Evidence map›Paper›PMID 37430051›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

A High-Throughput Single-Cell Assay on a Valve-Based Microfluidic Platform Applied to Protein Quantification, Immune Response Monitoring, and Drug Discovery.

Jonathan C Briones, Wilfred V Espulgar, Shohei Koyama, Hyota Takamatsu, Masato Saito, Eiichi Tamiya

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jonathan C BrionesLife and Medical Photonics Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan.
Wilfred V EspulgarDepartment of Physics, College of Science, De La Salle University, Manila, Philippines.
Shohei KoyamaDepartment of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Hyota TakamatsuDepartment of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Masato SaitoLife and Medical Photonics Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan.
Eiichi TamiyaNational Institute of Advanced Industrial Science and Technology, PhotoBIO Open Innovation Laboratory, Osaka, Japan. tamiya@ap.eng.osaka-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of microfluidic technology in single-cell assay has shown potential in biomedical applications like protein quantification, immune response monitoring, and drug discovery. Because of the details of information that can be obtained at single-cell resolution, the single-cell assay has been applied to tackle challenging issues such as cancer treatment. Information like the levels of protein expression, cellular heterogeneity, and unique behaviors within subsets are very important in the biomedical field. For a single-cell assay system, a high-throughput platform that can do on-demand media exchange and real-time monitoring is advantageous in single-cell screening and profiling. In this work, a high-throughput valve-based device is presented, its use in single-cell assay, particularly in protein quantification and surface-marker analysis, and its potential application to immune response monitoring and drug discovery are laid down in detail.

Indexed as

Drug DiscoveryMicrofluidicsBiological AssayCathetersHigh-Throughput Screening AssaysEnzymatic activity assayImmune response monitoringMicrofluidicsProtein quantificationSingle cell

Identifiers

PMID37430051

What OpenQuestion holds

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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.