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Ong, I. M.

Publications and source records attributed to Ong, I. M..

18 recordsLinked to original sources

A shark variable new antigen receptor recognizes an occluded epitope of fibroblast activation protein

Variable new antigen receptors (VNARs) are the smallest naturally occurring antibody binding domains. Their size allows VNARs to access sterically restricted epitopes that are inaccessible to conventional antibodies. We recently identified a suite of VNARs that target fibroblast activation protein (FAP), a stromal serine protease indicative of extracellular matrix remodeling. The presence of FAP on the surface of cancer-associated fibroblasts (CAFs) that promote immunosuppression has made FAP a compelling therapeutic target for cancer therapy. Although antibodies targeting FAP have been developed, there is a paucity of information on how biologics engage FAP. Here, we used single-particle cryogenic electron microscopy (cryo-EM) to compare FAP recognition of three antibody architectures: a shark-derived VNAR, variable heavy (VH) and light domains (VL) of a humanized Immunoglobulin G (IgG), and a camelid-derived VHH. The humanized VH-VL domains and camelid VHH both target a solvent-exposed {beta}-propeller domain, whereas the VNAR binds a highly conserved, topologically recessed epitope at the FAP dimer interface. Radical-footprinting mass spectrometry (MS) further mapped two additional immune-derived VNARs to distinct FAP surfaces outside the shared {beta}-propeller epitope. These findings demonstrate how unique VNAR architecture can expand access to underexplored FAP surfaces and establish a structural framework for rational multiepitope targeting strategies.

biochemistry↗

A Novel Syngeneic Mouse Model to Study Immune Evasion in Head and Neck Squamous Cell Carcinoma

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide, and patient outcomes have remained largely unchanged despite advances in multimodal therapy. Immune checkpoint inhibitors (ICIs), which block the PD-1/PD-L1 axis to restore T cell-mediated anti-tumor immunity, have emerged as a promising treatment strategy. However, response rates remain below 20% in HNSCC, underscoring the need to better understand mechanisms of immune evasion within the tumor microenvironment. Syngeneic mouse models are essential for studying tumor-immune interactions, yet currently available HNSCC models are limited. Here, we report the development of a novel FVB/NJ-derived syngeneic HNSCC model generated from 7,12-dimethylbenz(a)anthracene (DMBA)-induced primary on floor of mouth/buccal tumors, designated FMOC1, FMOC2, and FMOC3 (FVB/NJ Mouse Oral Cancer). In vitro, all FMOC cell lines exhibited robust proliferative capacity with distinct proliferation kinetics. In vivo, all FMOC cell lines exhibited characteristic HNSCC histopathology, including cytokeratin 5 positivity, and were tumorigenic in immunodeficient NCG mice; however, in syngeneic immunocompetent mice, only FMOC1 demonstrated sustained tumor growth at orthotopic and flank sites, whereas FMOC2 and FMOC3 tumors underwent spontaneous regression within 2 weeks, indicating differential immune-dependent tumorigenicity among the lines. Consistent with this, depletion of CD4+ and/or CD8+ T cells restored tumor growth in FMOC2 and FMOC3 models, indicating a critical role for T cell-mediated immunity in tumor suppression. Notably, FMOC1 tumors were responsive to anti-PD-L1 and anti-CTLA-4 therapy, supporting their utility for evaluating immunotherapeutic strategies. Collectively, these findings establish the FMOC model as a novel and versatile platform to study tumor-immune interactions and immune evasion mechanisms in HNSCC, with potential applications in preclinical immunotherapy development.

cancer biology↗

Exclusive liquid repellency isolation (ELRi) microliter scale isolation technique unmasks T-cell migration defects to CCL21 in pediatric asthma

