Evidence map›Paper›PMID 29128921›Full record

ArticleBiomedical microdevices2017

A microfluidic in-line ELISA for measuring secreted protein under perfusion.

Qiyue Luan, Stacey Cahoon, Agnes Wu, Shyam Sundhar Bale, Martin Yarmush, Abhinav Bhushan

Open access · greenAbstract read
In one paragraph

Article in Biomedical microdevices, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 10 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

6 authors at 4 institutions in 1 country.

Qiyue LuanDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
Stacey CahoonDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
Agnes WuDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
Shyam Sundhar BaleCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Martin YarmushCenter for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Abhinav BhushanDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA. abhushan@iit.edu.ORCID http://orcid.org/0000-0002-8861-9005
Illinois Institute of Technology · USHarvard University · USIIT Research Institute · USRutgers, The State University of New Jersey · US

Funding

Dynamics of Altered Metabolic States using a Microfluidic Living Cell PlatformR00DK095984 · NIDDK · STATE UNIVERSITY OF NY,BINGHAMTON · PI BHUSHAN, ABHINAV · 2015 to 2017
$717k
Dynamics of Altered Metabolic States using a Microfluidic Living Cell PlatformK99DK095984 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BHUSHAN, ABHINAV · 2013 to 2014
$180k
National Institute of Diabetes and Digestive and Kidney Diseases DK095984NIDDK NIH HHS K99 DK095984NIDDK NIH HHS R00 DK095984
6 · The paper itself

Abstract

Recent progress in the development of microfluidic microphysiological systems such as 'organs-on-chips' and microfabricated cell culture is geared to simulate organ-level physiology. These tissue models leverage microengineering technologies that provide capabilities of presenting cultured cells with input signals in a more physiologically relevant context such as perfused flow. Proteins that are secreted from cells have important information about the health of the cells. Techniques to quantify cellular proteins include mass spectrometry to ELISA (enzyme-linked immunosorbent assay). Although our capability to perturb the cells in the microphysiological systems with varying inputs is well established, we lack the tools to monitor in-line the cellular responses. User intervention for sample collection and off-site is cumbersome, causes delays in obtaining results, and is especially expensive because of collection, storage, and offline processing of the samples, and in many case, technically impractical to carry out because of limitated sample volumes. To address these shortcomings, we report the development of an ELISA that is carried out in-line under perfusion within a microfluidic device. Using this assay, we measured the albumin secreted from perfused hepatocytes without and under stimulation by IL-6. Since the method is based on a sandwich ELISA, we envision broad application of this technology to not just organs-on-chips but also to characterizing the temporal release and measurement of soluble factors and response to drugs.

Indexed as

Enzyme-Linked Immunosorbent AssayLab-On-A-Chip DevicesAlbuminsAnimalsCells, CulturedHepatocytesImage Processing, Computer-AssistedInterleukin-6MicrotechnologyModels, TheoreticalPerfusionRatsAlbuminsInterleukin-6Cellular responseELISAIn-line measurementMicrofluidics

Identifiers

PMID29128921
PMCPMC6335147
OpenAlexW2767468688

What OpenQuestion holds

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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.