Talk Title: From cell-type to function using single-cell RNA sequencing
The cell is the basic functional unit of all living things. Understanding the molecular basis of the structure and function of cells is a goal of much of modern biology. However, most high throughput “-omics” assays must be conducted on bulk samples derived from thousands of individual cells, masking the functional heterogeneity within tissues, organs, or cell populations. The recent development of single-cell RNA sequencing has enabled high throughput measurement of entire transcriptomes of thousands of unique cells, and has revealed unexpectedly high levels cellular heterogeneity and many putative novel cell-types. However, understanding the functional role of the newly revealed transcriptional heterogeneity across single-cells remains challenging. This talk will explore my work linking single-cell transcriptomes to cellular function through gene-regulatory network analysis and integrating single-cell RNASeq datasets with other “-omics” data. I will focus on my projects examining human and mouse development and analysis of in vitro liver cancer tumouroids.
Dr Tallulah Andrews, The Wellcome Trust Sanger Institute
Tallulah is post-doctoral fellow in the Hemberg group, she is currently developing statistical tools for analysing single-cell RNA-seq data. Her main focus is on inferring regulatory networks from scRNA-seq by taking advantage of the high levels of biological heterogeneity between single cells. This work employs various parametric and non-parametric statistical tests to capture both the significance and nature of regulatory interactions. A key part of this work is the appropriate use of normalisation methods for scRNA-seq data to interpret and correct the technical noise particular to these experiments.