![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
5MB | |
![[img]](http://edoc.mdc-berlin.de/style/images/fileicons/other.png) |
Other (Supplementary Information)
6MB |
| Item Type: | Article |
|---|---|
| Title: | Massively parallel identification of mRNA localization elements in primary cortical neurons |
| Creators Name: | Mendonsa, S. and von Kügelgen, N. and Dantsuji, S. and Ron, M. and Breimann, L. and Baranovskii, A. and Lödige, I. and Kirchner, M. and Fischer, M. and Zerna, N. and Bujanic, L. and Mertins, P. and Ulitsky, I. and Chekulaeva, M. |
| Abstract: | Cells adopt highly polarized shapes and form distinct subcellular compartments in many cases due to the localization of many mRNAs to specific areas, where they are translated into proteins with local functions. This mRNA localization is mediated by specific cis-regulatory elements in mRNAs, commonly called ‘zipcodes’. Although there are hundreds of localized mRNAs, only a few zipcodes have been characterized. Here we describe a novel neuronal zipcode identification protocol (N-zip) that can identify zipcodes across hundreds of 3′ untranslated regions. This approach combines a method of separating the principal subcellular compartments of neurons—cell bodies and neurites—with a massively parallel reporter assay. N-zip identifies the let-7 binding site and (AU)n motif as de novo zipcodes in mouse primary cortical neurons. Our analysis also provides, to our knowledge, the first demonstration of an miRNA affecting mRNA localization and suggests a strategy for detecting many more zipcodes. |
| Keywords: | Messenger RNA, Neurites, Animals, Mice |
| Source: | Nature Neuroscience |
| ISSN: | 1097-6256 |
| Publisher: | Nature Publishing Group |
| Volume: | 26 |
| Number: | 3 |
| Page Range: | 394-405 |
| Date: | March 2023 |
| Official Publication: | https://doi.org/10.1038/s41593-022-01243-x |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
