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MOSAIC

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Relationship of Somatic Structural Variation Mosaicism to Aging and Disease Phen...

Advances in DNA sequencing technology, enabling routine genetic variation studies, have uncovered that genomic structural variants (SVs; e.g. deletions and inversions) account for most varying bases in human genomes. SVs are also... ver más

31/03/2024

EMBL

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

EUROPEAN MOLECULAR BIOLOGY LABORATORY No se ha especificado una descripción o un objeto social para esta compañía.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-03-31

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

ERC-2017-COG: ERC Consolidator Grant

I+D

Cerrada hace 7 años

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2 Participantes

EMBL

2.00M€ | Lider

SECANIM BIO-INDUSTRIES

769.39K€ | 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: 71 meses Fecha Inicio: 2018-04-26
Fecha Fin: 2024-03-31

Presupuesto del proyecto 2M€

Descripción del proyecto Advances in DNA sequencing technology, enabling routine genetic variation studies, have uncovered that genomic structural variants (SVs; e.g. deletions and inversions) account for most varying bases in human genomes. SVs are also disproportionally associated with disease phenotypes when compared to single nucleotide variants by number. Studies are increasingly implicating genetic polymorphisms with diseases – yet why some humans develop diseases while others do not, and why disease incidences often increase with age, is largely unclear. Intriguingly, recent studies showed that human genetic variation extends markedly beyond heritable variants. Soon after fertilization, mutations naturally accumulate in healthy tissues resulting in somatic genetic mosaicism (SGM), a highly understudied form of variation. Among SGM classes, ‘SV mosaicisms’ likely account for most varying bases, are increased at age, are seen in the context of clonal cell expansion, and are associated with diseases of the elderly including type 2 diabetes and cancer. This indicates that to understand the basis of particular diseases we may first need to comprehend how naturally formed somatic SVs impact human cells. Here we aim to uncover the extent and impact of SV mosaicism. We aim to pursue single cell analyses, which offer the most direct way to detect somatic SVs in individual cells. Performing SV analysis in single cells at scale, however, is not a mainstream approach: current methods identify copy-number variants (CNVs), but miss key copy-neutral SV classes (e.g. inversions) likely to be highly relevant. We aim to develop new experimental and computational tools to construct a single cell catalog of a wide variety of relevant SV classes in different cell types (i.e. the blood compartment and skin) and ages. Using this catalog, we aim to study the functional impact of SV mosaicism on the cellular level, as a foundation for elucidating roles of somatic SVs in age-related phenotypes and diseases.

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