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TWIGA

Financiado

Tissue wide identification of genome alterations in cancer

We aim to develop the first generation of spatially resolved DNA methodologies to uncover the underlaying molecular landscape of cancer genomes in tissues. Our efforts will focus on a novel genome-wide technology to study genomic... ver más

30/09/2026

KTH

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-07-12

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

ERC-2020-ADG: ERC ADVANCED GRANT

I+D

Cerrada hace 4 años

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2 Participantes

KTH

2.63M€ | Lider

SAPA PROFILES NAVARRA, S.L.

531.76K€ | Participante

Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 62 meses Fecha Inicio: 2021-07-12
Fecha Fin: 2026-09-30

Líder del proyecto

KUNGLIGA TEKNISKA HOEGSKOLAN

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto We aim to develop the first generation of spatially resolved DNA methodologies to uncover the underlaying molecular landscape of cancer genomes in tissues. Our efforts will focus on a novel genome-wide technology to study genomic integrity in its spatial context, currently a major challenge in the field. The research program is based on developing new experimental protocols and new computational analysis methods. We aim to demonstrate the utility of the method in cancer applications focusing on prostate and breast cancer that display genomic alterations with hallmarks of multiclonality, amplifications and gene fusions. We have previously demonstrated the Spatial Transcriptomics (ST) technology to successfully resolve the transcriptomic landscapes of tissue sections in situ. This was the first demonstrated method to provide transcriptome-wide analysis in a spatial tissue context (Ståhl et al, 2016, review by Asp et al 2020). With the establishment of the technology we have been able to develop advanced computational strategies to explore spatially barcoded transcriptomes. We have, in a series of papers, demonstrated the value and impact to capture and link gene expression information to morphology. For example, we have employed our know-how in (i) cell atlas projects (Asp et al, 2019; Ortiz et al, 2020) (ii) understanding temporal aspects of neurological disease (Maniatis et al, 2019, Chen et al, 2020) (iii) deconvoluting the heterogeneity in cancer (Berglund et al, 2018, Ji et al, 2020). This ambitious proposal seeks to pioneer the use of the tools to perform tissue-wide identification of genomic alterations in cancer (TWIGA) through spatial barcoding on glass slides. This effort will enable us to, in an unsupervised manner, describe genomes in tissue sections for the first time. We are convinced that an increased knowledge of genomic alterations in situ will improve our understanding of cancer from precancer conditions to malignancy and spread.

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