Single-cell Transcriptomic Approaches Research Articles

Abstract 2540: A multi-dimensional analysis of human gliomas at the single cell level identifies immune suppressive macrophage molecular signatures and a novel immunotherapy target for GBM

Abstract Glioblastoma (GBM) is the most prevalent primary brain malignancy in adults. The current standard of care includes maximal surgical resection followed by radio- and chemotherapy with temozolomide. Yet <5% of GBM patients survive more than five years. This indicates a desperate need for more effective treatments, such as immunotherapy for GBM patients. Unfortunately, most immunotherapy trials, including vaccines, adoptive cellular therapy, CAR-T cells, and checkpoint blockade, showed only modest benefits in GBM patients. A major barrier to immunotherapy efficacy is GBM’s immunosuppressive microenvironment composed of few tumor infiltrating lymphocytes (TILs; <5%) but abundant myeloid cells, making it an immune cold tumor. By contrast, immune hot tumors, characterized by abundant tumoricidal effector T cells necessary to mount a meaningful attack, have consistently responded better to immunotherapy. Hence, a better definition of the heterogeneous cell types in the GBM microenvironment and their function is urgently needed. Fortunately, single cell transcriptomics approaches provide comprehensive and high-resolution cellular and molecular understanding to resolve this heterogeneity. Here we report an integrated, multiregional and -dimensional single cell transcriptomic analysis of 201,986 human glioma and immune cells derived from 44 tissue fragments from 18 human glioma patients. In doing so, we map GBM cellular heterotypia and spatial, molecular, and functional heterogeneity of glioma associated immune cells. We report extensive spatial and molecular heterogeneity of glioma cells, microglia, macrophages, and T cells within the same tumor samples in low grade gliomas, primary GBMs, and recurrent GBMs. Importantly, our analysis of 83,479 glioma infiltrating myeloid cells identifies 9 molecularly distinct myeloid subtypes: 4 microglial, 4 bone marrow derived macrophage and dendritic cells subtypes. Importantly, in multiple independent glioma patient cohorts, 5 of these myeloid cell subtype gene signatures were independent predictors of patient survival. We also provide evidence that cell:cell communication between glioma and immune cells is more robust than glioma:Tcells, indicating that myeloid cells form a communication hub in vivo. Additionally, we identified S100A4 as highly expressed in immunosuppressive macrophages and T cells, and provide in vitro and in vivo evidence that S100a4 plays a critical role in promoting immunosuppressive phenotypes in glioma associated leukocytes. This study not only provides the first comprehensive single cell atlas of GBM to include both glioma and immune cells from same samples but also demonstrates its utility in elucidating cell:cell communication among different cell types in vivo and discovering new therapeutic targets for this poorly immunogenic cancer. Citation Format: Nourhan Abdelfattah, Parveen Kumar, Caiyi Wang, Jia-Shiun Leu, William W. Flynn, Ruli Gao, David S. Baskin, Kumar Pichumani, Omkar B. Ijare, Stephanie Wood, Suzanne Powell, David Haviland, Frederick F. Lang, Sujit Prabhu, Kristin Huntoon, Brittany C. Parker Kerrigan, Wen Jiang Jiang, Betty Y. Kim, Joshy George, Kyuson Yun. A multi-dimensional analysis of human gliomas at the single cell level identifies immune suppressive macrophage molecular signatures and a novel immunotherapy target for GBM [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2540.

Neuron-to-vessel signaling is a required feature of aberrant stem cell commitment after soft tissue trauma

The functional interdependence of nerves and blood vessels is a well-established concept during tissue morphogenesis, yet the role of neurovascular coupling in proper and aberrant tissue repair is an emerging field of interest. Here, we sought to define the regulatory relationship of peripheral nerves on vasculature in a severe extremity trauma model in mice, which results in aberrant cell fate and heterotopic ossification (HO). First, a high spatial degree of neurovascular congruency was observed to exist within extremity injury associated heterotopic ossification. Vascular and perivascular cells demonstrate characteristic responses to injury, as assessed by single cell RNA sequencing. This vascular response to injury was blunted in neurectomized mice, including a decrease in endothelial proliferation and type H vessel formation, and a downregulation of key transcriptional networks associated with angiogenesis. Independent mechanisms to chemically or genetically inhibit axonal ingrowth led to similar deficits in HO site angiogenesis, a reduction in type H vessels, and heterotopic bone formation. Finally, a combination of single cell transcriptomic approaches within the dorsal root ganglia identified key neural-derived angiogenic paracrine factors that may mediate neuron-to-vascular signaling in HO. These data provide further understanding of nerve-to-vessel crosstalk in traumatized soft tissues, which may reflect a key determinant of mesenchymal progenitor cell fate after injury.

