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Biology subjects

Huntington, C.

Publications and source records attributed to Huntington, C..

2 recordsLinked to original sources

Multiple Quality Control Checkpoints Safeguard Small Nuclear RNA Biogenesis and Prevent Assembly of Aberrant Spliceosomes

Defective small nuclear (sn)RNAs are produced from hundreds of human snRNA pseudogenes and mutant snRNA genes associated with human developmental disorders. Machineries that prevent defective snRNAs from disrupting pre-mRNA splicing remain poorly defined. Here, we identify multiple checkpoints in snRNA biogenesis monitored by quality control machineries that subject defective snRNAs to degradation and prevent their assembly into spliceosomes. We show that variant U1 snRNAs produced from human pseudogenes, some at rates approaching the canonical snRNAs, are impaired in 3 cleavage and targeted for degradation by the NEXT-exosome while failures in subsequent protein assembly steps promote NEXT-exosome- or Terminal Uridylyl Transferase 4/7-mediated degradation. These pathways also repress mutant snRNAs associated with human developmental disorders. Impeding snRNA quality control causes formation of aberrant spliceosomes and altered pre-mRNA splicing. These findings define checkpoints in snRNA biogenesis that safeguard pre-mRNA splicing and represent potential therapeutic targets for human disorders associated with snRNA mutations.

molecular biology↗

Design to Data for mutants of β-glucosidase B from Paenibacillus polymyxa: L336M, L336A, L336S, L336H, D35E, D35W

Recent groundbreaking advances in protein structure prediction have significantly propelled the fields of protein design and engineering. However, improving computational enzyme modeling remains a key area of interest, with exciting opportunities to enhance predictive capabilities. Existing algorithms face a crucial hurdle - predicting enzyme stability and function with accuracy. To address this limitation, large sets of experimental data that capture enzyme structure-function are needed to guide the training and testing of next-gen tools. The Design 2 Data (D2D) program aims to build such a data set by engaging students from around the world to contribute standardized experimental data of enzyme variants. The flagship enzyme dataset of D2D, {beta}-glucosidase B (BglB), currently contains over 1300 records. The data consists of kinetic (kcat, KM, and kcat/KM), and thermal stability measures to expand the range of data available to train new computational algorithms. This paper explores six new single point mutants produced as part of this larger project and investigates variations in functional outcomes across the mutated sites. These data taken together with the larger and growing mutant library aim to deepen our understanding of the relationship between structure and function in BglB.

biochemistry↗