The Stemformatics gene expression compendium: development of multivariate statistical approaches for cross platform analyses. Scientific data is gathered in many different forms, but there are significant gaps in our ability to analyse multiple datasets when generated on different pieces of equipment. This project will study three typical research questions in stem cell biology to develop new analytical approaches to help solve this major data gap.
Genetic variation of single cell transcriptional heterogeneity in HiPSCs. This project aims to investigate whether induced pluripotent stem cells (iPSC) can be used to study the functions of genetic variants associated with human phenotypes and cell fate decisions. The project will utilise technology to produce single cell RNA sequence data for 100,000s of cells. By sequencing individual cells, the genetic control of cellular heterogeneity both within and between cells can be identified, and in ....Genetic variation of single cell transcriptional heterogeneity in HiPSCs. This project aims to investigate whether induced pluripotent stem cells (iPSC) can be used to study the functions of genetic variants associated with human phenotypes and cell fate decisions. The project will utilise technology to produce single cell RNA sequence data for 100,000s of cells. By sequencing individual cells, the genetic control of cellular heterogeneity both within and between cells can be identified, and in doing so, will provide significant benefit by revealing the potential for iPSC to be used for functional translation of human genomics.Read moreRead less
Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water ....Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water and soil should lead to deeper understanding of the dynamics, variation and transfer of genetic material within these resources’ microbial communities, strategies to manage microbial diversity, and improved productivity and long-term sustainability for these resources.Read moreRead less
Reconstructing proteins to explain and engineer biological diversity. The aim of this project is to develop computational methods to construct entirely new proteins. Computational reconstruction of enzymes that have been extinct for over 400 million years has revealed remarkable opportunities for biotechnological innovation. The intended outcomes are to develop bioinformatics methods to broaden the scope of ancestral protein reconstruction to include protein super-families, to establish what spe ....Reconstructing proteins to explain and engineer biological diversity. The aim of this project is to develop computational methods to construct entirely new proteins. Computational reconstruction of enzymes that have been extinct for over 400 million years has revealed remarkable opportunities for biotechnological innovation. The intended outcomes are to develop bioinformatics methods to broaden the scope of ancestral protein reconstruction to include protein super-families, to establish what specific changes led to the evolutionary success of a protein, and to re-run evolution to generate proteins that perform in conditions suitable for industrial and agricultural applications, in particular the production of hydroxylated fatty acids for bioplastics. By examining proteins from many life forms, the project plans to develop a novel bioinformatics strategy to understand their evolution and engineer new proteins for use in production of chemical commodities.Read moreRead less
Computational systems biology: understanding mammalian cell fates using genome-scale network models. Mutations can disrupt the cellular networks that control normal development, causing cells to develop abnormally including in ways that lead to cancer. The project will analyse genome sequences from more than 700 pancreatic cancers and matched controls to precisely map the causative trail from mutations to disrupted networks to altered cell development.
Using population resequencing data to investigate the evolutionary role and functional impact of inversion polymorphisms. The project will use population re-sequencing data to generate high resolution haplotype maps of inversion polymorphisms in multiple human populations comprising more than 5,000 individuals. These maps will be used to impute inversion polymorphsisms in genotyped samples of more than 100,000 individuals, facilitated by development of novel algorithms for mapping inversion poly ....Using population resequencing data to investigate the evolutionary role and functional impact of inversion polymorphisms. The project will use population re-sequencing data to generate high resolution haplotype maps of inversion polymorphisms in multiple human populations comprising more than 5,000 individuals. These maps will be used to impute inversion polymorphsisms in genotyped samples of more than 100,000 individuals, facilitated by development of novel algorithms for mapping inversion polymorphism from population sequence data. Finally, the project will use this map to assess the functional impact and evolutionary role of inversions, by assessing their effect on quantitative traits and assessing measures of selection and population differentiation. Read moreRead less
Signal transduction and the control of bacterial respiration by the NtrYX two component regulatory system. This proposal will define the structural and functional properties of the NtrYX two component signal transduction and define its role in the regulation of respiratory gene expression. The human pathogen Neisseria gonorrhoeae will be used as a model organism for a diverse range of 'oxidase positive' bacteria that possess NtrYX. The outcome will be a major contribution to the understanding of ....Signal transduction and the control of bacterial respiration by the NtrYX two component regulatory system. This proposal will define the structural and functional properties of the NtrYX two component signal transduction and define its role in the regulation of respiratory gene expression. The human pathogen Neisseria gonorrhoeae will be used as a model organism for a diverse range of 'oxidase positive' bacteria that possess NtrYX. The outcome will be a major contribution to the understanding of way in which respiratory gene expression is controlled in bacterial species for which Escherichia coli is not a suitable model. Read moreRead less
Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPI ....Photosynthetic traits as “key performance indicators” of coral health. The objective of this project is to advance knowledge on the healthy functioning of the coral–algal symbiosis, which defines the response of coral reef ecosystems to worldwide environmental change. Current approaches to address this problem have linked coral health to algal symbiont diversity but have been unable to resolve the fundamental symbiont functional traits that govern this link – the “key performance indicators (KPIs)”. This project plans to couple advanced physiological and functional genomics techniques to transform our understanding of how algal symbiont metabolic KPIs regulate coral growth and stress susceptibility. This may provide new diagnostic capability for the assessment of coral health and may enable us to improve coral reef ecosystem management.Read moreRead less
Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that t .... Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that the true nature of brain adaptation across the lifespan will be revealed. Findings which may then provide new opportunities to strengthen, maintain and optimise cognitive function.Read moreRead less
Illuminating the microbial world using genome-based fluorescence microscopy. Our understanding of microbial diversity on Earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms. The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-b ....Illuminating the microbial world using genome-based fluorescence microscopy. Our understanding of microbial diversity on Earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms. The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-based techniques to visualise microorganisms, plasmids and viruses, with strain level specificity. The application of these highly scalable approaches will provide comprehensive and unprecedented insight into the fine-scale dynamics and evolution of environmentally and biotechnologically important microbial communities.Read moreRead less