Biology subjects

Fisher, A. J.

Publications and source records attributed to Fisher, A. J..

11 recordsLinked to original sources

bioRxiv2026

Structural Connectivity Between the Zinc Linchpin Motif, the cluster, and the active site orchestrates DNA repair in MUTYH

The DNA glycosylase MUTYH protects genomic integrity by excising adenine mispaired with 8-oxoguanine (OG), which initiates base excision repair (BER). The [4Fe-4S] cluster DNA binding domain and Zn linchpin motif of MUTYH are hotspots for inherited cancer associated variants (CAVs) highlighting their critical functions in DNA repair. Here, we present three full-length human MUTYH crystal structures bound to DNA across three catalytic states, representing early and late transition states and product complexes. These structures reveal a previously unrecognized interplay between the Zn site and the Fe-S cluster mediated by His85 and a conserved Arg247/Arg307 bridge spanning [~]15 [A]. Disruption of this network impairs metal loading, reduces the active enzyme fraction, weakens lesion DNA binding, and diminishes OG:A repair in cells. Moreover, the Zn site adopts distinct coordination modes across the reaction coordinate, with a water molecule replacing a cysteine ligand in transition state analog complexes and cysteine coordination restored in a product-mimicked state. Functional analyses show that this ligand switching is dispensable for core glycosylase chemistry in vitro but disproportionately affects repair in cells, suggesting an additional role of the Zn linchpin in cellular OG:A repair beyond intrinsic glycosylase activity, likely involving interactions with BER partners. Together, these findings illustrate how the Zn linchpin enhances Fe-S cluster domain DNA substrate engagement to enable effective DNA repair and provides a rationale for how these functions are compromised by MUTYH CAVs.

biochemistry↗

bioRxiv2025

Crystal structure of MutYX: A novel clusterless adenine DNA glycosylase with a distinct C-terminal domain and 8-Oxoguanine recognition sphere

The [4Fe-4S] cluster is an important cofactor of the base excision repair (BER) adenine DNA glycosylase MutY to prevent mutations associated with 8-oxoguanine (OG). Several MutYs lacking the [4Fe-4S] cofactor have been identified. Phylogenetic analysis shows that clusterless MutYs are distributed in two clades suggesting cofactor loss in two independent evolutionary events. Herein, we determined the first crystal structure of a clusterless MutY complexed with DNA. On the basis of the dramatic structural divergence from canonical MutYs, we refer to this as representative of a clusterless MutY subgroup "MutYX". Interestingly, MutYX compensates for the missing [4Fe-4S] cofactor to maintain positioning of catalytic residues by expanding a pre-existing -helix and acquisition of the new -helix. Surprisingly, MutYX also acquired a new C-terminal domain that uniquely recognizes OG using residue Gln201 and Arg209. Adenine glycosylase assays and binding affinity measurements indicate that Arg209 is the primary residue responsible to specificity for OG:A lesions, while Gln201 bridges OG and Arg209. Surprisingly, replacement of Arg209 and Gln201 with Ala increases activity toward G:A mismatches. The MutYX structure serves as an example of devolution, capturing structural features required to retain function in the absence of a metal cofactor considered indispensable.

biochemistry↗

bioRxiv2024

Structure of human MUTYH and functional profiling of cancer-associated variants reveal an allosteric network between its cluster cofactor and active site required for DNA repair

MUTYH is a clinically important DNA glycosylase that thwarts mutations by initiating base-excision repair at 8-oxoguanine (OG):A lesions. The roles for its [4Fe-4S] cofactor in DNA repair remain enigmatic. Functional profiling of cancer-associated variants near the [4Fe-4S] cofactor revealed that most variations abrogate both retention of the cofactor and enzyme activity. Surprisingly, R241Q and N238S retained the metal center and bound substrate DNA tightly but were completely inactive. We solved the crystal structure of human MUTYH bound to a transition state mimic and this revealed that Arg241 and Asn238 build an H-bond network connecting the [4Fe-4S] cluster to the catalytic Asp236 that mediates base excision. The structure of the bacterial MutY variant R149Q, along with molecular dynamics simulations of the human enzyme, show the cofactor functions to position and activate the catalytic Asp. These results suggest that allosteric cross-talk between the DNA binding [4Fe-4S] cofactor and the base excision site regulate DNA repair.

