Publications by authors named "S V Maslov"

Exon skipping technologies enable exclusion of targeted exons from mature mRNA transcripts, which have broad applications in medicine and biotechnology. Existing techniques including antisense oligonucleotides, targetable nucleases, and base editors, while effective for specific applications, remain hindered by transient effects, genotoxicity, and inconsistent exon skipping. To overcome these limitations, here we develop SPLICER, a toolbox of next-generation base editors containing near-PAMless Cas9 nickase variants fused to adenosine or cytosine deaminases for the simultaneous editing of splice acceptor (SA) and splice donor (SD) sequences.

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Article Synopsis
  • Exon skipping technologies allow for the removal of specific exons from mRNA, benefiting various fields like molecular biology and medicine, but existing methods face challenges such as temporary effects or potential harm to cells.
  • The newly developed SPLICER toolbox uses advanced base editing techniques to simultaneously modify specific splice sites, improving the reliability of exon skipping and minimizing unwanted mutations.
  • In tests, SPLICER effectively targeted exon 17 linked to Alzheimer's disease, leading to reduced toxic peptide formation and promising results for potential treatments.
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Background: Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Efficient and timely testing plays a critical role in disease control and transmission prevention. Group testing is a well-established method for reducing the number of tests needed to screen large populations when the disease prevalence is low.

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Despite their lack of a rigid structure, intrinsically disordered regions (IDRs) in proteins play important roles in cellular functions, including mediating protein-protein interactions. Therefore, it is important to computationally annotate IDRs with high accuracy. In this study, we present Disordered Region prediction using Bidirectional Encoder Representations from Transformers (DR-BERT), a compact protein language model.

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Life as we know it relies on the interplay between catalytic activity and information processing carried out by biological polymers. Here we present a plausible pathway by which a pool of prebiotic information-coding oligomers could acquire an early catalytic function, namely sequence-specific cleavage activity. Starting with a system capable of non-enzymatic templated replication, we demonstrate that even non-catalyzed spontaneous cleavage would promote proliferation by generating short fragments that act as primers.

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