A single-cell type transcriptomics map of human tissues.
Max J KarlssonCheng ZhangLoren MéarWen ZhongAndreas DigreBorbala KatonaEvelina SjöstedtLynn ButlerJacob OdebergPhilip DusartFredrik EdforsPer OksvoldKalle von FeilitzenMartin ZwahlenMuhammad ArifOzlem AltayXiangyu LiMehmet OzcanAdil MardingluLinn FagerbergJan MulderYonglun LuoFrederik PonténMathias UhlenCecilia LindskogPublished in: Science advances (2021)
Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single-cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs.
Keyphrases
- single cell
- endothelial cells
- poor prognosis
- rna seq
- induced pluripotent stem cells
- pluripotent stem cells
- high resolution
- binding protein
- high throughput
- genome wide
- gene expression
- social media
- deep learning
- mass spectrometry
- stem cells
- machine learning
- health information
- cell death
- bone marrow
- signaling pathway
- induced apoptosis
- mesenchymal stem cells
- transcription factor
- cell cycle arrest
- genome wide identification
- tandem mass spectrometry