Markers of equine placental differentiation: insights from gene expression studies.

Development and the subsequent function of the fetal membranes of the equine placenta require both complex and precise regulation of gene expression. Advancements in recent years in bioinformatic techniques have allowed more extensive analyses into gene expression than ever before. This review starts by combining publically available transcriptomic data sets obtained from a range of embryonic, placental and maternal tissues, with previous knowledge of equine placental development and physiology, to gain insights into key gene families relevant to placentation in the horse. Covering the whole of pregnancy, the review covers trophectoderm, yolk sac, chorionic girdle cells, allantoamnion and allantochorion. In particular, 182 predicted 'early high impact' genes were identified (>100 transcripts per million (TPM) and >100 fold-change) that distinguish between progenitor trophectoderm, chorionic girdle tissue and allantochorion. Furthermore, 71 genes were identified as enriched in placental tissues (placental TPM > 10, with minimal expression in 12 non-placental TPM < 1), including excellent candidates for functional studies such as IGF1, apolipoproteins, VGLL1, GCM1, CDX2 and FABP4. It is pertinent that future studies should focus on single-cell transcriptomic approaches in order to determine how these changes in gene expression relate to tissue composition and start to better define trophoblast subpopulations in the equine placenta. Future functional characterisation of these genes and pathways will also be key not only to understanding normal placental development and fetal health but also their potential role in pathologies of pregnancy.

High-content image analysis to study phenotypic heterogeneity in endothelial cell monolayers.

Endothelial cells (ECs) are heterogeneous across and within tissues, reflecting distinct, specialised functions. EC heterogeneity has been proposed to underpin EC plasticity independently from vessel microenvironments. However, heterogeneity driven by contact-dependent or short-range cell-cell crosstalk cannot be evaluated with single cell transcriptomic approaches, as spatial and contextual information is lost. Nonetheless, quantification of EC heterogeneity and understanding of its molecular drivers is key to developing novel therapeutics for cancer, cardiovascular diseases and for revascularisation in regenerative medicine. Here, we developed an EC profiling tool (ECPT) to examine individual cells within intact monolayers. We used ECPT to characterise different phenotypes in arterial, venous and microvascular EC populations. In line with other studies, we measured heterogeneity in terms of cell cycle, proliferation, and junction organisation. ECPT uncovered a previously under-appreciated single-cell heterogeneity in NOTCH activation. We correlated cell proliferation with different NOTCH activation states at the single-cell and population levels. The positional and relational information extracted with our novel approach is key to elucidating the molecular mechanisms underpinning EC heterogeneity.

Unbiased integration of single cell transcriptome replicates.

Single cell transcriptomic approaches are becoming mainstream, with replicate experiments commonly performed with the same single cell technology. Methods that enable integration of these datasets by removing batch effects while preserving biological information are required for unbiased data interpretation. Here, we introduce Canek for this purpose. Canek leverages information from mutual nearest neighbor to combine local linear corrections with cell-specific non-linear corrections within a fuzzy logic framework. Using a combination of real and synthetic datasets, we show that Canek corrects batch effects while introducing the least amount of bias compared with competing methods. Canek is computationally efficient and can easily integrate thousands of single-cell transcriptomes from replicated experiments.

Plant Cell Identity in the Era of Single-Cell Transcriptomics.

High-throughput single-cell transcriptomic approaches have revolutionized our view of gene expression at the level of individual cells, providing new insights into their heterogeneity, identities, and functions. Recently, technical challenges to the application of single-cell transcriptomics to plants have been overcome, and many plant organs and tissues have now been subjected to analyses at single-cell resolution. In this review, we describe these studies and their impact on our understanding of the diversity, differentiation, and activities of plant cells. We particularly highlight their impact on plant cell identity, including unprecedented views of cell transitions and definitions of rare and novel cell types. We also point out current challenges and future opportunities for the application and analyses of single-cell transcriptomics in plants.

