Evidence map›Paper›PMID 37349575›Full record

ArticleNature methods2023

Expansion spatial transcriptomics.

Yuhang Fan, Žaneta Andrusivová, Yunming Wu, Chew Chai, Ludvig Larsson, Mengxiao He, Liqun Luo, Joakim Lundeberg, Bo Wang

Abstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
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  5. Article
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  9. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Article
  11. Article
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  19. Diabetic neuropathy: cutting-edge research and future directions.Signal transduction and targeted therapy · 2025
    Review
  20. 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

9 authors.

Yuhang Fan *Department of Bioengineering, Stanford University, Stanford, CA, USA.
Žaneta Andrusivová *Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
Yunming WuDepartment of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
Chew ChaiDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Ludvig LarssonDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4209-2911
Mengxiao HeDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5905-8467
Liqun LuoDepartment of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5467-9264
Joakim LundebergDepartment of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden. joakim.lundeberg@scilifelab.se.ORCID http://orcid.org/0000-0003-4313-1601
Bo WangDepartment of Bioengineering, Stanford University, Stanford, CA, USA. wangbo@stanford.edu.ORCID http://orcid.org/0000-0001-8880-1432

Funding

Comparative systems biology defines regulatory mechanisms in whole-body regenerationR35GM138061 · NIGMS · STANFORD UNIVERSITY · PI Bo Wang · 2020 to 2026
$2.5M
NIGMS NIH HHS R35 GM138061
6 · The paper itself

Abstract

Capture array-based spatial transcriptomics methods have been widely used to resolve gene expression in tissues; however, their spatial resolution is limited by the density of the array. Here we present expansion spatial transcriptomics to overcome this limitation by clearing and expanding tissue prior to capturing the entire polyadenylated transcriptome with an enhanced protocol. This approach enables us to achieve higher spatial resolution while retaining high library quality, which we demonstrate using mouse brain samples.

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsGene LibraryMicePoly APoly A

Identifiers

PMID37349575
PMCPMC11078125

What OpenQuestion holds

Textmetadata
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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.