Rhomboids are a family of serine proteases belonging to intramembrane cleaving proteases, which are supposed to catalyse proteolysis of a substrate protein within the membrane. It remains unclear whether substrates of the rhomboid proteases have a common sequence feature that allows specific cleavage by rhomboids. We showed previously that GlpG, the Escherichia coli rhomboid, can cleave a type I model membrane protein Bla-LY2-MBP having the second transmembrane region of lactose permease (LY2) at the extramembrane region in vivo and in vitro, and that determinants for proteolysis reside within the LY2 sequence. Here we characterized sequence features in LY2 that allow efficient cleavage by GlpG and identified two elements, a hydrophilic region encompassing the cleavage site and helix-destabilizing residues in the downstream hydrophobic region. Importance of the positioning of helix-destabilizers relative to the cleavage site was suggested. These two elements appear to co-operatively promote proteolysis of substrates by GlpG. Finally, random mutagenesis of the cleavage site residues in combination with in vivo screening revealed that GlpG prefers residues with a small side chain and a negative charge at the P1 and P1' sites respectively.
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http://dx.doi.org/10.1111/j.1365-2958.2007.05715.x | DOI Listing |
RNA Biol
December 2025
Department of Cell and Molecular Biology, Biomedical Centre, Uppsala University, Uppsala, Sweden.
We show that a small biotin-binding RNA aptamer that folds into a pseudoknot structure acts as a substrate for bacterial RNase P RNA (RPR) with and without the RNase P C5 protein. Cleavage in the single-stranded region in loop 1 was shown to depend on the presence of a RCCA-motif at the 3' end of the substrate. The nucleobase and the 2'hydroxyl at the position immediately 5' of the cleavage site contribute to both cleavage efficiency and site selection, where C at this position induces significant cleavage at an alternative site, one base upstream of the main cleavage site.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, 620 West Chang'an Avenue, Chang'an District, Xi'an, Shaanxi 710119, P.R. China.
We present a robust 'splice-at-will' CRISPR RNA (crRNA) engineering mechanism that overcomes the limitations of clustered regularly interspaced short palindromic repeats (CRISPR)/Cas system in directly detecting ultrashort RNAs. In this strategy, an intact Cas12a crRNA can be split from almost any site of the spacer region to obtain a truncated crRNA (tcrRNA) that cannot activate Cas12a even after binding an auxiliary DNA activator. While splicing tcrRNAs with a moiety of ultrashort RNA, the formed combination can work together to activate Cas12a efficiently, enabling 'splice-at-will' crRNA engineering.
View Article and Find Full Text PDFProteolysis targeting chimeras (PROTACs) are pivotal in cancer therapy for their ability to degrade specific proteins. However, their non-specificity can lead to systemic toxicity due to protein degradation in normal cells. To address this, we have integrated a nanobody into the PROTACs framework and leveraged the tumor microenvironment to enhance drug specificity.
View Article and Find Full Text PDFThe ongoing panzootic of highly pathogenic avian influenza (HPAI) A(H5) viruses is the largest in history, with unprecedented transmission to multiple mammalian species. Avian influenza A viruses of the H5 subtype circulate globally among birds and are classified into distinct clades based on their hemagglutinin (HA) genetic sequences. Thus, the ability to accurately and rapidly assign clades to newly sequenced isolates is key to surveillance and outbreak response.
View Article and Find Full Text PDFCRISPR-Cas enzymes must recognize a protospacer-adjacent motif (PAM) to edit a genomic site, significantly limiting the range of targetable sequences in a genome. Machine learning-based protein engineering provides a powerful solution to efficiently generate Cas protein variants tailored to recognize specific PAMs. Here, we present Protein2PAM, an evolution-informed deep learning model trained on a dataset of over 45,000 CRISPR-Cas PAMs.
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