Biology subjects

Schirman, D.

Publications and source records attributed to Schirman, D..

5 recordsLinked to original sources

bioRxiv2026

A massively parallel reporter screen defines the syntax of SECReTE, a secretion-enhancing cis regulatory targeting element, in mammalian cells

Messenger RNA (mRNA) localization to specific subcellular regions is crucial for proper protein translation and localization. Potential means to localize mRNAs include cis-acting or structural motifs embedded within the sequence. We previously identified a secretion-enhancing cis regulatory targeting element (SECReTE) enriched in mRNAs encoding secreted proteins from prokaryotes, eukaryotes, and viruses, found to enhance both protein synthesis and secretion by localizing mRNAs to the endoplasmic reticulum (ER) membrane. Defined as at least 10 consecutive NNY triplets (where N is any nucleotide and Y is a pyrimidine), this highly degenerate motif can be specified by approximately ~10^15 different sequence combinations. Yet, some combinations may prove more efficient than others in regulating mRNA localization and protein secretion. To better understand SECReTE syntax and to identify robust combinations, we designed and synthesized a library of ~5 x 10^4 variants and inserted them into the 3' untranslated region (3'UTR) of two reporter genes, green fluorescent protein (GFP) and immunoglobulin light chain. We expressed each variant in Chinese hamster ovary cells and assayed their activity using parallel assays to measure the effect of each variant upon mRNA partitioning between the ER and cytoplasm, and protein secretion. Our results reveal that ER-associated mRNAs are enriched with SECReTE elements of a defined syntax. Notably, RRY repeats (where R is purine) were superior to NNY repeats. Variants conferring a high mRNA ER localization score consistently enhanced protein secretion, confirming the mechanistic relationship between mRNA targeting to the ER and secretion efficiency. The correlation between variant performances across both reporters suggests a shared regulatory mechanism. Additional analysis identified a novel secretion-promoting cis element, called "split NNS" (where S is G or C). This work refines the syntactic definition of mRNA localization motifs that regulate protein secretion in both natural and heterologous expression systems.

cell biology↗

bioRxiv2024

A dynamic 3D polymer model of the Escherichia coli chromosome driven by data from optical pooled screening

The DNA of bacterial cells is organized in a highly dynamic chromosome structure. To guarantee its propagation, the chromosome must replicate, segregate, and accommodate other biological processes like gene expression. Therefore, to understand the causal relationship between chromosome organization and biological function, it is essential to follow chromosome dynamics. Live-cell imaging of fluorescent labels allows the tracking of specific genomic locations, but the current imaging-based approaches to study bacterial chromosome organization over the cell cycle are limited in their throughput. Even with multicolor fluorescent locus labeling, the genomic resolution is insufficient to gain insights about the whole chromosome structure from a single experiment. Although sequencing-based methods like chromosome conformation capture provide high genomic coverage, they can only be done in bulk, providing an averaged static view of the chromosome structure. In this study, we address these limitations and investigate the bacterial chromosome organization by imaging fluorescently labeled loci in a library of Escherichia coli strains, following the 3D locations of 68 different loci in live cells in a single experiment. The resulting location distributions along the cells longitudinal and radial axes are used to inform a dynamic polymer model of the chromosome over the cell cycle. We show a global reorganization of the E. coli chromosome, at both the longitudinal and radial axes. Our model reproduces the known chromosomal architecture of four macrodomains and demonstrates how these domains form dynamically over the cell cycle.

systems biology↗

bioRxiv2024

The challenge of chromatin model comparison and validation a project from the first international 4D Nucleome Hackathon

The computational modeling of chromatin structure is highly complex and challenging due to the hierarchical organization of chromatin, which reflects its diverse biophysical principles, as well as inherent dynamism, which underlies its complexity. The variety of methods for chromatin structure modeling, which are based on different approaches, assumptions and scales of modeling, suggests that there is a necessity for a comprehensive benchmark. This inspired us to conduct a project at the NIH-funded 4D Nucleome Hackathon on March 18-21, 2024 at The University of Washington in Seattle, USA. The hackathon provided an amazing opportunity to gather an international, multi-institutional and unbiased group of experts to discuss, understand and undertake the challenges of chromatin model comparison and validation. These challenges seem straightforward in theory, however in practice, they are challenging and ambiguous. To address them, we developed a bioinformatics workflow for chromatin model comparison and validation, in which we use distance matrices to represent chromatin models, and we calculate Spearman correlation coefficients between pairs of matrices to estimate correlations between models, as well as between models and experimental data. During the 4-day hackathon, we tested our workflow on several distinct software packages for chromatin structure modeling and we discovered several challenges that include: 1) different aspects of chromatin biophysics and scales complicate model comparisons, 2) expertise in biology, bioinformatics, and physics is necessary to conduct a comprehensive research on chromatin structure, 3) bioinformatic software, which is often developed in academic settings, is characterized by insufficient support and documentation. Therefore, our work constitutes a way to advance the modeling of the 3D organization of the human genome, while emphasizing the importance of establishing guidelines for software development and standardization.

genomics↗

bioRxiv2023

Pooled optical screening in bacteria using chromosomally expressed barcodes

Optical pooled screening is an important tool to study dynamic phenotypes for libraries of genetically engineered cells. However, the desired engineering often requires that the barcodes used for in situ genotyping are expressed from the chromosome. This has not been possible in bacteria. Here we describe a method for in situ genotyping of libraries with genomic barcodes in Escherichia. coli. The method is applied to measure the intracellular maturation time of 81 red fluorescent proteins.

biophysics↗

bioRxiv2020

Sequence determinants and evolution of splicing in budding yeast and related species

RNA splicing is a key process in eukaryotic gene expression. Most Intron-containing genes are constitutively spliced, hence efficient splicing of an intron is crucial for efficient gene expression. Here we use a large synthetic oligo library of ~20,000 variants to explore how different intronic sequence features affect splicing efficiency and mRNA expression levels in S. cerevisiae. Using a combinatorial design of synthetic introns we demonstrate how non-consensus splice site sequences affect splicing efficiency in each of the three splice sites. We then show that S. cerevisiae splicing machinery tends to select alternative 3 splice sites downstream of the original site, and we suggest that this tendency created a selective pressure, leading to the avoidance of cryptic splice site motifs near introns 3 ends. We further use natural intronic sequences from other yeast species, whose splicing machineries have diverged to various extents, to show how intron architectures in the various species have been adapted to the organisms splicing machinery. We suggest that the observed tendency for cryptic splicing is a result of a loss of a specific splicing factor, U2AF1. Lastly, we show that synthetic sequences containing two introns give rise to alternative RNA isoforms in S. cerevisiae, exposing intronic features that control and facilitate alternative splicing. Our study reveals novel mechanisms by which introns are shaped in evolution to allow cells to regulate their transcriptome.

systems biology↗