Evidence map›Paper›PMID 42521808›Full record

ArticleNature biomedical engineering2026

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

Xianglin Ji, Peilin Fang, Youyang Wan, Xi Zhao, Chuanyin Xiong, Feng Guo, Qi Yang, Richard Yan-Do, Lin Qi, Chenjie Xu and 6 more

Abstract read
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Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Xianglin Ji *Department of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Peilin Fang *Department of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Youyang Wan *Department of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Xi Zhao *Department of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Chuanyin Xiong *College of Bioresources Chemical and Materials Engineering, Shanxi University of Science and Technology, Xi'an, China.
Feng Guo *Department of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4447-4219
Qi YangCollege of Bioresources Chemical and Materials Engineering, Shanxi University of Science and Technology, Xi'an, China.
Richard Yan-DoDepartment of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Lin QiDepartment of Biomedical Sciences, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Chenjie XuDepartment of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.
Xin WangDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-5122-2418
Linfeng HuangWang-Cai Biochemistry Lab, Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China.ORCID http://orcid.org/0000-0002-0322-4929
Wenjun ZhangDepartment of Material Sciences and Engineering, College of Engineering, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-4497-0688
Zixun WangDepartment of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-0252-2737
Jia KeDepartment of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Biomedical Innovation Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Peng ShiDepartment of Biomedical Engineering, College of Biomedicine, City University of Hong Kong, Hong Kong, China. pengshi@cityu.edu.hk.ORCID http://orcid.org/0000-0003-0629-4161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 N

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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.