The Cellular Genetics programme is focused on cell-atlasing and cellular genetics. The programme uses these approaches to map cells in the human body combining cutting-edge methodologies and computational approaches. This enables us to understand what the identity of cells are, how they are regulated, relationships between them and, importantly, how this can change during development, health disease and ageing.
The future outlook for the programme is to build on current scientific and funding success with expansion of expertise in cell-atlasing approaches, spatial genomics and computational approaches and use of cell-atlasing technologies to understand in vitro systems such as IPSCs and organoids. This will be coupled with increasing focus on using cell-atlasing to understand disease.
The Cellular Genetic’s Programme jointly lead the “Human Cell Atlas” (HCA) global consortium alongside the Broad Institute, with Sarah Teichmann as co-lead and co-founder, together with Aviv Regev (MIT/Broad). The HCA vision is to create comprehensive reference maps of all human cells—the fundamental units of life—as a basis for both understanding human health and diagnosing, monitoring, and treating disease.
The “resolution revolution” in genomics has enabled the study of single cells, so-called “single cell genomics”, such that we can now sequence millions of individual cells in unprecedented detail. On a similar scale to the Human Genome Project, the Human Cell Atlas aims to create a 3D ‘Google map’ of the 37 trillion cells of the human body which will allow scientists to zoom into organs, tissues and cells to reveal the location and gene activity patterns of each cell type.
The Human Cell Atlas was launched in London in 2016 with a kick-off meeting attended by an interdisciplinary community of biomedical experts, genomics technologists and computational biologists at an international meeting to discuss how to create a Human Cell Atlas. Three years later, the global Human Cell Atlas initiative has over 1,500 researchers from more than 60 countries and has achieved success in fundamental areas of basic and translational research including oncology, immunology, respiratory disease, human development and reproductive biology.
D3E is a method for identifying differentially expressed genes from single-cell RNA-seq experiments. D3E compares the full distribution between two sample to identify a set of differentially expressed genes.
The International Human Cell Atlas initiative aims to create comprehensive reference maps of all human cells—the fundamental units of life—as a basis for both understanding human health and diagnosing, monitoring, and treating disease.
SC3 is a method for unsupervised clustering of single-cell RNA-seq data. In addition to a graphical user-interface, SC3 provides additional information about potential outliers and marker genes for each cluster.
Gene expression involves the transformation of genetic information encoded in DNA sequence into a gene product, such as a protein. Regulation of gene expression is a fundamentally important process in biology because controlling the timing, location and level of gene expression is critical for the gene product to function correctly. The majority of mutations that alter disease risk for most common diseases are thought affect gene regulation, although how these mutations actually function is not well understood in most cases. Our group uses a combination of statistical and experimental approaches to map mutations that affect gene regulation in humans.
The Hemberg group is interested in developing quantitative models of gene expression. Our approach is theoretical and we strive to develop novel mathematical models as well as computational tools that can be used by other researchers.
We use cutting edge single cell genomics technologies and computational methods to understand genes, proteins and cells in human health and disease. We have a long-standing interest in understanding global principles of gene regulation, protein interactions and have a particular interest in immunity.
We aim to learn why being obese causes metabolic and cardiovascular problems and to provide the rational for mechanistically driven therapeutic approaches to prevent these complications which are the meain cause of morbidity among obese patients.
The Vento Lab uses genomics and computational tools to reconstruct immune environments. The main areas of focus are: Immunogenomics - Immune responses against infection, Reproductive atlas - Reconstructing dynamic maps of reproductive organs, and Cellular networks - Cell-cell communication
The Bradley laboratory is a multi-disciplinary environment with a number of parallel research themes. One of our core disciplines is the development and use of genetic technologies which we primarily apply to the mouse genome, although we also embrace studies in other mammalian genomes.
From childhood cancer to mapping human development: Pioneering scientist awarded 2019 Foulkes Foundation medal