Evidence map›Paper›PMID 29290811›Full record

ArticleTheranostics2018

Development and Comparison of Two Immuno-disaggregation Based Bioassays for Cell Secretome Analysis.

Pawan Kc, Fan Liu, Jiang Zhe, Ge Zhang

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Theranostics, 2018. 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

4 authors.

Pawan KcDepartment of Biomedical Engineering, University of Akron, Akron, Ohio 44325, United States.
Fan LiuDepartment of Mechanical Engineering, University of Akron, Akron, Ohio 44325, United States.
Jiang ZheDepartment of Mechanical Engineering, University of Akron, Akron, Ohio 44325, United States.
Ge ZhangDepartment of Biomedical Engineering, University of Akron, Akron, Ohio 44325, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell secretome analysis has gained increasing attention towards the development of effective strategies for disease treatment. Analysis of cell secretome enables the platform to monitor the status of disease progression, facilitating therapeutic outcomes. However, cell secretome analysis is very challenging due to its versatile and dynamic composition. Here, we report the development of two immuno-disaggregation bioassays using functionalized microparticles for the quantitative analysis of the cell secretome.

Indexed as

Biological AssayCell Culture TechniquesCell-Derived MicroparticlesCell SeparationFlow CytometryHumansProteinsSecretory PathwayVascular Endothelial Growth Factor AProteinsVascular Endothelial Growth Factor Acell secretomecompetitive immunoreactionImmuno-disaggregationmicroparticle.vascular endothelial growth factor

Identifiers

PMID29290811
PMCPMC5743551

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.