Biology subjects

Coller, J.

Publications and source records attributed to Coller, J..

10 recordsLinked to original sources

bioRxiv2025

5-ethynyluridine perturbs nuclear RNA metabolism to promote the nuclear accumulation of TDP-43 and other RNA binding proteins

TDP-43, an essential nucleic acid binding protein and splicing regulator, is broadly disrupted in neurodegeneration. TDP-43 nuclear localization and function depend on the abundance of its nuclear RNA targets and its recruitment into large ribonucleoprotein complexes, which restricts TDP-43 nuclear efflux. To further investigate the interplay between TDP-43 and nascent RNAs, we aimed to employ 5-ethynyluridine (5EU), a widely used uridine analog for click chemistry labeling of newly transcribed RNAs. Surprisingly, 5EU induced the nuclear accumulation of TDP-43 and other RNA-binding proteins and attenuated TDP-43 mislocalization caused by disruption of the nuclear transport apparatus. RNA FISH demonstrated 5EU-induced nuclear accumulation of polyadenylated and GU-repeat-rich RNAs, suggesting increased retention of both processed and intronic RNAs. TDP-43 eCLIP confirmed that 5EU preserved TDP-43 binding at predominantly GU-rich intronic sites. RNAseq revealed significant 5EU-induced changes in alternative splicing, accompanied by an overall reduction in splicing diversity, without any major changes in RNA stability or TDP-43 splicing regulatory function. These data suggest that 5EU may impede RNA splicing efficiency and subsequent nuclear RNA processing and export. Our findings have important implications for studies utilizing 5EU and offer unexpected confirmation that the accumulation of endogenous nuclear RNAs promotes TDP-43 nuclear localization.

cell biology↗

bioRxiv2025

Biochemical analysis of human eIF4E-DCP2 interaction: Implications for the relationship between translation initiation and decapping

All eukaryotic mRNAs bear a 7-methylguanosine cap on their 5 end. The 5 cap enables mRNA translation by binding directly to eIF4E; which further recruits other factors and the 40S ribosome. Additionally, the 5 cap maintains transcript stability; removal of the cap by the enzyme Dcp2 is necessary to degrade the mRNA. An a priori conclusion, therefore, has been that cap binding by eIF4E and DCP2 are antithetical to each other as both need access to the same substrate, i.e. the 5 cap. In this study, we purified native full-length human eIF4E and Dcp2 and utilize biophysical and biochemical approaches to examine the in vitro interplay between Dcp2 and eIF4E. We confirm that Dcp2 is sufficient to remove the 5 cap. Moreover, we demonstrate that Dcp2 binds RNA with nanomolar affinity. We discovered that, unexpectedly, eIF4E does not interfere with Dcp2s decapping function, contradicting previous mechanistic models. Moreover, eIF4E binding appears to increase the affinity of Dcp2 for RNA. Although limited to in vitro conditions, our findings warrant a reevaluation of the proposed relationship between these mRNA cap-binding proteins.

molecular biology↗

bioRxiv2023

Immune-Epithelial Dynamics and Tissue Remodeling in Chronically Inflamed Nasal Epithelium via Multi-scaled Transcriptomics

Chronic rhinosinusitis (CRS) is a common inflammatory disease of the sinonasal cavity that affects millions of individuals worldwide. The complex pathophysiology of CRS remains poorly understood, with emerging evidence implicating the orchestration between diverse immune and epithelial cell types in disease progression. We applied single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to both dissociated and intact, freshly isolated sinonasal human tissues to investigate the cellular and molecular heterogeneity of CRS with and without nasal polyp formation compared to non-CRS control samples. Our findings reveal a mechanism for macrophage-eosinophil recruitment into the nasal mucosa, systematic dysregulation of CD4+ and CD8+ T cells, and enrichment of mast cell populations to the upper airway tissues with intricate interactions between mast cells and CD4 T cells. Additionally, we identify immune-epithelial interactions and dysregulation, particularly involving understudied basal progenitor cells and Tuft chemosensory cells. We further describe a distinct basal cell differential trajectory in CRS patients with nasal polyps (NP), and link it to NP formation through immune-epithelial remodeling. By harnessing stringent patient tissue selection and advanced technologies, our study unveils novel aspects of CRS pathophysiology, and sheds light onto both intricate immune and epithelial cell interactions within the disrupted CRS tissue microenvironment and promising targets for therapeutic intervention. These findings expand upon existing knowledge of nasal inflammation and provide a comprehensive resource towards understanding the cellular and molecular mechanisms underlying this uniquely complex disease entity, and beyond.

