Single-cell Transcriptomic Studies Research Articles

New Insight into Intestinal Mast Cells Revealed by Single-Cell RNA Sequencing

Mast cells (MCs) are tissue-resident immune cells distributed in all tissues and strategically located close to blood and lymphatic vessels and nerves. Thanks to the expression of a wide array of receptors, MCs act as tissue sentinels, able to detect the presence of bacteria and parasites and to respond to different environmental stimuli. MCs originate from bone marrow (BM) progenitors that enter the circulation and mature in peripheral organs under the influence of microenvironment factors, thus differentiating into heterogeneous tissue-specific subsets. Even though MC activation has been traditionally linked to IgE-mediated allergic reactions, a role for these cells in other pathological conditions including tumor progression has recently emerged. However, several aspects of MC biology remain to be clarified. The advent of single-cell RNA sequencing platforms has provided the opportunity to understand MCs’ origin and differentiation as well as their phenotype and functions within different tissues, including the gut. This review recapitulates how single-cell transcriptomic studies provided insight into MC development as well as into the functional role of intestinal MC subsets in health and disease.

Carboxypeptidase M modulates BMSCs osteogenesis-adipogenesis via the MAPK/ERK pathway: Anintegrated single-cell and bulk transcriptomic study.

The pathogenesis of osteoporosis (OP) is closely associated with the disrupted balance between osteogenesis and adipogenesis in bone marrow-derived mesenchymal stem cells (BMSCs). We analyzed published single-cell RNA sequencing (scRNA-seq) data to dissect the transcriptomic profiles of bone marrow-derived cells in OP, reviewing 56 377 cells across eight scRNA-seq datasets from femoral heads (osteoporosis or osteopenia n = 5, osteoarthritis n = 3). Seventeen genes, including carboxypeptidase M (CPM), were identified as key osteogenesis-adipogenesis regulators through comprehensive gene set enrichment, differential expression, regulon activity, and pseudotime analyses. Invitro, CPM knockdown reduced osteogenesis and promoted adipogenesis in BMSCs, while adenovirus-mediated CPM overexpression had the reverse effects. Invivo, intraosseous injection of CPM-overexpressing BMSCs mitigated bone loss in ovariectomized mice. Integrated scRNA-seq and bulk RNA sequencing analyses provided insight into the MAPK/ERK pathway's role in the CPM-mediated regulation of BMSC osteogenesis and adipogenesis; specifically, CPM overexpression enhanced MAPK/ERK signaling and osteogenesis. In contrast, the ERK1/2 inhibitor binimetinib negated the effects of CPM overexpression. Overall, our findings identify CPM as a pivotal regulator of BMSC differentiation, which provides new clues for the mechanistic study of OP.

Systematic evaluation of single-cell RNA-seq analyses performance based on long-read sequencing platforms

IntroductionThe rapid development of next-generation sequencing (NGS)-based single-cell RNA sequencing (scRNA-seq) allows for detecting and quantifying gene expression in a high-throughput manner, providing a powerful tool for comprehensively understanding cellular function in various biological processes. However, the NGS-based scRNA-seq only quantifies gene expression and cannot reveal the exact transcript structures (isoforms) of each gene due to the limited read length. On the other hand, the long read length of third-generation sequencing (TGS) technologies, including Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio), enable direct reading of intact cDNA molecules. ObjectivesBoth ONT and PacBio have been used in conjunction with scRNA-seq, but their performance in single-cell analyses has not been systematically evaluated. MethodsTo address this, we generated ONT and PacBio data from the same single-cell cDNA libraries containing different amount of cells. ResultsUsing NGS as a control, we assessed the performance of each platform in cell type identification. Additionally, the reliability in identifying novel isoforms and allele-specific gene/isoform expression by both platforms was verified, providing a systematic evaluation to design the sequencing strategies in single-cell transcriptome studies. ConclusionBeyond gene expression analysis, which the NGS-based scRNA-seq only affords, TGS-based scRNA-seq achieved gene splicing analyses, identifying novel isoforms. Attribute to higher sequencing quality of PacBio, it outperforms ONT in accuracy of novel transcripts identification and allele-specific gene/isoform expression.

