William J. Brackenbury

A 3D-printed OpenFlexure Microscope adapted for humid incubators, with relocated electronics, ASA printing and 22 Ω current-limiting resistors, records 48-hour label-free docetaxel responses that CellPhe can analyse.

This study identifies conventional dendritic cells type 1 (cDC1s) as critical for anti-tumor immunity in brain metastases, showing their unique role in promoting CD8+ T cell responses and enhancing immunotherapy efficacy.

This paper identifies methyl chloride as a breath biomarker for breast cancer linked to cellular metabolism, showing diagnostic accuracy comparable to mammograms.

The paper uses spatial profiling to analyze cellular marker changes in murine brain metastases, identifying upregulated immune markers and downregulated neuronal markers.

This study identifies artemether and EFL9 as inhibitors of kynurenine production through distinct mechanisms, offering potential new therapeutic approaches for targeting tryptophan metabolism.

This study modifies the membranolytic peptide MP1 with EGFR-binding and MMP-2 cleavage sequences to target cancer cells, showing reduced toxicity and tumor growth in vivo.

The paper identifies an ERα-dependent hypoxia response in ER+ breast cancer that influences gene expression and sensitivity to amiloride, linking hypoxia and ER signaling.

This study uses live-cell imaging and automated phenotyping to characterize cancer-stromal interactions, revealing phenotypic changes in breast cancer cells exposed to cancer-associated fibroblasts.

The paper identifies MP-1 peptide mutants with enhanced selectivity for cancer-like membranes and breast cancer cells, revealing structure-activity relationships through model membranes and cell assays.

This study identifies RPLP1 and RPL27 as robust reference genes for RT-qPCR analysis of gene expression in hypoxic breast cancer cell lines.

The paper characterizes Tet2-mutant HSCs using multi-omic data and identifies ECM molecules as regulators of self-renewal in pre-leukemic HSCs.

This study shows chloroform levels increase with age in human, rat, and Drosophila models, suggesting a link to aging and potential for neurodegenerative research.

The paper quantifies variability in manual and automated cell segmentation and tracking methods, showing their impact on phenotypic metrics and reproducibility.