Exclusive Liquid Repellency Isolation (ELRi) is a novel, chip-free platform designed for efficient microscale immune cell isolation. Leveraging the inherent exclusive liquid repellency (ELR) properties of polypropylene tubes with an oil overlay, ELRi ensures that small sample volumes, as low as 8 L, have no contact with container walls, preventing cell loss. Here we describe ELRi and demonstrate magnetic bead-based isolation of diverse immune cells, including T cells, and monocytes, from whole blood. The platforms utility is highlighted in its application to pediatric asthma research, where sample volume is highly restricted. It has been reported that the T cell homing receptor CCR7 is downregulated in cells from asthmatic patients, but a direct functional link to impaired cell migration remains unconfirmed (1, 2). Using ELRi-isolated cells, we provide the first functional evidence that T cells from asthmatic children exhibit significantly impaired chemotaxis toward the CCR7 ligand, CCL21. By simplifying RBC depletion and enabling such functional assays alongside RNA sequencing from the same tiny sample, ELRi overcomes the limitations of large-volume flow cytometry or cell-specific sorting methods. Easily integrated into lab workflows and scalable for various needs, ELRi facilitates more frequent, minimally invasive, and functionally informative immune profiling of restricted volume samples.

immunology↗

A Head and Neck Cancer Patient-Specific Microphysiological System for Predicting Response to Chemoradiation

Head and neck cancer (HNC) is the 6th most common malignancy worldwide. 60% of patients present with advanced disease and approximately 50% of patients recur following primary treatment. Chemoradiation remains a standard of care for most patients. However, clinicians lack functional tools to predict which patients will respond to chemoradiation prior to treatment and current models, including organoids and animal model systems, fail to capture either full complexity or patient-to-patient heterogeneity of the individual HNC tumor and microenvironment (TME). Here, we have developed, characterized, and tested a patient-specific microphysiological system (MPS) that reconstructs the HNC TME in a vascularized 3D environment. This MPS was constructed from malignant cells, fibroblasts, and immune cells from a patients surgically resected tumor, seeded within a 3D hydrogel with molded endothelial lumens. Single-cell RNA sequencing confirmed that the MPS preserved 12 transcriptionally distinct cell populations found in matched native tissue. The platform recapitulated tumor hypoxia, with a 12-fold increase in hypoxic marker expression that altered radiation response, consistent with clinical HNC biology. Compartment-resolved imaging revealed distinct treatment dynamics in tumor, stromal, and vascular regions, and individual patients exhibited divergent responses to chemoradiation in spheroid morphology, cell viability, and migration. We found the slope of spheroid area change with treatment tracked with tumor recurrence, suggesting this metric could serve as a functional predictor of therapeutic response.

bioengineering↗

Priming versus propagating: distinct immune effects of an alpha- versus beta-particle emitting radiopharmaceutical when combined with immune checkpoint inhibition

Radiopharmaceutical therapy (RPT) enhances tumor response to immune checkpoint inhibitors (ICI) in preclinical models, but the effects of different radioisotopes have not been thoroughly compared. To evaluate mechanisms of response to RPT+ICI, we used NM600, an alkylphosphocholine selectively taken up by most tumors. Effects of 90Y-, 177Lu-, and 225Ac-NM600 + ICIs were compared in syngeneic murine models, B78 melanoma (poorly immunogenic) and MC38 colorectal cancer (immunogenic). 90Y-/177Lu-/or 225Ac-NM600 delivering 2 Gy mean tumor dose promoted tumor regression and improved survival when combined with ICIs in syngeneic mice bearing B78 or MC38 tumors. Regardless of the administered isotope, this combination was optimized with early ICI administration (days -3/0/3) relative to day 1 RPT. 90Y-NM600+ICI produced the greatest anti-tumor response for MC38, whereas high linear energy transfer (LET) alpha particle radiation from 225Ac-NM600+ICI was most effective against poorly immunogenic B78 tumors. Flow cytometry and single cell RNA and T cell receptor (TCR) sequencing illuminated distinct mechanisms of 90Y- or 177Lu-NM600 in promoting expansion of existing adaptive immunity and of 225Ac-NM600 in promoting immune priming when combined with ICI. Antitumor immune response can be achieved with appropriate application of - or {beta}- emitting RPT in combination with ICIs in diverse murine tumor models.

cancer biology↗

Low Dose Radiation by Radiopharmaceutical Therapy Enhances GD2 TRAC-CAR T Cells Efficacy in Localized Neuroblastoma

