Evidence map›Paper›PMID 39107318›Full record

ReviewSignal transduction and targeted therapy2024

Cell-cell communication: new insights and clinical implications.

Jimeng Su, Ying Song, Zhipeng Zhu, Xinyue Huang, Jibiao Fan, Jie Qiao, Fengbiao Mao

Abstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 225 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
225citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Membrane-Associated Biomolecules for Synthetic Cell Signalling.Chembiochem : a European journal of chemical biology · 2026
    Review
  20. Article

165 more citing papers are in PubMed but not listed here.

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.

Jimeng Su *Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Ying Song *Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Zhipeng ZhuInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China.
Xinyue HuangBiomedical Research Institute, Shenzhen Peking University-the Hong Kong University of Science and Technology Medical Center, Shenzhen, China.
Jibiao FanCollege of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China.
Jie QiaoState Key Laboratory of Female Fertility Promotion, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. jie.qiao@263.net.
Fengbiao MaoInstitute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China. fengbiaomao@bjmu.edu.cn.

Funding

Beijing Municipal Science and Technology Commission 7224348Beijing Nova Program Z211100002121039National Natural Science Foundation of China (National Science Foundation of China) 32170656
6 · The paper itself

Abstract

Multicellular organisms are composed of diverse cell types that must coordinate their behaviors through communication. Cell-cell communication (CCC) is essential for growth, development, differentiation, tissue and organ formation, maintenance, and physiological regulation. Cells communicate through direct contact or at a distance using ligand-receptor interactions. So cellular communication encompasses two essential processes: cell signal conduction for generation and intercellular transmission of signals, and cell signal transduction for reception and procession of signals. Deciphering intercellular communication networks is critical for understanding cell differentiation, development, and metabolism. First, we comprehensively review the historical milestones in CCC studies, followed by a detailed description of the mechanisms of signal molecule transmission and the importance of the main signaling pathways they mediate in maintaining biological functions. Then we systematically introduce a series of human diseases caused by abnormalities in cell communication and their progress in clinical applications. Finally, we summarize various methods for monitoring cell interactions, including cell imaging, proximity-based chemical labeling, mechanical force analysis, downstream analysis strategies, and single-cell technologies. These methods aim to illustrate how biological functions depend on these interactions and the complexity of their regulatory signaling pathways to regulate crucial physiological processes, including tissue homeostasis, cell development, and immune responses in diseases. In addition, this review enhances our understanding of the biological processes that occur after cell-cell binding, highlighting its application in discovering new therapeutic targets and biomarkers related to precision medicine. This collective understanding provides a foundation for developing new targeted drugs and personalized treatments.

Indexed as

Cell CommunicationSignal TransductionAnimalsCell DifferentiationHumans

Identifiers

PMID39107318
PMCPMC11382761

What Socratic holds

Textmetadata
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 Socratic graph.