Biology subjects

Khan, A. O.

Publications and source records attributed to Khan, A. O..

8 recordsLinked to original sources

bioRxiv2026

CAR T cell therapy selectively depletes disease-driving mutant calreticulin cells in xenotransplants and human organoid models of myelofibrosis

Targeted immunotherapies have revolutionized outcomes for lymphoid malignancies, but success in myeloid neoplasms is limited by the lack of amenable targets and immunologically hostile tumor microenvironment (TME). Myeloproliferative neoplasms are chronic myeloid blood cancers, a third of which are driven by mutations in calreticulin (mutCALR). This yields a common neoepitope that binds to, and activates, the thrombopoietin receptor and results in display of the oncoprotein on the extracellular membrane of disease-driving cells, exposing a therapeutic vulnerability. Here, we present a first-in-class chimeric antigen receptor (CAR) T-cell therapy that specifically targets mutCALR+ cells, both in vitro and in vivo. The CAR T-cell therapy selectively depleted mutCALR+ stem cells from patients with myelofibrosis while sparing healthy stem cells, and improved survival in mutCALR leukemia xenografts. To mimic myelofibrotic marrow, we developed a bespoke human chimeroid model and showed no decrease in the potency of CAR T cell-mediated target cell killing even in a fibrotic tumor microenvironment. We also devised a method to boost cell surface expression of mutCALR in CD34+ cells isolated from patients with accelerated/blast phase MPN (defined as >10 % blasts in peripheral blood or bone marrow), enhancing CAR T targeting. This study presents a therapeutic with potential to eradicate mutCALR-driven malignancies and highlights an innovative strategy to evaluate blood cancer-targeting immunotherapies in a relevant TME. One Sentence SummaryA first-in-class CAR T-cell therapy targeting mutant calreticulin selectively depletes malignant stem cells in vivo and in fibrotic human organoids.

cancer biology↗

bioRxiv2025

comBO: A combined human bone and lympho-myeloid bone marrow organoid for pre-clinical modelling of haematopoietic disorders

The bone marrow supports lifelong blood and immune cell production. Current human bone marrow organoid models do not include both lymphoid and myeloid elements and lack the complexity of stromal cell types present in native haematopoietic tissues, precluding the accurate ex vivo modelling of human pathologies. Here we introduce "comBOs" (combined bone and lympho-myeloid bone marrow organoids) that include osteolineage, vascular, lymphoid and myeloid cells. comBOs are generated by the differentiation of induced pluripotent stem cells guided by physiologically-relevant oxygen and cytokine exposures within an innovative granular microgel scaffold to increase scalability and reproducibility. We demonstrate that comBOs can be used to generate "chimeroids" - incorporating healthy or aberrant cells from adult donors - and recapitulate features of diseased microenvironments. ComBOs are one of the most physiologically-relevant human organoid systems to date, and this study showcases the potential of 3D in vitro disease models for discovery science and translational studies.

cancer biology↗

bioRxiv2023

Efficient megakaryopoiesis and platelet production require phospholipid remodeling and PUFA uptake through CD36

Lipids contribute to hematopoiesis and membrane properties and dynamics, however, little is known about the role of lipids in megakaryopoiesis. Here, a lipidomic analysis of megakaryocyte progenitors, megakaryocytes, and platelets revealed a unique lipidome progressively enriched in polyunsaturated fatty acid (PUFA)-containing phospholipids. In vitro, inhibition of both exogenous fatty acid functionalization and uptake and de novo lipogenesis impaired megakaryocyte differentiation and proplatelet production. In vivo, mice on a high saturated fatty acid diet had significantly lower platelet counts, which was prevented by eating a PUFA-enriched diet. Fatty acid uptake was largely dependent on CD36, and its deletion in mice resulted in thrombocytopenia. Moreover, patients with a CD36 loss-of-function mutation exhibited thrombocytopenia and increased bleeding. Our results suggest that fatty acid uptake and regulation is essential for megakaryocyte maturation and platelet production, and that changes in dietary fatty acids may be a novel and viable target to modulate platelet counts.

cell biology↗

bioRxiv2022

Human bone marrow organoids for disease modelling, discovery and validation of therapeutic targets in hematological malignancies

