Evidence map›Paper›PMID 40498842›Full record

ArticleScience advances2025

Nucleolar beacon for monitoring nucleolar morphology and proteomics in living cells.

Jiajia Gao, Wenjie Sun, Yuting Chen, Tianqi Liu, Zhenhuang Ge, Wenwen Xu, Yongjun Lu, Weiqiang Wang, Jinming Ma, Honghua Ge

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

10 authors.

Jiajia GaoInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, P. R. China.ORCID 0009-0002-1019-8463
Wenjie SunInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.
Yuting ChenInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.
Tianqi LiuInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.
Zhenhuang GeSchool of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P. R. China.
Wenwen XuInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.
Yongjun LuSchool of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P. R. China.ORCID 0000-0002-3030-5724
Weiqiang WangInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.ORCID 0000-0002-6962-8811
Jinming MaInstitute of Health Sciences and Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, P. R. China.ORCID 0000-0002-3199-9860
Honghua GeInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, P. R. China.ORCID 0000-0001-7176-6853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nucleolus is essential for ribosome biogenesis and stress regulation. However, because of its dynamic nature, there is still a lack of methods to specifically visualize nucleolar localization in living cells and to study dynamic changes in protein interaction networks within the cell nucleolus. In this study, we identified and engineered a signal peptide sequence, termed nucleolar beacon, which exhibits robust nucleolar localization and universal applicability across various mammalian cell types. Using this sequence, we established nucleolar indicator cell lines and demonstrated their practicality in studying nucleolar functions in living cells. In addition, by combining the signal peptide with proximity labeling technology, we developed an effective approach for capturing the nucleolar proteome and successfully identified nucleolar-associated proteins. These techniques provide effective and versatile tools for investigating nucleolar functions in living cells and offer a potential strategy for drug delivery applications.

Indexed as

Cell NucleolusProteomicsAnimalsHeLa CellsHumansProtein Sorting SignalsProteomeProtein Sorting SignalsProteome

Identifiers

PMID40498842
PMCPMC12154232

What OpenQuestion holds

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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.