PT  - JOURNAL ARTICLE
AU  - Lihua Jiang
AU  - Meng Wang
AU  - Shin Lin
AU  - Ruiqi Jian
AU  - Xiao Li
AU  - Joanne Chan
AU  - Huaying Fang
AU  - Guanlan Dong
AU  - GTEx Consortium
AU  - Hua Tang
AU  - Michael P. Snyder
TI  - A Quantitative Proteome Map of the Human Body
AID  - 10.1101/797373
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 797373
4099  - http://biorxiv.org/content/early/2019/10/09/797373.short
4100  - http://biorxiv.org/content/early/2019/10/09/797373.full
AB  - Determining protein levels in each tissue and how they compare with RNA levels is important for understanding human biology and disease as well as regulatory processes that control protein levels. We quantified the relative protein levels from 12,627 genes across 32 normal human tissue types prepared by the GTEx project. Known and new tissue specific or enriched proteins (5,499) were identified and compared to transcriptome data. Many ubiquitous transcripts are found to encode highly tissue specific proteins. Discordance in the sites of RNA expression and protein detection also revealed potential sites of synthesis and action of protein signaling molecules. Overall, these results provide an extraordinary resource, and demonstrate that understanding protein levels can provide insights into metabolism, regulation, secretome, and human diseases.Summary Quantitative proteome study of 32 human tissues and integrated analysis with transcriptome data revealed that understanding protein levels could provide in-depth knowledge to post transcriptional or translational regulations, human metabolism, secretome, and diseases.