Evidence map›Paper›PMID 34108507›Full record

ArticleScientific reports2021

A high-throughput microfluidic bilayer co-culture platform to study endothelial-pericyte interactions.

Miles T Rogers, Ashley L Gard, Robert Gaibler, Thomas J Mulhern, Rivka Strelnikov, Hesham Azizgolshani, Brian P Cain, Brett C Isenberg, Nerses J Haroutunian, Nicole E Raustad and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  9. Perspective of usingFrontiers in immunology · 2025
    Review
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  13. Review
  14. Article
  15. Article
  16. Article
  17. Engineering Organ-on-a-Chip Systems for Vascular Diseases.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Review
  18. Article
  19. Article
  20. 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

16 authors.

Miles T Rogers *The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Ashley L Gard *The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Robert Gaibler *The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Thomas J Mulhern *The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Rivka Strelnikov *The Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Hesham AzizgolshaniThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Brian P CainThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Brett C IsenbergThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Nerses J HaroutunianThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Nicole E RaustadThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Philip M KeeganThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Matthew P LechPfizer, Inc., 1 Portland St, Cambridge, MA, 02139, USA.
Lindsay TomlinsonPfizer, Inc., 1 Portland St, Cambridge, MA, 02139, USA.
Jeffrey T BorensteinThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA.
Joseph L CharestThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA. jcharest@draper.com.
Corin WilliamsThe Charles Stark Draper Laboratory Inc., 555 Technology Square, Cambridge, MA, 02139, USA. cwilliams@draper.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microphysiological organ-on-chip models offer the potential to improve the prediction of drug safety and efficacy through recapitulation of human physiological responses. The importance of including multiple cell types within tissue models has been well documented. However, the study of cell interactions in vitro can be limited by complexity of the tissue model and throughput of current culture systems. Here, we describe the development of a co-culture microvascular model and relevant assays in a high-throughput thermoplastic organ-on-chip platform, PREDICT96. The system consists of 96 arrayed bilayer microfluidic devices containing retinal microvascular endothelial cells and pericytes cultured on opposing sides of a microporous membrane. Compatibility of the PREDICT96 platform with a variety of quantifiable and scalable assays, including macromolecular permeability, image-based screening, Luminex, and qPCR, is demonstrated. In addition, the bilayer design of the devices allows for channel- or cell type-specific readouts, such as cytokine profiles and gene expression. The microvascular model was responsive to perturbations including barrier disruption, inflammatory stimulation, and fluid shear stress, and our results corroborated the improved robustness of co-culture over endothelial mono-cultures. We anticipate the PREDICT96 platform and adapted assays will be suitable for other complex tissues, including applications to disease models and drug discovery.

Indexed as

Cell CommunicationCell Membrane PermeabilityCells, CulturedCoculture TechniquesDermisEndothelium, VascularHumansMicrofluidic Analytical TechniquesPericytesRetina

Identifiers

PMID34108507
PMCPMC8190127

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Registered trials

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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.