BackgroundWhile chimeric antigen receptor (CAR) T cells have achieved significant success against hematological malignancies, efficacy against neuroblastoma has been limited. Virus-free CRISPR-edited GD2 TRAC-CAR T cells have been developed as a potential means of improving CAR T efficacy but are not curative. Radiopharmaceutical therapy (RPT) is a promising approach to enhance the effectiveness of immunotherapies, including immune checkpoint inhibitors. However, it remains unclear whether RPT can synergize with GD2 TRAC-CAR T cells to improve outcomes in neuroblastoma. MethodsDosimetry studies were conducted to measure the absorbed radiation dose delivered by lutetium-177 (177Lu) in both in vitro and in vivo models. Tumor-bearing mice were treated sequentially with low dose radiation by 177Lu-NM600, an alkylphosphocholine mimetic radiopharmaceutical agent, followed 9 days later by GD2 TRAC-CAR T cells generated in a virus-free manner by CRISPR/Cas9. Tumor burden was monitored through bioluminescence imaging and tumor size measurements. Mechanistic studies were performed using flow cytometry, multiplex assay and single-cell proteomic analysis. ResultsLow dose radiation delivered by 177Lu-NM600 synergized with GD2 TRAC-CAR T cells in a localized neuroblastoma model, resulting in complete tumor regression in all mice. The optimal combination was dependent on both the radiation dose and timing to minimize the negative impact of radiation on CAR T cell viability. Irradiation of neuroblastoma cells by low-dose RPT before GD2 TRAC-CAR T cells enhanced the release by CAR T cells of perforin, granzyme B and cytokines like TNF- and IL-7 while abrogating TGF-{beta}1 secretion. Additionally, low-dose RPT upregulated Fas on neuroblastoma cells, potentially enabling a CAR-independent killing. ConclusionsThis study demonstrates that low-dose RPT can enhance CAR T cell efficacy to treat a solid tumor. Findings suggest that optimization of radiation dose and timing may be needed for each patient and RPT to account for effects of varied tumor radiosensitivity and dosimetry. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/621668v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@153ff5dorg.highwire.dtl.DTLVardef@1a269b7org.highwire.dtl.DTLVardef@1ca9a53org.highwire.dtl.DTLVardef@59f461_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Farm exposure is associated with human breast milk immune profile and microbiome

Prenatal and early life farm exposure, and breastfeeding, are associated with protection from allergic diseases. We hypothesize that farm exposure influences the human breast milk microbiome and immune proteins. The immune protein profiles and microbial communities of 152 human breast milk samples were compared among three maternal farm exposure groups (traditional agrarian, farm, and non-farm) in rural Wisconsin to identify signatures associated with farm status and atopic disease. We found significant differences between farm groups for 23 immune proteins (p-adj<0.05), microbiome diversity (p=2.2E-05), and microbiome richness (p=8.0e-06). Traditional agrarian human breast milk had the highest immune protein levels and microbiome diversity and richness, followed by farm and non-farm human breast milk. Furthermore, Gram-positive bacterial species correlated with IL-23 mediated signaling events (p-adj<1.0E-05). These data suggest that increased farm exposures promotes human breast milk that is more microbially-diverse and rich in immune-associated proteins, ultimately influencing immune development in the infant.

microbiology↗

MPAC: a computational framework for inferring cancer pathway activities from multi-omic data

Fully capturing cellular state requires examining genomic, epigenomic, transcriptomic, proteomic, and other assays for a biological sample and comprehensive computational modeling to reason with the complex and sometimes conflicting measurements. Modeling these so-called multi-omic data is especially beneficial in disease analysis, where observations across omic data types may reveal unexpected patient groupings and inform clinical outcomes and treatments. We present Multi-omic Pathway Analysis of Cells (MPAC), a computational framework that interprets multi-omic data through prior knowledge from biological pathways. MPAC leverages network relationships encoded in pathways through a factor graph to infer consensus activity levels for proteins and associated pathway entities from multi-omic data, runs permutation testing to eliminate spurious activity predictions, and groups biological samples by pathway activities to allow identifying and prioritizing proteins with potential clinical relevance, e.g., associated with patient prognosis. Using DNA copy number alteration and RNA-seq data from head and neck squamous cell carcinoma patients from The Cancer Genome Atlas as an example, we demonstrate that MPAC predicts a patient subgroup related to immune responses not identified by analysis with either input omic data type alone. Key proteins identified via this subgroup have pathway activities related to clinical outcome as well as immune cell compositions. Our MPAC R package, available at https://bioconductor.org/packages/MPAC, enables similar multi-omic analyses on new datasets.

