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Koster, J.

Publications and source records attributed to Koster, J..

At least 19 recordsLinked to original sources

Sensitivity profiling reveals consistent drug responses across preclinical neuroblastoma models

Despite intensive treatment, overall survival for high-risk and relapse neuroblastoma patients remains below 50%. Even though comprehensive molecular profiling enables treatment stratification, druggable alterations have been identified for only a subset of patients. In vitro drug screening offers a complementary approach. Here, we compare the translational potential of three preclinical drug screening methods: ex vivo short-term, in vitro patient-derived organoid and in vivo patient-derived xenograft (PDX) drug testing. In total, 55 screens were performed from 38 neuroblastoma samples and five pediatric non-malignant samples, testing 77-224 drugs per screen. Ex vivo short-term drug screens achieved higher success rates than organoid screens (65% versus 23%) and shorter turnaround times (14 days versus 3-12 months). Matched samples showed consistent drug sensitivities across sample origin (patient versus PDX-derived; mean r = 0.84) and method (ex vivo short-term versus organoids; mean r = 0.87), demonstrating that ex vivo short-term screens recapitulate drug sensitivities found in long-term organoid models. In parallel, as part of the ITCC-P4 consortium, ten compounds were tested in vivo in eight PDX models, with samples matching the ex vivo screens. For seven out of ten clinically available compounds, ex vivo drug responses were comparable with in vivo responses in matched PDX models. These results demonstrate that, while organoids and PDX models remain essential for drug discovery, ex vivo short-term drug screening provides a rapid alternative for functional precision oncology in neuroblastoma.

cell biology↗

Apc truncation enforces optimal Wnt signalling during early intestinal tumourigenesis

Colorectal cancer (CRC) development is frequently initiated by inactivation of tumour suppressor gene adenomatous polyposis coli (APC), resulting in hyperactivation of the Wnt/ {beta}-catenin signalling pathway. The level of Wnt pathway activation is determined by the number of functional {beta}-catenin binding site repeats retained within the truncated APC protein. Accumulating evidence indicates that acquisition of the second APC mutational event is non-random and selects for mutations that confer a just right level of Wnt activity, suggesting that tumour initiation requires Wnt signalling to be maintained within a specific range. In this study, we investigated how specific Apc mutations modulate Wnt pathway activity and downstream cellular programs. Using CRISPR/Cas9 technology, we generated mouse intestinal organoid cultures harbouring distinct alterations in the number of {beta}-catenin binding repeats. We demonstrate a direct correlation between the number of retained repeats and Wnt signalling activity. Notably, organoids retaining higher numbers of functional repeats were subjected to selective pressure, resulting in the acquisition of additional mutations that lead to increased Wnt activity, consistent with the just right model. Transcriptomic analysis by RNA sequencing revealed that clones with distinct {beta}-catenin binding capacity exhibit differential transcriptional programs, including graded changes in cell cycle activity and a metabolic shift associated with progressive loss of {beta}-catenin binding repeats. Together, these findings reveal functional and metabolic heterogeneity among Apc- mutant cells, support the existence of selective pressures for optimal Wnt signalling during tumor initiation, and identify potential metabolic vulnerabilities that may be exploited for therapeutic intervention including interception of premalignant lesions.