Single-cell transcriptomics in the Drosophila visual system: Advances and perspectives on cell identity regulation, connectivity, and neuronal diversity evolution

The Drosophila visual system supports complex behaviors and shares many of its anatomical and molecular features with the vertebrate brain. Yet, it contains a much more manageable number of neurons and neuronal types. In addition to the extensive Drosophila genetic toolbox, this relative simplicity has allowed decades of work to yield a detailed account of its neuronal type diversity, morphology, connectivity and specification mechanisms. In the past three years, numerous studies have applied large scale single-cell transcriptomic approaches to the Drosophila visual system and have provided access to the complete gene expression profile of most neuronal types throughout development. This makes the fly visual system particularly well suited to perform detailed studies of the genetic mechanisms underlying the evolution and development of neuronal systems. Here, we highlight how these transcriptomic resources allow exploring long-standing biological questions under a new light. We first present the efforts made to characterize neuronal diversity in the Drosophila visual system and suggest ways to further improve this description. We then discuss current advances allowed by the single-cell datasets, and envisage how these datasets can be further leveraged to address fundamental questions regarding the regulation of neuronal identity, neuronal circuit development and the evolution of neuronal diversity.

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair.

Overwhelming lipid peroxidation induces ferroptotic stress and ferroptosis, a non-apoptotic form of regulated cell death that has been implicated in maladaptive renal repair in mice and humans. Using single-cell transcriptomic and mouse genetic approaches, we show that proximal tubular (PT) cells develop a molecularly distinct, pro-inflammatory state following injury. While these inflammatory PT cells transiently appear after mild injury and return to their original state without inducing fibrosis, after severe injury they accumulate and contribute to persistent inflammation. This transient inflammatory PT state significantly downregulates glutathione metabolism genes, making the cells vulnerable to ferroptotic stress. Genetic induction of high ferroptotic stress in these cells after mild injury leads to the accumulation of the inflammatory PT cells, enhancing inflammation and fibrosis. Our study broadens the roles of ferroptotic stress from being a trigger of regulated cell death to include the promotion and accumulation of proinflammatory cells that underlie maladaptive repair.

BACH2 enforces the transcriptional and epigenetic programs of stem-like CD8+ T cells.

During chronic infection and cancer, a self-renewing CD8+ T cell subset maintains long-term immunity and is critical to the effectiveness of immunotherapy. These stem-like CD8+ T cells diverge from other CD8+ subsets early after chronic viral infection. However, pathways guarding stem-like CD8+ T cells against terminal exhaustion remain unclear. Here, we show that the gene encoding transcriptional repressor BACH2 is transcriptionally and epigenetically active in stem-like CD8+ T cells but not terminally exhausted cells early after infection. BACH2 overexpression enforced stem-like cell fate, whereas BACH2 deficiency impaired stem-like CD8+ T cell differentiation. Single-cell transcriptomics and epigenomics approaches revealed that BACH2 establishes the transcriptional and epigenetic programs of stem-like CD8+ T cells. In addition, BACH2 suppressed the molecular program driving terminal exhaustion through transcriptional repression and epigenetic silencing. Thus, our study reveals a novel pathway that enforces commitment to stem-like CD8+ lineage and prevents alternative terminally exhausted cell fate.

Patch-seq: Past, Present, and Future.

Single-cell transcriptomic approaches are revolutionizing neuroscience. Integrating this wealth of data with morphology and physiology, for the comprehensive study of neuronal biology, requires multiplexing gene expression data with complementary techniques. To meet this need, multiple groups in parallel have developed "Patch-seq," a modification of whole-cell patch-clamp protocols that enables mRNA sequencing of cell contents after electrophysiological recordings from individual neurons and morphologic reconstruction of the same cells. In this review, we first outline the critical technical developments that enabled robust Patch-seq experimental efforts and analytical solutions to interpret the rich multimodal data generated. We then review recent applications of Patch-seq that address novel and long-standing questions in neuroscience. These include the following: (1) targeted study of specific neuronal populations based on their anatomic location, functional properties, lineage, or a combination of these factors; (2) the compilation and integration of multimodal cell type atlases; and (3) the investigation of the molecular basis of morphologic and functional diversity. Finally, we highlight potential opportunities for further technical development and lines of research that may benefit from implementing the Patch-seq technique. As a multimodal approach at the intersection of molecular neurobiology and physiology, Patch-seq is uniquely positioned to directly link gene expression to brain function.