bioinformatics↗

Dietary isoleucine content defines the metabolic and molecular response to a Western diet

The amino acid composition of the diet has recently emerged as a critical regulator of metabolic health. Consumption of the branched-chain amino acid isoleucine is positively correlated with body mass index in humans, and reducing dietary levels of isoleucine rapidly improves the metabolic health of diet-induced obese male C57BL/6J mice. However, it is unknown how sex, strain, and dietary isoleucine intake may interact to impact the response to a Western Diet (WD). Here, we find that although the magnitude of the effect varies by sex and strain, reducing dietary levels of isoleucine protects C57BL/6J and DBA/2J mice of both sexes from the deleterious metabolic effects of a WD, while increasing dietary levels of isoleucine impairs aspects of metabolic health. Despite broadly positive responses across all sexes and strains to reduced isoleucine, the molecular response of each sex and strain is highly distinctive. Using a multi-omics approach, we identify a core sex- and strain-independent molecular response to dietary isoleucine, and identify mega-clusters of differentially expressed hepatic genes, metabolites, and lipids associated with each phenotype. Intriguingly, the metabolic effects of reduced isoleucine in mice are not associated with FGF21 - and we find that in humans plasma FGF21 levels are likewise not associated with dietary levels of isoleucine. Finally, we find that foods contain a range of isoleucine levels, and that consumption of dietary isoleucine is lower in humans with healthy eating habits. Our results demonstrate that the dietary level of isoleucine is critical in the metabolic and molecular response to a WD, and suggest that lowering dietary levels of isoleucine may be an innovative and translatable strategy to protect from the negative metabolic consequences of a WD.

physiology↗

Assessing Immune Factors in Maternal Milk and Paired Infant Plasma Antibody Binding to Human Rhinoviruses

Before they can produce their own antibodies, newborns are protected from infections by transplacental transfer of maternal IgG antibodies and after birth through breast milk IgA antibodies. Rhinovirus (RV) infections are extremely common in early childhood, and while RV infections often result in only mild upper respiratory illnesses, they can also cause severe lower respiratory illnesses such as bronchiolitis and pneumonia. We used high-density peptide arrays to profile infant and maternal antibody reactivity to capsid and full proteome sequences of three human RVs - A16, B52, and C11. Numerous plasma IgG and breast milk IgA RV epitopes were identified that localized to regions of the RV capsid surface and interior, and also to several non-structural proteins. While most epitopes were bound by both IgG and IgA, there were several instances where isotype-specific and RV-specific binding were observed. We also profiled 62 unique RV-C dominant protein loop sequences characteristic of this species capsid VP1 protein. Many of these RV-C sites were highly bound by IgG from one-year-old infants, indicating recent or ongoing active infections, or alternatively, a level of cross-reactivity among homologous RV-C sites.

immunology↗

Ranking Antibody Binding Epitopes and Proteins Across Samples from Whole Proteome Tiled Linear Peptides

Ultradense peptide binding arrays that can probe millions of linear peptides comprising the entire proteomes or immunomes of human or mouse, or numerous microbes, are powerful tools for studying the abundance of different antibody repertoire in serum samples to understand adaptive immune responses. There are few statistical analysis tools for exploring high-dimensional, significant and reproducible antibody targets for ultradense peptide binding arrays at the linear peptide, epitope (grouping of adjacent peptides), and protein level across multiple samples/subjects (I.e. epitope spread or immunogenic regions within each protein) for understanding the heterogeneity of immune responses. We developed HERON (Hierarchical antibody binding Epitopes and pROteins from liNear peptides), an R package, which allows users to identify immunogenic epitopes using meta-analyses and spatial clustering techniques to explore antibody targets at various resolution and confidence levels, that can be found consistently across a specified number of samples through the entire proteome to study antibody responses for diagnostics or treatment. Our approach estimates significance values at the linear peptide (probe), epitope, and protein level to identify top candidates for validation. We test the performance of predictions on all three levels using correlation between technical replicates and comparison of epitope calls on 2 datasets, which shows HERONs competitiveness in estimating false discovery rates and finding general and sample-level regions of interest for antibody binding. The code is available as an R package downloadable from http://github.com/Ong-Research/HERON.

