Biology subjects

Trinh, V. N.

Publications and source records attributed to Trinh, V. N..

3 recordsLinked to original sources

bioRxiv2025

In situ Proteomics Unveils Specialized Domains for Extrasynaptic Signaling on Neuronal Cilia

Neuronal cilia have emerged as crucial signaling hubs, yet their molecular composition and integration with synaptic communication remain poorly understood. Using a newly developed Arl13b-TurboID mouse model, we achieved robust cilia-specific biotinylation and proteomic profiling across diverse tissues and cell types. Comparative proteomics revealed striking tissue-specific specialization, with neuronal cilia uniquely enriched in synaptic proteins, adhesion molecules, and neurotransmitter receptors. Surprisingly, several signaling and adhesion molecules localize to neuronal cilia in discrete nanodomains maintained by active retrieval mechanisms. In the mouse cortex, expansion microscopy revealed that the NMDA receptor subunit GluN1 is organized in nanodomains on neuronal ciliary membranes, which are precisely positioned to sample neurotransmitter efflux from neighboring glutamatergic synapses. These findings establish neuronal cilia as specialized extrasynaptic signaling platforms, with nanoscale organization enabling them to integrate local synaptic cues and modulate neuronal connectivity.

cell biology↗

bioRxiv2024

In silico analysis reveals differential targeting of enterovirus species by commonly used PCR assays

Quantitative polymerase chain reaction (qPCR) assays are sensitive molecular tools commonly used to quantify pathogens in environmental samples. These assays have become a staple of wastewater-based surveillance and often form the basis of quantitative microbial risk assessments. However, PCR assays may fail to capture all of their intended targets due to signature erosion over time. Here, we performed an in silico analysis of four human enterovirus PCR assays to assess signature erosion against the NCBI virus database. The predicted number of genomes hit by each assay rose alongside total genomes in the database through 2010 but the proportion of predicted hits began to level off with the emergence of the clinically important enterovirus D-68. We found that although all assays captured a majority of enterovirus species, only one recently developed assay adequately captured enterovirus D species. Some assays also appeared more likely to capture non-human enteroviruses than others, an important consideration for data interpretation. We conclude that broad-spectrum virus assays applied to environmental samples should be regularly checked against expanding sequence databases and provide methods to do so.

microbiology↗

bioRxiv2023

Codon optimality modulates protein output by tuning translation initiation

The impact of synonymous codon choice on protein output has important implications for understanding endogenous gene expression and design of synthetic mRNAs. Synonymous codons are decoded at different speeds, but simple models predict that this should not drive protein output. Instead, translation initiation should be the rate limiting step for production of protein per mRNA, with little impact of codon choice. Previously, we used a neural network model to design a series of synonymous fluorescent reporters and showed that their protein output in yeast spanned a seven-fold range corresponding to their predicted translation elongation speed. Here, we show that this effect is not due primarily to the established impact of slow elongation on mRNA stability, but rather, that slow elongation further decreases the number of proteins made per mRNA. We combine simulations and careful experiments on fluorescent reporters to show that translation is limited on non-optimally encoded transcripts. Using a genome-wide CRISPRi screen, we find that impairing translation initiation attenuates the impact of slow elongation, showing a dynamic balance between rate limiting steps of protein production. Our results show that codon choice can directly limit protein production across the full range of endogenous variability in codon usage.

molecular biology↗