Martin Zwahlen

TL;DR: In this paper, a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level.

TL;DR: A quantitative transcriptomics analysis (RNA-Seq) is used to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues.

TL;DR: The analysis here suggests that state stem cell funding programs are sufficiently large and established that simply ending the programs, at least in the absence of substantial investment in the field by other funding sources, could have deleterious effects.

TL;DR: A subcellular map of the human proteome is presented to facilitate functional exploration of individual proteins and their role in human biology and disease and integrated into existing network models of protein-protein interactions for increased accuracy.

TL;DR: In this article, the authors combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution singlecell type map of human tissues, which was used to explore the expression of human protein-coding genes in 192 individual cell type clusters.