Evidence map›Paper›PMID 41405654›Full record

ReviewCell regeneration (London, England)2025

When imaging technology meets single-cell omics: new paradigm in developmental biology.

Chunling Wang, Xuejing Zhang, Yifan Zhang, Feng Liu

Abstract readReview
In one paragraph

Review in Cell regeneration (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors.

Chunling Wang *Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0005-3815-8166
Xuejing Zhang *Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0009-0693-1774
Yifan Zhang *Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266237, China.ORCID http://orcid.org/0009-0000-0635-4967
Feng LiuShandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266237, China. liuf@sdu.edu.cn.ORCID http://orcid.org/0000-0003-3228-0943

Funding

National Natural Science Foundation of China 92468201
6 · The paper itself

Abstract

Advanced imaging and single-cell omics technologies are fundamentally transforming developmental biology research, shifting it from static observation to dynamic, spatially resolved systems biology. Super-resolution microscopy breaks the diffraction barrier to visualize nanoscale subcellular dynamics, while light-sheet fluorescence microscopy enables long-term, multi-scale volumetric imaging of living specimens. In parallel, single-cell omics (e.g., transcriptomics and proteomics) decipher molecular heterogeneity and lineage trajectories, and spatially resolved transcriptomics maps gene expression within native tissue contexts at subcellular resolution. However, each approach has inherent limitations: imaging lacks deep molecular profiling, while dissociation-based omics loses spatial context. This review highlights how the integration of these technologies bridges cellular behaviors with molecular mechanisms, providing unprecedented multi-scale perspectives on key developmental processes-including embryogenesis, organogenesis, neural patterning, and disease progression. By synergistically capturing the "when," "where," and "how" of developmental processes, this convergence resolves longstanding questions and establishes a new mechanistic and predictive paradigm in developmental biology.

Indexed as

Developmental biologyImaging technologiesIntegrationSingle-cell omicsSpatial omics

Identifiers

PMID41405654
PMCPMC12712248

What OpenQuestion holds

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LicenceCC BY
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.