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
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.
Uncovering microRNA decay regulation in mammalian cells. MicroRNAs (miRNAs) constitute a novel mechanism used by cells to regulate gene expression, however, very little is known about the mechanisms affecting miRNA accumulation. Characterisation of the kinetics of miRNA turnover is of paramount importance to establish the reliability of miRNAs as novel biomarkers. This project aims to characterise miRNA stability in mammalian cells, investigate mechanisms of turnover and establish their importan ....Uncovering microRNA decay regulation in mammalian cells. MicroRNAs (miRNAs) constitute a novel mechanism used by cells to regulate gene expression, however, very little is known about the mechanisms affecting miRNA accumulation. Characterisation of the kinetics of miRNA turnover is of paramount importance to establish the reliability of miRNAs as novel biomarkers. This project aims to characterise miRNA stability in mammalian cells, investigate mechanisms of turnover and establish their importance on the regulatory function of miRNAs. Such information is critical in the future development of targeted therapeutics.Read moreRead less
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
Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
How protein and RNA cargo are sorted into exosomes. This project aims to understand how proteins and RNA are selected for packaging into exosomes and participate in the biological functions mediated by these vesicles. Exosomes are small membranous extracellular vesicles released by cells which contain protein and RNA cargo and are involved in intercellular communication. Determining how the exosome cargo is selected and related to its function in intercellular communication is expected to show h ....How protein and RNA cargo are sorted into exosomes. This project aims to understand how proteins and RNA are selected for packaging into exosomes and participate in the biological functions mediated by these vesicles. Exosomes are small membranous extracellular vesicles released by cells which contain protein and RNA cargo and are involved in intercellular communication. Determining how the exosome cargo is selected and related to its function in intercellular communication is expected to show how these vesicles maintain cellular homeostasis. The findings will expand knowledge in the area of microRNA biology, proteomics and develop expertise in bioinformatics.Read moreRead less
Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line ....Exploring novel coding genomic features through integrative proteogenomics. Knowledge of the full extent to which the human genome is made into proteins is of fundamental importance in the study of health and disease. New technological advances are now enabling functional studies of genomes with increasing detail. This project aims to develop and apply cutting edge bioinformatics methods to perform an integrative and comprehensive exploration of the extent to which the genes of a human cell line are made into proteins. The project will improve our understanding of the human genome and deliver cutting edge methodology applicable for genome annotation in all living organisms.Read moreRead less
Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pa ....Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pathogenic behaviour and biomass production.Read moreRead less
Unlocking Hidden Cancer Drivers Using Transcriptome Data
Funder
National Health and Medical Research Council
Funding Amount
$700,473.00
Summary
New sequencing technologies allow us to get an unbiased look at the molecular signalling in a tumour. However this information is very complex and need specialised methods in statistic and computation in order to make new discoveries. Here will will develop analysis methods to find novel transcriptional variants in cancer and then test them in the lab in order to understand if our discoveries are responsible for causing cancer.
Characterisation Of Two Novel Markers Of Osteosarcoma Metastasis As Potential Therapeutic Targets
Funder
National Health and Medical Research Council
Funding Amount
$624,500.00
Summary
Osteosarcoma (OS) is the most common bone tumour in children and adolescents. In spite of aggressive chemotherapy, OS tumours that metastasise to the lungs result in dismal long-term survivals of only 10-20%. For these patients, new treatment options are desperately needed. In this proposal we show compelling data identifying two new markers of OS metastasis. This research aims to validate the suitability of these novel markers as therapeutic targets to prevent OS metastasis.