A genome-wide transcriptomic analysis of protein-coding genes in human blood cells.
Mathias UhlenMax J KarlssonWen ZhongAbdellah TebaniChristian PouJaromír MikešTadepally LakshmikanthBjörn ForsströmFredrik EdforsJacob OdebergAdil MardingluCheng ZhangKalle von FeilitzenJan MulderEvelina SjöstedtAndreas HoberPer OksvoldMartin ZwahlenFrederik PonténCecilia LindskogÅsa SivertssonLinn FagerbergPetter BrodinPublished in: Science (New York, N.Y.) (2020)
Blood is the predominant source for molecular analyses in humans, both in clinical and research settings. It is the target for many therapeutic strategies, emphasizing the need for comprehensive molecular maps of the cells constituting human blood. In this study, we performed a genome-wide transcriptomic analysis of protein-coding genes in sorted blood immune cell populations to characterize the expression levels of each individual gene across the blood cell types. All data are presented in an interactive, open-access Blood Atlas as part of the Human Protein Atlas and are integrated with expression profiles across all major tissues to provide spatial classification of all protein-coding genes. This allows for a genome-wide exploration of the expression profiles across human immune cell populations and all major human tissues and organs.
Keyphrases
- genome wide
- endothelial cells
- dna methylation
- induced pluripotent stem cells
- pluripotent stem cells
- single cell
- gene expression
- stem cells
- machine learning
- poor prognosis
- induced apoptosis
- binding protein
- cell cycle arrest
- deep learning
- signaling pathway
- long non coding rna
- genome wide identification
- pi k akt
- transcription factor
- rna seq