Heterogeneous characterization of neutrophilic cells in head and neck cancers.

Neutrophilic cells are among the most abundant immune populations within the head and neck tumor microenvironment (TME) and harbor multiple mechanisms of immunosuppression. Despite these important features, neutrophilic cells may be underrepresented in contemporary studies that aim to comprehensively characterize the immune landscape of the TME due to discrepancies in tissue processing and analysis techniques. Here, we review the role of pathologically activated neutrophilic cells within the TME and pitfalls of various approaches used to study their frequency and function in clinical samples. The literature was identified by searching PubMed for "immune landscape" and "tumor immune microenvironment" in combination with keywords describing solid tumor malignancies. Key publications that assessed the immune composition of solid tumors derived from human specimens were included. The tumor and blood processing methodologies in each study were reviewed in depth and correlated with the reported abundance of neutrophilic cells. Neutrophilic cells do not survive cryopreservation, and many studies fail to identify and study neutrophilic cell populations due to cryopreservation of clinical samples for practical reasons. Additional single-cell transcriptomic studies filter out neutrophilic cells due to low transcriptional counts. This report can help readers critically interpret studies aiming to comprehensively study the immune TME that fail to identify and characterize neutrophilic cells.

Human CD56+CD39+ dNK cells support fetal survival through controlling trophoblastic cell fate: immune mechanisms of recurrent early pregnancy loss

Abstract Decidual natural killer (dNK) cells are the most abundant immune cells at early stage of pregnancy in rodents and humans, and emerging single-cell transcriptomic studies have uncovered various human dNK subsets that are disrupted in patients experiencing recurrent early pregnancy loss (RPL) at early gestational stage, suggesting a connection between abnormal proportions or characteristics of dNK subsets and RPL pathogenesis. However, the functional mechanisms underlying this association remain unclear. Here, we established a mouse model by adoptively transferring human dNK cells into pregnant NOG (NOD/Shi-scid/IL-2Rγnull) mice, where human dNK cells predominantly homed into the uteri of recipients. Using this model, we observed a strong correlation between the properties of human dNK cell and the outcomes of pregnancy. The transfer of dNK cells from RPL patients (dNK-RPL) remarkably worsened early pregnancy loss and impaired placental trophoblast cell differentiation in the recipients. These adverse effects were effectively reversed by transferring CD56+CD39+dNK cells. Mechanical studies revealed that CD56+CD39+ dNK subset facilitate early differentiation of mouse trophoblast stem cells (mTSCs) towards both invasive and syncytial pathways through secreting macrophage colony-stimulating factor (M-CSF). Administration of recombinant M-CSF to NOG mice transferred with dNK-RPL efficiently rescued the exacerbated pregnancy outcomes and fetal/placental development. Collectively, this study established a novel humanized mouse model featuring functional human dNK cells homing into the uteri of recipients and uncovered the pivotal role of M-CSF in fetal-supporting function of CD56+CD39+ dNK cells during early pregnancy, highlighting that M-CSF may be a previously unappreciated therapeutic target for intervening RPL.

Overcoming barriers to single-cell RNA sequencing adoption in low- and middle-income countries.

The advent of single-cell resolution sequencing and spatial transcriptomics has enabled the delivery of cellular and molecular atlases of tissues and organs, providing new insights into tissue health and disease. However, if the full potential of these technologies is to be equitably realised, ancestrally inclusivity is paramount. Such a goal requires greater inclusion of both researchers and donors in low- and middle-income countries (LMICs). In this perspective, we describe the current landscape of ancestral inclusivity in genomic and single-cell transcriptomic studies. We discuss the collaborative efforts needed to scale the barriers to establishing, expanding, and adopting single-cell sequencing research in LMICs and to enable globally impactful outcomes of these technologies.