biochemistry↗

bioRxiv2024

Extracellular Matrix-Induced Genes May Reduce Response to Rapamycin in LAM

RationaleLymphangioleiomyomatosis (LAM) is a rare cystic lung disease driven by nodules containing TSC2-/- LAM cells and recruited LAM associated fibroblasts (LAFs). Although rapamycin reduces lung function loss, some patients continue to decline meaning additional therapies are needed. ObjectivesTo investigate how the LAM nodule environment affects LAM cell proliferation and the response to rapamycin. MethodsChanges in advanced LAM were identified using shotgun proteomics and immunohistochemistry in tissue from carefully phenotyped patients. Genes potentially associated with rapamycin insensitivity of cells grown on LAF-derived extracellular matrix were identified by RNA sequencing and validated using repurposed pharmacologic inhibitors. Main ResultsMore advanced disease was associated with increasing nodules adjacent to lung cysts and greater decline in forced expiratory volume in 1 sec (FEV1) when treated with rapamycin (p=0.005). In late-stage LAM, proteomics identified upregulation of pathways associated with accumulation of activated fibroblasts, including extracellular matrix deposition, glucose metabolism and the actin cytoskeleton. Picrosirius red staining and immunohistochemistry confirmed deposition of extracellular matrix within LAM nodules. The growth of TSC2-/- model LAM cells was increased on LAF-derived extracellular matrix (LAF ECM), and incompletely supressed by rapamycin (p<0.0001). RNA sequencing of cells grown on LAF ECM identified upregulation of pathways driving cell cycle control, transcription and metabolism in cells. Tractable, pro-proliferative, rapamycin insensitive genes included CDK7, GAS6 and PLAU. Repurposed inhibitors of these pathways inhibited LAM cell proliferation and enhanced the anti-proliferative effect of rapamycin. ConclusionsExtracellular matrix deposited by LAM associated fibroblasts upregulates expression of genes which potentially blunt the response to rapamycin, but offer additional therapeutic opportunities for patients with established LAM.

cell biology↗

bioRxiv2023

Integrated histopathology, spatial and single cell transcriptomics resolve cellular drivers of early and late alveolar damage in COVID-19

The most common cause of death due to COVID-19 remains respiratory failure. Yet, our understanding of the precise cellular and molecular changes underlying lung alveolar damage is limited. Here, we integrate single cell transcriptomic data of COVID-19 donor lungs with spatial transcriptomic data stratifying histopathological stages of diffuse alveolar damage (DAD). We identify changes in cellular composition across progressive DAD, including waves of molecularly distinct macrophages and depleted epithelial and endothelial populations throughout different types of tissue damage. Predicted markers of pathological states identify immunoregulatory signatures, including IFN-alpha and metallothionein signatures in early DAD, and fibrosis-related collagens in organised DAD. Furthermore, we predict a fibrinolytic shutdown via endothelial upregulation of SERPINE1/PAI-1. Cell-cell interaction analysis revealed macrophage-derived SPP1/osteopontin signalling as a key regulator during early DAD. These results provide the first comprehensive, spatially resolved atlas of DAD stages, highlighting the cellular mechanisms underlying pro-inflammatory and pro-fibrotic pathways across alveolar damage progression.

pathology↗

bioRxiv2023

OPTIMAL: An OPTimsed Imaging Mass cytometry AnaLysis framework for Segmentation and Data Exploration

Analysis of Imaging Mass Cytometry (IMC) data and other low-resolution multiplexed tissue imaging technologies is often confounded by poor single cell segmentation and sub-optimal approaches for data visualisation and exploration. This can lead to inaccurate identification of cell phenotypes, states or spatial relationships compared to reference data from single cell suspension technologies. To this end we have developed the "OPTIMAL" framework to benchmark any approaches for cell segmentation, parameter transformation, batch effect correction, data visualisation/clustering and spatial neighbourhood analysis. Using a panel of 27 metal-tagged antibodies recognising well characterised phenotypic and functional markers to stain the same FFPE human tonsil sample Tissue Microarray (TMA) over 12 temporally distinct batches we tested several cell segmentation models, a range of different arcsinh cofactor parameter transformation values, five different dimensionality reduction algorithms and two clustering methods. Finally we assessed the optimal approach for performing neighbourhood analysis. We found that single cell segmentation was improved by the use of an Ilastik-derived probability map but that issues with poor segmentation were only really evident after clustering and cell type/state identification and not always evident when using "classical" bi-variate data display techniques. The optimal arcsinh cofactor for parameter transformation was 1 as it maximised the statistical separation between negative and positive signal distributions and a simple Z-score normalisation step after arcsinh transformation eliminated batch effects. Of the five different dimensionality reduction approaches tested, PacMap gave the best data structure with FLOWSOM clustering out-performing Phenograph in terms of cell type identification. We also found that neighbourhood analysis was influenced by the method used for finding neighbouring cells with a "disc" pixel expansion outperforming a "bounding box" approach combined with the need for filtering objects based on size and image-edge location. Importantly OPTIMAL can be used to assess and integrate with any existing approach to IMC data analysis and, as it creates .FCS files from the segmentation output, allows for single cell exploration to be conducted using a wide variety of accessible software and algorithms familiar to conventional flow cytometrists.

