Gene expression dosage as a driver of cellular and physiological traits
This project aims to characterize gene dosage-to-function relationships in human blood cells using genetic data and CRISPR techniques to enhance understanding of disease mechanisms and genomic medicine.
Projectdetails
Introduction
The expression dosage of a gene is a fundamental determinant of its downstream function at the cellular and organismal level. Its genetic or environmental perturbations are a driving force of most common and rare diseases in humans. However, we have limited understanding of the specific shape of dosage-to-function curves for human genes, what factors and mechanisms drive their variation across genes, phenotypes, and cellular contexts, and how this contributes to the functional architecture of human traits.
Project Overview
This project addresses these questions using large human genetic data sets and cutting-edge experimental approaches. Using blood cell traits as our study system, we will characterize the relationship between gene dosage and cellular and physiological function on an unprecedented scale and depth. This addresses fundamental questions in systems biology and produces insights that can also benefit genomic medicine and drug development.
Work Packages
The Work Packages of this study will:
- Establish the dosage-to-function relationship for hundreds of human genes, associating genetically driven gene dosage to blood cell traits in large human genetic data, and by an innovative CRISPR-based experimental approach that maps gene dosage changes to multiple cellular phenotypes.
- Elucidate how the dosage-to-cellular-function relationships differ between cellular states, and use single-cell RNA sequencing to analyze how regulatory networks mediate context-specific dosage-to-function effects.
- Characterize upstream genomic and environmental regulators of gene dosage.
Expected Outcomes
This project will build the first comprehensive, generalizable picture of gene dosage-to-function relationships in humans. Our analysis will link these insights to the functional architecture of human traits, providing unique generalizable insights into how disruption of gene dosage and regulatory networks underlies human traits at the cellular and physiological level.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.993.059 |
Totale projectbegroting | € 1.993.059 |
Tijdlijn
Startdatum | 1-7-2022 |
Einddatum | 30-6-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- KUNGLIGA TEKNISKA HOEGSKOLANpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Systematically Dissecting the Regulatory Logic of Chromatin ModificationsThis project aims to systematically investigate the functional impact of chromatin modifications on gene expression using a novel editing platform to enhance precision medicine and understand epigenomic profiles. | ERC Consolid... | € 1.999.565 | 2023 | Details |
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Regulation of gene dosage on the mouse X chromosome
REGULADOSIX aims to uncover the evolutionary and functional mechanisms of X-chromosome inactivation in mammals by studying gene dosage compensation during mouse embryogenesis.
Discover the physiological and developmental functions of X chromosome dosage using new genetic and system models
This project aims to uncover the mechanisms of X monosomy lethality and the role of sex chromosome dosage in development using advanced fly genetics and novel insect models.
Deep genetics to study and uncover ‘hidden’ biology
DeepGenetics aims to enhance understanding of genetic regulation in human cells by linking cellular phenotypes to protein domains and amino acids, revealing hidden biological processes.
Systematically Dissecting the Regulatory Logic of Chromatin Modifications
This project aims to systematically investigate the functional impact of chromatin modifications on gene expression using a novel editing platform to enhance precision medicine and understand epigenomic profiles.
Shedding light on three-dimensional gene regulation
This project aims to elucidate gene expression regulation during differentiation using an ultra-fast optogenetic system and high-resolution genomic tools to study 3D chromatin interactions.