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  Characterizing the differential distribution and targets of Sumo1 and Sumo2 in the mouse brain

Suk, T. R., Tirard, M. T., Fisk, Z. A., Mitkovski, M., Geertsma, H. M., Parmasad, J.-L.-A., et al. (2023). Characterizing the differential distribution and targets of Sumo1 and Sumo2 in the mouse brain. iScience, 26(4): 106350. doi:10.1016/j.isci.2023.106350.

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 Creators:
Suk, Terry R., Author
Tirard, Marilyn T., Author
Fisk, Zoe A., Author
Mitkovski, Mišo1, Author           
Geertsma, Haley M., Author
Parmasad, Jean-Louis A., Author
Heer, Meghan M., Author
Callaghan, Steve M., Author
Benseler, Fritz2, Author           
Brose, Nils2, Author           
Tirard, Marilyn2, Author           
Rousseaux, Maxime W. C., Author
Affiliations:
1Facility for Light Microscopy, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3350312              
2Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Max Planck Society, ou_3350300              

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 Abstract: SUMOylation is an evolutionarily conserved eukaryotic posttranslational protein modification with broad biological relevance. Differentiating between the major small ubiquitin-like modifier (SUMO) paralogs and uncovering paralog-specific functions in vivo has long been very difficult. To overcome this problem, we generated His6-HA-Sumo2 and HA-Sumo2 knockin mouse lines, expanding upon our existing His6-HA-Sumo1 mouse line, to establish a “toolbox” for Sumo1-Sumo2 comparisons in vivo. Leveraging the specificity of the HA epitope, we performed whole-brain imaging and uncovered regional differences between Sumo1 and Sumo2 expression. At the subcellular level, Sumo2 was specifically detected in extranuclear compartments, including synapses. Immunoprecipitation coupled with mass spectrometry identified shared and specific neuronal targets of Sumo1 and Sumo2. Target validation using proximity ligation assays provided further insight into the subcellular distribution of neuronal Sumo2-conjugates. The mouse models and associated datasets provide a powerful framework to determine the native SUMO “code” in cells of the central nervous system.

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Language(s): eng - English
 Dates: 2023-03-092023-04-21
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.isci.2023.106350
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Project name : This research was supported in part by an NSERC Discovery Grant and Discovery Launch Supplement to M.W.C.R. (RGPIN-2019-04133 and DGECR-2019-00369); the Canada Research Chairs program to M.W.C.R.; German Research Foundation, SFB1286/A09 to N.B. and M.T.; the ALS Society of Canada in partnership with the Brain Canada Foundation through the Brain Canada Research Fund, with the financial support of Health Canada, for financial support through the ALS Trainee Award Program 2019 (T.R.S.); an NSERC Undergraduates Student Research Award to T.T.N.; the Ontario Graduate Scholarship (H.M.G.), the Queen Elizabeth II Scholarship (H.M.G.), and a CIHR Canadian Graduate Scholarship (H.M.G.). M.W.C.R. thanks H.Y. Zoghbi (Baylor College of Medicine, HHMI) for initial project discussions, reagent development, and the freedom to explore new ideas.
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Title: iScience
Source Genre: Journal
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Publ. Info: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Pages: - Volume / Issue: 26 (4) Sequence Number: 106350 Start / End Page: - Identifier: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042