bioinformatics↗

Antibody landscape of C57BL/6 mice cured of B78 melanoma via immunotherapy

1Antibodies can play an important role in innate and adaptive immune responses against cancer, and in preventing infectious disease. Flow cytometry analysis of sera of immune mice that were previously cured of their melanoma through a combined immunotherapy regimen with long-term memory showed strong antibody-binding against melanoma tumor cell lines. Using a high-density whole-proteome peptide array, we assessed potential protein-targets for antibodies found in immune sera. Sera from 6 of these cured mice were analyzed with this high-density, whole-proteome peptide array to determine specific antibody-binding sites and their linear peptide sequence. We identified thousands of peptides that were targeted by 2 or more of these 6 mice and exhibited strong antibody binding only by immune, not naive sera. Confirmatory studies were done to validate these results using 2 separate ELISA-based systems. To the best of our knowledge, this is the first study of the "immunome" of protein-based epitopes that are recognized by immune sera from mice cured of cancer via immunotherapy. summaryHoefges et al. utilized a whole-proteome peptide array approach to show that C57BL/6 mice develop a large repertoire of antibodies against linear peptide sequences of their melanoma after receiving a curative immunotherapy regimen consisting of radiation and an immunocytokine.

immunology↗

MASH Native: A Unified Solution for Native Top-Down Proteomics Data Processing

Native top-down proteomics (nTDP) integrates native mass spectrometry (nMS) with top-down proteomics (TDP) to provide comprehensive analysis of protein complexes together with proteoform identification and characterization. Despite significant advances in nMS and TDP software developments, a unified and user-friendly software package for analysis of nTDP data remains lacking. Herein, we have developed MASH Native to provide a unified solution for nTDP to process complex datasets with database searching capabilities in a user-friendly interface. MASH Native supports various data formats and incorporates multiple options for deconvolution, database searching, and spectral summing to provide a one-stop shop for characterizing both native protein complexes and proteoforms. The MASH Native app, video tutorials, written tutorials and additional documentation are freely available for download at https://labs.wisc.edu/gelab/MASH_Explorer/MASHNativeSoftware.php. All data files shown in user tutorials are included with the MASH Native software in the download .zip file.

bioinformatics↗

Dietary restriction of isoleucine increases healthspan and lifespan of genetically heterogeneous mice

Low protein (LP) diets promote health and longevity in diverse species. Although the precise components of an LP diet that mediate its beneficial effects have not been defined, reducing dietary levels of the three branched-chain amino acids (BCAAs) leucine, isoleucine and valine promotes metabolic health in both sexes, and increases lifespan while reducing frailty in male, but not female, C57BL/6J mice. Each BCAA has unique metabolic effects, and we recently showed that restriction of isoleucine is both sufficient to promote metabolic health and required for the metabolic benefits of an LP diet in male C57BL/6J mice. Here, we tested the hypothesis that specifically restricting isoleucine could promote healthy aging in genetically heterogenous UM-HET3 mice. We find that a reduced isoleucine diet improves the metabolic health of both young and old HET3 mice, promoting leanness and glycemic control. Restriction of isoleucine starting in adult, 6 month old HET3 mice reprograms hepatic metabolism in a way distinct from an LP diet. Finally, we find that a reduced isoleucine diet reduces frailty and extends the lifespan of both male and female HET3 mice, but to a much greater degree in males. Our results demonstrate that restricting dietary isoleucine can increase health span and longevity in a genetically diverse population of mice, and suggests that reducing dietary levels of isoleucine may have great potential as a geroprotective intervention.

physiology↗

Integrating Subclonal Response Heterogeneity to Define Cancer Organoid Therapeutic Sensitivity

Tumor heterogeneity is predicted to confer inferior clinical outcomes, however modeling heterogeneity in a manner that still represents the tumor of origin remains a formidable challenge. Sequencing technologies are limited in their ability to identify rare subclonal populations and predict response to the multitude of available treatments for patients. Patient-derived organotypic cultures have significantly improved the modeling of cancer biology by faithfully representing the molecular features of primary malignant tissues. Patient-derived cancer organoid (PCO) cultures contain numerous individual organoids with the potential to recapitulate heterogeneity, though PCOs are most commonly studied in bulk ignoring any diversity in the molecular profile or treatment response. Here we demonstrate the advantage of evaluating individual PCOs in conjunction with cellular level optical metabolic imaging to characterize the largely ignored heterogeneity within these cultures to predict clinical therapeutic response, identify subclonal populations, and determine patient specific mechanisms of resistance.

