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Ilustration depicting big data datasets

The Oxford-J&J Cartography collaboration has generated a wealth of unique cross-discipline data focused on priority J&J therapeutic targets – involving 9 disciplines across 15 health or disease conditions and amassing over 4 million high-quality transcriptomes to date. 

The collaboration has now embarked on the next phase of Cartography. Over the next two-year period our aim is to perform in-depth analysis of the full Cartography dataset for the purpose of creating a multiomic, cross-tissue and cross-disease atlas that will meet the following objectives:

  1. Creating the Cartography Atlas, to serve as a cellular and molecular encyclopaedia, providing insights into tissue niches, shared and disease-specific pathophysiology, therapeutic targeting and drug-dependent perturbation.
  2. Creating a Cartography Atlas Common Annotation Framework, to provide a reference map against which existing internal and external as well as upcoming single-cell datasets can be queried and rationalised.
  3. Creating a Cartography Atlas Data Decoder, leveraging the high-resolution, multi-modal and multi-dimensional nature of the Cartography dataset to deconvolute and add further value to non-single-cell transcriptomic datasets, including other internal or external bulk transcriptomic, flow and/or mass cytometry, and imaging/spatial omics datasets.
  4. Creating a Multi Dimensional Viewer – a user-friendly, web-based platform that allows the full breadth and depth of Cartography data to be readily queried and visualised without the need for bioinformatics skills.

This is an exciting time to be part of this long-standing collaboration with the team poised to probe this fabulous data set for answers.