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Pitts, R.

Publications and source records attributed to Pitts, R..

3 recordsLinked to original sources

Quantitative profiling of basal and stress-induced ribosome collisions

Ribosomes stall when they encounter problematic codons or cellular stress that perturbs translation. Stalled ribosomes can lead to the formation of ribosome collisions, also known as disomes, that engage cellular surveillance and stress signaling pathways. How many disomes form during basal conditions and how disome levels change under stress remain poorly understood. Here, we used spike-in normalized Ribo-seq and Disome-seq to quantify transcriptome-wide disome levels. Applying this approach in yeast and human cells, we found that disomes comprise approximately 2-10% of translating ribosomes under basal conditions. A high-resolution Disome-seq experiment in human cells identified reproducible disome-forming sites that contribute to the basal level of disome formation in the cell. Exposure of yeast cells to methyl methanesulfonate and human cells to anisomycin increased disome abundance up to four-fold and changed the distribution of collisions in a stress-specific and context-dependent manner. Overall, these data provide a quantitative, transcriptome-wide framework for measuring disome levels and reveal how translational stress reshapes the landscape of ribosome collisions in cells.

molecular biology↗

5-Azacytidine incorporation into mRNAs disrupts translation and induces ribosome collisions

5-Azacytidine (5-AzaC) is a cytidine analog and is widely used to treat myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Although its therapeutic activity is primarily attributed to hypomethylation resulting from DNA incorporation, the majority of 5-AzaC is incorporated into RNA. However, the functional consequences of 5-AzaC incorporation into RNA have been unknown. Here, we show that 5-AzaC treatment of cells leads to inhibition of protein synthesis. Ribo-seq, Disome-seq, and RNA-seq in cells treated with 5-AzaC exhibit a time-dependent C-to-G transversion signature in mRNAs within 2 h of treatment. These transversion events are enriched within footprint positions corresponding to the A-site of monosomes or leading stalled ribosome in a disome complex. Consistently, ribosome and disome footprints are accumulated at sites with C-rich codons in the A-site, specifically with the codons containing a C in the second position. 5-AzaC activates the integrated stress response (ISR) and the ribotoxic stress response (RSR) in a GCN2- and ZAK-dependent manner, consistent with disome-mediated signaling. Furthermore, loss of the Ribosome Quality Control (RQC) factor, ZNF598, sensitizes cells to 5-AzaC. Collectively, our results support a model where 5-AzaC is rapidly incorporated into mRNAs, disrupts decoding, and triggers disome-mediated signaling pathways, which contribute to its cytotoxicity. These findings suggest that translation disruption represents an additional layer of 5-AzaCs mechanism of action, alongside its known DNA-mediated effects.

biochemistry↗

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus ob-scure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized. ACM Reference FormatAbigail Dommer1{dagger}, Lorenzo Casalino1{dagger}, Fiona Kearns1{dagger}, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2 Sofia Oliveira3, Clare Morris1, AnthonyBogetti4, AndaTrifan5,6, Alexander Brace5,7, TerraSztain1,8, Austin Clyde5,7, Heng Ma5, Chakra Chennubhotla4, Hyungro Lee9, Matteo Turilli9, Syma Khalid10, Teresa Tamayo-Mendoza11, Matthew Welborn11, Anders Christensen11, Daniel G. A. Smith11, Zhuoran Qiao12, Sai Krishna Sirumalla11, Michael OConnor11, Frederick Manby11, Anima Anandkumar12,13, David Hardy6, James Phillips6, Abraham Stern13, Josh Romero13, David Clark13, Mitchell Dorrell14, Tom Maiden14, Lei Huang15, John McCalpin15, Christo- pherWoods3, Alan Gray13, MattWilliams3, Bryan Barker16, HarindaRajapaksha16, Richard Pitts16, Tom Gibbs13, John Stone6, Daniel Zuckerman2*, Adrian Mulholland3*, Thomas MillerIII11,12*, ShantenuJha9*, Arvind Ramanathan5*, Lillian Chong4*, Rommie Amaro1*. 2021. #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy ofDeltaSARS-CoV-2 in a Respiratory Aerosol. In Supercomputing 21: International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https://doi.org/finalDOI

biophysics↗