cancer biology↗

A Human Next Generation PBK Model for PFOA

The human toxicological risk assessment of per- and polyfluoroalkyl substances (PFAS) is challenging, due to their sheer number and structural diversity, but also the paucity of the toxicity data required to characterize them. The development of Next Generation Physiologically Based Kinetic (NG-PBK) models may assist in overcoming this challenge. The mechanistic nature of NG-PBK models allows for their extrapolation from data-rich PFAS, such as perfluorooctanoic acid (PFOA), to data-poor ones, facilitating their application in Next Generation Risk Assessment (NGRA). The present study proposes a NG-PBK model for PFOA in humans, parametrized exclusively using in vitro-, and in silico-derived data. The model describes the toxicokinetic processes of 1) partitioning to plasma and tissue proteins, 2) partitioning to cell membrane lipids, 3a) transporter-mediated entero-hepatic circulation and 3b) renal elimination and reabsorption, and 4) elimination via menstruation. Global sensitivity analysis indicated that the model was most sensitive to the fraction unbound in plasma, active-transport parameters, and tissue-plasma partition coefficients. The model was equivalent to already available validated human PFOA-PBK models, while compared to those, it is not calibrated to observed animal, nor human data, illustrating its strength in being mechanistic. The serum concentrations and half-lives predicted by the NG-PBK model were within the ranges of those reported in human volunteer and biomonitoring (HBM) studies, demonstrating the models capacity to accurately predict PFOA toxicokinetics on exposure estimates. Extrapolation of the NG-PBK model to other PFAS, in conjunction with its integration with HBM data, will facilitate the NGRA of PFAS. This is particularly relevant given the paucity of in vivo data for most PFAS, ensuring compliance with the 3R principles.

pharmacology and toxicology↗

Extrahepatic effects of thyroid hormone and resmetirom override their beneficial hepatic effects in alcohol-associated liver disease in mice

BackgroundAlcohol-associated liver disease (ALD) is a common type of liver disease worldwide. Excessive consumption of ethanol (EtOH) causes fat accumulation leading to hepatic steatosis. Hepatic thyroid hormone (TH) action or liver-specific thyromimetics, e.g. resmetirom, can reduce hepatic triglycerides. We therefore hypothesized that TH treatment could ameliorate ALD. MethodsTo induce ALD, mice were treated with either EtOH or liquid control diet for 10 days followed by a single EtOH or maltose control gavage on day 11. The liquid diets were supplemented with solvent, T3 or Resmetirom. We studied WT and hepatocyte-specific TR{beta} KO mice (hepTR{beta}KO). Effects were measured by clinical chemistry, liver staining, hepatic triglyceride content, and RNA-sequencing. ResultsSurprisingly, resmetirom had no beneficial effect and T3 treatment even aggravated EtOH-induced steatosis (increased liver weight and hepatic triglycerides). The liver phenotype was worsened in hepTR{beta}KO mice, which still suggested beneficial effects of hepatic TR{beta} signaling in WT mice. These seemingly paradoxical results could be explained by extrahepatic effects in WAT: WAT weight and adipocyte size were reduced by EtOH, T3 and resmetirom. These data indicate lipolysis and subsequent fatty acid accumulation in the liver, explaining the more severe ALD phenotype with T3 and attenuated effect of resmetirom. As WAT loss was reduced in hepTR{beta}KO mice, the hepatic TR{beta} mediated the extrahepatic effects of T3 and resmetirom on WAT. ConclusionWe conclude that extrahepatic TH effects in WAT were detrimental in ALD and counteracted beneficial local hepatic TH/TR{beta} action. As WAT loss appeared to originate from the hepatic TR{beta}, this also applied to resmetirom.

pathology↗

Fragment-Guided New Therapeutic Molecule Discovery and Mapping of Clinically Relevant Interactomes

Therapeutic interventions for complex diseases depend on the targeted modulation of key pathological pathways. While growing clinical needs continue to drive advancements in the drug discovery space, current strategies primarily rely on searching large volumes of chemical data without addressing the specific contributions of molecular features. Moreover, both clinicians and researchers recognize the need for improved drug discovery methods and characterization that could aid in clinical strategy selection. To address these challenges, we propose a new perspective on targeted therapy development as well as interactome mapping, utilizing molecular fragments. The present study focuses on therapeutic areas that represent emerging targets, namely JAK2 and GLP-1R, both of which have broad clinical potential. We developed a new self-adjusting neural network that enabled us to discover novel therapeutic candidates with improved in silico binding profiles, gain additional insights into drug-target binding that were not previously reported, and identify new metabolic trajectories. Importantly, our work revealed that even a small compound library can effectively generate lead candidates, expediting the search and exploration process. In addition, the fragment-guided bridging of chemical and biological spaces has revealed new opportunities for drug repurposing efforts and a means of improving the prediction of side effects. We concluded our study with insights into the recent high-profile clinical trial failure of danuglipron and how this could have been prevented with our methodology. Thus, building a robust in silico pipeline with integrated screening data can significantly reduce costs and guide therapy adoption. Furthermore, our proposed strategy highlights promising avenues for the discovery of new therapeutics and the development of clinical interventions. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=90 SRC="FIGDIR/small/663848v3_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@1db97a4org.highwire.dtl.DTLVardef@1c0a159org.highwire.dtl.DTLVardef@1a10711org.highwire.dtl.DTLVardef@d7016a_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

