Biology subjects

Baker, S. J.

Publications and source records attributed to Baker, S. J..

8 recordsLinked to original sources

bioRxiv2026

CD11c+ microglia promote dysfunctional T cell activation in diffuse midline glioma

Paediatric diffuse midline glioma (DMG) remains refractory to immunotherapy despite T-cell infiltration, indicating that local mechanisms actively suppress anti-tumour immunity. Using complementary genetic and orthotopic mouse models, we performed lineage-resolved profiling of the DMG immune microenvironment, resolving myeloid ontogeny and microglial states by distinguishing resident microglia from infiltrating bone marrow-derived macrophages. We identified microglia as the predominant tumour-associated myeloid population and discovered selective expansion of CD11c positive; microglia exhibiting enriched antigen-presentation and immune-regulatory transcriptional programs. Tumour-infiltrating CD4+; and CD8+; T cells exhibited chronic activation and exhaustion, while ligand receptor analysis predicted inhibitory microglia T cell communication. Pharmacological CSF1R inhibition depleted CD11c positive; microglia, attenuated antigen-presentation and immune-regulatory programs, and shifted tumour-infiltrating T cells toward a less exhausted phenotype. Together, these findings identify a previously unrecognised CD11 positive; microglia T-cell axis that establishes immune dysfunction in DMG and provide a rationale for combining myeloid- and T cell-targeted immunotherapies.

cell biology↗

bioRxiv2025

CD155 regulates tumor growth and immune evasion in diffuse midline glioma.

Diffuse midline glioma (DMG) is a devastating pediatric brain tumor with an unmet need for novel therapies. Immune checkpoint inhibitors have failed to prolong survival for DMG patients. In this study, we analyzed the expression of immune checkpoint molecules in human and murine DMG cells, as well as primary brain tumor samples, and identified CD155 as the most highly expressed. When murine DMG cells were co-cultured with CD8+ T cells, silencing of CD155 led to a marked increase in T cell-mediated killing. Strikingly, CD155-deficient DMG cells failed to grow in immunocompetent mice, and depletion of CD8+ T cells allowed these tumors to grow. CD155 also exerted cell-autonomous effects on tumor cells: silencing of CD155 led to induction of apoptosis of DMG cells and to delayed tumor growth in immunodeficient mice. Transcriptomic analyses identified FOXM1 as a key target of CD155. Notably, FOXM1 silencing also led to reduced proliferation of DMG cells in vitro and in vivo. Finally, treatment of DMG-bearing mice with Thiostrepton, a FOXM1-targeting agent, delayed tumor growth and prolonged survival. These studies demonstrate that CD155 regulates immune evasion and tumor growth in DMG, and suggest that targeting CD155 could be a valuable two-pronged therapeutic strategy for this disease. Conflict-of-interest statementThe authors have declared that no conflict of interest exists.

cancer biology↗

bioRxiv2025

A Drosophila model for Costello Syndrome caused by Ras mutation K117R

Germline mutations that increase signaling through the Ras pathway can cause developmental disorders called RASopathies. The RASopathy Costello syndrome has been described to present with hallmarks that include short stature, intellectual disability, cardiac issues, and characteristic facial abnormalities and has been associated with gain-of-function mutations in HRas. The most common HRas mutations in Costello Syndrome occur at G12 and G13, but there are also other rare mutation sites such as K117 including HRasK117R. RasK117R mutations are also found in colorectal cancer. Drosophila studies modeling gain-of-function in Ras primarily utilize the common cancer-associated mutation G12V, and previous Drosophila RASopathy models assessing Ras gain-of-function mutations have used human sequences for KRas G12D and HRas G12S. To augment these studies, we characterized the phenotype of engineering the rare gain-of-function mutation K117R in the Drosophila Ras sequence. We report here that constitutive low-level expression of RasK117R increased lethality and reduced body size while also causing rough eye and ectopic wing vein phenotypes in those flies that survived to adulthood. Ras pathway inhibitors Trametinib and Rigosertib suppressed the lethality but not the reduced size phenotypes. Trametinib strongly suppressed the K117R wing vein phenotype whereas Rigosertib had only subtle effects. Trametinib is a direct MEK inhibitor. Rigosertib has been reported to have strong effects on PI3K signaling and to indirectly inhibit the Raf-ERK branch. Therefore, this data is consistent with an interpretation that some lethality in the fly RasK117R model depends on elevated signaling through the Raf-ERK branch and potentially some lethality depends on the PI3K branch. In contrast, the lack of effects on the reduced size phenotypes would be consistent with small stature resulting from Raf- and PI3K-independent processes. We propose that this model can be useful for future mechanistic analysis and pharmacological screening and evaluation.

