Evidence map›Paper›PMID 34502775›Full record

ArticleSensors (Basel, Switzerland)2021

Electrical Detection of Innate Immune Cells.

Mahmoud Al Ahmad, Rasha A Nasser, Lillian J A Olule, Bassam R Ali

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Special Issue "Computer Aided Diagnosis Sensors".Sensors (Basel, Switzerland) · 2022
    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

4 authors.

Mahmoud Al AhmadDepartment of Electrical Engineering, College of Engineering, UAE University, Al Ain 15551, United Arab Emirates.ORCID 0000-0003-1243-5207
Rasha A NasserDepartment of Genetics and Genomics, College of Medicine and Health Sciences (CMHS), UAE University, Al Ain 15551, United Arab Emirates.
Lillian J A OluleDepartment of Electrical Engineering, College of Engineering, UAE University, Al Ain 15551, United Arab Emirates.ORCID 0000-0003-0559-8171
Bassam R AliDepartment of Genetics and Genomics, College of Medicine and Health Sciences (CMHS), UAE University, Al Ain 15551, United Arab Emirates.ORCID 0000-0003-1306-6618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately classifying the innate immune players is essential to comprehensively and quantitatively evaluate the interactions between the innate and the adaptive immune systems. In addition, accurate classification enables the development of models to predict behavior and to improve prospects for therapeutic manipulation of inflammatory diseases and cancer. Rapid development in technologies that provide an accurate definition of the type of cell in action, allows the field of innate immunity to the lead in therapy developments. This article presents a novel immunophenotyping technique using electrical characterization to differentiate between the two most important cell types of the innate immune system: dendritic cells (DCs) and macrophages (MACs). The electrical characterization is based on capacitance measurements, which is a reliable marker for cell surface area and hence cell size. We differentiated THP-1 cells into DCs and MACs in vitro and conducted electrical measurements on the three cell types. The results showed average capacitance readings of 0.83 µF, 0.93 µF, and 1.01 µF for THP-1, DCs, and MACs, respectively. This corresponds to increasing cell size since capacitance is directly proportional to area. The results were verified with image processing. Image processing was used for verification because unlike conventional techniques, especially flow cytometry, it avoids cross referencing and by-passes the limitation of a lack of specificity of markers used to detect the different cell types.

Indexed as

Dendritic CellsImmunity, InnateCells, CulturedFlow CytometryMacrophagesdendritic cellselectrical characterizationimage processingimmune systemmacrophages

Identifiers

PMID34502775
PMCPMC8433726

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.