Cellular and Gene Editing Research
We develop novel genome editing techniques, cellular differentiation and cellular phenotyping systems, especially with respect to high-throughput investigation of gene and non-coding regulatory element function in Alzheimer's and Parkinson's diseases.
- Developing induced pluripotent stem cell models of genetic disease
- Development of high throughput single cell and spatial genomics technologies
- Genetic screening techniques using pooled and arrayed CRISPR/Cas9
- Differentiation protocols of pluripotent stem cells to brain and blood-derived lineages
- Application of screening to complex phenotypic readouts such as single cell transcriptomics or spatial genomics
We develop novel cutting-edge CRISPR screening techniques such as saturation mutagenesis, base editing, dual guide libraries and CRISPRa/i and couple these to complex phenotypic readouts such as single cell transcriptomics, spatial genomics or phenotypic assays of cellular function. We also work with and develop human cellular systems and differentiation protocols of human induced pluripotent stem cells (hiPSCs) in both 2D and 3D to better model human disease states in vitro. The systems developed will be applied to probe the genetic basis of cellular function in health and disease and understand the underlying cell biology.
We have a particular interest in the genetic causes of neurodegeneration, especially Alzheimer’s and Parkinson’s diseases and use some of these screening methodologies to identify the genes involved and understand the consequences of genetic mutations as part of two OpenTargets projects, Neuroinflammation and NeuroID.
Cancer Dependency Map
The Cancer Dependency Map integrates the work of multiple experimental and computational research project at the Sanger Institute with the ...
Human Cell Atlas
The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells—the fundamental units of life— ...
Experimental Cancer Genetics
We are a team of cancer biologists, geneticists and computational biologists interested in understanding how cancers develop and the ways of ...
Translational Cancer Genomics
The Translational Cancer Genomics team investigate how genetic alterations in cancer contribute to disease and impact on response to therapy.
In collaboration with our colleagues in Cellular Operations and Stem Cell Informatics, our work focuses on supporting and delivering the gene ...
Single cell genomics
John Marioni's group develop computational and statistical tools to exploit high-throughput genomics data to understand the regulation of gene expression ...
Function of human DNA and its variation
Our goal is to understand how genetic background influences outcome of mutations. To do so, we measure, model, and modulate cell ...
Gene expression genomics
We use cutting edge single cell genomics technologies and computational methods to understand genes, proteins and cells in human health and ...
The Trynka group combines experimental and computational approaches to study how genetics control the immune system and predispose individuals to autoimmune ...
We work with the following groups
Open Targets is an innovative, large-scale, multi-year, public-private partnership that uses human genetics and genomics data for systematic drug target identification and prioritisation.