bioinformatics↗

bioRxiv2022

Identification of a Broadly Fibrogenic Macrophage Subset Induced by Type 3 Inflammation in Human and Murine Liver and Lung Fibrosis

Macrophages are central orchestrators of the tissue response to injury, with distinct macrophage activation states playing key roles in the progression and resolution of fibrosis. Identifying the unique fibrogenic macrophages that are found in human fibrotic tissues could lead to new and more effective treatments for fibrosis. Here we used human liver and lung single cell RNA sequencing datasets to identify a unique subset of CD9+ TREM2+ macrophages expressing SPP1, GPNMB, FABP5, and CD63 with strong pro-fibrotic activity. This population was validated across orthogonal techniques, species and tissues. These macrophages were enriched at the outside edges of scarring adjacent to activated mesenchymal cells, and in the fibrotic niche across species and organs. Neutrophils producing the type 3 cytokines GM-CSF and IL-17A, and expressing MMP9, which participates in the activation of TGF-{beta}1, clustered with these scar-associated macrophages. Using in vitro primary human cell assays, we determined that GM-CSF, IL-17A and TGF-{beta}1 drive the differentiation of these scar-associated macrophages, and that co-culture of monocyte-derived macrophages with hepatic stellate cells and TGF-{beta}1 augmented type 1 collagen deposition. In vivo blockade of GM-CSF, IL-17A or TGF-{beta}1 with small or large molecules reduced scar-associated macrophage expansion and fibrosis in multiple models of hepatic and pulmonary fibrosis. Our work demonstrates that a specific scar-associated macrophage population is linked with fibrosis across species and tissues. It further provides a strategy for unbiased discovery, triage and preclinical validation of therapeutic targets within this fibrogenic macrophage population.

immunology↗

bioRxiv2020

Muscle fiber type differences in nitrate and nitrite storage and nitric oxide signaling in rats

Recent studies have emphasized the importance of the nitric oxide synthase (NOS)-independent, nitrate (NO3-) [->] nitrite (NO2-) [->] nitric oxide (NO) pathway in skeletal muscle. In particular, it has been hypothesized that this pathway is especially active in type II, or fast-twitch, muscle fibers, necessitating greater NO3- and NO2- storage. We therefore measured NO3- and NO2- concentrations in the predominantly fast-twitch vastus lateralis and predominantly slow-twitch soleus muscles of rats. Contrary to the above hypothesis, we found that NO3- and NO2- concentrations were 3.4-fold and 1.8-fold higher, respectively, in the soleus. On the other hand, NO signaling (i.e., cyclic guanosine monophosphate (cGMP) level) was comparable in the two muscles. Although the physiological significance of these observations remains to be determined, we speculate that NO production via the NO3- [->] NO2- [->] NO pathway is normally higher in slow-twitch muscles, thus helping compensate for their inherently lower NOS activity.

physiology↗

bioRxiv2019

Multiomic and quantitative label-free microscopy-based analysis of ex vivo culture and TGFbeta1 stimulation of human precision-cut lung slices

Fibrosis can affect any organ resulting in the loss of tissue architecture and function with often life-threatening consequences. Pathologically, fibrosis is characterised by expansion of connective tissue due to excessive deposition of extracellular matrix proteins (ECM), including the fibrillar forms of collagen. A significant hurdle for discovering cures for fibrosis is the lack of suitable models and techniques to quantify mature collagen deposition in tissues. Here we have extensively characterized an ex-vivo cultured human lung derived, precision-cut lung slices model (hPCLS) using live fluorescence light microscopy as well as mass spectrometry-based techniques to obtain a proteomic and metabolomic fingerprint. Using an integrated approach of multiple readouts such as quantitative label-free Second Harmonic Generation (SHG) imaging to measure fibrillar collagen in the extracellular matrix and ELISA-based methods to measure soluble ECM biomarkers, we investigated TGFbeta1-mediated pro-fibrotic signalling in hPCLS. We demonstrate that hPCLS are viable and metabolically active with mesenchymal, epithelial, endothelial, and immune cells surviving for at least two weeks in ex vivo culture. Analysis of hPCLS-conditioned supernatants showed strong induction of ECM synthesis proteins P1NP and fibronectin upon TGFb stimulation. Importantly, this effect translated into an increased deposition of fibrillar collagen in ECM of cultured hPCLS as measured by a novel quantitative SHG-based imaging method only following addition of a metalloproteinase inhibitor (GM6001). Together the data show that an integrated approach of measuring soluble pro-fibrotic markers and quantitative SHG-based analysis of fibrillar collagen is a valuable tool for studying pro-fibrotic signalling and testing anti-fibrotic agents.

