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The function of lncRNA is currently incompletely understood in any system, including neurons. We here propose to use our developed quantitative RNA-centered interactomics to map protein binders to diverse neuronal lncRNA within this Priority Program. Additionally, we aim to further develop this to a sensitive in vivo technique that will allow purification of lncRNP from neuronal cells to enhance the characterization of lncRNA functionality. This approach is extendable to other RNA species such as miRNA.
Winzi M., Casas-Vila N., Paszkowski-Rogacz M., Ding L., Noack S., Theis M., Butter F. and Buchholz F. The long noncoding RNA lncR492 inhibits neural differentiation in ESC by activation of Wnt signaling. PLOS One (2018) 13, e0191682.
Despic V., Dejung M., Gu M., Krishnan J., Zhang J., Herzel L., Straube K., Gerstein M.B., Butter F. and Neugebauer K.M. Dynamic RNA-protein interactions underlie the zebrafish maternal-to-zygotic transition. Genome Res. (2017) 27, 1184-1194.
Hornburg D., Drepper C., Butter F., Meissner F., Sendtner M., Mann M. Deep proteomic evaluation of primary and cell line motoneuron disease models delineates major differences in neuronal characteristics. Mol. Cell. Proteomics (2014) 13, 3410-3420.
Scheibe M., Arnoult N., Kappei D., Buchholz F., Decottignies A., Butter F.# and Mann M.# Quantitative interaction screen of telomeric repeat-containing RNA reveals novel TERRA regulators. Genome Res. (2013) 23: 2149-2157
Klaas D., Scheibe M., Butter F., Hogan G.J., Mann M. and Brown P.O. Quantitative proteomic analysis reveals concurrent RNA-protein interactions and identifies new RNA-binding proteins in Saccharomyces cerevisiae. Genome Res. (2013) 23, 1028-38.
Butter F., Scheibe M., Mörl M. and Mann M. Unbiased RNA-protein interaction screen by quantitative proteomics. Proc. Natl. Acad. Sci. U S A (2009) 106, 10626-10631.