Single-cell and spatial transcriptomics approaches of cardiovascular development and disease

Recent advancements in the resolution and throughput of single-cell analyses, including single-cell RNA sequencing (scRNA-seq), have achieved significant progress in biomedical research in the last decade. These techniques have been used to understand cellular heterogeneity by identifying many rare and novel cell types and characterizing subpopulations of cells that make up organs and tissues. Analysis across various datasets can elucidate temporal patterning in gene expression and developmental cues and is also employed to examine the response of cells to acute injury, damage, or disruption. Speci-fically, scRNA-seq and spatially resolved transcriptomics have been used to describe the identity of novel or rare cell subpo-pulations and transcriptional variations that are related to normal and pathological conditions in mammalian models and human tissues. These applications have critically contributed to advance basic cardiovascular research in the past decade by identifying novel cell types implicated in development and dis-ease. In this review, we describe current scRNA-seq technolo-gies and how current scRNA-seq and spatial transcriptomic (ST) techniques have advanced our understanding of cardiovascu-lar development and disease.

Dual Relief of T-lymphocyte Proliferation and Effector Function Underlies Response to PD-1 Blockade in Epithelial Malignancies.

Although understanding of T-cell exhaustion is widely based on mouse models, its analysis in patients with cancer could provide clues indicating tumor sensitivity to immune checkpoint blockade (ICB). Data suggest a role for costimulatory pathways, particularly CD28, in exhausted T-cell responsiveness to PD-1/PD-L1 blockade. Here, we used single-cell transcriptomic, phenotypic, and functional approaches to dissect the relation between CD8+ T-cell exhaustion, CD28 costimulation, and tumor specificity in head and neck, cervical, and ovarian cancers. We found that memory tumor-specific CD8+ T cells, but not bystander cells, sequentially express immune checkpoints once they infiltrate tumors, leading, in situ, to a functionally exhausted population. Exhausted T cells were nonetheless endowed with effector and tumor residency potential but exhibited loss of the costimulatory receptor CD28 in comparison with their circulating memory counterparts. Accordingly, PD-1 inhibition improved proliferation of circulating tumor-specific CD8+ T cells and reversed functional exhaustion of specific T cells at tumor sites. In agreement with their tumor specificity, high infiltration of tumors by exhausted cells was predictive of response to therapy and survival in ICB-treated patients with head and neck cancer. Our results showed that PD-1 blockade-mediated proliferation/reinvigoration of circulating memory T cells and local reversion of exhaustion occur concurrently to control tumors.

Genomics at cellular resolution: insights into cognitive disorders and their evolution.

High-throughput genomic sequencing approaches have held the promise of understanding and ultimately leading to treatments for cognitive disorders such as autism spectrum disorders, schizophrenia and Alzheimer's disease. Although significant progress has been made into identifying genetic variants associated with these diseases, these studies have also uncovered that these disorders are mostly genetically complex and thus challenging to model in non-human systems. Improvements in such models might benefit from understanding the evolution of the human genome and how such modifications have affected brain development and function. The intersection of genome-wide variant information with cell-type-specific expression and epigenetic information will further assist in resolving the contribution of particular cell types in evolution or disease. For example, the role of non-neuronal cells in brain evolution and cognitive disorders has gone mostly underappreciated until the recent availability of single-cell transcriptomic approaches. In this review, we discuss recent studies that carry out cell-type-specific assessments of gene expression in brain tissue across primates and between healthy and disease populations. The emerging results from these studies are beginning to elucidate how specific cell types in the evolved human brain are contributing to cognitive disorders.

Applying single-cell technologies to clinical pathology: progress in nephropathology.

