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Biology subjects

White, P. E.

Publications and source records attributed to White, P. E..

2 recordsLinked to original sources

The LARP1 RRM functions as a ribosome responsive regulator of TOP mRNAs

Ribosome concentration varies across cell type, state, and disease, yet the mechanism by which mammalian cells sense ribosome levels to regulate ribosome synthesis remains unknown. Previous studies implicate LARP1 in binding ribosomes and, separately, in repressing mRNAs containing TOP motifs (TOPs), which encode all ribosomal proteins as well as several translation factors. Here, we show that ribosome binding is the essential licensing event for LARP1-mediated TOP repression. Phylogenetic analysis reveals that LARP1's ribosome binding region is part of a highly conserved RNA recognition motif (RRM) which is predicted to directly interact with its TOP-binding HEAT repeat domain. Ribosome binding activates the HEAT repeats to bind and repress TOPs, thereby repressing TOP translation and ribosome synthesis. Mutants which uncouple the coordinated functions of these domains constitutively repress TOPs and compromise cell fitness. These data reveal an unprecedented ribosome sensing function of LARP1, orchestrated through the unique coordinating role of its RRM, unveiling the mechanism by which mammalian cells tune ribosome synthesis to demand across diverse contexts.

molecular biology↗

Clonal differences underlie variable responses to sequential and prolonged treatment

Cancer cells exhibit dramatic differences in gene expression at the single-cell level which can predict whether they become resistant to treatment. Treatment perpetuates this heterogeneity, resulting in a diversity of cell states among resistant clones. However, it remains unclear whether these differences lead to distinct responses when another treatment is applied or the same treatment is continued. In this study, we combined single-cell RNA-sequencing with barcoding to track resistant clones through prolonged and sequential treatments. We found that cells within the same clone have similar gene expression states after multiple rounds of treatment. Moreover, we demonstrated that individual clones have distinct and differing fates, including growth, survival, or death, when subjected to a second treatment or when the first treatment is continued. By identifying gene expression states that predict clone survival, this work provides a foundation for selecting optimal therapies that target the most aggressive resistant clones within a tumor.

systems biology↗