developmental biology↗

bioRxiv2020

Patient-Derived Orthotopic Xenografts and Cell Lines from Pediatric High-Grade Glioma Recapitulate the Heterogeneity of Histopathology, Molecular Signatures, and Drug Response

Pediatric high-grade glioma (pHGG) is a major contributor to cancer-related death in children. In vitro and in vivo disease models reflecting the intimate connection between developmental context and pathogenesis of pHGG are essential to advance understanding and identify therapeutic vulnerabilities. We established 21 patient-derived pHGG orthotopic xenograft (PDOX) models and eight matched cell lines from diverse groups of pHGG. These models recapitulated histopathology, DNA methylation signatures, mutations and gene expression patterns of the patient tumors from which they were derived, and included rare subgroups not well-represented by existing models. We deployed 16 new and existing cell lines for high-throughput screening (HTS). In vitro HTS results predicted variable in vivo response to inhibitors of PI3K/mTOR and MEK signaling pathways. These unique new models and an online interactive data portal to enable exploration of associated detailed molecular characterization and HTS chemical sensitivity data provide a rich resource for pediatric brain tumor research.

cancer biology↗

bioRxiv2020

HARVESTMAN: A framework for hierarchical featurelearning and selection from whole genome sequencingdata

We present HO_SCPLOWARVESTMANC_SCPLOW, a method that takes advantage of hierarchical relationships among the possible biological interpretations and representations of genomic variants to perform automatic feature learning, feature selection, and model building. We demonstrate that HO_SCPLOWARVESTMANC_SCPLOW scales to thousands of genomes comprising more than 84 million variants by processing phase 3 data from the 1000 Genomes Project, the largest publicly available collection of whole genome sequences. Next, using breast cancer data from The Cancer Genome Atlas, we show that HO_SCPLOWARVESTMANC_SCPLOW selects a rich combination of representations that are adapted to the learning task, and performs better than a binary representation of SNPs alone. Finally, we compare HO_SCPLOWARVESTMANC_SCPLOW to existing feature selection methods and demonstrate that our method selects smaller and less redundant feature subsets, while maintaining accuracy of the resulting classifier. The data used is available through either the 1000 Genomes Project or The Cancer Genome Atlas. Access to TCGA data requires the completion of a Data Access Request through the Database of Genotypes and Phenotypes (dbGaP). Binary releases of HO_SCPLOWARVESTMANC_SCPLOW compatible with Linux, Windows, and Mac are available for download at https://github.com/cmlh-gp/Harvestman-public/releases

bioinformatics↗

bioRxiv2019

Mechanism of action of rigosertib does not involve tubulin binding

Rigosertib is a novel benzyl styryl sulfone that inhibits the growth of a wide variety of human tumor cells in vitro and in vivo and is currently in Phase III clinical trials. We recently provided structural and biochemical evidence to show that rigosertib acts as a RAS-mimetic by binding to Ras Binding Domains (RBDs) of the RAF and PI3K family proteins and disrupts their binding to RAS. In a recent study, Jost et al (2017) attributed the mechanism of action of rigosertib to microtubule-binding. In these studies, rigosertib was obtained from a commercial vendor. We have been unable to replicate the reported results with clinical grade rigosertib, and hence compared the purity of clinical grade and commercially sourced rigosertib. We find that the commercially sourced rigosertib contains approximately 5% ON01500, a potent inhibitor of tubulin polymerization. Clinical grade rigosertib, which is free of this impurity, does not exhibit tubulin binding activity. In vivo, cell lines that express mutant {beta}-tubulin (TUBBL240F) were also reported to be resistant to the effects of rigosertib. However, our studies showed that both wild-type and TUBBL240F-expressing cells failed to proliferate in the presence of rigosertib at concentrations that are lethal to wild-type cells. Morphologically, we find that rigosertib, at lethal concentrations, induced a senescence-like phenotype in the small percentage of both wild-type and TUBBL240F-expressing cells that survive in the presence of rigosertib. Our results suggest that TUBBL240F expressing cells are more prone to undergo senescence in the presence of rigosertib as well as BI2536, an unrelated ATP-competitive pan-PLK inhibitor. The appearance of these senescent cells could be incorrectly scored as resistant cells in flow cytometric assays using short term cultures.

