Evidence map›Paper›PMID 34714332›Full record

ReviewJournal of cell science2021

How cells tell up from down and stick together to construct multicellular tissues - interplay between apicobasal polarity and cell-cell adhesion.

Claudia G Vasquez, Eva L de la Serna, Alexander R Dunn

Abstract readReview
In one paragraph

Review in Journal of cell science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Claudia G VasquezDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-3030-4828
Eva L de la SernaDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0166-8750
Alexander R DunnDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6096-4600

Funding

Molecular mechanisms underlying force transduction at cellular adhesion complexesR35GM130332 · NIGMS · STANFORD UNIVERSITY · PI Alexander R Dunn · 2019 to 2026
$4.9M
Howard Hughes Medical InstituteNIGMS NIH HHS R35 GM130332NIH HHS R35-GM130332
6 · The paper itself

Abstract

Polarized epithelia define a topological inside and outside, and hence constitute a key evolutionary innovation that enabled the construction of complex multicellular animal life. Over time, this basic function has been elaborated upon to yield the complex architectures of many of the organs that make up the human body. The two processes necessary to yield a polarized epithelium, namely regulated adhesion between cells and the definition of the apicobasal (top-bottom) axis, have likewise undergone extensive evolutionary elaboration, resulting in multiple sophisticated protein complexes that contribute to both functions. Understanding how these components function in combination to yield the basic architecture of a polarized cell-cell junction remains a major challenge. In this Review, we introduce the main components of apicobasal polarity and cell-cell adhesion complexes, and outline what is known about their regulation and assembly in epithelia. In addition, we highlight studies that investigate the interdependence between these two networks. We conclude with an overview of strategies to address the largest and arguably most fundamental unresolved question in the field, namely how a polarized junction arises as the sum of its molecular parts.

Indexed as

Cell PolarityIntercellular JunctionsAnimalsCell AdhesionEpithelial CellsEpitheliumHumansAdhesionCrosstalkPolarity

Identifiers

PMID34714332
PMCPMC8627555

What OpenQuestion holds

Textmetadata
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.