Biology subjects

Meacham, Z. A.

Publications and source records attributed to Meacham, Z. A..

6 recordsLinked to original sources

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↗

bioRxiv2021

Surveying the global landscape of post-transcriptional regulators

Numerous proteins regulate gene expression by modulating mRNA translation and decay. In order to uncover the full scope of these post-transcriptional regulators, we conducted an unbiased survey that quantifies regulatory activity across the budding yeast proteome and delineates the protein domains responsible for these effects. Our approach couples a tethered function assay with quantitative single-cell fluorescence measurements to analyze [~]50,000 protein fragments and determine their effects on a tethered mRNA. We characterize hundreds of strong regulators, which are enriched for canonical and unconventional mRNA-binding proteins. Regulatory activity typically maps outside the RNA-binding domains themselves, highlighting a modular architecture that separates mRNA targeting from post-transcriptional regulation. Activity often aligns with intrinsically disordered regions that can interact with other proteins, even in core mRNA translation and degradation factors. Our results thus reveal networks of interacting proteins that control mRNA fate and illuminate the molecular basis for post-transcriptional gene regulation.

molecular biology↗

bioRxiv2020

CiBER-seq dissects genetic networks by quantitative CRISPRi profiling of expression phenotypes

To realize the promise of CRISPR/Cas9-based genetics, approaches are needed to quantify a specific, molecular phenotype across genome-wide libraries of genetic perturbations. We address this challenge by profiling transcriptional, translational, and post-translational reporters using CRISPR interference with barcoded expression reporter sequencing (CiBER-seq). Our barcoding approach connects an entire library of guides to their individual phenotypic consequences using pooled sequencing. We show that CiBER-seq profiling fully recapitulates the integrated stress response (ISR) pathway in yeast. Genetic perturbations causing uncharged tRNA accumulation activated ISR reporter transcription. Surprisingly, tRNA insufficiency also activated the reporter, independent of the Gcn2 kinase that senses uncharged tRNAs. By uncovering alternate triggers for ISR activation, we illustrate how precise, comprehensive CiBER-seq profiling provides a powerful and broadly applicable tool for dissecting genetic networks.

genomics↗

bioRxiv2020

A genome-scale CRISPR interference guide library enables comprehensive phenotypic profiling in yeast

CRISPR/Cas9-mediated transcriptional interference (CRISPRi) enables programmable gene knock-down, yielding interpretable loss-of-function phenotypes for nearly any gene. Effective, inducible CRISPRi has been demonstrated in budding yeast, but no genome-scale guide libraries have been reported. We present a comprehensive yeast CRISPRi library, based on empirical design rules, containing 10 distinct guides for most genes. Competitive growth after pooled transformation revealed strong fitness defects for most essential genes, verifying that the library provides comprehensive genome coverage. We used the relative growth defects caused by different guides targeting essential genes to further refine yeast CRISPRi design rules. In order to obtain more accurate and robust guide abundance measurements in pooled screens, we link guides with random nucleotide barcodes and carry out linear amplification by in vitro transcription. Taken together, we demonstrate a broadly useful platform for comprehensive, high-precision CRISPRi screening in yeast.

genomics↗

bioRxiv2018

Double Stranded DNA Damage and Genome Editing Trigger Ribosome Remodeling and Translational Shutdown

DNA damage activates a robust transcriptional stress response, but much less is known about how DNA impacts translation. The advent of genome editing via a Cas9-induced DNA double-strand break has intensified interest in understanding cellular responses to DNA damage. Here we find that DNA double-strand breaks (DSBs) induced by Cas9 or other damaging agents lead to a reduction of core ribosomal proteins, RPS27A and RPL40, and that the loss of these proteins is post-transcriptional and p53-independent. DSBs furthermore lead to the shutdown of translation through phosphorylation of eukaryotic initiation factor 2 alpha, and altering these signals affects genome editing outcomes. This DSB translational response is widespread and precedes the transcriptional response. Our results demonstrate that even a single double-strand break can lead to ribosome remodeling and reduced translational output, and suggest caution in interpreting cellular phenotypes measured immediately after genome editing.

molecular biology↗

bioRxiv2018

An Accessible Continuous-Culture Turbidostat for Pooled Analysis of Complex Libraries

We present an accessible, robust continuous-culture turbidostat system that enables biologists to generate and phenotypically analyze highly complex libraries in yeast and bacteria. Our system has many applications in genomics and systems biology; here, we demonstrate three of these uses. We first measure how the growth rate of budding yeast responds to limiting nitrogen at steady state and in a dynamically varying environment. We also demonstrate the direct selection of a diverse, genome-scale protein fusion library in liquid culture. Finally, we perform a comprehensive mutational analysis of the essential gene RPL28 in budding yeast, mapping sequence constraints on its wild-type function and delineating the binding site of the drug cycloheximide through resistance mutations. Our system can be constructed and operated with no specialized skills or equipment and applied to study genome-wide mutant pools and diverse libraries of sequence variants under well-defined growth conditions.

systems biology↗