Single Cell RNA sequencing (scRNAseq) – analytical approaches to complex data

The talk covers popular analytical approaches used to work with single-cell RNAseq (scRNAseq) data. The first example shows data obtained from 3 independent cohorts of patients with Idiopathic Pulmonary Fibrosis (IPF) and focuses on the widely used methods of data visualization using a known macrophage marker, CCL18, and examination of co-expression of a number of markers. The second example involves examination of cellular states in data obtained from Glioblastoma patients. Finally, analyses focusing on dynamical changes, such as trajectory inference, pseudotime and RNA velocity, were presented.

Presenter: Dr. Anna Dvorkin-Gheva, PhD
Firestone Institute for Respiratory Health
Trainee Rounds, February 23rd, 2021