Evidence map›Paper›PMID 40631194›Full record

ArticlebioRxiv : the preprint server for biology2025

Spatial joint profiling of DNA methylome and transcriptome in mammalian tissues.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Chin Nien LeeDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Hongxiang FuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Angelysia CardillaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Wanding ZhouDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-9126-1932
Yanxiang DengDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.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 dynamics is fundamental to understanding tissue biology. Spatial profiling of DNA methylation, which is a canonical epigenetic mark extensively implicated in transcriptional regulation, remains an unmet demand. Here, we introduce a method for whole genome spatial co-profiling of DNA methylation and transcriptome of the same tissue section at near single-cell resolution. Applying this technology to mouse embryogenesis and postnatal brain resulted in rich DNA-RNA bimodal tissue maps. These maps revealed the spatial context of known methylation biology and its interplay with gene expression. The two modalities' concordance and distinction in spatial patterns highlighted a synergistic molecular definition of cell identity in spatial programming of mammalian development and brain function. By integrating spatial maps of mouse embryos at two different developmental stages, we reconstructed the dynamics of both epigenome and transcriptome underlying mammalian embryogenesis, revealing details in sequence, cell type, and region-specific methylation-mediated transcriptional regulation. This method extends the scope of spatial omics to DNA cytosine methylation for a more comprehensive understanding of tissue biology over development and disease.

Identifiers

PMID40631194
PMCPMC12236673

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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.