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Whittle, J.

Publications and source records attributed to Whittle, J..

4 recordsLinked to original sources

Epigenetic silencing of transposable elements by IRF2BP2 is a selective dependency of myeloid leukemia

Acute myeloid leukemia (AML) is a heterogeneous malignancy with limited curative treatment options. Transposable elements (TEs) are now recognized as key regulators of genome function, with aberrant activation implicated in cancer. However, their tumor-type-specific roles remain poorly characterized. Using single-cell Perturb-seq, we systematically screened for chromatin-associated regulators in primary AML patient cells to uncover dependencies required for leukemia cell viability. Our screen identified IRF2BP2 as an AML-selective dependency, functioning as a repressor of TE expression. Loss of IRF2BP2 induced differentiation, apoptosis, and impaired leukemic cell fitness, phenotypes linked to transcriptional activation of TEs, particularly evolutionarily young human endogenous retrovirus K (HERV-K). Mechanistically, IRF2BP2 cooperates with TRIM28 and DNMT1 to epigenetically silence TE expression. CRISPR-mediated activation of HERV-K/LTR5_Hs recapitulated the phenotypic effects of IRF2BP2 loss, while targeted re-silencing of HERV-K/LTR5_Hs partially rescued the effects, establishing a causal link between TE regulation and AML maintenance. Our findings highlight tumor-suppressive functions of TEs in leukemia and reveal IRF2BP2 as a key regulator of TE silencing in AML. Targeting the epigenetic machinery governing TE repression may represent a promising therapeutic avenue for differentiation-inducing and immunomodulatory strategies in AML.

cancer biology↗

A new genetically engineered transplant model of glioma recapitulates key phenotypes of low- and high-grade gliomas

Immune competent animal models are essential in preclinical glioma research. The ability to investigate tumor development with key tumor microenvironment components such as immune infiltration, stromal cells and extracellular matrix allows for the investigation of these complex tumors. However, the current range of syngeneic models of glioma possess intrinsic limitations which must be acknowledged when designing a preclinical study. To address this gap, we developed genetically engineered mouse cell line models (GEM-CLeMs) by introducing common glioma driver mutations into immortalized astrocytes. A high-grade glioma model was generated by combining Pten knockdown with RAS V12 overexpression, while a low-grade glioma model was produced through p53 knockdown with mutant IDH1R132H overexpression. The RAS/Pten GEM-CLeM tumors grew rapidly in vivo, displayed necrosis, multinucleated pleomorphisms, abundant vascularization, and showed strong enrichment for extracellular matrix remodelling and mesenchymal genes, features closely aligned with human glioblastoma. Importantly, the RAS/Pten GEM-CLeM tumors showed similar survival trends and immune infiltration patterns as a corresponding KrasG12D/PtencKO GEMM, but could be grown to larger sizes, facilitating better stromal and immune analyses. In contrast, the IDH1R132H/p53 GEM-CLeM formed slow-growing tumors with distinctive immune infiltration and vascular patterns, consistent with low-grade glioma phenotypes. Compared with the commonly used cell line GL261, the GEM-CLeM tumors had higher levels of stromal integration and immune suppression, making them a more faithful model of the glioma tumor microenvironment. This system enables rapid generation of transplantable glioma models with defined driver mutations in a low-mutational background, offering a flexible platform for dissecting glioma biology and evaluating immunotherapies. Importance of the studyWe have generated a set of customizable, modular Genetically Engineered Mouse Cell Line Models (GEM-CLeMs) of "high grade" and "low grade" glioma. They reliably form tumors when transplanted intracranially into immune-competent C57BL/6 mice, and they are cost- and time-effective at capturing the important characteristics of glioma, both mutant IDH1 low grade glioma and high grade glioblastoma. Critically these characteristics include the myeloid-rich immune suppressive tumor immune microenvironment, a key weakness of existing murine glioma cell lines like GL261. These GEM-CLeM models can be used in multiple ways. The cells are amenable to further manipulation, so therapeutic targets and drug mechanism of action can be assessed. The activity of candidate genes in tumour formation and phenotype can be determined. Most importantly the models can be used to develop effective immunotherapies, including strategies to target macrophage and myeloid cell immune suppression. Key pointsO_LICombinations of driver mutations were engineered into an immortalised mouse astrocyte. C_LIO_LIEngineered cells formed tumours on intracranial transplant into immune competent mice. C_LIO_LITumors had key histological and immune suppressive features of human glioma. C_LI

cancer biology↗

Single-Cell Atlas of AML Reveals Age-Related Gene Regulatory Networks in t(8;21) AML

BackgroundAcute myeloid leukemia (AML) is characterized by cellular and genetic heterogeneity, which correlates with clinical course. Although single-cell RNA sequencing (scRNA-seq) reflects this diversity to some extent, the low sample numbers in individual studies limit the analytic potential when comparing specific patient groups. ResultsWe performed large scale integration of published scRNA-seq datasets to create a unique single-cell transcriptomic atlas for AML (AML scAtlas), totaling 748,679 cells, from 159 AML patients and 44 healthy donors from 20 different studies. This is the largest single-cell data resource for AML to our knowledge, publicly available at https://cellxgene.bmh.manchester.ac.uk/AML/. This AML scAtlas allowed investigations into 20 patients with t(8;21) AML, where we explored the clinical importance of age, given the in-utero origin of pediatric disease. We uncovered age-associated gene regulatory network (GRN) signatures, which we validated using bulk RNA sequencing data to delineate distinct groups with divergent biological characteristics. Furthermore, using an additional multiomic dataset (scRNA-seq and scATAC-seq), we validated our initial findings and created a de-noised enhancer-driven GRN reflecting the previously defined age-related signatures. ConclusionsApplying integrated data analysis of the AML scAtlas, we reveal age-dependent gene regulation in t(8;21) AML, potentially reflecting immature/fetal HSC origin in prenatal origin disease vs postnatal origin. Our analysis revealed that BCLAF1, which is particularly enriched in pediatric AML with t(8;21) of inferred in-utero origin, is a promising prognostic indicator. The AML scAtlas provides a powerful resource to investigate molecular mechanisms underlying different AML subtypes.

cancer biology↗

The level of HAND1 controls the specification of multipotent cardiac and extraembryonic progenitors

Diverse sets of progenitors contribute to the development of the embryonic heart, but the mechanisms of their specification have remained elusive. Here, using a human pluripotent stem cell (hPSC) model, we deciphered cardiac and non-cardiac lineage trajectories in differentiation and identified transcription factors underpinning cell specification, identity and function. We discovered a concentration-dependent, fate determining function in mesodermal progenitors for the basic helix-loop-helix transcription factor HAND1 and uncovered its gene regulatory network. At low level, HAND1 directs differentiation towards multipotent juxta-cardiac field progenitors able to make cardiomyocytes and epicardial cells, whereas at high level it promotes the development of extraembryonic mesoderm. Importantly, HAND1-low progenitors can be propagated in their multipotent state. This detailed mechanistic insight into human development will accelerate the delivery of effective disease modelling, including for congenital heart disease, and cell therapy-based regenerative medicine.

developmental biology↗