Evidence map›Paper›PMID 37373416›Full record

ArticleInternational journal of molecular sciences2023

In-Depth Analysis of the Pancreatic Extracellular Matrix during Development for Next-Generation Tissue Engineering.

Laura Glorieux, Laura Vandooren, Sylvie Derclaye, Sébastien Pyr Dit Ruys, Paloma Oncina-Gil, Anna Salowka, Gaëtan Herinckx, Elias Aajja, Pascale Lemoine, Catherine Spourquet and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

17 authors at 4 institutions in 2 countries.

Laura GlorieuxCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-0927-066X
Laura VandoorenCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.
Sylvie DerclayeNanobiophysics Lab, Louvain Institute of Biomolecular Science and Technology, UCLouvain, 1348 Louvain-la-Neuve, Belgium.
Sébastien Pyr Dit RuysLouvain Drug Research Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-5449-1541
Paloma Oncina-GilNanobiophysics Lab, Louvain Institute of Biomolecular Science and Technology, UCLouvain, 1348 Louvain-la-Neuve, Belgium.
Anna SalowkaCentre for Gene Therapy and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
Gaëtan Herinckxde Duve Institute and MASSPROT Platform, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-3050-4459
Elias AajjaCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0009-0008-9502-0560
Pascale LemoineCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.
Catherine SpourquetCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-6799-1879
Hélène LefortCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.
Patrick HenrietCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.
Donatienne TytecaCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-7334-2648
Francesca M SpagnoliCentre for Gene Therapy and Regenerative Medicine, King's College London, Great Maze Pond, London SE1 9RT, UK.
David AlsteensNanobiophysics Lab, Louvain Institute of Biomolecular Science and Technology, UCLouvain, 1348 Louvain-la-Neuve, Belgium.ORCID 0000-0001-9229-113X
Didier Vertommende Duve Institute and MASSPROT Platform, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0001-7648-8282
Christophe E PierreuxCell Biology Unit, de Duve Institute, UCLouvain, 1200 Brussels, Belgium.ORCID 0000-0002-9647-2816
de Duve Institute · BEUCLouvain · BEKing's College London · GBSolvay (Belgium) · BE

Funding

European Union's Horizon 2020 800981FRIA FC 31673
6 · The paper itself

Abstract

The pancreas is a complex organ consisting of differentiated cells and extracellular matrix (ECM) organized adequately to enable its endocrine and exocrine functions. Although much is known about the intrinsic factors that control pancreas development, very few studies have focused on the microenvironment surrounding pancreatic cells. This environment is composed of various cells and ECM components, which play a critical role in maintaining tissue organization and homeostasis. In this study, we applied mass spectrometry to identify and quantify the ECM composition of the developing pancreas at the embryonic (E) day 14.5 and postnatal (P) day 1 stages. Our proteomic analysis identified 160 ECM proteins that displayed a dynamic expression profile with a shift in collagens and proteoglycans. Furthermore, we used atomic force microscopy to measure the biomechanical properties and found that the pancreatic ECM was soft (≤400 Pa) with no significant change during pancreas maturation. Lastly, we optimized a decellularization protocol for P1 pancreatic tissues, incorporating a preliminary crosslinking step, which effectively preserved the 3D organization of the ECM. The resulting ECM scaffold proved suitable for recellularization studies. Our findings provide insights into the composition and biomechanics of the pancreatic embryonic and perinatal ECM, offering a foundation for future studies investigating the dynamic interactions between the ECM and pancreatic cells.

Indexed as

ProteomicsTissue EngineeringExtracellular MatrixExtracellular Matrix ProteinsPancreasPancreatic HormonesTissue ScaffoldsExtracellular Matrix ProteinsPancreatic Hormonesatomic force microscopydecellularizationdevelopmentextracellular matrixpancreasproteomics

Identifiers

PMID37373416
PMCPMC10299253
OpenAlexW4381252605

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.