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Engineering REST-Specific Synthetic PUF Proteins to Control Neuronal Gene Expression: A Combined Experimental and Computational Study

Criscuolo S.
•
Gatti Iou M.
•
Merolla A.
altro
Benfenati F.
2020
  • journal article

Periodico
ACS SYNTHETIC BIOLOGY
Abstract
Regulation of gene transcription is an essential mechanism for differentiation and adaptation of organisms. A key actor in this regulation process is the repressor element 1 (RE1)-silencing transcription factor (REST), a transcriptional repressor that controls more than 2000 putative target genes, most of which are neuron-specific. With the purpose of modulating REST expression, we exploited synthetic, ad hoc designed, RNA binding proteins (RBPs) able to specifically target and dock to REST mRNA. Among the various families of RBPs, we focused on the Pumilio and FBF (PUF) proteins, present in all eukaryotic organisms and controlling a variety of cellular functions. Here, a combined experimental and computational approach was used to design and test 8- and 16-repeat PUF proteins specific for REST mRNA. We explored the conformational properties and atomic features of the PUF-RNA recognition code by Molecular Dynamics simulations. Biochemical assays revealed that the 8- and 16-repeat PUF-based variants specifically bind the endogenous REST mRNA without affecting its translational regulation. The data also indicate a key role of stacking residues in determining the binding specificity. The newly characterized REST-specific PUF-based constructs act as excellent RNA-binding modules and represent a versatile and functional platform to specifically target REST mRNA and modulate its endogenous expression.
DOI
10.1021/acssynbio.0c00119
WOS
WOS:000563758100011
Archivio
http://hdl.handle.net/11368/2978309
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85089787807
https://pubs.acs.org/doi/10.1021/acssynbio.0c00119
Diritti
open access
license:copyright editore
license:copyright editore
FVG url
https://arts.units.it/bitstream/11368/2978309/2/acssynbio.0c00119.pdf
Soggetti
  • computational modelin...

  • free energy calculati...

  • gene transcription

  • molecular dynamics si...

  • RNA binding proteins ...

Scopus© citazioni
2
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
4
Data di acquisizione
Mar 28, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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