Genetic Engineering of Regulatory Evolution
GenRevo aims to uncover how regulatory sequences influence gene expression and phenotypes by re-engineering bat wing genetics in mice, advancing understanding of non-coding DNA's role in evolution and disease.
Projectdetails
Introduction
The regulation of genes is generally accepted to play a key role in shaping phenotypes. However, how regulatory sequences encode complex morphological structures remains unsolved. This is due to our lack of understanding of how enhancers, promoters, and other regulatory components work together to control and fine-tune gene expression.
Challenges in Gene Regulation
As such, one of the major challenges of the post-genomic era is to uncover the sequence code that controls gene expression and, ultimately, the phenotype.
Project Overview
In GenRevo, I propose to study the genomics of an extreme example of evolutionary adaptation, the wings of bats, as a model system to identify and functionally dissect how sequence determines phenotype. Our approach involves the genetic re-engineering of bat regulatory sequences in mice and their functional dissection to identify the essential components that govern gene expression and phenotype.
Methodology
Based on an already generated comprehensive data set from mouse and bat limb buds, we will detect, re-engineer, and dissect intra- and interspecies differences in regulatory landscapes linked to bat wing development. In particular, we will:
- Determine what non-coding features are essential for maintenance and/or change in gene expression.
- Reconstitute bat-specific regulatory landscapes in mice by genome engineering synthetically produced large DNA sequences.
- Dissect how genomic changes translate into altered gene expression and phenotypes on a cellular and regulatory level.
- Create de novo designer regulatory landscapes that can be used as a testbed for experimental perturbations.
Expected Outcomes
Collectively, GenRevo will produce groundbreaking knowledge in our understanding of how gene regulatory units work in vivo and how variants influence phenotypes. The possibility to re-engineer sequences in another species will spark a technological revolution in the functional analysis of mammalian genomes, particularly regarding the function of non-coding DNA in human diseases, traits, and evolution.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.490.354 |
Totale projectbegroting | € 2.490.354 |
Tijdlijn
Startdatum | 1-11-2022 |
Einddatum | 31-10-2027 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- CHARITE - UNIVERSITAETSMEDIZIN BERLINpenvoerder
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Designing synthetic regulatory domains to understand gene expressionThis project aims to uncover gene regulation mechanisms by systematically altering and analyzing synthetic gene regulatory domains in mouse stem cells to reveal insights into non-coding genome organization. | ERC Starting... | € 1.500.000 | 2023 | Details |
The impact of 3D regulatory landscapes on the evolution of developmental programsThe 3D-REVOLUTION project aims to explore how changes in 3D regulatory landscapes influence gonadal sex determination and evolutionary gene regulation using advanced genomic techniques. | ERC Consolid... | € 1.998.217 | 2023 | Details |
Evolutionary mechanisms of gene regulation in dynamic environmentsThis project aims to uncover how gene regulation evolves in dynamic environments by analyzing mutational effects and selective advantages using high-throughput transcriptomic profiling in yeast. | ERC Consolid... | € 1.961.573 | 2024 | Details |
Studying the cis-regulatory changes that have shaped human evolutionThis project aims to uncover the genetic basis of human adaptation by using hybrid cells and MPRAs to map cis-regulatory changes and their impact on gene expression and phenotypes. | ERC Starting... | € 1.500.000 | 2023 | Details |
Decoding animal genomes into cell typesThis project aims to decode how genome sequences translate into cell types using Drosophila, employing deep learning and multi-omics to understand regulatory programs and their evolutionary changes. | ERC Advanced... | € 2.500.000 | 2023 | Details |
Designing synthetic regulatory domains to understand gene expression
This project aims to uncover gene regulation mechanisms by systematically altering and analyzing synthetic gene regulatory domains in mouse stem cells to reveal insights into non-coding genome organization.
The impact of 3D regulatory landscapes on the evolution of developmental programs
The 3D-REVOLUTION project aims to explore how changes in 3D regulatory landscapes influence gonadal sex determination and evolutionary gene regulation using advanced genomic techniques.
Evolutionary mechanisms of gene regulation in dynamic environments
This project aims to uncover how gene regulation evolves in dynamic environments by analyzing mutational effects and selective advantages using high-throughput transcriptomic profiling in yeast.
Studying the cis-regulatory changes that have shaped human evolution
This project aims to uncover the genetic basis of human adaptation by using hybrid cells and MPRAs to map cis-regulatory changes and their impact on gene expression and phenotypes.
Decoding animal genomes into cell types
This project aims to decode how genome sequences translate into cell types using Drosophila, employing deep learning and multi-omics to understand regulatory programs and their evolutionary changes.