Targeted selection-based-genome-editing approaches in budding yeast have enabled many fundamental discoveries and continue to be used routinely with high precision. We found, however, that replacement of DBP1 with a common selection cassette led to reduced expression and function for the adjacent gene, MRP51, despite all MRP51 coding and regulatory sequences remaining intact. Cassette-induced repression of MRP51 drove all phenotypes we detected in cells deleted for DBP1. This behavior resembled the previously observed 'neighboring gene effect' (NGE), a phenomenon of unknown mechanism whereby cassette insertion at one locus reduces the expression of a neighboring gene. Here, we leveraged strong off-target phenotypes resulting from cassette replacement of DBP1 to provide mechanistic insight into the NGE. We found that inherent bidirectionality of promoters, including those in expression cassettes, drives a divergent transcript that represses MRP51 through combined transcriptional interference and translational repression mediated by production of a long undecoded transcript isoform (LUTI). We demonstrate that divergent transcript production driving this off-target effect is general to yeast expression cassettes and occurs ubiquitously with insertion. Despite this, off-target effects are often naturally prevented by local sequence features, such as those that terminate divergent transcripts between the site of cassette insertion and the neighboring gene. Thus, cassette induced off-target effects can be eliminated by the insertion of transcription terminator sequences into the cassette, flanking the promoter. Because the driving features of this off-target effect are broadly conserved, our study suggests its consideration in the design and interpretation of experiments using integrated expression cassettes in other eukaryotes.

The majority of cellular proteins interact with at least one partner or assemble into molecular-complexes to exert their function. This network of protein-protein interactions (PPIs) and the composition of macromolecular machines differ between cell types and physiological conditions. Therefore, characterizing PPI networks and their dynamic changes is vital for discovering novel biological functions and underlying mechanisms of cellular processes. However, producing an in-depth, global snapshot of PPIs from a given specimen requires measuring tens to thousands of LC-MS/MS runs. Consequently, while recent works made seminal contributions by mapping PPIs at great depth, almost all focused on just 1-2 conditions, generating comprehensive but mostly static PPI networks. In this study we report the development of SEC-TMT, a method that enables identifying and measuring PPIs in a quantitative manner from only 4-8 LC-MS/MS runs per biological sample. This was accomplished by incorporating tandem mass tag (TMT) multiplexing with a size exclusion chromatography mass spectrometry (SEC-MS) work-flow. SEC-TMT reduces measurement time by an order of magnitude while maintaining resolution and coverage of thousands of cellular interactions, equivalent to the gold standard in the field. We show that SEC-TMT provides benefits for conducting differential analyses to measure changes in the PPI network between conditions. This development makes it feasible to study dynamic systems at scale and holds the potential to drive more rapid discoveries of PPI impact on cellular processes.

Different mutations in the RNA‐binding protein Pumilio1 (PUM1) cause divergent phenotypes whose severity tracks with dosage: a mutation that reduces PUM1 levels by 25% causes late‐onset ataxia, whereas haploinsufficiency causes developmental delay and seizures. Yet PUM1 targets are derepressed to equal degrees in both cases, and the more severe mutation does not hinder PUM1's RNA‐binding ability. We therefore considered the possibility that the severe mutation might disrupt PUM1 interactions, and identified PUM1 interactors in the murine brain. We find that mild PUM1 loss derepresses PUM1‐specific targets, but the severe mutation disrupts interactions with several RNA‐binding proteins and the regulation of their targets. In patient‐derived cell lines, restoring PUM1 levels restores these interactors and their targets to normal levels. Our results demonstrate that dosage sensitivity does not always signify a linear relationship with protein abundance but can involve distinct mechanisms. We propose that to understand the functions of RNA‐binding proteins in a physiological context will require studying their interactions as well as their targets.

Precision genome-editing approaches have long been available in budding yeast, enabling introduction of gene deletions, epitope tag fusions, and promoter swaps through a selection-based strategy. Such approaches allow loci to be modified without disruption of coding or regulatory sequences of neighboring genes. Use of this approach to delete DBP1 however, led to silencing of expression and the resultant loss of function for the neighboring gene MRP51. We found that insertion of a resistance cassette to delete DBP1, drove a 5’ extended alternative transcript for MRP51 which dampened Mrp51 protein synthesis. Misregulation of MRP51 occurred through an integrated transcriptional and translational repressive long undecoded transcript isoform (LUTI)-based mechanism that was recently shown to naturally regulate gene expression in yeast and other organisms. Cassette-induced MRP51 repression drove all mutant phenotypes we detected in cells deleted for DBP1. Selection cassette-mediated aberrant transcription events are not specific to this locus or a unique cassette but can be prevented by insertion of transcription insulators flanking the cassette. Our study suggests the existence of confounding off-target mutant phenotypes resulting from misregulated neighboring loci following genome edits in yeast. Furthermore, features of LUTI-based regulation are broadly conserved to eukaryotic organisms which indicates the potential that similar misregulation could be unnoticed in other edited organisms as well.