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Fields, C. J.

Publications and source records attributed to Fields, C. J..

12 recordsLinked to original sources

Engineering circular RNA expression systems to minimize contaminating linear RNA byproducts

Circular RNAs (circRNAs) are generated by backsplicing of eukaryotic protein-coding transcripts and can regulate microRNAs and RNA binding proteins, or serve as translation templates. Their covalently closed structure confers resistance to exonuclease-mediated degradation, extending their half-life and supporting their development as RNA therapeutics. However, existing overexpression methods often yield substantial contaminating linear RNAs, limiting their utility. Here, we systematically benchmarked plasmid-based circRNA overexpression strategies in human cells, comparing spliceosome- and ribozyme-based mechanisms across constructs incorporating widely used flanking sequences. The ribozyme-based Tornado system produced the highest circRNA yield but introduced extraneous "molecular scars" into the mature product. By contrast, spliceosome-mediated circularization using introns from the Drosophila Laccase2 gene, which contain imperfect complementary repeats, produced scarless circRNA with substantially lower linear RNA contamination. Linear RNA was further reduced by engineering the primary transcript to terminate in a non-polyadenylated end, increasing its susceptibility to exonucleases. Building on this optimized system, we developed a dual-output platform co-expressing a linear fluorescent reporter alongside a circRNA from a single promoter (CIRCUS, circRNA and upstream linear system), enabling efficient screening of circRNA-driven cellular phenotypes, including site-specific A-to-I editing of target mRNAs. Together, this toolkit provides high-purity circRNA production suitable for mechanistic studies and circRNA-based therapeutic development.

molecular biology↗

Full-length transcriptomics and proteomics reveal how genome minimization reshapes gene expression in synthetic bacteria

JCVI-syn1.0 (Syn1.0) and JCVI-syn3A (Syn3A), genetically synthetic and genome-reduced versions of the naturally occurring bacterium Mycoplasma mycoides, are landmark platforms for defining the gene set required for life, yet how their genomes are expressed at the RNA level remains uncharacterized. We combined full-length PacBio and native long-read RNA sequencing with short-read quantification and complementary proteomics to map transcription, RNA processing, and protein abundance in both cells. In Syn1.0, full-length sequencing resolved 459 operons encompassing 911 genes, revealing pervasive RNA processing with a strong 3' bias. Analysis of the division and cell-wall cluster showed how transcriptional context explained the restoration of genes required for normal cell division in Syn3A. Most antisense and intergenic transcription in Syn1.0 reflected low-level transcriptional noise arising from inherited mis-annotation, read-through, and synthetic sequences. Much of that transcription was lost in Syn3A after genome minimization. Reducing the genome unexpectedly altered the expression of several retained genes by deleting promoters, most prominently reducing expression of the nucleoid protein HupA and central-carbon enzymes. Meanwhile, one third of the coding mRNA pool was allocated to a single 21-gene ribosomal-protein operon, while several other ribosomal proteins had reduced transcript abundance, which possibly led to imbalanced ribosome assembly. Expression of RNA polymerase and central-carbon metabolism declined at both mRNA and protein levels whereas RNase Y degradosome abundance increased. These shifts in the synthetic evolution of Syn3A suggest plausible mechanisms for its reduced chromosome contacts and slower growth. Together, these results show that genome minimization alters not only gene content but also the transcriptional context and resource allocation of retained genes. The analysis and visualization that are shared via Jupyter Notebook provide the RNA-level foundation for whole-cell modeling of the minimal cell.

