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Cherry, J.

Publications and source records attributed to Cherry, J..

8 recordsLinked to original sources

A bistable type III secretion system is primed and loaded in Pseudomonas aeruginosa hypervirulent isolates with positively selected codon changes in exsA or exsD

Pseudomonas aeruginosa has multiple virulence factors that promote airway infections in people with immune deficiencies. Most clinical isolates from human infections have functional type III secretion systems (T3SSs) that are subject to bistable regulation and secrete the cytotoxic effector ExoS into neutrophils. During airway infection in people with cystic fibrosis (CF), P. aeruginosa maintains bistable regulation or genetically adapts by inactivating or hyperactivating T3SS expression. CF clinical isolates with hyperactive T3SSs have codon changes in the transcriptional regulators, exsA or exsD. It is not known how these mutations: 1) arise, 2) promote hypervirulence, or 3) impact bistable T3SS regulation. To understand how these mutants arise, ~24,000 genomes in the NCBI Pathogens database were searched for positively selected mutations in exs genes based on nonsynonomous to synonymous codon change ratios. Missense and nonsense mutations were detected in exsA (47) or exsD (45) the majority of which are predicted to be positively selected. To determine how one of these codon changes promotes hypervirulence, an exsAT48I isolate was used to establish lung infections in mice engineered with a CF genotype. The exsAT48I mutant and an exsA+ control had similar lung burdens, but the former caused exacerbated weight loss and lung inflammation, suggesting immunopathology from phagocyte death as the cause of hypervirulence. Two additional hyperactive mutants were identified by screening a small collection of isolates from children with CF. Immunoblotting and fluorescence microscopy showed that hyperactive exsA or exsD mutants increased production of T3SS injectisomes and effectors, indicating they have locked on (primed and loaded) phenotypes. ExsA dimer modeling revealed that codon changes like T48I in the {beta}-barrel domain cause a conformational change that hyperactivates the transcription factor. These results define that hyperactive mutants are positively selected, hypervirulent due to lung inflammation, and have primed and loaded T3SSs.

microbiology↗

Age-informed, attention-based weakly supervised learning for neuropathological image assessment

Chronic Traumatic Encephalopathy (CTE) and other neurodegenerative disorders (NDs) pose diagnostic challenges due to their diffuse and subtle pathological changes. Traditional diagnostic methods relying on manual histopathological slide inspection are labor-intensive and prone to variability, often missing subtle structural alterations. This study introduces an age-informed, attention-based multiple instance learning (MIL) pipeline to predict AT8 density, a key marker of p-tau aggregation in CTE. Using Luxol Fast Blue and Hematoxylin & Eosin (LH&E) stained images, our model identifies critical pathological regions and generates interpretable attention maps highlighting structural changes linked to tau pathology. Incorporating patient age enhances predictive accuracy and contextual understanding, addressing agings confounding effects. We also develop quantitative evaluation procedures for foundation models (FMs), assessing attention map smoothness, faithfulness, and robustness to perturbations like stain variability and noise. These benchmarks facilitate informed FM selection and optimization for neuropathological tasks. By enabling scalable, automated whole-slide image (WSI) analysis, our approach advances digital neuropathology, supporting earlier and more precise ND diagnoses and uncovering subtle markers with potential applications in clinical imaging.

bioinformatics↗

Diverse somatic genomic alterations in single neurons in chronic traumatic encephalopathy

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that is linked to exposure to repetitive head impacts (RHI), yet little is known about its pathogenesis. Applying two single-cell whole-genome sequencing methods to hundreds of neurons from prefrontal cortex of 15 individuals with CTE, and 4 with RHI without CTE, revealed increased somatic single-nucleotide variants in CTE, resembling a pattern previously reported in Alzheimers disease (AD). Furthermore, we discovered remarkably high burdens of somatic small insertions and deletions in a subset of CTE individuals, resembling a known pattern, ID4, also found in AD. Our results suggest that neurons in CTE experience stereotyped mutational processes shared with AD; the absence of similar changes in RHI neurons without CTE suggests that CTE involves mechanisms beyond RHI alone.

genomics↗

AutoMorFi: Automated Whole-image Morphometry in Fiji/ImageJ for Diverse Image Analysis Needs

Running on the highly popular and accessible ImageJ/Fiji platform for biological image analysis, we have established AutoMorFi as a streamlined interface for automated whole-image morphometric analysis that generates at least 47 measurements per cell or object in under 1 minute. We performed multiple validated cluster and principal component analyses on nonredundant morphometric parameters derived from AutoMorFi for various cell types, objects, and organisms. We used images of rodent macrophages, human postmortem brain tissues from multiple sclerosis (MS) and Alzheimers disease (AD) patients, iPSC/animal models for Downs syndrome and autism spectrum disorder (ASD), and organisms such as sea anemone and corals. AutoMorFis adaptability extends across diverse imaging modalities including brightfield, confocal, or widefield fluorescence microscopy as well as underwater photography. Due to its unlimited and unbiased sampling across any image and high potential for modification and customization, using AutoMorFi has led to the discovery of new distinguishing features in previously studied cell types and organisms as well as the development of rapid diagnostic approaches. AutoMorFi represents a transformative tool that will accelerate morphometric analysis and offer broad relevance in biological studies.

