Evidence map›Paper›PMID 40033282›Full record

ReviewMolecular cancer2025

From morphology to single-cell molecules: high-resolution 3D histology in biomedicine.

Xintian Xu, Jimeng Su, Rongyi Zhu, Kailong Li, Xiaolu Zhao, Jibiao Fan, Fengbiao Mao

Abstract readReview
In one paragraph

Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Xintian Xu *Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Jimeng Su *Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Rongyi ZhuDepartment of Biochemistry and Molecular Biology, Beijing, Key Laboratory of Protein Posttranslational Modifications and Cell Function, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Kailong LiDepartment of Biochemistry and Molecular Biology, Beijing, Key Laboratory of Protein Posttranslational Modifications and Cell Function, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Xiaolu ZhaoState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and GynecologyNational Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital)Key Laboratory of Assisted Reproduction (Peking University), Ministry of EducationBeijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Peking University Third Hospital, Beijing, China. xiaolu_zhao@163.com.
Jibiao FanCollege of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China. fanjibiao11@126.com.
Fengbiao MaoInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China. fengbiaomao@bjmu.edu.cn.

Funding

National Natural Science Foundation of China Grant No. 32470835; No. 32170493
6 · The paper itself

Abstract

High-resolution three-dimensional (3D) tissue analysis has emerged as a transformative innovation in the life sciences, providing detailed insights into the spatial organization and molecular composition of biological tissues. This review begins by tracing the historical milestones that have shaped the development of high-resolution 3D histology, highlighting key breakthroughs that have facilitated the advancement of current technologies. We then systematically categorize the various families of high-resolution 3D histology techniques, discussing their core principles, capabilities, and inherent limitations. These 3D histology techniques include microscopy imaging, tomographic approaches, single-cell and spatial omics, computational methods and 3D tissue reconstruction (e.g. 3D cultures and spheroids). Additionally, we explore a wide range of applications for single-cell 3D histology, demonstrating how single-cell and spatial technologies are being utilized in the fields such as oncology, cardiology, neuroscience, immunology, developmental biology and regenerative medicine. Despite the remarkable progress made in recent years, the field still faces significant challenges, including high barriers to entry, issues with data robustness, ambiguous best practices for experimental design, and a lack of standardization across methodologies. This review offers a thorough analysis of these challenges and presents recommendations to surmount them, with the overarching goal of nurturing ongoing innovation and broader integration of cellular 3D tissue analysis in both biology research and clinical practice.

Indexed as

Imaging, Three-DimensionalSingle-Cell AnalysisAnimalsHumans

Identifiers

PMID40033282
PMCPMC11874780

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.