The immune landscape of pediatric Brain and Solid Tumors: A systematic review and integration of immunohistochemistry and single-cell RNA sequencing data

BackgroundImmunotherapies achieved remarkable success in adult cancers, yet their efficacy in pediatric brain and solid tumors remains limited. Insights into the unique immune landscape of pediatric tumors are crucial to improve immunotherapies for pediatric patients. MethodsWe performed a systematic search for studies reporting immunohistochemistry (IHC), single-cell- or single-nucleus RNA-sequencing (sc/snSeq) data on the immune landscape of pediatric tumors. For IHC studies, data on macrophages, T cells, T helper cells, regulatory T cells, NK cells and B cells were extracted. For sc/snSeq studies, cell cluster counts were extracted. 47 IHC studies and 26 sc/snSeq studies were included in the analysis. ResultsOur integrative in-depth analysis of 73 studies covered 35 unique pediatric tumor types with 17 tumor types analyzed by IHC, 4 by sc/snSeq, and 14 by both techniques. Regardless of variability in analysis methods, both IHC and sc/snSeq showed that peripheral nerve tumors and soft tissue sarcomas had relatively immune-infiltrated, T cell-rich tumor microenvironments (TME). Brain tumors exhibited a macrophage/microglia-rich, NK cell- infiltrated and T cell-depleted TME. Sc/snSeq data confirmed these observations, showing a macrophage/microglia-rich brain TME. Compared to adult tumors, (CD8+) T cell infiltration and macrophage infiltration was low for all pediatric tumor types. Integrated IHC and sc/snSeq data were visualized in interactive heatmaps, publicly available on R2 as a comprehensive atlas [https://hgserver1.amc.nl/cgi-bin/r2/main.cgi?option=imi2_targetmap_v1; map Immune_landscape_mm2(by patient)_v4]. ConclusionWe provide a comprehensive, integrated overview of the immune landscape of pediatric brain and solid tumors. These insights can aid the development and selection of immunotherapeutic strategies for specific pediatric cancers, tailored to their unique immune characteristics.

immunology↗

ALK Inhibition Prolongs Survival in a Mouse Model of ALK-positive Anaplastic Thyroid Cancer

BackgroundAnaplastic thyroid cancer (ATC) is the most aggressive thyroid cancer with a median survival of about 6 months. So far, no therapies offering a survival benefit are established. Thus, new therapeutic approaches are urgently needed. In general, genetic alterations leading to ATC increase PI3K and MAPK/ERK signalling and include mutations in receptor tyrosine kinases and tumour suppressor genes. They often occur together with the loss of P53, the most prevalent mutation in human ATC. Among such mutations are mutations and rearrangements of the anaplastic lymphoma kinase (ALK) gene. MethodsTo study ATC and potential treatment options, we generated a mouse model with inducible thyrocyte-specific expression of constitutively active mutant ALKF1174L and homozygous deletion of Trp53 due to a Cre recombinase under control of the thyroglobulin promoter (Tg-CreERT2+/0;LSL-ALKF1174L/+;Trp53LoxP/LoxP mice, here referred to as Trp53KO/ALKF1174L mice). Moreover, we established several primary thyroid cancer cell lines harbouring ALKF1174L and Trp53KO and investigated the effects of ALK inhibition in vitro and in vivo. ResultsMedian survival of Trp53KO/ALKF1174L mice was severely reduced and the mice showed massively enlarged thyroids. Histopathology confirmed development of locally invasive and metastatic ATC. Treatment of primary Trp53KO/ALKF1174L ATC cells with the ALK inhibitor TAE-684 decreased AKT and ERK phosphorylation and induced a dose-dependent cytotoxicity. Trp53KO/ALKF1174L mice treated with TAE-684 showed significantly extended median survival compared to the solvent group (66 days vs. 18 days, p < 0.0001). ConclusionOur data demonstrate that the combination of ALKF1174L mutation with Trp53 loss leads to the development of ATC. This study provides first functional data supporting the use of ALK inhibitors in patients with ALK-driven ATC. Our novel ATC mouse model and the derived cell lines offer valuable tools to explore the molecular characteristics of ATC, especially signalling pathway activation and tumour microenvironment, and to test novel therapeutics for the treatment of advanced thyroid cancers.

