Evidence map›Paper›PMID 35837553›Full record

ReviewFrontiers in bioengineering and biotechnology2022

Insights into intercellular receptor-ligand binding kinetics in cell communication.

Chenyi An, Xiaohuan Wang, Fan Song, Jinglei Hu, Long Li

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Receptor-Ligand Binding: Effect of Mechanical Factors.International journal of molecular sciences · 2023
    Review
  11. 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

5 authors at 5 institutions in 1 country.

Chenyi AnSchool of Biology and Engineering, Guizhou Medical University, Guiyang, China.
Xiaohuan WangDepartment of Rehabilitation Medicine, Peking University Third Hospital, Beijing, China.
Fan SongState Key Laboratory of Nonlinear Mechanics and Beijing Key Laboratory of Engineered Construction and Mechanobiology, Institute of Mechanics, Chinese Academy of Sciences, Beijing, China.
Jinglei HuKuang Yaming Honors School and Institute for Brain Sciences, Nanjing University, Nanjing, China.
Long LiState Key Laboratory of Nonlinear Mechanics and Beijing Key Laboratory of Engineered Construction and Mechanobiology, Institute of Mechanics, Chinese Academy of Sciences, Beijing, China.
Guiyang Medical University · CNInstitute of Mechanics · CNNanjing University · CNPeking University · CNState Key Laboratory of Nonlinear Mechanics

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-cell communication is crucial for cells to sense, respond and adapt to environmental cues and stimuli. The intercellular communication process, which involves multiple length scales, is mediated by the specific binding of membrane-anchored receptors and ligands. Gaining insight into two-dimensional receptor-ligand binding kinetics is of great significance for understanding numerous physiological and pathological processes, and stimulating new strategies in drug design and discovery. To this end, extensive studies have been performed to illuminate the underlying mechanisms that control intercellular receptor-ligand binding kinetics

Indexed as

bioelectric microenvironmentbiomechanical forcecell communicationintercellular receptor-ligand binding kineticsprotein-membrane interaction

Identifiers

PMID35837553
PMCPMC9273785
OpenAlexW4283662228

What OpenQuestion 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 OpenQuestion graph.