EPCO-27. SINGLE-CELL ANALYSIS OF ETMR PATIENT SAMPLES LINKS TRANSCRIPTIONAL PHENOTYPES TO GENETIC DRIVER ALTERATIONS AND INFORMS NOVEL THERAPEUTIC STRATEGIES

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi7-vi8
Author(s):  
Volker Hovestadt ◽  
Alexander Beck ◽  
Sander Lambo ◽  
McKenzie Shaw ◽  
Olivia A Hack ◽  
...  

Abstract Embryonal tumor with multilayered rosettes (ETMR) is a malignant brain tumor that typically occurs in children under the age of three. Most patients die within two years of diagnosis, and more effective, targeted therapies are urgently needed. To better characterize the oncogenic mechanisms of key driver alterations and identify novel therapeutic targets, we studied the cellular heterogeneity of ETMR using single-cell RNA sequencing. Analyses conducted on >3,000 high-quality cells collected from ten primary and relapse specimens revealed a common cellular hierarchy across all tumors: A highly proliferative neural stem cell-like population (SOX2+) gives rise to intermediate progenitors (ASCL1+) and more differentiated neuron-like cells (STMN2/4+). These malignant populations closely match histological patterns of ETMR (i.e. rosettes, neuropil), as observed by immunofluorescence microscopy. Comparison to single-cell datasets from human embryos indicates resemblance to cell populations of the developing brain, but also reveals key ETMR-specific differences, including expression of the chromosome 19 miRNA cluster (C19MC, the presumed genetic driver of most ETMRs), which is restricted to the stem cell-like population. We next investigated if targeting C19MC is a viable strategy to disrupt the cellular hierarchy of ETMR. Silencing with antisense oligonucleotides shows pronounced reduction of cell line growth for a specific subset of the 46 members of C19MC. These miRNAs share seed sequences with evolutionary conserved miRNAs that have been shown to regulate pluripotency and self-renewal of embryonic stem cells. We hypothesize that select C19MC members play similar roles in ETMR and represent bona fide targets for therapeutic targeting using antisense technology.

2021 ◽  
Vol 22 (11) ◽  
pp. 5988
Author(s):  
Hyun Kyu Kim ◽  
Tae Won Ha ◽  
Man Ryul Lee

Cells are the basic units of all organisms and are involved in all vital activities, such as proliferation, differentiation, senescence, and apoptosis. A human body consists of more than 30 trillion cells generated through repeated division and differentiation from a single-cell fertilized egg in a highly organized programmatic fashion. Since the recent formation of the Human Cell Atlas consortium, establishing the Human Cell Atlas at the single-cell level has been an ongoing activity with the goal of understanding the mechanisms underlying diseases and vital cellular activities at the level of the single cell. In particular, transcriptome analysis of embryonic stem cells at the single-cell level is of great importance, as these cells are responsible for determining cell fate. Here, we review single-cell analysis techniques that have been actively used in recent years, introduce the single-cell analysis studies currently in progress in pluripotent stem cells and reprogramming, and forecast future studies.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rongxin Fang ◽  
Sebastian Preissl ◽  
Yang Li ◽  
Xiaomeng Hou ◽  
Jacinta Lucero ◽  
...  

AbstractIdentification of the cis-regulatory elements controlling cell-type specific gene expression patterns is essential for understanding the origin of cellular diversity. Conventional assays to map regulatory elements via open chromatin analysis of primary tissues is hindered by sample heterogeneity. Single cell analysis of accessible chromatin (scATAC-seq) can overcome this limitation. However, the high-level noise of each single cell profile and the large volume of data pose unique computational challenges. Here, we introduce SnapATAC, a software package for analyzing scATAC-seq datasets. SnapATAC dissects cellular heterogeneity in an unbiased manner and map the trajectories of cellular states. Using the Nyström method, SnapATAC can process data from up to a million cells. Furthermore, SnapATAC incorporates existing tools into a comprehensive package for analyzing single cell ATAC-seq dataset. As demonstration of its utility, SnapATAC is applied to 55,592 single-nucleus ATAC-seq profiles from the mouse secondary motor cortex. The analysis reveals ~370,000 candidate regulatory elements in 31 distinct cell populations in this brain region and inferred candidate cell-type specific transcriptional regulators.


2021 ◽  
Vol 8 (8) ◽  
pp. 2004320
Author(s):  
Hua Wang ◽  
Peng Gong ◽  
Tong Chen ◽  
Shan Gao ◽  
Zhenfeng Wu ◽  
...  

2017 ◽  
Vol 371 (1) ◽  
pp. 171-179 ◽  
Author(s):  
Lise J. Harbom ◽  
Nadine Michel ◽  
Michael J. McConnell

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii323-iii323
Author(s):  
Flavia W de Faria ◽  
Marta Interlandi ◽  
Natalia Moreno ◽  
Monika Graf ◽  
Viktoria Melcher ◽  
...  

Abstract Embryonal tumors with multilayered rosettes (ETMR) are deadly brain malignancies affecting young children. No standard treatment is available and the median survival is less than 12 months. Molecularly, the disease is characterized by the miRNA C19MC cluster amplification, with the expression of multiples miRNAs related to a stem cell program. The discoveries on the purely molecular mechanisms of the disease did not help to create a bridge for new treatment strategies so far and the cellular diversity of ETMR remains poorly understood. In this study, we used single-cell RNA sequencing of murine and human tumors to describe ETMR cellular heterogeneity. Our findings support that intra-tumoral heterogeneity is mainly characterized by 4 cellular programs defining a developmental hierarchy related to different metabolic states: 1) Early quiescent NSC-like cells supported by fatty-acid oxidation 2) Late NSC and NP-like proliferative cells fueled by glycolytic metabolism; 3) Post-mitotic neuroblast-like cells, relying on oxidative-phosphorylation; 4) NSC-like proliferative cells, with metabolic plasticity and capable of performing the three types of metabolism. Tumor-specific ligand-receptor interaction analysis revealed that ETMR exchange with microglia and vascular mural cells (MC) signals related to extracellular matrix (ECM) organization (Cxcl12-CxCr4), stem cell signaling (BMPs-BMP receptors), anti-apoptosis and survival (Ntf3-Ntrk), not seen in the control brain. In addition, the vascular MC showed a cancer-associated fibroblast (CAF) phenotype, with potential prognostic implications, as previously demonstrated for other tumors. This study provides new findings to build up a more robust understanding of ETMR biology and opens space for further studies in the field.


2020 ◽  
Author(s):  
N. Kakava-Georgiadou ◽  
J.F. Severens ◽  
A.M. Jørgensen ◽  
K.M. Garner ◽  
M.C.M Luijendijk ◽  
...  

AbstractHypothalamic nuclei which regulate homeostatic functions express leptin receptor (LepR), the primary target of the satiety hormone leptin. Single-cell RNA sequencing (scRNA-seq) has facilitated the discovery of a variety of hypothalamic cell types. However, low abundance of LepR transcripts prevented further characterization of LepR cells. Therefore, we perform scRNA-seq on isolated LepR cells and identify eight neuronal clusters, including three uncharacterized Trh-expressing populations as well as 17 non-neuronal populations including tanycytes, oligodendrocytes and endothelial cells. Food restriction had a major impact on Agrp neurons and changed the expression of obesity-associated genes. Multiple cell clusters were enriched for GWAS signals of obesity. We further explored changes in the gene regulatory landscape of LepR cell types. We thus reveal the molecular signature of distinct populations with diverse neurochemical profiles, which will aid efforts to illuminate the multi-functional nature of leptin’s action in the hypothalamus.


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