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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月3日

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  • 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,
  • Xiangyu 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 Butler,
  • Wen Zhong,
  • Adil Mardinoglu,
  • Åsa Sivertsson,
  • Fredrik Ponten,
  • Linn Fagerberg,
  • Cecilia Lindskog,
  • Mathias Uhlén,
  • Cheng Zhang

摘要

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.