Evidence map›Paper›PMID 42371963›Full record

ArticleJournal of visualized experiments : JoVE2026

Spatially Resolved, Integrated Single-Cell Multiomic Profiling of the Transcriptome and Epigenomic Targets in Frozen Tissue Sections.

Ting Zhang, Fatemeh S Farassati, Alejandro Stark-Quiroz, Yuanhang Liu, Nick M Huynh, Yujiro Hayashi, Tamas Ordog, Jeong-Heon Lee

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2026. 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

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.

Ting ZhangEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science.
Fatemeh S FarassatiEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science.
Alejandro Stark-QuirozEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science.
Yuanhang LiuDivision of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science.
Nick M HuynhEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science.
Yujiro HayashiEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science.
Tamas OrdogEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science; ordog.tamas@mayo.edu.
Jeong-Heon LeeEnteric Neuroscience Program and Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science; Gastroenterology Research Unit, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic College of Medicine and Science; Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine and Science; lee.jeongheon@mayo.edu.

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI Samar Ibrahim · 2009 to 2026
$22.2M
Epigenetic dysregulation in diabetic enteric neuropathyR01DK126827 · NIDDK · MAYO CLINIC ROCHESTER · PI ORDOG, TAMAS · 2021 to 2024
$2.1M
Single-cell epigenomics and transcriptomics of diabetic gastroparesis in humansR01DK131455 · NIDDK · MAYO CLINIC ROCHESTER · PI BHARUCHA, ADIL E., ORDOG, TAMAS · 2021 to 2025
$2.0M
Novel role of Ezh2 in age-related gastric motility dysfunctionsR01DK121766 · NIDDK · MAYO CLINIC ROCHESTER · PI HAYASHI, YUJIRO NA · 2020 to 2023
$1.4M
Molecular mechanisms of sexually dimorphic traits of interstitial cells of Cajal and their role in gastrointestinal neuromuscular disordersR01DK142826 · NIDDK · MAYO CLINIC ROCHESTER · PI Tamas Ordog · 2026 to 2026
$635k
NIDDK NIH HHS P30 DK084567NIDDK NIH HHS R01 DK121766NIDDK NIH HHS R01 DK126827NIDDK NIH HHS R01 DK131455NIDDK NIH HHS R01 DK142826
6 · The paper itself

Abstract

Spatial multiomic technologies combined with single-cell profiling offer unprecedented opportunities to elucidate the molecular and cellular architecture of complex tissues. Combining spatial barcoding of nuclei within individual cryosections prepared from tissue blocks embedded in optimal cutting temperature (OCT) freezing medium with single-cell multiomic assays into a simple and efficient workflow can facilitate the annotation and spatially resolved molecular analysis of cells in tissue types. This study reports a spatial cleavage under targets & tagmentation (CUT&Tag) multiome approach that simultaneously profiles histone H3K27ac modification and gene expression in a single frozen brain section. Following spatial barcoding, single nuclei are isolated and subjected to CUT&Tag, combined capture of tagmented DNAs, RNAs, and spatial barcodes, library preparation, and sequencing. The workflow generates spatially annotated epigenomic and transcriptomic profiles from the same nuclei, enabling assignment of the multiomic information to anatomical coordinates. Integrating epigenomic information with spatial transcriptomic data increases the fidelity of cell-type identification and reveals spatially organized regulatory programs and cell-cell interactions within intact tissues.

Indexed as

EpigenomicsFrozen SectionsGene Expression ProfilingSingle-Cell AnalysisTranscriptomeAnimalsBrainMultiomicsSingle-Cell Gene Expression AnalysisSpatial Transcriptomics

Identifiers

PMID42371963
PMCPMC13450693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.