Evidence map›Paper›PMID 38436378›Full record

ArticleJournal of visualized experiments : JoVE2024

Transforming Static Barrier Tissue Models into Dynamic Microphysiological Systems.

Mehran Mansouri, Aidan R Hughes, Lauren A Audi, Anna E Carter, Justin A Vidas, James L McGrath, Vinay V Abhyankar

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Mehran MansouriDepartment of Biomedical Engineering, Rochester Institute of Technology.
Aidan R HughesDepartment of Biomedical Engineering, Rochester Institute of Technology.
Lauren A AudiDepartment of Biomedical Engineering, Rochester Institute of Technology.
Anna E CarterDepartment of Biomedical Engineering, Rochester Institute of Technology.
Justin A VidasDepartment of Biomedical Engineering, Rochester Institute of Technology.
James L McGrathDepartment of Biomedical Engineering, University of Rochester.
Vinay V AbhyankarDepartment of Biomedical Engineering, Rochester Institute of Technology; vvabme@rit.edu.
Rochester Institute of Technology · USUniversity of Rochester · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
The µSiM-hNVU - a human BBB platform for the study of brain injury mechanisms during systemic infectionR33HL154249 · NHLBI · UNIVERSITY OF ROCHESTER · PI ENGELHARDT, BRITTA, GABORSKI, THOMAS R · 2022 to 2024
$2.2M
Commercializing the μSIM: A Modular Platform for the Development and Analysis of Barrier Tissue ModelsR44GM137651 · NIGMS · SIMPORE, INC. · PI ROUSSIE, JAMES ANDREW · 2022 to 2023
$1.7M
The µSiM-hNVU - a human BBB platform for the study of brain injury mechanisms during systemic infectionR61HL154249 · NHLBI · UNIVERSITY OF ROCHESTER · PI ENGELHARDT, BRITTA, GABORSKI, THOMAS R · 2020 to 2021
$1.2M
Directed Cell Motility Along Gradients in Extracellular Matrix Fiber AlignmentR16GM146687 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI ABHYANKAR, VINAY V · 2022 to 2025
$930k
Electrokinetic lithography: in situ microengineering of anisotropic 3D collagen matricesR21GM143658 · NIGMS · ROCHESTER INSTITUTE OF TECHNOLOGY · PI ABHYANKAR, VINAY V · 2022 to 2023
$407k
Commercializing the µSIM: A Modular Platform for the Development and Analysis of Barrier Tissue ModelsR43GM137651 · NIGMS · SIMPORE, INC. · PI ROUSSIE, JAMES ANDREW · 2020 to 2020
$235k
NHLBI NIH HHS R33 HL154249NHLBI NIH HHS R61 HL154249NIEHS NIH HHS P30 ES001247NIGMS NIH HHS R16 GM146687NIGMS NIH HHS R21 GM143658NIGMS NIH HHS R43 GM137651NIGMS NIH HHS R44 GM137651
6 · The paper itself

Abstract

Microphysiological systems are miniaturized cell culture platforms used to mimic the structure and function of human tissues in a laboratory setting. However, these platforms have not gained widespread adoption in bioscience laboratories where open-well, membrane-based approaches serve as the gold standard for mimicking tissue barriers, despite lacking fluid flow capabilities. This issue can be primarily attributed to the incompatibility of existing microphysiological systems with standard protocols and tools developed for open-well systems. Here, we present a protocol for creating a reconfigurable membrane-based platform with an open-well structure, flow enhancement capability, and compatibility with conventional protocols. This system utilizes a magnetic assembly approach that enables reversible switching between open-well and microfluidic modes. With this approach, users have the flexibility to begin an experiment in the open-well format using standard protocols and add or remove flow capabilities as needed. To demonstrate the practical usage of this system and its compatibility with standard techniques, an endothelial cell monolayer was established in an open-well format. The system was reconfigured to introduce fluid flow and then switched to the open-well format to conduct immunostaining and RNA extraction. Due to its compatibility with conventional open-well protocols and flow enhancement capability, this reconfigurable design is expected to be adopted by both engineering and bioscience laboratories.

Indexed as

Cell Culture TechniquesMicrophysiological SystemsEndothelial CellsHumansLaboratoriesMicrofluidics

Identifiers

PMID38436378
PMCPMC11096840
OpenAlexW4392783176

What OpenQuestion holds

Textmetadata
LicenceTDM
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.