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Sequencing-free spatial profiling of post-transcriptional regulation in fresh tissues using nanoneedle arrays

delete2026-07-28
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PRE
AI
X
Xianglin Ji
P
Peilin Fang
Y
Youyang Wan
X
Xi Zhao
C
Chuanyin Xiong
F
Feng Guo
Q
Qi Yang
R
Richard Yan-Do
L
Lin Qi
C
Chenjie Xu
王新 cover
王新 (Xin Wang)
L
Linfeng Huang
W
Wenjun Zhang
Z
Zixun Wang
J
Jia Ke
P
Peng Shi *
DOI:10.1038/s41551-026-01745-0delete
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Abstract

Abstract

En 中文
Spatial transcriptomics has transformed tissue analysis but remains constrained by high cost, complex workflows, sequencing dependence and limited access to post-transcriptional regulation in fresh tissues. Here we present a sequencing-free and amplification-free approach for the spatial profiling of post-transcriptional regulation across large tissue sections. The method operates on fresh, minimally processed tissue slices using a nanoneedle array to extract RNA molecules from individual cells while preserving spatial organization. Messenger RNAs, microRNAs and N6-methyladenosine-modified RNAs are quantified by multiplexed fluorescence encoding and imaging-based decoding at subcellular resolution. Benchmarking against fluorescence in situ hybridization, immunostaining and bulk measurements demonstrates sensitivity and spatial fidelity comparable to established spatial transcriptomics methods, with reduced cost and workflow complexity. We validate the approach by mapping patterned messenger RNA expression in developing mouse neural tissue and applying it to the olfactory bulb, a layered brain region that provides a stringent test of spatial heterogeneity. Finally, we demonstrate applicability to human biopsy specimens, enabling low cost spatial multi-omics analysis relevant to disease stratification and prognosis. A sequencing-free and amplification-free approach for the spatial profiling of post-transcriptional regulation across large tissue sections maps RNA regulation in developing mouse neural tissue and the olfactory bulb.

Journal

Nature Biomedical Engineering cover
Nature Biomedical Engineering
IF:
26.6
Papers:
1.7K
Citations:
2.0W

Organization

S
shanxi university of science and technology
Scholars:
7
Papers: 4
Citations: 0
S
Sun Yat-Sen University
Scholars:
7.8K
Papers: 2.0K
Citations: 0
T
the chinese university of hong kong
Scholars:
3.4K
Papers: 1.6K
Citations: 0
D
Duke Kunshan University
Scholars:
1.1K
Papers: 965
Citations: 1.5K
C
city university of hong kong
Scholars:
4.6K
Papers: 2.7K
Citations: 2
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