Evidence map›Paper›PMID 40462185›Full record

ArticleGenome biology2025

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

Mengnan Shi, Loren Méar, Max Karlsson, María Bueno Álvez, Andreas Digre, Rutger Schutten, Borbala Katona, Jimmy Vuu, Emil Lindström, Feria Hikmet and 24 more

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Roles of the E3 Ubiquitin Ligase TRIM47 in Inflammation, Organ Injury, and Cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Identification ofFrontiers in immunology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Mengnan ShiScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Loren MéarDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Max KarlssonScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
María Bueno ÁlvezScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Andreas DigreDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Rutger SchuttenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Borbala KatonaDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Jimmy VuuDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Emil LindströmDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Feria HikmetDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Han JinScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Meng YuanScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Xiangyu LiScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Hong YangScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Xiya SongScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Evelina SjöstedtScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Fredrik EdforsScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Per OksvoldScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Kalle von FeilitzenScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Martin ZwahlenScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Mattias ForsbergScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Fredric JohanssonScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Jan MulderDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Tomas HökfeltDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Yonglun LuoSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
Lynn ButlerDepartment of Clinical Medicine, The Arctic University of Norway, Tromsø, Norway.
Wen ZhongDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Adil MardinogluScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Åsa SivertssonScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Fredrik PontenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Linn FagerbergScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Cecilia LindskogDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Mathias UhlénScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilfielab.se.
Cheng ZhangScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden. chengzh@kth.se.

Funding

Knut och Alice Wallenbergs Stiftelse KAW 2020.0239
6 · The paper itself

Abstract

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.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisTranscriptomeHumansOrgan SpecificityCell type classificationGene expression mappingHuman Protein AtlasSingle-cell

Identifiers

PMID40462185
PMCPMC12131445

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.