Cells represent the basic building blocks of living organisms. Accurate characterisation of cellular phenotype, intercellular signalling networks, and the spatial organisation of cells within organs is crucial to deliver a better understanding of the processes underpinning physiology, and the perturbations that lead to disease. Single‐cell methodologies have increased rapidly in scale and scope in recent years and are set to generate important insights into human disease. Here, we review current practices in nephropathology, which are dominated by relatively simple morphological descriptions of tissue biopsies based on their appearance using light microscopy. Bulk transcriptomics have more recently been used to explore glomerular and tubulointerstitial kidney disease, renal cancer, and the responses to injury and alloimmunity in kidney transplantation, generating novel disease insights and prognostic biomarkers. These studies set the stage for single‐cell transcriptomic approaches that reveal cell‐type–specific gene expression patterns in health and disease. These technologies allow genome‐wide disease susceptibility genes to be interpreted with the knowledge of the specific cell populations within organs that express them, identifying candidate cell types for further study. Single‐cell technologies are also moving beyond assaying individual cellular transcriptomes, to measuring the epigenetic landscape of single cells. Single‐cell antigen‐receptor gene sequencing also enables specific T‐ and B‐cell clones to be tracked in different tissues and disease states. In the coming years these rich ‘multi‐omic’ descriptions of kidney disease will enable histopathological descriptions to be comprehensively integrated with molecular phenotypes, enabling better disease classification and prognostication and the application of personalised treatment strategies. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Single-cell and spatial transcriptomics approaches of the bone marrow microenvironment.

The bone marrow is home to hematopoietic stem cells responsible for lifelong blood production, alongside mesenchymal stem cells required for skeletal regeneration. In the bone marrow, a unique combination of signals derived from a multitude of cell types results in the establishment of so-called niches that regulate stem-cell maintenance and differentiation. Recently, single-cell and spatially resolved transcriptomics technologies have been utilized to characterize the murine bone marrow microenvironment during homeostasis, stress and upon cancer-induced remodeling. In this review, we summarize the major findings of these studies. Single-cell technologies applied to bone marrow provided the first systematic and label-free identification of bone marrow cell types, enabled their molecular and spatial characterization, and clarified the cellular sources of key prohematopoietic factors. Large transcriptional heterogeneity and novel subpopulations were observed in compartments previously thought to be homogenous. For example, Lepr Cxcl12-abundant reticular cells were shown to constitute the major source of prohematopoietic factors, but consist of subpopulations differing in their adipogenic versus osteogenic priming, morphology and localization. These subpopulations were suggested to act as professional cytokine secreting cells, thereby establishing distinct bone marrow niches. Single-cell and spatially resolved transcriptomics approaches have clarified the molecular identity and localization of bone marrow-resident cell types, paving the road for a deeper exploration of bone marrow niches in the mouse and humans.

P038 A single-cell transcriptomics approach reveals high-resolution cellular signatures in Crohn’s disease

Abstract Background Single-cell RNA sequencing (sc-RNAseq) provides high-resolution analysis of individual cells and cell clusters within complex tissues like the intestinal mucosa. No study to date has applied this novel technology to understand the complexity of intestinal inflammation in Crohn’s disease (CD) patients. Our aim is to identify the cellular subsets present in healthy and inflamed colon, and to describe how individual subsets are regulated in active CD. Methods Colon biopsies from a healthy control (HC) and two patients with endoscopically active colonic CD were collected and processed by enzymatic digestion and cell sorting to discard dead cells. Single-cell suspensions were processed by droplet-based protocol 10× chromium system followed by library preparation and sequencing. Sequencing data were aligned and quantified using Cell Ranger. Downstream analysis was performed using the R package Seurat. Results scRNA-seq analysis identified 14 transcriptionally different cell subsets in the healthy colon, including diverse types of T cells, plasma cells, mesenchymal cells, epithelial cells and myeloid populations, as well as a subset of MHCII+ CD20+ B cells. Overall, the number of transcriptionally differentiated cellular subsets was greater (16 and 17 subsets per sample) in the two CD colonic samples revealing higher cellular heterogeneity in active CD. In particular, in the HC we identified three T-cell subsets including a CD4+, CD8+ and a smaller subset of intraepithelial lymphocytes. In contrast, samples from CD patients presented four to six clearly differentiated T-cell clusters depending on the patient, with a marked enrichment of cytotoxicity genes (GZMA, GZMB, NKG7, CCL5 and AOAH) and T-regulatory genes (FOXP3, CTLA4, BATF and IL2RA). In addition, the HC sample presented three differentiated subsets of antibody-secreting plasma cells with predominant IgA and IgM production. In contrast, a clear expansion of IgG-producing plasma cells was observed in both CD patients. Moreover, the profiles of specific subsets significantly changed revealing transcriptional regulation within the individual subsets. Specifically, macrophages within the HC mucosa expressed the M2 markers CD163 and CD209 together with a whole signature of 163 additional genes, while in CD, they lost expression of these markers and upregulated CXCL8 and IL1B which were co-expressed with 268 additional genes common to macrophage populations in both CD patients. Conclusion We show that sc-RNAseq can be applied to study at a high cellular resolution human intestinal biopsies. Understanding the transcriptomic profile of the CD-related subsets will help dissect disease pathophysiology and provide knowledge for therapeutic targets.

