Efficient Spatial Gene Expression Profiling Using Split‐Probe Ligation and Rolling Circle Amplification

Spatial transcriptomics has transformed the understanding of gene regulation by enabling high-resolution mapping of RNA molecules within their native cellular and tissue environments. This is typically accomplished by capturing or imaging RNA in situ, thereby preserving spatial context. Here, an in situ RNA imaging method based on split-probe ligation and rolling circle amplification (RCA) for profiling spatial gene expression is introduced. In this approach, split-probes hybridize to adjacent regions of a target RNA fragment and are then enzymatically ligated to form circular DNA templates, which are subsequently amplified via RCA to boost the signal. It is demonstrated that this method enables robust in situ RNA detection and genotyping in both tissue sections and whole-mount tissue samples. By coupling this technique with in situ sequencing, the spatial expression patterns of 82 genes in the kidneys of healthy and diabetic male and female mice are mapped. This analysis reveals distinct localization of Aqp4 in proximal tubules and principal cells of the collecting ducts, and uncovers sex-specific transcriptomic alterations in diabetic kidneys with spatial resolution.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-12-02
DOI
https://doi.org/10.1002/smtd.202501615
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Spatial Gene Expression Profiling Using Split‐Probe Ligation and Rolling Circle Amplification

Yingyu Huang, Ling-Yu Zhu, Hui Lin, Zhaoxiang Xie et al.
Small Methods
Single-cell and spatial transcriptomics
article

Efficient Spatial Gene Expression Profiling Using Split‐Probe Ligation and Rolling Circle Amplification

Yingyu Huang, Ling-Yu Zhu, Hui Lin, Zhaoxiang Xie, Rongqin Ke, Weiyan Ma, B. Zhang, Wenhua Li, Lin Chen, Yuyuan Shi, Yanxiu Liu, Yu Yang, Xueqian Xia
article en

Abstract

Spatial transcriptomics has transformed the understanding of gene regulation by enabling high-resolution mapping of RNA molecules within their native cellular and tissue environments. This is typically accomplished by capturing or imaging RNA in situ, thereby preserving spatial context. Here, an in situ RNA imaging method based on split-probe ligation and rolling circle amplification (RCA) for profiling spatial gene expression is introduced. In this approach, split-probes hybridize to adjacent regions of a target RNA fragment and are then enzymatically ligated to form circular DNA templates, which are subsequently amplified via RCA to boost the signal. It is demonstrated that this method enables robust in situ RNA detection and genotyping in both tissue sections and whole-mount tissue samples. By coupling this technique with in situ sequencing, the spatial expression patterns of 82 genes in the kidneys of healthy and diabetic male and female mice are mapped. This analysis reveals distinct localization of Aqp4 in proximal tubules and principal cells of the collecting ducts, and uncovers sex-specific transcriptomic alterations in diabetic kidneys with spatial resolution.

Small MethodsVol. 10(3)
Huaqiao University (CN), The 180th Hospital of PLA (CN)
Openalex Percentile: Top 66%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficient Spatial Gene Expression Profiling Using Split‐Probe Ligation and Rolling Circle Amplification — Yingyu Huang, Ling-Yu Zhu, et al. · Small Methods (2025) | TGRS Research Map | TGRS