immunology↗

bioRxiv2022

Community assessment of methods to deconvolve cellular composition from bulk gene expression

We evaluate deconvolution methods, which infer levels of immune infiltration from bulk expression of tumor samples, through a community-wide DREAM Challenge. We assess six published and 22 community-contributed methods using in vitro and in silico transcriptional profiles of admixed cancer and healthy immune cells. Several published methods predict most cell types well, though they either were not trained to evaluate all functional CD8+ T cell states or do so with low accuracy. Several community-contributed methods address this gap, including a deep learning-based approach, whose strong performance establishes the applicability of this paradigm to deconvolution. Despite being developed largely using immune cells from healthy tissues, deconvolution methods predict levels of tumor-derived immune cells well. Our admixed and purified transcriptional profiles will be a valuable resource for developing deconvolution methods, including in response to common challenges we observe across methods, such as sensitive identification of functional CD4+ T cell states.

bioinformatics↗

bioRxiv2021

Integrated spatial multi-omics reveals fibroblast fate during tissue repair

In the skin, tissue injury results in fibrosis in the form of scars composed of dense extracellular matrix deposited by fibroblasts. The therapeutic goal of regenerative wound healing has remained elusive in part because principles of fibroblast programming and adaptive response to injury remain incompletely understood. Here, we present a multimodal -omics platform for the comprehensive study of cell populations in complex tissue, which has allowed us to characterize the cells involved in wound healing across both time and space. We employ a stented wound model that recapitulates human tissue repair kinetics and multiple Rainbow transgenic lines to precisely track fibroblast fate during the physiologic response to injury. Through integrated analysis of single cell chromatin landscapes and gene expression states, coupled with spatial transcriptomic profiling, we are able to impute fibroblast epigenomes with temporospatial resolution. This has allowed us to define the mechanisms controlling cell fate during migration, proliferation, and differentiation following tissue injury and thereby reexamine the canonical phases of wound healing. These findings have broad implications for the study of tissue repair in complex organ systems.

bioinformatics↗

bioRxiv2020

Automated platform for high-throughput screening of base-modified aptamers for affinity and specificity

Aptamers incorporating chemically modified bases can achieve superior affinity and specificity compared to natural aptamers, but their characterization remains a labor-intensive, low-throughput task. Here we describe the non-natural aptamer array (N2A2) system, in which a minimally modified Illumina MiSeq instrument is used for the high-throughput generation and characterization of large libraries ([~]106) of base-modified DNA aptamer candidates on the basis of both target affinity and specificity. We first demonstrate the capability to screen multiple different base modifications to identify the optimal chemistry for high-affinity target binding. We next use N2A2 to generate aptamers that can maintain excellent specificity even in complex samples, with equally strong target affinity in both buffer and diluted human serum. Given that N2A2 requires only minor mechanical modifications to the MiSeq, we believe N2A2 offers a broadly accessible tool for generating high-quality affinity reagents for diverse applications.

bioengineering↗

bioRxiv2019

The Ccr4-Not complex monitors the translating ribosome for codon optimality

Control of mRNA decay rate is intimately connected to translation elongation but the spatial coordination of these events is poorly understood. The Ccr4-Not complex initiates mRNA decay through deadenylation and activation of decapping. Using a combination of cryo-electron microscopy, ribosome profiling and mRNA stability assays we show recruitment of Ccr4-Not to the ribosome via specific interaction of the Not5 subunit with the ribosomal E-site. This interaction only occurs when the ribosome lacks accommodated A-site tRNA, indicative of low codon optimality. Loss of Not5 results in the inability of the mRNA degradation machinery to sense codon optimality. Our analysis elucidates a physical link between the Ccr4-Not complex and the ribosome providing mechanistic insight into the coupling of decoding efficiency with mRNA stability.

