Bioinformatics Seminar
Time: 3PM
Venue: Teams
17 May 2022
Integration of CyTOF datasets of breast cancer patient-derived xenografts to detect molecular changes in response to therapy
Marie TrussartWEHI Bioinformatics
By detecting over 40 proteins on millions of single cells, mass cytometry or cytometry by Time-Of-Flight CyTOF allows characterisation of tumour populations in patients in unprecedented detail. Multi-run CyTOF studies of large clinical cohorts including increasing drug-treatment doses can provide a deeper understanding of the molecular and cellular changes induced in each patient by the treatment. Mass cytometry was applied to breast cancer patient-derived xenografts to detect changes in cell survival and signal transduction pathways after therapy. To integrate the CyTOF datasets, we applied CytofRUV that removes batch effects in CyTOF data using replicated reference samples. This allowed us to see how tumor populations respond to the treatment and identify some molecular changes in response to therapy.