A version 18.1 release today with new Survival Scatter plots


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Example of Survival scatter plot (cropped). View full version

A new version 18.1 of the Human Protein Atlas was released today. The new version introduces new features to the Survival Scatter plots in the Pathology Atlas.

A new version 18.1 of the Human Protein Atlas was released today. The new version covers information of 17,000 protein-coding genes using altogether 26,009 antibodies. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome. The Protein Atlas consists of three separate parts, each focusing on a particular aspect of the genome-wide analysis of the human proteins; the Tissue Atlas1 showing the distribution of the proteins across all major tissues and organs in the human body, the Cell Atlas2 showing the subcellular localization of proteins in single cells, and finally the new Pathology Atlas3 showing the impact of protein levels for survival of patients with cancer. In the new version, we introduce new features to the Survival Scatter plots in the Pathology Atlas showing the clinical status for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. A density plot has been introduced showing the RNA expression levels distribution among patients and another density plot showing the data density of the survived patients with high and low expression levels, respectively. The interactive Survival Scatter plot allows for the cutoff to be changed to aid the user in exploring custom cutoffs.

1. Uhlen et al (2015) "Proteomics. Tissue-based map of the human proteome" Science. 347 (6220).
2. Thul et al (2017) "A subcellular map of the human proteome" Science. 356 (6340).
3. Uhlen et al (2017) "A pathology atlas of the human cancer transcriptome" Science. 357 (6352).


Mathias Uhlén