physiology↗

bioRxiv2019

The circadian clock protein REVERBα inhibits pulmonary fibrosis development

Pulmonary inflammatory responses lie under circadian control; however the importance of circadian mechanisms in fibrosis is not understood. Here, we identify a striking change to these mechanisms resulting in a gain of amplitude and lack of synchrony within pulmonary fibrotic tissue. These changes result from an infiltration of mesenchymal cells, an important cell type in the pathogenesis of pulmonary fibrosis. Mutation of the core clock protein REVERB in these cells exacerbated the development of bleomycin-induced fibrosis, whereas mutation of REVERB in club or myeloid cells had no effect on the bleomycin phenotype. Knockdown of REVERB revealed regulation of the poorly described transcription factor TBPL1. Both REVERB and TBPL1 altered integrin{beta}1 focal adhesion formation, resulting in increased myofibroblast activation. The translational importance of our findings was established through analysis of two human cohorts. In the UK Biobank circadian strain markers (sleep length, chronotype and shift work) are associated with pulmonary fibrosis making them novel risk factors. In a separate cohort REVERB expression was increased in human idiopathic pulmonary fibrosis (IPF) lung tissue. Pharmacological targeting of REVERB inhibited myofibroblast activation in IPF fibroblasts and collagen secretion in organotypic cultures from IPF patients, suggesting targeting REVERB could be a viable therapeutic approach.\n\nSignificanceThe circadian clock plays an essential role in energy metabolism, and inflammation. In contrast the importance of the clock in the pathogenesis of fibrosis remains poorly explored. This study describes a striking alteration in circadian biology during pulmonary fibrosis where the relatively arrhythmic alveolar structures gain circadian but desynchronous rhythmicity due to infiltration by fibroblasts. Disruption of the clock in these cells, which are not widely implicated in circadian pathophysiology, results in a pro-fibrotic phenotype. Translation of these findings in humans revealed previously unrecognised important circadian risk factors for pulmonary fibrosis (sleep length, chronotype and shift work). In addition, targeting REVERB repressed collagen secretion from human fibrotic lung tissue making this protein a promising therapeutic target.

cell biology↗

bioRxiv2019

Transcriptional analysis identifies novel biomarkers associated with successful ex-vivo perfusion of human donor lungs

Transplantation is an effective treatment for end-stage lung disease but donor organ shortage is a major problem. Ex-vivo lung perfusion (EVLP) of marginal organs enables functional assessment under normothermic conditions to facilitate clinical decision-making around utilisation, but the molecular processes occurring during EVLP, and how they differ between more or less viable lungs, remains to be determined. Here we used RNA sequencing to delineate changes in gene expression occurring in n=10 donor lungs undergoing EVLP, comparing lungs that were deemed transplantable (n=6) to those deemed unusable (n=4). We found that lungs deemed suitable for transplantation following EVLP had reduced induction of a number of innate immune pathways during EVLP, but a greater increase in genes involved in oxidative phosphorylation, a critical ATP-degenerating pathway. Furthermore, SCGB1A1, a gene encoding an anti-inflammatory secretoglobin CC10, and other club cell genes were significantly increased in transplantable lungs following perfusion, whilst CHIT-1 was decreased. Using a larger validation cohort (n=18), we confirmed that the ratio of CHIT1 and SCGB1A1 protein levels in lung perfusate have potential utility to distinguish transplantable and non-transplantable lungs (AUC 0.81). Together, our data identify novel biomarkers that may assist with pre-transplant lung assessment, as well as pathways that may amenable to therapeutic intervention during EVLP.\n\nSingle sentence summaryTranscriptional changes in lungs undergoing ex vivo normothermic perfusion identify chitinase1 and club cell genes as potential biomarkers to guide utilisation

physiology↗