synthetic biology↗

Treatment of Huntington's disease with a pan-HTT-targeting CRISPR nuclease

Huntingtons disease (HD) is an inherited neurodegenerative disorder caused by an expansion of a CAG trinucleotide repeat in the huntingtin (HTT) gene, which leads to a mutant protein that destroys neurons in the brain. Despite intense effort, there remains no approved disease-modifying therapy for HD. Here we develop a pan-HTT-targeting CRISPR-Cas9 system that, when delivered to the striatum of R6/2 and YAC128 mice by AAV5, lowered mutant HTT mRNA and protein by 55-80% via its induction of frameshift-inducing indel mutations in HTT exon 1. Cas9 targeting improved motor coordination and locomotor activity, decreased anxiety-like deficits, reduced clasping and weight loss, limited striatal atrophy, and decreased the formation of intranuclear inclusions immunoreactive for the mutant HTT protein. In Hu21/21 mice, which carry the wild-type human HTT gene in lieu of the mouse ortholog, Cas9 lowered the HTT protein by 44% but induced no measurable behavioral deficits and had no adverse effect on neuronal viability, though its targeting was associated with neuroinflammation. Altogether, our results demonstrate the ability for a newly developed pan-HTT-targeting Cas9 system to affect HD-related phenotypes across models and provides insights into its tolerability.

bioengineering↗

Unraveling the Transcriptional Landscape within a Minimized Bacterium via Comparative Analysis

Stochastic nature of gene expression leads to the complex formation of the bacterial transcriptome and proteome. In contrast to typical transcriptome studies, we employ a near wild-type, Syn1.0, of the naturally genome-reduced Mycoplasmas, and the dramatically further genome-reduced JCVI-syn3A thus avoiding additional contributions from many non-essential cellular functions. To aid in profiling the transcriptional landscape within these bacteria, we present a bioinformatic analysis of the genetic sequence motifs implicated in modulating the stochastic gene expression events, coupled with genome-wide short-read (Illumina) and long-read (Oxford Nanopore Technologies and Pacfic Biosciences) RNA sequencing. The bioinformatic analysis coupled with information from structural studies assigns strengths of the Shine-Dalgarno signatures and identifies both transcription initiation and termination sites, leading to predictions of RNA isoforms in Syn1.0 (and related organisms). The long-read and short-read RNA sequencing characterized the predicted transcriptional activity, and the long-read methods provide direct insight into the RNA isoform complexity within Syn1.0. Comparison of the RNA sequencing results with that of the bioinformatic analysis highlights the inability of bioinformatics alone to capture the results of bacterial transcription without including effects of RNA degradation. This study emphasizes the need for comparative analysis and potential dangers of genome reduction, exemplified through the discovery of altered gene expression patterns of JCVI-syn1.0 and JCVI-syn3A, achieved via the union of our transcriptome study with their proteomics data. Analysis of the transcriptomics data sets through a Jupyter notebook allows any genomic region to be easily examined. Table of Content Image O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/681674v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@78a9e0org.highwire.dtl.DTLVardef@1d8c9fcorg.highwire.dtl.DTLVardef@1b4e129org.highwire.dtl.DTLVardef@2a8c3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

An improved gray whale assembly highlights how allospecific reference-genome choice can affect genomic diversity estimates

Gray whales (Eschrichtius robustus) are unique as bottom feeding baleen whales and they have long been a conservation concern on both sides of the Pacific, in part because they migrate and disperse farther than any other species on earth. They experienced drastic population size declines due to environmental changes and commercial whaling. Here, we present an improved genome assembly for the gray whale. This genome assembly covers 2.4 Gb divided across 2689 contigs with an N50 of 15Mb. From the new assembly, we identify 75Mb sex-linked contigs and a identify 94.6% of searched genes based on Benchmarking Universal Single-Copy Ortholog score. We use the gray whale assembly to explore the effects of mapping to conspecific vs allospecific reference genomes when estimating genome-wide heterozygosity (H) and runs of homozygosity (ROH). The use of allospecific genomes significantly underestimate both H and ROH burden regardless of genomic distance and assembly quality. Our analyses highlight the importance of using contiguous conspecific assemblies in whale genomics and conservation. SignificanceGray whales are unique in their behavior, morphology and ecology. The novel and contiguous genome assembly presented here will serve as a valuable resource for studies of their population and comparative genomics, as well as for identifying key adaptations that have evolved in this clade. Finally, our results demonstrate that biases can arise when using allopatric assemblies to evaluate diversity metrics, so they should be used and interpreted with caution.