cell biology↗

Inflammation and neuronal gene expression changes differ in early vs late chronic traumatic encephalopathy brain

Our understanding of the molecular underpinnings of chronic traumatic encephalopathy (CTE) and its associated pathology in post-mortem brain is incomplete. Factors including years of play and genetic risk variants influence the extent of tau pathology associated with disease expression, but how these factors affect gene expression, and whether those effects are consistent across the development of disease, is unknown. To address these questions, we conducted an analysis of the largest mRNASeq whole-transcriptome dataset available to date. We examined the genes and biological processes associated with disease by comparing individuals with CTE with control individuals with a history of repetitive head impacts that lack CTE pathology. We then identified genes and biological processes associated with total years of play as a measure of exposure, amount of tau pathology present at time of death, and the presence of APOE and TMEM106B risk variants. Samples were stratified into low and high pathology groups based on extent of tau pathology and years of play to model early vs late changes in response to exposure, and the relative effects associated with these factors were compared between these groups. Substantial gene expression changes were associated with severe disease for most of these factors, primarily implicating diverse, highly increased neuroinflammatory and neuroimmune processes. In contrast, low exposure groups had many fewer genes and processes implicated and show striking differences for some factors when compared with severe disease. Specifically, gene expression associated with amount of tau pathology showed a nearly perfect inverse relationship when compared between these two groups. Together, these results suggest the early disease process may differ substantially from that observed in late stages, that total years of play and tau pathology influence disease expression differently, and that related pathology-modifying risk variants may do so via distinct biological pathways.

genomics↗

Dysregulated coordination of MAPT exon 2 and exon 10 splicing underlies different tau pathologies in PSP and AD

Understanding regulation of MAPT splicing is important to the etiology of many nerurodegenerative diseases, including Alzheimer disease (AD) and progressive supranuclear palsy (PSP), in which different tau isoforms accumulate in pathologic inclusions. MAPT, the gene encoding the tau protein, undergoes complex alternative pre-mRNA splicing to generate six isoforms. Tauopathies can be categorized by the presence of tau aggregates containing either 3 (3R) or 4 (4R) microtubule binding domain repeats (determined by inclusion/exclusion of exon 10), but the role of the N terminal domain of the protein, determined by inclusion/exclusion of exons 2 and 3 has been less well studied. Using an unbiased correlational screen in human brain tissue, we observed coordination of MAPT exons 2 and 10 splicing. Expression of exon 2 splicing regulators and subsequently exon 2 inclusion are differentially disrupted in PSP and AD brain, resulting in the accumulation of 1N4R isoforms in PSP and 0N isoforms in AD temporal cortex. Furthermore, we identified different N-terminal isoforms of tau present in neurofibrillary tangles, dystrophic neurites and tufted astrocytes, indicating a role for differential N-terminal splicing in the development of disparate tau neuropathologies. We conclude that N-terminal splicing and combinatorial regulation with exon 10 inclusion/exclusion is likely to be important to our understanding of tauopathies.

neuroscience↗

HEx: a heterologous expression platform for the discovery of fungal natural products

For decades, fungi have been a source of FDA-approved natural products such as penicillin, cyclosporine, and the statins. Recent breakthroughs in DNA sequencing suggest that millions of fungal species exist on Earth with each genome encoding pathways capable of generating as many as dozens of natural products. However, the majority of encoded molecules are difficult or impossible to access because the organisms are uncultivable or the genes are transcriptionally silent. To overcome this bottleneck in natural product discovery, we developed the HEx (Heterologous EXpression) synthetic biology platform for rapid, scalable expression of fungal biosynthetic genes and their encoded metabolites in Saccharomyces cerevisiae. We applied this platform to 41 fungal biosynthetic gene clusters from diverse fungal species from around the world, 22 of which produced detectable compounds. These included novel compounds with unexpected biosynthetic origins, particularly from poorly studied species. This result establishes the HEx platform for rapid discovery of natural products from any fungal species, even those that are uncultivable, and opens the door to discovery of the next generation of natural products.\n\nSummaryHere we present the largest scale effort reported to date toward the complete refactoring and heterologous expression of fungal biosynthetic gene clusters utilizing HEx, a novel synthetic biology platform.

synthetic biology↗

Substrate-triggered position-switching of TatA and TatB is an essential step in the Escherichia coli Tat protein export pathway.

The twin arginine protein transport (Tat) machinery mediates the translocation of folded proteins across the cytoplasmic membrane of prokaryotes and the thylakoid membrane of plant chloroplasts. The Escherichia coli Tat system comprises TatC and two additional sequence-related proteins, TatA and TatB. Here we use disulfide crosslinking and molecular modelling to show there are two binding sites for TatA/B proteins on TatC. TatA and TatB are each able to occupy both sites if they are the only TatA/B protein present. However, under resting conditions the sites are differentially occupied with TatB occupying the polar cluster site while TatA binds adjacently at the TatC transmembrane helix 6 binding site. When the Tat system is activated by the overproduction of a substrate, TatA and TatB switch their binding sites. We propose that this substrate-triggered positional exchange is a key step in the assembly of an active Tat translocase.

microbiology↗