Abstract 314: Fixative eXchange (FX)-seq reveals single nucleus transcriptional landscapes of archived clinical cancer FFPE specimens

Abstract The wide availability of FFPE tissues stored in hospitals and biobanks could potentially be an invaluable resource to gain insights for improved medical treatment towards precision medicine by combining genomic and transcriptomic data with pathological annotations and medical records. Nevertheless, the majority of current single-cell sequencing methods depend on fresh or fresh-frozen samples to generate high-quality transcriptome data due to the limited reverse transcription (RT) yields in FFPE samples. Consequently, single-cell level transcriptomic studies of FFPE samples have been a longstanding challenge. Here, we present Fixative-eXchange (FX)-seq, a highly scalable snRNA-seq method for heavily paraformaldehyde (PFA)-fixed and/or FFPE samples. We successfully analyzed a total of nearly 320k nuclei from various samples, including PFA-fixed tissue, FFPE blocks, FFPE and hematoxylin and eosin (H&E)-stained sections from mouse brain and human clinical cancer specimens. In a human gastrointestinal stromal tumor (GIST) FFPE sample, we observed rare transcriptomic transitions toward increased epigenetic modifications affected by acquired resistance in response to prolonged imatinib treatment. Furthermore, in an archived human colorectal cancer (CRC) FFPE sample, spatially-contextualized FX-seq with pathologist annotation distinguishes tumor cells from epithelial progenitors along with identification of the tumor microenvironment (TME) such as cancer-associated fibroblasts (CAFs). We then proceeded to investigate transcriptional programs associated with drug resistance and lack of response in immunotherapy observed in CRC patients. With a hypothesis-driven curation, we compared transcription profiles at the single-nucleus level observed in MSS and MSI-H CRC patients from archived FFPE blocks and found distinctive transcriptional profiles from each group. Overall, FX-seq holds promise for clinical research, precision medicine, biomarker discovery, and molecular diagnosis using archived clinical FFPE specimens. Citation Format: Han-Eol Park, Yu Tak Lee, Jaewon Lee, Junsuk Lee, Hyelin Ji, Young-Lan Song, Yoon Dae Han, Hyunki Kim, Chang Ho Sohn. Fixative eXchange (FX)-seq reveals single nucleus transcriptional landscapes of archived clinical cancer FFPE specimens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 314.

Elucidating immune cell dynamics in chronic lung allograft dysfunction: A comprehensive single-cell transcriptomic study

Chronic Lung Allograft Dysfunction (CLAD) is a critical post-transplant complication that predominantly determines the long-term survival rates and quality of life of patients undergoing lung transplantation. The limited efficacy of current immunosuppressive strategies underscores our incomplete understanding of the immunological aspects of CLAD. Hence, there is an urgent need for more comprehensive and targeted research to unravel the complex interplay of immune cells in the development and progression of CLAD. This study conducts an in-depth analysis of the immune environment in CLAD. By examining the gene expression profiles of T cells, natural killer cells, B cells, macrophages, and monocytes, we have elucidated a unique immunological landscape in CLAD compared to healthy controls. We highlight the heterogeneity within the immune populations and provide a comprehensive understanding of the immune mechanisms driving CLAD. Enrichment analysis identified specific pathways that are either overactive or suppressed in CLAD, revealing potential molecular targets for therapeutic intervention. Our findings emphasize the crucial role of T cells in the pathophysiology of CLAD, coordinating the immune response and revealing an amplified immune cell network, potentially leading to maladaptive tissue responses. By integrating a comprehensive cellular and molecular portrait of the immune environment, our research not only deepens our understanding of the pathogenesis of CLAD but also lays a foundational approach for the development of targeted therapies.

