The cell cycle is fundamental for life, enabling organisms to grow, heal, reproduce, and maintain cellular function. In the subcellular resource of the Human Protein Atlas protein imaging and single cell RNAseq analysis have been used to explore cell-to-cell variability and the cell cycle dependent proteome...Read more

In an article published in Genome Medicine HPA related researchers have used advanced multi-omics analysis to investigate the impact of genetics and environment on the metabolic profiles of healthy adults by tracking metabolic changes over a two-year period...Read more

In a correspondence in Nature Medicine an initiative with the aim to connect research with healthcare and establish Sweden as a major player in the field of data-driven precision medicine was presented...Read more

In 2021, Trey Idekers team at UCLA in collaboration with Emma Lundbergs team at KTH and Stanford presented a new way of creating hierarchical maps of subcellular protein organization by integrating data from immunofluorescence images from the HPA with protein interaction data. The resulting cell map was referred to as the multi-scale integrated cell (MuSIC 1.0). Four years later, the same team has now released the next version of such a multimodal cell map, again accompanied by a prestigious publication in Nature...Read more

In a publication in the journal Neuron a group of scientists including Jan Mulder, an HPA-related researcher, have used Stereo-seq, in combination with single-nucleus RNA sequencing data to create a 3-D atlas showing the cell-type distribution across the whole mouse brain. The spatial distributions of diverse cell types and lncRNAs in adult brain as well as the spatiotemporal profile of gene expression during brain development were investigated...Read more