelin, Presynaptic and Nicotinate Alterations in the Hippocampus of G72/G30 Transgenic Mice. JOURNAL OF PERSONALIZED MEDICINE, 12(2): 244. doi:10.3390/jpm12020244.

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Filiou, Michaela D.1, Autor           
Teplytska, Larysa1, Autor           
Nussbaumer, Markus, Autor
Otte, David-M., Autor
Zimmer, Andreas, Autor
Turck, Christoph W.1, Autor           
Affiliations:
1RG Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Max Planck Society, ou_2040287              

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 Zusammenfassung: The primate-specific G72/G30 gene locus has been associated with major psychiatric disorders, such as schizophrenia and bipolar disorder. We have previously generated transgenic mice which carry the G72/G30 locus and express the longest G72 splice variant (LG72) protein encoded by this locus with schizophrenia-related symptoms. Here, we used a multi-omics approach, including quantitative proteomics and metabolomics to investigate molecular alterations in the hippocampus of G72/G30 transgenic (G72Tg) mice. Our proteomics analysis revealed decreased expression of myelin-related proteins and NAD-dependent protein deacetylase sirtuin-2 (Sirt2) as well as increased expression of the scaffolding presynaptic proteins bassoon (Bsn) and piccolo (Pclo) and the cytoskeletal protein plectin (Plec1) in G72Tg compared to wild-type (WT) mice. Metabolomics analysis indicated decreased levels of nicotinate in G72Tg compared to WT hippocampi. Decreased hippocampal protein expression for selected proteins, namely myelin oligodentrocyte glycoprotein (Mog), Cldn11 and myelin proteolipid protein (Plp), was confirmed with Western blot in a larger population of G72Tg and WT mice. The identified molecular pathway alterations shed light on the hippocampal function of LG72 protein in the context of neuropsychiatric phenotypes.

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 Datum: 2022
 Publikationsstatus: Online veröffentlicht
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 Identifikatoren: ISI: 000770671500001
DOI: 10.3390/jpm12020244
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Titel: JOURNAL OF PERSONALIZED MEDICINE
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 12 (2) Artikelnummer: 244 Start- / Endseite: - Identifikator: -