Diverse physiological roles of the MqsR/MqsA toxin/antitoxin system

Abstract There is tremendous interest in the use of bacteriophages (phages) to combat multi-drug resistant bacteria. However, to implement successfully phage therapy, host defense systems must be understood. Toxin/antitoxins (TAs) are the most prevalent phage defense system, and the MqsR/MqsA TA system is one of the best-studied systems. This phage-defense system was discovered in a whole-cell, population-averaged, transcriptome study designed to elucidate the biofilm-related genes of Escherichia coli in 2004. Biofilms are cells cemented to themselves or to surfaces. Since its characterization (as of April 2024), MqsR/MqsA has been utilized in over 1200 manuscripts, although its role in cell physiology has been contested. Here, we summarize the important physiological roles of this TA system, including its role in (i) the general stress response via repression of rpoS, (ii) biofilm formation via repression of csgA, (iii) combating bile acid stress in the gastrointestinal tract by inhibiting uptake of the bile salt deoxycholate, (iv) oxidative stress based on single-cell transcriptome studies, and (v) phage defense leading to the persister state.

Signaling Pathway Alterations Driven by BRCA1 and BRCA2 Germline Mutations are Sufficient to Initiate Breast Tumorigenesis by the PIK3CAH1047R Oncogene.

This study provides a single-cell atlas of breast tissues of BRCA1/2 mutation carriers and demonstrates that aberrant signaling due to BRCA1/2 mutations is sufficient to initiate breast cancer by mutant PIK3CA.

Analysis of brain and blood single-cell transcriptomics in acute and subacute phases after experimental stroke.

Cerebral ischemia triggers a powerful inflammatory reaction involving peripheral leukocytes and brain resident cells that contribute to both tissue injury and repair. However, their dynamics and diversity remain poorly understood. To address these limitations, we performed a single-cell transcriptomic study of brain and blood cells 2 or 14 days after ischemic stroke in mice. We observed a strong divergence of post-ischemic microglia, monocyte-derived macrophages and neutrophils over time, while endothelial cells and brain-associated macrophages showed altered transcriptomic signatures at 2 days poststroke. Trajectory inference predicted the in situ trans-differentiation of macrophages from blood monocytes into day 2 and day 14 phenotypes, while neutrophils were projected to be continuously de novo recruited from the blood. Brain single-cell transcriptomes from both female and male aged mice were similar to that of young male mice, but aged and young brains differed in their immune cell composition. Although blood leukocyte analysis also revealed altered transcriptomes after stroke, brain-infiltrating leukocytes displayed higher transcriptomic divergence than their circulating counterparts, indicating that phenotypic diversification occurs within the brain in the early and recovery phases of ischemic stroke. A portal ( https://anratherlab.shinyapps.io/strokevis/ ) is provided to allow user-friendly access to our data.

A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation

BackgroundThe coordinated transcriptional regulation of activated T-cells is based on a complex dynamic behavior of signaling networks. Given an external stimulus, T-cell gene expression is characterized by impulse and sustained patterns over the course. Here, we analyze the temporal pattern of activation across different T-cell populations to develop consensus gene signatures for T-cell activation.ResultsHere, we identify and verify general biomarker signatures robustly evaluating T-cell activation in a time-resolved manner. We identify time-resolved gene expression profiles comprising 521 genes of up to 10 disjunct time points during activation and different polarization conditions. The gene signatures include central transcriptional regulators of T-cell activation, representing successive waves as well as sustained patterns of induction. They cover sustained repressed, intermediate, and late response expression rates across multiple T-cell populations, thus defining consensus biomarker signatures for T-cell activation. In addition, intermediate and late response activation signatures in CAR T-cell infusion products are correlated to immune effector cell-associated neurotoxicity syndrome.ConclusionThis study is the first to describe temporally resolved gene expression patterns across T-cell populations. These biomarker signatures are a valuable source, e.g., monitoring transcriptional changes during T-cell activation with a reasonable number of genes, annotating T-cell states in single-cell transcriptome studies, or assessing dysregulated functions of human T-cell immunity.

