Evidence map›Paper›PMID 34520004›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Organ-on-Chips for Studying Tissue Barriers: Standard Techniques and a Novel Method for Including Porous Membranes Within Microfluidic Devices.

Mattia Ballerini, Mohammad Jouybar, Andrea Mainardi, Marco Rasponi, Giovanni Stefano Ugolini

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. AnFrontiers in bioengineering and biotechnology · 2023
    Article
  4. 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.

Mattia BalleriniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Mohammad JouybarMicrosystems, Eindhoven University of Technology, Eindhoven, The Netherlands.
Andrea MainardiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Marco RasponiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Giovanni Stefano UgoliniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. giovannistefano.ugolini@polimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A relevant number of organ-on-chips is aimed at modeling epithelial/endothelial interfaces between tissue compartments. These barriers help tissue function either by protecting (e.g., endothelial blood-brain barrier) or by orchestrating relevant molecular exchanges (e.g., lung alveolar interface) in human organs. Models of these biological systems are aimed at characterizing the transport of molecules, drugs or drug carriers through these specific barriers. Multilayer microdevices are particularly appealing to this goal and techniques for embedding porous membranes within organ-on-chips are therefore at the basis of the development and use of such systems. Here, we discuss and provide procedures for embedding porous membranes within multilayer organ-on-chips. We present standard techniques involving both custom-made polydimethylsiloxane (PDMS) membranes and commercially available plastic membranes. In addition, we present a novel method for fabricating and bonding PDMS porous membranes by using a cost-effective epoxy resin in place of microfabricated silicon wafers as master molds.

Indexed as

Lab-On-A-Chip DevicesMicrofluidicsEndotheliumHumansMembranesPorosityMicrofluidicsMultilayer microdevicesOrgan-on-chipPorous membranesReplica molding

Identifiers

PMID34520004

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.