bioRxiv Science⌕ Search

Biology subjects

Lim, D. C.

Publications and source records attributed to Lim, D. C..

3 recordsLinked to original sources

Pseudouridine residues as substrates for serum ribonucleases

In clinical uses, RNA must maintain its integrity in serum that contains ribonucleases (RNases), especially RNase 1, which is a human homolog of RNase A. These omnipresent enzymes catalyze the cleavage of the P-O5'' bond on the 3' side of pyrimidine residues. Pseudouridine ({Psi}) is the most abundant modified nucleoside in natural RNA. The substitution of uridine (U) with {Psi} or N1-methylpseudouridine (m1{Psi}) reduces the immunogenicity of mRNA and increases ribosomal translation, and these modified nucleosides are key components of RNA-based vaccines. Here, we assessed the ability of RNase A and RNase 1 to catalyze the cleavage of the P-O5'' bond on the 3' side of {Psi} and m1{Psi}. We find that these enzymes catalyze the cleavage of UpA up to 10-fold more efficiently than the cleavage of {Psi}pA or m1{Psi}pA. X-ray crystallography of enzyme-bound nucleoside 2',3'-cyclic vanadate complexes and molecular dynamics simulations of enzyme{middle dot}dinucleotide complexes show that U, {Psi}, and m1{Psi} bind to RNase A and RNase 1 in a similar manner. Quantum chemistry calculations suggested that the higher reactivity of UpA is intrinsic, arising from an inductive effect that decreases the pKa of the 2'-hydroxy group of U and enhances its nucleophilicity toward the P-O5'' bond. Experimentally, we found that UpA does indeed undergo spontaneous hydrolysis faster than does m1{Psi}pA. Our findings inform the continuing development of RNA-based vaccines and therapeutic agents.

biochemistry↗

A versatile bacterial innate immunity protein directly senses two disparate phage proteins

Eukaryotic innate immune systems use pattern recognition receptors (PRRs) to sense infection by detecting pathogen-associated molecular patterns, which then triggers an immune response. Bacteria have similarly evolved immunity proteins that sense certain components of their viral predators known as bacteriophages1-6. Although different immunity proteins can recognize different phage-encoded triggers, individual bacterial immunity proteins have only been found to sense a single trigger during infection, suggesting a one-to-one relationship between bacterial PRRs and their ligands7-11. Here, we demonstrate that the anti-phage defense protein CapRelSJ46 in Escherichia coli can directly bind and sense two completely unrelated and structurally different proteins using the same sensory domain, with overlapping but distinct interfaces. Our results highlight the remarkable versatility of an immune sensory domain, which may be a common property of anti-phage defense systems and enable them to keep pace with their rapidly evolving viral predators. We found that Bas11 phages harbor both trigger proteins that are sensed by CapRelSJ46 during infection, and we demonstrate that such phage can only fully evade CapRelSJ46 defense when both triggers are mutated. Our work reveals how a bacterial immune system that senses more than one trigger can help prevent phages from easily escaping detection, and it may allow detection of a broader range of phages. More generally, our findings illustrate unexpected multifactorial sensing by bacterial defense systems and complex coevolutionary relationships between them and their phage-encoded triggers.

microbiology↗

A novel neuroelectrophysiological age index implicates brain health and sleep disorders

Sleep architecture and microstructures alter with aging and sleep disorder-led accelerated aging. We proposed a sleep electroencephalogram (EEG) based brain age prediction model using convolutional neural networks. We then associated the estimated brain age index (BAI) with brain structural aging features, sleep disorders and various sleep parameters. Our model also showed a higher BAI (predicted brain age minus chronological age) is associated with cortical thinning in various functional areas. We found a higher BAI for sleep disorder groups compared to healthy sleepers, as well as significant differences in the spectral pattern of EEG among different sleep disorders (lower power in slow and{vartheta} waves for sleep apnea vs. higher power in {beta} and{sigma} for insomnia), suggesting sleep disorder-dependent pathomechanisms of aging. Our results demonstrate that the new EEG-BAI can be a biomarker reflecting brain health in normal and various sleep disorder subjects, and may be used to assess treatment efficacy.

neuroscience↗