Adipose Tissue Inflammation: Linking Physiological Stressors to Disease Susceptibility.

The study of adipose tissue (AT) is enjoying a renaissance. White, brown, and beige adipocytes are being investigated in adult animals, and the critical roles of small depots like perivascular AT are becoming clear. But the most profound revision of the AT dogma has been its cellular composition and regulation. Single-cell transcriptomic studies revealed that adipocytes comprise well under 50% of the cells in white AT, and a substantial portion of the rest are immune cells. Altering the function of AT resident leukocytes can induce or correct metabolic syndrome and, more surprisingly, alter adaptive immune responses to infection. Although the field is dominated by obesity research, conditions such as rapid lipolysis, infection, and heat stress impact AT immune dynamics as well. Recent findings in rodents lead to critical questions that should be explored in domestic livestock as potential avenues for improved animal resilience to stressors, particularly as animals age.

A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study.

Cell clustering is typically the initial step in single-cell RNA sequencing (scRNA-seq) analyses. The performance of clustering considerably impacts the validity and reproducibility of cell identification. A variety of clustering algorithms have been developed for scRNA-seq data. These algorithms generate cell label sets that assign each cell to a cluster. However, different algorithms usually yield different label sets, which can introduce variations in cell-type identification based on the generated label sets. Currently, the performance of these algorithms has not been systematically evaluated in single-cell transcriptome studies. Herein, we performed a critical assessment of seven state-of-the-art clustering algorithms including four deep learning-based clustering algorithms and commonly used methods Seurat, Cosine-based Tanimoto similarity-refined graph for community detection using Leiden's algorithm (CosTaL) and Single-cell consensus clustering (SC3). We used diverse evaluation indices based on 10 different scRNA-seq benchmarks to systematically evaluate their clustering performance. Our results show that CosTaL, Seurat, Deep Embedding for Single-cell Clustering (DESC) and SC3 consistently outperformed Single-Cell Clustering Assessment Framework and scDeepCluster based on nine effectiveness scores. Notably, CosTaL and DESC demonstrated superior performance in clustering specific cell types. The performance of the single-cell Variational Inference tools varied across different datasets, suggesting its sensitivity to certain dataset characteristics. Notably, DESC exhibited promising results for cell subtype identification and capturing cellular heterogeneity. In addition, SC3 requires more memory and exhibits slower computation speed compared to other algorithms for the same dataset. In sum, this study provides useful guidance for selecting appropriate clustering methods in scRNA-seq data analysis.

CCRG-04. AUTOMATED REAL TIME TRACKING OF GLIOBLASTOMA CELL CYCLE TRANSITIONS IN ASSEMBLOIDS LINKS G2 CELLS TO INFILTRATION

Abstract Glioblastoma (GB) is the most aggressive primary brain tumour in adults associated with survival rates below 5% despite treatment. Tumour repopulating residual cells in the surgical cavity resist treatment due to their molecular heterogeneity. Single-cell transcriptomic studies have linked GB heterogeneity to the cell cycle; however, it remains unclear to what extent cell cycle states affect the infiltrative capacity of GB. The “go or grow” paradigm predicts that migration and proliferation are separate spatiotemporal events. We used a brain tumour-cerebral organoid (assembloid) approach to test the migratory potential of GB cell cycle phases during assembloid infiltration. Human induced pluripotent cells were differentiated into cerebral organoids that self-assemble with spheroids of patient-derived GB cells, expressing a fluorescent cell cycle reporter (FUCCI). Utilising live-cell confocal imaging, the process of GB assembloid infiltration was captured. Resultant videos were analysed with automated image analysis capable of tracking cell cycle transitions and cellular migration in confocal microscopy planes, enabling the longitudinal quantification of GB migration and invasion. Our analysis revealed a subset of highly infiltrative GB cells, containing a significant number of cycling G2 phase cells that demonstrated a ~1.4-fold increase in directional infiltrative capacity compared to their non cycling G1 phase counterparts. To isolate and characterize the G2 migratory GB cell state, we developed a phenotypic separation assay using microenvironmental cues. Specifically, we found that these cues markedly affect GB migration routes enabling the isolation of the highly migratory GB cells for further investigation. Our results question the “go or grow” hypothesis at the level of GB cellular subpopulations. We hypothesise that the observed G2 migratory capacity of GB cells could be critical to tumour recurrence following surgery. Further research is underway to define the underlying mechanisms of G2 GB cell migration.

