Advances in fluorescence microscopy have introduced new assays to quantify live-cell translation dynamics at single-RNA resolution. We introduce a detailed, yet efficient sequence-based stochastic model that generates realistic synthetic data for several such assays, including Fluorescence Correlation Spectroscopy (FCS), ribosome Run-Off Assays (ROA) after Harringtonine application, and Fluorescence Recovery After Photobleaching (FRAP). We simulate these experiments under multiple imaging conditions and for thousands of human genes, and we evaluate through simulations which experiments are most likely to provide accurate estimates of elongation kinetics. Finding that FCS analyses are optimal for both short and long length genes, we integrate our model with experimental FCS data to capture the nascent protein statistics and temporal dynamics for three human genes: KDM5B, β-actin, and H2B. Finally, we introduce a new open-source software package, RNA Sequence to NAscent Protein Simulator (rSNAPsim), to easily simulate the single-molecule translation dynamics of any gene sequence for any of these assays and for different assumptions regarding synonymous codon usage, tRNA level modifications, or ribosome pauses. rSNAPsim is implemented in Python and is available at: https://github.com/MunskyGroup/rSNAPsim.git.
Author summaryTranslation is an essential step in which ribosomes decipher mRNA sequences to 1 manufacture proteins. Recent advances in time-lapse fluorescence microscopy allow 2 live-cell quantification of translation dynamics at the resolution of single mRNA 3 molecules. Here, we develop a flexible computational framework to reproduce and 4interpret such experiments. We use this framework to explore how well different 5 single-mRNA translation experiment designs would perform to estimate key translation 6 parameters. We then integrate experimental data from the most flexible design with our 7 stochastic model framework to reproduce the statistics and temporal dynamics of 8 September 17, 2019 1/35 nascent protein elongation for three different human genes. Our validated 9 computational method is packaged with a simple graphical user interface that (1) starts 10 with mRNA sequences, (2) generates discrete, codon-dependent translation models, (3) 11 provides visualization of ribosome movement as trajectories or kymographs, and (4) 12 allows the user to estimate how optical single-mRNA translation experiments would be 13 affected by different genetic alterations (e.g., codon substitutions) or environmental 14 perturbations (e.g., tRNA titrations or drug treatments).
15Introduction 16 The central dogma of molecular biology (i.e., DNA codes are transcribed into messenger 17 RNA, which are then translated to build proteins) has been a foundation of biological 18 understanding since it was stated by Francis Crick in 1958. Despite their overwhelming 19 importance to biological and biomedical science, many of the fundamental steps in the 20 gene expression process are only now becoming observable in living cells throug...