cancer biology↗

A trimeric USP11/USP7/TCEAL1 complex stabilizes RNAPII during early transcription to sustain oncogenic gene expression

During early transcription, RNA polymerase II (RNAPII) undergoes a series of structural transitions controlled by cyclin-dependent kinases. Whether protein ubiquitylation and proteasomal degradation affect the fate of RNAPII close to promoters is less well understood. Here we show that the deubiquitylating enzyme USP11 and its heterodimeric partner USP7 form a trimeric complex with TCEAL1, a member of the poorly understood TCEAL (TCEA/TFIIS-like) protein family. TCEAL1 shares sequence homology with the RNAPII interaction domain of the TCEA/TFIIS elongation factor, which controls the fate of backtracked RNAPII. TCEAL1 stabilizes complexes of USP11 with USP7 and with RNAPII. TCEAL1 is recruited to core promoters when transcription elongation is blocked and globally enhances the chromatin association of RNAPII during early transcription. Mechanistically, the USP11/USP7/TCEAL1 complex competes with TFIIS for binding to core promoters and protects RPB8, an essential subunit of RNAPII, from degradation, likely preventing excessive TFIIS-mediated transcript cleavage and RNAPII disassembly. In neuroblastoma and other tumors, TCEAL1-dependent genes define a TGF beta-dependent gene expression program that is characteristic for mesenchymal and invasive tumor cell types, suggesting that the USP11/USP7/TCEAL1 trimer stabilizes RNAPII during early transcription to support a critical oncogenic gene expression program (190 words).

cancer biology↗

Gemcitabine therapeutically disrupts essential SIRT1-mediated p53 repression in Atypical Teratoid/Rhabdoid Tumors

BackgroundAtypical Teratoid/Rhabdoid Tumors (ATRT) are highly malignant embryonal tumors of the central nervous system with a dismal prognosis. Despite recent advances in understanding the molecular characteristics and subclasses of these tumors, effective therapeutic options remain scarce. MethodsIn this study, we developed and validated a novel patient-derived ATRT culture and xenograft model, which we used alongside a panel of other primary ATRT models for large-scale drug discovery assays. The identified hits were mechanistically and therapeutically investigated using an array of molecular assays and two orthotopic xenograft murine models. ResultsWe found that ATRT are selectively sensitive to the nucleoside analogue gemcitabine, with additional efficacy in Sonic Hedgehog (SHH)-subtype ATRT. Gene expression profiles and protein analyses indicated that gemcitabine treatment causes degradation of Sirtuin 1 (SIRT1), resulting in cell death through activation of NF-kB and p53. Furthermore, we discovered that gemcitabine-induced loss of SIRT1 results in a nucleus-to-cytoplasm translocation of the SHH signaling activator GLI2, explaining the additional gemcitabine sensitivity in SHH-subtype ATRT. Treatment of SHH-subgroup ATRT xenograft-bearing mice with gemcitabine resulted in a >30% increase in median survival (p<0.005, log-rank test) and yielded long-term survivors in two independent patient-derived xenograft models. ConclusionsThese findings demonstrate that ATRT are highly sensitive to gemcitabine treatment, and we propose that gemcitabine may form part of a future multimodal treatment strategy for ATRT. Key points- ATRT are specifically sensitive to gemcitabine treatment - SIRT1 may serve as a novel therapeutic target in ATRT - Gemcitabine should be considered for clinical use in ATRT patients Importance of the studyAtypical Teratoid/Rhabdoid Tumors (ATRT) are highly malignant pediatric brain tumors with a 5-year survival of merely 30%, for which effective treatment options are limited. In this study, we propose a potential novel treatment strategy for ATRT patients. We show that ATRT are highly sensitive to the chemotherapeutic gemcitabine, that takes advantage of ATRT-specific SIRT1 overexpression and disrupts p53 suppression and hedgehog signaling. Importantly, we show that gemcitabine significantly prolongs survival of ATRT patient-derived xenograft models, prolonging survival by over 30%. This effect was achieved using gemcitabine concentrations that are achievable in human brain and well-tolerated in pediatric patients. As such, gemcitabine could be readily incorporated into clinical treatment protocols and expand the still very limited therapeutic options for ATRT-patients.

