A resource for whole-body gene expression map of human tissues based on integration of single cell and bulk transcriptomics

作者：Mengnan Shi, Loren Méar, Max Karlsson, María Bueno Álvez, Andreas Digre, Rutger Schutten, Borbala Katona, Jimmy Vuu, Emil Lindström, Feria Hikmet, Han Jin, Meng Yuan, Xiangyü Li, Hong Yang, Xiya Song, Evelina Sjöstedt, Fredrik Edfors, Per Oksvold, Kalle von Feilitzen, Martin Zwahlen, Mattias Forsberg, Fredric Johansson, Jan Mulder, Tomas Hökfelt, Yonglun Luo, Lynn M. Butler, Wen Zhong, Adil Mardinoğlu, Åsa Sivertsson, Fredrik Pontén, Linn Fagerberg, Cecilia Lindskog, Mathias Uhlén, Cheng Zhang · 发表于：Genome biology · 年份：2025 · DOI：10.1186/s13059-025-03616-4 · 被引用次数：10 · 研究领域：Single-cell and spatial transcriptomics、Cancer Cells and Metastasis、Cancer Genomics and Diagnostics

New technologies enable single-cell transcriptome analysis, mapping genome-wide expression across the human body. Here, we present an extended analysis of protein-coding genes in all major human tissues and organs, combining single-cell and bulk transcriptomics. To enhance transcriptome depth, 31 tissues were analyzed using a pooling method, identifying 557 unique cell clusters, manually annotated by marker gene expression. Genes were classified by body-wide expression and validated through antibody-based profiling. All results are available in the updated open-access Single Cell Type section of the Human Protein Atlas for genome-wide exploration of genes, proteins, and their spatial distribution in cells.