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.

Tallulah Andrews


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.

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