Evidence map›Paper›PMID 39727221›Full record

ArticleeLife2024

Three-dimensional single-cell transcriptome imaging of thick tissues.

Rongxin Fang, Aaron Halpern, Mohammed Mostafizur Rahman, Zhengkai Huang, Zhiyun Lei, Sebastian J Hell, Catherine Dulac, Xiaowei Zhuang

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  8. Spatial Multiomics Reveal Insights Into ADC Efficacy.European journal of immunology · 2026
    Review
  9. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Article
  11. Review
  12. Review
  13. Spatial architecture of development and disease.Nature reviews. Genetics · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

8 authors.

Rongxin Fang *Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0003-0107-7504
Aaron Halpern *Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.
Mohammed Mostafizur RahmanHoward Hughes Medical Institute, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, United States.
Zhengkai HuangHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.
Zhiyun LeiHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.
Sebastian J HellHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.ORCID https://orcid.org/0009-0006-6291-9639
Catherine DulacHoward Hughes Medical Institute, Department of Molecular and Cellular Biology, Center for Brain Science, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0001-5024-5418
Xiaowei ZhuangHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Center for Brain Science, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-6034-7853

Funding

Spatial genomics and cell atlas of the human brainR01MH134800 · NIMH · HARVARD UNIVERSITY · PI XIAOWEI ZHUANG · 2024 to 2026
$2.4M
NIMH NIH HHS R01 MH134800
6 · The paper itself

Abstract

Multiplexed error-robust fluorescence in situ hybridization (MERFISH) allows genome-scale imaging of RNAs in individual cells in intact tissues. To date, MERFISH has been applied to image thin-tissue samples of ~10 µm thickness. Here, we present a thick-tissue three-dimensional (3D) MERFISH imaging method, which uses confocal microscopy for optical sectioning, deep learning for increasing imaging speed and quality, as well as sample preparation and imaging protocol optimized for thick samples. We demonstrated 3D MERFISH on mouse brain tissue sections of up to 200 µm thickness with high detection efficiency and accuracy. We anticipate that 3D thick-tissue MERFISH imaging will broaden the scope of questions that can be addressed by spatial genomics.

Indexed as

BrainImaging, Three-DimensionalIn Situ Hybridization, FluorescenceMicroscopy, ConfocalSingle-Cell AnalysisTranscriptomeAnimalsGene Expression ProfilingMicebraingenome-scale imagingMERFISHmouseneurosciencespatial genomicsspatial transcriptomicsthick-tissue imaging

Identifiers

PMID39727221
PMCPMC11677232

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.