Discovery Early Career Researcher Award - Grant ID: DE190100116
Funder
Australian Research Council
Funding Amount
$415,737.00
Summary
Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically recons ....Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically reconstruct gene regulatory networks. These networks are the molecular basis for understanding human cells. This projects outcomes intend to include the first reference single-cell regulatory database and novel methods and software to predict individual cells. This project will contribute to advancing Australia's capabilities in single-cell, precision medicine, and big biological data analysis leading to significant scientific, societal and commercial benefits.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101323
Funder
Australian Research Council
Funding Amount
$427,098.00
Summary
Structure guided mapping of protein interactions and their perturbation. Protein interactions are central to most biological processes, and significant effort has been devoted to trying to unravel these complicated networks. This project aims to develop new approaches to better understand these interactions, and the consequences of their perturbation. The main expected contributions will be: (i) methods to identify likely protein interaction sites using population conservation; (ii) computationa ....Structure guided mapping of protein interactions and their perturbation. Protein interactions are central to most biological processes, and significant effort has been devoted to trying to unravel these complicated networks. This project aims to develop new approaches to better understand these interactions, and the consequences of their perturbation. The main expected contributions will be: (i) methods to identify likely protein interaction sites using population conservation; (ii) computational approaches to assess the effects of any type of mutation on the interaction; and (iii) an understanding of how disruption of a specific interaction can affect the complicated biological network within a cell. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101117
Funder
Australian Research Council
Funding Amount
$327,000.00
Summary
The functional impact of new genes acquired through retrotransposition. Novel copies of genes often arise through retrotransposition of processed messenger RNAs. Many thousands of gene copies have arisen over evolutionary time and some of these have retained functionality while diverging from the parental gene leading to new paralogs under different regulatory regimes. Through analysis of whole-genome sequence data, we are now able to identify very recent gene copies that are not present in the ....The functional impact of new genes acquired through retrotransposition. Novel copies of genes often arise through retrotransposition of processed messenger RNAs. Many thousands of gene copies have arisen over evolutionary time and some of these have retained functionality while diverging from the parental gene leading to new paralogs under different regulatory regimes. Through analysis of whole-genome sequence data, we are now able to identify very recent gene copies that are not present in the reference genomes for various species, giving us the opportunity to explore the effects of new copies on the regulation of the original gene and the surrounding genomic environment into which the new copy is inserted. This project aims to address these important open questions through computational and biochemical approaches.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100008
Funder
Australian Research Council
Funding Amount
$387,103.00
Summary
Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expect ....Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expected outcomes from this project includes providing insights into the function and evolution of non-photosynthetic Cyanobacteria and their viruses, and pure or enriched cultures to enable future studies.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100178
Funder
Australian Research Council
Funding Amount
$453,913.00
Summary
Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis meth ....Fast, lightweight and live nanopore sequencing analysis. This project aims to address limitations in nanopore sequencing (latest emerging technology in genomics) by applying advanced computational methods. This project expects to create new knowledge in bioinformatics and computer science through innovative approaches that leverage the live data streaming capability of nanopore devices to deliver results rapidly, or in real-time. Expected outcomes include improved, highly efficient analysis methods and designs for future creation of custom computer hardware for nanopore analysis. This will facilitate widespread adoption of nanopore technology in bioscience research and applied domains (health, agriculture, ecology, biosecurity and forensics), including for portable in-the-field applications. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102166
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Identification and characterisation of anti-viral immune response genes in mosquitoes. Emerging viral diseases, transmitted by mosquito bite, present an increasing public health risk globally. Most research to date has neglected the infection dynamic in the insect vector. This project aims to characterise the defensive response of mosquitoes to viral infection, a potentially crucial factor in the epidemiology of vector-borne disease.
Discovery Early Career Researcher Award - Grant ID: DE150101777
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding the role of exosomes in intercellular communication. Exosomes, small packages released by cells, are powerful signalling organelles that can activate neighbouring cells by transferring proteins and RNA. Currently, it is unknown whether exosomes have similar membrane protein/lipid composition to that of the host cell. This project aims to explore the similarities and differences between the exosomal and host cell membranes in terms of the protein/lipid composition. In addition, the ....Understanding the role of exosomes in intercellular communication. Exosomes, small packages released by cells, are powerful signalling organelles that can activate neighbouring cells by transferring proteins and RNA. Currently, it is unknown whether exosomes have similar membrane protein/lipid composition to that of the host cell. This project aims to explore the similarities and differences between the exosomal and host cell membranes in terms of the protein/lipid composition. In addition, the project aims to study how the proteins and RNA are packaged into exosomes. Membrane molecules that are detected only in the exosomes may have important signalling implications and may aid in the uptake/fusion of exosomes by/with target cells. The project aims to improve our understanding on signalling mediated by exosomes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101078
Funder
Australian Research Council
Funding Amount
$374,433.00
Summary
Functional role of a novel DNA modification in the adult brain. This project aims to understand how neuronal DNA is modified upon learning and how this impacts memory formation. The project will investigate the combination of different genome-wide sequencing approaches and molecular and cell biological assays to provide new insight into the functional role of a novel DNA modification, N6-methyl-2'-deoxyadenosine in the adult brain. This projects expects to have a major impact on many fields, inc ....Functional role of a novel DNA modification in the adult brain. This project aims to understand how neuronal DNA is modified upon learning and how this impacts memory formation. The project will investigate the combination of different genome-wide sequencing approaches and molecular and cell biological assays to provide new insight into the functional role of a novel DNA modification, N6-methyl-2'-deoxyadenosine in the adult brain. This projects expects to have a major impact on many fields, including neuroscience, evolutionary biology, and genetics, by helping to shape a new way of thinking about gene-environment interactionsRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102575
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Exploring new territory in climatic adaptation research: integrating molecular genetics with species' thermal tolerance limits. Predicting species' responses to environmental change requires mechanistic links between whole-organism physiological stress responses and underlying cellular mechanics. This project integrates cutting-edge methods in molecular and evolutionary genetics to probe species' responses to environmental change in the context of a warming environment.
Discovery Early Career Researcher Award - Grant ID: DE180101252
Funder
Australian Research Council
Funding Amount
$343,450.00
Summary
Statistical theory and algorithms for joint inference of complex networks. This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered net ....Statistical theory and algorithms for joint inference of complex networks. This project aims to address the challenges in jointly modelling complex networks by applying an integrated approach encompassing statistical theory, computation, and applications. The project expects to contribute to core statistical methodology development for complex inference and generate new knowledge in the fields of genomics, neuroscience, and social science through in-depth analyses of large-scale multilayered network data. Expected outcomes include enhanced theoretical and computational frameworks for probabilistic network models to better utilise the power of multiple observations. This should foster international and interdisciplinary collaborations and add significant value to the rapidly progressing field of networks research.Read moreRead less