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GBM_Cellular_States

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Deciphering and targeting cellular states in glioblastoma

Cellular heterogeneity is a fundamental property of glioblastoma (GBM) tumors and presents a major barrier for therapeutics. During the past six years we characterized this heterogeneity in glioblastoma, and in other types of glio... ver más

30/04/2027

WEIZMANN

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

WEIZMANN INSTITUTE OF SCIENCE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-04-26

ERC-2021-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

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Cerrada hace 3 años

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3 Participantes

WEIZMANN

1.96M€ | Lider

THE GENERAL HOSPITAL CORPORA...

37.50K€ | Participante

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Duración del proyecto: 60 meses Fecha Inicio: 2022-04-26
Fecha Fin: 2027-04-30

Líder del proyecto

WEIZMANN INSTITUTE OF SCIENCE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Cellular heterogeneity is a fundamental property of glioblastoma (GBM) tumors and presents a major barrier for therapeutics. During the past six years we characterized this heterogeneity in glioblastoma, and in other types of glioma, using single cell RNA-seq (scRNA-seq). We found consistent patterns of heterogeneity across patients, such that each tumor harbors multiple subpopulations of cells that resemble neurodevelopmental cell types. The consistency of these cellular states across patients highlights their potential clinical significance. Yet, our understanding of how these common states are regulated and of how distinct states respond, individually or in combinations, to potential treatments, remain poorly understood. Furthermore, it is unclear if additional states of clinical significance remain to be uncovered. To address these challenges, we will perform extensive studies of GBM patient samples, animal models and gliomasphere culture models. First, we will dissect the regulation of the common cellular states (Aim 1). Single cell ATAC-seq of patient samples will be used to infer transcriptional regulators, Spatial Transcriptomics will be used to infer environmental interactions, and resulting predictions will be tested further in established model systems. Second, we will search for novel cellular states, including rare states or those specifically associated with invasion to the brain parenchyma (Aim 2). Third, we will examine strategies for treatment of heterogenous tumors that are composed of multiple states (Aim 3). We will screen for state-specific drug sensitivities, as well as for drugs that induce state transitions, and develop rational combinations to eliminate multiple co-existing states, while considering interactions among states. Taken together, these studies will considerably expand our understanding of cancer heterogeneity and develop strategies to target heterogeneous tumors.

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