Single-cell resolution of the adult zebrafish intestine under conventional conditions and in response to an acute Vibrio cholerae infection

Vibrio cholerae is an aquatic bacterium that causes severe and potentially deadly diarrheal disease. Despite the impact on global health, our understanding of host mucosal responses to Vibrio remains limited, highlighting a knowledge gap critical for the development of effective prevention and treatment strategies. Using a natural infection model, we combine physiological and single-cell transcriptomic studies to characterize conventionally reared adult zebrafish guts and guts challenged with Vibrio. We demonstrate that Vibrio causes a mild mucosal immune response characterized by Tcell activation and enhanced antigen capture; Vibrio suppresses host interferon signaling; and ectopic activation of interferon alters the course of infection. We show that the adult zebrafish gut shares similarities with mammalian counterparts, including the presence of Best4+ cells, tuft cells, and a population of basal cycling cells. These findings provide important insights into host-pathogen interactions and emphasize the utility of zebrafish as a natural model of Vibrio infection.

MZB1-expressing cells are essential for local immunoglobulin production in chronic rhinosinusitis with nasal polyps

BackgroundThe expression of MZB1 genes is significantly elevated in patients who have chronic rhinosinusitis with nasal polyp (CRSwNP) disease compared with healthy controls. ObjectiveTo characterize MZB1-positive B cells in CRSwNP and to estimate the contribution of distinct subsets of B cells to the local overproduction of immunoglobulins. MethodsSingle-cell RNA-sequencing with Cellular Indexing of Transcriptomes and Epitopes by Sequencing technology, Switching Mechanism At the 5′ end of RNA Template sequencing, flow cytometry, immunohistochemistry and immunofluorescence staining, Western blot, QuantiGene Plex assay, B-cell ImmunoSpot assay, Luminex assay, and enzyme-linked immunosorbent assay were performed. ResultsSignificantly higher mRNA expression of MZB1 and HSP90B1 was found in type 2 CRSwNP compared with controls. In CRSwNP, MZB1 expression correlated with the local production of IgE. MZB1 could be colocalized with plasma and mature B cells, especially marginal zone (MZ) B cells. Single-cell transcriptome and epitope studies revealed prominent populations of B cells in type 2 CRSwNP with unexpectedly high MZB1 gene expression. The MZ B-cell population was significantly increased in CRSwNP compared with healthy controls in both peripheral blood mononuclear cells and nasal tissue single-cell suspensions. When those single cells were cultured overnight, the MZ B-cell numbers were positively correlated with local IgE production but negatively correlated with local IgM production. In vitro, MZB1 stimulation up-regulated the mRNA expression of IgE. ConclusionMZB1 was primarily expressed by plasma and mature B cells in nasal mucosa. MZB1 expression level was increased in CRSwNP compared with controls. MZB1 contributed to the local IgE production in type 2 CRSwNP.

Interindividual variation in human cortical cell type abundance and expression.

Single-cell transcriptomic studies have identified a conserved set of neocortical cell types from small postmortem cohorts. We extended these efforts by assessing cell type variation across 75 adult individuals undergoing epilepsy and tumor surgeries. Nearly all nuclei map to one of 125 robust cell types identified in the middle temporal gyrus. However, we found interindividual variance in abundances and gene expression signatures, particularly in deep-layer glutamatergic neurons and microglia. A minority of donor variance is explainable by age, sex, ancestry, disease state, and cell state. Genomic variation was associated with expression of 150 to 250 genes for most cell types. This characterization of cellular variation provides a baseline for cell typing in health and disease.