A lack of models that recapitulate the complexity of human bone marrow has hampered mechanistic studies of normal and malignant hematopoiesis and the validation of novel therapies. Here, we describe a step-wise, directed-differentiation protocol in which organoids are generated from iPSCs committed to mesenchymal, endothelial and hematopoietic lineages. These 3-dimensional structures capture key features of human bone marrow - stroma, lumen-forming sinusoidal vessels and myeloid cells including pro-platelet forming megakaryocytes. The organoids supported the engraftment and survival of cells from patients with blood malignancies, including cancer types notoriously difficult to maintain ex vivo. Fibrosis of the organoid occurred following TGF{beta} stimulation and engraftment with myelofibrosis but not healthy donor-derived cells, validating this platform as a powerful tool for studies of malignant cells and their interactions within a human bone marrow-like milieu. This enabling technology is likely to accelerate discovery and prioritization of novel targets for bone marrow disorders and blood cancers. Significance StatementWe present a 3D, vascularised human bone marrow organoid that supports growth of primary cells from patients with myeloid and lymphoid blood cancers. This model allows for mechanistic studies of blood cancers in the context of their microenvironment, and provides a much-needed, ex vivo tool for prioritization of new therapeutics.

cancer biology↗

bioRxiv2020

An adaptable analysis workflow for characterization of platelet spreading and morphology

The assessment of platelet spreading through light microscopy, and the subsequent quantification of parameters such as surface area and circularity, is a key assay for many platelet biologists. Here we present an analysis workflow which robustly segments individual platelets to facilitate the analysis of large numbers of cells while minimising user bias. Image segmentation is performed by interactive learning and touching platelets are separated with an efficient semi-automated protocol. We also use machine learning methods to robustly automate the classification of platelets into different subtypes. These adaptable and reproducible workflows are made freely available and are implemented using the open source software KNIME and ilastik.

bioinformatics↗

bioRxiv2019

Post-translational polymodification of the C-terminal tail of TUBB1 regulates motor protein processivity in platelet production and function

In specialised cells, the expression of specific tubulin isoforms and their subsequent post-translational modifications drive and coordinate unique morphologies and behaviours. The mechanisms by which {beta}1 tubulin, the platelet and megakaryocyte (MK) lineage restricted tubulin isoform, drives platelet production and function remains poorly understood. We investigated the roles of two key post-translational polymodifications (polyglutamylation and polyglycylation) on these processes using a cohort of thrombocytopenic patients, human induced pluripotent stem cell (iPSC) derived MKs, and healthy human donor platelets. We find distinct patterns of polymodification in MKs and platelets, mediated by the antagonistic activities of the cell specific expression of Tubulin Tyrosine Ligase Like (TTLLs) and Cytosolic Carboxypeptidae (CCP) enzymes. The resulting microtubule patterning spatially regulates motor proteins to drive proplatelet formation in megakaryocytes, and the cytoskeletal reorganisation required for thrombus formation. This work is the first to show a reversible system of polymodification by which different cell specific functions are achieved. Key PointsO_LIThe platelet specific {beta}1 tubulin (encoded by TUBB1) is polymodified (polyglutamylated and polyglycylated) in platelet producing iPSC-derived megakaryocytes (MKs), this patterning spatially regulates motor proteins, and its disruption in TUBB1 patient variants results in a loss of platelet production. C_LIO_LIA system of reversible polymodifications mediated through the graded expression of modifying enzymes (TTLLs and CCPs) throughout MK maturation is required for proplatelet formation and subsequent platelet function. C_LI

cell biology↗

bioRxiv2018

Optimised CRISPR-Cas9 mediated single molecule imaging for accurate quantification through endogenous expression.

The use of CRISPR-Cas9 genome editing to introduce endogenously expressed tags has the potential to address a number of the classical limitations of single molecule localisation microscopy. In this work we present the first systematic comparison of inserts introduced through CRISPR- knock in, with the aim of optimising this approach for single molecule imaging. We show that more highly monomeric and codon optimised variants of mEos result in improved expression at the TubA1B locus, despite the use of identical guides, homology templates, and selection strategies. We apply this approach to target the G protein-coupled receptor (GPCR) CXCR4 and show a further insert dependent effect on expression and protein function. Finally, we show that compared to over-expressed CXCR4, endogenously labelled samples allow for accurate single molecule quantification on ligand treatment. This suggests that despite the complications evident in CRISPR mediated labelling, the development of CRISPR-PALM has substantial quantitative benefits.

cell biology↗

bioRxiv2018

Topological data analysis quantifies biological nano-structure from single molecule localization microscopy

The study of complex molecular organisation and nano-structure by localization based microscopy is limited by the available analysis tools. We present a segmentation protocol which, through the application of persistence based clustering, is capable of probing densely packed structures which vary in scale. An increase in segmentation performance over state-of-the-art methods is demonstrated. Moreover we employ persistent homology to move beyond clustering, and quantify the topological structure within data. This provides new information about the preserved shapes formed by molecular architecture. Our methods are flexible and we demonstrate this by applying them to receptor clustering in platelets, nuclear pore components and endocytic proteins. Both 2D and 3D implementations are provided within RSMLM, an R package for pointillist based analysis and batch processing of localization microscopy data.

bioinformatics↗