evolutionary biology↗

MicroRNAs and PFAS: A Pilot Study in Blood Collected from Firefighters

Per- and polyfluoroalkyl substances (PFAS) are chemicals with widespread industrial and consumer applications, and firefighters are known to be at risk of elevated PFAS exposure due to their occupational activities. This study aims to assess PFAS exposure and explore potential mechanistic insights through miRNA sequencing of plasma exosomes, in relation to PFAS levels in the general population. The study included 34 firefighter participants. PFAS levels in plasma were analyzed, and miRNA sequencing of plasma exosomes was conducted. The findings were compared with the general population data from the National Health and Nutrition Examination Survey (NHANES). While total PFAS levels did not significantly differ between firefighters and the general population in the cohort considered, variations in individual PFAS compounds were observed. MiRNA sequencing revealed substantial heterogeneity in miRNA expression patterns. Associations between serum PFAS levels and biochemical indicators suggested potential health implications, although further mechanistic insights need to be explored.

pharmacology and toxicology↗

IntS6 and the Integrator phosphatase module tune the efficiency of select premature transcription termination events

The metazoan-specific Integrator complex catalyzes 3 end processing of small nuclear RNAs (snRNAs) as well as premature transcription termination events that attenuate expression of many protein-coding genes. Integrator has RNA endonuclease and protein phosphatase activities, but it remains unclear if both are always required for complex function. Here, we show that IntS6 (Integrator subunit 6) over-expression is sufficient to block Integrator function at a subset of Drosophila protein-coding genes, while having no effect on snRNA processing or attenuation of other loci. Over-expressed IntS6 titrates protein phosphatase 2A (PP2A) subunits from the rest of the Integrator complex and thus the only loci affected are those where the phosphatase module is necessary for Integrator function. IntS6 functions analogous to a PP2A regulatory B subunit as over-expression of canonical B subunits, which do not associate with Integrator, are also sufficient to inhibit Integrator function at select loci. Altogether, these results show that the phosphatase module is critical and limiting at only a subset of Integrator regulated genes and point to recruitment of PP2A via IntS6 as a tunable step that can be used to modulate transcription termination efficiency.

molecular biology↗

Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection

The global evolution of SARS-CoV-2 depends in part upon the evolutionary dynamics within individual hosts with varying immune histories. To characterize the within-host evolution of acute SARS-CoV-2 infection, we deep sequenced saliva and nasal samples collected daily from immune and unvaccinated individuals early during infection. We show that longitudinal sampling facilitates high-confidence genetic variant detection and reveals evolutionary dynamics missed by less-frequent sampling strategies. Within-host dynamics in both naive and immune individuals appeared largely stochastic; however, we identified clear mutational hotspots within the viral genome, consistent with selection and differing between naive and immune individuals. In rare cases, minor genetic variants emerged to frequencies sufficient for forward transmission. Finally, we detected significant genetic compartmentalization of virus between saliva and nasal swab sample sites in many individuals. Altogether, these data provide a high-resolution profile of within-host SARS-CoV-2 evolutionary dynamics.

microbiology↗

H3AGWAS : A portable workflow for Genome Wide Association Studies

BackgroundGenome-wide association studies (GWAS) are a powerful method to detect associations between variants and phenotypes. A GWAS requires several complex computations with large data sets, and many steps may need to be repeated with varying parameters. Manual running of these analyses can be tedious, error-prone and hard to reproduce. ResultsThe H3AGWAS workflow from the Pan-African Bioinformatics Network for H3Africa is a powerful, scalable and portable workflow implementing pre-association analysis, implementation of various association testing methods and postassociation analysis of results. ConclusionsThe workflow is scalable -- laptop to cluster to cloud (e.g., SLURM, AWS Batch, Azure). All required software is containerised and can run under Docker on Singularity.

