Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

CAtS

Financiado

Cerrado

Deciphering the developmental roots of childhood sarcoma cells combining singl...

Deciphering the developmental roots of childhood sarcoma cells combining single cell sequencing technologies and machine learning Each year more than 35,000 European children and young people are diagnosed with cancer. Childhood cancer remains a major public health and socioeconomic issue in Europe and around the world. Cancer arises when a single cell trans... ver más

08/11/2022

GRL

225K€

Presupuesto del proyecto: 225K€

Líder del proyecto

GENOME RESEARCH LIMITED No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-11-08

MSCA-IF-2019: Individual Fellowships

I+D

Cerrada hace 5 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

GRL

224.93K€ | Lider

Proyectos interesantes

EQC2018-005144-P

Medical Technol...

Data Science

168K€ Cerrado

SELNET

Medical Technol...

Data Science

3M€ Cerrado

CLLRISK

Medical Technol...

Data Science

230K€ Cerrado

BASIS

Medical Technol...

Data Science

14M€ Cerrado

PID2021-126718OA-I00

Medical Technol...

Data Science

115K€ Cerrado

SIOMICS

Medical Technol...

Data Science

195K€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 30 meses Fecha Inicio: 2020-04-28
Fecha Fin: 2022-11-08

Líder del proyecto

GENOME RESEARCH LIMITED No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 225K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Each year more than 35,000 European children and young people are diagnosed with cancer. Childhood cancer remains a major public health and socioeconomic issue in Europe and around the world. Cancer arises when a single cell transforms and divides uncontrollably, resulting in a malignant mass of tumour cells. To study cancer, we must understand how these normal cells change. Our current understanding of how normal cells vary across the many tissues of our body is poorly understood. Child development represents a unique challenge in understanding our cells, as children’s bodies change at a cellular level entirely different than adults. This is reflected in the spectrum of cancers diagnosed in children compared to adults, particularly in bone and soft tissue cancers (sarcomas) where they present in less than 1% of adults' cancers and nearly 21% of children's cancers. With the advent of high-throughput single-cell RNA sequencing (scRNA-seq), it is now possible to analyze cell populations at remarkable scale and resolution. The primary purpose of this project is to use scRNA-seq to reconstruct the phylogenetic cellular lineage of childhood and adult sarcomas, and corresponding normal tissue. This fellowship aims to (1) discover and define differences between normal and cancer cell biology at single-cell resolution and (2) use machine learning to determine the cell type (cell-of-origin), the somatic changes and transcriptional trajectories of normal cells that lead to malignant transformation in children compared to adults. This project represents the highest resolution map of the intratumour genetic heterogeneity and clonal evolution of sarcoma ever produced. Another outcome of this project will be a reference map of all of the somatic mutations and expression profiles of normal bone and cartilaginous tissue. This will be a pivotal resource for the global research community - the ‘Bone’ and ‘Cartilage’ branches of the ‘Developmental Human Cell Atlas’.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores