SOURCE-LINKED INTELLIGENCE

Beyond a snapshot: Spatiotemporal Multiomics for the study of Breast Cancer phenotypic transitions

CORDIS · observation · Publication date unknown

iding a revolutionary point of view in the identification of therapeutic targets. Multiple deliverables including an ESPRESSO-Omics atlas, a high-throughput hyperspectral light-sheet microscope and a machine learning framework will be provided during the course of this award, articulated over two work packages (WPs): WP1: Establishment of the ESPRESSO-omics framework WP2: Investigation of phenotypic transitions in breast cancer Understanding phenotypic transitions has broad implications, not only in breast cancer research but also in other cancers and biological systems. The open-source cell atlas, instrumentation specifications and data analysis tools will be valuable resources for the scientific community, democratizing advanced tools for the study of phenotypic transitions Microscopy, breast cancer, spatial proteomics, organelles

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

1498973

unit

EUR