Evidence map›Paper›PMID 39304896›Full record

ReviewProteome science2024

Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases.

Mengyao Wu, Huihui Tao, Tiantian Xu, Xuejia Zheng, Chunmei Wen, Guoying Wang, Yali Peng, Yong Dai

Abstract readReview
In one paragraph

Review in Proteome science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  7. Article
  8. Article
  9. MR-SPJournal of proteome research · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
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  17. Insights into the maternal-fetal interface from spatial multi-omics.Frontiers in cell and developmental biology · 2026
    Review
  18. Review
  19. Review
  20. Future Research Directions on Mycobacterium tuberculosis Proteins.Advances in experimental medicine and biology · 2026
    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

8 authors.

Mengyao WuSchool of Medicine, Anhui University of Science & Technology, Huainan, China.
Huihui Tao *School of Medicine, Anhui University of Science & Technology, Huainan, China. 475433093@qq.com.
Tiantian XuSchool of Medicine, Anhui University of Science & Technology, Huainan, China.
Xuejia ZhengThe First Hospital of Anhui University of Science and Technology, Huainan, China.
Chunmei WenSchool of Medicine, Anhui University of Science & Technology, Huainan, China.
Guoying WangSchool of Medicine, Anhui University of Science & Technology, Huainan, China.
Yali PengSchool of Medicine, Anhui University of Science & Technology, Huainan, China.
Yong Dai *School of Medicine, Anhui University of Science & Technology, Huainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial proteomics is a multidimensional technique that studies the spatial distribution and function of proteins within cells or tissues across both spatial and temporal dimensions. This field multidimensionally reveals the complex structure of the human proteome, including the characteristics of protein spatial distribution, dynamic protein translocation, and protein interaction networks. Recently, as a crucial method for studying protein spatial localization, spatial proteomics has been applied in the clinical investigation of various diseases. This review summarizes the fundamental concepts and characteristics of tissue-level spatial proteomics, its research progress in common human diseases such as cancer, neurological disorders, cardiovascular diseases, autoimmune diseases, and anticipates its future development trends. The aim is to highlight the significant impact of spatial proteomics on understanding disease pathogenesis, advancing diagnostic methods, and developing potential therapeutic targets in clinical research.

Indexed as

DiseaseDSPFluorescent antibodyMass spectrometrySpatial proteomics

Identifiers

PMID39304896
PMCPMC11416001

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.