Meet the First Authors.

Meet the First Authors.

Growth Plate Chondrocytes: Skeletal Development, Growth and Beyond.

Growth plate chondrocytes play central roles in the proper development and growth of endochondral bones. Particularly, a population of chondrocytes in the resting zone expressing parathyroid hormone-related protein (PTHrP) is now recognized as skeletal stem cells, defined by their ability to undergo self-renewal and clonally give rise to columnar chondrocytes in the postnatal growth plate. These chondrocytes also possess the ability to differentiate into a multitude of cell types including osteoblasts and bone marrow stromal cells during skeletal development. Using single-cell transcriptomic approaches and in vivo lineage tracing technology, it is now possible to further elucidate their molecular properties and cellular fate changes. By discovering the fundamental molecular characteristics of these cells, it may be possible to harness their functional characteristics for skeletal growth and regeneration. Here, we discuss our current understanding of the molecular signatures defining growth plate chondrocytes.

Exploring regulatory networks in plants: transcription factors of starch metabolism.

Biological networks are complex (non-linear), redundant (cyclic) and compartmentalized at the subcellular level. Rational manipulation of plant metabolism may have failed due to inherent difficulties of a comprehensive understanding of regulatory loops. We first need to identify key factors controlling the regulatory loops of primary metabolism. The paradigms of plant networks are revised in order to highlight the differences between metabolic and transcriptional networks. Comparison between animal and plant transcription factors (TFs) reveal some important differences. Plant transcriptional networks function at a lower hierarchy compared to animal regulatory networks. Plant genomes contain more TFs than animal genomes, but plant proteins are smaller and have less domains as animal proteins which are often multifunctional. We briefly summarize mutant analysis and co-expression results pinpointing some TFs regulating starch enzymes in plants. Detailed information is provided about biochemical reactions, TFs and cis regulatory motifs involved in sucrose-starch metabolism, in both source and sink tissues. Examples about coordinated responses to hormones and environmental cues in different tissues and species are listed. Further advancements require combined data from single-cell transcriptomic and metabolomic approaches. Cell fractionation and subcellular inspection may provide valuable insights. We propose that shuffling of promoter elements might be a promising strategy to improve in the near future starch content, crop yield or food quality.

Abstract 3777: Exploring phenotypic mosaicism in a mouse model of glioma towards understanding intratumoral heterogeneity

Abstract The lethality of glioblastoma multiforme (GBM) and the failure of treatment is largely attributable to the heterogeneous properties of this cancer. We aim specifically to characterize the driving event for GBMs to acquire a heterogeneous phenotype during progression. Central to achieving this goal is the ability to interrogate possible sources of heterogeneity that guide cellular states that are similar to those identified in human patients. We therefore employ a mouse model of glioma that recapitulates the pathophysiology and gene expression signatures of human GBM. While initiated with identical oncogenic drivers, this mouse model unexpectedly displays heterogeneous phenotypes between animals. Our preliminary data using time-series single-cell transcriptomics approach shows that transformed cells, even without acquiring additional genetic alterations, switch cellular states at the beginning of tumor formation and one population commit themselves to expand to establish gliomas that are mainly comprised of one cell type. We further observe the strong association of microenvironmental cues with glioma cell populations and their roles in the state transitioning of glioma cells. Through the characterization of mechanisms that drive phenotypic mosaicism, we hope to uncover general principles that govern tumor progression and heterogeneity, and then ultimately provide novel therapeutic strategies to cure GBM. Citation Format: Toshiro Hara. Exploring phenotypic mosaicism in a mouse model of glioma towards understanding intratumoral heterogeneity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3777.