bioinformatics↗

Sequencing of Argonaute-bound miRNA/mRNA hybrids reveals regulation of the unfolded protein response by microRNA-320a

MicroRNAs (miRNA) are short non-coding RNAs widely implicated in gene regulation. Most metazoan miRNAs utilize the RNase III enzymes Drosha and Dicer for biogenesis. One notable exception is the RNA polymerase II transcription start sites (TSS) miRNAs whose biogenesis does not require Drosha. The functional importance of the TSS-miRNA biogenesis is uncertain. To better understand the function of TSS-miRNAs, we applied a modified Crosslinking, Ligation, and Sequencing of Hybrids on Argonaute (AGO-qCLASH) to identify the targets for TSS-miRNAs in HCT116 colorectal cancer cells with or without DROSHA knockout. We observed that miR-320a hybrids dominate in TSS-miRNA hybrids identified by AGO-qCLASH. Targets for miR-320a are enriched in the eIF2 signaling pathway, a downstream component of the unfolded protein response. Consistently, in miR-320a mimic- and antagomir- transfected cells, differentially expressed genes are enriched in eIF2 signaling. Within the AGO-qCLASH data, we identified the endoplasmic reticulum (ER) chaperone Calnexin as a direct miR-320a target, thus connecting miR-320a to the unfolded protein response. During ER stress, but not amino acid deprivation, miR-320a up-regulates ATF4, a critical transcription factor for resolving ER stress. Our study investigates the targetome of the TSS-miRNAs in colorectal cancer cells and establishes miR-320a as a regulator of unfolded protein response.

molecular biology↗

A non-canonical microRNA derived from the snaR-A non-coding RNA targets a metastasis inhibitor

MicroRNAs (miRNAs) are small noncoding RNAs that function as critical post-transcriptional regulators in various biological processes. While most miRNAs are generated from processing of long primary transcripts via sequential Drosha and Dicer cleavage, some miRNAs that bypass Drosha cleavage can be transcribed as part of another small non-coding RNA. Here, we develop the Target-Oriented miRNA Discovery (TOMiD) bioinformatic analysis method to identify Drosha-independent miRNAs from Argonaute crosslinking and sequencing of hybrids (Ago-CLASH) datasets. Using this technique, we discovered a novel miRNA derived from a primate specific non-coding RNA, the small NF90 associated RNA A (snaR-A). The miRNA derived from snaR-A (miR-snaR) arises independent of Drosha processing, but requires Exportin-5 and Dicer for biogenesis. We identify that miR-snaR is concurrently upregulated with the full snaR-A transcript in cancer cells. Functionally, miR-snaR associates with Ago proteins and targets NME1, a key metastasis inhibitor, contributing to snaR-As role in promoting cancer cell migration. Our findings suggest a functional link between a novel miRNA and its precursor non-coding RNA.

molecular biology↗

Illumina-based sequencing framework for accurate detection and mapping of influenza virus defective interfering particle-associated RNAs

The mechanisms and consequences of defective interfering particle (DIP) formation during influenza virus infection remain poorly understood. The development of next generation sequencing (NGS) technologies has made it possible to identify large numbers of DIP-associated sequences, providing a powerful tool to better understand their biological relevance. However, NGS approaches pose numerous technical challenges including the precise identification and mapping of deletion junctions in the presence of frequent mutation and base-calling errors, and the potential for numerous experimental and computational artifacts. Here we detail an Illumina-based sequencing framework and bioinformatics pipeline capable of generating highly accurate and reproducible profiles of DIP-associated junction sequences. We use a combination of simulated and experimental control datasets to optimize pipeline performance and demonstrate the absence of significant artifacts. Finally, we use this optimized pipeline to generate a high-resolution profile of DIP-associated junctions produced during influenza virus infection and demonstrate how this data can provide insight into mechanisms of DIP formation. This work highlights the specific challenges associated with NGS-based detection of DIP-associated sequences, and details the computational and experimental controls required for such studies.

microbiology↗