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Butterworth, C.

Publications and source records attributed to Butterworth, C..

4 recordsLinked to original sources

KDM5-driven transcriptional noise fuels plasticity-led awakening and relapse in paediatric cancer

How drug-tolerant persister (DTP) cells escape quiescence to drive tumour relapse is a central unresolved question in cancer evolution. Here, we identify transcriptional noise (TN), defined as the stochastic variability in gene expression, as a latent property of paediatric cancer cells that becomes a driver of adaptive regrowth after treatment withdrawal. Using functional assays, lineage tracing, single-cell transcriptomics, and multiscale landscape modelling, we show that therapy enriches mesenchymal-like tolerant states in neuroblastoma without clonal selection, while post-treatment awakening is a stochastic process fuelled by noise-enabled plasticity in cell-identity programmes. The histone demethylase KDM5A relocates to noisy cell-state genes during awakening, promoting H3K4me3 removal and chromatin remodelling at these loci. KDM5 inhibition abrogates this process, and suppresses transcriptional noise, halts DTP exit, and prevents tumour recovery in both neuroblastoma and hepatoblastoma models. These results establish DTP as an exploitable evolutionary bottleneck, positioning KDM5-mediated transcriptional noise as an actionable therapeutic target to limit cancer adaptation and relapse GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/682004v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@edba70org.highwire.dtl.DTLVardef@16b1bd9org.highwire.dtl.DTLVardef@f153acorg.highwire.dtl.DTLVardef@1ac5a4e_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Low-Cost 3D Printed Optics for Super-Resolution Multifocal Structured Illumination Microscopy

We present a low-cost 3D printing method of fabricating optical quality lenslet arrays for integration in a multifocal structured illumination microscope (mSIM), achieving fluorescence imaging below the optical diffraction limit. We detail the design and manufacturing processes to produce high-quality 3D printed optics, showing their comparable surface roughness of 30 {+/-} 2.5 nm for the 3D printed elements compared to 37 {+/-} 1.4 nm for commercial glass optics. A 3D printed lenslet array with a honeycomb geometry and 1.2 mm lenslet diameter was compared to a high-end glass commercial lenslet array with 250 {micro}m lenslet diameter and a lower cost commercial lenslet array with a 1.2 mm by 1.6 mm lenslet footprint. The imaging performance of the different optics was benchmarked using a custom mSIM setup by quantifying the beam profile homogeneity and the experimental lateral resolution. The mSIM setup incorporating the different microlens arrays was tested using a commercial bovine pulmonary artery endothelial cell specimen, highlighting an achievable resolution enhancement from 229 nm {+/-} 11 nm with widefield illumination to 137 {+/-} 11 nm using the high-end commercial microlens array and 134 nm {+/-} 9 nm using the 3D printed honeycomb lenslet array. Advantages of improved background rejection through the custom lenslet geometry are discussed, highlighting the super-resolution microscope performance achievable through custom low-cost 3D printed optics.

biophysics↗

A large 3D-printed integrated lens-biprism element enhances contrast in transmission stereomicroscopy

Stereomicroscopes are routinely used across disciplines for material and surface characterisation due to their simplicity of use and minimal specimen preparation requirements. However, the stereomicroscope transillumination design is suboptimal, as a single incident beam at the specimen plane is shared and transmitted via two laterally offset detection axes. This flaw limits life science applications due to the transparent nature of samples which results in poor contrast images. We use a single additional element in the illumination path to correct the illumination uniformity across the field of view and, by doing so, enhance image contrast and facilitate detection of refractive structures in transparent biological specimens. We designed and fabricated an integrated lens-biprism element using low-cost, consumer-grade 3D printing methods and consumables. This 3D printed lens-biprism distributed diverging rays from a single incandescent light source into two parallel beams that converged at the specimen plane and transmitted through the respective left and right detection axes of a stereomicroscope. This improved transillumination setup increased the image contrast by up to 67.62% compared to the conventional stereomicroscope setup. We demonstrated the benefit of the lens-biprism element by visualising dynamic cellular events in live tissue and discerning refractive structures more easily in transparent specimens.

biophysics↗

Extracellular matrix educates a tumor macrophage phenotype found in ovarian cancer metastasis

Recent studies have shown the tumor extracellular matrix (ECM) associates with immunosuppression, and that targeting the ECM can improve immune infiltration and immunotherapy response. A question that remains is whether the ECM is directly educating the immune phenotypes seen in cancer. We identified a tumor-associated macrophage (TAM) population correlated with poor prognosis, interruption of the cancer immunity cycle, and tumor ECM composition. To investigate whether ECM was capable of generating the TAM phenotype seen, we developed a decellularized tissue model that retains the native ECM architecture and composition. Macrophages cultured on decellularized ovarian metastasis shared transcriptional profiles with the TAMs found in human tissues. ECM educated macrophages have a tissue remodeling and immunoregulatory phenotype, inducing altered T cell function. We conclude that the tumor ECM is directly educating this macrophage population found in cancer tissues. Therefore, current and emerging cancer therapies that target the tumor ECM may be tailored to improve macrophage phenotype and their downstream regulation of immunity.

cancer biology↗