Evidence map›Paper›PMID 33117882›Full record

ArticleAdvanced therapeutics2020

Airplug-mediated isolation and centralization of single T cells in rectangular microwells for biosensing.

Pavithra Sukumar, Muhammedin Deliorman, Ayoola T Brimmo, Roaa Alnemari, Deena Elsori, Weiqiang Chen, Mohammad A Qasaimeh

Abstract read
In one paragraph

Article in Advanced therapeutics, 2020. 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. Next-Generation Microfluidics for Biomedical Research and Healthcare Applications.Biomedical engineering and computational biology · 2023
    Review
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

7 authors.

Pavithra SukumarDivision of Engineering, New York University Abu Dhabi (NYUAD), P.O. Box 129188, Abu Dhabi, UAE.
Muhammedin DeliormanDivision of Engineering, New York University Abu Dhabi (NYUAD), P.O. Box 129188, Abu Dhabi, UAE.
Ayoola T BrimmoDivision of Engineering, New York University Abu Dhabi (NYUAD), P.O. Box 129188, Abu Dhabi, UAE.
Roaa AlnemariDivision of Engineering, New York University Abu Dhabi (NYUAD), P.O. Box 129188, Abu Dhabi, UAE.
Deena ElsoriDepartment of Applied Sciences and Mathematics, Abu Dhabi University, P.O. Box 59911, Abu Dhabi, UAE.
Weiqiang ChenDepartment of Biomedical Engineering, New York University, Brooklyn, NY 11201, USA.
Mohammad A QasaimehDivision of Engineering, New York University Abu Dhabi (NYUAD), P.O. Box 129188, Abu Dhabi, UAE.

Funding

Purchase of spinning disk confocal microscopeR35GM133646 · NIGMS · NEW YORK UNIVERSITY · PI CHEN, WEIQIANG · 2019 to 2023
$2.0M
Engineered Glioblastoma Tumor Immunity for Personalized ImmunotherapyR21EB025406 · NIBIB · NEW YORK UNIVERSITY · PI CHEN, WEIQIANG, SNUDERL, MATIJA · 2018 to 2020
$610k
NIBIB NIH HHS R21 EB025406NIGMS NIH HHS R35 GM133646
6 · The paper itself

Abstract

Sorting cells in a single cell per microwell format is of great interest to basic biology studies, biotherapeutics, and biosensing including cell phenotyping. For instance, isolation of individual immune T cells in rectangular microwells has been shown to empower the multiplex cytokine profiling at the single cell level for therapeutics applications. The present study, however, shows that there is an existing bias in temporal cytokine sensing that originates from random "unpredicted" positions of loaded cells within the rectangular microwells. To eliminate this bias, the isolated cells need to be well-aligned with each other and relative to the sensing elements. Hence, an approach that utilizes the

Indexed as

airplugscentralizationmicrofluidicsmicrowellsT cells

Identifiers

PMID33117882
PMCPMC7591138

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.