Single-cell characterization of neovascularization using hiPSC-derived endothelial cells in a 3D microenvironment.

The formation of vascular structures is fundamental for invitro tissue engineering. Vascularization can enable the nutrient supply within larger structures and increase transplantation efficiency. We differentiated human induced pluripotent stem cells toward endothelial cells in 3D suspension culture. To investigate invitro neovascularization and various 3D microenvironmental approaches, we designed a comprehensive single-cell transcriptomic study. Time-resolved single-cell transcriptomics of the endothelial and co-evolving mural cells gave insights into cell type development, stability, and plasticity. Transfer to a 3D hydrogel microenvironment induced neovascularization and facilitated tracing of migrating, coalescing, and tubulogenic endothelial cell states. During maturation, we monitored two pericyte subtypes evolving mural cells. Profiling cell-cell interactions between pericytes and endothelial cells revealed angiogenic signals during tubulogenesis. In silico discovered ligands were tested for their capability to attract endothelial cells. Our data, analyses, and results provide an invitro roadmap to guide vascularization in future tissue engineering.

P04.09.B UNCOVERING GROUP 4 MEDULLOBLASTOMA THROUGH HUMAN CEREBELLARORGANOIDS

Abstract BACKGROUND Central nervous system tumors are the second most prevalent cancers in the pediatric population and among them, medulloblastoma (MB) is the most common and malignant one. MB is divided in four major subgroups: WNT, SHH, group 3 and group 4. Despite this classification, recent studies have highlighted many genetic features shared between the last two subgroups making the patients’ stratification less distinct. Particularly, group 4 MB is the most common subtype, but the least understood. Single-cell transcriptomics studies identified Unipolar Brush Cells (UBCs) as putative cell of origin of group 4 MB subtype. Despite G4 MB being the most common subtype, there is still a paucity of models. In this scenario, my aim is to implement and adapt the cerebellar organoids experimental design already established by Ballabio et al. for G3 MB towards G4 MB modeling. MATERIAL AND METHODS We generated cerebellar organoids starting from human pluripotent stem cells. Thanks to the PiggyBac/transposon system and the CRISPR/CAS9 technology we electroporated organoids achieving putative genes’ overexpression and downregulation. Organoids were live-imaged weekly checking for proliferative cells clusters formation and, after having reached the tumorigenic phenotype, they were engrafted in nude mice. The classification of the tumor obtained is based on DNA methylation analysis. Immunostainings were performed on mice cerebella and organoids to identify their cell types. RESULTS Because of the aggressiveness and the lack of knowledge of G4 MB, we focused on the development of a cerebellar organoids-based model genetically modified to achieve the tumorigenic phenotype. We studied the best time window in which Tbr2+ (UBCs marker) cells are most present in organoids, deciding to electroporate them at day 70 of differentiation. Based on RNA-seq data of G4 MB patients, organoids were modified with different combinations of genetic alterations. Interestingly, some of them showed the appearance of hyperproliferating engineered cells forming clusters. However, only the co-overexpression of MYCN and Otx2 developed a tumor when engrafted in nude mice. The following DNA methylation analysis attributed the tumor to G3 MB. Hence the need to clone the hTbr2 promoter to guide the expression of oncogenes through a Cre-LoxP system in the UBCs neural progenitors. We confirmed the new promoter specificity through an immunofluorescent quantitative analysis and then performed the genetic screening mentioned above to compare the outcome with our previous results. CONCLUSION Despite the timing, the mutational screening performed did not show the expected outcome: since G3 and G4 have common genetic features, we can’t rely on the strong ubiquitous non-specific promoter (CAG). Hence, we suppose that the hTbr2 promoter-guided gene expression could be the promising way toward G4 MB modeling.