cancer biology↗

Development of a CMS Classifier for Clinical CRC Samples

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide, emphasizing the need for improved predictive biomarkers to guide treatment decisions. A classification system based on gene expression profiles, known as CMS, has shown promise in stratifying CRC into distinct subtypes with varying clinical outcomes. However, the lack of a reliable assay to classify formalin-fixed paraffin-embedded (FFPE) samples poses a challenge for translating this system into routine clinical practice. In this paper, we introduce the NanoClassifier, an NanoString-based CMS classifier to classify both FFPE and Fresh frozen (FF) tumors. We demonstrate the strong accuracy of the NanoClassifier in predicting CMS for CRC samples. By validating its performance on FF and FFPE samples, we highlight the prognostic significance of CMS in CRC.

bioinformatics↗

Two opposing gene expression patterns within ATRX aberrant neuroblastoma

Neuroblastoma is the most common extracranial solid tumor in children. A subgroup of high-risk patients is characterized by aberrations in the chromatin remodeller ATRX that is encoded by 35 exons. In contrast to other pediatric cancer where ATRX point mutations are most frequent, multi-exon deletions (MEDs) are the most frequent type of ATRX aberrations in neuroblastoma. Of these MEDs 75% are predicted to produce in-frame fusion proteins, suggesting a potential gain-of-function effect compared to nonsense mutations. For neuroblastoma there are only a few patient-derived ATRX aberrant models. Therefore, we created isogenic ATRX aberrant models using CRISPR-Cas9 in several neuroblastoma cell lines and one tumoroid and performed total RNA-sequencing on these and on the patient-derived model. Gene set enrichment analysis (GSEA) showed decreased expression of genes related to both ribosome biogenesis and several metabolic process in our isogenic ATRX exon 2-10 MED model systems, the patient-derived MED models and in tumor data containing two patients with an ATRX exon 2-10 MED. Interestingly, for our isogenic ATRX knock-out and exon 2-13 MED models GSEA revealed an opposite expression pattern characterized by increased expression of genes related to ribosome biogenesis and several metabolic process. Our validations confirmed a potential role of ATRX in the regulation of ribosome homeostasis. In this manner we identified two distinct molecular expression patterns within ATRX aberrant neuroblastomas with important implications for the need of distinct treatment regimens.

cancer biology↗

Integrative analysis of neuroblastoma by single-cell RNA sequencing identifies the NECTIN2-TIGIT axis as a target for immunotherapy

