Evidence map›Paper›PMID 38859584›Full record

ReviewBiophysical journal2024

Biophysics of claudin proteins in tight junction architecture: Three decades of progress.

Patrick Marsch, Nandhini Rajagopal, Shikha Nangia

Abstract readReview
In one paragraph

Review in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  17. Review
  18. Study on the therapeutic potential ofFrontiers in veterinary science · 2025
    Article
  19. Article
  20. 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

3 authors.

Patrick MarschDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York.
Nandhini RajagopalDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York.
Shikha NangiaDepartment of Biomedical and Chemical Engineering, Syracuse University, Syracuse, New York. Electronic address: snangia@syr.edu.

Funding

Breakthrough Molecular Dynamics Research via an Anton2 SupercomputerR01GM116961 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D. · 2016 to 2023
$3.0M
NIGMS NIH HHS R01 GM116961
6 · The paper itself

Abstract

Tight junctions are cell-cell adhesion complexes that act as gatekeepers of the paracellular space. Formed by several transmembrane proteins, the claudin family performs the primary gate-keeping function. The claudin proteins form charge and size-selective diffusion barriers to maintain homeostasis across endothelial and epithelial tissue. Of the 27 known claudins in mammals, some are known to seal the paracellular space, while others provide selective permeability. The differences in permeability arise due to the varying expression levels of claudins in each tissue. The tight junctions are observed as strands in freeze-fracture electron monographs; however, at the molecular level, tight junction strands form when multiple claudin proteins assemble laterally (cis assembly) within a cell and head-on (trans assembly) with claudins of the adjacent cell in a zipper-like architecture, closing the gap between the neighboring cells. The disruption of tight junctions caused by changing claudin expression levels or mutations can lead to diseases. Therefore, knowledge of the molecular architecture of the tight junctions and how that is tied to tissue-specific function is critical for fighting diseases. Here, we review the current understanding of the tight junctions accrued over the last three decades from experimental and computational biophysics perspectives.

Indexed as

ClaudinsTight JunctionsAnimalsHumansClaudins

Identifiers

PMID38859584
PMCPMC11365114

What OpenQuestion holds

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Registered trials

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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.