Evidence map›Paper›PMID 34857782›Full record

ArticleNature communications2021

Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver.

Franziska Hildebrandt, Alma Andersson, Sami Saarenpää, Ludvig Larsson, Noémi Van Hul, Sachie Kanatani, Jan Masek, Ewa Ellis, Antonio Barragan, Annelie Mollbrink and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
11.9field-weighted citation impact, top 1% of its field
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

121 citing papers in PubMed, 189 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Investigating Spatial Dynamics in Spatial Omics Data with StarTrail.Journal of the American Statistical Association · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. [Research advances on hepatocyte zonal changes in metabolic associated fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  18. Article
  19. p16Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  20. Article

61 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 2 countries.

Franziska HildebrandtDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, SE-106 91, Stockholm, Sweden. franziska.hildebrandt@su.se.ORCID http://orcid.org/0000-0002-2673-1704
Alma AnderssonScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a, SE-171 65, Solna, Sweden.
Sami Saarenpää *Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a, SE-171 65, Solna, Sweden.
Ludvig Larsson *Science for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a, SE-171 65, Solna, Sweden.ORCID http://orcid.org/0000-0003-4209-2911
Noémi Van Hul *Department of Cell and Molecular Biology, Karolinska Institutet Stockholm, SE-171 77, Solna, Sweden.ORCID http://orcid.org/0000-0003-1410-8808
Sachie KanataniDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, SE-106 91, Stockholm, Sweden.
Jan MasekDepartment of Cell and Molecular Biology, Karolinska Institutet Stockholm, SE-171 77, Solna, Sweden.ORCID http://orcid.org/0000-0003-2904-3808
Ewa EllisDepartment of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 141-86, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3057-5337
Antonio BarraganDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, SE-106 91, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7746-9964
Annelie MollbrinkScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a, SE-171 65, Solna, Sweden.
Emma R AnderssonDepartment of Cell and Molecular Biology, Karolinska Institutet Stockholm, SE-171 77, Solna, Sweden.ORCID http://orcid.org/0000-0002-8608-625X
Joakim LundebergScience for Life Laboratory, Department of Gene Technology, KTH Royal Institute of Technology, Tomtebodavägen 23a, SE-171 65, Solna, Sweden.ORCID http://orcid.org/0000-0003-4313-1601
Johan AnkarklevDepartment of Molecular Biosciences, the Wenner-Gren Institute, Stockholm University, Svante Arrhenius Väg 20C, SE-106 91, Stockholm, Sweden. johan.ankarklev@su.se.ORCID http://orcid.org/0000-0003-3170-8493
Science for Life Laboratory · SEKarolinska Institutet · SEStockholm University · SECharles University · CZUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstruction of heterogeneity through single cell transcriptional profiling has greatly advanced our understanding of the spatial liver transcriptome in recent years. However, global transcriptional differences across lobular units remain elusive in physical space. Here, we apply Spatial Transcriptomics to perform transcriptomic analysis across sectioned liver tissue. We confirm that the heterogeneity in this complex tissue is predominantly determined by lobular zonation. By introducing novel computational approaches, we enable transcriptional gradient measurements between tissue structures, including several lobules in a variety of orientations. Further, our data suggests the presence of previously transcriptionally uncharacterized structures within liver tissue, contributing to the overall spatial heterogeneity of the organ. This study demonstrates how comprehensive spatial transcriptomic technologies can be used to delineate extensive spatial gene expression patterns in the liver, indicating its future impact for studies of liver function, development and regeneration as well as its potential in pre-clinical and clinical pathology.

Indexed as

Genetic HeterogeneityTranscriptomeAnimalsB-LymphocytesDendritic CellsEndothelial CellsErythroblastsFemaleGene Expression ProfilingGene OntologyHepatocytesKupffer CellsLiverMacrophagesMiceMice, Inbred C57BL

Identifiers

PMID34857782
PMCPMC8640072
OpenAlexW3216124552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.