Pediatric patients with high-risk neuroblastoma have poor survival rates and urgently need more effective treatment options with less side effects. As novel and improved immunotherapies may fill this need, we dissected the immunoregulatory interactions in neuroblastoma by single-cell RNA-sequencing of 25 tumors (10 pre- and 15 post-chemotherapy, including 5 pairs) to identify strategies for optimizing immunotherapy efficacy. Neuroblastomas were infiltrated by NK, T and B cells, and immunosuppressive myeloid populations. NK cells showed reduced cytotoxicity and T cells had a dysfunctional profile. Interaction analysis revealed a vast immunoregulatory network and identified NECTIN2-TIGIT as a crucial immune checkpoint. Combined blockade of TIGIT and PD-L1 significantly reduced neuroblastoma growth, with complete responses in vivo. Moreover, addition of TIGIT blockade to standard relapse treatment in a chemotherapy-resistant Th-ALKF1174L/MYCN 129/SvJ syngeneic model significantly improved survival. Concluding, our integrative analysis of neuroblastomas vast immunoregulatory network provides novel targets and a rationale for immunotherapeutic combination strategies.

cancer biology↗

DHODH is an independent prognostic marker and potent therapeutic target in neuroblastoma

Despite intensive therapy, children with high-risk neuroblastoma are at risk of treatment failure. We applied a pan-cancer, multi-omic system approach to evaluate metabolic vulnerabilities in human neuroblastoma. By combining metabolomics, CRISPR screen and gene expression data from more than 700 solid tumor cell lines, we identified DHODH, a critical enzyme in pyrimidine synthesis, as a potential novel treatment target in neuroblastoma. Of note, DHODH inhibition is currently under clinical investigation in patients with hematologic malignancies. In neuroblastoma, DHODH expression was identified as an independent risk factor for aggressive disease, and high DHODH levels correlated to worse overall and event-free survival. A subset of high-risk neuroblastoma tumors with the highest DHODH expression was associated with a dismal prognosis, with a 5-year survival of less than 10%. In neuroblastoma cell lines, DHODH gene dependency was found to correlate with MYCN dependency, rendering these cell lines highly sensitive to DHODH inhibition in vitro. In xenograft and transgenic neuroblastoma mouse models, tumor growth was dramatically reduced, and survival extended following treatment with the DHODH inhibitor brequinar. A combination of brequinar and temozolomide cured the majority of transgenic TH-MYCN neuroblastoma mice, indicating a highly active clinical combination therapy with curative potential. Overall, DHODH inhibition combined with temozolomde has clear therapeutic potential in neuroblastoma and we propose this combination as a candidate for clinical testing.

cancer biology↗

An immature subset of neuroblastoma cells synthesizes retinoic acid and depends on this metabolite

Neuroblastoma is a pediatric tumor of the adrenergic sympathetic lineage. Most high risk neuroblastoma go in complete clinical remission by chemotherapy, which is subsequently complemented by retinoic acid (RA) maintenance therapy. However, by unresolved mechanisms most tumors ultimately relapse as therapy-resistant disease. Neuroblastoma cell lines were recently found to include, besides lineage committed adrenergic (ADRN) tumor cells, also immature mesenchymal (MES) tumor cells. Here, we report that MES-type cells synthesize RA and require this metabolite for proliferation and motility. MES cells are even resistant to RA in vitro. MES cells appear to resemble Schwann Cell Precursors (SCP), which are motile precursors of the adrenergic lineage. MES and SCP cells express shared RA-synthesis and RA-target genes. Endogenous RA synthesis and RA resistance thus stem from normal programs of lineage precursors that are maintained in an immature tumor cell fraction. These cells are fully malignant in orthotopic patient-derived xenograft models and may mediate development of drug-resistant relapses.

cancer biology↗

Go Get Data (GGD): simple, reproducible access to scientific data

Genomics research is complicated by the inherent difficulty of collecting, transforming, and integrating the numerous datasets and annotations germane to ones research. Furthermore, these data exist in disparate sources, and are stored in numerous, often abused formats from multiple genome builds. Since these complexities waste time, inhibit reproducibility, and curtail research creativity, we developed Go Get Data (GGD; https://gogetdata.github.io/) as a fast, reproducible approach to installing standardized data recipes.