molecular biology↗

bioRxiv2018

Codon usage and amino acid identity are major determinants of mRNA stability in humans

mRNA degradation is a critical, yet poorly understood, aspect of gene expression. Previous studies demonstrate that codon content acts as a major determinant of mRNA stability in model organisms. In humans, the importance of open reading frame (ORF)-mediated regulation remains unclear. Here, we globally analyzed mRNA stability for both endogenous and human ORFeome collection mRNAs in human cells. Consistent with previous studies, we observed that synonymous codon usage impacts human mRNA decay. Unexpectedly, amino acid identity also acts as a driver of translation-dependent decay, meaning that primary protein sequence dictates overall mRNA levels and, consequently, protein abundance. Both codon usage and amino acid identity affect translational elongation rate to varying degrees in distinct organisms, with the net result being sensed by mRNA degradation machinery. In humans, interplay between ORF- and UTR-mediated control of mRNA stability may be critical to offset this fundamental relationship between protein sequence and mRNA abundance.

molecular biology↗

bioRxiv2018

Translation elongation and mRNA stability are coupled through the ribosomal A-site

Messenger RNA (mRNA) degradation plays a critical role in regulating transcript levels in eukaryotic cells. Previous work by us and others has shown that codon identity exerts a powerful influence on mRNA stability. In Saccharomyces cerevisiae, studies using a handful of reporter mRNAs show that optimal codons increase translation elongation rate, which in turn increase mRNA stability. However, a direct link between elongation rate and mRNA stability has not been established across the entire yeast transcriptome. In addition, there is evidence from work in higher eukaryotes that amino acid identity influences mRNA stability, raising the question as to whether the impact of translation elongation on mRNA decay is at the level of tRNA decoding, amino acid incorporation, or some combination of each. To address these questions, we performed ribosome profiling of wildtype yeast. In good agreement with other studies, our data showed faster codon-specific elongation over optimal codons and faster transcript-level elongation correlating with transcript optimality. At both the codon-level and transcript-level, faster elongation correlated with increased mRNA stability. These findings were reinforced by showing increased translation efficiency and kinetics for a panel of 11 HIS3 reporter mRNAs of increasing codon optimality. While we did observe that elongation measured by ribosome profiling is composed of both amino acid identity and synonymous codon effects, further analyses of these data establish that A-site tRNA decoding rather than other steps of translation elongation is driving mRNA decay in yeast.

molecular biology↗

bioRxiv2017

Ccr4 And Pop2 Control Poly(A) Tail Length In Saccharomyces cerevisiae

Messenger RNA degradation is an important aspect of post-transcriptional gene regulation and shortening the poly(A) tail is suggested to be the rate-limiting step in mRNA degradation. In Saccharomyces cerevisiae, the Ccr4-Not complex is the major deadenylase and contains two subunits with exoribonuclease domains, Ccr4 and Pop2. Although the role of Ccr4 and Pop2 in deadenylation has previously been studied using individual reporter mRNAs, their activity has not been studied transcriptome-wide. Here, we describe END-seq, a method to accurately measure poly(A) tail lengths of individual mRNAs transcriptome-wide, and have used this assay to examine the impact of deleting or mutating CCR4 and POP2 on steady state poly(A) tail length. We found that Ccr4 and Pop2 have differential effects on the poly(A) tail lengths of individual mRNAs. Additionally, though Pop2 has previously been reported to have exonuclease activity, mutations that render it catalytically inactive have no effect on steady-state poly(A) tail lengths. Furthermore, mutations that disrupt the interaction between Ccr4 and Pop2 result in longer poly(A) tails. We also observe an inverse correlation between codon optimality and poly(A) tail length - transcripts containing predominantly optimal codons display fewer changes in poly(A) tail length upon deletion of Ccr4 or Pop2 than those containing less optimal codons. Together, these results indicate that Pop2 modulates poly(A) tail length, at least partially, via its association with Ccr4 and that Pop2 improves the function of Ccr4 in regulating poly(A) tail length. These data provide important insights into poly(A) tail length dynamics in yeast and demonstrate that END-seq is an efficient and accurate method to study poly(A) tail length.

genomics↗