cancer biology↗

The landscape of antibody binding to SARS-CoV-2

The search for potential antibody-based diagnostics, vaccines, and therapeutics for pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has focused almost exclusively on the spike (S) and nucleocapsid (N) proteins. Coronavirus membrane (M), ORF3a, and ORF8 proteins are humoral immunogens in other coronaviruses (CoVs) but remain largely uninvestigated for SARS-CoV-2. Here we use ultradense peptide microarray mapping to show that SARS-CoV-2 infection induces robust antibody responses to epitopes throughout the SARS-CoV-2 proteome, particularly in M, in which one epitope achieved excellent diagnostic accuracy. We map 79 B cell epitopes throughout the SARS-CoV-2 proteome and demonstrate that antibodies that develop in response to SARS-CoV-2 infection bind homologous peptide sequences in the six other known human CoVs. We also confirm reactivity against four of our top-ranking epitopes by enzyme-linked immunosorbent assay (ELISA). Illness severity correlated with increased reactivity to nine SARS-CoV-2 epitopes in S, M, N, and ORF3a in our population. Our results demonstrate previously unknown, highly reactive B cell epitopes throughout the full proteome of SARS-CoV-2 and other CoV proteins.

immunology↗

Development and Characterization of Patient-Derived Xenografts from Non-Small Cell Lung Cancer Brain Metastases

IntroductionThe purpose of this study was to establish and characterize a direct-from patient-derived xenograft (PDX) model of non-small cell lung cancer (NSCLC) brain metastases. MethodsSurgically obtained tissue was implanted subcutaneously and as orthotopic intracranial implants into immunodeficient mice. Histology and DNA loci were compared between original tumor and subsequent PDX passages. Tumors underwent RNA and DNA sequencing and relevant therapeutic targets were identified. Tumor growth rates were assessed following treatment with radiation, MEK inhibitor selumetinib, or MET inhibitor savolitinib. Cell lines were established. ResultsNine NSCLC brain metastases PDXs were established. Morphologically, strong retention of cytoarchitectural features was observed between original patient tumor and subcutaneous and intracranial tumors. Short tandem repeat analysis demonstrated strong concordance between patient tumors and subsequent PDX passages. Transcriptome and mutation analysis revealed high correlation between matched patient and PDX samples. Significant growth inhibition occurred with radiation, with selumetinib in tumors harboring KRAS G12C mutations and with savolitinib in a tumor with MET exon 14 skipping mutation. The combination of radiation and savolitinib resulted in significant tumor growth delay compared to radiation or savolitinib alone our MET exon 14 skipping mutation PDX. Early passage cell strains showed high consistency between patient and PDX tumors. ConclusionWe have established a robust human xenograft model system for investigating NSCLC brain metastases. These PDXs and cell lines show strong phenotypic and molecular correlation with the original patient tumors and provide a valuable resource for testing preclinical therapeutics.

cancer biology↗

Transcriptional elongation machinery controls vulnerability of breast cancer cells to PRC2 inhibitors

CTR9 is the scaffold subunit in Paf1c, a multifunctional complex regulating multiple steps of RNA Pol II-mediated transcription. Using inducible and stable CTR9 knockdown breast cancer cell lines, we discovered that the expression of a subset of KDMs, including KDM6A and Jarid2, is strictly controlled by CTR9. Global analyses of histone modifications revealed a significant increase of H3K27me3 upon loss of CTR9. Loss of CTR9 results in a decrease of H3K4me3 and H3K36me3 in gene bodies, and elevated levels and genome-wide expansion of H3K27me3. Mechanistically, CTR9 depletion triggers a PRC2 subtype switching from PRC2.2 to PRC2.1. As a consequence, CTR9 depletion generates vulnerability that renders breast cancer cells hypersensitive to PRC2 inhibitors. Our findings that CTR9 demarcates PRC2-mediated H3K27me3 levels and genomic distribution, provide a unique mechanism of transition from transcriptionally active to repressive chromatin states and sheds light on the biological functions of CTR9 in development and cancer.

cancer biology↗