Evidence map›Paper›PMID 40376403›Full record

ReviewBiophysical reviews2025

Studying biological events using biopolymeric matrices.

Joao Aguilar, Silvana A Rosú, José Ulloa, German Gunther, Bruno F Urbano, M Alejandra Tricerri, Susana A Sánchez

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Joao AguilarLaboratorio de Interacciones Macromoleculares, Departamento de Polímeros, Facultad de Ciencias Químicas, Universidad de Concepción, Edmundo Larenas 129, Concepción, Chile.
Silvana A RosúFacultad de Ciencias Médicas, Instituto de Investigaciones Bioquímicas de La Plata "Dr Prof. Rodolfo R. Brenner" (INIBIOLP), CONICET, Universidad Nacional de La Plata, Calle 60 y 120, La Plata, Buenos Aires, Argentina.
José UlloaLaboratorio de Interacciones Macromoleculares, Departamento de Polímeros, Facultad de Ciencias Químicas, Universidad de Concepción, Edmundo Larenas 129, Concepción, Chile.
German GuntherFacultad de Ciencias Químicas y Farmacéuticas, Universidad de Chile, Santiago, Chile.
Bruno F UrbanoLaboratorio de Interacciones Macromoleculares, Departamento de Polímeros, Facultad de Ciencias Químicas, Universidad de Concepción, Edmundo Larenas 129, Concepción, Chile.
M Alejandra Tricerri *Facultad de Ciencias Médicas, Instituto de Investigaciones Bioquímicas de La Plata "Dr Prof. Rodolfo R. Brenner" (INIBIOLP), CONICET, Universidad Nacional de La Plata, Calle 60 y 120, La Plata, Buenos Aires, Argentina.
Susana A Sánchez *Laboratorio de Interacciones Macromoleculares, Departamento de Polímeros, Facultad de Ciencias Químicas, Universidad de Concepción, Edmundo Larenas 129, Concepción, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional methodologies to study in vitro biological processes include simplified laboratory models where different parameters can be measured in a very controlled environment. The most used of these practices is cell plate-culturing in aqueous media. In this minimalistic model, essential components of the biological system might be ignored. One of them, disregarded for a long time, is the extracellular matrix (ECM). Extracellular matrix in eukaryotic cells is not only a frame for cells and biological components, but also an active partner of cellular metabolism and participates in several normal and pathological biological processes in a dynamic manner. ECM of eukaryotic cells has a very complex structure. Also, its mechanical properties (stiffness, viscoelasticity) depend on the organ it is associated with, and may vary from a very fluid (plasma) to a very solid (bones) structure. ECM structure and composition are very dynamic and experience temporal structural and topological changes, affecting all the existing interactions. When mimicking the ECM, three aspects are considered: the chemical environment and the physical and structural properties. In this review, we present two lines of research studying the role of the ECM in two biological implications: membrane fluidity heterogeneity and protein retention and aggregation. For these studies, we used biopolymeric matrices with very controlled features to evaluate the two events. We use traditional biochemical techniques and fluorescence microscopy to study the biological systems and traditional polymer techniques (rheology, SEM) to characterize the polymeric matrices.

Indexed as

AmyloidosisCollagenExtracellular matrixLipid domains

Identifiers

PMID40376403
PMCPMC12075046

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.