cancer biology↗

bioRxiv2019

Comprehensive molecular characterization of pediatric treatment-induced high-grade glioma: A distinct entity despite disparate etiologies with defining molecular characteristics and potential therapeutic targets

Treatment-induced high-grade gliomas (TIHGGs) are an incurable late complication of cranial radiation therapy or combined radiation/chemotherapy used to treat pediatric cancer. We assembled a cohort of 33 TIHGGs from multiple institutions. The primary antecedent malignancies were medulloblastoma, acute lymphoblastic leukemia, astrocytoma, and ependymoma. We performed methylation profiling, RNA-seq, and genomic sequencing (whole-genome or whole-exome) on TIHGG samples. Methylation profiling revealed that TIHGGs cluster primarily with the pediatric receptor tyrosine kinase I subtype (26/31 samples). Common TIHGG copy-number alterations include Chromosome (Ch.) 1p loss/1q gain, Ch. 4 loss, Ch. 6q loss, and Ch. 13 and Ch. 14 loss; focal alterations include PDGFRA and CDK4 gain and loss of CDKN2A and BCOR. Relative to de novo pediatric high-grade glioma (pHGG), BCOR loss (p=0.004) and CDKN2A loss (p=0.005) were significantly increased. Transcriptomic analysis identified two distinct TIHGG subgroups, one with a lesser mutation burden (0.12 mut/Mb), Ch. 1p loss/1q gain (5/6 samples), and stem cell characteristics, and one with a greater mutation burden (1.08 mut/Mb, p<0.0002), depletion of DNA repair pathways, and inflammatory characteristics. We observed increased chromothripsis in TIHGG versus pHGG (67% vs. 31%, p=0.036), which was associated with extrachromosomal circular DNA-mediated amplification of PDGFRA and CDK4. In vitro drug screening in one primary, patient-derived TIHGG cell line from each expression subgroup identified microtubule inhibitors/stabilizers, DNA-damaging agents, MEK inhibition, and, in the inflammatory subgroup, proteasome inhibitors as potentially effective therapies. This study provides a comprehensive molecular profile of TIHGG, including mechanistic insights to TIHGG oncogenesis, and identifies potentially effective therapeutic modalities for further investigation.

cancer biology↗

bioRxiv2019

A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumors

Single cell genomics is essential to chart the complex tumor ecosystem. While single cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumor tissues, single nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each strategy requires modifications to fit the unique characteristics of different tissue and tumor types, posing a barrier to adoption. Here, we developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We tested eight tumor types of varying tissue and sample characteristics (resection, biopsy, ascites, and orthotopic patient-derived xenograft): lung cancer, metastatic breast cancer, ovarian cancer, melanoma, neuroblastoma, pediatric sarcoma, glioblastoma, pediatric high-grade glioma, and chronic lymphocytic leukemia. Analyzing 212,498 cells and nuclei from 39 clinical samples, we evaluated protocols by cell quality, recovery rate, and cellular composition. We optimized protocols for fresh tissue dissociation for different tumor types using a decision tree to account for the technical and biological variation between clinical samples. We established methods for nucleus isolation from OCT embedded and fresh-frozen tissues, with an optimization matrix varying mechanical force, buffer, and detergent. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types and intrinsic expression profiles, but at different proportions. Our work provides direct guidance across a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.

genomics↗