Evidence map›Paper›PMID 40903587›Full record

ArticleNature2025

Spatial joint profiling of DNA methylome and transcriptome in tissues.

Chin Nien Lee, Hongxiang Fu, Angelysia Cardilla, Wanding Zhou, Yanxiang Deng

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  5. Article
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  7. Article
  8. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  17. Review
  18. Layering Methylome and Transcriptome in the Same Tissue Slice.Genomics, proteomics & bioinformatics · 2026
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chin Nien Lee *Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. chinnien.lee@pennmedicine.upenn.edu.ORCID 0000-0002-5867-5962
Hongxiang Fu *Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-9873-8606
Angelysia CardillaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Wanding ZhouDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. wanding.zhou@pennmedicine.upenn.edu.ORCID 0000-0001-9126-1932
Yanxiang DengDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA. yanxiang.deng@pennmedicine.upenn.edu.ORCID 0000-0002-9975-8086

Funding

Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
High-spatial-resolution multi-omics sequencing of brain lesions in multiple sclerosisDP2AI177913 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Yanxiang Deng · 2023 to 2026
$1.8M
NIAID NIH HHS DP2 AI177913NIGMS NIH HHS R35 GM146978
6 · The paper itself

Abstract

The spatial resolution of omics analyses is fundamental to understanding tissue biology

Indexed as

DNA MethylationEpigenomeGene Expression ProfilingTranscriptomeAnimalsBrainCytosineEmbryo, MammalianEmbryonic DevelopmentEpigenesis, GeneticFemaleGene Expression Regulation, DevelopmentalMaleMiceOrgan SpecificitySingle-Cell AnalysisCytosine

Identifiers

PMID40903587
PMCPMC12571926

What OpenQuestion holds

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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.