bioinformatics↗

Tumors widely express hundreds of embryonic germline genes

We have recently described a class of 756 genes that are widely expressed in cancer, while normally restricted to adult germ cells, referred to as germ cell cancer genes (GC-genes). We hypothesized that carcinogenesis involves reactivation of biomolecular processes and regulatory mechanisms that, under normal circumstances, are restricted to germline development. This would imply that cancer cells share gene expression profiles with primordial germ cells (PGCs). We therefore compared the transcriptomes of human PGCs (hPGCs) and PGC-like cells (PGCLCs) with 17 382 samples from 54 healthy somatic tissues (GTEx) and 11 003 samples from 33 tumor types (TCGA), and identified 672 GC-genes, expanding the known GC-gene pool by 387 genes (51%). Because GC-genes specific to the embryonic germline are not expressed in any adult tissue, targeting these in cancer treatment may result in fewer side effects than targeting conventional cancer/testis (CT) or GC-genes and may preserve fertility. We anticipate that our extended GC-dataset enables improved understanding of tumor development and may provide multiple novel targets for cancer treatment development.

cancer biology↗

SOX11 is a lineage-dependency factor and master epigenetic regulator in neuroblastoma

The pediatric extra-cranial tumor neuroblastoma (NB) is characterised by a low mutation burden while copy number alterations are present in most high-risk cases. We identified SOX11 as a strong lineage dependency transcription factor in adrenergic NB based on recurrent chromosome 2p focal gains and amplifications, its specific expression in the normal sympatho-adrenal lineage and adrenergic NBs and its regulation by multiple adrenergic specific cis-interacting (super-)enhancers. Adrenergic NBs are strongly dependent on high SOX11 expression levels for growth and proliferation. Through genome-wide DNA-binding and transcriptome analysis, we identified and validated functional SOX11 target genes, several of which implicated in chromatin remodeling and epigenetic modification. SOX11 controls chromatin accessibility predominantly affecting distal adrenergic lineage-specific enhancers marked by binding sites of the adrenergic core regulatory circuitry. During normal sympathoblast differentiation we find expression of SOX11 prior to members of the adrenergic core regulatory circuitry. Given the broad control of SOX11 of multiple epigenetic regulatory complexes and its presumed pioneer factor function, we propose that adrenergic NB cells have co-opted the normal role of SOX11 as a crucial regulator of chromatin accessibility and cell identity.

cancer biology↗

Modulation of macrophage inflammatory function through selective inhibition of the epigenetic reader protein SP140

Speckled 140 KDa (SP140) is a nuclear body protein, mainly expressed in immune cells, which contains multiple domains suggestive of an epigenetic reader function; namely a bromodomain, a PHD domain and a SAND domain. Single nucleotide polymorphisms and epigenetic modifications in the SP140 locus have been linked to autoimmune and inflammatory diseases including Crohns disease (CD). However, little is known about the cellular function of SP140; this is due in part to the fact that, unlike for other many other epigenetic proteins, no small molecule inhibitors have been available to investigate the biological role of SP140. We report the discovery of the first small molecule SP140 inhibitor (GSK761) and utilize this to elucidate SP140 function in innate immune cells. We show that SP140 is highly expressed in CD68+ CD mucosal macrophages and in in vitro-generated inflammatory macrophages. SP140 inhibition through GSK761 reduced monocyte differentiation into inflammatory macrophages and lipopolysaccharide (LPS)-induced inflammatory activation, whilst inducing the generation of CD206+ regulatory macrophages that mark anti-TNF remission induction in CD patients. ChIP-seq analyses revealed that SP140 preferentially occupies transcriptional start sites (TSS) in inflammatory macrophages, with enrichment at gene loci encoding pro-inflammatory cytokines/chemokines and inflammatory pathways. GSK761 specifically reduced SP140 binding and thereby expression of SP140-dependent downstream inflammatory genes. Notably, in CD14+ macrophages isolated from CD intestinal-mucosa, GSK761 inhibited the spontaneous expression of cytokines, including TNF. Together, this study identifies SP140 as a druggable epigenetic reader and therapeutic target for CD.

immunology↗